bioRxivCancer BiologyPreprint
A distal CTCF-binding site drives MYC expression plasticity in a negative feed-forward loop
Chenying GaoiD, Mirco MartinoiD, Ayushi ChaurasiyaiD, Felipe Beccaria CasagrandeiD, Jia Jia LimiD, Yuri S. van EkelenburgiD, Feng Wei, Yan LiuiD, Barbara A. ScholziD, Parag MishraiD, Mallikarjuna Thippana, Dennis TorkornooiD, Phong KT. Chau, Rabia KhaniD, Tone Møller TannæsiD, Ilias TzelepisiD, Ilyas ChachouaiD, Natalie GeyeriD, Sebastian MeltzeriD, Anne Hansen ReeiD, Marco GerlingiD, Johan HartmaniD, Narsis A. KianiiD, Rolf I. OHLSSONiD, Anita GöndöriD
Abstract
Oncogene expression heterogeneity systemically diversifies cancer cell phenotypes, enabling selection and cancer evolution. Here we document that the level of MYC expression variation is coordinated by a negative feed-forward loop involving the non-coding CCAT1 eRNA and the MYC gating process. While CCAT1 eRNA indirectly antagonizes MYC gating by promoting MYC transcriptional initiation and elongation, the MYC protein promotes gated MYC expression in a feedback loop by inhibiting both MYC transcription and CCAT1 expression. This entire process is coordinated by a CTCF binding site positioned within CCAT1 at a distal, oncogenic super-enhancer, which functions as a master switch by coordinating both CCAT1 and gated MYC expression to diversify cells toward both low and high MYC levels, as determined by heterogeneity metrics. As hallmarks of this principle are frequent in breast cancer and colorectal tumors, the dynamics of this new principle may underlie transitions between therapy-resistant low-MYC, and proliferative high-MYC tumor cells. Highlights- Transcriptional rate regulates MYC gating frequency - CCAT1 expression indirectly inhibits MYC gating by promoting MYC transcription - High MYC protein levels promote gated expression by inhibiting both MYC transcription and CCAT1 expression - These features are controlled by a single CTCF binding in the distant super-enhancer to drive expression plasticity in colorectal cancer cells
- organism: human
- assay: bulk RNA-seq
- research focus: chromatin & epigenetic regulation
- research focus: gene regulatory network inference
- research focus: cell type annotation
- approach: statistical model
- approach: mechanistic / dynamical model
- Citations
- 0
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