Understanding islet dysfunction in type 2 diabetes through multidimensional pancreatic phenotyping: The Human Pancreas Analysis Program
In this perspective, we provide an overview of a recently established National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) initiative, the Human Pancreas Analysis Program for Type 2 Diabetes (HPAP-T2D). This program is designed to define the molecular pathogenesis of islet dysfun...
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Published in | Cell metabolism Vol. 34; no. 12; pp. 1906 - 1913 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
06.12.2022
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Subjects | |
Online Access | Get full text |
ISSN | 1550-4131 1932-7420 1932-7420 |
DOI | 10.1016/j.cmet.2022.09.013 |
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Abstract | In this perspective, we provide an overview of a recently established National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) initiative, the Human Pancreas Analysis Program for Type 2 Diabetes (HPAP-T2D). This program is designed to define the molecular pathogenesis of islet dysfunction by studying human pancreatic tissue samples from organ donors with T2D. HPAP-T2D generates detailed datasets of physiological, histological, transcriptomic, epigenomic, and genomic information. Importantly, all data collected, generated, and analyzed by HPAP-T2D are made immediately and freely available through a centralized database, PANC-DB, thus providing a comprehensive data resource for the diabetes research community.
Using a collaborative, multi-institutional approach, the Human Pancreas Analysis Program for Type 2 Diabetes (HPAP-T2D) studies the molecular pathogenesis of islet dysfunction in type 2 diabetes. All data generated by the program are made immediately and freely accessible, thus providing a valuable resource for the diabetes research community. |
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AbstractList | In this perspective, we provide an overview of a recently established National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) initiative, the Human Pancreas Analysis Program for Type 2 Diabetes (HPAP-T2D). This program is designed to define the molecular pathogenesis of islet dysfunction by studying human pancreatic tissue samples from organ donors with T2D. HPAP-T2D generates detailed datasets of physiological, histological, transcriptomic, epigenomic, and genomic information. Importantly, all data collected, generated, and analyzed by HPAP-T2D are made immediately and freely available through a centralized database, PANC-DB, thus providing a comprehensive data resource for the diabetes research community. In this perspective, we provide an overview of a recently established National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) initiative, the Human Pancreas Analysis Program for Type 2 Diabetes (HPAP-T2D). This program is designed to define the molecular pathogenesis of islet dysfunction by studying human pancreatic tissue samples from organ donors with T2D. HPAP-T2D generates detailed datasets of physiological, histological, transcriptomic, epigenomic, and genomic information. Importantly, all data collected, generated, and analyzed by HPAP-T2D are made immediately and freely available through a centralized database, PANC-DB, thus providing a comprehensive data resource for the diabetes research community.In this perspective, we provide an overview of a recently established