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Updated: Sep 12, 2025

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The ChroP Approach Combines ChIP and Mass Spectrometry to Dissect Locus-specific Proteomic Landscapes of Chromatin
Published on: April 11, 2014
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Chromatin-dependent motif syntax defines differentiation trajectories
Sevi Durdu1, Murat Iskar1, Luke Isbel2
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Molecular Cell
|August 8, 2025
Summary
Two transcription factors (TFs) with similar DNA binding sites drive different cell fates. Their specificity depends on chromatin accessibility, motif variants, and interaction partners, revealing key mechanisms in cell differentiation.
Area of Science:
- Molecular Biology
- Developmental Biology
- Genomics
Background:
- Transcription factors (TFs) binding DNA motifs regulate cell identity.
- The precise mechanisms governing TF specificity remain incompletely understood.
- Neurogenin-2 (NGN2) and MyoD1 TFs bind similar E-box motifs but induce distinct neuronal and muscle cell fates, respectively.
Purpose of the Study:
- To investigate the factors governing the distinct cell fate choices driven by NGN2 and MyoD1.
- To elucidate the role of chromatin accessibility and DNA motif syntax in TF specificity.
- To develop and apply a machine learning approach for analyzing TF binding dynamics.
Main Methods:
- Monitoring TF binding dynamics during differentiation in mouse embryonic stem cells.
- Utilizing an interpretable machine learning model integrating DNA accessibility data.
- Validating binding predictions through cellular and in vitro assays.
Main Results:
- A chromatin-dependent motif syntax dictates both shared and factor-specific TF binding.
- Shared binding sites are located in open chromatin, influenced by local nucleosome positions.
- Factor-specific binding in closed chromatin involves pioneer factor activity, motif variants, spacing, and interaction partners.
Conclusions:
- TF specificity arises from a combination of opportunistic binding in accessible chromatin and context-specific chromatin opening.
- The interplay of chromatin state, DNA motif characteristics, and protein interactions determines cell differentiation trajectories.
- The developed methodology provides a framework for understanding TF specificity across various biological models.
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