1
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Torre D, Fstkchyan YS, Ho JSY, Cheon Y, Patel RS, Degrace EJ, Mzoughi S, Schwarz M, Mohammed K, Seo JS, Romero-Bueno R, Demircioglu D, Hasson D, Tang W, Mahajani SU, Campisi L, Zheng S, Song WS, Wang YC, Shah H, Francoeur N, Soto J, Salfati Z, Weirauch MT, Warburton P, Beaumont K, Smith ML, Mulder L, Villalta SA, Kessenbrock K, Jang C, Lee D, De Rubeis S, Cobos I, Tam O, Hammell MG, Seldin M, Shi Y, Basu U, Sebastiano V, Byun M, Sebra R, Rosenberg BR, Benner C, Guccione E, Marazzi I. Nuclear RNA catabolism controls endogenous retroviruses, gene expression asymmetry, and dedifferentiation. Mol Cell 2023; 83:4255-4271.e9. [PMID: 37995687 PMCID: PMC10842741 DOI: 10.1016/j.molcel.2023.10.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/28/2023] [Accepted: 10/26/2023] [Indexed: 11/25/2023]
Abstract
Endogenous retroviruses (ERVs) are remnants of ancient parasitic infections and comprise sizable portions of most genomes. Although epigenetic mechanisms silence most ERVs by generating a repressive environment that prevents their expression (heterochromatin), little is known about mechanisms silencing ERVs residing in open regions of the genome (euchromatin). This is particularly important during embryonic development, where induction and repression of distinct classes of ERVs occur in short temporal windows. Here, we demonstrate that transcription-associated RNA degradation by the nuclear RNA exosome and Integrator is a regulatory mechanism that controls the productive transcription of most genes and many ERVs involved in preimplantation development. Disrupting nuclear RNA catabolism promotes dedifferentiation to a totipotent-like state characterized by defects in RNAPII elongation and decreased expression of long genes (gene-length asymmetry). Our results indicate that RNA catabolism is a core regulatory module of gene networks that safeguards RNAPII activity, ERV expression, cell identity, and developmental potency.
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Affiliation(s)
- Denis Torre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for OncoGenomics and Innovative Therapeutics (COGIT), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yesai S Fstkchyan
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jessica Sook Yuin Ho
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Youngseo Cheon
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea; Department of Biological Chemistry, University of California Irvine, Irvine, CA 92697, USA; Center for Epigenetics and Metabolism, University of California Irvine, Irvine, CA 92697, USA
| | - Roosheel S Patel
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Emma J Degrace
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Slim Mzoughi
- Center for OncoGenomics and Innovative Therapeutics (COGIT), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Megan Schwarz
- Center for OncoGenomics and Innovative Therapeutics (COGIT), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kevin Mohammed
- Center for OncoGenomics and Innovative Therapeutics (COGIT), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ji-Seon Seo
- Department of Biological Chemistry, University of California Irvine, Irvine, CA 92697, USA; Center for Epigenetics and Metabolism, University of California Irvine, Irvine, CA 92697, USA
| | - Raquel Romero-Bueno
- Department of Biological Chemistry, University of California Irvine, Irvine, CA 92697, USA; Center for Epigenetics and Metabolism, University of California Irvine, Irvine, CA 92697, USA
| | - Deniz Demircioglu
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Bioinformatics for Next Generation Sequencing (BiNGS) Shared Resource Facility, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Dan Hasson
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Bioinformatics for Next Generation Sequencing (BiNGS) Shared Resource Facility, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Weijing Tang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Sameehan U Mahajani
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Laura Campisi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Simin Zheng
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Won-Suk Song
- Department of Biological Chemistry, University of California Irvine, Irvine, CA 92697, USA; Center for Epigenetics and Metabolism, University of California Irvine, Irvine, CA 92697, USA
| | - Ying-Chih Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Hardik Shah
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nancy Francoeur
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Juan Soto
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Zelda Salfati
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Matthew T Weirauch
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
| | - Peter Warburton
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kristin Beaumont
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Melissa L Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Lubbertus Mulder
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - S Armando Villalta
- Department of Physiology and Biophysics, University of California Irvine, Irvine, CA 92697, USA
| | - Kai Kessenbrock
- Department of Biological Chemistry, University of California Irvine, Irvine, CA 92697, USA
| | - Cholsoon Jang
- Department of Biological Chemistry, University of California Irvine, Irvine, CA 92697, USA; Center for Epigenetics and Metabolism, University of California Irvine, Irvine, CA 92697, USA
| | - Daeyoup Lee
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea
| | - Silvia De Rubeis
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, The Mindich Child Health and Development Institute, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Inma Cobos
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Oliver Tam
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | | | - Marcus Seldin
- Department of Biological Chemistry, University of California Irvine, Irvine, CA 92697, USA; Center for Epigenetics and Metabolism, University of California Irvine, Irvine, CA 92697, USA
| | - Yongsheng Shi
- Center for Epigenetics and Metabolism, University of California Irvine, Irvine, CA 92697, USA; Department of Microbiology and Molecular Genetics, School of Medicine, University of California Irvine, Irvine, CA 92697, USA
| | - Uttiya Basu
- Department of Microbiology & Immunology, Columbia University Medical Center, New York, NY 10032, USA
| | - Vittorio Sebastiano
- Institute for Stem Cell Biology and Regenerative Medicine and the Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Minji Byun
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Brad R Rosenberg
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chris Benner
- Department of Medicine, University of California, San Diego, San Diego, CA 92093, USA
| | - Ernesto Guccione
- Center for OncoGenomics and Innovative Therapeutics (COGIT), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pharmacological Sciences and Mount Sinai Center for Therapeutics Discovery, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Ivan Marazzi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Biological Chemistry, University of California Irvine, Irvine, CA 92697, USA; Center for Epigenetics and Metabolism, University of California Irvine, Irvine, CA 92697, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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2
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Torre D, Francoeur NJ, Kalma Y, Gross Carmel I, Melo BS, Deikus G, Allette K, Flohr R, Fridrikh M, Vlachos K, Madrid K, Shah H, Wang YC, Sridhar SH, Smith ML, Eliyahu E, Azem F, Amir H, Mayshar Y, Marazzi I, Guccione E, Schadt E, Ben-Yosef D, Sebra R. Isoform-resolved transcriptome of the human preimplantation embryo. Nat Commun 2023; 14:6902. [PMID: 37903791 PMCID: PMC10616205 DOI: 10.1038/s41467-023-42558-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 10/15/2023] [Indexed: 11/01/2023] Open
Abstract
Human preimplantation development involves extensive remodeling of RNA expression and splicing. However, its transcriptome has been compiled using short-read sequencing data, which fails to capture most full-length mRNAs. Here, we generate an isoform-resolved transcriptome of early human development by performing long- and short-read RNA sequencing on 73 embryos spanning the zygote to blastocyst stages. We identify 110,212 unannotated isoforms transcribed from known genes, including highly conserved protein-coding loci and key developmental regulators. We further identify 17,964 isoforms from 5,239 unannotated genes, which are largely non-coding, primate-specific, and highly associated with transposable elements. These isoforms are widely supported by the integration of published multi-omics datasets, including single-cell 8CLC and blastoid studies. Alternative splicing and gene co-expression network analyses further reveal that embryonic genome activation is associated with splicing disruption and transient upregulation of gene modules. Together, these findings show that the human embryo transcriptome is far more complex than currently known, and will act as a valuable resource to empower future studies exploring development.
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Affiliation(s)
- Denis Torre
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | | | - Yael Kalma
- Fertility and IVF Institute, Tel-Aviv Sourasky Medical Center, Affiliated to Tel Aviv University, Tel Aviv, 64239, Israel
| | - Ilana Gross Carmel
- Fertility and IVF Institute, Tel-Aviv Sourasky Medical Center, Affiliated to Tel Aviv University, Tel Aviv, 64239, Israel
| | - Betsaida S Melo
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Gintaras Deikus
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Kimaada Allette
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ron Flohr
- Department of Cell and Developmental Biology, Sackler Faculty of Medicine, Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, 69978, Israel
- CORAL - Center Of Regeneration and Longevity, Tel-Aviv Sourasky Medical Center, Tel Aviv, 64239, Israel
| | - Maya Fridrikh
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | | | - Kent Madrid
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Hardik Shah
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ying-Chih Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Shwetha H Sridhar
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Melissa L Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, 40202, USA
| | - Efrat Eliyahu
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Foad Azem
- Fertility and IVF Institute, Tel-Aviv Sourasky Medical Center, Affiliated to Tel Aviv University, Tel Aviv, 64239, Israel
| | - Hadar Amir
- Fertility and IVF Institute, Tel-Aviv Sourasky Medical Center, Affiliated to Tel Aviv University, Tel Aviv, 64239, Israel
| | - Yoav Mayshar
- Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Ivan Marazzi
- Department of Biological Chemistry, Center for Epigenetics and Metabolism, University of California, Irvine, CA, 92697, USA
| | - Ernesto Guccione
- Center for OncoGenomics and Innovative Therapeutics (COGIT); Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Eric Schadt
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Dalit Ben-Yosef
- Fertility and IVF Institute, Tel-Aviv Sourasky Medical Center, Affiliated to Tel Aviv University, Tel Aviv, 64239, Israel.
- Department of Cell and Developmental Biology, Sackler Faculty of Medicine, Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, 69978, Israel.
- CORAL - Center Of Regeneration and Longevity, Tel-Aviv Sourasky Medical Center, Tel Aviv, 64239, Israel.
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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3
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Rialdi A, Duffy M, Scopton AP, Fonseca F, Zhao JN, Schwarz M, Molina-Sanchez P, Mzoughi S, Arceci E, Abril-Fornaguera J, Meadows A, Ruiz de Galarreta M, Torre D, Reyes K, Lim YT, Rosemann F, Khan ZM, Mohammed K, Wang X, Yu X, Lakshmanan M, Rajarethinam R, Tan SY, Jin J, Villanueva A, Michailidis E, De Jong YP, Rice CM, Marazzi I, Hasson D, Llovet JM, Sobota RM, Lujambio A, Guccione E, Dar AC. WNTinib is a multi-kinase inhibitor with specificity against β-catenin mutant hepatocellular carcinoma. Nat Cancer 2023; 4:1157-1175. [PMID: 37537299 PMCID: PMC10948969 DOI: 10.1038/s43018-023-00609-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 07/05/2023] [Indexed: 08/05/2023]
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide. β-Catenin (CTNNB1)-mutated HCC represents 30% of cases of the disease with no precision therapeutics available. Using chemical libraries derived from clinical multi-kinase inhibitor (KI) scaffolds, we screened HCC organoids to identify WNTinib, a KI with exquisite selectivity in CTNNB1-mutated human and murine models, including patient samples. Multiomic and target engagement analyses, combined with rescue experiments and in vitro and in vivo efficacy studies, revealed that WNTinib is superior to clinical KIs and inhibits KIT/mitogen-activated protein kinase (MAPK) signaling at multiple nodes. Moreover, we demonstrate that reduced engagement on BRAF and p38α kinases by WNTinib relative to several multi-KIs is necessary to avoid compensatory feedback signaling-providing a durable and selective transcriptional repression of mutant β-catenin/Wnt targets through nuclear translocation of the EZH2 transcriptional repressor. Our studies uncover a previously unknown mechanism to harness the KIT/MAPK/EZH2 pathway to potently and selectively antagonize CTNNB1-mutant HCC with an unprecedented wide therapeutic index.
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Affiliation(s)
- Alex Rialdi
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for OncoGenomics and Innovative Therapeutics, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mary Duffy
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alex P Scopton
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Frank Fonseca
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for OncoGenomics and Innovative Therapeutics, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Julia Nanyi Zhao
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for OncoGenomics and Innovative Therapeutics, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Megan Schwarz
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for OncoGenomics and Innovative Therapeutics, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pedro Molina-Sanchez
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Slim Mzoughi
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for OncoGenomics and Innovative Therapeutics, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elisa Arceci
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for OncoGenomics and Innovative Therapeutics, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jordi Abril-Fornaguera
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Translational Research in Hepatic Oncology, Liver Unit, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Austin Meadows
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for OncoGenomics and Innovative Therapeutics, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marina Ruiz de Galarreta
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Denis Torre
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for OncoGenomics and Innovative Therapeutics, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kyna Reyes
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yan Ting Lim
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
| | - Felix Rosemann
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zaigham M Khan
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kevin Mohammed
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for OncoGenomics and Innovative Therapeutics, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Xuedi Wang
- Bioinformatics for Next Generation Sequencing Shared Resource Facility, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xufen Yu
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Manikandan Lakshmanan
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
| | - Ravisankar Rajarethinam
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
| | - Soo Yong Tan
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jian Jin
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Augusto Villanueva
- Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eleftherios Michailidis
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA
- Laboratory of Biochemical Pharmacology, Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA, USA
| | - Ype P De Jong
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA
- Division of Gastroenterology and Hepatology, Weill Cornell Medicine, New York, NY, USA
| | - Charles M Rice
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA
| | - Ivan Marazzi
- Department of Biological Cancer, University of California Irvine, Orange, CA, USA
| | - Dan Hasson
- Bioinformatics for Next Generation Sequencing Shared Resource Facility, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Josep M Llovet
- Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Translational Research in Hepatic Oncology, Liver Unit, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | - Radoslaw M Sobota
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
| | - Amaia Lujambio
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Ernesto Guccione
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Center for OncoGenomics and Innovative Therapeutics, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Bioinformatics for Next Generation Sequencing Shared Resource Facility, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Arvin C Dar
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Program in Chemical Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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4
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Torre D, Daley BJ. Concepts in health professions education: Using the lens of concept mapping for further understanding. A new feature for Medical Teacher. Med Teach 2023; 45:453-454. [PMID: 37029094 DOI: 10.1080/0142159x.2023.2185123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Affiliation(s)
- D Torre
- Medical Education, University of Central Florida College of Medicine, Orlando, FL, USA
| | - B J Daley
- Professor of Adult and Continuing Education, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
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5
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Schwarz M, Torre D, Lozano-Ojalvo D, Tan AT, Tabaglio T, Mzoughi S, Sanchez-Tarjuelo R, Le Bert N, Lim JME, Hatem S, Tuballes K, Camara C, Lopez-Granados E, Paz-Artal E, Correa-Rocha R, Ortiz A, Lopez-Hoyos M, Portoles J, Cervera I, Gonzalez-Perez M, Bodega-Mayor I, Conde P, Oteo-Iglesias J, Borobia AM, Carcas AJ, Frías J, Belda-Iniesta C, Ho JSY, Nunez K, Hekmaty S, Mohammed K, Marsiglia WM, Carreño JM, Dar AC, Berin C, Nicoletti G, Della Noce I, Colombo L, Lapucci C, Santoro G, Ferrari M, Nie K, Patel M, Barcessat V, Gnjatic S, Harris J, Sebra R, Merad M, Krammer F, Kim-Schulze S, Marazzi I, Bertoletti A, Ochando J, Guccione E. Rapid, scalable assessment of SARS-CoV-2 cellular immunity by whole-blood PCR. Nat Biotechnol 2022; 40:1680-1689. [PMID: 35697804 PMCID: PMC10603792 DOI: 10.1038/s41587-022-01347-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 05/02/2022] [Indexed: 12/30/2022]
Abstract
Fast, high-throughput methods for measuring the level and duration of protective immune responses to SARS-CoV-2 are needed to anticipate the risk of breakthrough infections. Here we report the development of two quantitative PCR assays for SARS-CoV-2-specific T cell activation. The assays are rapid, internally normalized and probe-based: qTACT requires RNA extraction and dqTACT avoids sample preparation steps. Both assays rely on the quantification of CXCL10 messenger RNA, a chemokine whose expression is strongly correlated with activation of antigen-specific T cells. On restimulation of whole-blood cells with SARS-CoV-2 viral antigens, viral-specific T cells secrete IFN-γ, which stimulates monocytes to produce CXCL10. CXCL10 mRNA can thus serve as a proxy to quantify cellular immunity. Our assays may allow large-scale monitoring of the magnitude and duration of functional T cell immunity to SARS-CoV-2, thus helping to prioritize revaccination strategies in vulnerable populations.