National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) initiative, the Human Pancreas Analysis Program for Type 2 Diabetes (HPAP-T2D). This program is designed to define the molecular pathogenesis of islet dysfunction by studying human pancreatic tissue samples from organ donors with T2D. HPAP-T2D generates detailed datasets of physiological, histological, transcriptomic, epigenomic, and genomic information. Importantly, all data collected, generated, and analyzed by HPAP-T2D are made immediately and freely available through a centralized database, PANC-DB, thus providing a comprehensive data resource for the diabetes research community. In this perspective, we provide an overview of a recently established National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) initiative, the Human Pancreas Analysis Program for Type 2 Diabetes (HPAP-T2D). This program is designed to define the molecular pathogenesis of islet dysfunction by studying human pancreatic tissue samples from organ donors with T2D. HPAP-T2D generates detailed datasets of physiological, histological, transcriptomic, epigenomic, and genomic information. Importantly, all data collected, generated, and analyzed by HPAP-T2D are made immediately and freely available through a centralized database, PANC-DB, thus providing a comprehensive data resource for the diabetes research community. Using a collaborative, multi-institutional approach, the Human Pancreas Analysis Program for Type 2 Diabetes (HPAP-T2D) studies the molecular pathogenesis of islet dysfunction in type 2 diabetes. All data generated by the program are made immediately and freely accessible, thus providing a valuable resource for the diabetes research community. |
Author | Naji, Ali Atkinson, Mark A. Kaestner, Klaus H. Shapira, Suzanne N. Powers, Alvin C. |
Author_xml | – sequence: 1 givenname: Suzanne N. surname: Shapira fullname: Shapira, Suzanne N. organization: Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA – sequence: 2 givenname: Ali surname: Naji fullname: Naji, Ali organization: Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Philadelphia, PA 19104, USA – sequence: 3 givenname: Mark A. surname: Atkinson fullname: Atkinson, Mark A. organization: Departments of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL 32610, USA – sequence: 4 givenname: Alvin C. surname: Powers fullname: Powers, Alvin C. email: al.powers@vumc.org organization: Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA – sequence: 5 givenname: Klaus H. orcidid: 0000-0002-1228-021X surname: Kaestner fullname: Kaestner, Klaus H. email: kaestner@pennmedicine.upenn.edu organization: Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA |
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Cites_doi | 10.1016/j.cmet.2019.01.003 10.1038/s42255-021-00415-6 10.1016/j.cmet.2020.04.005 10.1038/s41588-020-0637-y 10.2337/dc14-0396 10.1007/s00125-020-05140-5 10.1038/s42255-022-00531-x 10.1038/s41588-018-0084-1 10.1038/s41574-019-0308-1 10.1016/j.molmet.2020.101057 10.1371/journal.pmed.1002654 10.1016/j.cmet.2021.12.021 10.1007/s00125-002-1009-0 10.1016/j.cmet.2016.09.007 10.1016/j.cell.2018.07.010 10.1016/j.celrep.2021.109807 10.2337/db19-0058 10.1016/S2213-8587(19)30087-7 10.1038/emboj.2011.503 10.1016/j.celrep.2021.109919 10.1016/j.molmet.2016.01.002 10.3389/fendo.2018.00532 10.1016/j.molmet.2019.06.007 10.1007/s00125-007-0916-5 10.2337/db16-0996 10.1369/jhc.5C6684.2005 10.1016/j.cmet.2013.11.016 10.1038/s41576-020-0270-8 10.1038/s42255-022-00607-8 10.1016/j.cmet.2016.08.020 10.2337/db16-0405 10.1038/nmeth.2869 10.1016/j.patter.2020.100120 10.3389/fgene.2017.00013 10.1038/s42255-021-00420-9 |
