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Lineage transcription factors ASCL1, NKX2-1, and PROX1 are enriched at super enhancers and co-regulate subtype-specific genes in small cell lung cancer [ChIP-seq]

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NIAID Data Ecosystem2026-03-14 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP262642
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Heterogeneity between tumors is a major barrier to the treatment of small cell lung cancer (SCLC). Identification of molecular markers to characterize and classify tumors can facilitate the diagnosis and development of targeted therapies. Here, we analyzed genomic regions, called super enhancers (SE), across multiple SCLC cell lines and patient-derived xenograft models, and find SE enrichment is sufficient to classify SCLC models into recently defined SCLC molecular subtypes SCLC-A, SCLC-N, and SCLC-P defined by the transcription factors ASCL1, NEUROD1, and POU2F3, respectively. 3D chromatin structure analysis identified genes associated with the SE that assemble into subtype-specific tumor-signatures with genes functioning in diverse processes. Focusing on the SCLC-A subtype, transcription factors NKX2-1 and PROX1 were identified as ASCL1-interacting proteins. All three factors bind overlapping genomic regions within SEs in SCLC-A cell line models. Nevertheless, combined loss of all three factors suppresses growth of SCLC-A similar to that seen with ASCL1 loss alone, continuing to place ASCL1 as a key dependency factor in a subset of SCLC. Focusing on genes co-regulated by the three transcription factors, two SCLC-A subtype-specific cell surface proteins, SCN3A and KCNB2, were identified. Loss of either channel alone did not disrupt SCLC-A growth in vitro, but they may serve as diagnostic tools in subtyping SCLC. Overall design: Mapping of superenhancers and transcription factor binding sites in a panel of small cell lung cancer preclinical models based on chromatin-immunoprecipitation of an histone modification and 3 transcription factors. Please note that each processed data was generated from both ChIP and input samples, and is linked to the corresponding ChIP sample records.
创建时间:
2022-11-18
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