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Affiliation(s)
- Megan Schwarz
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Denis Torre
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Daniel Lozano-Ojalvo
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anthony T Tan
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
| | - Tommaso Tabaglio
- Institute of Molecular and Cell Biology, IMCB, A*STAR, Singapore, Singapore
| | - Slim Mzoughi
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rodrigo Sanchez-Tarjuelo
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- National Center for Microbiology, Carlos III Health Institute, Madrid, Spain
| | - Nina Le Bert
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
| | - Joey Ming Er Lim
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
| | - Sandra Hatem
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kevin Tuballes
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carmen Camara
- Department of Immunology, University Hospital La Paz-IdiPAZ, Madrid, Spain
| | | | - Estela Paz-Artal
- Department of Immunology, Research Institution, Sanitaria Hospital, Madrid, Spain
- Department of Immunology, Ophthalmology and ENT, Complutense University of Madrid, Madrid, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Carlos III Health Institute, Madrid, Spain
| | - Rafael Correa-Rocha
- Laboratory of Immune-Regulation, Research Institute Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Alberto Ortiz
- Department of Nephrology, IIS-Fundación Jimenez Díaz, Madrid, Spain
| | - Marcos Lopez-Hoyos
- Department of Immunology, Hospital University of Marqués de Valdecilla-IDIVAL, Santander, Spain
| | - Jose Portoles
- Department of Nephrology, Hospital of Puerta de Hierro, Madrid, Spain
| | - Isabel Cervera
- National Center for Microbiology, Carlos III Health Institute, Madrid, Spain
| | | | - Irene Bodega-Mayor
- National Center for Microbiology, Carlos III Health Institute, Madrid, Spain
| | - Patricia Conde
- National Center for Microbiology, Carlos III Health Institute, Madrid, Spain
| | - Jesús Oteo-Iglesias
- National Center for Microbiology, Carlos III Health Institute, Madrid, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Carlos III Health Institute, Madrid, Spain
| | - Alberto M Borobia
- Clinical Pharmacology, University Hospital La Paz-IDIPAZ, Platform of Clinical Research Units and Clinical Trials, Spain Faculty of Medicine Autonomous University of Madrid, Madrid, Spain
| | - Antonio J Carcas
- Clinical Pharmacology, University Hospital La Paz-IDIPAZ, Platform of Clinical Research Units and Clinical Trials, Spain Faculty of Medicine Autonomous University of Madrid, Madrid, Spain
| | - Jesús Frías
- Clinical Pharmacology, University Hospital La Paz-IDIPAZ, Platform of Clinical Research Units and Clinical Trials, Spain Faculty of Medicine Autonomous University of Madrid, Madrid, Spain
| | | | - Jessica S Y Ho
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kemuel Nunez
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Saboor Hekmaty
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kevin Mohammed
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - William M Marsiglia
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Juan Manuel Carreño
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Arvin C Dar
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cecilia Berin
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | | | | | | | - Kai Nie
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Human Immune Monitoring Core, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Manishkumar Patel
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Human Immune Monitoring Core, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vanessa Barcessat
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sacha Gnjatic
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Human Immune Monitoring Core, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jocelyn Harris
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Human Immune Monitoring Core, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert Sebra
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Sema4, a Mount Sinai venture, Stamford, CT, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miriam Merad
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Human Immune Monitoring Core, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Seunghee Kim-Schulze
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Human Immune Monitoring Core, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ivan Marazzi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Antonio Bertoletti
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
| | - Jordi Ochando
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- National Center for Microbiology, Carlos III Health Institute, Madrid, Spain.
| | - Ernesto Guccione
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Bioinformatics for Next Generation Sequencing (BiNGS) Shared Resource Facility, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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6
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Gross SM, Dane MA, Smith RL, Devlin KL, McLean IC, Derrick DS, Mills CE, Subramanian K, London AB, Torre D, Evangelista JE, Clarke DJB, Xie Z, Erdem C, Lyons N, Natoli T, Pessa S, Lu X, Mullahoo J, Li J, Adam M, Wassie B, Liu M, Kilburn DF, Liby TA, Bucher E, Sanchez-Aguila C, Daily K, Omberg L, Wang Y, Jacobson C, Yapp C, Chung M, Vidovic D, Lu Y, Schurer S, Lee A, Pillai A, Subramanian A, Papanastasiou M, Fraenkel E, Feiler HS, Mills GB, Jaffe JD, Ma’ayan A, Birtwistle MR, Sorger PK, Korkola JE, Gray JW, Heiser LM. A multi-omic analysis of MCF10A cells provides a resource for integrative assessment of ligand-mediated molecular and phenotypic responses. Commun Biol 2022; 5:1066. [PMID: 36207580 PMCID: PMC9546880 DOI: 10.1038/s42003-022-03975-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 09/12/2022] [Indexed: 02/01/2023] Open
Abstract
The phenotype of a cell and its underlying molecular state is strongly influenced by extracellular signals, including growth factors, hormones, and extracellular matrix proteins. While these signals are normally tightly controlled, their dysregulation leads to phenotypic and molecular states associated with diverse diseases. To develop a detailed understanding of the linkage between molecular and phenotypic changes, we generated a comprehensive dataset that catalogs the transcriptional, proteomic, epigenomic and phenotypic responses of MCF10A mammary epithelial cells after exposure to the ligands EGF, HGF, OSM, IFNG, TGFB and BMP2. Systematic assessment of the molecular and cellular phenotypes induced by these ligands comprise the LINCS Microenvironment (ME) perturbation dataset, which has been curated and made publicly available for community-wide analysis and development of novel computational methods ( synapse.org/LINCS_MCF10A ). In illustrative analyses, we demonstrate how this dataset can be used to discover functionally related molecular features linked to specific cellular phenotypes. Beyond these analyses, this dataset will serve as a resource for the broader scientific community to mine for biological insights, to compare signals carried across distinct molecular modalities, and to develop new computational methods for integrative data analysis.
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Affiliation(s)
- Sean M. Gross
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - Mark A. Dane
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - Rebecca L. Smith
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - Kaylyn L. Devlin
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - Ian C. McLean
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - Daniel S. Derrick
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - Caitlin E. Mills
- grid.38142.3c000000041936754XLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA USA
| | - Kartik Subramanian
- grid.38142.3c000000041936754XLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA USA
| | - Alexandra B. London
- grid.59734.3c0000 0001 0670 2351Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Denis Torre
- grid.59734.3c0000 0001 0670 2351Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - John Erol Evangelista
- grid.59734.3c0000 0001 0670 2351Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Daniel J. B. Clarke
- grid.59734.3c0000 0001 0670 2351Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Zhuorui Xie
- grid.59734.3c0000 0001 0670 2351Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Cemal Erdem
- grid.26090.3d0000 0001 0665 0280Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC USA
| | - Nicholas Lyons
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Ted Natoli
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Sarah Pessa
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Xiaodong Lu
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - James Mullahoo
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Jonathan Li
- grid.116068.80000 0001 2341 2786Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Miriam Adam
- grid.116068.80000 0001 2341 2786Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Brook Wassie
- grid.116068.80000 0001 2341 2786Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Moqing Liu
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - David F. Kilburn
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - Tiera A. Liby
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - Elmar Bucher
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - Crystal Sanchez-Aguila
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA
| | - Kenneth Daily
- grid.430406.50000 0004 6023 5303Sage Bionetworks, Seattle, WA USA
| | - Larsson Omberg
- grid.430406.50000 0004 6023 5303Sage Bionetworks, Seattle, WA USA
| | - Yunguan Wang
- grid.38142.3c000000041936754XLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA USA
| | - Connor Jacobson
- grid.38142.3c000000041936754XLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA USA
| | - Clarence Yapp
- grid.38142.3c000000041936754XLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA USA
| | - Mirra Chung
- grid.38142.3c000000041936754XLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA USA
| | - Dusica Vidovic
- grid.26790.3a0000 0004 1936 8606Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33136 USA ,grid.26790.3a0000 0004 1936 8606Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136 USA ,grid.26790.3a0000 0004 1936 8606Institute for Data Science & Computing, University of Miami, Miami, FL 33136 USA
| | - Yiling Lu
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Stephan Schurer
- grid.26790.3a0000 0004 1936 8606Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33136 USA ,grid.26790.3a0000 0004 1936 8606Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136 USA ,grid.26790.3a0000 0004 1936 8606Institute for Data Science & Computing, University of Miami, Miami, FL 33136 USA
| | - Albert Lee
- grid.94365.3d0000 0001 2297 5165Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, USA
| | - Ajay Pillai
- grid.94365.3d0000 0001 2297 5165Human Genome Research Institute, National Institutes of Health, Bethesda, USA
| | - Aravind Subramanian
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Malvina Papanastasiou
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Ernest Fraenkel
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.116068.80000 0001 2341 2786Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Heidi S. Feiler
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA ,grid.5288.70000 0000 9758 5690Knight Cancer Institute, OHSU, Portland, OR USA
| | - Gordon B. Mills
- grid.5288.70000 0000 9758 5690Knight Cancer Institute, OHSU, Portland, OR USA ,grid.5288.70000 0000 9758 5690Division of Oncological Sciences, OHSU, Portland, OR USA
| | - Jake D. Jaffe
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Avi Ma’ayan
- grid.59734.3c0000 0001 0670 2351Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Marc R. Birtwistle
- grid.26090.3d0000 0001 0665 0280Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC USA
| | - Peter K. Sorger
- grid.38142.3c000000041936754XLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA USA
| | - James E. Korkola
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA ,grid.5288.70000 0000 9758 5690Knight Cancer Institute, OHSU, Portland, OR USA
| | - Joe W. Gray
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA ,grid.5288.70000 0000 9758 5690Knight Cancer Institute, OHSU, Portland, OR USA
| | - Laura M. Heiser
- grid.5288.70000 0000 9758 5690Department of Biomedical Engineering, OHSU, Portland, OR USA ,grid.5288.70000 0000 9758 5690Knight Cancer Institute, OHSU, Portland, OR USA
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7
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Jenkins EC, Chattopadhyay M, Gomez M, Torre D, Ma'ayan A, Torres‐Martin M, Sia D, Germain D. Age alters the oncogenic trajectory toward luminal mammary tumors that activate unfolded proteins responses. Aging Cell 2022; 21:e13665. [PMID: 36111352 PMCID: PMC9577951 DOI: 10.1111/acel.13665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 06/06/2022] [Accepted: 06/21/2022] [Indexed: 01/25/2023] Open
Abstract
A major limitation in the use of mouse models in breast cancer research is that most mice develop estrogen receptor-alpha (ERα)-negative mammary tumors, while in humans, the majority of breast cancers are ERα-positive. Therefore, developing mouse models that best mimic the disease in humans is of fundamental need. Here, using an inducible MMTV-rtTA/TetO-NeuNT mouse model, we show that despite being driven by the same oncogene, mammary tumors in young mice are ERα-negative, while they are ERα-positive in aged mice. To further elucidate the mechanisms for this observation, we performed RNAseq analysis and identified genes that are uniquely expressed in aged female-derived mammary tumors. We found these genes to be involved in the activation of the ERα axis of the mitochondrial UPR and the ERα-mediated regulation of XBP-1s, a gene involved in the endoplasmic reticulum UPR. Collectively, our results indicate that aging alters the oncogenic trajectory towards the ERα-positive subtype of breast cancers, and that mammary tumors in aged mice are characterized by the upregulation of multiple UPR stress responses regulated by the ERα.
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Affiliation(s)
- Edmund Charles Jenkins
- Department of Medicine, Division of Hematology/Oncology, Tisch Cancer InstituteIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Mrittika Chattopadhyay
- Department of Medicine, Division of Hematology/Oncology, Tisch Cancer InstituteIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Maria Gomez
- Rutgers Cancer Institute of New JerseyNew BrunswickNew JerseyUSA
| | - Denis Torre
- Department of Pharmacological Sciences, Mount Sinai Center for BioinformaticsIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, Mount Sinai Center for BioinformaticsIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Miguel Torres‐Martin
- Clinical Genomics Research GroupGermans Trias I Pujol Research Institute (IGTP)BarcelonaSpain
| | - Daniela Sia
- Department of Medicine, Division of Liver Diseases, Tisch Cancer InstituteIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Doris Germain
- Department of Medicine, Division of Hematology/Oncology, Tisch Cancer InstituteIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
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8
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Campisi L, Chizari S, Ho JSY, Gromova A, Arnold FJ, Mosca L, Mei X, Fstkchyan Y, Torre D, Beharry C, Garcia-Forn M, Jiménez-Alcázar M, Korobeynikov VA, Prazich J, Fayad ZA, Seldin MM, De Rubeis S, Bennett CL, Ostrow LW, Lunetta C, Squatrito M, Byun M, Shneider NA, Jiang N, La Spada AR, Marazzi I. Author Correction: Clonally expanded CD8 T cells characterize amyotrophic lateral sclerosis-4. Nature 2022; 608:E34. [PMID: 35945277 PMCID: PMC11010733 DOI: 10.1038/s41586-022-05184-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Affiliation(s)
- Laura Campisi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Shahab Chizari
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Jessica S Y Ho
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anastasia Gromova
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA
- Department of Neurology, University of California, Irvine, Irvine, CA, USA
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA
- UCI Institute for Neurotherapeutics, University of California, Irvine, Irvine, CA, USA
| | - Frederick J Arnold
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA
- Department of Neurology, University of California, Irvine, Irvine, CA, USA
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA
- UCI Institute for Neurotherapeutics, University of California, Irvine, Irvine, CA, USA
| | - Lorena Mosca
- Medical Genetics Unit, Department of Laboratory Medicine, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Xueyan Mei
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yesai Fstkchyan
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Denis Torre
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mount Sinai Center for Therapeutics Discovery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cindy Beharry
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marta Garcia-Forn
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miguel Jiménez-Alcázar
- Seve Ballesteros Foundation Brain Tumor Group, Molecular Oncology Program, Spanish National Cancer Research Centre, Madrid, Spain
| | | | - Jack Prazich
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Zahi A Fayad
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marcus M Seldin
- Department of Biological Chemistry, Center for Epigenetics and Metabolism, University of California, Irvine, Irvine, CA, USA
| | - Silvia De Rubeis
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Craig L Bennett
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA
- Department of Neurology, University of California, Irvine, Irvine, CA, USA
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA
- UCI Institute for Neurotherapeutics, University of California, Irvine, Irvine, CA, USA
| | - Lyle W Ostrow
- Neuromuscular Division of the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christian Lunetta
- NEMO Clinical Center, Fondazione Serena Onlus, Milan, Italy
- Neurorehabilitation Department, Istituti Clinici Scientifici Maugeri, IRCCS, Milan, Italy
| | - Massimo Squatrito
- Seve Ballesteros Foundation Brain Tumor Group, Molecular Oncology Program, Spanish National Cancer Research Centre, Madrid, Spain
| | - Minji Byun
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Neil A Shneider
- Department of Neurology, Center for Motor Neuron Biology and Disease, Columbia University, New York, NY, USA
| | - Ning Jiang
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Albert R La Spada
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA.
