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Gulko A, Essene A, Belmont-Rausch DM, Veregge M, Pant D, Tenen D, Kapel BS, Emont MP, Pers TH, Rosen ED, Tsai LT. Protocol for flow cytometry-assisted single-nucleus RNA sequencing of human and mouse adipose tissue with sample multiplexing. STAR Protoc 2024; 5:102893. [PMID: 38416649 PMCID: PMC10909897 DOI: 10.1016/j.xpro.2024.102893] [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: 10/15/2023] [Revised: 12/27/2023] [Accepted: 01/30/2024] [Indexed: 03/01/2024] Open
Abstract
Adipocyte size and fragility and commercial kit costs impose significant limitations on single-cell RNA sequencing of adipose tissue. Accordingly, we developed a workflow to isolate and sample-barcode nuclei from individual adipose tissue samples, integrating flow cytometry for quality control, counting, and precise nuclei pooling for direct loading onto the popular 10× Chromium controller. This approach can eliminate batch confounding, and significantly reduces poor-quality nuclei, ambient RNA contamination, and droplet loading-associated reagent waste, resulting in pronounced improvements in information content and cost efficiency.
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Affiliation(s)
- Anton Gulko
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA; Boston Nutrition and Obesity Research Center/Boston Area Diabetes and Endocrinology Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Adam Essene
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA; Boston Nutrition and Obesity Research Center/Boston Area Diabetes and Endocrinology Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | | | - Molly Veregge
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA; Boston Nutrition and Obesity Research Center/Boston Area Diabetes and Endocrinology Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Deepti Pant
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA; Boston Nutrition and Obesity Research Center/Boston Area Diabetes and Endocrinology Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Danielle Tenen
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA; Boston Nutrition and Obesity Research Center/Boston Area Diabetes and Endocrinology Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Benedicte Schultz Kapel
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Margo P Emont
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - Tune H Pers
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Evan D Rosen
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA; Boston Nutrition and Obesity Research Center/Boston Area Diabetes and Endocrinology Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Linus T Tsai
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA; Boston Nutrition and Obesity Research Center/Boston Area Diabetes and Endocrinology Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA.
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2
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Nardone S, De Luca R, Zito A, Klymko N, Nicoloutsopoulos D, Amsalem O, Brannigan C, Resch JM, Jacobs CL, Pant D, Veregge M, Srinivasan H, Grippo RM, Yang Z, Zeidel ML, Andermann ML, Harris KD, Tsai LT, Arrigoni E, Verstegen AMJ, Saper CB, Lowell BB. A spatially-resolved transcriptional atlas of the murine dorsal pons at single-cell resolution. Nat Commun 2024; 15:1966. [PMID: 38438345 PMCID: PMC10912765 DOI: 10.1038/s41467-024-45907-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 02/07/2024] [Indexed: 03/06/2024] Open
Abstract
The "dorsal pons", or "dorsal pontine tegmentum" (dPnTg), is part of the brainstem. It is a complex, densely packed region whose nuclei are involved in regulating many vital functions. Notable among them are the parabrachial nucleus, the Kölliker Fuse, the Barrington nucleus, the locus coeruleus, and the dorsal, laterodorsal, and ventral tegmental nuclei. In this study, we applied single-nucleus RNA-seq (snRNA-seq) to resolve neuronal subtypes based on their unique transcriptional profiles and then used multiplexed error robust fluorescence in situ hybridization (MERFISH) to map them spatially. We sampled ~1 million cells across the dPnTg and defined the spatial distribution of over 120 neuronal subtypes. Our analysis identified an unpredicted high transcriptional diversity in this region and pinpointed the unique marker genes of many neuronal subtypes. We also demonstrated that many neuronal subtypes are transcriptionally similar between humans and mice, enhancing this study's translational value. Finally, we developed a freely accessible, GPU and CPU-powered dashboard ( http://harvard.heavy.ai:6273/ ) that combines interactive visual analytics and hardware-accelerated SQL into a data science framework to allow the scientific community to query and gain insights into the data.
