1
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Dolgalev I, Zhou H, Murrell N, Le H, Sakellaropoulos T, Coudray N, Zhu K, Vasudevaraja V, Yeaton A, Goparaju C, Li Y, Sulaiman I, Tsay JCJ, Meyn P, Mohamed H, Sydney I, Shiomi T, Ramaswami S, Narula N, Kulicke R, Davis FP, Stransky N, Smolen GA, Cheng WY, Cai J, Punekar S, Velcheti V, Sterman DH, Poirier JT, Neel B, Wong KK, Chiriboga L, Heguy A, Papagiannakopoulos T, Nadorp B, Snuderl M, Segal LN, Moreira AL, Pass HI, Tsirigos A. Inflammation in the tumor-adjacent lung as a predictor of clinical outcome in lung adenocarcinoma. Nat Commun 2023; 14:6764. [PMID: 37938580 PMCID: PMC10632519 DOI: 10.1038/s41467-023-42327-x] [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: 10/28/2022] [Accepted: 10/06/2023] [Indexed: 11/09/2023] Open
Abstract
Approximately 30% of early-stage lung adenocarcinoma patients present with disease progression after successful surgical resection. Despite efforts of mapping the genetic landscape, there has been limited success in discovering predictive biomarkers of disease outcomes. Here we performed a systematic multi-omic assessment of 143 tumors and matched tumor-adjacent, histologically-normal lung tissue with long-term patient follow-up. Through histologic, mutational, and transcriptomic profiling of tumor and adjacent-normal tissue, we identified an inflammatory gene signature in tumor-adjacent tissue as the strongest clinical predictor of disease progression. Single-cell transcriptomic analysis demonstrated the progression-associated inflammatory signature was expressed in both immune and non-immune cells, and cell type-specific profiling in monocytes further improved outcome predictions. Additional analyses of tumor-adjacent transcriptomic data from The Cancer Genome Atlas validated the association of the inflammatory signature with worse outcomes across cancers. Collectively, our study suggests that molecular profiling of tumor-adjacent tissue can identify patients at high risk for disease progression.
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Affiliation(s)
- Igor Dolgalev
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, USA
- Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, USA
| | - Hua Zhou
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, USA
| | - Nina Murrell
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, USA
- Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, USA
| | - Hortense Le
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, USA
| | | | - Nicolas Coudray
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, USA
- Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, USA
- Department of Cell Biology, NYU Grossman School of Medicine, New York, USA
| | - Kelsey Zhu
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | | | - Anna Yeaton
- The Optical Profiling Platform at The Broad Institute of MIT And Harvard, Cambridge, USA
| | - Chandra Goparaju
- Department of Cardiothoracic Surgery, NYU Grossman School of Medicine, New York, USA
| | - Yonghua Li
- Division of Pulmonary, Critical Care and Sleep Medicine, NYU Grossman School of Medicine, New York, USA
| | - Imran Sulaiman
- Division of Pulmonary, Critical Care and Sleep Medicine, NYU Grossman School of Medicine, New York, USA
| | - Jun-Chieh J Tsay
- Division of Pulmonary, Critical Care and Sleep Medicine, NYU Grossman School of Medicine, New York, USA
| | - Peter Meyn
- Genome Technology Center, Office of Science and Research, NYU Grossman School of Medicine, New York, USA
| | - Hussein Mohamed
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Iris Sydney
- Center for Biospecimen Research and Development, NYU Grossman School of Medicine, New York, USA
| | - Tomoe Shiomi
- Center for Biospecimen Research and Development, NYU Grossman School of Medicine, New York, USA
| | - Sitharam Ramaswami
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Genome Technology Center, Office of Science and Research, NYU Grossman School of Medicine, New York, USA
| | - Navneet Narula
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Ruth Kulicke
- Celsius Therapeutics, Cambridge, Massachusetts, USA
| | - Fred P Davis
- Celsius Therapeutics, Cambridge, Massachusetts, USA
| | | | | | - Wei-Yi Cheng
- Pharma Research & Early Development Informatics, Roche Innovation Center New York, New Jersey, USA
| | - James Cai
- Pharma Research & Early Development Informatics, Roche Innovation Center New York, New Jersey, USA
| | - Salman Punekar
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Vamsidhar Velcheti
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Daniel H Sterman
- Division of Pulmonary, Critical Care and Sleep Medicine, NYU Grossman School of Medicine, New York, USA
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - J T Poirier
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Ben Neel
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Kwok-Kin Wong
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Luis Chiriboga
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Adriana Heguy
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Genome Technology Center, Office of Science and Research, NYU Grossman School of Medicine, New York, USA
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Thales Papagiannakopoulos
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Bettina Nadorp
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, USA
- Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, USA
| | - Matija Snuderl
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Leopoldo N Segal
- Division of Pulmonary, Critical Care and Sleep Medicine, NYU Grossman School of Medicine, New York, USA
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Andre L Moreira
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Harvey I Pass
- Department of Cardiothoracic Surgery, NYU Grossman School of Medicine, New York, USA.
