Single-cell omics

Recent technological advances are providing unprecedented opportunities to analyse the complexities of biological systems at the single-cell level. Various crucial biological phenomena are either invisible or only partially characterized when interrogated using standard analyses that average data across a bulk population of cells. However, high-throughput analyses of the genomes, transcriptomes and proteomes of single cells are providing novel and important insights into diverse processes such as development, gene-expression dynamics, tissue heterogeneity and disease pathogenesis.


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2017

June 2017 Volume 18 No 6

Scaling by shrinking: empowering single-cell 'omics' with microfluidic devices

Sanjay M. Prakadan, Alex K. Shalek & David A. Weitz

doi:10.1038/nrg.2017.15

April 2017 Volume 18 No 4

Building a lineage from single cells: genetic techniques for cell lineage tracking

Mollie B. Woodworth, Kelly M. Girskis & Christopher A. Walsh

doi:10.1038/nrg.2016.159

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2016

March 2016 Volume 17 No 3

Single-cell genome sequencing: current state of the science

Charles Gawad, Winston Koh & Stephen R. Quake

doi:10.1038/nrg.2015.16

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2015

December 2015 Volume 16 No 12

Single-cell epigenomics: techniques and emerging applications

Omer Schwartzman & Amos Tanay

doi:10.1038/nrg3980

March 2015 Volume 16 No 3

Computational and analytical challenges in single-cell transcriptomics

Oliver Stegle, Sarah A. Teichmann & John C. Marioni

doi:10.1038/nrg3833

January 2015 Volume 16 No 1

Single-cell and multivariate approaches in genetic perturbation screens

Prisca Liberali, Berend Snijder & Lucas Pelkmans

doi:10.1038/nrg3768

January 2015 Volume 16 No 1

Spatially resolved transcriptomics and beyond

Nicola Crosetto, Magda Bienko & Alexander van Oudenaarden

doi:10.1038/nrg3832

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2014

September 2014 Volume 15 No 9

Recent advances in genomic DNA sequencing of microbial species from single cells

Roger S. Lasken & Jeffrey S. McLean

doi:10.1038/nrg3785

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2013

September 2013 Volume 14 No 9

Single-cell sequencing-based technologies will revolutionize whole-organism science

Ehud Shapiro, Tamir Biezuner & Sten Linnarsson

doi:10.1038/nrg3542

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2009

September 2009 Volume 10 No 9

Microfluidic devices for measuring gene network dynamics in single cells

Matthew R. Bennett & Jeff Hasty

doi:10.1038/nrg2625