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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- Files:
-
-
(Preview, Accepted manuscript, pdf, 1.9MB, Terms of use)
-
- Publisher copy:
- 10.1016/j.cbpa.2020.01.013
Authors
+ Cancer Research UK
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- Funder identifier:
- http://dx.doi.org/10.13039/501100000289
- Grant:
- C41580/A23900
- 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:
Terms of use
- Copyright holder:
- Philpott, M et al.
- Copyright date:
- 2020
- Rights statement:
- © 2020 Philpott, M et al. Published by Elsevier Ltd.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.cbpa.2020.01.013
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