11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Single-cell resolution analysis of the human pancreatic ductal progenitor cell niche

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Significance

          The existence of progenitors within pancreatic ducts has been studied for decades, but the hypothesis that they may help regenerate the adult endocrine compartment (chiefly insulin-producing β-cells) remains contentious. Here, we examine the single-cell transcriptome of the human ductal tree. Our data confirm the paradigm-shifting notion that specific lineages, long thought to be cast in stone, are in fact in a state of flux between differentiation stages. In addition to pro-ductal and pro-acinar transcriptomic gradients, our analysis suggests the existence of a third (ducto-endocrine) differentiation axis. Such prediction was experimentally validated by transplanting sorted progenitor-like cells, which revealed their tri-lineage differentiation potential. Our findings further indicate that progenitors might be activated in situ for therapeutic purposes.

          Abstract

          We have described multipotent progenitor-like cells within the major pancreatic ducts (MPDs) of the human pancreas. They express PDX1, its surrogate surface marker P2RY1, and the bone morphogenetic protein (BMP) receptor 1A (BMPR1A)/activin-like kinase 3 (ALK3), but not carbonic anhydrase II (CAII). Here we report the single-cell RNA sequencing (scRNA-seq) of ALK3 bright+-sorted ductal cells, a fraction that harbors BMP-responsive progenitor-like cells. Our analysis unveiled the existence of multiple subpopulations along two major axes, one that encompasses a gradient of ductal cell differentiation stages, and another featuring cells with transitional phenotypes toward acinar tissue. A third potential ducto-endocrine axis is revealed upon integration of the ALK3 bright+ dataset with a single-cell whole-pancreas transcriptome. When transplanted into immunodeficient mice, P2RY1 +/ALK3 bright+ populations (enriched in PDX1 +/ALK3 +/CAII cells) differentiate into all pancreatic lineages, including functional β-cells. This process is accelerated when hosts are treated systemically with an ALK3 agonist. We found PDX1 +/ALK3 +/CAII progenitor-like cells in the MPDs of types 1 and 2 diabetes donors, regardless of the duration of the disease. Our findings open the door to the pharmacological activation of progenitor cells in situ.

          Related collections

          Most cited references57

          • Record: found
          • Abstract: found
          • Article: not found

          A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure.

          Although the function of the mammalian pancreas hinges on complex interactions of distinct cell types, gene expression profiles have primarily been described with bulk mixtures. Here we implemented a droplet-based, single-cell RNA-seq method to determine the transcriptomes of over 12,000 individual pancreatic cells from four human donors and two mouse strains. Cells could be divided into 15 clusters that matched previously characterized cell types: all endocrine cell types, including rare epsilon-cells; exocrine cell types; vascular cells; Schwann cells; quiescent and activated stellate cells; and four types of immune cells. We detected subpopulations of ductal cells with distinct expression profiles and validated their existence with immuno-histochemistry stains. Moreover, among human beta- cells, we detected heterogeneity in the regulation of genes relating to functional maturation and levels of ER stress. Finally, we deconvolved bulk gene expression samples using the single-cell data to detect disease-associated differential expression. Our dataset provides a resource for the discovery of novel cell type-specific transcription factors, signaling receptors, and medically relevant genes.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Reversal of diabetes with insulin-producing cells derived in vitro from human pluripotent stem cells.

            Transplantation of pancreatic progenitors or insulin-secreting cells derived from human embryonic stem cells (hESCs) has been proposed as a therapy for diabetes. We describe a seven-stage protocol that efficiently converts hESCs into insulin-producing cells. Stage (S) 7 cells expressed key markers of mature pancreatic beta cells, including MAFA, and displayed glucose-stimulated insulin secretion similar to that of human islets during static incubations in vitro. Additional characterization using single-cell imaging and dynamic glucose stimulation assays revealed similarities but also notable differences between S7 insulin-secreting cells and primary human beta cells. Nevertheless, S7 cells rapidly reversed diabetes in mice within 40 days, roughly four times faster than pancreatic progenitors. Therefore, although S7 cells are not fully equivalent to mature beta cells, their capacity for glucose-responsive insulin secretion and rapid reversal of diabetes in vivo makes them a promising alternative to pancreatic progenitor cells or cadaveric islets for the treatment of diabetes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found
              Is Open Access

              A Single-Cell Transcriptome Atlas of the Human Pancreas

              Summary To understand organ function, it is important to have an inventory of its cell types and of their corresponding marker genes. This is a particularly challenging task for human tissues like the pancreas, because reliable markers are limited. Hence, transcriptome-wide studies are typically done on pooled islets of Langerhans, obscuring contributions from rare cell types and of potential subpopulations. To overcome this challenge, we developed an automated platform that uses FACS, robotics, and the CEL-Seq2 protocol to obtain the transcriptomes of thousands of single pancreatic cells from deceased organ donors, allowing in silico purification of all main pancreatic cell types. We identify cell type-specific transcription factors and a subpopulation of REG3A-positive acinar cells. We also show that CD24 and TM4SF4 expression can be used to sort live alpha and beta cells with high purity. This resource will be useful for developing a deeper understanding of pancreatic biology and pathophysiology of diabetes mellitus.
                Bookmark

