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Science. 2017 Oct 6;358(6359):69-75. doi: 10.1126/science.aan6826.

Single-cell epigenomics: Recording the past and predicting the future.

Kelsey G1,2, Stegle O3,4, Reik W1,2,5.

Author information

1
Epigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK. gavin.kelsey@babraham.ac.uk oliver.stegle@ebi.ac.uk wolf.reik@babraham.ac.uk.
2
Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, UK.
3
European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, CB10 1SD Hinxton, Cambridge, UK. gavin.kelsey@babraham.ac.uk oliver.stegle@ebi.ac.uk wolf.reik@babraham.ac.uk.
4
European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg 69117, Germany.
5
Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK.

Abstract

Single-cell multi-omics has recently emerged as a powerful technology by which different layers of genomic output-and hence cell identity and function-can be recorded simultaneously. Integrating various components of the epigenome into multi-omics measurements allows for studying cellular heterogeneity at different time scales and for discovering new layers of molecular connectivity between the genome and its functional output. Measurements that are increasingly available range from those that identify transcription factor occupancy and initiation of transcription to long-lasting and heritable epigenetic marks such as DNA methylation. Together with techniques in which cell lineage is recorded, this multilayered information will provide insights into a cell's past history and its future potential. This will allow new levels of understanding of cell fate decisions, identity, and function in normal development, physiology, and disease.

PMID:
28983045
DOI:
10.1126/science.aan6826
[Indexed for MEDLINE]

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