- Department of Neurology, University of California, Irvine, Irvine, CA, USA.
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA.
- UCI Institute for Neurotherapeutics, University of California, Irvine, Irvine, CA, USA.
| | - Ivan Marazzi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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9
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Campisi L, Chizari S, Ho JSY, Gromova A, Arnold FJ, Mosca L, Mei X, Fstkchyan Y, Torre D, Beharry C, Garcia-Forn M, Jiménez-Alcázar M, Korobeynikov VA, Prazich J, Fayad ZA, Seldin MM, De Rubeis S, Bennett CL, Ostrow LW, Lunetta C, Squatrito M, Byun M, Shneider NA, Jiang N, La Spada AR, Marazzi I. Clonally expanded CD8 T cells characterize amyotrophic lateral sclerosis-4. Nature 2022; 606:945-952. [PMID: 35732742 PMCID: PMC10089623 DOI: 10.1038/s41586-022-04844-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 05/09/2022] [Indexed: 12/13/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a heterogenous neurodegenerative disorder that affects motor neurons and voluntary muscle control1. ALS heterogeneity includes the age of manifestation, the rate of progression and the anatomical sites of symptom onset. Disease-causing mutations in specific genes have been identified and define different subtypes of ALS1. Although several ALS-associated genes have been shown to affect immune functions2, whether specific immune features account for ALS heterogeneity is poorly understood. Amyotrophic lateral sclerosis-4 (ALS4) is characterized by juvenile onset and slow progression3. Patients with ALS4 show motor difficulties by the time that they are in their thirties, and most of them require devices to assist with walking by their fifties. ALS4 is caused by mutations in the senataxin gene (SETX). Here, using Setx knock-in mice that carry the ALS4-causative L389S mutation, we describe an immunological signature that consists of clonally expanded, terminally differentiated effector memory (TEMRA) CD8 T cells in the central nervous system and the blood of knock-in mice. Increased frequencies of antigen-specific CD8 T cells in knock-in mice mirror the progression of motor neuron disease and correlate with anti-glioma immunity. Furthermore, bone marrow transplantation experiments indicate that the immune system has a key role in ALS4 neurodegeneration. In patients with ALS4, clonally expanded TEMRA CD8 T cells circulate in the peripheral blood. Our results provide evidence of an antigen-specific CD8 T cell response in ALS4, which could be used to unravel disease mechanisms and as a potential biomarker of disease state.
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Affiliation(s)
- Laura Campisi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Shahab Chizari
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Jessica S Y Ho
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anastasia Gromova
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA
- Department of Neurology, University of California, Irvine, Irvine, CA, USA
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA
- UCI Institute for Neurotherapeutics, University of California, Irvine, Irvine, CA, USA
| | - Frederick J Arnold
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA
- Department of Neurology, University of California, Irvine, Irvine, CA, USA
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA
- UCI Institute for Neurotherapeutics, University of California, Irvine, Irvine, CA, USA
| | - Lorena Mosca
- Medical Genetics Unit, Department of Laboratory Medicine, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Xueyan Mei
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yesai Fstkchyan
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Denis Torre
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mount Sinai Center for Therapeutics Discovery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cindy Beharry
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marta Garcia-Forn
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miguel Jiménez-Alcázar
- Seve Ballesteros Foundation Brain Tumor Group, Molecular Oncology Program, Spanish National Cancer Research Centre, Madrid, Spain
| | | | - Jack Prazich
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Zahi A Fayad
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marcus M Seldin
- Department of Biological Chemistry, Center for Epigenetics and Metabolism, University of California, Irvine, Irvine, CA, USA
| | - Silvia De Rubeis
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Craig L Bennett
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA
- Department of Neurology, University of California, Irvine, Irvine, CA, USA
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA
- UCI Institute for Neurotherapeutics, University of California, Irvine, Irvine, CA, USA
| | - Lyle W Ostrow
- Neuromuscular Division of the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christian Lunetta
- NEMO Clinical Center, Fondazione Serena Onlus, Milan, Italy
- Neurorehabilitation Department, Istituti Clinici Scientifici Maugeri, IRCCS, Milan, Italy
| | - Massimo Squatrito
- Seve Ballesteros Foundation Brain Tumor Group, Molecular Oncology Program, Spanish National Cancer Research Centre, Madrid, Spain
| | - Minji Byun
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Neil A Shneider
- Department of Neurology, Center for Motor Neuron Biology and Disease, Columbia University, New York, NY, USA
| | - Ning Jiang
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Albert R La Spada
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA.
- Department of Neurology, University of California, Irvine, Irvine, CA, USA.
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA.
- UCI Institute for Neurotherapeutics, University of California, Irvine, Irvine, CA, USA.
| | - Ivan Marazzi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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10
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Gonzalez-Perez M, Montes-Casado M, Conde P, Cervera I, Baranda J, Berges-Buxeda MJ, Perez-Olmeda M, Sanchez-Tarjuelo R, Utrero-Rico A, Lozano-Ojalvo D, Torre D, Schwarz M, Guccione E, Camara C, Llópez-Carratalá MR, Gonzalez-Parra E, Portoles P, Ortiz A, Portoles J, Ochando J. Development of Potent Cellular and Humoral Immune Responses in Long-Term Hemodialysis Patients After 1273-mRNA SARS-CoV-2 Vaccination. Front Immunol 2022; 13:845882. [PMID: 35401504 PMCID: PMC8983822 DOI: 10.3389/fimmu.2022.845882] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/24/2022] [Indexed: 12/02/2022] Open
Abstract
Long-term hemodialysis (HD) patients are considered vulnerable and at high-risk of developing severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection due to their immunocompromised condition. Since COVID-19 associated mortality rates are higher in HD patients, vaccination is critical to protect them. The response towards vaccination against COVID-19 in HD patients is still uncertain and, in particular the cellular immune response is not fully understood. We monitored the humoral and cellular immune responses by analysis of the serological responses and Spike-specific cellular immunity in COVID-19-recovered and naïve HD patients in a longitudinal study shortly after vaccination to determine the protective effects of 1273-mRNA vaccination against SARS-CoV-2 in these high-risk patients. In naïve HD patients, the cellular immune response measured by IL-2 and IFN-ɣ secretion needed a second vaccine dose to significantly increase, with a similar pattern for the humoral response. In contrast, COVID-19 recovered HD patients developed a potent and rapid cellular and humoral immune response after the first vaccine dose. Interestingly, when comparing COVID-19 recovered healthy volunteers (HV), previously vaccinated with BNT162b2 vaccine to HD patients vaccinated with 1273-mRNA, these exhibited a more robust immune response that is maintained longitudinally. Our results indicate that HD patients develop strong cellular and humoral immune responses to 1273-mRNA vaccination and argue in favor of personalized immune monitoring studies in HD patients, especially if COVID-19 pre-exposed, to adapt COVID-19 vaccination protocols for this immunocompromised population.
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Affiliation(s)
| | - Maria Montes-Casado
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Patricia Conde
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Isabel Cervera
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Jana Baranda
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Mayte Perez-Olmeda
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Rodrigo Sanchez-Tarjuelo
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.,Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Alberto Utrero-Rico
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Daniel Lozano-Ojalvo
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Denis Torre
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Megan Schwarz
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Ernesto Guccione
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Carmen Camara
- Department of Immunology, Hospital La Paz, Madrid, Spain
| | | | - Emilio Gonzalez-Parra
- Department of Nephrology, Instituto de Investigación Sanitaria (IIS)-Fundación Jimenez Díaz, Madrid, Spain
| | - Pilar Portoles
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.,Presidencia, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Alberto Ortiz
- Department of Nephrology, Instituto de Investigación Sanitaria (IIS)-Fundación Jimenez Díaz, Madrid, Spain
| | - Jose Portoles
- Department of Nephrology, Hospital Puerta de Hierro, Madrid, Spain
| | - Jordi Ochando
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.,Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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11
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Wickramasinghe NM, Sachs D, Shewale B, Gonzalez DM, Dhanan-Krishnan P, Torre D, LaMarca E, Raimo S, Dariolli R, Serasinghe MN, Mayourian J, Sebra R, Beaumont K, Iyengar S, French DL, Hansen A, Eschenhagen T, Chipuk JE, Sobie EA, Jacobs A, Akbarian S, Ischiropoulos H, Ma'ayan A, Houten SM, Costa K, Dubois NC. PPARdelta activation induces metabolic and contractile maturation of human pluripotent stem cell-derived cardiomyocytes. Cell Stem Cell 2022; 29:559-576.e7. [PMID: 35325615 DOI: 10.1016/j.stem.2022.02.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 06/30/2021] [Accepted: 02/24/2022] [Indexed: 02/09/2023]
Abstract
Pluripotent stem-cell-derived cardiomyocytes (PSC-CMs) provide an unprecedented opportunity to study human heart development and disease, but they are functionally and structurally immature. Here, we induce efficient human PSC-CM (hPSC-CM) maturation through metabolic-pathway modulations. Specifically, we find that peroxisome-proliferator-associated receptor (PPAR) signaling regulates glycolysis and fatty acid oxidation (FAO) in an isoform-specific manner. While PPARalpha (PPARa) is the most active isoform in hPSC-CMs, PPARdelta (PPARd) activation efficiently upregulates the gene regulatory networks underlying FAO, increases mitochondrial and peroxisome content, enhances mitochondrial cristae formation, and augments FAO flux. PPARd activation further increases binucleation, enhances myofibril organization, and improves contractility. Transient lactate exposure, which is frequently used for hPSC-CM purification, induces an independent cardiac maturation program but, when combined with PPARd activation, still enhances oxidative metabolism. In summary, we investigate multiple metabolic modifications in hPSC-CMs and identify a role for PPARd signaling in inducing the metabolic switch from glycolysis to FAO in hPSC-CMs.
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Affiliation(s)
- Nadeera M Wickramasinghe
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - David Sachs
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bhavana Shewale
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - David M Gonzalez
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Priyanka Dhanan-Krishnan
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Denis Torre
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Elizabeth LaMarca
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Serena Raimo
- Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA
| | - Rafael Dariolli
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Madhavika N Serasinghe
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Joshua Mayourian
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kristin Beaumont
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Srinivas Iyengar
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mount Sinai Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Deborah L French
- Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA
| | - Arne Hansen
- University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | | | - Jerry E Chipuk
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eric A Sobie
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adam Jacobs
- Department of Obstetrics and Gynecology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Schahram Akbarian
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Harry Ischiropoulos
- Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sander M Houten
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kevin Costa
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nicole C Dubois
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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12
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Belbin GM, Rutledge S, Dodatko T, Cullina S, Turchin MC, Kohli S, Torre D, Yee MC, Gignoux CR, Abul-Husn NS, Houten SM, Kenny EE. Leveraging health systems data to characterize a large effect variant conferring risk for liver disease in Puerto Ricans. Am J Hum Genet 2021; 108:2099-2111. [PMID: 34678161 PMCID: PMC8595966 DOI: 10.1016/j.ajhg.2021.09.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 09/28/2021] [Indexed: 12/22/2022] Open
Abstract
The integration of genomic data into health systems offers opportunities to identify genomic factors underlying the continuum of rare and common disease. We applied a population-scale haplotype association approach based on identity-by-descent (IBD) in a large multi-ethnic biobank to a spectrum of disease outcomes derived from electronic health records (EHRs) and uncovered a risk locus for liver disease. We used genome sequencing and in silico approaches to fine-map the signal to a non-coding variant (c.2784-12T>C) in the gene ABCB4. In vitro analysis confirmed the variant disrupted splicing of the ABCB4 pre-mRNA. Four of five homozygotes had evidence of advanced liver disease, and there was a significant association with liver disease among heterozygotes, suggesting the variant is linked to increased risk of liver disease in an allele dose-dependent manner. Population-level screening revealed the variant to be at a carrier rate of 1.95% in Puerto Rican individuals, likely as the result of a Puerto Rican founder effect. This work demonstrates that integrating EHR and genomic data at a population scale can facilitate strategies for understanding the continuum of genomic risk for common diseases, particularly in populations underrepresented in genomic medicine.
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Affiliation(s)
- Gillian M Belbin
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Stephanie Rutledge
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Tetyana Dodatko
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sinead Cullina
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michael C Turchin
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sumita Kohli
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Denis Torre
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Muh-Ching Yee
- Stanford Functional Genomics Facility, Stanford University, Stanford, CA 94305, USA
| | - Christopher R Gignoux
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sander M Houten
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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13
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Onoufriadis A, Proudfoot LE, Ainali C, Torre D, Papanikolaou M, Rayinda T, Rashidghamat E, Danarti R, Mellerio JE, Ma'ayan A, McGrath JA. Transcriptomic profiling of recessive dystrophic epidermolysis bullosa wounded skin highlights drug repurposing opportunities to improve wound healing. Exp Dermatol 2021; 31:420-426. [PMID: 34694680 DOI: 10.1111/exd.14481] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 10/18/2021] [Accepted: 10/22/2021] [Indexed: 12/26/2022]
Abstract
Chronic wounds present a major disease burden in people with recessive dystrophic epidermolysis bullosa (RDEB), an inherited blistering skin disorder caused by mutations in COL7A1 encoding type VII collagen, the major component of anchoring fibrils at the dermal-epidermal junction. Treatment of RDEB wounds is mostly symptomatic, and there is considerable unmet need in trying to improve and accelerate wound healing. In this study, we defined transcriptomic profiles and gene pathways in RDEB wounds and compared these to intact skin in RDEB and healthy control subjects. We then used a reverse transcriptomics approach to discover drugs or compounds, which might restore RDEB wound profiles towards intact skin. Differential expression analysis identified >2000 differences between RDEB wounds and intact skin, with RDEB wounds displaying aberrant cytokine-cytokine interactions, Toll-like receptor signalling, and JAK-STAT signalling pathways. In-silico prediction for compounds that reverse gene expression signatures highlighted methotrexate as a leading candidate. Overall, this study provides insight into the molecular profiles of RDEB wounds and underscores the possible clinical value of reverse transcriptomics data analysis in RDEB, and the potential of this approach in discovering or repurposing drugs for other diseases.
