Closing the gap: a roadmap to single‐cell regulatory genomics

Studying the spatiotemporal control of gene regulatory networks at the single‐cell level is still a challenge, yet it is key to understanding the mechanisms driving cellular identity. In their recent study, Aerts and colleagues (González‐Blas et al , 2020) develop a new strategy to spatially map and...

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Bibliographic Details
Published in:Molecular systems biology 2020-05, Vol.16 (5), p.e9497-n/a
Main Authors: Carnesecchi, Julie, Lohmann, Ingrid
Format: Article
Language:English
Subjects:
Algorithms
Animals
Computational Biology
EMBO09
EMBO10
EMBO11
Epigenomics
Fruit flies
Gene expression
Gene regulation
Gene Regulatory Networks
Genomics
Life Sciences
News & Views
Transcription factors
Transcriptome
Views
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Summary:Studying the spatiotemporal control of gene regulatory networks at the single‐cell level is still a challenge, yet it is key to understanding the mechanisms driving cellular identity. In their recent study, Aerts and colleagues (González‐Blas et al , 2020) develop a new strategy to spatially map and integrate single‐cell transcriptome and epigenome profiles in the Drosophila eye‐antennal disc and to deduce in each cell precise enhancer‐to‐gene activity relationships. This opens a new era in the transcriptional regulation field, as it allows extracting from each of the thousands of cells forming a tissue the critical features driving their identity, from enhancer sequences to transcription factors to gene regulatory networks. Graphical Abstract Analysing gene regulatory networks at the single‐cell level has remained challenging. In their recent work, Aerts and colleagues (González‐Blas et al , 2020) develop a strategy to spatially integrate single‐cell transcriptome and epigenome data and infer enhancer‐gene activity relationships in each cell.
ISSN:1744-4292
1744-4292
DOI:10.15252/msb.20209497