Literature DB >> 26803530

The mechanisms shaping the single-cell transcriptional landscape.

Celia Pilar Martinez-Jimenez1, Duncan T Odom2.   

Abstract

Recent technological and computational advances in understanding the transcriptional and chromatin features of single cells have begun answering longstanding questions in the extent and impact of biological heterogeneity. Here, we outline the intrinsic and extrinsic mechanisms that underlie the transcriptional and functional diversity within superficially homogeneous populations, and we discuss how fascinating new studies have afforded novel insight into each mechanism. The studies are chosen in part to include initial reports of novel functional genomics tools where the eventual applications will clearly have profound impact on our understanding the dynamics of cell-to-cell transcriptional variation-from individual cells to whole organisms.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 26803530     DOI: 10.1016/j.gde.2015.11.004

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  4 in total

1.  SMCHD1 Merges Chromosome Compartments and Assists Formation of Super-Structures on the Inactive X.

Authors:  Chen-Yu Wang; Teddy Jégu; Hsueh-Ping Chu; Hyun Jung Oh; Jeannie T Lee
Journal:  Cell       Date:  2018-06-07       Impact factor: 41.582

2.  Aging increases cell-to-cell transcriptional variability upon immune stimulation.

Authors:  Celia Pilar Martinez-Jimenez; Nils Eling; Hung-Chang Chen; Catalina A Vallejos; Aleksandra A Kolodziejczyk; Frances Connor; Lovorka Stojic; Timothy F Rayner; Michael J T Stubbington; Sarah A Teichmann; Maike de la Roche; John C Marioni; Duncan T Odom
Journal:  Science       Date:  2017-03-31       Impact factor: 47.728

3.  The evolution of the macrophage-specific enhancer (Fms intronic regulatory element) within the CSF1R locus of vertebrates.

Authors:  David A Hume; Evi Wollscheid-Lengeling; Rocio Rojo; Clare Pridans
Journal:  Sci Rep       Date:  2017-12-07       Impact factor: 4.379

4.  Cellular network modeling and single cell gene expression analysis reveals novel hepatic stellate cell phenotypes controlling liver regeneration dynamics.

Authors:  Daniel Cook; Sirisha Achanta; Jan B Hoek; Babatunde A Ogunnaike; Rajanikanth Vadigepalli
Journal:  BMC Syst Biol       Date:  2018-10-03
  4 in total

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