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Affiliation(s)
- Stefano Nardone
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Roberto De Luca
- Department of Neurology, Division of Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
| | - Antonino Zito
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, The Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Nataliya Klymko
- Division of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA
| | | | - Oren Amsalem
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Cory Brannigan
- HEAVY.AI, 100 Montgomery St Fl 5, San Francisco, California, 94104, USA
| | - Jon M Resch
- Department of Neuroscience and Pharmacology, University of Iowa, Iowa City, IA, USA
- Fraternal Order of Eagles Diabetes Research Center. University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA
| | - Christopher L Jacobs
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Deepti Pant
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Molly Veregge
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Harini Srinivasan
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan M Grippo
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Zongfang Yang
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Mark L Zeidel
- Division of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA
| | - Mark L Andermann
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Kenneth D Harris
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Linus T Tsai
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Elda Arrigoni
- Department of Neurology, Division of Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
| | - Anne M J Verstegen
- Division of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA.
| | - Clifford B Saper
- Department of Neurology, Division of Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA.
| | - Bradford B Lowell
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
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3
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Nardone S, De Luca R, Zito A, Klymko N, Nicoloutsopoulos D, Amsalem O, Brannigan C, Resch JM, Jacobs CL, Pant D, Veregge M, Srinivasan H, Grippo RM, Yang Z, Zeidel ML, Andermann ML, Harris KD, Tsai LT, Arrigoni E, Verstegen AMJ, Saper CB, Lowell BB. A spatially-resolved transcriptional atlas of the murine dorsal pons at single-cell resolution. bioRxiv 2023:2023.09.18.558047. [PMID: 38014113 PMCID: PMC10680649 DOI: 10.1101/2023.09.18.558047] [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: 11/29/2023]
Abstract
The "dorsal pons", or "dorsal pontine tegmentum" (dPnTg), is part of the brainstem. It is a complex, densely packed region whose nuclei are involved in regulating many vital functions. Notable among them are the parabrachial nucleus, the Kölliker Fuse, the Barrington nucleus, the locus coeruleus, and the dorsal, laterodorsal, and ventral tegmental nuclei. In this study, we applied single-nucleus RNA-seq (snRNA-seq) to resolve neuronal subtypes based on their unique transcriptional profiles and then used multiplexed error robust fluorescence in situ hybridization (MERFISH) to map them spatially. We sampled ~1 million cells across the dPnTg and defined the spatial distribution of over 120 neuronal subtypes. Our analysis identified an unpredicted high transcriptional diversity in this region and pinpointed many neuronal subtypes' unique marker genes. We also demonstrated that many neuronal subtypes are transcriptionally similar between humans and mice, enhancing this study's translational value. Finally, we developed a freely accessible, GPU and CPU-powered dashboard (http://harvard.heavy.ai:6273/) that combines interactive visual analytics and hardware-accelerated SQL into a data science framework to allow the scientific community to query and gain insights into the data.
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Affiliation(s)
- Stefano Nardone
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Roberto De Luca
- Department of Neurology, Division of Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
| | - Antonino Zito
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Nataliya Klymko
- Division of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave., Boston, MA 02215, USA
| | | | - Oren Amsalem
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Cory Brannigan
- HEAVY.AI, 100 Montgomery St Fl 5, San Francisco, California, 94104, USA
| | - Jon M Resch
- Department of Neuroscience and Pharmacology, University of Iowa, Iowa City, IA, USA
- Fraternal Order of Eagles Diabetes Research Center. University of Iowa Carver College of Medicine, Iowa City, IA 52242
| | - Christopher L Jacobs
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Deepti Pant
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Molly Veregge
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Harini Srinivasan
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan M Grippo
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Zongfang Yang
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Mark L Zeidel
- Division of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave., Boston, MA 02215, USA
| | - Mark L Andermann
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Kenneth D Harris
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Linus T Tsai
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Elda Arrigoni
- Department of Neurology, Division of Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
| | - Anne M J Verstegen
- Division of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave., Boston, MA 02215, USA
| | - Clifford B Saper
- Department of Neurology, Division of Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
| | - Bradford B Lowell
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
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4
