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Lake BB, Menon R, Winfree S, Hu Q, Melo Ferreira R, Kalhor K, Barwinska D, Otto EA, Ferkowicz M, Diep D, Plongthongkum N, Knoten A, Urata S, Mariani LH, Naik AS, Eddy S, Zhang B, Wu Y, Salamon D, Williams JC, Wang X, Balderrama KS, Hoover PJ, Murray E, Marshall JL, Noel T, Vijayan A, Hartman A, Chen F, Waikar SS, Rosas SE, Wilson FP, Palevsky PM, Kiryluk K, Sedor JR, Toto RD, Parikh CR, Kim EH, Satija R, Greka A, Macosko EZ, Kharchenko PV, Gaut JP, Hodgin JB, Eadon MT, Dagher PC, El-Achkar TM, Zhang K, Kretzler M, Jain S. An atlas of healthy and injured cell states and niches in the human kidney. Nature 2023; 619:585-594. [PMID: 37468583 PMCID: PMC10356613 DOI: 10.1038/s41586-023-05769-3] [Citation(s) in RCA: 63] [Impact Index Per Article: 63.0] [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: 07/31/2021] [Accepted: 01/30/2023] [Indexed: 07/21/2023]
Abstract
Understanding kidney disease relies on defining the complexity of cell types and states, their associated molecular profiles and interactions within tissue neighbourhoods1. Here we applied multiple single-cell and single-nucleus assays (>400,000 nuclei or cells) and spatial imaging technologies to a broad spectrum of healthy reference kidneys (45 donors) and diseased kidneys (48 patients). This has provided a high-resolution cellular atlas of 51 main cell types, which include rare and previously undescribed cell populations. The multi-omic approach provides detailed transcriptomic profiles, regulatory factors and spatial localizations spanning the entire kidney. We also define 28 cellular states across nephron segments and interstitium that were altered in kidney injury, encompassing cycling, adaptive (successful or maladaptive repair), transitioning and degenerative states. Molecular signatures permitted the localization of these states within injury neighbourhoods using spatial transcriptomics, while large-scale 3D imaging analysis (around 1.2 million neighbourhoods) provided corresponding linkages to active immune responses. These analyses defined biological pathways that are relevant to injury time-course and niches, including signatures underlying epithelial repair that predicted maladaptive states associated with a decline in kidney function. This integrated multimodal spatial cell atlas of healthy and diseased human kidneys represents a comprehensive benchmark of cellular states, neighbourhoods, outcome-associated signatures and publicly available interactive visualizations.
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Affiliation(s)
- Blue B Lake
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Rajasree Menon
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Seth Winfree
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Qiwen Hu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Ricardo Melo Ferreira
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kian Kalhor
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Daria Barwinska
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Edgar A Otto
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Michael Ferkowicz
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Dinh Diep
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Nongluk Plongthongkum
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Amanda Knoten
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Sarah Urata
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Laura H Mariani
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Abhijit S Naik
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Sean Eddy
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Bo Zhang
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Yan Wu
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Diane Salamon
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - James C Williams
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Xin Wang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | | | - Paul J Hoover
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Evan Murray
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | - Teia Noel
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Anitha Vijayan
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | | | - Fei Chen
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Sushrut S Waikar
- Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Sylvia E Rosas
- Kidney and Hypertension Unit, Joslin Diabetes Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Francis P Wilson
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Paul M Palevsky
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - John R Sedor
- Lerner Research and Glickman Urology and Kidney Institutes, Cleveland Clinic, Cleveland, OH, USA
| | - Robert D Toto
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Chirag R Parikh
- Division of Nephrology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Eric H Kim
- Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
| | | | - Anna Greka
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | - Peter V Kharchenko
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Joseph P Gaut
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Jeffrey B Hodgin
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Michael T Eadon
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Pierre C Dagher
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Tarek M El-Achkar
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Kun Zhang
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA.
| | - Matthias Kretzler
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA.
| | - Sanjay Jain
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA.
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA.