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Affiliation(s)
- Alexandros Onoufriadis
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK
| | - Laura E Proudfoot
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK
| | | | - Denis Torre
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Maria Papanikolaou
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK
| | - Tuntas Rayinda
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK.,Department of Dermatology and Venereology, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada/Dr. Sardjito Hospital, Yogyakarta, Indonesia
| | - Ellie Rashidghamat
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK
| | - Retno Danarti
- Department of Dermatology and Venereology, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada/Dr. Sardjito Hospital, Yogyakarta, Indonesia
| | - Jemima E Mellerio
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - John A McGrath
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK
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14
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Kuleshov MV, Xie Z, London ABK, Yang J, Evangelista J, Lachmann A, Shu I, Torre D, Ma’ayan A. KEA3: improved kinase enrichment analysis via data integration. Nucleic Acids Res 2021; 49:W304-W316. [PMID: 34019655 PMCID: PMC8265130 DOI: 10.1093/nar/gkab359] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/06/2021] [Accepted: 04/22/2021] [Indexed: 12/27/2022] Open
Abstract
Phosphoproteomics and proteomics experiments capture a global snapshot of the cellular signaling network, but these methods do not directly measure kinase state. Kinase Enrichment Analysis 3 (KEA3) is a webserver application that infers overrepresentation of upstream kinases whose putative substrates are in a user-inputted list of proteins. KEA3 can be applied to analyze data from phosphoproteomics and proteomics studies to predict the upstream kinases responsible for observed differential phosphorylations. The KEA3 background database contains measured and predicted kinase-substrate interactions (KSI), kinase-protein interactions (KPI), and interactions supported by co-expression and co-occurrence data. To benchmark the performance of KEA3, we examined whether KEA3 can predict the perturbed kinase from single-kinase perturbation followed by gene expression experiments, and phosphoproteomics data collected from kinase-targeting small molecules. We show that integrating KSIs and KPIs across data sources to produce a composite ranking improves the recovery of the expected kinase. The KEA3 webserver is available at https://maayanlab.cloud/kea3.
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Affiliation(s)
- Maxim V Kuleshov
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Zhuorui Xie
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Alexandra B K London
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Janice Yang
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - John Erol Evangelista
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Alexander Lachmann
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Ingrid Shu
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Denis Torre
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Avi Ma’ayan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
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15
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Belbin GM, Cullina S, Wenric S, Soper ER, Glicksberg BS, Torre D, Moscati A, Wojcik GL, Shemirani R, Beckmann ND, Cohain A, Sorokin EP, Park DS, Ambite JL, Ellis S, Auton A, Bottinger EP, Cho JH, Loos RJF, Abul-Husn NS, Zaitlen NA, Gignoux CR, Kenny EE. Toward a fine-scale population health monitoring system. Cell 2021; 184:2068-2083.e11. [PMID: 33861964 DOI: 10.1016/j.cell.2021.03.034] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 11/18/2020] [Accepted: 03/12/2021] [Indexed: 12/22/2022]
Abstract
Understanding population health disparities is an essential component of equitable precision health efforts. Epidemiology research often relies on definitions of race and ethnicity, but these population labels may not adequately capture disease burdens and environmental factors impacting specific sub-populations. Here, we propose a framework for repurposing data from electronic health records (EHRs) in concert with genomic data to explore the demographic ties that can impact disease burdens. Using data from a diverse biobank in New York City, we identified 17 communities sharing recent genetic ancestry. We observed 1,177 health outcomes that were statistically associated with a specific group and demonstrated significant differences in the segregation of genetic variants contributing to Mendelian diseases. We also demonstrated that fine-scale population structure can impact the prediction of complex disease risk within groups. This work reinforces the utility of linking genomic data to EHRs and provides a framework toward fine-scale monitoring of population health.
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Affiliation(s)
- Gillian M Belbin
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sinead Cullina
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Stephane Wenric
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Emily R Soper
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Benjamin S Glicksberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Denis Torre
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Arden Moscati
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Genevieve L Wojcik
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Ruhollah Shemirani
- Information Science Institute, University of Southern California, Marina del Rey, CA 90089, USA
| | - Noam D Beckmann
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ariella Cohain
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Elena P Sorokin
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Danny S Park
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jose-Luis Ambite
- Information Science Institute, University of Southern California, Marina del Rey, CA 90089, USA
| | - Steve Ellis
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adam Auton
- Department of Genetics, Albert Einstein College of Medicine, New York, NY 10461, USA
| | -
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | -
- Regeneron Genetics Center, Tarrytown, New York, NY 10591, USA
| | - Erwin P Bottinger
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Judy H Cho
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ruth J F Loos
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Noah A Zaitlen
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA 90033, USA
| | - Christopher R Gignoux
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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16
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Austin E, Koo E, Merleev A, Torre D, Marusina A, Luxardi G, Mamalis A, Isseroff RR, Ma'ayan A, Maverakis E, Jagdeo J. Transcriptome analysis of human dermal fibroblasts following red light phototherapy. Sci Rep 2021; 11:7315. [PMID: 33795767 PMCID: PMC8017006 DOI: 10.1038/s41598-021-86623-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 03/16/2021] [Indexed: 11/09/2022] Open
Abstract
Fibrosis occurs when collagen deposition and fibroblast proliferation replace healthy tissue. Red light (RL) may improve skin fibrosis via photobiomodulation, the process by which photosensitive chromophores in cells absorb visible or near-infrared light and undergo photophysical reactions. Our previous research demonstrated that high fluence RL reduces fibroblast proliferation, collagen deposition, and migration. Despite the identification of several cellular mechanisms underpinning RL phototherapy, little is known about the transcriptional changes that lead to anti-fibrotic cellular responses. Herein, RNA sequencing was performed on human dermal fibroblasts treated with RL phototherapy. Pathway enrichment and transcription factor analysis revealed regulation of extracellular matrices, proliferation, and cellular responses to oxygen-containing compounds following RL phototherapy. Specifically, RL phototherapy increased the expression of MMP1, which codes for matrix metalloproteinase-1 (MMP-1) and is responsible for remodeling extracellular collagen. Differential regulation of MMP1 was confirmed with RT-qPCR and ELISA. Additionally, RL upregulated PRSS35, which has not been previously associated with skin activity, but has known anti-fibrotic functions. Our results suggest that RL may benefit patients by altering fibrotic gene expression.
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Affiliation(s)
- Evan Austin
- Department of Dermatology, University of California at Davis, Sacramento, CA, USA.,Department of Dermatology, SUNY Downstate, Brooklyn, NY, USA
| | - Eugene Koo
- Department of Dermatology, University of California at Davis, Sacramento, CA, USA
| | - Alexander Merleev
- Department of Dermatology, University of California at Davis, Sacramento, CA, USA
| | - Denis Torre
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai Health, New York, NY, USA
| | - Alina Marusina
- Department of Dermatology, University of California at Davis, Sacramento, CA, USA
| | - Guillaume Luxardi
- Department of Dermatology, University of California at Davis, Sacramento, CA, USA
| | - Andrew Mamalis
- Department of Dermatology, SUNY Downstate, Brooklyn, NY, USA
| | - Roslyn Rivkah Isseroff
- Department of Dermatology, University of California at Davis, Sacramento, CA, USA.,Dermatology Service, Sacramento VA Medical Center, Mather, CA, USA
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai Health, New York, NY, USA
| | - Emanual Maverakis
- Department of Dermatology, University of California at Davis, Sacramento, CA, USA
| | - Jared Jagdeo
- Department of Dermatology, University of California at Davis, Sacramento, CA, USA. .,Department of Dermatology, SUNY Downstate, Brooklyn, NY, USA. .,Dermatology Service, Sacramento VA Medical Center, Mather, CA, USA.
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17
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Mzoughi S, Fong JY, Papadopoli D, Koh CM, Hulea L, Pigini P, Di Tullio F, Andreacchio G, Hoppe MM, Wollmann H, Low D, Caldez MJ, Peng Y, Torre D, Zhao JN, Uchenunu O, Varano G, Motofeanu CM, Lakshmanan M, Teo SX, Wun CM, Perini G, Tan SY, Ong CB, Al-Haddawi M, Rajarethinam R, Hue SSS, Lim ST, Ong CK, Huang D, Ng SB, Bernstein E, Hasson D, Wee KB, Kaldis P, Jeyasekharan A, Dominguez-Sola D, Topisirovic I, Guccione E. PRDM15 is a key regulator of metabolism critical to sustain B-cell lymphomagenesis. Nat Commun 2020; 11:3520. [PMID: 32665551 PMCID: PMC7360777 DOI: 10.1038/s41467-020-17064-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 06/01/2020] [Indexed: 01/22/2023] Open
Abstract
PRDM (PRDI-BF1 and RIZ homology domain containing) family members are sequence-specific transcriptional regulators involved in cell identity and fate determination, often dysregulated in cancer. The PRDM15 gene is of particular interest, given its low expression in adult tissues and its overexpression in B-cell lymphomas. Despite its well characterized role in stem cell biology and during early development, the role of PRDM15 in cancer remains obscure. Herein, we demonstrate that while PRDM15 is largely dispensable for mouse adult somatic cell homeostasis in vivo, it plays a critical role in B-cell lymphomagenesis. Mechanistically, PRDM15 regulates a transcriptional program that sustains the activity of the PI3K/AKT/mTOR pathway and glycolysis in B-cell lymphomas. Abrogation of PRDM15 induces a metabolic crisis and selective death of lymphoma cells. Collectively, our data demonstrate that PRDM15 fuels the metabolic requirement of B-cell lymphomas and validate it as an attractive and previously unrecognized target in oncology.
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Affiliation(s)
- Slim Mzoughi
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jia Yi Fong
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore
| | - David Papadopoli
- Lady Davis Institute, SMBD JGH, McGill University, Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, H3T 1E2, Canada
| | - Cheryl M Koh
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Laura Hulea
- Lady Davis Institute, SMBD JGH, McGill University, Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, H3T 1E2, Canada
- Maisonneuve-Rosemont Hospital Research Centre, 5415 Assumption Blvd, Montreal, QC, H1T 2M4, Canada
- Département de Médecine, Université de Montréal, CP 6128, Succursale Centre-Ville, Montréal, QC, H3C 3J7, Canada
| | - Paolo Pigini
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Pharmacy and Biotechnology, University of Bologna, Via F. Selmi 3, 40126, Bologna, Italy
| | - Federico Di Tullio
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Giuseppe Andreacchio
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Pharmacy and Biotechnology, University of Bologna, Via F. Selmi 3, 40126, Bologna, Italy
| | - Michal Marek Hoppe
- Cancer Science Institute (CSI), National University of Singapore, Singapore, Singapore
| | - Heike Wollmann
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Diana Low
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Matias J Caldez
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Immunology Frontiers Research Center, Osaka University, 3-1 Yamada-oka, Suita, 565-0871, Japan
| | - Yanfen Peng
- Cancer Science Institute (CSI), National University of Singapore, Singapore, Singapore
| | - Denis Torre
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Julia N Zhao
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Oro Uchenunu
- Lady Davis Institute, SMBD JGH, McGill University, Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, H3T 1E2, Canada
| | - Gabriele Varano
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Immunology Institute and Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Corina-Mihaela Motofeanu
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Manikandan Lakshmanan
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Shun Xie Teo
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Cheng Mun Wun
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Giovanni Perini
- Department of Pharmacy and Biotechnology, University of Bologna, Via F. Selmi 3, 40126, Bologna, Italy
| | - Soo Yong Tan
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Advanced Molecular Pathology Laboratory, IMCB, Singapore, Singapore
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chee Bing Ong
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Advanced Molecular Pathology Laboratory, IMCB, Singapore, Singapore
| | - Muthafar Al-Haddawi
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Advanced Molecular Pathology Laboratory, IMCB, Singapore, Singapore
| | - Ravisankar Rajarethinam
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Advanced Molecular Pathology Laboratory, IMCB, Singapore, Singapore
| | - Susan Swee-Shan Hue
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University Hospital (NUH), Singapore, Singapore
| | - Soon Thye Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Choon Kiat Ong
- Duke-NUS Graduate Medical School, Singapore, Singapore
- Division of Cellular and Molecular Research, National Cancer Centre Singapore, Singapore, Singapore
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Dachuan Huang
- Division of Cellular and Molecular Research, National Cancer Centre Singapore, Singapore, Singapore
| | - Siok-Bian Ng
- Cancer Science Institute (CSI), National University of Singapore, Singapore, Singapore
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Emily Bernstein
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dan Hasson
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Keng Boon Wee
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Philipp Kaldis
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Anand Jeyasekharan
- Cancer Science Institute (CSI), National University of Singapore, Singapore, Singapore
| | - David Dominguez-Sola
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Immunology Institute and Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ivan Topisirovic
- Lady Davis Institute, SMBD JGH, McGill University, Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, H3T 1E2, Canada.
- Lady Davis Institute, SMBD JGH, McGill University, Departments of Experimental Medicine and Biochemistry, McGill University, Montreal, QC, H3T 1E2, Canada.
| | - Ernesto Guccione
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Mount Sinai Center for Therapeutics Discovery, Department of Oncological and Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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18
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Lachmann A, Schilder BM, Wojciechowicz ML, Torre D, Kuleshov MV, Keenan AB, Ma'ayan A. Geneshot: search engine for ranking genes from arbitrary text queries. Nucleic Acids Res 2020; 47:W571-W577. [PMID: 31114885 PMCID: PMC6602493 DOI: 10.1093/nar/gkz393] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 04/23/2019] [Accepted: 05/01/2019] [Indexed: 01/08/2023] Open
Abstract
The frequency by which genes are studied correlates with the prior knowledge accumulated about them. This leads to an imbalance in research attention where some genes are highly investigated while others are ignored. Geneshot is a search engine developed to illuminate this gap and to promote attention to the under-studied genome. Through a simple web interface, Geneshot enables researchers to enter arbitrary search terms, to receive ranked lists of genes relevant to the search terms. Returned ranked gene lists contain genes that were previously published in association with the search terms, as well as genes predicted to be associated with the terms based on data integration from multiple sources. The search results are presented with interactive visualizations. To predict gene function, Geneshot utilizes gene–gene similarity matrices from processed RNA-seq data, or from gene–gene co-occurrence data obtained from multiple sources. In addition, Geneshot can be used to analyze the novelty of gene sets and augment gene sets with additional relevant genes. The Geneshot web-server and API are freely and openly available from https://amp.pharm.mssm.edu/geneshot.
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Affiliation(s)
- Alexander Lachmann
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA
| | - Brian M Schilder
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA
| | - Megan L Wojciechowicz
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA
| | - Denis Torre
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA
| | - Maxim V Kuleshov
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA
| | - Alexandra B Keenan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA
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19
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Lachmann A, Clarke DJB, Torre D, Xie Z, Ma'ayan A. Interoperable RNA-Seq analysis in the cloud. Biochim Biophys Acta Gene Regul Mech 2020; 1863:194521. [PMID: 32156561 DOI: 10.1016/j.bbagrm.2020.194521] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 03/01/2020] [Accepted: 03/01/2020] [Indexed: 12/25/2022]
Abstract
RNA-Sequencing (RNA-Seq) is currently the leading technology for genome-wide transcript quantification. Mapping the raw reads to transcript and gene level counts can be achieved by different aligners. Here we report an in-depth comparison of transcript quantification methods. Our goal is the specific use of cost-efficient RNA-Seq analysis for deployment in a cloud infrastructure composed of interacting microservices. The individual modules cover file transfer into the cloud and APIs to handle the cloud alignment jobs. We next demonstrate how newly generated RNA-Seq data can be placed in the context of thousands of previously published datasets in near real time. With in-depth benchmarks, we identify suitable gene count quantification methods to facilitate cost-effective, accurate, and cloud-based RNA-Seq analysis service. Pseudo-alignment algorithms such as kallisto and Salmon combine high read quality estimation with cost efficient runtime performance. HISAT2 is the fastest of the classical aligners with good alignment quality. This article is part of a Special Issue entitled: Transcriptional Profiles and Regulatory Gene Networks edited by Dr. Federico Manuel Giorgi and Dr. Shaun Mahony.