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA.
| | - Aristotelis Tsirigos
- Department of Pathology, NYU Grossman School of Medicine, New York, USA.
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, USA.
- Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, USA.
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA.
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2
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Chang SH, Mezzano-Robinson V, Zhou H, Moreira A, Pillai R, Ramaswami S, Loomis C, Heguy A, Tsirigos A, Pass HI. Digital Spatial Profiling to Predict Recurrence in Grade 3 Stage I Lung Adenocarcinoma. J Thorac Cardiovasc Surg 2023:S0022-5223(23)01004-8. [PMID: 37890657 DOI: 10.1016/j.jtcvs.2023.10.047] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/18/2023] [Accepted: 10/21/2023] [Indexed: 10/29/2023]
Abstract
OBJECTIVE Early-stage lung adenocarcinoma (LUAD) is treated with local therapy alone, though patients with grade 3 stage I LUAD a 50% 5-year recurrence rate. Our objective is to determine if analysis of the tumor microenvironment can create a predictive model for recurrence. METHODS Thirty-four grade 3 stage I LUAD patients underwent surgical resection. Digital spatial profiling was utilized to perform genomic (n=31) and proteomic (n=34) analysis of pancytokeratin positive (PanCK+) and negative (PanCK-) tumor cells. K-means clustering was performed on the top 50 differential genes and top 20 differential proteins, with Kaplan-Meier recurrence curves based on patient clustering. External validation of high expression genes was performed with Kaplan-Meier Plotter. RESULTS There were no significant clinicopathologic differences between patients who did (n=14) and did not (n=20) recur. Median time to recurrence was 806 days; median follow up with no recurrence was 2897 days. K-means clustering of PanCK+ genes resulted in a model with a Kaplan-Meier curve with C-index of 0.75. K-means clustering for PanCK- genes was less successful at differentiating recurrence (C-index 0.6). Genes upregulated or downregulated for recurrence were externally validated using available public databases. Proteomic data did not reach statistical significance but did internally validate the genomic data described above. CONCLUSIONS Genomic difference in LUAD may be able to predict risk of recurrence. After further validation, stratifying patients by this risk may help guide who will benefit from adjuvant therapy.
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Affiliation(s)
| | | | - Hua Zhou
- NYU Langone Health, Department of Pathology, Applied Bioinformatics Laboratory
| | - Andre Moreira
- NYU Langone Health, Department of Pathology, Center for Biomarker Research and Development
| | - Raymond Pillai
- NYU Langone Health, Department of Medicine, Division of Pulmonary Critical Care
| | | | - Cynthia Loomis
- NYU Langone Health, Experimental Pathology Research Laboratory
| | - Adriana Heguy
- NYU Langone Health, Department of Pathology, Genome Technology Center
| | | | - Harvey I Pass
- NYU Langone Health, Department of Cardiothoracic Surgery
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3
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Sakellaropoulos T, Do C, Jiang G, Cova G, Meyn P, Dimartino D, Ramaswami S, Heguy A, Tsirigos A, Skok JA. MethNet: a robust approach to identify regulatory hubs and their distal targets in cancer. Res Sq 2023:rs.3.rs-3150386. [PMID: 37577603 PMCID: PMC10418566 DOI: 10.21203/rs.3.rs-3150386/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Aberrations in the capacity of DNA/chromatin modifiers and transcription factors to bind non-coding regions can lead to changes in gene regulation and impact disease phenotypes. However, identifying distal regulatory elements and connecting them with their target genes remains challenging. Here, we present MethNet, a pipeline that integrates large-scale DNA methylation and gene expression data across multiple cancers, to uncover novel cis regulatory elements (CREs) in a 1Mb region around every promoter in the genome. MethNet identifies clusters of highly ranked CREs, referred to as 'hubs', which contribute to the regulation of multiple genes and significantly affect patient survival. Promoter-capture Hi-C confirmed that highly ranked associations involve physical interactions between CREs and their gene targets, and CRISPRi based scRNA Perturb-seq validated the functional impact of CREs. Thus, MethNet-identified CREs represent a valuable resource for unraveling complex mechanisms underlying gene expression, and for prioritizing the verification of predicted non-coding disease hotspots.
