✍️Author: Shan Liu
📧Email: 3shanliu3@gmail.com
Copyright (c) 2025 YenLab@SKLEH. All rights reserved.
The transcription factor RUNX1 orchestrates hematopoietic differentiation but drives leukemogenesis, creating a functional paradox. RUNX1 binds open chromatin via a canonical 12-bp motif but most in vivo targets lack this sequence, challenging conventional TF-DNA interaction models.
To resolve this, we developed TRACE (Tagging and Recovery of Chromatin-associated Elements), a mammalian system employing endogenous DNA libraries to map RUNX1 binding in physiological contexts.
We uncover: 1) Novel motif arrays: RUNX1 targets inaccessible chromatin through novel 3bp-spaced motif arrays, forming alternative binding platforms. 2) Epigenetic plasticity: DNA methylation at motif array regions inversely correlates with differential TET2 expression across HSPC and AML, revealing cell-type-specific epigenetic crosstalk. 3) Functional complexity: Motif arrays regulate both lineage-specific and leukemic programs, connecting architecture to pathological switching.
Integrating TRACE-defined motif arrays with methylation dynamics, we demonstrate how RUNX1 toggles between hematopoiesis and leukemogenesis via a syntax-based mechanism, merging sequence arrangement with epigenetic context.
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Scripts head with
0_is for general preprocessing NGS data, includeTRACE,ChIP-seq,CUT&Tag,WGBS,MNase-seq,RNA-seq -
Script head with series number is pipeline for specific analysis follows the order in the TRACE paper.
Specifically, the
bash scriptis for processing data and correspondingR scriptsis used for downstream analysis, statistics and plotting. -
Published HT-SELEX data was processed using the Inomotif package with modified Python code, as detailed in the directory: Inomotif_modified
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Scripts in the Script_pipeline folder was called by pipelines.