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Keywords | epigenomics type 2 diabetes pancreas islets T2D |
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References | Kahn (bib18) 2003; 46 Dai, Ramesh, Locasale (bib7) 2020; 21 Halban, Polonsky, Bowden, Hawkins, Ling, Mather, Powers, Rhodes, Sussel, Weir (bib16) 2014; 37 Walker, Saunders, Rai, Dai, Orchard, Hopkirk, Reihsmann, Tao, Fan, Shrestha (bib31) 2021 Erion, Corkey (bib10) 2018; 9 Kameswaran, Bramswig, McKenna, Penn, Schug, Hand, Chen, Choi, Vourekas, Won (bib19) 2014; 19 Dai, Camunas-Soler, Briant, Dos Santos, Spigelman, Walker, Arrojo, Bautista, Jones, Avrahami (bib8) 2022; 34 Fasolino, Schwartz, Patil, Mongia, Golson, Wang, Morgan, Liu, Schug, Liu (bib11) 2022; 4 Giesen, Wang, Schapiro, Zivanovic, Jacobs, Hattendorf, Schüffler, Grolimund, Buhmann, Brandt (bib12) 2014; 11 Philipson (bib23) 2020; 16 Brissova, Fowler, Nicholson, Chu, Hirshberg, Harlan, Powers (bib5) 2005; 53 Udler, Kim, von Grotthuss, Bonas-Guarch, Cole, Chiou, Boehnke, Laakso, Atzmon (bib27) 2018; 15 Kaestner, Powers, Naji, Atkinson (bib17) 2019; 68 Saunders, Messmer, Kusmartseva, Beery, Yang, Atkinson, Powers, Cartailler, Brissova (bib24) 2020; 1 Camunas-Soler, Dai, Hang, Bautista, Lyon, Suzuki, Kim, Quake, MacDonald (bib6) 2020; 31 Wang, Golson, Schug, Traum, Liu, Vivek, Dorrell, Naji, Powers, Chang (bib32) 2016; 24 Wu, Lee, Bahl, Traum, Schug, Kusmartseva, Atkinson, Fan, Kaestner (bib36) 2021; 37 Wang, Schug, Won, Liu, Naji, Avrahami, Golson, Kaestner (bib33) 2016; 65 Schnurr, Jakupović, Carrasquilla, Ängquist, Grarup, Sørensen, Tjønneland, Overvad, Pedersen, Hansen (bib25) 2020; 63 Wigger, Barovic, Brunner, Marzetta, Schöniger, Mehl, Kipke, Friedland, Burdet, Kessler (bib35) 2021; 3 Mularoni, Ramos-Rodríguez, Pasquali (bib22) 2017; 8 Avrahami, Wang, Schug, Feleke, Gao, Liu, Naji, Glaser, Kaestner (bib4) 2020; 42 Dennis, Shields, Henley, Jones, Hattersley (bib9) 2019; 7 Segerstolpe, Palasantza, Eliasson, Andersson, Andréasson, Sun, Picelli, Sabirsh, Clausen, Bjursell (bib26) 2016; 24 Goltsev, Samusik, Kennedy-Darling, Bhate, Hale, Vazquez, Black, Nolan (bib15) 2018; 174 Wang, Traum, Schug, Gao, Liu, Atkinson, Powers, Feldman, Naji (bib34) 2019; 29 Avrahami, Kaestner (bib3) 2019; 27S Gloyn, Powers (bib13) 2021; 3 Vujkovic, Keaton, Lynch, Miller, Zhou, Tcheandjieu, Huffman, Assimes, Lorenz, Zhu (bib30) 2020; 52 Volkmar, Dedeurwaerder, Cunha, Ndlovu, Defrance, Deplus, Calonne, Volkmar, Igoillo-Esteve, Naamane (bib28) 2012; 31 Ling, Del Guerra, Lupi, Rönn, Granhall, Luthman, Masiello, Marchetti, Groop, Del Prato (bib20) 2008; 51 Ackermann, Wang, Schug, Naji, Kaestner (bib1) 2016; 5 Gloyn, Ibberson, Marchetti, Powers, Rorsman, Sander, Solimena (bib14) 2022; 4 Alonso, Piron, Morán, Guindo-Martínez, Bonàs-Guarch, Atla, Miguel-Escalada, Royo, Puiggròs, Garcia-Hurtado (bib2) 2021; 37 Mahajan, Wessel, Willems, Zhao, Robertson, Chu, Gan, Kitajima, Taliun, Rayner (bib21) 2018; 50 Volkov, Bacos, Ofori, Esguerra, Eliasson, Rönn, Ling (bib29) 2017; 66 Gloyn (10.1016/j.cmet.2022.09.013_bib13) 2021; 3 Volkmar (10.1016/j.cmet.2022.09.013_bib28) 2012; 31 Philipson (10.1016/j.cmet.2022.09.013_bib23) 2020; 16 Wu (10.1016/j.cmet.2022.09.013_bib36) 2021; 37 Dai (10.1016/j.cmet.2022.09.013_bib8) 2022; 34 Kaestner (10.1016/j.cmet.2022.09.013_bib17) 