Literature DB >> 28802263

Symposium on single cell analysis and genomic approaches, Experimental Biology 2017 Chicago, Illinois, April 23, 2017.

Hilary A Coller1.   

Abstract

Emerging technologies for the analysis of genome-wide information in single cells have the potential to transform many fields of biology, including our understanding of cell states, the response of cells to external stimuli, mosaicism, and intratumor heterogeneity. At Experimental Biology 2017 in Chicago, Physiological Genomics hosted a symposium in which five leaders in the field of single cell genomics presented their recent research. The speakers discussed emerging methodologies in single cell analysis and critical issues for the analysis of single cell data. Also discussed were applications of single cell genomics to understanding the different types of cells within an organism or tissue and the basis for cell-to-cell variability in response to stimuli.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  batch effects; noise; phase separation; single cell analysis; transcriptome in vivo analysis (TIVA)

Mesh:

Year:  2017        PMID: 28802263      PMCID: PMC5625270          DOI: 10.1152/physiolgenomics.00049.2017

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   4.297


  25 in total

1.  Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing.

Authors:  Dmitry Usoskin; Alessandro Furlan; Saiful Islam; Hind Abdo; Peter Lönnerberg; Daohua Lou; Jens Hjerling-Leffler; Jesper Haeggström; Olga Kharchenko; Peter V Kharchenko; Sten Linnarsson; Patrik Ernfors
Journal:  Nat Neurosci       Date:  2014-11-24       Impact factor: 24.884

2.  Stress-Triggered Phase Separation Is an Adaptive, Evolutionarily Tuned Response.

Authors:  Joshua A Riback; Christopher D Katanski; Jamie L Kear-Scott; Evgeny V Pilipenko; Alexandra E Rojek; Tobin R Sosnick; D Allan Drummond
Journal:  Cell       Date:  2017-03-09       Impact factor: 41.582

3.  Tumour evolution inferred by single-cell sequencing.

Authors:  Nicholas Navin; Jude Kendall; Jennifer Troge; Peter Andrews; Linda Rodgers; Jeanne McIndoo; Kerry Cook; Asya Stepansky; Dan Levy; Diane Esposito; Lakshmi Muthuswamy; Alex Krasnitz; W Richard McCombie; James Hicks; Michael Wigler
Journal:  Nature       Date:  2011-03-13       Impact factor: 49.962

Review 4.  Determining biological noise via single cell analysis.

Authors:  Edgar A Arriaga
Journal:  Anal Bioanal Chem       Date:  2008-10-29       Impact factor: 4.142

Review 5.  Defining cell types and states with single-cell genomics.

Authors:  Cole Trapnell
Journal:  Genome Res       Date:  2015-10       Impact factor: 9.043

6.  A Big Bang model of human colorectal tumor growth.

Authors:  Andrea Sottoriva; Haeyoun Kang; Zhicheng Ma; Trevor A Graham; Matthew P Salomon; Junsong Zhao; Paul Marjoram; Kimberly Siegmund; Michael F Press; Darryl Shibata; Christina Curtis
Journal:  Nat Genet       Date:  2015-02-09       Impact factor: 38.330

7.  Virtual microfluidics for digital quantification and single-cell sequencing.

Authors:  Liyi Xu; Ilana L Brito; Eric J Alm; Paul C Blainey
Journal:  Nat Methods       Date:  2016-08-01       Impact factor: 28.547

8.  Batch effects and the effective design of single-cell gene expression studies.

Authors:  Po-Yuan Tung; John D Blischak; Chiaowen Joyce Hsiao; David A Knowles; Jonathan E Burnett; Jonathan K Pritchard; Yoav Gilad
Journal:  Sci Rep       Date:  2017-01-03       Impact factor: 4.379

9.  Clonal evolution in breast cancer revealed by single nucleus genome sequencing.

Authors:  Yong Wang; Jill Waters; Marco L Leung; Anna Unruh; Whijae Roh; Xiuqing Shi; Ken Chen; Paul Scheet; Selina Vattathil; Han Liang; Asha Multani; Hong Zhang; Rui Zhao; Franziska Michor; Funda Meric-Bernstam; Nicholas E Navin
Journal:  Nature       Date:  2014-07-30       Impact factor: 49.962

10.  New library construction method for single-cell genomes.

Authors:  Larry Xi; Alexander Belyaev; Sandra Spurgeon; Xiaohui Wang; Haibiao Gong; Robert Aboukhalil; Richard Fekete
Journal:  PLoS One       Date:  2017-07-19       Impact factor: 3.240

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