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Emont MP, Jacobs C, Essene AL, Pant D, Tenen D, Colleluori G, Di Vincenzo A, Jørgensen AM, Dashti H, Stefek A, McGonagle E, Strobel S, Laber S, Agrawal S, Westcott GP, Kar A, Veregge ML, Gulko A, Srinivasan H, Kramer Z, De Filippis E, Merkel E, Ducie J, Boyd CG, Gourash W, Courcoulas A, Lin SJ, Lee BT, Morris D, Tobias A, Khera AV, Claussnitzer M, Pers TH, Giordano A, Ashenberg O, Regev A, Tsai LT, Rosen ED. Author Correction: A single-cell atlas of human and mouse white adipose tissue. Nature 2023; 620:E14. [PMID: 37495702 DOI: 10.1038/s41586-023-06445-2] [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: 07/28/2023]
Affiliation(s)
- Margo P Emont
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Christopher Jacobs
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Adam L Essene
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Deepti Pant
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Danielle Tenen
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Georgia Colleluori
- Department of Experimental and Clinical Medicine, Center of Obesity, Marche Polytechnic University, Ancona, Italy
| | - Angelica Di Vincenzo
- Department of Experimental and Clinical Medicine, Center of Obesity, Marche Polytechnic University, Ancona, Italy
| | - Anja M Jørgensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Hesam Dashti
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Adam Stefek
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | | | - Saaket Agrawal
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gregory P Westcott
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Amrita Kar
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Molly L Veregge
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Anton Gulko
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Harini Srinivasan
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zachary Kramer
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Eleanna De Filippis
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic Scottsdale, AZ, USA
| | - Erin Merkel
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Jennifer Ducie
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Christopher G Boyd
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - William Gourash
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Anita Courcoulas
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Samuel J Lin
- Division of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Bernard T Lee
- Division of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Donald Morris
- Division of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Adam Tobias
- Division of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Amit V Khera
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Melina Claussnitzer
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Tune H Pers
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Antonio Giordano
- Department of Experimental and Clinical Medicine, Center of Obesity, Marche Polytechnic University, Ancona, Italy
| | - Orr Ashenberg
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Howard Hughes Medical Institute, Koch Institute of Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Genentech, South San Francisco, CA, USA
| | - Linus T Tsai
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Evan D Rosen
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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Rajcsanyi LS, Hoffmann A, Ghosh A, Matrisch-Dinkler B, Zheng Y, Peters T, Sun W, Dong H, Noé F, Wolfrum C, Herpertz-Dahlmann B, Seitz J, de Zwaan M, Herzog W, Ehrlich S, Zipfel S, Giel K, Egberts K, Burghardt R, Föcker M, Tsai LT, Müller TD, Blüher M, Hebebrand J, Hirtz R, Hinney A. Genetic variants in genes involved in creatine biosynthesis in patients with severe obesity or anorexia nervosa. Front Genet 2023; 14:1128133. [PMID: 37101650 PMCID: PMC10123275 DOI: 10.3389/fgene.2023.1128133] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/27/2023] [Indexed: 04/28/2023] Open
Abstract
Increased thermogenesis in brown adipose tissue might have an obesity-reducing effect in humans. In transgenic mice, depletion of genes involved in creatine metabolism results in disrupted thermogenic capacity and altered effects of high-fat feeding on body weight. Data analyses of a sex-stratified genome-wide association study (GWAS) for body mass index (BMI) within the genomic regions of genes of this pathway (CKB, CKMT1B, and GATM) revealed one sex-dimorphic BMI-associated SNP in CKB (rs1136165). The effect size was larger in females than in males. A mutation screen of the coding regions of these three candidate genes in a screening group (192 children and adolescents with severe obesity, 192 female patients with anorexia nervosa, and 192 healthy-lean controls) identified five variants in each, CKB and GATM, and nine variants in the coding sequence of CKMT1B. Non-synonymous variants identified in CKB and CKMT1B were genotyped in an independent confirmation study group (781 families with severe obesity (trios), 320 children and adolescents with severe obesity, and 253 healthy-lean controls). In silico tools predicted mainly benign yet protein-destabilizing potentials. A transmission disequilibrium test in trios with severe obesity indicated an obesity-protective effect of the infrequent allele at rs149544188 located in CKMT1B. Subsequent correlation analyses in 1,479 individuals of the Leipzig Obesity BioBank revealed distinct correlations of CKB with the other two genes in omental visceral adipose tissue (VAT) and abdominal subcutaneous adipose tissue (SAT). Furthermore, between-subject comparisons of gene expression levels showed generally higher expressions of all three genes of interest in VAT than in SAT. Future in vitro analyses are needed to assess the functional implications of these findings.