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Marshall JL, Noel T, Wang QS, Chen H, Murray E, Subramanian A, Vernon KA, Bazua-Valenti S, Liguori K, Keller K, Stickels RR, McBean B, Heneghan RM, Weins A, Macosko EZ, Chen F, Greka A. High-resolution Slide-seqV2 spatial transcriptomics enables discovery of disease-specific cell neighborhoods and pathways. iScience 2022; 25:104097. [PMID: 35372810 PMCID: PMC8971939 DOI: 10.1016/j.isci.2022.104097] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/15/2022] [Accepted: 03/11/2022] [Indexed: 12/21/2022] Open
Abstract
High-resolution spatial transcriptomics enables mapping of RNA expression directly from intact tissue sections; however, its utility for the elucidation of disease processes and therapeutically actionable pathways remains unexplored. We applied Slide-seqV2 to mouse and human kidneys, in healthy and distinct disease paradigms. First, we established the feasibility of Slide-seqV2 in tissue from nine distinct human kidneys, which revealed a cell neighborhood centered around a population of LYVE1+ macrophages. Second, in a mouse model of diabetic kidney disease, we detected changes in the cellular organization of the spatially restricted kidney filter and blood-flow-regulating apparatus. Third, in a mouse model of a toxic proteinopathy, we identified previously unknown, disease-specific cell neighborhoods centered around macrophages. In a spatially restricted subpopulation of epithelial cells, we discovered perturbations in 77 genes associated with the unfolded protein response. Our studies illustrate and experimentally validate the utility of Slide-seqV2 for the discovery of disease-specific cell neighborhoods. A cell neighborhood around LYVE1+ macrophages was discovered in human kidneys The blood pressure regulating apparatus was re-organized in a diabetic mouse model Cell neighborhoods around Trem2+ macrophages were found in a model of proteinopathy A 77 gene signature associated with the UPR was defined in a model of proteinopathy
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Noel T, Wang QS, Greka A, Marshall JL. Principles of Spatial Transcriptomics Analysis: A Practical Walk-Through in Kidney Tissue. Front Physiol 2022; 12:809346. [PMID: 35069263 PMCID: PMC8770822 DOI: 10.3389/fphys.2021.809346] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 11/04/2021] [Accepted: 11/26/2021] [Indexed: 12/26/2022] Open
Abstract
Spatial transcriptomic technologies capture genome-wide readouts across biological tissue space. Moreover, recent advances in this technology, including Slide-seqV2, have achieved spatial transcriptomic data collection at a near-single cell resolution. To-date, a repertoire of computational tools has been developed to discern cell type classes given the transcriptomic profiles of tissue coordinates. Upon applying these tools, we can explore the spatial patterns of distinct cell types and characterize how genes are spatially expressed within different cell type contexts. The kidney is one organ whose function relies upon spatially defined structures consisting of distinct cellular makeup. Thus, the application of Slide-seqV2 to kidney tissue has enabled us to elucidate spatially characteristic cellular and genetic profiles at a scale that remains largely unexplored. Here, we review spatial transcriptomic technologies, as well as computational approaches for cell type mapping and spatial cell type and transcriptomic characterizations. We take kidney tissue as an example to demonstrate how the technologies are applied, while considering the nuances of this architecturally complex tissue.
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Affiliation(s)
- Teia Noel
- Kidney Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Qingbo S. Wang
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Program in Bioinformatics and Integrative Genomics, Harvard Medical School, Boston, MA, United States
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, United States
- Department of Statistical Genetics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Anna Greka
- Kidney Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Jamie L. Marshall
- Kidney Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, United States
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4
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Marshall JL, Doughty BR, Subramanian V, Guckelberger P, Wang Q, Chen LM, Rodriques SG, Zhang K, Fulco CP, Nasser J, Grinkevich EJ, Noel T, Mangiameli S, Bergman DT, Greka A, Lander ES, Chen F, Engreitz JM. HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes. Proc Natl Acad Sci U S A 2020; 117:33404-33413. [PMID: 33376219 PMCID: PMC7776864 DOI: 10.1073/pnas.2010738117] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Single-cell quantification of RNAs is important for understanding cellular heterogeneity and gene regulation, yet current approaches suffer from low sensitivity for individual transcripts, limiting their utility for many applications. Here we present Hybridization of Probes to RNA for sequencing (HyPR-seq), a method to sensitively quantify the expression of hundreds of chosen genes in single cells. HyPR-seq involves hybridizing DNA probes to RNA, distributing cells into nanoliter droplets, amplifying the probes with PCR, and sequencing the amplicons to quantify the expression of chosen genes. HyPR-seq achieves high sensitivity for individual transcripts, detects nonpolyadenylated and low-abundance transcripts, and can profile more than 100,000 single cells. We demonstrate how HyPR-seq can profile the effects of CRISPR perturbations in pooled screens, detect time-resolved changes in gene expression via measurements of gene introns, and detect rare transcripts and quantify cell-type frequencies in tissue using low-abundance marker genes. By directing sequencing power to genes of interest and sensitively quantifying individual transcripts, HyPR-seq reduces costs by up to 100-fold compared to whole-transcriptome single-cell RNA-sequencing, making HyPR-seq a powerful method for targeted RNA profiling in single cells.