                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                19 May 2020
                30 April 2020
                30 April 2020
                : 117
                : 20
                : 10876-10887
                Affiliations
                [1] aDiabetes Research Institute, University of Miami Miller School of Medicine , Miami, FL 33136;
                [2] bDepartment of Cell Biology and Anatomy, University of Miami Miller School of Medicine , Miami, FL 33136;
                [3] cInstituut voor Life Science & Technology, Hanze University of Applied Sciences , 9747 AS Groningen, The Netherlands;
                [4] dVrije Universiteit Medisch Centrum School of Medical Sciences, Vrije Universiteit Amsterdam , 1081 HV Amsterdam, The Netherlands;
                [5] eFacultad de Medicina, Universidad Francisco de Vitoria , 28223 Madrid, Spain;
                [6] fDepartment of Electrical and Computer Engineering, University of Miami , Coral Gables, FL 33146;
                [7] gDepartment of Biomedical Informatics, University of Utah , Salt Lake City, UT 84108;
                [8] hDepartment of Surgery, University of Miami Miller School of Medicine , Miami, FL 33136;
                [9] iDepartment of Microbiology & Immunology, University of Miami Miller School of Medicine , Miami, FL 33136;
                [10] jDepartment of Biomedical Engineering, University of Miami Miller School of Medicine , Miami, FL 33136;
                [12] kDepartment of Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Miami Miller School of Medicine , Miami, FL 33136;
                [11] lThe Dr. John T. Macdonald Foundation Department of Human Genetics, John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine , Miami, FL 33136
                Author notes
                2To whom correspondence may be addressed. Email: RPastori@ 123456med.miami.edu or jdominguez2@ 123456med.miami.edu .

                Edited by Alejandro Sánchez Alvarado, HHMI and Stowers Institute for Medical Research, Kansas City, MO, and approved March 26, 2020 (received for review October 22, 2019)

                Author contributions: M.M.F.Q., C.R., R.L.P., and J.D.-B. designed research; M.M.F.Q., S.Á.-C., D.K., J.v.D., R.M.-A., Y.B.M.-H., G.L., B.N.-R., M.T.G., Á.D., K.J., R.L.P., and J.D.-B. performed research; M.M.F.Q., S.Á.-C., D.K., J.v.D., R.M.-A., Y.B.M.-H., G.L., S.S., B.N.-R., D.S., C.R., A.G., R.L.P., and J.D.-B. analyzed data; and M.M.F.Q., R.L.P., and J.D.-B. wrote the paper.

                1M.M.F.Q. and S.Á.-C. contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-6764-6151
                https://orcid.org/0000-0001-9823-4312
                https://orcid.org/0000-0003-3954-0242
                https://orcid.org/0000-0001-7372-9896
                https://orcid.org/0000-0001-9410-9143
                Article
                201918314
                10.1073/pnas.1918314117
                7245071
                32354994
                8d1151de-2e4d-4269-92d4-28e60e1b15e1
                Copyright © 2020 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 12
                Funding
                Funded by: American Diabetes Association Research Foundation 100000963
                Award ID: #1-19-ICTS-078
                Award Recipient : Silvia Alvarez Award Recipient : Dagmar Klein Award Recipient : Ricardo L Pastori Award Recipient : Juan Dominguez-Bendala
                Funded by: HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) 100000062
                Award ID: U01DK120393
                Award Recipient : Silvia Alvarez Award Recipient : Dagmar Klein Award Recipient : Ricardo L Pastori Award Recipient : Juan Dominguez-Bendala
                Funded by: HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) 100000062
                Award ID: 1R43DK105655-01
                Award Recipient : Silvia Alvarez Award Recipient : Dagmar Klein Award Recipient : Ricardo L Pastori Award Recipient : Juan Dominguez-Bendala
                Funded by: HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) 100000062
                Award ID: 2R44 DK105655-02
                Award Recipient : Silvia Alvarez Award Recipient : Dagmar Klein Award Recipient : Ricardo L Pastori Award Recipient : Juan Dominguez-Bendala
                Funded by: Diabetes Research Institute Foundation (DRIF) 100001078
                Award ID: NO GRANT NUMBER
                Award Recipient : Mirza Muhammad Fahd Qadir Award Recipient : Silvia Alvarez Award Recipient : Dagmar Klein Award Recipient : Jasmijn Van Dijk Award Recipient : Rocio Muniz-Anquela Award Recipient : Yaisa Moreno-Hernandez Award Recipient : Giacomo Lanzoni Award Recipient : Maria Belen Navarro-Rubio Award Recipient : Michael Thomas Garcia Award Recipient : Angela Diaz Award Recipient : Kevin Johnson Award Recipient : Camillo Ricordi Award Recipient : Ricardo L Pastori Award Recipient : Juan Dominguez-Bendala
                Categories
                Biological Sciences
                Cell Biology

                human pancreatic progenitors,type 1 diabetes,islet regeneration,transplantation,single-cell rna sequencing

                Comments

                Comment on this article