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Affiliation(s)
- Theodore Sakellaropoulos
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Catherine Do
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Guimei Jiang
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Giulia Cova
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Peter Meyn
- Genome Technology Center, NYU Grossman School of Medicine, New York, NY, USA
| | - Dacia Dimartino
- Genome Technology Center, NYU Grossman School of Medicine, New York, NY, USA
| | - Sitharam Ramaswami
- Genome Technology Center, NYU Grossman School of Medicine, New York, NY, USA
| | - Adriana Heguy
- Genome Technology Center, NYU Grossman School of Medicine, New York, NY, USA
| | - Aristotelis Tsirigos
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
- Applied Bioinformatics Laboratories, Office of Science & Research, NYU Grossman School of Medicine, New York, NY, USA
| | - Jane A Skok
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
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4
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Vasudevaraja V, Rodriguez JH, Pelorosso C, Zhu K, Buccoliero AM, Onozato M, Mohamed H, Serrano J, Tredwin L, Garonzi M, Forcato C, Zeck B, Ramaswami S, Stafford J, Faustin A, Friedman D, Hidalgo ET, Zagzag D, Skok J, Heguy A, Chiriboga L, Conti V, Guerrini R, Iafrate AJ, Devinsky O, Tsirigos A, Golfinos JG, Snuderl M. Somatic Focal Copy Number Gains of Noncoding Regions of Receptor Tyrosine Kinase Genes in Treatment-Resistant Epilepsy. J Neuropathol Exp Neurol 2021; 80:160-168. [PMID: 33274363 DOI: 10.1093/jnen/nlaa137] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Epilepsy is a heterogenous group of disorders defined by recurrent seizure activity due to abnormal synchronized activity of neurons. A growing number of epilepsy cases are believed to be caused by genetic factors and copy number variants (CNV) contribute to up to 5% of epilepsy cases. However, CNVs in epilepsy are usually large deletions or duplications involving multiple neurodevelopmental genes. In patients who underwent seizure focus resection for treatment-resistant epilepsy, whole genome DNA methylation profiling identified 3 main clusters of which one showed strong association with receptor tyrosine kinase (RTK) genes. We identified focal copy number gains involving epidermal growth factor receptor (EGFR) and PDGFRA loci. The dysplastic neurons of cases with amplifications showed marked overexpression of EGFR and PDGFRA, while glial and endothelial cells were negative. Targeted sequencing of regulatory regions and DNA methylation analysis revealed that only enhancer regions of EGFR and gene promoter of PDGFRA were amplified, while coding regions did not show copy number abnormalities or somatic mutations. Somatic focal copy number gains of noncoding regulatory represent a previously unrecognized genetic driver in epilepsy and a mechanism of abnormal activation of RTK genes. Upregulated RTKs provide a potential avenue for therapy in seizure disorders.
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Affiliation(s)
| | | | - Cristiana Pelorosso
- Paediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Children's Hospital A. Meyer-University of Florence, Florence, Italy
| | | | - Anna Maria Buccoliero
- Pathology Unit, Children's Hospital A. Meyer-University of Florence, Florence, Italy
| | - Maristela Onozato
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | | | | | | | | | | | | | | | - James Stafford
- Department of Neurological Sciences, University of Vermont, Larner College of Medicine, Burlington, Vermont
| | | | | | | | - David Zagzag
- Department of Neurosurgery, NYU Langone Health, New York, New York
| | | | | | | | - Valerio Conti
- Paediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Children's Hospital A. Meyer-University of Florence, Florence, Italy
| | - Renzo Guerrini
- Department of Neurosurgery, NYU Langone Health, New York, New York
| | - A John Iafrate
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Orrin Devinsky
- Department of Neurology.,Comprehensive Epilepsy Center (DF, OD).,Department of Neurosurgery, NYU Langone Health, New York, New York
| | | | - John G Golfinos
- Department of Neurosurgery, NYU Langone Health, New York, New York
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5
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Dellicour S, Hong SL, Vrancken B, Chaillon A, Gill MS, Maurano MT, Ramaswami S, Zappile P, Marier C, Harkins GW, Baele G, Duerr R, Heguy A. Dispersal dynamics of SARS-CoV-2 lineages during the first epidemic wave in New York City. PLoS Pathog 2021; 17:e1009571. [PMID: 34015049 PMCID: PMC8136714 DOI: 10.1371/journal.ppat.1009571] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [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: 01/19/2021] [Accepted: 04/19/2021] [Indexed: 12/31/2022] Open
Abstract
During the first phase of the COVID-19 epidemic, New York City rapidly became the epicenter of the pandemic in the United States. While molecular phylogenetic analyses have previously highlighted multiple introductions and a period of cryptic community transmission within New York City, little is known about the circulation of SARS-CoV-2 within and among its boroughs. We here perform phylogeographic investigations to gain insights into the circulation of viral lineages during the first months of the New York City outbreak. Our analyses describe the dispersal dynamics of viral lineages at the state and city levels, illustrating that peripheral samples likely correspond to distinct dispersal events originating from the main metropolitan city areas. In line with the high prevalence recorded in this area, our results highlight the relatively important role of the borough of Queens as a transmission hub associated with higher local circulation and dispersal of viral lineages toward the surrounding boroughs.