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Affiliation(s)
| | | | | | - Philine Guckelberger
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Department of Biology, Chemistry, and Pharmacy, Freie Universität Berlin, 14195 Berlin, Germany
| | - Qingbo Wang
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114
- Program in Bioinformatics and Integrative Genomics, Harvard Medical School, Boston, MA 02115
| | - Linlin M Chen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - Samuel G Rodriques
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Kaite Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | | | - Joseph Nasser
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | | | - Teia Noel
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | | | | | - Anna Greka
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115
| | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, MA 02142;
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Fei Chen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142;
| | - Jesse M Engreitz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142;
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305
- Basic Science and Engineering Initiative, Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305
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5
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Foeller ME, Nosrat C, Krystosik A, Noel T, Gérardin P, Cudjoe N, Mapp-Alexander V, Mitchell G, Macpherson C, Waechter R, LaBeaud AD. Chikungunya infection in pregnancy - reassuring maternal and perinatal outcomes: a retrospective observational study. BJOG 2020; 128:1077-1086. [PMID: 33040457 DOI: 10.1111/1471-0528.16562] [Citation(s) in RCA: 4] [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] [Subscribe] [Scholar Register] [Accepted: 09/28/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To evaluate pregnancy and neonatal outcomes, disease severity, and mother-to-child transmission of pregnant women with Chikungunya infection (CHIKV). DESIGN Retrospective observational study. SETTING Grenada. POPULATION Women who gave birth during a Chikungunya outbreak between January 2014 and September 2015 were eligible. METHODS This descriptive study investigated 731 mother-infant pairs who gave birth during a CHIKV outbreak. Women and infants underwent serological testing for CHIKV by ELISA. MAIN OUTCOME MEASURES Primary outcomes: composite pregnancy complication (abruption, vaginal bleeding, preterm labour/cervical incompetence, cesarean delivery for fetal distress/abruption/placental abnormality or delivery for fetal distress) and composite neonatal morbidity. RESULTS Of 416 mother-infant pairs, 150 (36%) had CHIKV during pregnancy, 135 (33%) had never had CHIKV, and 131 (31%) had CHIKV outside of pregnancy. Mean duration of joint pain was shorter among women infected during pregnancy (μ = 898 days, σ = 277 days) compared with infections outside of pregnancy (μ = 1064 days, σ = 244 days) (P < 0.0001). Rates of pregnancy complications (RR = 0.76, P = 0.599), intrapartum complications (RR = 1.50, P = 0.633), and neonatal outcomes were otherwise similar. Possible mother-to-child transmission occurred in two (1.3%) mother-infant pairs and two of eight intrapartum infections (25%). CONCLUSION CHIKV infection during pregnancy may be protective against long-term joint pain sequelae that are often associated with acute CHIKV infection. Infection during pregnancy did not appear to pose a risk for pregnancy complications or neonatal health, but maternal infection just prior to delivery might have increased risk of mother-to-child transmission of CHIKV. TWEETABLE ABSTRACT Chikungunya infection did not increase risk of pregnancy complications or adverse neonatal outcomes, unless infection was just prior to delivery.
