Literature DB >> 28049689

Understanding development and stem cells using single cell-based analyses of gene expression.

Pavithra Kumar1, Yuqi Tan1, Patrick Cahan2.   

Abstract

In recent years, genome-wide profiling approaches have begun to uncover the molecular programs that drive developmental processes. In particular, technical advances that enable genome-wide profiling of thousands of individual cells have provided the tantalizing prospect of cataloging cell type diversity and developmental dynamics in a quantitative and comprehensive manner. Here, we review how single-cell RNA sequencing has provided key insights into mammalian developmental and stem cell biology, emphasizing the analytical approaches that are specific to studying gene expression in single cells.
© 2017. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Computational biology; Gene regulatory networks; Pseudotime; RNA-Seq; Single cell; Stem cells

Mesh:

Year:  2017        PMID: 28049689      PMCID: PMC5278625          DOI: 10.1242/dev.133058

Source DB:  PubMed          Journal:  Development        ISSN: 0950-1991            Impact factor:   6.868


  130 in total

1.  Linking the T cell receptor to the single cell transcriptome in antigen-specific human T cells.

Authors:  Auda A Eltahla; Simone Rizzetto; Mehdi R Pirozyan; Brigid D Betz-Stablein; Vanessa Venturi; Katherine Kedzierska; Andrew R Lloyd; Rowena A Bull; Fabio Luciani
Journal:  Immunol Cell Biol       Date:  2016-02-10       Impact factor: 5.126

2.  Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development.

Authors:  Sean C Bendall; Kara L Davis; El-Ad David Amir; Michelle D Tadmor; Erin F Simonds; Tiffany J Chen; Daniel K Shenfeld; Garry P Nolan; Dana Pe'er
Journal:  Cell       Date:  2014-04-24       Impact factor: 41.582

Review 3.  Computational and analytical challenges in single-cell transcriptomics.

Authors:  Oliver Stegle; Sarah A Teichmann; John C Marioni
Journal:  Nat Rev Genet       Date:  2015-01-28       Impact factor: 53.242

4.  Tracing the derivation of embryonic stem cells from the inner cell mass by single-cell RNA-Seq analysis.

Authors:  Fuchou Tang; Catalin Barbacioru; Siqin Bao; Caroline Lee; Ellen Nordman; Xiaohui Wang; Kaiqin Lao; M Azim Surani
Journal:  Cell Stem Cell       Date:  2010-05-07       Impact factor: 24.633

Review 5.  Systems biology of stem cell fate and cellular reprogramming.

Authors:  Ben D Macarthur; Avi Ma'ayan; Ihor R Lemischka
Journal:  Nat Rev Mol Cell Biol       Date:  2009-09-09       Impact factor: 94.444

Review 6.  The glial nature of embryonic and adult neural stem cells.

Authors:  Arnold Kriegstein; Arturo Alvarez-Buylla
Journal:  Annu Rev Neurosci       Date:  2009       Impact factor: 12.449

7.  destiny: diffusion maps for large-scale single-cell data in R.

Authors:  Philipp Angerer; Laleh Haghverdi; Maren Büttner; Fabian J Theis; Carsten Marr; Florian Buettner
Journal:  Bioinformatics       Date:  2015-12-14       Impact factor: 6.937

8.  Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity.

Authors:  Christof Angermueller; Stephen J Clark; Heather J Lee; Iain C Macaulay; Mabel J Teng; Tim Xiaoming Hu; Felix Krueger; Sebastien Smallwood; Chris P Ponting; Thierry Voet; Gavin Kelsey; Oliver Stegle; Wolf Reik
Journal:  Nat Methods       Date:  2016-01-11       Impact factor: 28.547

9.  MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.

Authors:  Greg Finak; Andrew McDavid; Masanao Yajima; Jingyuan Deng; Vivian Gersuk; Alex K Shalek; Chloe K Slichter; Hannah W Miller; M Juliana McElrath; Martin Prlic; Peter S Linsley; Raphael Gottardo
Journal:  Genome Biol       Date:  2015-12-10       Impact factor: 13.583

