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Background: The cohesin complex plays an essential role in genome organisation and cell division. A full complement of the cohesin complex and its regulators is important for normal development, since heterozygous mutations in genes encoding these components can be sufficient to produce a disease phenotype. The implication that genes encoding the cohesin subunits or cohesin regulators must be tightly controlled and resistant to variability in expression has not yet been formally tested.
Methods: Here, we identify spatial-regulatory connections with potential to regulate expression of cohesin loci (Mitotic: , , , , /; Meiotic: , , , ), cohesin-ring support genes (, , , , ) and , including linking their expression to that of other genes. We searched the genome-wide association studies (GWAS) catalogue for SNPs mapped or attributed to cohesin genes by GWAS (GWAS-attributed) and the GTEx catalogue for SNPs mapped to cohesin genes by -regulatory variants in one or more of 44 tissues across the human body (expression quantitative trail locus-attributed).
Results: Connections that centre on the cohesin ring subunits provide evidence of coordinated regulation that has little tolerance for perturbation. We used the CoDeS3D SNP-gene attribution methodology to identify transcriptional changes across a set of genes coregulated with the cohesin loci that include biological pathways such as extracellular matrix production and proteasome-mediated protein degradation. Remarkably, many of the genes that are coregulated with cohesin loci are themselves intolerant to loss-of-function.
Conclusions: The results highlight the importance of robust regulation of cohesin genes and implicate novel pathways that may be important in the human cohesinopathy disorders.
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http://dx.doi.org/10.1136/jmedgenet-2020-107095 | DOI Listing |
J Chem Phys
September 2025
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
We study how protein condensates respond to a site of active RNA transcription (i.e., a gene promoter) due to electrostatic protein-RNA interactions.
View Article and Find Full Text PDFCancers (Basel)
August 2025
Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
High-risk neuroblastoma remains a major clinical challenge, with a five-year survival rate below 50% despite intensive multimodal therapies. MYCN amplification, a hallmark of high-risk disease, drives an aggressive transcriptional program that maintains undifferentiated and proliferative states in neuroblastoma cells. Given its central role in oncogenic transcription, MYCN represents an attractive therapeutic target; however, its undruggable nature has prompted efforts to identify upstream regulators or cofactors that sustain MYCN expression and oncogenic function.
View Article and Find Full Text PDFAdv Sci (Weinh)
August 2025
Beijing Life Science Academy, Beijing, 102209, China.
The ubiquitin chains perform diverse biological functions through different linkages. However, the understanding of non-canonical K29-linked ubiquitin chains is relatively limited. Exploring the physiological functions of K29-linked ubiquitin chains beyond degradation is crucial for deciphering the ubiquitin chain code, which is essential for understanding cellular physiology.
View Article and Find Full Text PDFJ Cancer
July 2025
General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College Hangzhou, China.
Shugoshin 1 (SGO1) is primarily known for its critical functions in chromosome segregation during cell division, protecting cohesin complexes and ensuring accurate mitotic processes. Previous studies have reported SGO1's regulatory roles in isolated cancer types, but its pan-cancer significance and underlying mechanisms remain undefined. This study systematically investigates SGO1 in 33 cancer types, integrating multi-omics analyses and functional validation to reveal its role as a pan-cancer biomarker and therapeutic target.
View Article and Find Full Text PDFBioinform Adv
July 2025
Theoretical division at Los Alamos National Laboratory, Los Alamos, NM 87544, United States.
Motivation: Recent advances in genomics and sequencing platforms have revolutionized our ability to create immense data sets, particularly for studying epigenetic regulation of gene expression. However, the avalanche of epigenomic data is difficult to parse for biological interpretation given nonlinear complex patterns and relationships. This attractive challenge in epigenomic data lends itself to machine learning for discerning infectivity and susceptibility.
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