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Affiliation(s)
- Simon Dellicour
- Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
| | - Samuel L. Hong
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
| | - Bram Vrancken
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
| | - Antoine Chaillon
- Division of Infectious Diseases and Global Public Health, University of California San Diego, California, United States of America
| | - Mandev S. Gill
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
| | - Matthew T. Maurano
- Department of Pathology, NYU Grossman School of Medicine, New York, New York, United States of America
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Sitharam Ramaswami
- Genome Technology Center, Office for Science and Research, NYU Langone Health, New York, New York, United States of America
| | - Paul Zappile
- Genome Technology Center, Office for Science and Research, NYU Langone Health, New York, New York, United States of America
| | - Christian Marier
- Genome Technology Center, Office for Science and Research, NYU Langone Health, New York, New York, United States of America
| | - Gordon W. Harkins
- South African Medical Research Council Capacity Development Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
| | - Ralf Duerr
- Department of Pathology, NYU Grossman School of Medicine, New York, New York, United States of America
- Department of Microbiology, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Adriana Heguy
- Department of Pathology, NYU Grossman School of Medicine, New York, New York, United States of America
- Genome Technology Center, Office for Science and Research, NYU Langone Health, New York, New York, United States of America
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6
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Maurano MT, Ramaswami S, Zappile P, Dimartino D, Boytard L, Ribeiro-Dos-Santos AM, Vulpescu NA, Westby G, Shen G, Feng X, Hogan MS, Ragonnet-Cronin M, Geidelberg L, Marier C, Meyn P, Zhang Y, Cadley J, Ordoñez R, Luther R, Huang E, Guzman E, Arguelles-Grande C, Argyropoulos KV, Black M, Serrano A, Call ME, Kim MJ, Belovarac B, Gindin T, Lytle A, Pinnell J, Vougiouklakis T, Chen J, Lin LH, Rapkiewicz A, Raabe V, Samanovic MI, Jour G, Osman I, Aguero-Rosenfeld M, Mulligan MJ, Volz EM, Cotzia P, Snuderl M, Heguy A. Sequencing identifies multiple early introductions of SARS-CoV-2 to the New York City region. Genome Res 2020; 30:1781-1788. [PMID: 33093069 PMCID: PMC7706732 DOI: 10.1101/gr.266676.120] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [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: 08/03/2020] [Accepted: 10/20/2020] [Indexed: 11/30/2022]
Abstract
Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.
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Affiliation(s)
- Matthew T Maurano
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Sitharam Ramaswami
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Paul Zappile
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Dacia Dimartino
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Ludovic Boytard
- Center for Biospecimen Research and Development, NYU Langone Health, New York, New York 10016, USA
| | - André M Ribeiro-Dos-Santos
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Nicholas A Vulpescu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Gael Westby
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Guomiao Shen
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Xiaojun Feng
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Megan S Hogan
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Manon Ragonnet-Cronin
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, United Kingdom
| | - Lily Geidelberg
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, United Kingdom
| | - Christian Marier
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Peter Meyn
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Yutong Zhang
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - John Cadley
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Raquel Ordoñez
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Raven Luther
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Emily Huang
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Emily Guzman
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | | | - Kimon V Argyropoulos
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Margaret Black
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Antonio Serrano
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Melissa E Call
- Department of Dermatology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Min Jae Kim
- Department of Dermatology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Brendan Belovarac
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Tatyana Gindin
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Andrew Lytle
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Jared Pinnell
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | | | - John Chen
- Medical Center IT, NYU Langone Health, New York, New York 10016, USA
| | - Lawrence H Lin
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Amy Rapkiewicz
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Vanessa Raabe
- Division of Infectious Diseases and Immunology, Department of Medicine and NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Marie I Samanovic
- Division of Infectious Diseases and Immunology, Department of Medicine and NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - George Jour
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Dermatology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Iman Osman
- Center for Biospecimen Research and Development, NYU Langone Health, New York, New York 10016, USA.,Department of Dermatology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | | | - Mark J Mulligan
- Division of Infectious Diseases and Immunology, Department of Medicine and NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Erik M Volz
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, United Kingdom
| | - Paolo Cotzia
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA.,Center for Biospecimen Research and Development, NYU Langone Health, New York, New York 10016, USA
| | - Matija Snuderl
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Adriana Heguy
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA.,Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
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7
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Margolis B, Buldo-Licciardi M, Dao F, Ramaswami S, Levine D. CCNE1 amplification among metastatic sites in patients with gynecologic high-grade serous carcinoma. Gynecol Oncol 2020. [DOI: 10.1016/j.ygyno.2020.05.441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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8
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Maurano MT, Ramaswami S, Zappile P, Dimartino D, Boytard L, Ribeiro-dos-Santos AM, Vulpescu NA, Westby G, Shen G, Feng X, Hogan MS, Ragonnet-Cronin M, Geidelberg L, Marier C, Meyn P, Zhang Y, Cadley J, Ordoñez R, Luther R, Huang E, Guzman E, Arguelles-Grande C, Argyropoulos KV, Black M, Serrano A, Call ME, Kim MJ, Belovarac B, Gindin T, Lytle A, Pinnell J, Vougiouklakis T, Chen J, Lin LH, Rapkiewicz A, Raabe V, Samanovic MI, Jour G, Osman I, Aguero-Rosenfeld M, Mulligan MJ, Volz EM, Cotzia P, Snuderl M, Heguy A. Sequencing identifies multiple early introductions of SARS-CoV-2 to the New York City Region. medRxiv 2020:2020.04.15.20064931. [PMID: 32511587 PMCID: PMC7276014 DOI: 10.1101/2020.04.15.20064931] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in Spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.