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Affiliation(s)
- Luisa S. Rajcsanyi
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, Essen, Germany
| | - Anne Hoffmann
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Adhideb Ghosh
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Birgit Matrisch-Dinkler
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Yiran Zheng
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, Essen, Germany
| | - Triinu Peters
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, Essen, Germany
| | - Wenfei Sun
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Hua Dong
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Falko Noé
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Christian Wolfrum
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Beate Herpertz-Dahlmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of the RWTH Aachen, Aachen, Germany
| | - Jochen Seitz
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of the RWTH Aachen, Aachen, Germany
| | - Martina de Zwaan
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Wolfgang Herzog
- Department of Internal Medicine II, General Internal and Psychosomatic Medicine, University of Heidelberg, Heidelberg, Germany
| | - Stefan Ehrlich
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
- Eating Disorders Research and Treatment Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Stephan Zipfel
- Department of Psychosomatic Medicine and Psychotherapy, Medical University Hospital Tübingen, Tübingen, Germany
- Center of Excellence in Eating Disorders KOMET, Tübingen, Germany
| | - Katrin Giel
- Department of Psychosomatic Medicine and Psychotherapy, Medical University Hospital Tübingen, Tübingen, Germany
- Center of Excellence in Eating Disorders KOMET, Tübingen, Germany
| | - Karin Egberts
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Würzburg, Würzburg, Germany
| | - Roland Burghardt
- Child and Adolescent Psychiatry Clinic, Oberberg Fachklinik Fasanenkiez Berlin, Berlin, Germany
| | - Manuel Föcker
- Department of Child and Adolescent Psychiatry, University Hospital Münster, Münster, Germany
| | - Linus T. Tsai
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Timo D. Müller
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, München, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, Essen, Germany
| | - Raphael Hirtz
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Department of Pediatrics, Division of Rare Diseases, and CeSER, Ruhr-University Bochum, Bochum, Germany
- Department of Pediatric Endocrinology and Diabetology, Clinic for Pediatrics II, University Hospital Essen, Essen, Germany
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, Essen, Germany
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6
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Sargsyan A, Doridot L, Hannou SA, Tong W, Srinivasan H, Ivison R, Monn R, Kou HH, Haldeman JM, Arlotto M, White PJ, Grimsrud PA, Astapova I, Tsai LT, Herman MA. HGFAC is a ChREBP-regulated hepatokine that enhances glucose and lipid homeostasis. JCI Insight 2023; 8:e153740. [PMID: 36413406 PMCID: PMC9870088 DOI: 10.1172/jci.insight.153740] [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] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 11/17/2022] [Indexed: 11/24/2022] Open
Abstract
Carbohydrate response element-binding protein (ChREBP) is a carbohydrate-sensing transcription factor that regulates both adaptive and maladaptive genomic responses in coordination of systemic fuel homeostasis. Genetic variants in the ChREBP locus associate with diverse metabolic traits in humans, including circulating lipids. To identify novel ChREBP-regulated hepatokines that contribute to its systemic metabolic effects, we integrated ChREBP ChIP-Seq analysis in mouse liver with human genetic and genomic data for lipid traits and identified hepatocyte growth factor activator (HGFAC) as a promising ChREBP-regulated candidate in mice and humans. HGFAC is a protease that activates the pleiotropic hormone hepatocyte growth factor. We demonstrate that HGFAC-KO mice had phenotypes concordant with putative loss-of-function variants in human HGFAC. Moreover, in gain- and loss-of-function genetic mouse models, we demonstrate that HGFAC enhanced lipid and glucose homeostasis, which may be mediated in part through actions to activate hepatic PPARγ activity. Together, our studies show that ChREBP mediated an adaptive response to overnutrition via activation of HGFAC in the liver to preserve glucose and lipid homeostasis.
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Affiliation(s)
- Ashot Sargsyan
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - Ludivine Doridot
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts, USA
| | - Sarah A. Hannou
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - Wenxin Tong
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - Harini Srinivasan
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Rachael Ivison
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts, USA
| | - Ruby Monn
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - Henry H. Kou
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - Jonathan M. Haldeman
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - Michelle Arlotto
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - Phillip J. White
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, and
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA
| | - Paul A. Grimsrud
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, and
| | - Inna Astapova
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, and
| | - Linus T. Tsai
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Mark A. Herman
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, and
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA
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7
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Xiao H, Bozi LHM, Sun Y, Riley CL, Philip VM, Chen M, Li J, Zhang T, Mills EL, Emont MP, Sun W, Reddy A, Garrity R, Long J, Becher T, Vitas LP, Laznik-Bogoslavski D, Ordonez M, Liu X, Chen X, Wang Y, Liu W, Tran N, Liu Y, Zhang Y, Cypess AM, White AP, He Y, Deng R, Schöder H, Paulo JA, Jedrychowski MP, Banks AS, Tseng YH, Cohen P, Tsai LT, Rosen ED, Klein S, Chondronikola M, McAllister FE, Van Bruggen N, Huttlin EL, Spiegelman BM, Churchill GA, Gygi SP, Chouchani ET. Architecture of the outbred brown fat proteome defines regulators of metabolic physiology. Cell 2022; 185:4654-4673.e28. [PMID: 36334589 PMCID: PMC10040263 DOI: 10.1016/j.cell.2022.10.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 07/18/2022] [Accepted: 10/05/2022] [Indexed: 11/06/2022]
Abstract
Brown adipose tissue (BAT) regulates metabolic physiology. However, nearly all mechanistic studies of BAT protein function occur in a single inbred mouse strain, which has limited the understanding of generalizable mechanisms of BAT regulation over physiology. Here, we perform deep quantitative proteomics of BAT across a cohort of 163 genetically defined diversity outbred mice, a model that parallels the genetic and phenotypic variation found in humans. We leverage this diversity to define the functional architecture of the outbred BAT proteome, comprising 10,479 proteins. We assign co-operative functions to 2,578 proteins, enabling systematic discovery of regulators of BAT. We also identify 638 proteins that correlate with protection from, or sensitivity to, at least one parameter of metabolic disease. We use these findings to uncover SFXN5, LETMD1, and ATP1A2 as modulators of BAT thermogenesis or adiposity, and provide OPABAT as a resource for understanding the conserved mechanisms of BAT regulation over metabolic physiology.