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Affiliation(s)
- Alexander Lachmann
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA; Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), USA; Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), USA.
| | - Daniel J B Clarke
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA; Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), USA; Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), USA
| | - Denis Torre
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA; Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), USA; Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), USA
| | - Zhuorui Xie
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA; Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), USA
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA; Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), USA; Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), USA
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20
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Clarke DJB, Kuleshov MV, Schilder BM, Torre D, Duffy ME, Keenan AB, Lachmann A, Feldmann AS, Gundersen GW, Silverstein MC, Wang Z, Ma'ayan A. eXpression2Kinases (X2K) Web: linking expression signatures to upstream cell signaling networks. Nucleic Acids Res 2019; 46:W171-W179. [PMID: 29800326 PMCID: PMC6030863 DOI: 10.1093/nar/gky458] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 05/14/2018] [Indexed: 11/13/2022] Open
Abstract
While gene expression data at the mRNA level can be globally and accurately measured, profiling the activity of cell signaling pathways is currently much more difficult. eXpression2Kinases (X2K) computationally predicts involvement of upstream cell signaling pathways, given a signature of differentially expressed genes. X2K first computes enrichment for transcription factors likely to regulate the expression of the differentially expressed genes. The next step of X2K connects these enriched transcription factors through known protein–protein interactions (PPIs) to construct a subnetwork. The final step performs kinase enrichment analysis on the members of the subnetwork. X2K Web is a new implementation of the original eXpression2Kinases algorithm with important enhancements. X2K Web includes many new transcription factor and kinase libraries, and PPI networks. For demonstration, thousands of gene expression signatures induced by kinase inhibitors, applied to six breast cancer cell lines, are provided for fetching directly into X2K Web. The results are displayed as interactive downloadable vector graphic network images and bar graphs. Benchmarking various settings via random permutations enabled the identification of an optimal set of parameters to be used as the default settings in X2K Web. X2K Web is freely available from http://X2K.cloud.
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Affiliation(s)
- Daniel J B Clarke
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Maxim V Kuleshov
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Brian M Schilder
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Denis Torre
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Mary E Duffy
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Alexandra B Keenan
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Alexander Lachmann
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Axel S Feldmann
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Gregory W Gundersen
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Moshe C Silverstein
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Zichen Wang
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Avi Ma'ayan
- DBD2K-LINCS Data Coordination and Integration Center; Knowledge Management Center for the Illuminating the Druggable Genome; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
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21
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Koleti A, Terryn R, Stathias V, Chung C, Cooper DJ, Turner JP, Vidovic D, Forlin M, Kelley TT, D'Urso A, Allen BK, Torre D, Jagodnik KM, Wang L, Jenkins SL, Mader C, Niu W, Fazel M, Mahi N, Pilarczyk M, Clark N, Shamsaei B, Meller J, Vasiliauskas J, Reichard J, Medvedovic M, Ma'ayan A, Pillai A, Schürer SC. Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data. Nucleic Acids Res 2019; 46:D558-D566. [PMID: 29140462 PMCID: PMC5753343 DOI: 10.1093/nar/gkx1063] [Citation(s) in RCA: 101] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Accepted: 10/19/2017] [Indexed: 11/21/2022] Open
Abstract
The Library of Integrated Network-based Cellular Signatures (LINCS) program is a national consortium funded by the NIH to generate a diverse and extensive reference library of cell-based perturbation-response signatures, along with novel data analytics tools to improve our understanding of human diseases at the systems level. In contrast to other large-scale data generation efforts, LINCS Data and Signature Generation Centers (DSGCs) employ a wide range of assay technologies cataloging diverse cellular responses. Integration of, and unified access to LINCS data has therefore been particularly challenging. The Big Data to Knowledge (BD2K) LINCS Data Coordination and Integration Center (DCIC) has developed data standards specifications, data processing pipelines, and a suite of end-user software tools to integrate and annotate LINCS-generated data, to make LINCS signatures searchable and usable for different types of users. Here, we describe the LINCS Data Portal (LDP) (http://lincsportal.ccs.miami.edu/), a unified web interface to access datasets generated by the LINCS DSGCs, and its underlying database, LINCS Data Registry (LDR). LINCS data served on the LDP contains extensive metadata and curated annotations. We highlight the features of the LDP user interface that is designed to enable search, browsing, exploration, download and analysis of LINCS data and related curated content.
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Affiliation(s)
- Amar Koleti
- Center for Computational Science, University of Miami, FL, USA.,BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA
| | - Raymond Terryn
- Center for Computational Science, University of Miami, FL, USA.,BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, FL, USA
| | - Vasileios Stathias
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, FL, USA.,Department of Human Genetics and Genomics, Miller School of Medicine, University of Miami, FL, USA
| | - Caty Chung
- Center for Computational Science, University of Miami, FL, USA.,BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA
| | - Daniel J Cooper
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, FL, USA
| | - John P Turner
- Center for Computational Science, University of Miami, FL, USA.,BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, FL, USA
| | - Dušica Vidovic
- Center for Computational Science, University of Miami, FL, USA.,BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, FL, USA
| | - Michele Forlin
- Center for Computational Science, University of Miami, FL, USA.,BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, FL, USA
| | - Tanya T Kelley
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, FL, USA
| | - Alessandro D'Urso
- Center for Computational Science, University of Miami, FL, USA.,BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA
| | - Bryce K Allen
- Center for Computational Science, University of Miami, FL, USA.,BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, FL, USA
| | - Denis Torre
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kathleen M Jagodnik
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lily Wang
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sherry L Jenkins
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christopher Mader
- Center for Computational Science, University of Miami, FL, USA.,BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA
| | - Wen Niu
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Mehdi Fazel
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Naim Mahi
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Marcin Pilarczyk
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Nicholas Clark
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Behrouz Shamsaei
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Jarek Meller
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Juozas Vasiliauskas
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - John Reichard
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Mario Medvedovic
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Avi Ma'ayan
- BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ajay Pillai
- Division of Genome Sciences, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephan C Schürer
- Center for Computational Science, University of Miami, FL, USA.,BD2K LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, University of Miami, University of Cincinnati, New York NY, Miami FL, Cincinnati OH, USA.,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, FL, USA
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22
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Keenan AB, Torre D, Lachmann A, Leong AK, Wojciechowicz ML, Utti V, Jagodnik KM, Kropiwnicki E, Wang Z, Ma’ayan A. ChEA3: transcription factor enrichment analysis by orthogonal omics integration. Nucleic Acids Res 2019; 47:W212-W224. [PMID: 31114921 PMCID: PMC6602523 DOI: 10.1093/nar/gkz446] [Citation(s) in RCA: 418] [Impact Index Per Article: 83.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 05/08/2019] [Accepted: 05/09/2019] [Indexed: 01/12/2023] Open
Abstract
Identifying the transcription factors (TFs) responsible for observed changes in gene expression is an important step in understanding gene regulatory networks. ChIP-X Enrichment Analysis 3 (ChEA3) is a transcription factor enrichment analysis tool that ranks TFs associated with user-submitted gene sets. The ChEA3 background database contains a collection of gene set libraries generated from multiple sources including TF-gene co-expression from RNA-seq studies, TF-target associations from ChIP-seq experiments, and TF-gene co-occurrence computed from crowd-submitted gene lists. Enrichment results from these distinct sources are integrated to generate a composite rank that improves the prediction of the correct upstream TF compared to ranks produced by individual libraries. We compare ChEA3 with existing TF prediction tools and show that ChEA3 performs better. By integrating the ChEA3 libraries, we illuminate general transcription factor properties such as whether the TF behaves as an activator or a repressor. The ChEA3 web-server is available from https://amp.pharm.mssm.edu/ChEA3.
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Affiliation(s)
- Alexandra B Keenan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Denis Torre
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Alexander Lachmann
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Ariel K Leong
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Megan L Wojciechowicz
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Vivian Utti
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Kathleen M Jagodnik
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Eryk Kropiwnicki
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Zichen Wang
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Avi Ma’ayan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
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23
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Torre D, Lachmann A, Ma'ayan A. BioJupies: Automated Generation of Interactive Notebooks for RNA-Seq Data Analysis in the Cloud. Cell Syst 2018; 7:556-561.e3. [PMID: 30447998 PMCID: PMC6265050 DOI: 10.1016/j.cels.2018.10.007] [Citation(s) in RCA: 162] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 09/02/2018] [Accepted: 10/16/2018] [Indexed: 11/29/2022]
Abstract
BioJupies is a web application that enables the automated creation, storage, and deployment of Jupyter Notebooks containing RNA-seq data analyses. Through an intuitive interface, novice users can rapidly generate tailored reports to analyze and visualize their own raw sequencing files, gene expression tables, or fetch data from >9,000 published studies containing >300,000 preprocessed RNA-seq samples. Generated notebooks have the executable code of the entire pipeline, rich narrative text, interactive data visualizations, differential expression, and enrichment analyses. The notebooks are permanently stored in the cloud and made available online through a persistent URL. The notebooks are downloadable, customizable, and can run within a Docker container. By providing an intuitive user interface for notebook generation for RNA-seq data analysis, starting from the raw reads all the way to a complete interactive and reproducible report, BioJupies is a useful resource for experimental and computational biologists. BioJupies is freely available as a web-based application from http://biojupies.cloud.
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Affiliation(s)
- Denis Torre
- Department of Pharmacological Sciences, BD2K-LINCS Data Coordination and Integration Center (DCIC), Mount Sinai Center for Bioinformatics, Knowledge Management Center (KMC) for Illuminating the Druggable Genome (IDG), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Alexander Lachmann
- Department of Pharmacological Sciences, BD2K-LINCS Data Coordination and Integration Center (DCIC), Mount Sinai Center for Bioinformatics, Knowledge Management Center (KMC) for Illuminating the Druggable Genome (IDG), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, BD2K-LINCS Data Coordination and Integration Center (DCIC), Mount Sinai Center for Bioinformatics, Knowledge Management Center (KMC) for Illuminating the Druggable Genome (IDG), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
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24
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Bellazzo A, Di Minin G, Valentino E, Sicari D, Torre D, Marchionni L, Serpi F, Stadler MB, Taverna D, Zuccolotto G, Montagner IM, Rosato A, Tonon F, Zennaro C, Agostinis C, Bulla R, Mano M, Del Sal G, Collavin L. Cell-autonomous and cell non-autonomous downregulation of tumor suppressor DAB2IP by microRNA-149-3p promotes aggressiveness of cancer cells. Cell Death Differ 2018; 25:1224-1238. [PMID: 29568059 PMCID: PMC6030048 DOI: 10.1038/s41418-018-0088-5] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Revised: 01/11/2018] [Accepted: 02/13/2018] [Indexed: 01/03/2023] Open
Abstract
The tumor suppressor DAB2IP contributes to modulate the network of information established between cancer cells and tumor microenvironment. Epigenetic and post-transcriptional inactivation of this protein is commonly observed in multiple human malignancies, and can potentially favor progression of tumors driven by a variety of genetic mutations. Performing a high-throughput screening of a large collection of human microRNA mimics, we identified miR-149-3p as a negative post-transcriptional modulator of DAB2IP. By efficiently downregulating DAB2IP, this miRNA enhances cancer cell motility and invasiveness, facilitating activation of NF-kB signaling and promoting expression of pro-inflammatory and pro-angiogenic factors. In addition, we found that miR-149-3p secreted by prostate cancer cells induces DAB2IP downregulation in recipient vascular endothelial cells, stimulating their proliferation and motility, thus potentially remodeling the tumor microenvironment. Finally, we found that inhibition of endogenous miR-149-3p restores DAB2IP activity and efficiently reduces tumor growth and dissemination of malignant cells. These observations suggest that miR-149-3p can promote cancer progression via coordinated inhibition of DAB2IP in tumor cells and in stromal cells.
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Affiliation(s)
- Arianna Bellazzo
- National Laboratory CIB (LNCIB), AREA Science Park, 34149, Trieste, Italy
| | - Giulio Di Minin
- Institute of Molecular Health Sciences, Swiss Federal Institute of Technology (ETH) Hönggerberg, 8093, Zurich, Switzerland
| | - Elena Valentino
- National Laboratory CIB (LNCIB), AREA Science Park, 34149, Trieste, Italy
- Department of Life Sciences, University of Trieste, 34127, Trieste, Italy
| | - Daria Sicari
- National Laboratory CIB (LNCIB), AREA Science Park, 34149, Trieste, Italy
- Department of Life Sciences, University of Trieste, 34127, Trieste, Italy
| | - Denis Torre
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, New York, NY, 10029, USA
| | - Luigi Marchionni
- Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD, 21205, USA
| | - Federica Serpi
- National Laboratory CIB (LNCIB), AREA Science Park, 34149, Trieste, Italy
| | - Michael B Stadler
- Friedrich Miescher Institute for Biomedical Research, Switzerland and Swiss Institute of Bioinformatics, 4058, Basel, Switzerland
| | - Daniela Taverna
- Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126, Torino, Italy
| | - Gaia Zuccolotto
- Department of Surgery Oncology and Gastroenterology, University of Padova, 35128, Padova, Italy
| | | | - Antonio Rosato
- Department of Surgery Oncology and Gastroenterology, University of Padova, 35128, Padova, Italy
- Istituto Oncologico Veneto IOV-IRCCS, 35128, Padova, Italy
| | - Federica Tonon
- Department of Medical Surgical and Health Sciences, University of Trieste, 34149, Trieste, Italy
| | - Cristina Zennaro
- Department of Medical Surgical and Health Sciences, University of Trieste, 34149, Trieste, Italy
| | - Chiara Agostinis
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137, Trieste, Italy
| | - Roberta Bulla
- Department of Life Sciences, University of Trieste, 34127, Trieste, Italy
| | - Miguel Mano
- Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504, Coimbra, Portugal
- International Centre for Genetic Engineering and Biotechnology (ICGEB), 34149, Trieste, Italy
| | - Giannino Del Sal
- National Laboratory CIB (LNCIB), AREA Science Park, 34149, Trieste, Italy.
- Department of Life Sciences, University of Trieste, 34127, Trieste, Italy.
| | - Licio Collavin
- National Laboratory CIB (LNCIB), AREA Science Park, 34149, Trieste, Italy.
- Department of Life Sciences, University of Trieste, 34127, Trieste, Italy.
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Lachmann A, Torre D, Keenan AB, Jagodnik KM, Lee HJ, Wang L, Silverstein MC, Ma'ayan A. Massive mining of publicly available RNA-seq data from human and mouse. Nat Commun 2018; 9:1366. [PMID: 29636450 PMCID: PMC5893633 DOI: 10.1038/s41467-018-03751-6] [Citation(s) in RCA: 358] [Impact Index Per Article: 59.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2018] [Accepted: 03/08/2018] [Indexed: 02/06/2023] Open
Abstract
RNA sequencing (RNA-seq) is the leading technology for genome-wide transcript quantification. However, publicly available RNA-seq data is currently provided mostly in raw form, a significant barrier for global and integrative retrospective analyses. ARCHS4 is a web resource that makes the majority of published RNA-seq data from human and mouse available at the gene and transcript levels. For developing ARCHS4, available FASTQ files from RNA-seq experiments from the Gene Expression Omnibus (GEO) were aligned using a cloud-based infrastructure. In total 187,946 samples are accessible through ARCHS4 with 103,083 mouse and 84,863 human. Additionally, the ARCHS4 web interface provides intuitive exploration of the processed data through querying tools, interactive visualization, and gene pages that provide average expression across cell lines and tissues, top co-expressed genes for each gene, and predicted biological functions and protein-protein interactions for each gene based on prior knowledge combined with co-expression.