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Affiliation(s)
- Matthew T. Maurano
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Sitharam Ramaswami
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Paul Zappile
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Dacia Dimartino
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Ludovic Boytard
- Center for Biospecimen Research and Development, NYU Langone Health, New York, USA
| | - André M. Ribeiro-dos-Santos
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Nicholas A. Vulpescu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Gael Westby
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Guomiao Shen
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Xiaojun Feng
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Megan S. Hogan
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Manon Ragonnet-Cronin
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London
| | - Lily Geidelberg
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London
| | - Christian Marier
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Peter Meyn
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Yutong Zhang
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - John Cadley
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Raquel Ordoñez
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Raven Luther
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Emily Huang
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Emily Guzman
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | | | | | - Margaret Black
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Antonio Serrano
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Melissa E. Call
- Department of Dermatology, NYU Grossman School of Medicine, New York, USA
| | - Min Jae Kim
- Department of Dermatology, NYU Grossman School of Medicine, New York, USA
| | - Brendan Belovarac
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Tatyana Gindin
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Andrew Lytle
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Jared Pinnell
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | | | - John Chen
- Medical Center IT, NYU Langone Health, New York, USA
| | - Lawrence H. Lin
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Amy Rapkiewicz
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Vanessa Raabe
- Division of Infectious Diseases and Immunology, Department of Medicine and NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, USA
| | | | - George Jour
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Department of Dermatology, NYU Grossman School of Medicine, New York, USA
| | - Iman Osman
- Center for Biospecimen Research and Development, NYU Langone Health, New York, USA
- Department of Dermatology, NYU Grossman School of Medicine, New York, USA
| | | | - Mark J. Mulligan
- Division of Infectious Diseases and Immunology, Department of Medicine and NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, USA
| | - Erik M. Volz
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London
| | - Paolo Cotzia
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Center for Biospecimen Research and Development, NYU Langone Health, New York, USA
| | - Matija Snuderl
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Adriana Heguy
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
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9
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Steranka JP, Tang Z, Grivainis M, Huang CRL, Payer LM, Rego FOR, Miller TLA, Galante PAF, Ramaswami S, Heguy A, Fenyö D, Boeke JD, Burns KH. Transposon insertion profiling by sequencing (TIPseq) for mapping LINE-1 insertions in the human genome. Mob DNA 2019; 10:8. [PMID: 30899333 PMCID: PMC6407172 DOI: 10.1186/s13100-019-0148-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [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: 10/23/2018] [Accepted: 01/14/2019] [Indexed: 12/14/2022] Open
Abstract
Background Transposable elements make up a significant portion of the human genome. Accurately locating these mobile DNAs is vital to understand their role as a source of structural variation and somatic mutation. To this end, laboratories have developed strategies to selectively amplify or otherwise enrich transposable element insertion sites in genomic DNA. Results Here we describe a technique, Transposon Insertion Profiling by sequencing (TIPseq), to map Long INterspersed Element 1 (LINE-1, L1) retrotransposon insertions in the human genome. This method uses vectorette PCR to amplify species-specific L1 (L1PA1) insertion sites followed by paired-end Illumina sequencing. In addition to providing a step-by-step molecular biology protocol, we offer users a guide to our pipeline for data analysis, TIPseqHunter. Our recent studies in pancreatic and ovarian cancer demonstrate the ability of TIPseq to identify invariant (fixed), polymorphic (inherited variants), as well as somatically-acquired L1 insertions that distinguish cancer genomes from a patient’s constitutional make-up. Conclusions TIPseq provides an approach for amplifying evolutionarily young, active transposable element insertion sites from genomic DNA. Our rationale and variations on this protocol may be useful to those mapping L1 and other mobile elements in complex genomes. Electronic supplementary material The online version of this article (10.1186/s13100-019-0148-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jared P Steranka
- 1Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA.,2McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Zuojian Tang
- 3Department for Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016 USA.,4Institute for Systems Genetics, NYU Langone Health, New York, NY 10016 USA
| | - Mark Grivainis
- 3Department for Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016 USA.,4Institute for Systems Genetics, NYU Langone Health, New York, NY 10016 USA
| | - Cheng Ran Lisa Huang
- 2McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Lindsay M Payer
- 1Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Fernanda O R Rego
- 5Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo, Brazil
| | - Thiago Luiz Araujo Miller
- 5Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo, Brazil.,Departamento de Bioquímica, Instituto de Química, Universidade de São Paul, São Paulo, Brazil
| | - Pedro A F Galante
- 5Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo, Brazil
| | - Sitharam Ramaswami
- 7Genome Technology Center, Division of Advanced Research Technologies, NYU Langone Health, New York, NY USA
| | - Adriana Heguy
- 7Genome Technology Center, Division of Advanced Research Technologies, NYU Langone Health, New York, NY USA
| | - David Fenyö
- 3Department for Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016 USA.,4Institute for Systems Genetics, NYU Langone Health, New York, NY 10016 USA
| | - Jef D Boeke
- 4Institute for Systems Genetics, NYU Langone Health, New York, NY 10016 USA
| | - Kathleen H Burns
- 1Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA.,2McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
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10
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Abstract
The discovery and characterization of the nuclear factor-kappa B (NF-κB) family of transcription factors was predicated on the technical ability to detect protein binding to defined sequences of DNA. Proteins capable of binding to specific sequences of nucleic acid are detected through the use of the electrophoretic mobility shift assay (EMSA), also called a gel shift assay. While newer techniques, including chromatin immunoprecipitation (ChIP), are widely used to assess NF-κB binding to the promoters and enhancers of specific genes, the EMSA remains a powerful experimental tool to quickly test for the presence of NF-κB that is capable of binding DNA. In this way, the EMSA is a useful general readout of the activation state of the NF-κB pathway and an essential tool for the investigation of this important transcription factor family.