2019; 68 Erion (10.1016/j.cmet.2022.09.013_bib10) 2018; 9 Wang (10.1016/j.cmet.2022.09.013_bib32) 2016; 24 Goltsev (10.1016/j.cmet.2022.09.013_bib15) 2018; 174 Udler (10.1016/j.cmet.2022.09.013_bib27) 2018; 15 Avrahami (10.1016/j.cmet.2022.09.013_bib4) 2020; 42 Walker (10.1016/j.cmet.2022.09.013_bib31) 2021 Halban (10.1016/j.cmet.2022.09.013_bib16) 2014; 37 Ackermann (10.1016/j.cmet.2022.09.013_bib1) 2016; 5 Brissova (10.1016/j.cmet.2022.09.013_bib5) 2005; 53 Ling (10.1016/j.cmet.2022.09.013_bib20) 2008; 51 Kameswaran (10.1016/j.cmet.2022.09.013_bib19) 2014; 19 Gloyn (10.1016/j.cmet.2022.09.013_bib14) 2022; 4 Volkov (10.1016/j.cmet.2022.09.013_bib29) 2017; 66 Mularoni (10.1016/j.cmet.2022.09.013_bib22) 2017; 8 Vujkovic (10.1016/j.cmet.2022.09.013_bib30) 2020; 52 Schnurr (10.1016/j.cmet.2022.09.013_bib25) 2020; 63 Fasolino (10.1016/j.cmet.2022.09.013_bib11) 2022; 4 Mahajan (10.1016/j.cmet.2022.09.013_bib21) 2018; 50 Dai (10.1016/j.cmet.2022.09.013_bib7) 2020; 21 Wang (10.1016/j.cmet.2022.09.013_bib33) 2016; 65 Wang (10.1016/j.cmet.2022.09.013_bib34) 2019; 29 Alonso (10.1016/j.cmet.2022.09.013_bib2) 2021; 37 Dennis (10.1016/j.cmet.2022.09.013_bib9) 2019; 7 Segerstolpe (10.1016/j.cmet.2022.09.013_bib26) 2016; 24 Camunas-Soler (10.1016/j.cmet.2022.09.013_bib6) 2020; 31 Wigger (10.1016/j.cmet.2022.09.013_bib35) 2021; 3 Avrahami (10.1016/j.cmet.2022.09.013_bib3) 2019; 27S Kahn (10.1016/j.cmet.2022.09.013_bib18) 2003; 46 Saunders (10.1016/j.cmet.2022.09.013_bib24) 2020; 1 Giesen (10.1016/j.cmet.2022.09.013_bib12) 2014; 11 |
References_xml | – volume: 19 start-page: 135 year: 2014 end-page: 145 ident: bib19 article-title: Epigenetic regulation of the DLK1-MEG3 microRNA cluster in human type 2 diabetic islets publication-title: Cell Metab. – volume: 63 start-page: 1324 year: 2020 end-page: 1332 ident: bib25 article-title: Obesity, unfavourable lifestyle and genetic risk of type 2 diabetes: a case-cohort study publication-title: Diabetologia – volume: 53 start-page: 1087 year: 2005 end-page: 1097 ident: bib5 article-title: Assessment of human pancreatic islet architecture and composition by laser scanning confocal microscopy publication-title: J. Histochem. Cytochem. – volume: 34 start-page: 256 year: 2022 end-page: 268.e5 ident: bib8 article-title: Heterogenous impairment of alpha cell function in type 2 diabetes is linked to cell maturation state publication-title: Cell Metab. – volume: 1 start-page: 100120 year: 2020 ident: bib24 article-title: Pancreatlas: applying an adaptable framework to map the human pancreas in health and disease publication-title: Patterns – volume: 68 start-page: 1394 year: 2019 end-page: 1402 ident: bib17 article-title: NIH initiative to improve understanding of the pancreas, islet, and autoimmunity in type 1 diabetes: the Human Pancreas Analysis Program (HPAP) publication-title: Diabetes – year: 2021 ident: bib31 article-title: RFX6-mediated dysregulation defines human β cell dysfunction in early type 2 diabetes – volume: 46 start-page: 3 year: 2003 end-page: 19 ident: bib18 article-title: The relative contributions of insulin resistance and beta-cell dysfunction to the pathophysiology of type 2 diabetes publication-title: Diabetologia – volume: 42 start-page: 101057 year: 2020 ident: bib4 article-title: Single-cell transcriptomics of human islet ontogeny defines the molecular basis of beta-cell dedifferentiation in T2D publication-title: Mol. Metab. – volume: 52 start-page: 680 year: 2020 end-page: 691 ident: bib30 