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Affiliation(s)
- Haopeng Xiao
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
| | - Luiz H M Bozi
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Yizhi Sun
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Christopher L Riley
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | | | - Mandy Chen
- The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | - Jiaming Li
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Tian Zhang
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Evanna L Mills
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Margo P Emont
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA
| | - Wenfei Sun
- Department of Bioengineering, Stanford University, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University, CA 94305, USA
| | - Anita Reddy
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Ryan Garrity
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Jiani Long
- College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Tobias Becher
- Laboratory of Molecular Metabolism, The Rockefeller University, New York, NY 10065, USA
| | - Laura Potano Vitas
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | | | - Martha Ordonez
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Xinyue Liu
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Xiong Chen
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Yun Wang
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA; Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Weihai Liu
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Nhien Tran
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Yitong Liu
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Yang Zhang
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA
| | - Aaron M Cypess
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Andrew P White
- Department of Orthopedic Surgery, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA
| | - Yuchen He
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA
| | - Rebecca Deng
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Heiko Schöder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Mark P Jedrychowski
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Alexander S Banks
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA
| | - Yu-Hua Tseng
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA
| | - Paul Cohen
- Laboratory of Molecular Metabolism, The Rockefeller University, New York, NY 10065, USA
| | - Linus T Tsai
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA
| | - Evan D Rosen
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA
| | - Samuel Klein
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO 63110, USA
| | | | | | | | - Edward L Huttlin
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Bruce M Spiegelman
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | | | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Edward T Chouchani
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
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8
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Emont MP, Jacobs C, Essene AL, Pant D, Tenen D, Colleluori G, Di Vincenzo A, Jørgensen AM, Dashti H, Stefek A, McGonagle E, Strobel S, Laber S, Agrawal S, Westcott GP, Kar A, Veregge ML, Gulko A, Srinivasan H, Kramer Z, De Filippis E, Merkel E, Ducie J, Boyd CG, Gourash W, Courcoulas A, Lin SJ, Lee BT, Morris D, Tobias A, Khera AV, Claussnitzer M, Pers TH, Giordano A, Ashenberg O, Regev A, Tsai LT, Rosen ED. A single-cell atlas of human and mouse white adipose tissue. Nature 2022; 603:926-933. [PMID: 35296864 PMCID: PMC9504827 DOI: 10.1038/s41586-022-04518-2] [Citation(s) in RCA: 221] [Impact Index Per Article: 110.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 02/04/2022] [Indexed: 12/13/2022]
Abstract
White adipose tissue, once regarded as morphologically and functionally bland, is now recognized to be dynamic, plastic and heterogenous, and is involved in a wide array of biological processes including energy homeostasis, glucose and lipid handling, blood pressure control and host defence1. High-fat feeding and other metabolic stressors cause marked changes in adipose morphology, physiology and cellular composition1, and alterations in adiposity are associated with insulin resistance, dyslipidemia and type 2 diabetes2. Here we provide detailed cellular atlases of human and mouse subcutaneous and visceral white fat at single-cell resolution across a range of body weight. We identify subpopulations of adipocytes, adipose stem and progenitor cells, vascular and immune cells and demonstrate commonalities and differences across species and dietary conditions. We link specific cell types to increased risk of metabolic disease and provide an initial blueprint for a comprehensive set of interactions between individual cell types in the adipose niche in leanness and obesity. These data comprise an extensive resource for the exploration of genes, traits and cell types in the function of white adipose tissue across species, depots and nutritional conditions.
