Literature DB >> 30581120

Single-Cell RNA-Seq of the Pancreatic Islets--a Promise Not yet Fulfilled?

Yue J Wang1, Klaus H Kaestner2.   

Abstract

In the past 3 years, we have seen a flurry of publications on single-cell RNA sequencing (RNA-seq) analyses of pancreatic islets from mouse and human. This technology holds the promise to refine cell-type signatures and discover cellular heterogeneity among the canonical endocrine cell types such as the glucagon-producing α and insulin-producing β cells, going as far as suggesting new subtypes. In addition, single-cell RNA-seq has the ability to characterize rare endocrine cell types that are not captured by prior bulk analysis. With transcriptomics data from individual endocrine cells, cellular states can be profiled both along developmental processes and during the emergence of metabolic diseases. However, the promises of this new technology have not yet been met in full. While the methodology for the first time enabled the transcriptional definition of rare endocrine cell types such as ghrelin-producing ɛ cells, some of the conclusions regarding cell-type-specific gene expression changes in type 2 diabetes might need to be revisited once larger sample sizes become available. Data generation and analysis are continuously improving single-cell RNA-seq approaches and are helping us to understand the (mal)adaptations of the islet cells during development, metabolic challenge, and disease.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  islets; single-cell RNA-seq; β cell; β cell heterogeneity

Year:  2018        PMID: 30581120      PMCID: PMC6402960          DOI: 10.1016/j.cmet.2018.11.016

Source DB:  PubMed          Journal:  Cell Metab        ISSN: 1550-4131            Impact factor:   27.287


  68 in total

1.  Full-length RNA-seq from single cells using Smart-seq2.

Authors:  Simone Picelli; Omid R Faridani; Asa K Björklund; Gösta Winberg; Sven Sagasser; Rickard Sandberg
Journal:  Nat Protoc       Date:  2014-01-02       Impact factor: 13.491

2.  Reliable identification of genomic variants from RNA-seq data.

Authors:  Robert Piskol; Gokul Ramaswami; Jin Billy Li
Journal:  Am J Hum Genet       Date:  2013-09-26       Impact factor: 11.025

3.  Actively synthesizing beta-cells secrete preferentially after glucose stimulation.

Authors:  D Bosco; P Meda
Journal:  Endocrinology       Date:  1991-12       Impact factor: 4.736

4.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.

Authors:  Evan Z Macosko; Anindita Basu; Rahul Satija; James Nemesh; Karthik Shekhar; Melissa Goldman; Itay Tirosh; Allison R Bialas; Nolan Kamitaki; Emily M Martersteck; John J Trombetta; David A Weitz; Joshua R Sanes; Alex K Shalek; Aviv Regev; Steven A McCarroll
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

5.  Comparative Analysis of Single-Cell RNA Sequencing Methods.

Authors:  Christoph Ziegenhain; Beate Vieth; Swati Parekh; Björn Reinius; Amy Guillaumet-Adkins; Martha Smets; Heinrich Leonhardt; Holger Heyn; Ines Hellmann; Wolfgang Enard
Journal:  Mol Cell       Date:  2017-02-16       Impact factor: 17.970

Review 6.  Physiologic relevance of heterogeneity in the pancreatic beta-cell population.

Authors:  D Pipeleers; R Kiekens; Z Ling; A Wilikens; F Schuit
Journal:  Diabetologia       Date:  1994-09       Impact factor: 10.122

7.  Pancreatic beta cell heterogeneity in glucose-induced insulin secretion.

Authors:  C F Van Schravendijk; R Kiekens; D G Pipeleers
Journal:  J Biol Chem       Date:  1992-10-25       Impact factor: 5.157

8.  Quantitative assessment of single-cell RNA-sequencing methods.

Authors:  Angela R Wu; Norma F Neff; Tomer Kalisky; Piero Dalerba; Barbara Treutlein; Michael E Rothenberg; Francis M Mburu; Gary L Mantalas; Sopheak Sim; Michael F Clarke; Stephen R Quake
Journal:  Nat Methods       Date:  2013-10-20       Impact factor: 28.547

9.  Stochastic mRNA synthesis in mammalian cells.

Authors:  Arjun Raj; Charles S Peskin; Daniel Tranchina; Diana Y Vargas; Sanjay Tyagi
Journal:  PLoS Biol       Date:  2006-10       Impact factor: 8.029

10.  Single-cell transcriptomes identify human islet cell signatures and reveal cell-type-specific expression changes in type 2 diabetes.