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Affiliation(s)
- Sitharam Ramaswami
- Department of Dermatology, College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
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11
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Manna S, Singha B, Phyo SA, Gatla HR, Chang TP, Sanacora S, Ramaswami S, Vancurova I. Proteasome inhibition by bortezomib increases IL-8 expression in androgen-independent prostate cancer cells: the role of IKKα. J Immunol 2013; 191:2837-46. [PMID: 23894194 DOI: 10.4049/jimmunol.1300895] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Expression of the proinflammatory and proangiogenic chemokine IL-8, which is regulated at the transcriptional level by NF-κB, is constitutively increased in androgen-independent metastatic prostate cancer and correlates with poor prognosis. Inhibition of NF-κB-dependent transcription was used as an anticancer strategy for the development of the first clinically approved 26S proteasome inhibitor, bortezomib (BZ). Even though BZ has shown remarkable antitumor activity in hematological malignancies, it has been less effective in prostate cancer and other solid tumors; however, the mechanisms have not been fully understood. In this article, we report that proteasome inhibition by BZ unexpectedly increases IL-8 expression in androgen-independent prostate cancer PC3 and DU145 cells, whereas expression of other NF-κB-regulated genes is inhibited or unchanged. The BZ-increased IL-8 expression is associated with increased in vitro p65 NF-κB DNA binding activity and p65 recruitment to the endogenous IL-8 promoter. In addition, proteasome inhibition induces a nuclear accumulation of IκB kinase (IKK)α, and inhibition of IKKα enzymatic activity significantly attenuates the BZ-induced p65 recruitment to IL-8 promoter and IL-8 expression, demonstrating that the induced IL-8 expression is mediated, at least partly, by IKKα. Together, these data provide the first evidence, to our knowledge, for the gene-specific increase of IL-8 expression by proteasome inhibition in prostate cancer cells and suggest that targeting both IKKα and the proteasome may increase BZ effectiveness in treatment of androgen-independent prostate cancer.
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Affiliation(s)
- Subrata Manna
- Department of Biological Sciences, St. John's University, New York, NY 11439, USA
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12
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Sanacora S, Manna S, Singha B, Chang T, Ramaswami S, Vancurova I. Regulation of NFkB‐dependent Interleukin‐8 in Human Macrophages By Nuclear IkBa and Proteasome Inhibition. FASEB J 2013. [DOI: 10.1096/fasebj.27.1_supplement.550.17] [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: 11/11/2022]
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13
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Sanacora SM, Ramaswami S, Chang TP, Manna S, Singha B, Vancurova I. Interleukin‐8 Regulation by Histone Deacetylase Inhibitors and Bortezomib in Human Macrophages. FASEB J 2012. [DOI: 10.1096/fasebj.26.1_supplement.731.3] [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: 11/11/2022]
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14
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Chang TP, Sanacora S, Manna S, Singha B, Ramaswami S, Vancurova I. Bortezomib Inhibits Expression of Immunosuppressive Cytokines IL‐10 and TGFβ in Cutaneous T Cell Lymphoma. FASEB J 2012. [DOI: 10.1096/fasebj.26.1_supplement.731.4] [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: 11/11/2022]
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15
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Juvekar A, Ramaswami S, Manna S, Chang TP, Zubair A, Vancurova I. Electrophoretic mobility shift assay analysis of NFκB transcriptional regulation by nuclear IκBα. Methods Mol Biol 2012; 809:49-62. [PMID: 22113267 DOI: 10.1007/978-1-61779-376-9_3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [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] [Indexed: 05/31/2023]
Abstract
Transcription factor NFκB is a key regulator of genes involved in immune and inflammatory responses, as well as genes regulating cell proliferation and survival. In addition to many inflammatory disorders, NFκB is constitutively activated in a variety of human cancers and leukemia. Thus, inhibition of NFκB DNA binding activity represents an important therapeutic approach for disorders characterized by high levels of constitutive NFκB activity. We have previously shown that NFκB DNA binding activity is suppressed by the nuclear translocation and accumulation of IκBα, which is induced by inhibition of the 26S proteasome. In this chapter, we describe a protocol that uses small inhibitory RNA (si RNA) interference followed by electrophoretic mobility shift assay (EMSA) to analyze the regulation of NFκB DNA binding by nuclear IκBα induced by the proteasome inhibitor MG132. Using this protocol, we show that in human leukemia Hut-78 cells that exhibit high levels of NFκB DNA binding activity, MG132 induces nuclear translocation and accumulation of IκBα, which then specifically inhibits NFκB DNA binding. This protocol uses human leukemia Hut-78 cells; however, it can be easily adapted for other cells exhibiting high levels of constitutive NFκB DNA binding.