article-title: Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis publication-title: Nat. Genet. – volume: 37 start-page: 109807 year: 2021 ident: bib2 article-title: TIGER: the gene expression regulatory variation landscape of human pancreatic islets publication-title: Cell Rep. – volume: 65 start-page: 3028 year: 2016 end-page: 3038 ident: bib33 article-title: Single-cell transcriptomics of the human endocrine pancreas publication-title: Diabetes – volume: 21 start-page: 737 year: 2020 end-page: 753 ident: bib7 article-title: The evolving metabolic landscape of chromatin biology and epigenetics publication-title: Nat. Rev. Genet. – volume: 31 start-page: 1017 year: 2020 end-page: 1031.e4 ident: bib6 article-title: Patch-seq links single-cell transcriptomes to human islet dysfunction in diabetes publication-title: Cell Metab. – volume: 15 start-page: e1002654 year: 2018 ident: bib27 article-title: Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: a soft clustering analysis publication-title: PLoS Med. – volume: 8 start-page: 13 year: 2017 ident: bib22 article-title: The pancreatic islet regulome browser publication-title: Front. Genet. – volume: 66 start-page: 1074 year: 2017 end-page: 1085 ident: bib29 article-title: Whole-genome bisulfite sequencing of human pancreatic islets reveals novel differentially methylated regions in type 2 diabetes pathogenesis publication-title: Diabetes – volume: 9 start-page: 532 year: 2018 ident: bib10 article-title: Beta-cell failure or beta-cell abuse? publication-title: Front. Endocrinol. – volume: 4 start-page: 284 year: 2022 end-page: 299 ident: bib11 article-title: Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes publication-title: Nat. Metab. – volume: 11 start-page: 417 year: 2014 end-page: 422 ident: bib12 article-title: Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry publication-title: Nat. Methods – volume: 3 start-page: 894 year: 2021 end-page: 895 ident: bib13 article-title: There is more than one way to reach type 2 diabetes publication-title: Nat. Metab. – volume: 4 start-page: 970 year: 2022 end-page: 977 ident: bib14 article-title: Every islet matters: improving the impact of human islet research publication-title: Nat. Metab. – volume: 50 start-page: 559 year: 2018 end-page: 571 ident: bib21 article-title: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes publication-title: Nat. Genet. – volume: 7 start-page: 442 year: 2019 end-page: 451 ident: bib9 article-title: Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared with models based on simple clinical features: an analysis using clinical trial data publication-title: Lancet Diabetes Endocrinol. – volume: 31 start-page: 1405 year: 2012 end-page: 1426 ident: bib28 article-title: DNA methylation profiling identifies epigenetic dysregulation in pancreatic islets from type 2 diabetic patients publication-title: EMBO J. – volume: 5 start-page: 233 year: 2016 end-page: 244 ident: bib1 article-title: Integration of ATAC-seq and RNA-seq identifies human alpha cell and beta cell signature genes publication-title: Mol. Metab. – volume: 27S start-page: S25 year: 2019 end-page: S32 ident: bib3 article-title: The dynamic methylome of islets in health and disease publication-title: Mol. Metab. – volume: 37 start-page: 1751 year: 2014 end-page: 1758 ident: bib16 article-title: Beta-cell failure in type 2 diabetes: postulated mechanisms and prospects for prevention and treatment publication-title: Diabetes Care – volume: 24 