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Affiliation(s)
- M E Foeller
- Department of Obstetrics and Gynecology, Stanford University, Stanford, CA, USA
| | - C Nosrat
- Program in Human Biology, Stanford University, Stanford, CA, USA
| | - A Krystosik
- Division of Infectious Disease, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA
| | - T Noel
- Windward Islands Research and Education Foundation, True Blue, Grenada.,St. George's University, St. Georges, Grenada
| | - P Gérardin
- INSERM CIC1410, Centre Hospitalier Universitaire de la Réunion, Saint Pierre, Réunion.,Unité Mixte 134 PIMIT (INSERM 1187, CNRS 9192, IRD 249, Université de La Réunion), Sainte Clotilde, Réunion
| | - N Cudjoe
- Windward Islands Research and Education Foundation, True Blue, Grenada
| | - V Mapp-Alexander
- Windward Islands Research and Education Foundation, True Blue, Grenada.,St. George's University, St. Georges, Grenada
| | - G Mitchell
- Ministry of Health, St. Georges, Grenada
| | - C Macpherson
- Windward Islands Research and Education Foundation, True Blue, Grenada.,St. George's University, St. Georges, Grenada
| | - R Waechter
- Windward Islands Research and Education Foundation, True Blue, Grenada.,St. George's University, St. Georges, Grenada
| | - A D LaBeaud
- Division of Infectious Disease, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA
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Montoya DJ, Andrade P, Silva BJA, Teles RMB, Ma F, Bryson B, Sadanand S, Noel T, Lu J, Sarno E, Arnvig KB, Young D, Lahiri R, Williams DL, Fortune S, Bloom BR, Pellegrini M, Modlin RL. Dual RNA-Seq of Human Leprosy Lesions Identifies Bacterial Determinants Linked to Host Immune Response. Cell Rep 2019; 26:3574-3585.e3. [PMID: 30917313 PMCID: PMC6508871 DOI: 10.1016/j.celrep.2019.02.109] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [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: 06/19/2018] [Revised: 10/05/2018] [Accepted: 02/27/2019] [Indexed: 01/20/2023] Open
Abstract
To understand how the interaction between an intracellular bacterium and the host immune system contributes to outcome at the site of infection, we studied leprosy, a disease that forms a clinical spectrum, in which progressive infection by the intracellular bacterium Mycobacterium leprae is characterized by the production of type I IFNs and antibody production. Dual RNA-seq on patient lesions identifies two independent molecular measures of M. leprae, each of which correlates with distinct aspects of the host immune response. The fraction of bacterial transcripts, reflecting bacterial burden, correlates with a host type I IFN gene signature, known to inhibit antimicrobial responses. Second, the bacterial mRNA:rRNA ratio, reflecting bacterial viability, links bacterial heat shock proteins with the BAFF-BCMA host antibody response pathway. Our findings provide a platform for the interrogation of host and pathogen transcriptomes at the site of infection, allowing insight into mechanisms of inflammation in human disease.
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Affiliation(s)
- Dennis J Montoya
- Department of Molecular, Cell, and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
| | - Priscila Andrade
- Division of Dermatology, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Bruno J A Silva
- Division of Dermatology, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Rosane M B Teles
- Division of Dermatology, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Feiyang Ma
- Department of Molecular, Cell, and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
| | - Bryan Bryson
- Harvard T.H. Chan School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA, USA
| | | | - Teia Noel
- Department of Molecular, Cell, and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
| | - Jing Lu
- Department of Molecular, Cell, and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
| | - Euzenir Sarno
- Department of Mycobacteriosis, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Kristine B Arnvig
- Institute for Structural and Molecular Biology, University College London, London WC1E 6BT, UK
| | - Douglas Young
- National Institute for Medical Research, Mycobacterial Research Division, London NW7 1AA, UK; The Francis Crick Institute, Mill Hill Laboratory, The Ridgeway, Mill Hill, London NW7 1AA, UK
| | - Ramanuj Lahiri
- Health Resources and Services Administration (HRSA), National Hansen's Disease Program (NHDP), Baton Rouge, LA, USA
| | - Diana L Williams
- Health Resources and Services Administration (HRSA), National Hansen's Disease Program (NHDP), Baton Rouge, LA, USA; Department of Pathobiological Sciences, Louisiana State University (LSU), Baton Rouge, LA, USA
| | - Sarah Fortune
- Harvard T.H. Chan School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA, USA
| | - Barry R Bloom
- Harvard T.H. Chan School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA, USA
| | - Matteo Pellegrini
- Department of Molecular, Cell, and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
| | - Robert L Modlin
- Division of Dermatology, David Geffen School of Medicine, Los Angeles, CA, USA.
