Issue 10, 2015

Reconstructing and analysing cellular states, space and time from gene expression profiles of many cells and single cells

Abstract

Genome-wide gene expression profiling is a fast, cheap and standardised analysis that provides a high dimensional measurement of the state of a biological sample. In this review we describe computational methods that can be applied to identify and interpret sources of variance in gene expression in whole organisms, organs, tissues or single cells. This allows the identification of constituent cell types and states in complex mixtures, the reconstruction of temporal trajectories of development, differentiation and progression, and the reconstruction of spatial patterning. When applied to genetically variable samples, these methods allow the efficient investigation of how genetic variation influences gene expression and biological processes in space and time.

Graphical abstract: Reconstructing and analysing cellular states, space and time from gene expression profiles of many cells and single cells

Article information

Article type
Review Article
Submitted
15 五月 2015
Accepted
01 八月 2015
First published
05 八月 2015

Mol. BioSyst., 2015,11, 2690-2698

Reconstructing and analysing cellular states, space and time from gene expression profiles of many cells and single cells

M. Francesconi and B. Lehner, Mol. BioSyst., 2015, 11, 2690 DOI: 10.1039/C5MB00339C

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Spotlight

Advertisements