start-page: 593 year: 2016 end-page: 607 ident: bib26 article-title: Single-cell transcriptome profiling of human pancreatic islets in health and type 2 diabetes publication-title: Cell Metab. – volume: 51 start-page: 615 year: 2008 end-page: 622 ident: bib20 article-title: Epigenetic regulation of PPARGC1A in human type 2 diabetic islets and effect on insulin secretion publication-title: Diabetologia – volume: 37 start-page: 109919 year: 2021 ident: bib36 article-title: Single-cell analysis of the human pancreas in type 2 diabetes using multi-spectral imaging mass cytometry publication-title: Cell Rep. – volume: 3 start-page: 1017 year: 2021 end-page: 1031 ident: bib35 article-title: Multi-omics profiling of living human pancreatic islet donors reveals heterogeneous beta cell trajectories towards type 2 diabetes publication-title: Nat. Metab. – volume: 174 start-page: 968 year: 2018 end-page: 981.e15 ident: bib15 article-title: Deep profiling of mouse splenic architecture with CODEX multiplexed imaging publication-title: Cell – volume: 29 start-page: 769 year: 2019 end-page: 783.e4 ident: bib34 article-title: Multiplexed in situ imaging mass cytometry analysis of the human endocrine pancreas and immune system in type 1 diabetes publication-title: Cell Metab. – volume: 16 start-page: 79 year: 2020 end-page: 80 ident: bib23 article-title: Harnessing heterogeneity in type 2 diabetes mellitus publication-title: Nat. Rev. Endocrinol. – volume: 24 start-page: 616 year: 2016 end-page: 626 ident: bib32 article-title: Single-cell mass cytometry analysis of the human endocrine pancreas publication-title: Cell Metab. – year: 2021 ident: 10.1016/j.cmet.2022.09.013_bib31 – volume: 29 start-page: 769 year: 2019 ident: 10.1016/j.cmet.2022.09.013_bib34 article-title: Multiplexed in situ imaging mass cytometry analysis of the human endocrine pancreas and immune system in type 1 diabetes publication-title: Cell Metab. doi: 10.1016/j.cmet.2019.01.003 – volume: 3 start-page: 894 year: 2021 ident: 10.1016/j.cmet.2022.09.013_bib13 article-title: There is more than one way to reach type 2 diabetes publication-title: Nat. Metab. doi: 10.1038/s42255-021-00415-6 – volume: 31 start-page: 1017 year: 2020 ident: 10.1016/j.cmet.2022.09.013_bib6 article-title: Patch-seq links single-cell transcriptomes to human islet dysfunction in diabetes publication-title: Cell Metab. doi: 10.1016/j.cmet.2020.04.005 – volume: 52 start-page: 680 year: 2020 ident: 10.1016/j.cmet.2022.09.013_bib30 article-title: Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis publication-title: Nat. Genet. doi: 10.1038/s41588-020-0637-y – volume: 37 start-page: 1751 year: 2014 ident: 10.1016/j.cmet.2022.09.013_bib16 article-title: Beta-cell failure in type 2 diabetes: postulated mechanisms and prospects for prevention and treatment publication-title: Diabetes Care doi: 10.2337/dc14-0396 – volume: 63 start-page: 1324 year: 2020 ident: 10.1016/j.cmet.2022.09.013_bib25 article-title: Obesity, unfavourable lifestyle and genetic risk of type 2 diabetes: a case-cohort study publication-title: Diabetologia doi: 10.1007/s00125-020-05140-5 – volume: 4 start-page: 284 year: 2022 ident: 10.1016/j.cmet.2022.09.013_bib11 article-title: Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes publication-title: Nat. Metab. doi: 10.1038/s42255-022-00531-x – volume: 50 start-page: 559 year: 2018 ident: 10.1016/j.cmet.2022.09.013_bib21 article-title: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes