Study / S6UQ6GTXR2024-10-10

Targeting circadian transcriptional programs through a cis-regulatory mechanism in triple negative breast cancer

Yuanzhong Pan, Tsu-Pei Chiu, Lili Zhou, Priscilla Chan, Tia Tyrsett Kuo et al.

About this study

Circadian clock genes are emerging targets in many types of cancer, but their mechanistic contributions to tumor progression are still largely unknown. This makes it challenging to stratify patient populations and develop corresponding treatments. In this work, we show that in breast cancer, the disrupted expression of circadian genes has the potential to serve as biomarkers. We also show that the master circadian transcription factors (TFs) BMAL1 and CLOCK are required for the proliferation of metastatic mesenchymal stem-like (mMSL) triple-negative breast cancer (TNBC) cells. Using currently available small molecule modulators, we found that a stabilizer of cryptochrome 2 (CRY2), the direct repressor of BMAL1 and CLOCK transcriptional activity, synergizes with inhibitors of proteasome, which is required for BMAL1 and CLOCK function, to repress a transcriptional program comprising circadian cycling genes in mMSL TNBC cells. Omics analyses on drug-treated cells implied that this repression of transcription is mediated by the transcription factor binding sites (TFBSs) features in the cis-regulatory elements (CRE) of clock-controlled genes. Through a massive parallel reporter assay, we defined a set of CRE features that are potentially repressed by the specific drug combination. The identification of cis-element enrichment might serve as a new concept of defining and targeting tumor types through the modulation of cis-regulatory programs, and ultimately provide a new paradigm of therapy design for cancer types with unclear drivers like TNBC.

Full author list & citation

Yuanzhong Pan, Tsu-Pei Chiu, Lili Zhou, Priscilla Chan, Tia Tyrsett Kuo, Francesca Battaglin, Shivani Soni, Priya Jayachandran, Jingyi Jessica Li, Heinz-Josef Lenz, Shannon M. Mumenthaler, Remo Rohs, Evanthia Roussos Torres, Steve A. Kay. Targeting circadian transcriptional programs through a cis-regulatory mechanism in triple negative breast cancer. 2024-10-10. https://doi.org/10.1101/2024.04.26.590360

Experiments 1

E9RIH2ULR

Whole-genome STARR-seq of MDA-MB-231 cis-regulatory elements under circadian/proteasome drug treatments

The authors sonicated MDA-MB-231 genomic DNA to approximately 700-bp fragments, cloned the library into the hSTARR-ORI episomal reporter vector, and transfected it into MDA-MB-231 cells. Four treatment groups (DMSO, SHP1705, MG132, and SHP1705 plus MG132) were sequenced as poly(A)+ reporter RNA and analyzed by MACS2 peak calling; GEO labels the samples as 8-hour treatments, while the STARR-seq method states that RNA was extracted 6 hours after transformation.

Whole-Genome STARR-seq (WHG-STARR-seq)Humanhg38
Explore data

Raw source data 20 files

Original supplemental and deposited inputs retained for this study. Download files individually or together as a ZIP; nested folders are preserved. Source reuse terms apply, and sequencing reads may be omitted.

Download all 20 files (ZIP)biorxiv_record.jsongeo/extracted/GSM8239427_DMSO_peaks.txt.gzgeo/extracted/GSM8239428_SHP_peaks.txt.gzgeo/extracted/GSM8239429_MG_peaks.txt.gzgeo/extracted/GSM8239430_COMBO_peaks.txt.gzgeo/GSE266012_family.soft.gzgeo/GSE266012_RAW.targeo/GSE266013_family.soft.gzgeo/GSE266013_RAW.targithub_repo.jsongithub_STARR-seq/COMBO_peaks.xlsgithub_STARR-seq/DMSO_peaks.xlsgithub_STARR-seq/MG132_peaks.xlsgithub_STARR-seq/motifs/EBTFassoc.memegithub_STARR-seq/motifs/JASPAR_2022_matrix_clustering_vertebrates_UNVALIDATED_cluster_root_motifs.tfgithub_STARR-seq/README.mdgithub_STARR-seq/SHP1705_peaks.xlsgithub_STARR-seq/starr.Rgithub_STARR-seq/utils.Rgithub_tree.json

Cite OpenMPRA

Cite the OpenMPRA database. Include your access date because the collection changes over time.

Please also cite the source studies when using their data.