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Journal article

Identification of putative enhancer-like elements predicts regulatory networks active in planarian adult stem cells

Abstract:

Planarians have become an established model system to study regeneration and stem cells, but the regulatory elements in the genome remain almost entirely undescribed. Here, by integrating epigenetic and expression data we use multiple sources of evidence to predict enhancer elements active in the adult stem cell populations that drive regeneration. We have used ChIP-seq data to identify genomic regions with histone modifications consistent with enhancer activity, and ATAC-seq data to identify accessible chromatin. Overlapping these signals allowed for the identification of a set of high-confidence candidate enhancers predicted to be active in planarian adult stem cells. These enhancers are enriched for predicted transcription factor (TF) binding sites for TFs and TF families expressed in planarian adult stem cells. Footprinting analyses provided further evidence that these potential TF binding sites are likely to be occupied in adult stem cells. We integrated these analyses to build testable hypotheses for the regulatory function of TFs in stem cells, both with respect to how pluripotency might be regulated, and to how lineage differentiation programs are controlled. We found that our predicted GRNs were independently supported by existing TF RNAi/RNA-seq datasets, providing further evidence that our work predicts active enhancers that regulate adult stem cells and regenerative mechanisms.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.7554/elife.79675

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
ORCID:
0000-0002-5077-4958
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Role:
Author
ORCID:
0000-0003-2211-1521
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Oxford college:
Lady Margaret Hall
Role:
Author
ORCID:
0000-0003-4902-5797


Publisher:
eLife Sciences Publications
Journal:
eLife More from this journal
Volume:
11
Article number:
e79675
Publication date:
2022-08-23
Acceptance date:
2022-08-23
DOI:
EISSN:
2050-084X
Pmid:
35997250


Language:
English
Keywords:
Pubs id:
1276965
Local pid:
pubs:1276965
Deposit date:
2022-11-30
ARK identifier:

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