Literature DB >> 24679522

Every cell is special: genome-wide studies add a new dimension to single-cell biology.

Jan Philipp Junker1, Alexander van Oudenaarden2.   

Abstract

Single-cell analyses have provided invaluable insights into studying heterogenity, signaling, and stochastic gene expression. Recent technological advances now open the door to genome-wide single-cell studies.
Copyright © 2014 Elsevier Inc. All rights reserved.

Mesh：

Year:  2014        PMID： 24679522     DOI： 10.1016/j.cell.2014.02.010

Source DB:  PubMed          Journal:  Cell        ISSN： 0092-8674            Impact factor:   41.582


  71 in total

Review 1.  Spatially resolved transcriptomics and beyond.

Authors:  Nicola Crosetto; Magda Bienko; Alexander van Oudenaarden
Journal:  Nat Rev Genet       Date:  2014-12-02       Impact factor: 53.242

Review 2.  Function and information content of DNA methylation.

Authors:  Dirk Schübeler
Journal:  Nature       Date:  2015-01-15       Impact factor: 49.962

3.  Immunology, one cell at a time.

Authors:  Amir Giladi; Ido Amit
Journal:  Nature       Date:  2017-07-03       Impact factor: 49.962

4.  Single-minded CRISPR screening.

Authors:  Bryan R Lanning; Christopher R Vakoc
Journal:  Nat Biotechnol       Date:  2017-04-11       Impact factor: 54.908

Review 5.  Recent advances in the use of microfluidic technologies for single cell analysis.

Authors:  Travis W Murphy; Qiang Zhang; Lynette B Naler; Sai Ma; Chang Lu
Journal:  Analyst       Date:  2017-12-18       Impact factor: 4.616

6.  Inferring Relevant Cell Types for Complex Traits by Using Single-Cell Gene Expression.

Authors:  Diego Calderon; Anand Bhaskar; David A Knowles; David Golan; Towfique Raj; Audrey Q Fu; Jonathan K Pritchard
Journal:  Am J Hum Genet       Date:  2017-10-26       Impact factor: 11.025

Review 7.  CRISPR/Cas9 library screening for drug target discovery.

Authors:  Morito Kurata; Kouhei Yamamoto; Branden S Moriarity; Masanobu Kitagawa; David A Largaespada
Journal:  J Hum Genet       Date:  2017-11-20       Impact factor: 3.172

8.  Boosting the power of single-cell analysis.

Authors:  Lu Wen; Fuchou Tang
Journal:  Nat Biotechnol       Date:  2018-05-09       Impact factor: 54.908

9.  Constraining the complexity of promoter dynamics using fluctuations in gene expression.

Authors:  Niraj Kumar; Rahul V Kulkarni
Journal:  Phys Biol       Date:  2019-11-05       Impact factor: 2.583

10.  SOD1 aggregation in ALS mice shows simplistic test tube behavior.

Authors:  Lisa Lang; Per Zetterström; Thomas Brännström; Stefan L Marklund; Jens Danielsson; Mikael Oliveberg
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-28       Impact factor: 11.205
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