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Affiliation(s)
- Alexander Lachmann
- Department of Pharmacological Sciences; Mount Sinai Center for Bioinformatics; Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC); Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY, 10029, USA
| | - Denis Torre
- Department of Pharmacological Sciences; Mount Sinai Center for Bioinformatics; Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC); Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY, 10029, USA
| | - Alexandra B Keenan
- Department of Pharmacological Sciences; Mount Sinai Center for Bioinformatics; Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC); Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY, 10029, USA
| | - Kathleen M Jagodnik
- Department of Pharmacological Sciences; Mount Sinai Center for Bioinformatics; Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC); Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY, 10029, USA
| | - Hoyjin J Lee
- Department of Pharmacological Sciences; Mount Sinai Center for Bioinformatics; Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC); Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY, 10029, USA
| | - Lily Wang
- Department of Pharmacological Sciences; Mount Sinai Center for Bioinformatics; Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC); Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY, 10029, USA
| | - Moshe C Silverstein
- Department of Pharmacological Sciences; Mount Sinai Center for Bioinformatics; Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC); Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY, 10029, USA
| | - Avi Ma'ayan
- Department of Pharmacological Sciences; Mount Sinai Center for Bioinformatics; Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC); Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY, 10029, USA.
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Torre D, Krawczuk P, Jagodnik KM, Lachmann A, Wang Z, Wang L, Kuleshov MV, Ma’ayan A. Datasets2Tools, repository and search engine for bioinformatics datasets, tools and canned analyses. Sci Data 2018; 5:180023. [PMID: 29485625 PMCID: PMC5827688 DOI: 10.1038/sdata.2018.23] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 01/19/2018] [Indexed: 01/22/2023] Open
Abstract
Biomedical data repositories such as the Gene Expression Omnibus (GEO) enable the search and discovery of relevant biomedical digital data objects. Similarly, resources such as OMICtools, index bioinformatics tools that can extract knowledge from these digital data objects. However, systematic access to pre-generated 'canned' analyses applied by bioinformatics tools to biomedical digital data objects is currently not available. Datasets2Tools is a repository indexing 31,473 canned bioinformatics analyses applied to 6,431 datasets. The Datasets2Tools repository also contains the indexing of 4,901 published bioinformatics software tools, and all the analyzed datasets. Datasets2Tools enables users to rapidly find datasets, tools, and canned analyses through an intuitive web interface, a Google Chrome extension, and an API. Furthermore, Datasets2Tools provides a platform for contributing canned analyses, datasets, and tools, as well as evaluating these digital objects according to their compliance with the findable, accessible, interoperable, and reusable (FAIR) principles. By incorporating community engagement, Datasets2Tools promotes sharing of digital resources to stimulate the extraction of knowledge from biomedical research data. Datasets2Tools is freely available from: http://amp.pharm.mssm.edu/datasets2tools.
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Affiliation(s)
- Denis Torre
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, BD2K-LINCS Data Coordination and Integration Center (DCIC), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Patrycja Krawczuk
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, BD2K-LINCS Data Coordination and Integration Center (DCIC), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Kathleen M. Jagodnik
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, BD2K-LINCS Data Coordination and Integration Center (DCIC), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Alexander Lachmann
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, BD2K-LINCS Data Coordination and Integration Center (DCIC), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Zichen Wang
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, BD2K-LINCS Data Coordination and Integration Center (DCIC), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Lily Wang
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, BD2K-LINCS Data Coordination and Integration Center (DCIC), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Maxim V. Kuleshov
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, BD2K-LINCS Data Coordination and Integration Center (DCIC), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Avi Ma’ayan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, BD2K-LINCS Data Coordination and Integration Center (DCIC), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
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27
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Keenan AB, Jenkins SL, Jagodnik KM, Koplev S, He E, Torre D, Wang Z, Dohlman AB, Silverstein MC, Lachmann A, Kuleshov MV, Ma'ayan A, Stathias V, Terryn R, Cooper D, Forlin M, Koleti A, Vidovic D, Chung C, Schürer SC, Vasiliauskas J, Pilarczyk M, Shamsaei B, Fazel M, Ren Y, Niu W, Clark NA, White S, Mahi N, Zhang L, Kouril M, Reichard JF, Sivaganesan S, Medvedovic M, Meller J, Koch RJ, Birtwistle MR, Iyengar R, Sobie EA, Azeloglu EU, Kaye J, Osterloh J, Haston K, Kalra J, Finkbiener S, Li J, Milani P, Adam M, Escalante-Chong R, Sachs K, Lenail A, Ramamoorthy D, Fraenkel E, Daigle G, Hussain U, Coye A, Rothstein J, Sareen D, Ornelas L, Banuelos M, Mandefro B, Ho R, Svendsen CN, Lim RG, Stocksdale J, Casale MS, Thompson TG, Wu J, Thompson LM, Dardov V, Venkatraman V, Matlock A, Van Eyk JE, Jaffe JD, Papanastasiou M, Subramanian A, Golub TR, Erickson SD, Fallahi-Sichani M, Hafner M, Gray NS, Lin JR, Mills CE, Muhlich JL, Niepel M, Shamu CE, Williams EH, Wrobel D, Sorger PK, Heiser LM, Gray JW, Korkola JE, Mills GB, LaBarge M, Feiler HS, Dane MA, Bucher E, Nederlof M, Sudar D, Gross S, Kilburn DF, Smith R, Devlin K, Margolis R, Derr L, Lee A, Pillai A. The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations. Cell Syst 2018; 6:13-24. [PMID: 29199020 PMCID: PMC5799026 DOI: 10.1016/j.cels.2017.11.001] [Citation(s) in RCA: 241] [Impact Index Per Article: 40.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 09/13/2017] [Accepted: 11/01/2017] [Indexed: 12/19/2022]
Abstract
The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. Resources generated by LINCS include experimental and computational methods, visualization tools, molecular and imaging data, and signatures. By assembling an integrated picture of the range of responses of human cells exposed to many perturbations, the LINCS program aims to better understand human disease and to advance the development of new therapies. Perturbations under study include drugs, genetic perturbations, tissue micro-environments, antibodies, and disease-causing mutations. Responses to perturbations are measured by transcript profiling, mass spectrometry, cell imaging, and biochemical methods, among other assays. The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders. This Perspective describes LINCS technologies, datasets, tools, and approaches to data accessibility and reusability.
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Affiliation(s)
- Alexandra B Keenan
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sherry L Jenkins
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kathleen M Jagodnik
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Simon Koplev
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Edward He
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Denis Torre
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Zichen Wang
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anders B Dohlman
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Moshe C Silverstein
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alexander Lachmann
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maxim V Kuleshov
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Avi Ma'ayan
- BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Vasileios Stathias
- BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
| | - Raymond Terryn
- BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
| | - Daniel Cooper
- BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
| | - Michele Forlin
- BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
| | - Amar Koleti
- BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
| | - Dusica Vidovic
- BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
| | - Caty Chung
- BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
| | - Stephan C Schürer
- BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
| | - Jouzas Vasiliauskas
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Marcin Pilarczyk
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Behrouz Shamsaei
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Mehdi Fazel
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Yan Ren
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Wen Niu
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Nicholas A Clark
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Shana White
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Naim Mahi
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Lixia Zhang
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Michal Kouril
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - John F Reichard
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Siva Sivaganesan
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Mario Medvedovic
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Jaroslaw Meller
- BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
| | - Rick J Koch
- DToxS, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Marc R Birtwistle
- DToxS, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ravi Iyengar
- DToxS, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eric A Sobie
- DToxS, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Evren U Azeloglu
- DToxS, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Julia Kaye
- NeuroLINCS, Gladstone Institute of Neurological Disease and the Departments of Neurology and Physiology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Jeannette Osterloh
- NeuroLINCS, Gladstone Institute of Neurological Disease and the Departments of Neurology and Physiology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Kelly Haston
- NeuroLINCS, Gladstone Institute of Neurological Disease and the Departments of Neurology and Physiology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Jaslin Kalra
- NeuroLINCS, Gladstone Institute of Neurological Disease and the Departments of Neurology and Physiology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Steve Finkbiener
- NeuroLINCS, Gladstone Institute of Neurological Disease and the Departments of Neurology and Physiology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Jonathan Li
- NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
| | - Pamela Milani
- NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
| | - Miriam Adam
- NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
| | | | - Karen Sachs
- NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
| | - Alex Lenail
- NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
| | - Divya Ramamoorthy
- NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
| | - Ernest Fraenkel
- NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
| | - Gavin Daigle
- NeuroLINCS, Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Uzma Hussain
- NeuroLINCS, Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Alyssa Coye
- NeuroLINCS, Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Jeffrey Rothstein
- NeuroLINCS, Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Dhruv Sareen
- NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Loren Ornelas
- NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Maria Banuelos
- NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Berhan Mandefro
- NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ritchie Ho
- NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Clive N Svendsen
- NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ryan G Lim
- NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
| | - Jennifer Stocksdale
- NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
| | - Malcolm S Casale
- NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
| | - Terri G Thompson
- NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
| | - Jie Wu
- NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
| | - Leslie M Thompson
- NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
| | - Victoria Dardov
- NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | | | - Andrea Matlock
- NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | | | - Jacob D Jaffe
- LINCS PCCSE, The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | | | - Aravind Subramanian
- LINCS Center for Transcriptomics, The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Todd R Golub
- LINCS Center for Transcriptomics, The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Dana-Farber Cancer Institute, Boston, MA 02215, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Sean D Erickson
- HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
| | | | - Marc Hafner
- HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
| | | | - Jia-Ren Lin
- HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
| | - Caitlin E Mills
- HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
| | | | - Mario Niepel
- HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
| | | | | | - David Wrobel
- HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
| | - Peter K Sorger
- HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
| | - Laura M Heiser
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Joe W Gray
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - James E Korkola
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Gordon B Mills
- MEP-LINCS Center, Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mark LaBarge
- MEP-LINCS Center, Department of Population Sciences, Beckman Research Institute at City of Hope, Duarte, CA 91011, USA; MEP-LINCS Center, Center for Cancer Biomarkers Research, University of Bergen, Bergen 5009, Norway
| | - Heidi S Feiler
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Mark A Dane
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Elmar Bucher
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Michel Nederlof
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA; MEP-LINCS Center, Quantitative Imaging Systems LLC, Portland, OR 97239, USA
| | - Damir Sudar
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA; MEP-LINCS Center, Quantitative Imaging Systems LLC, Portland, OR 97239, USA
| | - Sean Gross
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - David F Kilburn
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rebecca Smith
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Kaylyn Devlin
- MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
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28
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Abstract
The AMEE meeting is unique among the medical education conferences in that it is truly international. Educational research presented at the 2009 AMEE Meeting was both diverse and robust. In this article, we will present an overview of educational research from the meeting. We will begin with outlining our methods for the selection and categorization of themes, discuss some highpoints from some of the respective themes, and finally from the conference overall.
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29
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Pitetti JL, Torre D, Conne B, Papaioannou MD, Cederroth CR, Xuan S, Kahn R, Parada LF, Vassalli JD, Efstratiadis A, Nef S. Insulin receptor and IGF1R are not required for oocyte growth, differentiation, and maturation in mice. Sex Dev 2009; 3:264-72. [PMID: 19851056 DOI: 10.1159/000252813] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2009] [Accepted: 06/25/2009] [Indexed: 11/19/2022] Open
Abstract
In mammals, insulin and insulin-like growth factors (IGFs: IGF1 and IGF2) act through 2 structurally related receptors, the insulin receptor (INSR) and the type 1 IGF receptor (IGF1R), both of which are expressed in developing oocytes. IGF1 plays an important role in female reproduction, and female Igf1 knockout mice fail to ovulate and are infertile. On the other hand, little is known about the in vivo role of the insulin signaling pathway in oocytes during follicular development, although exposure to insulin or IGF1 in vitro improves oocyte maturation. To further address the significance of insulin/IGF signaling, we used conditional mutant mice and ablated the function of the genes encoding INSR, IGF1R, or both receptors specifically in developing mouse oocytes. Our genetic evidence showed unexpectedly that the female reproductive functions are not affected when Insr, Igf1r or both Insr;Igf1r are ablated in oocytes, as the female mice are fertile and exhibit normal estrous cyclicity, oocyte development and maturation, parturition frequency, and litter size. In view of these novel observations indicating that the insulin/IGF signaling is not essential in oocytes, the IGF1-dependent female fertility is re-evaluated and discussed.
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Affiliation(s)
- J L Pitetti
- Department of Genetic Medicine and Development, University of Geneva Medical School, University of Geneva, CH-1211 Geneva 4, Switzerland
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Abstract
The authors have reviewed some biological properties of HIV-1 Tat protein, and have also reported some personal data. This viral regulatory protein is endowed with multifunctional activities, acting as an endogenous factor in the infected cells and exogenously, on those uninfected. In particular, Tat-induced proliferation and differentiation of HIV target cells which promotes viral infection, is discussed in this review. However, exogenous Tat protein can sometimes also produce, directly or indirectly, damaging effects in different organs and host systems, such as myocardium, kidney, liver and central nervous system (CNS). For example some data also demonstrate an increase in the apoptotic index induced by Tat at various levels, including the immune system. The effective role of HIV-1 Tat protein in promoting viral replication and its high immunogenicity suggest useful employment of this protein for therapeutic or preventive vaccine preparations.
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Affiliation(s)
- A Pugliese
- Department of Medical and Surgical Sciences, Section of Clinical Microbiology of Turin University, Amedeo di Savoia Hospital, Italy.
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Abstract
In the last 10 years, interesting results have been reported concerning the impact of highly active antiretroviral therapy (HAART) on the changing pattern of organ‐specific manifestations of HIV‐1 infection. There has been a clear step‐wise reduction in the incidence of several opportunistic infections (OIs), particularly Pneumocystis carinii pneumonia, whereas a nonsignificant reduction in incidence has been observed for other organ‐specific diseases, including invasive cervical cancer and Hodgkin disease. In addition, several organ‐specific manifestations, including HIV‐associated nephropathy, wasting syndrome and cardiomiopathy, are a direct consequence of damage by HIV‐1, and so HAART may have a therapeutic effect in improving or preventing these manifestations. Finally, the introduction of HAART has seen the emergence of several complications, termed immune reconstitution inflammatory syndrome, which includes OIs such as cytomegalovirus vitritis, Mycobacterium avium complex lymphadenitis, paradoxical responses to treatment for tuberculosis, and exacerbation of cryptococcosis. Because not all HIV‐1 organ‐specific manifestations are decreasing in the HAART era, this review will analyse the influence of HAART on several organ‐specific manifestations, and in particular OIs related to several organs, cerebral disorders and HIV‐1‐related neoplasia.