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7
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Abstract
The engineering of microorganisms to monitor environmental chemicals or to produce desirable bioproducts is often reliant on the availability of a suitable biosensor. However, the conversion of a ligand-binding protein into a biosensor has been difficult. Here, we report a general strategy for generating biosensors in Escherichia coli that act by ligand-dependent stabilization of a transcriptional activator and mediate ligand concentration-dependent expression of a reporter gene. We constructed such a biosensor by using the lac repressor, LacI, as the ligand-binding domain and fusing it to the Zif268 DNA-binding domain and RNA polymerase omega subunit transcription-activating domain. Using error-prone PCR mutagenesis of lacI and selection, we identified a biosensor with multiple mutations, only one of which was essential for biosensor behavior. By tuning parameters of the assay, we obtained a response dependent on the ligand isopropyl β-d-1-thiogalactopyranoside (IPTG) of up to a 7-fold increase in the growth rate of E. coli. The single destabilizing mutation combined with a lacI mutation that expands ligand specificity to d-fucose generated a biosensor with improved response both to d-fucose and to IPTG. However, a mutation equivalent to the one that destabilized LacI in either of two structurally similar periplasmic binding proteins did not confer ligand-dependent stabilization. Finally, we demonstrated the generality of this method by using mutagenesis and selection to engineer another ligand-binding domain, MphR, to function as a biosensor. This strategy may allow many natural proteins that recognize and bind to ligands to be converted into biosensors.
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8
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Xu Y, Miriyala S, Fang F, Bakthavatchalu V, Noel T, Schnell DM, Wang C, St Clair WH, St Clair DK. Manganese superoxide dismutase deficiency triggers mitochondrial uncoupling and the Warburg effect. Oncogene 2017; 36:4087. [PMID: 28288137 DOI: 10.1038/onc.2016.513] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This corrects the article DOI: 10.1038/onc.2014.355.
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9
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Gabriel F, Accoceberry I, Bessoule JF, Manon S, Charron S, Albac S, Dementhon K, Noel T. La β-oxydation chez la levure pathogène opportuniste Candida lusitaniae : existence d’une voie mitochondriale fox2-dépendante et mise en évidence d’une voie peroxysomale alternative fox2-indépendante de catabolisme des acides gras. J Mycol Med 2012. [DOI: 10.1016/j.mycmed.2012.07.015] [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: 11/29/2022]
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10
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Estape R, Quinoa E, Estape R, Noel T, Vega O. Robotic secondary debulking in the management of recurrent ovarian cancer. Gynecol Oncol 2012. [DOI: 10.1016/j.ygyno.2011.12.294] [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: 11/16/2022]
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11
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Bakthavatchalu V, Dey S, Xu Y, Noel T, Jungsuwadee P, Holley AK, Dhar SK, Batinic-Haberle I, St Clair DK. Manganese superoxide dismutase is a mitochondrial fidelity protein that protects Polγ against UV-induced inactivation. Oncogene 2011; 31:2129-39. [PMID: 21909133 PMCID: PMC3237716 DOI: 10.1038/onc.2011.407] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.5] [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] [Indexed: 12/26/2022]
Abstract
