Multi-Omics of Single Cells: Strategies and Applications

Most genome-wide assays provide averages across large numbers of cells, but recent technological advances promise to overcome this limitation. Pioneering single-cell assays are now available for genome, epigenome, transcriptome, proteome, and metabolome profiling. Here, we describe how these differe...

Descripción completa

Detalles Bibliográficos
Autores principales: Bock, Christoph, Farlik, Matthias, Sheffield, Nathan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Publishers 2016
Materias:
Forum
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959511/
https://www.ncbi.nlm.nih.gov/pubmed/27212022
http://dx.doi.org/10.1016/j.tibtech.2016.04.004
_version_ 1782444408787959808
author Bock, Christoph
Farlik, Matthias
Sheffield, Nathan C.
author_facet Bock, Christoph
Farlik, Matthias
Sheffield, Nathan C.
author_sort Bock, Christoph
collection PubMed
description Most genome-wide assays provide averages across large numbers of cells, but recent technological advances promise to overcome this limitation. Pioneering single-cell assays are now available for genome, epigenome, transcriptome, proteome, and metabolome profiling. Here, we describe how these different dimensions can be combined into multi-omics assays that provide comprehensive profiles of the same cell.
format Online
Article
Text
id pubmed-4959511
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Elsevier Science Publishers
record_format MEDLINE/PubMed
spelling pubmed-49595112016-08-01 Multi-Omics of Single Cells: Strategies and Applications Bock, Christoph Farlik, Matthias Sheffield, Nathan C. Trends Biotechnol Forum Most genome-wide assays provide averages across large numbers of cells, but recent technological advances promise to overcome this limitation. Pioneering single-cell assays are now available for genome, epigenome, transcriptome, proteome, and metabolome profiling. Here, we describe how these different dimensions can be combined into multi-omics assays that provide comprehensive profiles of the same cell. Elsevier Science Publishers 2016-08 /pmc/articles/PMC4959511/ /pubmed/27212022 http://dx.doi.org/10.1016/j.tibtech.2016.04.004 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Forum
Bock, Christoph
Farlik, Matthias
Sheffield, Nathan C.
Multi-Omics of Single Cells: Strategies and Applications
title Multi-Omics of Single Cells: Strategies and Applications
title_full Multi-Omics of Single Cells: Strategies and Applications
title_fullStr Multi-Omics of Single Cells: Strategies and Applications
title_full_unstemmed Multi-Omics of Single Cells: Strategies and Applications
title_short Multi-Omics of Single Cells: Strategies and Applications
title_sort multi-omics of single cells: strategies and applications
topic Forum
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959511/
https://www.ncbi.nlm.nih.gov/pubmed/27212022
http://dx.doi.org/10.1016/j.tibtech.2016.04.004
work_keys_str_mv AT bockchristoph multiomicsofsinglecellsstrategiesandapplications
AT farlikmatthias multiomicsofsinglecellsstrategiesandapplications
AT sheffieldnathanc multiomicsofsinglecellsstrategiesandapplications

Ejemplares similares