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Affiliation(s)
- D Torre
- Department of Infectious Diseases, General Hospital and Macchi Foundation, Varese, Italy.
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Abstract
Manifestations of cardiovascular system involvement are not uncommon complications of HIV infection, especially in AIDS patients. However, the frequency of these manifestations is influenced by different variables including: survival prolongation in HIV-infected patients, because of advances in antiretroviral treatment; improvement of immunodepression and reduction in the occurrence of opportunistic infections; adverse effects of some drugs. At present, on the whole cardiovascular complications that are HIV correlated in the western world, including Italy, occur less frequently than in the past. However complications associated with alterations in lipometabolism prevail because they can be promoted by some protease inhibitors in predisposed subjects. The most frequently reported questions and a careful analysis of recent data in the medical literature regarding the most common HIV-correlated cardiovascular complications are discussed in this review.
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Affiliation(s)
- A Pugliese
- Department of Medical and Surgical Sciences, Section of Clinical Microbiology of Turin University, Amedeo di Savoia Hospital, Turin, Italy.
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Pugliese A, Andronico L, Gennero L, Pagliano G, Gallo G, Torre D. Cervico-vaginal dysplasia--papillomavirus-induced and HIV-1 infection: role of correlated markers for prognostic evaluation. Cell Biochem Funct 2002; 20:233-6. [PMID: 12125100 DOI: 10.1002/cbf.950] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Sexually-transmitted diseases (STD) can facilitate the progression of HIV-1 infection. Among them, as we have previously demonstrated, cervico-vaginal dysplasia-papillomavirus (HPV)-induced, together with HSV-2 co-infection, seems to be correlated with a more evident immunodepression in HIV-positive women, compared with other sexually transmitted diseases. Here we have analysed some of the main correlated markers of HIV-1 infection progression: CD4 + T lymphocyte concentration, CD4 +/CD8 + T cells ratio, HIV-1 RNA loads and haemoglobin (Hb) concentration in 30 HIV-1 positive women co-infected with HPV, and suffering from cervico-vaginal dysplasia, in different stages. In particular, we noticed a positive correlation, evaluated by Spearman's test, between the degree of progression of dysplastic stages (CIN1 --> 3) until invasive carcinoma (IC) and HIV-1 RNA loads (C(s) = +0.78; p < 0.001), and in contrast, a negative correlation between the same stages of progression and respectively CD4 + T cell concentration (C(s) = -0.54; p = 0.01), ratio (C(s) = - 0.63; p = 0.002) and Hb concentration (C(s) = -0.85; p < 0.001). In conclusion, it is important to underline that low levels of Hb generally paralleled the degree of immunodepression. In fact CD4 + T cell levels and ratio positively correlated with Hb concentrations respectively, with C(s) = + 0.83; p < 0.001 and C(s) = + 0.90; p < 0.001. Finally, the most efficacious antiretroviral combined therapy (HAART = Highly Active Antiretroviral Therapy) can improve the above described laboratory parameters in HIV-1/HPV co-infected women and seems to prevent the progression of CIN1 to the following stages of the dysplastic disease.
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Affiliation(s)
- A Pugliese
- Department of Medical and Surgical Sciences, Section of Clinical Microbiology of Turin University, Amedeo di Savoia Hospital, Torino, Italy.
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Pugliese A, Gennero L, Pescarmona GP, Beccattini M, Morra E, Orofino G, Torre D. Serum citrate levels, haptoglobin haplotypes and transferrin receptor (CD71) in patients with HIV-1 infection. Infection 2002; 30:86-9. [PMID: 12018475 DOI: 10.1007/s15010-002-2088-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
BACKGROUND The progression of HIV-1 infection towards its more advanced stages is accompanied by changes in iron metabolism and increased body iron stores. PATIENTS AND METHODS Given the ability of HIV to alter iron metabolism, we studied the principal (transferrin system) and alternative (citrate system) iron pathways in a group of 65 HIV-infected patients (symptomatic stage B1-B3) and in a group of 36 healthy seronegative individuals. We determined serum citrate levels, haptoglobin (Hp) haplotypes, expression of transferrin receptor (CD71) on cell lines infected with HIV-1 as well as iron markers including blood iron, transferrin and ferritin. RESULTS Our data showed decreased serum citrate levels in the HIV-infected patients compared to controls (92.9 +/- 22.4 microM/l vs 126.2 +/- 29.2 microM/L; p < 0.01). In particular, the serum citrate levels negatively correlated with HIV-1 RNA copy number (mean: 2.53 +/- 1.88 x 10(5)/ml, r(s) = 0.70, p < 0.01) and positively correlated with CD4+ T-lymphocyte count (mean: 241 +/- 168/ml, r(s) = 0.64, p > 0.05). Accordingly, blood iron, transferrin and red cell concentrations were lower in HIV-infected patients compared to the controls, whereas serum ferritin levels were higher in HIV-infected patients. Moreover, the Hp haplotype distribution showed significant differences only in the group of HIV-infected patients (p = 0.02; chi2 test). CONCLUSION Our results show that iron metabolism is altered in patients with HIV-1 infection. The alternative pathway (citrate system) is particularly affected, since when citrate levels are low, both aconitase activity and HIV-1 replication need iron.
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Affiliation(s)
- A Pugliese
- Dept of Medical Surgery, University of Turin, Italy
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Torre D, Tambini R, Cadario F, Barbarini G, Moroni M, Basilico C. Evolution of coinfection with human immunodeficiency virus and hepatitis C virus in patients treated with highly active antiretroviral therapy. Clin Infect Dis 2001; 33:1579-85. [PMID: 11588701 DOI: 10.1086/322611] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2000] [Revised: 01/08/2001] [Indexed: 11/03/2022] Open
Abstract
A retrospective analysis of data from a cohort of patients coinfected with human immunodeficiency virus (HIV) and hepatitis C virus (HCV) who were treated with highly active antiretroviral therapy (HAART) at 3 infectious diseases units in northern Italy was performed. While the patients were receiving HAART, CD4(+) cell counts significantly increased and HIV RNA serum levels decreased. However, no significant overall changes in alanine aminotransferase (ALT) levels and HCV RNA serum levels were observed. Fifteen (4.6%) of 323 patients died within 3 years of follow-up; death was related to cirrhosis in 5 patients (1.6%). No significant difference was observed between cirrhosis-related mortality and mortality related to other causes. Patients with ALT levels >4 times the normal values at initiation of HAART showed a significant decrease in ALT levels, whereas patients with normal ALT levels at initiation of HAART showed a significant increase over time, suggesting that HAART may have long-term beneficial or detrimental effects, depending on patient characteristics.
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Affiliation(s)
- D Torre
- Division of Infectious Diseases, Regional Hospital, Varese, Italy.
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36
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Perno CF, Cozzi-Lepri A, Balotta C, Forbici F, Violin M, Bertoli A, Facchi G, Pezzotti P, Angarano G, Arici C, Narciso P, Orani A, Raise E, Scalzini A, Poggio A, Ippolito G, Moroni M, Monforte AD, Montroni M, Scalise G, Costantini A, Del Prete MS, Tirelli U, Nasti G, Pastore G, Perulli LM, Suter F, Arici C, Chiodo F, Gritti FM, Colangeli V, Fiorini C, Guerra L, Carosi G, Cadeo GP, Castelli F, Minardi C, Vangi D, Rizzardini G, Migliorino G, Manconi PE, Piano P, Ferraro T, Cosco L, Pizzigallo E, Ricci F, Vigevani GM, Pusterla L, Carnevale G, Pan A, Viganò P, Mena M, Ghinelli F, Sighinolfi L, Leoncini F, Mazzotta F, Ambu S, Lo Caputo S, Angarano G, Grisorio B, Ferrara S, Grima P, Tundo P, Pagano G, Piersantelli N, Alessandrini A, Piscopo R, Toti M, Chigiotti, Soscia F, Tacconi L, Orani A, Castaldo G, Scasso A, Vincenti A, Scalzini A, Alessi F, Moroni M, Lazzarin A, Cargnel A, Milazzo F, Caggese L, Monforte AD, Melzi S, Delfanti F, Carini B, Adriani B, Garavaglia S, Moioli C, Esposito R, Mussini C, Abrescia N, Chirianni A, Perrella O, Piazza M, De Marco M, Montesarchio V, Manzillo E, Nappa S, Cadrobbi P, Scaggiante R, Colomba A, Abbadesse V, Prestileo T, Mancuso S, Filice G, Minoli L, Savino FAP, Maserati R, Pauluzzi S, Baldelli F, Petrelli E, Ciotti A, Alberici F, Sisti M, Menichetti F, Smorfa A, De Stefano C, La Gala A, Zauli T, Ballardini G, Bonazzi L, Ursitti MA, Ciammarughi R, Giordani S, Ortona L, Dianzani F, Ippolito G, Antinori A, Antonucci G, D'Elia S, Narciso P, Petrosillo N, Vullo V, De Luca A, Del Forno A, Zaccarelli M, De Longis P, Ciardi M, D'Offizi G, Palmieri F, Lichter M, Capobianchi MR, Girardi E, Pezzotti P, Rezza G, Mura MS, Mannazzu M, Caramello P, Sinicco A, Soranzo ML, Quaglia S, Sciandra M, Salassa B, Torre D, Basilico C, Poggio A, Bottari G, Raise E, Pasquinucci S, De Lalla F, Tositti G, Resta F, Chimienti A, Lepri AC, Phillips AN. Impact of Mutations Conferring Reduced Susceptibility to Lamivudine on the Response to Antiretroviral Therapy. Antivir Ther 2001. [DOI: 10.1177/135965350100600306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Carlo Federico Perno
- IRCCS L. Spallanzani, Rome, Italy
- Department Experimental Medicine, University of Rome Tor Vergata, Rome, Italy
| | | | - Claudia Balotta
- Institute of Tropical and Infectious Diseases, University of Milan, Milan, Italy
| | | | - Michela Violin
- Institute of Tropical and Infectious Diseases, University of Milan, Milan, Italy
| | | | - Guido Facchi
- Institute of Tropical and Infectious Diseases, University of Milan, Milan, Italy
| | | | | | - Claudio Arici
- Department of Infectious Diseases, Ospedali Riuniti, Bergamo, Italy
| | | | - Anna Orani
- Department of Infectious Diseases, Lecco Hospital, Lecco, Italy
| | - Enzo Raise
- Department of Infectious Diseases, SS Giovanni e Paolo Hospital, Venice, Italy
| | - Alfredo Scalzini
- Department of Infectious Diseases, Mantova Hospital, Mantova, Italy
| | - Antonio Poggio
- Department of Infectious Diseases, Verbania Hospital, Verbania, Italy
| | | | - Mauro Moroni
- Institute of Tropical and Infectious Diseases, University of Milan, Milan, Italy
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Torre D, Giola M, Speranza F, Matteelli A, Basilico C, Biondi G. Serum levels of interleukin-18 in patients with uncomplicated Plasmodium falciparum malaria. Eur Cytokine Netw 2001; 12:361-4. [PMID: 11399527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
Abstract
Interleukin (IL)-18, a newly discovered cytokine produced primarily by macrophages, has been shown to induce gamma interferon (IFN-gamma) production by natural killer cells, to induce the T helper type 1 response. To further elucidate the role of this cytokine in uncomplicated malaria caused by Plasmodium falciparum, serum levels of IL-18, and gamma interferon (IFN-gamma), determined by an immunoenzymatic assay, were analyzed in 40 adult patients, and in 15 healthy control subjects. A significant increase in serum levels of IL-18 was observed in patients with uncomplicated P. falciparum malaria on admission, whereas serum levels of IFN-gamma tended to increase although not significantly. Serum levels of IL-18 decreased three days later, but still remained significantly high, whereas IFN-gamma levels returned to normal levels compared to the controls. No significant correlation was found between parasitemia and serum levels of IL-18 and IFN-gamma. The increase of IL-18 levels during acute and recovery phases of uncomplicated P. falciparum malaria may reflect a proinflammatory role of IL-18 in these patients. An early and effective immune response regulated by proinflammatory Th1 cytokines, including tumor necrosis factor (TNF), interleukin (IL)-12, and possibly IFN-gamma may limit the progression from uncomplicated malaria to severe and life-threatening complications.
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Affiliation(s)
- D Torre
- Division of Infectious Diseases, Regional Hospital, Viale Borri 57, 21100 Varese, Italy.
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Torre D, Tambini R, Speranza F. Nevirapine or efavirenz combined with two nucleoside reverse transcriptase inhibitors compared to HAART: a meta-analysis of randomized clinical trials. HIV Clin Trials 2001; 2:113-21. [PMID: 11590519 DOI: 10.1310/4kva-u5h3-ubxt-84g7] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE A meta-analysis of randomized controlled trials (RCTs) was performed to evaluate effectiveness and tolerability of triple antiretroviral therapy regimens in HIV-infected patients. METHOD RCTs including the nonnucleoside reverse transcriptase inhibitors (NNRTIs) nevirapine (NVP) or efavirenz (EFV) compared to two nucleoside reverse transcriptase inhibitor (NRTI) regimens and to three-drug regimens based on two NRTIs and one protease inhibitor (PI; highly active antiretroviral therapy [HAART]) were analyzed by Peto's method. RESULTS A significant virological response was observed in patients treated with NNRTIs (odds ratio [OR] 3.6; 95% CI, 2.2-6.0), particularly in naïve patients (OR 7.4; 95% CI, 4.1-13.5). A fair reduction of HIV disease progression was also observed in patients treated with NNRTIs (OR 0.8; 95% CI, 0.6-1.0). Moreover, a significantly lower rate of HIV progression was observed in patients with a CD4 + lymphocyte count below 100/mm(3). Five RCTs comparing two NRTIs and one NNRTI to HAART were subsequently evaluated. A slightly higher rate of virological response was observed with NNRTIs (OR 1.6; 95% CI, 1.1-2.1), whereas no difference was observed concerning progression of HIV disease. CONCLUSION Antiretroviral therapy including NVP or EFV was more effective in reducing viral load than therapy with only two NRTIs and was slightly more effective than HAART. Effectiveness in delaying HIV disease progression was less evident, even though lower rate of progression was observed in patients with advanced HIV infection compared to two NRTIs alone.
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Affiliation(s)
- D Torre
- Department of Infectious Diseases of Varese Regional Hospital, Italy.
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Pugliese A, Saini A, Gennero L, Marietti G, Orofino G, Torre D. Human herpesvirus 8 and associated diseases in a group of 67 human immunodeficiency virus-seropositive individuals. Cancer Detect Prev 2001; 24:258-65. [PMID: 10975288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Human herpesvirus 8 (HHV-8) is involved in the pathogenesis of Kaposi's sarcoma, of B-cells lymphomas, and of Castelman's disease. However, the role of this virus is not yet well known. To investigate the relationship between HHV-8 infection and diseases correlated with human immunodeficiency virus (HIV), we studied a cohort of 67 HIV-seropositive subjects, some of them coinfected with HHV-8. An indirect immunofluorescence test was employed to detect the antibodies against this virus. Positive cases were 31 (46.3%); among the 67 patients, 14 were weakly positive, or + (20.9%); 11 were significantly positive, or ++ (16.4%); and 6 were strongly positive, or (8.9%). These last six patients were the most affected by opportunistic infections, and all were affected by neoplastic pathologies. Moreover, the HHV-8 positive subjects showed hematologic and martial alterations more severe than those in the negative subjects. HHV-8 seroprevalence in HIV-seropositive patients of our cohort was higher (46.3%) than in normal population (0-10%). The presence of disseminated Kaposi's sarcoma and other neoplasms associated with high HIV-RNA levels in HHV-8-positive patients, and particularly in those with strong positivity, corroborates the hypothesis that the virus is correlated with the progression of HIV infection and with its related diseases, especially those that are neoplastic. Last, the severe alterations of iron metabolism found in the patients coinfected with HHV-8 and the negative effect of this virus on the lymphocytic populations can contribute to the unfavorable evolution of HIV infection and also might facilitate tumor development.