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Affiliation(s)
- Margo P Emont
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Christopher Jacobs
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Adam L Essene
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Deepti Pant
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Danielle Tenen
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Georgia Colleluori
- Department of Experimental and Clinical Medicine, Center of Obesity, Marche Polytechnic University, Ancona, Italy
| | - Angelica Di Vincenzo
- Department of Experimental and Clinical Medicine, Center of Obesity, Marche Polytechnic University, Ancona, Italy
| | - Anja M Jørgensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Hesam Dashti
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Adam Stefek
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | | | - Saaket Agrawal
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gregory P Westcott
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Amrita Kar
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Molly L Veregge
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Anton Gulko
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Harini Srinivasan
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zachary Kramer
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Eleanna De Filippis
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic Scottsdale, AZ, USA
| | - Erin Merkel
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Jennifer Ducie
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Christopher G Boyd
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - William Gourash
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Anita Courcoulas
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Samuel J Lin
- Division of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Bernard T Lee
- Division of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Donald Morris
- Division of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Adam Tobias
- Division of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Amit V Khera
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Melina Claussnitzer
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Tune H Pers
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Antonio Giordano
- Department of Experimental and Clinical Medicine, Center of Obesity, Marche Polytechnic University, Ancona, Italy
| | - Orr Ashenberg
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Howard Hughes Medical Institute, Koch Institute of Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Genentech, South San Francisco, CA, USA
| | - Linus T Tsai
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Evan D Rosen
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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9
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Tao J, Campbell JN, Tsai LT, Wu C, Liberles SD, Lowell BB. Highly selective brain-to-gut communication via genetically defined vagus neurons. Neuron 2021; 109:2106-2115.e4. [PMID: 34077742 PMCID: PMC8273126 DOI: 10.1016/j.neuron.2021.05.004] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [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: 02/09/2021] [Revised: 04/12/2021] [Accepted: 05/05/2021] [Indexed: 12/29/2022]
Abstract
The vagus nerve innervates many organs, and most, if not all, of its motor fibers are cholinergic. However, no one knows its organizing principles-whether or not there are dedicated neurons with restricted targets that act as "labeled lines" to perform certain functions, including two opposing ones (gastric contraction versus relaxation). By performing unbiased transcriptional profiling of DMV cholinergic neurons, we discovered seven molecularly distinct subtypes of motor neurons. Then, by using subtype-specific Cre driver mice, we show that two of these subtypes exclusively innervate the glandular domain of the stomach where, remarkably, they contact different enteric neurons releasing functionally opposing neurotransmitters (acetylcholine versus nitric oxide). Thus, the vagus motor nerve communicates via genetically defined labeled lines to control functionally unique enteric neurons within discrete subregions of the gastrointestinal tract. This discovery reveals that the parasympathetic nervous system utilizes a striking division of labor to control autonomic function.
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Affiliation(s)
- Jenkang Tao
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Program in Neuroscience, Harvard Medical School, Boston, MA 02115, USA
| | - John N Campbell
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Department of Biology, University of Virginia, Charlottesville, VA 22904, USA.
| | - Linus T Tsai
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Chen Wu
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Stephen D Liberles
- Program in Neuroscience, Harvard Medical School, Boston, MA 02115, USA; Howard Hughes Medical Institute, Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Bradford B Lowell
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Program in Neuroscience, Harvard Medical School, Boston, MA 02115, USA.
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10
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Resch JM, Fenselau H, Madara JC, Wu C, Campbell JN, Lyubetskaya A, Dawes BA, Tsai LT, Li MM, Livneh Y, Ke Q, Kang PM, Fejes-Tóth G, Náray-Fejes-Tóth A, Geerling JC, Lowell BB. Aldosterone-Sensing Neurons in the NTS Exhibit State-Dependent Pacemaker Activity and Drive Sodium Appetite via Synergy with Angiotensin II Signaling. Neuron 2017; 96:190-206.e7. [PMID: 28957668 DOI: 10.1016/j.neuron.2017.09.014] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 08/10/2017] [Accepted: 09/11/2017] [Indexed: 02/06/2023]
Abstract
Sodium deficiency increases angiotensin II (ATII) and aldosterone, which synergistically stimulate sodium retention and consumption. Recently, ATII-responsive neurons in the subfornical organ (SFO) and aldosterone-sensitive neurons in the nucleus of the solitary tract (NTSHSD2 neurons) were shown to drive sodium appetite. Here we investigate the basis for NTSHSD2 neuron activation, identify the circuit by which NTSHSD2 neurons drive appetite, and uncover an interaction between the NTSHSD2 circuit and ATII signaling. NTSHSD2 neurons respond to sodium deficiency with spontaneous pacemaker-like activity-the consequence of "cardiac" HCN and Nav1.5 channels. Remarkably, NTSHSD2 neurons are necessary for sodium appetite, and with concurrent ATII signaling their activity is sufficient to produce rapid consumption. Importantly, NTSHSD2 neurons stimulate appetite via projections to the vlBNST, which is also the effector site for ATII-responsive SFO neurons. The interaction between angiotensin signaling and NTSHSD2 neurons provides a neuronal context for the long-standing "synergy hypothesis" of sodium appetite regulation.