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Affiliation(s)
- Ashish Juvekar
- Department of Biological Sciences, St. John's University, Queens, NY, USA
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16
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Abstract
AbstractWafer curvature measurements of a trilayer (SiO2 / AlSiCu / Si) structure are compared to that predicted by a weighted sum of individual measurements of SiO2 and AISiCu films on Si, and significant differences are found to exist for temperatures above 200°C. A straightforward analysis of the stresses in each layer has been modeled using an extension of a model by Feng et al. which assumes uniform plastic deformation throughout the Al. The modeling results suggest a straightforeward method for determining stresses in deformable thin films that are confined by elastic overlayers. A comparison of the stress-temperature behavior for unpassivated and passivated AISiCu films reveals that the confined films exhibit less plastic deformation and both higher tension and compression during thermal cycling.
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17
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Juvekar A, Manna S, Ramaswami S, Chang TP, Vu HY, Ghosh CC, Celiker MY, Vancurova I. Bortezomib induces nuclear translocation of IκBα resulting in gene-specific suppression of NF-κB--dependent transcription and induction of apoptosis in CTCL. Mol Cancer Res 2011; 9:183-94. [PMID: 21224428 DOI: 10.1158/1541-7786.mcr-10-0368] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Cutaneous T-cell lymphoma (CTCL) is characterized by constitutive activation of nuclear factor κB (NF-κB), which plays a crucial role in the survival of CTCL cells and their resistance to apoptosis. NF-κB activity in CTCL is inhibited by the proteasome inhibitor bortezomib; however, the mechanisms remained unknown. In this study, we investigated mechanisms by which bortezomib suppresses NF-κB activity in CTCL Hut-78 cells. We demonstrate that bortezomib and MG132 suppress NF-κB activity in Hut-78 cells by a novel mechanism that consists of inducing nuclear translocation and accumulation of IκBα (nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha), which then associates with NF-κB p65 and p50 in the nucleus and inhibits NF-κB DNA binding activity. Surprisingly, however, while expression of NF-κB-dependent antiapoptotic genes cIAP1 and cIAP2 is inhibited by bortezomib, expression of Bcl-2 is not suppressed. Chromatin immunoprecipitation indicated that cIAP1 and cIAP2 promoters are occupied by NF-κB p65/50 heterodimers, whereas Bcl-2 promoter is occupied predominantly by p50/50 homodimers. Collectively, our data reveal a novel mechanism of bortezomib function in CTCL and suggest that the inhibition of NF-κB-dependent gene expression by bortezomib is gene specific and depends on the subunit composition of NF-κB dimers recruited to NF-κB-responsive promoters.
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Affiliation(s)
- Ashish Juvekar
- Department of Biological Sciences, St. John's University, 8000 Utopia Parkway, Queens, NY 11439, USA
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18
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Ghosh CC, Ramaswami S, Juvekar A, Vu HY, Galdieri L, Davidson D, Vancurova I. Gene-specific repression of proinflammatory cytokines in stimulated human macrophages by nuclear IκBα. J Immunol 2010; 185:3685-93. [PMID: 20696864 DOI: 10.4049/jimmunol.0902230] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
We have previously shown that increased nuclear accumulation of IkappaBalpha inhibits NF-kappaB activity and induces apoptosis in human leukocytes. In this study, we wanted to explore the possibility that the nucleocytoplasmic distribution of IkappaBalpha can be used as a therapeutic target for the regulation of NF-kappaB-dependent cytokine synthesis. Treatment of LPS-stimulated human U937 macrophages with an inhibitor of chromosome region maintenance 1-dependent nuclear export, leptomycin B, resulted in the increased nuclear accumulation of IkappaBalpha and inhibition of NF-kappaB DNA binding activity, caused by the nuclear IkappaBalpha-p65 NF-kappaB interaction. Surprisingly, however, whereas mRNA expression and cellular release of TNF-alpha, the beta form of pro-IL-1 (IL-1beta), and IL-6 were inhibited by the leptomycin B-induced nuclear IkappaBalpha, IL-8 mRNA expression and cellular release were not significantly affected. Analysis of in vivo recruitment of p65 NF-kappaB to NF-kappaB-regulated promoters by chromatin immunoprecipitation in U937 cells and human PBMCs indicated that although the p65 recruitment to TNF-alpha, IL-1beta, and IL-6 promoters was inhibited by the nuclear IkappaBalpha, p65 recruitment to IL-8 promoter was not repressed. Chromatin immunoprecipitation analyses using IkappaBalpha and S536 phosphospecific p65 NF-kappaB Abs demonstrated that although the newly synthesized IkappaBalpha induced by postinduction repression is recruited to TNF-alpha, IL-1beta, and IL-6 promoters but not to the IL-8 promoter, S536-phosphorylated p65 is recruited to IL-8 promoter, but not to TNF-alpha, IL-1beta, or IL-6 promoters. Together, these data indicate that the inhibition of NF-kappaB-dependent transcription by nuclear IkappaBalpha in LPS-stimulated macrophages is gene specific and depends on the S536 phosphorylation status of the recruited p65 NF-kappaB.