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Affiliation(s)
- A Pugliese
- Department of Medical and Surgical Sciences, Amedeo di Savoia Hospital, Torino, Italy
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40
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Torre D, Zeroli C, Martegani R, Pugliese A, Basilico C, Speranza F. Levels of the bcl-2 protein, fibronectin and alpha(5)beta(1) fibronectin receptor in HIV-1-infected patients with Kaposi's sarcoma. Microbes Infect 2000; 2:1831-3. [PMID: 11165927 DOI: 10.1016/s1286-4579(00)01342-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Kaposi's sarcoma (KS) is an angioproliferative disease characterized by proliferation of neoplastic cells (spindle cells) mixed with endothelial and inflammatory cells. In this study we evaluated the role of the adhesive glycoprotein, fibronectin (FN) and its receptor alpha(5)beta(1) (FNR), and the proto-oncogene bcl-2, an anti-apoptotic protein. Significantly decreased serum levels of FN were noted in HIV-1-infected patients with KS, whereas serum levels of FNR were significantly increased in the same patients. Furthermore, increased FNR expression was observed on CD4 cells from KS patients. Serum levels of bcl-2 protein were significantly decreased in asymptomatic seropositive patients, whereas HIV-1-infected patients with KS showed increased serum levels of bcl-2. These results provide further information about interaction between integrins and the extracellular matrix and bcl-2 protein that can support cell survival either of neoplastic cells or endothelial and inflammatory cells.
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Affiliation(s)
- D Torre
- Division of Infectious Diseases, Regional Hospital, Viale Borri 57, 21100, Varese, Italy.
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Abstract
Candida albicans virulence is in part mediated by fibronectin (FN) interaction. We compared the adherence level to FN (using Becton Dickinson FN-coated plates) of several strains of yeast isolated from HIV-1 infected or uninfected subjects affected by candidiasis (30 strains from HIV+ subjects and 18 from HIV- subjects). More adhesive strains were found in HIV+ patients than in HIV- subjects. In particular a mean increase of 120 per cent as regards the total number of adhesive cells and 230 per cent as regards the adhesive cells producing germ tubes was detected in the former group of strains as compared to the latter ( p < 0.001 in both cases). The enhancement of FN expression induced by HIV-1 infection, as we have previously demonstrated, can increase interest in the adherence to FN of C. albicans strains isolated from AIDS-affected patients. Moreover, we also underline the important role played by HIV Nef protein in increasing the C. albicans aggressiveness. In fact a significant inhibitory effect of Nef on the phagocytosis of this yeast by macrophages has been demonstrated and the oxidative processes of these cells seem to be down-regulated by this protein.
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Affiliation(s)
- A Pugliese
- Department of Medical and Surgical Sciences, Section of Infectious Diseases, Amedeo di Savoia, Hospital, University of Turin, Turin, Italy.
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Torre D, Speranza F, Martegani R, Pugliese A, Castelli F, Basilico C, Biondi G. Circulating levels of IL-18 in adult and paediatric patients with HIV-1 infection. AIDS 2000; 14:2211-2. [PMID: 11061668 DOI: 10.1097/00002030-200009290-00023] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Pugliese A, Torre D, Cantamessa C, Saini A, Pes M, Savarino A. Multifunctional activity of recombinant p14 on lymphoid cell cultures. Cancer Detect Prev 2000; 24:46-52. [PMID: 10757122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Some effects of recombinant p14, a protein encoded by the tat gene of immunodeficiency virus type 1 (HIV-1), were investigated on T lymphocytic cell cultures. In particular, we detected p14 adsorption to cells, the rate of cell replication, the expression of fibronectin (FN) and its receptor (FNR) and of cell surface CD4 antigen in HIV-1-infected or uninfected MT-4 and H9 cells, treated with p14. Moreover, we evaluated the proportion of apoptotic cells in uninfected and chronically infected H9 cells in the presence of p14 and the modulation of interferon (IFN) production induced by p14 in PBMC of healthy subjects. The results obtained demonstrate that p14 exerts multifunctional activities on HIV-1 infected and uninfected cells. In particular, this protein interacts in a specific manner with cell surface, especially with that of infected cells, and enhances the expression of FN and FNR but not that of the CD4 lymphocyte antigen. Moreover, p14 increases cell replication, IFN production and can exert a slight modulation of apoptosis. We also propose a model to explain a possible role in HIV-1 infection of the effects of exogenous p14.
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Affiliation(s)
- A Pugliese
- Department of Medical and Surgical Sciences, University of Turin, Amedeo di Savoia Hospital, Torino, Italy.
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Pugliese A, Isnardi D, Saini A, Scarabelli T, Raddino R, Torre D. Impact of highly active antiretroviral therapy in HIV-positive patients with cardiac involvement. J Infect 2000; 40:282-4. [PMID: 10908024 DOI: 10.1053/jinf.2000.0672] [Citation(s) in RCA: 132] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVES Cardiac involvement is frequently observed in HIV-infected patients, especially in those in the late stage of the disease. This study was designed to evaluate the impact of highly active antiretroviral therapy (HAART) in patients with cardiac involvement. METHODS A retrospective study of 1042 patients admitted to a Division of Infectious Diseases between 1989 and 1998. During the period 1989-1995, 544 patients were treated with nucleoside reverse transcriptase inhibitors (NRTI), whereas 498 patients were treated with HAART during the period 1996-1998. RESULTS Cardiac involvement, including arrhythmias, pericarditis, ischaemia, dilated cardiomyopathy, endocarditis, pulmonary hypertension, and myocarditis were observed in 282 of 544 (51.8%) patients treated with NRTI, compared with 93 of 498 (18.6%) patients with HAART (P < 0.0001). CONCLUSIONS HAART has significantly decreased the incidence of cardiac involvement, especially pericarditis, arrhythmias, and dilated cardiomyopathy.
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Affiliation(s)
- A Pugliese
- Department of Medical and Surgical Sciences, Ospedale Amedeo di Savoia, University of Turin, Italy
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45
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Abstract
A meta-analysis of 5 randomized controlled trials (RCT), involving 339 patients with acute infectious mononucleosis (IM) treated with acyclovir (ACV) was performed. ACV was given intravenously in 2 RCTs, which included patients with more severe disease, and orally in the remaining 3 RCTs, which included patients with mild to moderate IM. Both clinical and virological endpoint data available from RCT were evaluated in this study. There was a trend towards clinical effectiveness of ACV treatment, but no statistically significant results were achieved. In contrast, a significant reduction in the rate of oropharyngeal EBV shedding was observed at the end of the therapy (overall OR: 6.62; 95% CI: 3.56-12.29; p < 0.00001). However, no difference in EBV shedding was observed 3 weeks later. There was no significant difference on adverse events in the groups of patients treated with ACV or placebo. In conclusion, clinical data do not support use of ACV for the treatment of acute IM, despite good virological activity of this drug. There is a need for more effective treatment of EBV infection.
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Affiliation(s)
- D Torre
- Department of Infectious Diseases, Regional Hospital, Varese, Italy
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46
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Torre D, Tambini R, Aristodemo S, Gavazzeni G, Goglio A, Cantamessa C, Pugliese A, Biondi G. Anti-inflammatory response of IL-4, IL-10 and TGF-beta in patients with systemic inflammatory response syndrome. Mediators Inflamm 2000; 9:193-5. [PMID: 11132778 PMCID: PMC1781763 DOI: 10.1080/09629350020002912] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
The systemic inflammatory response syndrome (SIRS) is an inflammatory process seen in association with a large number of clinical infective and non-infective conditions. The aim of this study was to investigate the role of anti-inflammatory cytokines such as interleukin-4 (IL-4), interleukin-10 (IL-10), and transforming growth factor-beta (TGF-beta). Serum levels of IL-4, IL-10 and TGF-beta were determined in 45 patients with SIRS: 38 patients had SIRS of infectious origin, whereas seven patients had non-infectious SIRS. Twenty healthy subjects were used as controls. Serum levels of IL-4, IL-10 and TGF-beta were determined by an immunoenzyme assay. A significant increase of IL-4 was observed in these patients at the time of diagnosis and 5 days later. In contrast, serum levels of IL-10 were not increased at the time of diagnosis, but a slight decrease was noted after 5 days. Serum levels of TGF-beta were not increased at time of diagnosis, and a slight increase was observed after 5 days. Serum levels of IL-4 were significantly higher in patients with infectious SIRS at the time of diagnosis, whereas no significant difference between infectious and non-infectious SIRS was noted for serum levels of IL-10 and TGF-beta at the time of diagnosis and 5 days later. During SIRS, serum levels of IL-4 were significantly increased with a significant correlation between IL-4 and mortality, and only levels of IL-4 were significantly increased in the SIRS caused by infectious stimuli.
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Affiliation(s)
- D Torre
- Division of Infectious Diseases, Regional Hospital, Varese, Italy.
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47
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Cattaneo E, Zavattoni M, Baldanti F, Sarasini A, Caselli D, Maccabruni A, Martegani R, Torre D, Revello MG, Gerna G. Diagnostic value of viral culture, polymerase chain reaction and western blot for HIV-1 infection in 218 infants born to HIV-infected mothers and examined at different ages. New Microbiol 1999; 22:281-91. [PMID: 10555197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
In a prospective longitudinal 10-year (1988 to 1998) study, 308 sequential blood samples from 218 infants born to HIV-1 seropositive women were examined by blood culture, polymerase chain reaction (PCR) and Western Blot (WB) for HIV-1 infection within the first month of life (no. 47 specimens), at 2-6 (no. 125), 7-18 (no. 80), and > 18 (no. 56) months after birth. Clinical status at follow-up after the initial diagnosis of HIV infection was also evaluated. Vertically transmitted HIV infection was diagnosed in 45 children (24 children were diagnosed before 18 months of age), whereas 173 were found to be uninfected (transmission rate 20.6%). Sensitivities of viral culture, PCR and WB were 95.2%, 97.8%, 94.4%, and specificities were 99.5%, 97.6% and 20.7%, respectively. Thus, cumulative positive predictive values (PPV) of blood culture, PCR and WB were 97.5%, 88.2% and 23.4%, while negative predictive values (NPV) were 99.0%, 99.6% and 100.0%, respectively. In view of defining the optimal time of sampling for a correct diagnosis of HIV infection, a PPV of 100.0% was achieved earlier by viral culture (2-6 months of age) than by PCR (7-18 months of age). Meanwhile, a NPV of 100% was obtained earlier by PCR (within the first month of age) than by viral culture (2-6 months). These results indicate that a combination test strategy requiring two blood samples analyzed by viral culture and PCR may confirm or exclude HIV perinatal infection within the first 2 months of life rather than being delayed to later times. Clinical follow-up was performed in 35 children, of whom 7 developed a rapidly progressive disease, 23 showed a slow progression, while 5 children are still younger than 5 years and do not present severe clinical symptoms.
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Affiliation(s)
- E Cattaneo
- Servizio di Virologia, IRCCS Policlinico San Matteo, Pavia, Italy
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48
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Torre D, Tambini R, Aristodemo S, Goglio A, Airoldi M. Serum levels of nitrite and nitrate in patients with systemic inflammatory response syndrome. Clin Infect Dis 1999; 29:687-8. [PMID: 10530472 DOI: 10.1086/598659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Affiliation(s)
- D Torre
- Division of Infectious Diseases, Regional Hospital, Varese, Italy.
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49
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Abstract
Nef is a multifunctional gene of HIV which can increase virus replication either directly or by modulating the target cell's metabolism. Nevertheless the role of the exogenous Nef protein is not yet well understood. To investigate it, we studied the effects of the recombinant Nef protein on the expression of some antigens of lymphoid T-cells permissive to HIV-1 replication, and on their proliferation and on apoptosis induction. For this purpose, we utilised MT-4 and H9 T-cell lines. We evaluated FN (fibronectin), CD4 and CD71 expression in uninfected and acutely or chronically infected cells, both untreated and treated with Nef. Our studies showed a significant up-regulation of FN especially in uninfected cells, with a dose of 2.5 microg ml(-1); in contrast, a significant down-modulation of CD4 and CD71 both in uninfected and in acutely or chronically infected cells, was detected. The proliferation of H9 uninfected cells was significantly reduced 24 h after treatment with Nef protein in a dose-dependent manner (ranging from 0.02 to 2.5 microg ml(-1)); likewise a significant inhibition of proliferation of acutely and chronically infected cells was evident with 2.5 microg ml(-1). Moreover, we demonstrated a dose-dependent activity of Nef on inducing apoptosis in H9 uninfected cells and no effects of this protein on modulation of INF alpha and gamma production in peripheral blood mononucleated cells of health donors. Nef appeared to be able to increase the effect of apoptotic stimuli. In conclusion, our data suggest that in our experimental system, the exogenous Nef protein can inhibit cellular synthesis facilitating the metabolic pathway involved in virus replication. In addition it modulates the susceptibility to the HIV-1 infection and finally, that apoptosis induction or enhancement can facilitate the release of neoformed virions.
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Affiliation(s)
- A Pugliese
- Dipartimento di Scienze Medico-Chirurgiche, Sezione di Malattie Infettive, Università di Torino, Italia
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50
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Torre D, Zeroli C, Speranza F, Martegani R, Fiori G, Airoldi M. Serum levels of Fas/Apo-1 and Bcl-2 in children with HIV-1 infection. Scand J Infect Dis 1999; 30:565-8. [PMID: 10225383 DOI: 10.1080/00365549850161106] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Apoptosis of CD4-positive T cells is considered to be involved in depletion of CD4-positive T cells in adult patients with HIV-1 infection. In this report we evaluated serum levels of soluble Fas/Apo-1 and circulating bcl-2 protein (an antiapoptotic molecule) in HIV-1-infected children, and 30 HIV-1 seronegative children. Significantly higher levels of Fas/Apo-1 were observed in 13 HIV-1-infected children than in non-infected control children (p < 0.001), whereas serum levels of bcl-2 were significantly decreased (p=0.002). Seronegative children born to HIV-infected mothers displayed significantly decreased (p < 0.05) serum levels of bcl-2. By contrast, children born to HIV-seronegative mothers and suffering from acute lower respiratory infection had normal levels of bcl-2 and Fas/Apo-1. These data suggest that upregulation of Fas/Apo-1 along with downregulation of bcl-2 protein may contribute to apoptosis in children with HIV-1 infection.
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Affiliation(s)
- D Torre
- Division of Infectious Diseases, Regional Hospital and Foundation Macchi, Varese, Italy
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