Literature DB >> 35733248

Single-cell transcriptome and accessible chromatin dynamics during endocrine pancreas development.

Eliza Duvall1, Cecil M Benitez2, Krissie Tellez2, Martin Enge3, Philip T Pauerstein2, Lingyu Li2, Songjoon Baek1, Stephen R Quake3,4, Jason P Smith5, Nathan C Sheffield5, Seung K Kim2,6,7, H Efsun Arda1.   

Abstract

Delineating gene regulatory networks that orchestrate cell-type specification is a continuing challenge for developmental biologists. Single-cell analyses offer opportunities to address these challenges and accelerate discovery of rare cell lineage relationships and mechanisms underlying hierarchical lineage decisions. Here, we describe the molecular analysis of mouse pancreatic endocrine cell differentiation using single-cell transcriptomics, chromatin accessibility assays coupled to genetic labeling, and cytometry-based cell purification. We uncover transcription factor networks that delineate β-, α-, and δ-cell lineages. Through genomic footprint analysis, we identify transcription factor-regulatory DNA interactions governing pancreatic cell development at unprecedented resolution. Our analysis suggests that the transcription factor Neurog3 may act as a pioneer transcription factor to specify the pancreatic endocrine lineage. These findings could improve protocols to generate replacement endocrine cells from renewable sources, like stem cells, for diabetes therapy.

Entities:  

Keywords:  ATAC-seq; Neurog3; pancreas; scRNA-seq

Mesh:

Substances:

Year:  2022        PMID: 35733248      PMCID: PMC9245718          DOI: 10.1073/pnas.2201267119

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  72 in total

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Journal:  Nat Protoc       Date:  2014-01-02       Impact factor: 13.491

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Authors:  Myriam Solar; Carina Cardalda; Isabelle Houbracken; Mercè Martín; Miguel Angel Maestro; Nele De Medts; Xiaobo Xu; Vanessa Grau; Harry Heimberg; Luc Bouwens; Jorge Ferrer
Journal:  Dev Cell       Date:  2009-12       Impact factor: 12.270

3.  Extensive pancreas regeneration following acinar-specific disruption of Xbp1 in mice.

Authors:  David A Hess; Sean E Humphrey; Jeff Ishibashi; Barbara Damsz; Ann-Hwee Lee; Laurie H Glimcher; Stephen F Konieczny
Journal:  Gastroenterology       Date:  2011-06-24       Impact factor: 22.682

4.  Deciphering Pancreatic Islet β Cell and α Cell Maturation Pathways and Characteristic Features at the Single-Cell Level.

Authors:  Wei-Lin Qiu; Yu-Wei Zhang; Ye Feng; Lin-Chen Li; Liu Yang; Cheng-Ran Xu
Journal:  Cell Metab       Date:  2017-05-02       Impact factor: 27.287

5.  A global double-fluorescent Cre reporter mouse.

Authors:  Mandar Deepak Muzumdar; Bosiljka Tasic; Kazunari Miyamichi; Ling Li; Liqun Luo
Journal:  Genesis       Date:  2007-09       Impact factor: 2.487

6.  Expression of neurogenin3 reveals an islet cell precursor population in the pancreas.

Authors:  V M Schwitzgebel; D W Scheel; J R Conners; J Kalamaras; J E Lee; D J Anderson; L Sussel; J D Johnson; M S German
Journal:  Development       Date:  2000-08       Impact factor: 6.868

7.  Direct evidence for the pancreatic lineage: NGN3+ cells are islet progenitors and are distinct from duct progenitors.

Authors:  Guoqiang Gu; Jolanta Dubauskaite; Douglas A Melton
Journal:  Development       Date:  2002-05       Impact factor: 6.868

8.  Endocrine lineage biases arise in temporally distinct endocrine progenitors during pancreatic morphogenesis.

Authors:  Marissa A Scavuzzo; Matthew C Hill; Jolanta Chmielowiec; Diane Yang; Jessica Teaw; Kuanwei Sheng; Yuelin Kong; Maria Bettini; Chenghang Zong; James F Martin; Malgorzata Borowiak
Journal:  Nat Commun       Date:  2018-08-22       Impact factor: 14.919

9.  Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution.

Authors:  M Ryan Corces; Jason D Buenrostro; Beijing Wu; Peyton G Greenside; Steven M Chan; Julie L Koenig; Michael P Snyder; Jonathan K Pritchard; Anshul Kundaje; William J Greenleaf; Ravindra Majeti; Howard Y Chang
Journal:  Nat Genet       Date:  2016-08-15       Impact factor: 38.330

10.  Reversed graph embedding resolves complex single-cell trajectories.

Authors:  Xiaojie Qiu; Qi Mao; Ying Tang; Li Wang; Raghav Chawla; Hannah A Pliner; Cole Trapnell
Journal:  Nat Methods       Date:  2017-08-21       Impact factor: 47.990

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