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Affiliation(s)
- Jon M Resch
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Henning Fenselau
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Joseph C Madara
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Chen Wu
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - John N Campbell
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Anna Lyubetskaya
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Brian A Dawes
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Linus T Tsai
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Monica M Li
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Yoav Livneh
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Qingen Ke
- Cardiovascular Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Peter M Kang
- Cardiovascular Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Géza Fejes-Tóth
- Department of Physiology and Neurobiology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Anikó Náray-Fejes-Tóth
- Department of Physiology and Neurobiology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Joel C Geerling
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
| | - Bradford B Lowell
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Program in Neuroscience, Harvard Medical School, Boston, MA 02115, USA.
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11
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Kang S, Tsai LT, Zhou Y, Evertts A, Xu S, Griffin MJ, Issner R, Whitton HJ, Garcia BA, Epstein CB, Mikkelsen TS, Rosen ED. Identification of nuclear hormone receptor pathways causing insulin resistance by transcriptional and epigenomic analysis. Nat Cell Biol 2014; 17:44-56. [PMID: 25503565 PMCID: PMC4281178 DOI: 10.1038/ncb3080] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Accepted: 11/06/2014] [Indexed: 02/06/2023]
Abstract
Insulin resistance is a sine qua non of Type 2 diabetes (T2D) and a frequent complication of multiple clinical conditions, including obesity, aging, and steroid use, among others. How such a panoply of insults can result in a common phenotype is incompletely understood. Furthermore, very little is known about the transcriptional and epigenetic basis of this disorder, despite evidence that such pathways are likely to play a fundamental role. Here, we compare cell autonomous models of insulin resistance induced by the cytokine tumor necrosis factor-α (TNF) or by the steroid dexamethasone (Dex) to construct detailed transcriptional and epigenomic maps associated with cellular insulin resistance. These data predict that the glucocorticoid receptor and vitamin D receptor are common mediators of insulin resistance, which we validate using gain- and loss-of-function studies. These studies define a common transcriptional and epigenomic signature in cellular insulin resistance enabling the identification of pathogenic mechanisms.
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Affiliation(s)
- Sona Kang
- Division of Endocrinology, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215, USA
| | - Linus T Tsai
- Division of Endocrinology, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215, USA
| | - Yiming Zhou
- Division of Endocrinology, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215, USA
| | - Adam Evertts
- Department of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA
| | - Su Xu
- Division of Endocrinology, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215, USA
| | - Michael J Griffin
- Division of Endocrinology, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215, USA
| | - Robbyn Issner
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | | | - Benjamin A Garcia
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | | | | | - Evan D Rosen
- 1] Division of Endocrinology, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215, USA [2] Broad Institute, Cambridge, Massachusetts 02142, USA [3] Harvard Medical School, Boston, Massachusetts 02215, USA
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Abstract
BACKGROUND Drugs of abuse have a common property in mammals, which is their ability to facilitate the release of the neurotransmitter and neuromodulator dopamine in specific brain regions involved in reward and motivation. This increase in synaptic dopamine levels is believed to act as a positive reinforcer and to mediate some of the acute responses to drugs. The mechanisms by which dopamine regulates acute drug responses and addiction remain unknown. RESULTS We present evidence that dopamine plays a role in the responses of Drosophila to cocaine, nicotine or ethanol. We used a startle-induced negative geotaxis assay and a locomotor tracking system to measure the effect of psychostimulants on fly behavior. Using these assays, we show that acute responses to cocaine and nicotine are blunted by pharmacologically induced reductions in dopamine levels. Cocaine and nicotine showed a high degree of synergy in their effects, which is consistent with an action through convergent pathways. In addition, we found that dopamine is involved in the acute locomotor-activating effect, but not the sedating effect, of ethanol. CONCLUSIONS We show that in Drosophila, as in mammals, dopaminergic pathways play a role in modulating specific behavioral responses to cocaine, nicotine or ethanol. We therefore suggest that Drosophila can be used as a genetically tractable model system in which to study the mechanisms underlying behavioral responses to multiple drugs of abuse.