Manganese superoxide dismutase is a nuclear encoded primary antioxidant enzyme localized exclusively in the mitochondrial matrix. Genotoxic agents, such as ultraviolet (UV) radiation, generates oxidative stress and cause mitochondrial DNA (mtDNA) damage. The mtDNA polymerase (Polγ), a major constituent of nucleoids, is responsible for the replication and repair of the mitochondrial genome. Recent studies suggest that the mitochondria contain fidelity proteins and MnSOD constitutes an integral part of the nucleoid complex. However, it is not known whether or how MnSOD participates in the mitochondrial repair processes. Using skin tissue from C57BL/6 mice exposed to UVB radiation, we demonstrate that MnSOD has a critical role in preventing mtDNA damage by protecting the function of Polγ. Quantitative-PCR analysis shows an increase in mtDNA damage after UVB exposure. Immunofluorescence and immunoblotting studies demonstrate p53 translocation to the mitochondria and interaction with Polγ after UVB exposure. The mtDNA immunoprecipitation assay with Polγ and p53 antibodies in p53(+/+) and p53(-/-) mice demonstrates an interaction between MnSOD, p53 and Polγ. The results suggest that these proteins form a complex for the repair of UVB-associated mtDNA damage. The data also demonstrate that UVB exposure injures the mtDNA D-loop in a p53-dependent manner. Using MnSOD-deficient mice we demonstrate that UVB-induced mtDNA damage is MnSOD dependent. Exposure to UVB results in nitration and inactivation of Polγ, which is prevented by addition of the MnSOD mimetic Mn(III)TE-2-PyP(5+). These results demonstrate for the first time that MnSOD is a fidelity protein that maintains the activity of Polγ by preventing UVB-induced nitration and inactivation of Polγ. The data also demonstrate that MnSOD has a role along with p53 to prevent mtDNA damage.
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Affiliation(s)
- V Bakthavatchalu
- Graduate Center for Toxicology, University of Kentucky, Lexington, KY 40536-0298, USA
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Gabriel F, Noel T, Accoceberry I. Fatal invasive trichosporonosis due toTrichosporon loubieriin a patient with T-lymphoblastic lymphoma. Med Mycol 2011; 49:306-10. [DOI: 10.3109/13693786.2010.525758] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Velez J, Nithipongvanitch R, Noel T, Daosukho C, Oberley T, St. Clair D. p53 is an important contributor of oxidative stress-mediated doxorubicin-induced cardiac injury. Comp Biochem Physiol A Mol Integr Physiol 2008. [DOI: 10.1016/j.cbpa.2008.04.304] [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: 11/29/2022]
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LeMaster AM, Krimm RF, Davis BM, Noel T, Forbes ME, Johnson JE, Albers KM. Overexpression of brain-derived neurotrophic factor enhances sensory innervation and selectively increases neuron number. J Neurosci 1999; 19:5919-31. [PMID: 10407031 PMCID: PMC6783078] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/1998] [Revised: 05/05/1999] [Accepted: 05/06/1999] [Indexed: 02/13/2023] Open
Abstract
Target-derived neurotrophin growth factors have significant effects on the development and maintenance of the mammalian somatosensory system. Studies of transgenic mice that overexpress neurotrophins NGF and neurotrophin 3 (NT-3) at high levels in skin have shown increased sensory neuron number and enhanced innervation of specific sensory ending types. The effects of two other members of this family, BDNF and NT-4, on sensory neuron development are less clear. This study examined the role of brain-derived neurotrophic factor (BDNF) using transgenic mice that overexpress BDNF in epithelial target tissues of sensory neurons. BDNF transgenic mice had an increase in peripheral innervation density and showed selective effects on neuron survival. Neuron number in trigeminal ganglia, DRG, and SCG were unchanged, although a 38% increase in neurons comprising the placode-derived nodose-petrosal complex occurred. BDNF transgenic skin showed notable enhancement of innervation to hair follicles as detected by PGP9.5 immunolabeling. In nonhairy plantar skin, Meissner corpuscle sensory endings were larger, and the number of Merkel cells with associated innervation was increased. In trigeminal ganglia, neurons expressing trkB receptor were increased threefold, whereas trkA-positive neurons doubled. Analysis of trkB by Northern, reverse transcription-PCR, and Western assays indicated a modest increase in the expression of the T1 truncated receptor and preferential distribution to the periphery. These data indicate that skin-derived BDNF does not enhance survival of cutaneous sensory neurons, although it does promote neurite innervation of specific sites and sensory end organs of the skin.