10.  De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data.

Authors:  Dominic Grün; Mauro J Muraro; Jean-Charles Boisset; Kay Wiebrands; Anna Lyubimova; Gitanjali Dharmadhikari; Maaike van den Born; Johan van Es; Erik Jansen; Hans Clevers; Eelco J P de Koning; Alexander van Oudenaarden
Journal:  Cell Stem Cell       Date:  2016-06-23       Impact factor: 24.633

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  37 in total

1.  Molecular architecture of lineage allocation and tissue organization in early mouse embryo.

Authors:  Guangdun Peng; Shengbao Suo; Guizhong Cui; Fang Yu; Ran Wang; Jun Chen; Shirui Chen; Zhiwen Liu; Guoyu Chen; Yun Qian; Patrick P L Tam; Jing-Dong J Han; Naihe Jing
Journal:  Nature       Date:  2019-08-07       Impact factor: 49.962

Review 2.  Assembling the adipose organ: adipocyte lineage segregation and adipogenesis in vivo.

Authors:  Zachary L Sebo; Matthew S Rodeheffer
Journal:  Development       Date:  2019-04-04       Impact factor: 6.868

Review 3.  Single-Cell RNA Sequencing: Unraveling the Brain One Cell at a Time.

Authors:  Dimitry Ofengeim; Nikolaos Giagtzoglou; Dann Huh; Chengyu Zou; Junying Yuan
Journal:  Trends Mol Med       Date:  2017-05-10       Impact factor: 11.951

4.  Mapping Distinct Bone Marrow Niche Populations and Their Differentiation Paths.

Authors:  Samuel L Wolock; Indira Krishnan; Danielle E Tenen; Victoria Matkins; Virginia Camacho; Sweta Patel; Puneet Agarwal; Ravi Bhatia; Daniel G Tenen; Allon M Klein; Robert S Welner
Journal:  Cell Rep       Date:  2019-07-09       Impact factor: 9.423

5.  Inferring Multidimensional Rates of Aging from Cross-Sectional Data.

Authors:  Emma Pierson; Pang Wei Koh; Tatsunori Hashimoto; Daphne Koller; Jure Leskovec; Nicholas Eriksson; Percy Liang
Journal:  Proc Mach Learn Res       Date:  2019-04

6.  A Novel Approach to Single Cell RNA-Sequence Analysis Facilitates In Silico Gene Reporting of Human Pluripotent Stem Cell-Derived Retinal Cell Types.

Authors:  M Joseph Phillips; Peng Jiang; Sara Howden; Patrick Barney; Jee Min; Nathaniel W York; Li-Fang Chu; Elizabeth E Capowski; Abigail Cash; Shivani Jain; Katherine Barlow; Tasnia Tabassum; Ron Stewart; Bikash R Pattnaik; James A Thomson; David M Gamm
Journal:  Stem Cells       Date:  2017-12-25       Impact factor: 6.277

7.  Single-cell transcriptome sequencing reveals that cell division cycle 5-like protein is essential for porcine oocyte maturation.

Authors:  Xiao-Man Liu; Yan-Kui Wang; Yun-Hua Liu; Xiao-Xia Yu; Pei-Chao Wang; Xuan Li; Zhi-Qiang Du; Cai-Xia Yang
Journal:  J Biol Chem       Date:  2017-12-08       Impact factor: 5.157

Review 8.  Programming Morphogenesis through Systems and Synthetic Biology.

Authors:  Jeremy J Velazquez; Emily Su; Patrick Cahan; Mo R Ebrahimkhani
Journal:  Trends Biotechnol       Date:  2017-12-08       Impact factor: 19.536

9.  In vivo response of xanthosine on mammary gene expression of lactating Beetal goat.

Authors:  Ratan K Choudhary; Shanti Choudhary; Ramneek Verma
Journal:  Mol Biol Rep       Date:  2018-05-26       Impact factor: 2.316

10.  SingleCellNet: A Computational Tool to Classify Single Cell RNA-Seq Data Across Platforms and Across Species.

Authors:  Yuqi Tan; Patrick Cahan
Journal:  Cell Syst       Date:  2019-07-31       Impact factor: 10.304

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