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Affiliation(s)
- Chandra C Ghosh
- Department of Biological Sciences, St. John's University, New York, NY 11439, USA
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19
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Ramaswami S, Ghosh CC, Juvekar AP, Le HD, Soe K, Vancurova I. Role of Acetylation in the NFkB Dependent Transcription of Proinflammatory Cytokines in Stimulated Human Macrophages. FASEB J 2009. [DOI: 10.1096/fasebj.23.1_supplement.700.5] [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: 11/11/2022]
Affiliation(s)
| | | | | | | | - Kevin Soe
- Biological SciencesSt John's UniversityQueensNY
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20
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Vu HY, Juvekar A, Ghosh C, Ramaswami S, Le DH, Vancurova I. Proteasome inhibitors induce apoptosis of prostate cancer cells by inducing nuclear translocation of IkappaBalpha. Arch Biochem Biophys 2008; 475:156-63. [PMID: 18468507 DOI: 10.1016/j.abb.2008.04.026] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2008] [Revised: 04/22/2008] [Accepted: 04/23/2008] [Indexed: 10/22/2022]
Abstract
Proteasome inhibitors are known to suppress the proteasome-mediated degradation of IkappaBalpha in stimulated cells. This results in the cytoplasmic retention of NFkappaB and its reduced nuclear transcriptional activity. In this study, we show that in the metastatic prostate cancer cells, the proteasome inhibitors exhibit a novel, previously unrecognized effect: they increase the cellular levels of IkappaBalpha, which then translocates to the nucleus, associates with the nuclear p65 NFkappaB, thus inhibiting the constitutive NFkappaB DNA binding activity and inducing apoptosis. The proteasome inhibition-induced nuclear translocation of IkappaBalpha is dependent on de novo protein synthesis, occurs also in other cell types, and does not require IkappaBalpha phosphorylation on Ser-32. Since NFkappaB activity is constitutively increased in many human cancers as well as in inflammatory disorders, the proteasome inhibition-induced nuclear translocation of IkappaBalpha could thus provide a new therapeutic strategy aimed at the specific inhibition of NFkappaB activity by the nuclear IkappaBalpha.
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Affiliation(s)
- Hai-Yen Vu
- Department of Biological Sciences, St. John's University, 8000 Utopia Parkway, Queens, NY 11439, USA
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21
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Ghosh CC, Ramaswami S, Vu H, Juvekar AP, Vancurova I. Leptomycin B Inhibits NFκB Activity in Stimulated Monocytic Cells by Increasing Nuclear Accumulation of IkBa. FASEB J 2008. [DOI: 10.1096/fasebj.22.1_supplement.649.2] [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: 11/11/2022]
Affiliation(s)
| | | | - Hai‐Yen Vu
- Biological SciencesSt John's UniversityQueensNY
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22
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Ramaswami S, Ghosh CC, Vu H, Juvekar AP, Vancurova I. Histone Deacetylase Inhibition Augments the Inhibitory Effect of Leptomycin B on Proinflammatory Cytokine Release from Stimulated Human Monocytes. FASEB J 2008. [DOI: 10.1096/fasebj.22.1_supplement.820.3] [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: 11/11/2022]
Affiliation(s)
| | | | - Hai‐Yen Vu
- Biological SciencesSt John's UniversityQueensNY
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Dhoble A, Kulshreshtha B, Ramaswami S, Zumbrunnen D. Mechanical properties of PP-LDPE blends with novel morphologies produced with a continuous chaotic advection blender. POLYMER 2005. [DOI: 10.1016/j.polymer.2005.01.057] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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24
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25
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Ramaswami S, Hartland S, Bourne J. A study of disproportionation effects in semi-batch foams—I. Simulation of evolution of bubble size distribution. Chem Eng Sci 1993. [DOI: 10.1016/0009-2509(93)80130-i] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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26
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Hartland S, Bourne J, Ramaswami S. A study of disproportionation effects in semi-batch foams—II. Comparison between experiment and theory. Chem Eng Sci 1993. [DOI: 10.1016/0009-2509(93)80131-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Bhattacharyya S, Ramaswami S, Ramaswami S. Additions and Corrections-A Study of the Prins Reaction on the Isopropylidene Type Double Bonds. J Org Chem 1965. [DOI: 10.1021/jo01023a605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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