Authors:  Nathan Lawlor; Joshy George; Mohan Bolisetty; Romy Kursawe; Lili Sun; V Sivakamasundari; Ina Kycia; Paul Robson; Michael L Stitzel
Journal:  Genome Res       Date:  2016-11-18       Impact factor: 9.043

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  35 in total

1.  Discordance between GLP-1R gene and protein expression in mouse pancreatic islet cells.

Authors:  Sarah M Gray; Yurong Xin; Elizabeth C Ross; Bryanna M Chazotte; Megan E Capozzi; Kimberley El; Berit Svendsen; Peter Ravn; Kyle W Sloop; Jenny Tong; Jesper Gromada; Jonathan E Campbell; David A D'Alessio
Journal:  J Biol Chem       Date:  2020-06-18       Impact factor: 5.157

2.  Myt Transcription Factors Prevent Stress-Response Gene Overactivation to Enable Postnatal Pancreatic β Cell Proliferation, Function, and Survival.

Authors:  Ruiying Hu; Emily Walker; Chen Huang; Yanwen Xu; Chen Weng; Gillian E Erickson; Anastasia Coldren; Xiaodun Yang; Marcela Brissova; Irina Kaverina; Appakalai N Balamurugan; Christopher V E Wright; Yan Li; Roland Stein; Guoqiang Gu
Journal:  Dev Cell       Date:  2020-04-30       Impact factor: 12.270

Review 3.  NIH Initiative to Improve Understanding of the Pancreas, Islet, and Autoimmunity in Type 1 Diabetes: The Human Pancreas Analysis Program (HPAP).

Authors:  Klaus H Kaestner; Alvin C Powers; Ali Naji; Mark A Atkinson
Journal:  Diabetes       Date:  2019-05-24       Impact factor: 9.461

Review 4.  Epigenetics in β-cell adaptation and type 2 diabetes.

Authors:  Hyunki Kim; Rohit N Kulkarni
Journal:  Curr Opin Pharmacol       Date:  2020-11-21       Impact factor: 5.547

Review 5.  The supply chain of human pancreatic β cell lines.

Authors:  Raphael Scharfmann; Willem Staels; Olivier Albagli
Journal:  J Clin Invest       Date:  2019-09-03       Impact factor: 14.808

6.  Patch-Seq Links Single-Cell Transcriptomes to Human Islet Dysfunction in Diabetes.

Authors:  Joan Camunas-Soler; Xiao-Qing Dai; Yan Hang; Austin Bautista; James Lyon; Kunimasa Suzuki; Seung K Kim; Stephen R Quake; Patrick E MacDonald
Journal:  Cell Metab       Date:  2020-04-16       Impact factor: 27.287

Review 7.  Pancreatic β-cells in type 1 and type 2 diabetes mellitus: different pathways to failure.

Authors:  Décio L Eizirik; Lorenzo Pasquali; Miriam Cnop
Journal:  Nat Rev Endocrinol       Date:  2020-05-12       Impact factor: 43.330

8.  Human Islets Contain a Beta Cell Type That Expresses Proinsulin But Not the Enzyme That Converts the Precursor to Insulin.

Authors:  Gladys Teitelman
Journal:  J Histochem Cytochem       Date:  2020-10       Impact factor: 2.479

9.  Effects of long-acting GIP, xenin and oxyntomodulin peptide analogues on alpha-cell transdifferentiation in insulin-deficient diabetic GluCreERT2;ROSA26-eYFP mice.

Authors:  Dipak Sarnobat; R Charlotte Moffett; Victor A Gault; Neil Tanday; Frank Reimann; Fiona M Gribble; Peter R Flatt; Nigel Irwin
Journal:  Peptides       Date:  2019-11-16       Impact factor: 3.750

10.  Urinary Single-Cell Profiling Captures the Cellular Diversity of the Kidney.

Authors:  Amin Abedini; Yuan O Zhu; Shatakshee Chatterjee; Gabor Halasz; Kishor Devalaraja-Narashimha; Rojesh Shrestha; Michael S Balzer; Jihwan Park; Tong Zhou; Ziyuan Ma; Katie Marie Sullivan; Hailong Hu; Xin Sheng; Hongbo Liu; Yi Wei; Carine M Boustany-Kari; Uptal Patel; Salem Almaani; Matthew Palmer; Raymond Townsend; Shira Blady; Jonathan Hogan; Lori Morton; Katalin Susztak
Journal:  J Am Soc Nephrol       Date:  2021-02-02       Impact factor: 10.121

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