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Affiliation(s)
- R J Bainton
- Department of Anesthesia, University of California San Francisco, California 94143-0452, USA
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Lo YS, Lu CC, Chen LY, Tsai LT. [Clinical studies of neonatal hyperbilirubinemia treated with blood exchange transfusion]. Gaoxiong Yi Xue Ke Xue Za Zhi 1990; 6:556-64. [PMID: 2243373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
From April 1984 to November 1989, 194 cases of neonatal hyperbilirubinemia treated with blood exchange transfusions (BET) were studied. The patients included 127 male and 67 female neonates, with an age ranged from 13 hours to 16 days. The most common cause was idiopathic (52.6%), followed by G-6-PD deficiency (23.7%), and sepsis (12.9%). Most of the neonates received BET at the 4th day of birth (23.2%), but there were still 30 cases (15.5%) that received BET after 1 week of age. There were 17 cases (8.8%) with maximum serum bilirubin lower than 20 mg/dl before receiving BET, five of them were LBW infants; 11 cases (5.7%) were greater than 40 mg/dl. The mean of maximum serum bilirubin was 26.9 +/- 7.96 mg/dl. Most of the cases received BET once (145 cases) or twice (33 cases). There were two cases that received up to six BET's. One was G-6-PD deficiency and one idiopathic in etiology. No significant difference of BET frequency between sex or body weight (p greater than 0.05) was found. Newborns with higher serum bilirubin due to G-6-PD deficiency, received more BET (p less than 0.05). No significant differences of the pH value (7.33 +/- 0.08 vs 7.35 +/- 0.10) and bicarbonate values (21.20 +/- 3.99 vs 22.00 +/- 3.83 mM/L) occurred before and after blood exchange transfusion (p greater than 0.1). The serum calcium decreased significantly after BET (3.88 +/- 0.91 vs 3.15 +/- 6.97 mEq/L, p less than 0.05). There were 11 deaths in this series, the mortality rate was 5.7%. Three cases (1.5%) were dead within 6 hours after BET.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- Y S Lo
- Department of Pediatrics, Kaohsiung Medical College, Taiwan, Republic of China
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Oefinger PE, Shawar RM, Loo SH, Tsai LT, Arnett JK. Enhanced recovery of cytomegalovirus in conventional tube cultures with a spin-amplified adsorption. J Clin Microbiol 1990; 28:965-9. [PMID: 2161870 PMCID: PMC267847 DOI: 10.1128/jcm.28.5.965-969.1990] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Low-speed centrifugation-mediated adsorption was evaluated as an enhancement of infectivity of clinical and laboratory strains of cytomegalovirus (CMV) occurring with cells grown in conventional culture tubes. The time required for reporting of primary isolates of CMV from urine specimens adsorbed onto monolayers of WI-38 cells in culture tubes was calculated. Of 668 specimens adsorbed by the stationary phase (SP) method, 98 were positive by cytopathic effect (CPE) that required an average of 16.8 days for recovery in culture. However, the appearance of CPE required a shorter average time of 11.9 days for 70 CMV strains isolated from 283 specimens adsorbed in tube cultures by the spin-amplified (SA) method. In another phase of clinical CMV recovery, urine specimens were adsorbed by the SA method onto cell cultures grown in both shell vials and test tubes. Of 594 specimens inoculated, a total of 74 were positive by either CPE in test tubes or immunostaining-localized early antigen in shell vials. Approximately one-third of these CMV isolates were recovered only by CPE from specimens adsorbed by the SA method in test-tube cultures. In a related study to further evaluate differences between adsorption methods, the AD-169 laboratory strain of CMV was adsorbed by SP and SA methods onto MRC-5 cells grown in both culture vessels. Early antigen detection by immunomicroscopy was found in the infected cells at least 2 to 4 days prior to the appearance of CPE, regardless of adsorption procedure. In both vessels, the replication of AD-169 virus in cultures adsorbed by the SA method consistently exceeded that of virus adsorbed by the SP procedure. CPE occurred 24 to 48 h earlier and progressed two to four times more extensively; early antigen was expressed two- to fourfold greater within 24 to 48 h postinfection; and foci of infected cells containing late antigen were two to four times greater in number at 1, 2, and 5 days postinfection. Overall, the replication and enhancement of infectivity of laboratory and clinical strains of CMV as determined by CPE and early and late antigen expression occurred most efficiently with specimens adsorbed by the SA method onto cultures grown in conventional tubes or shell vials.
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Affiliation(s)
- P E Oefinger
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center, Houston
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Tsai LT, Lu CC. Clinical evaluation of transcutaneous jaundice meter in full-term newborns. Zhonghua Min Guo Xiao Er Ke Yi Xue Hui Za Zhi 1988; 29:376-82. [PMID: 3272538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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Tsai LT, Chang TT, Hwang KP, Chen TS. [Clinical study of interstitial pneumonia in acute lymphoblastic leukemia children under anti-cancer therapy]. Gaoxiong Yi Xue Ke Xue Za Zhi 1985; 1:754-60. [PMID: 3879964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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Tsai LT, Wu JR, Huang TY, Lin YT. [Double inlet left ventricle--a case report]. Gaoxiong Yi Xue Ke Xue Za Zhi 1985; 1:641-5. [PMID: 3871016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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