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MESH Headings
- Animals
- Brain-Derived Neurotrophic Factor/biosynthesis
- Brain-Derived Neurotrophic Factor/genetics
- Cell Division
- Ganglia, Spinal/cytology
- Hair/physiology
- Humans
- Merkel Cells/cytology
- Mice
- Mice, Inbred C3H
- Mice, Inbred Strains
- Mice, Transgenic
- Neurons/cytology
- Neurons, Afferent/cytology
- Neurons, Afferent/physiology
- Organ Specificity
- Polymerase Chain Reaction
- Proto-Oncogene Proteins/genetics
- Proto-Oncogene Proteins/physiology
- Receptor Protein-Tyrosine Kinases/genetics
- Receptor Protein-Tyrosine Kinases/physiology
- Receptor, Ciliary Neurotrophic Factor
- Receptor, trkA
- Receptors, Nerve Growth Factor/genetics
- Receptors, Nerve Growth Factor/physiology
- Skin/innervation
- Superior Cervical Ganglion/cytology
- Trigeminal Ganglion/cytology
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Affiliation(s)
- A M LeMaster
- Department of Anatomy and Neurobiology, University of Kentucky, Lexington, Kentucky 40536, USA
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Abstract
Plasma from the mussel Mytilus galloprovincialis previously immunized by injecting them with bacteria contains several bactericidal proteins. One protein, MGD-1, was purified by reverse-phase HPLC of supernatant from acidified cell-free hemolymph. Its biological activity is directed against both gram-positive and gram-negative bacteria but it is not cytotoxic towards human erythrocytes nor protozoa. As determined by mass spectrometry, the molecular mass of MGD-1 is 4418 Da. Primary-structure analysis revealed 38 amino acids including 8 cysteines and a modified amino acid residue in position 28. Computer searches unambiguously recognized the signature of an arthropod defensin, but the presence of two extra cysteines and of one modified amino acid suggest that it is a previously unknown member of that family.
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Affiliation(s)
- F Hubert
- Dèfense et Rèsistance chez les Invertébrés Marins (DRIM), IFREMER -CNRS, Université de Montpellier 2, France
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Noel T, Huynh TD, Labarère J. Genetic variability of the wild incompatibility alleles of the tetrapolar basidiomycete Agrocybe aegerita. Theor Appl Genet 1991; 81:745-751. [PMID: 24221435 DOI: 10.1007/bf00224984] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/1990] [Accepted: 10/30/1990] [Indexed: 06/02/2023]
Abstract
The variability of the sexual incompatibility genes of Agrocybe aegerita was investigated in the homokaryotic progeny of 13 wild dikaryotic strains from five distinct European geographic origins. Results of mating tests allowed identification of 18 A alleles and 16 B alleles out of a possible 26 different alleles for each in the sample. The determination and the comparison by a contingency χ (2) test of the frequencies of allele replications between intra- and interregional matings showed no departure from a random distribution of incompatibility alleles. The allelic series estimated for the incompatibility genes of the entire population of A. aegerita, 30 A and 25 B aleles, are significantly less extensive than those already hypothesized for other tetrapolar hymenomycetes. However, the low variability of incompatibility genes has little effect on the outbreeding efficiency (92.6%) of this mushroom. The low variability of the incompatibility alleles and the apparent absence of intrafactorial recombination could relate to a single-locus structure of the incompatibility genes in A. aegerita.
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Affiliation(s)
- T Noel
- Laboratory of Molecular Genetics and Improvement of Cultivated Mushrooms, University of Bordeaux II - INRA, CRA de Bordeaux, BP 81, F-33883, Villenave d'Ornon Cedex, France
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Albin J, Noel T, Allan K, Khalil KG. Intrathoracic esophageal perforation with the Angelchik antireflux prosthesis: report of a new complication. Gastrointest Radiol 1985; 10:330-2. [PMID: 4054497 DOI: 10.1007/bf01893123] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Esophageal perforation associated with migration of an Angelchik antireflux prosthesis into the thorax is reported. After initial nonoperative management, this patient was treated by an esophagogastrectomy with a favorable outcome. The complications associated with this prosthesis are reviewed briefly.
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