publication-title: Nat. Genet. doi: 10.1038/s41588-018-0084-1 – volume: 16 start-page: 79 year: 2020 ident: 10.1016/j.cmet.2022.09.013_bib23 article-title: Harnessing heterogeneity in type 2 diabetes mellitus publication-title: Nat. Rev. Endocrinol. doi: 10.1038/s41574-019-0308-1 – volume: 42 start-page: 101057 year: 2020 ident: 10.1016/j.cmet.2022.09.013_bib4 article-title: Single-cell transcriptomics of human islet ontogeny defines the molecular basis of beta-cell dedifferentiation in T2D publication-title: Mol. Metab. doi: 10.1016/j.molmet.2020.101057 – volume: 15 start-page: e1002654 year: 2018 ident: 10.1016/j.cmet.2022.09.013_bib27 article-title: Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: a soft clustering analysis publication-title: PLoS Med. doi: 10.1371/journal.pmed.1002654 – volume: 34 start-page: 256 year: 2022 ident: 10.1016/j.cmet.2022.09.013_bib8 article-title: Heterogenous impairment of alpha cell function in type 2 diabetes is linked to cell maturation state publication-title: Cell Metab. doi: 10.1016/j.cmet.2021.12.021 – volume: 46 start-page: 3 year: 2003 ident: 10.1016/j.cmet.2022.09.013_bib18 article-title: The relative contributions of insulin resistance and beta-cell dysfunction to the pathophysiology of type 2 diabetes publication-title: Diabetologia doi: 10.1007/s00125-002-1009-0 – volume: 24 start-page: 616 year: 2016 ident: 10.1016/j.cmet.2022.09.013_bib32 article-title: Single-cell mass cytometry analysis of the human endocrine pancreas publication-title: Cell Metab. doi: 10.1016/j.cmet.2016.09.007 – volume: 174 start-page: 968 year: 2018 ident: 10.1016/j.cmet.2022.09.013_bib15 article-title: Deep profiling of mouse splenic architecture with CODEX multiplexed imaging publication-title: Cell doi: 10.1016/j.cell.2018.07.010 – volume: 37 start-page: 109807 year: 2021 ident: 10.1016/j.cmet.2022.09.013_bib2 article-title: TIGER: the gene expression regulatory variation landscape of human pancreatic islets publication-title: Cell Rep. doi: 10.1016/j.celrep.2021.109807 – volume: 68 start-page: 1394 year: 2019 ident: 10.1016/j.cmet.2022.09.013_bib17 article-title: NIH initiative to improve understanding of the pancreas, islet, and autoimmunity in type 1 diabetes: the Human Pancreas Analysis Program (HPAP) publication-title: Diabetes doi: 10.2337/db19-0058 – volume: 7 start-page: 442 year: 2019 ident: 10.1016/j.cmet.2022.09.013_bib9 article-title: Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared with models based on simple clinical features: an analysis using clinical trial data publication-title: Lancet Diabetes Endocrinol. doi: 10.1016/S2213-8587(19)30087-7 – volume: 31 start-page: 1405 year: 2012 ident: 10.1016/j.cmet.2022.09.013_bib28 article-title: DNA methylation profiling identifies epigenetic dysregulation in pancreatic islets from type 2 diabetic patients publication-title: EMBO J. doi: 10.1038/emboj.2011.503 – volume: 37 start-page: 109919 year: 2021 ident: 10.1016/j.cmet.2022.09.013_bib36 article-title: Single-cell analysis of the human pancreas in type 2 diabetes using multi-spectral imaging mass cytometry publication-title: Cell Rep. doi: 10.1016/j.celrep.2021.109919 – volume: 5 start-page: 233 year: 2016 ident: 10.1016/j.cmet.2022.09.013_bib1 article-title: Integration of ATAC-seq and RNA-seq identifies human alpha cell and beta cell signature genes publication-title: Mol. Metab. doi: 10.1016/j.molmet.2016.01.002 – volume: 9 start-page: 532 year: 2018 ident: 10.1016/j.cmet.2022.09.013_bib10 