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Chromatin accessibility in the Drosophila embryo is determined by transcription factor pioneering and enhancer activation.


ABSTRACT: Chromatin accessibility is integral to the process by which transcription factors (TFs) read out cis-regulatory DNA sequences, but it is difficult to differentiate between TFs that drive accessibility and those that do not. Deep learning models that learn complex sequence rules provide an unprecedented opportunity to dissect this problem. Using zygotic genome activation in Drosophila as a model, we analyzed high-resolution TF binding and chromatin accessibility data with interpretable deep learning and performed genetic validation experiments. We identify a hierarchical relationship between the pioneer TF Zelda and the TFs involved in axis patterning. Zelda consistently pioneers chromatin accessibility proportional to motif affinity, whereas patterning TFs augment chromatin accessibility in sequence contexts where they mediate enhancer activation. We conclude that chromatin accessibility occurs in two tiers: one through pioneering, which makes enhancers accessible but not necessarily active, and the second when the correct combination of TFs leads to enhancer activation.

SUBMITTER: Brennan KJ 

PROVIDER: S-EPMC10592203 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Chromatin accessibility in the Drosophila embryo is determined by transcription factor pioneering and enhancer activation.

Brennan Kaelan J KJ   Weilert Melanie M   Krueger Sabrina S   Pampari Anusri A   Liu Hsiao-Yun HY   Yang Ally W H AWH   Morrison Jason A JA   Hughes Timothy R TR   Rushlow Christine A CA   Kundaje Anshul A   Zeitlinger Julia J  

Developmental cell 20230808 19


Chromatin accessibility is integral to the process by which transcription factors (TFs) read out cis-regulatory DNA sequences, but it is difficult to differentiate between TFs that drive accessibility and those that do not. Deep learning models that learn complex sequence rules provide an unprecedented opportunity to dissect this problem. Using zygotic genome activation in Drosophila as a model, we analyzed high-resolution TF binding and chromatin accessibility data with interpretable deep learn  ...[more]

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