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Journal article

Advances and challenges in epigenomic single-cell sequencing applications

Abstract:
Understanding multicellular physiology and pathobiology requires analysis of the relationship between genotype, chromatin organisation and phenotype. In the multi-omics era, many methods exist to investigate biological processes across the genome, transcriptome, epigenome, proteome and metabolome. Until recently, this was only possible for populations of cells or complex tissues, creating an averaging effect that may obscure direct correlations between multiple layers of data. Single-cell sequencing methods have removed this averaging effect, but computational integration after profiling distinct modalities separately may still not completely reflect underlying biology. Multiplexed assays resolving multiple modalities in the same cell are required to overcome these shortcomings and have the potential to deliver unprecedented understanding of biology and disease.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.cbpa.2020.01.013

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Chemistry
Sub department:
Organic Chemistry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
ORCID:
0000-0001-9984-5342



Publisher:
Elsevier
Journal:
Current Opinion in Chemical Biology More from this journal
Volume:
57
Pages:
17-26
Publication date:
2020-04-15
Acceptance date:
2020-01-22
DOI:
ISSN:
1367-5931


Language:
English
Keywords:
Pubs id:
1083526
Local pid:
pubs:1083526
Deposit date:
2020-01-29
ARK identifier:

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