article-title: Beta-cell failure or beta-cell abuse? publication-title: Front. Endocrinol. doi: 10.3389/fendo.2018.00532 – volume: 27S start-page: S25 year: 2019 ident: 10.1016/j.cmet.2022.09.013_bib3 article-title: The dynamic methylome of islets in health and disease publication-title: Mol. Metab. doi: 10.1016/j.molmet.2019.06.007 – volume: 51 start-page: 615 year: 2008 ident: 10.1016/j.cmet.2022.09.013_bib20 article-title: Epigenetic regulation of PPARGC1A in human type 2 diabetic islets and effect on insulin secretion publication-title: Diabetologia doi: 10.1007/s00125-007-0916-5 – volume: 66 start-page: 1074 year: 2017 ident: 10.1016/j.cmet.2022.09.013_bib29 article-title: Whole-genome bisulfite sequencing of human pancreatic islets reveals novel differentially methylated regions in type 2 diabetes pathogenesis publication-title: Diabetes doi: 10.2337/db16-0996 – volume: 53 start-page: 1087 year: 2005 ident: 10.1016/j.cmet.2022.09.013_bib5 article-title: Assessment of human pancreatic islet architecture and composition by laser scanning confocal microscopy publication-title: J. Histochem. Cytochem. doi: 10.1369/jhc.5C6684.2005 – volume: 19 start-page: 135 year: 2014 ident: 10.1016/j.cmet.2022.09.013_bib19 article-title: Epigenetic regulation of the DLK1-MEG3 microRNA cluster in human type 2 diabetic islets publication-title: Cell Metab. doi: 10.1016/j.cmet.2013.11.016 – volume: 21 start-page: 737 year: 2020 ident: 10.1016/j.cmet.2022.09.013_bib7 article-title: The evolving metabolic landscape of chromatin biology and epigenetics publication-title: Nat. Rev. Genet. doi: 10.1038/s41576-020-0270-8 – volume: 4 start-page: 970 year: 2022 ident: 10.1016/j.cmet.2022.09.013_bib14 article-title: Every islet matters: improving the impact of human islet research publication-title: Nat. Metab. doi: 10.1038/s42255-022-00607-8 – volume: 24 start-page: 593 year: 2016 ident: 10.1016/j.cmet.2022.09.013_bib26 article-title: Single-cell transcriptome profiling of human pancreatic islets in health and type 2 diabetes publication-title: Cell Metab. doi: 10.1016/j.cmet.2016.08.020 – volume: 65 start-page: 3028 year: 2016 ident: 10.1016/j.cmet.2022.09.013_bib33 article-title: Single-cell transcriptomics of the human endocrine pancreas publication-title: Diabetes doi: 10.2337/db16-0405 – volume: 11 start-page: 417 year: 2014 ident: 10.1016/j.cmet.2022.09.013_bib12 article-title: Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry publication-title: Nat. Methods doi: 10.1038/nmeth.2869 – volume: 1 start-page: 100120 year: 2020 ident: 10.1016/j.cmet.2022.09.013_bib24 article-title: Pancreatlas: applying an adaptable framework to map the human pancreas in health and disease publication-title: Patterns doi: 10.1016/j.patter.2020.100120 – volume: 8 start-page: 13 year: 2017 ident: 10.1016/j.cmet.2022.09.013_bib22 article-title: The pancreatic islet regulome browser publication-title: Front. Genet. doi: 10.3389/fgene.2017.00013 – volume: 3 start-page: 1017 year: 2021 ident: 10.1016/j.cmet.2022.09.013_bib35 article-title: Multi-omics profiling of living human pancreatic islet donors reveals heterogeneous beta cell trajectories towards type 2 diabetes publication-title: Nat. Metab. doi: 10.1038/s42255-021-00420-9 |
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Title | Understanding islet dysfunction in type 2 diabetes through multidimensional pancreatic phenotyping: The Human Pancreas Analysis Program |
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