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Biomedical subjects

Wilbert Zwart

Publications and source records attributed to Wilbert Zwart.

2 recordsLinked to original sources

Zincore, an atypical coregulator, binds zinc finger transcription factors to control gene expression.

Zinc finger proteins (ZNFs) are the largest family of transcription factors, yet how they activate gene expression remains unclear. In this study, we identified Zincore, a protein complex consisting of QRICH1 and SEPHS1, as a ZNF-specific coregulator essential for embryonic development in mice and associated with developmental syndromes in humans. We also identified ZFP91 as a representative Zincore client, binding the conserved promoter motif CTTTAAR. Cryo-electron microscopy of a Zincore-ZFP91-DNA complex revealed a SEPHS1 arginine clamp to recognize the DNA-bound zinc finger domains. This mode of binding explains recognition of different ZNFs and stabilizes ZFP91 onto its cognate DNA motif. Thus, our study identified Zincore as a ZNF-specific coregulator essential for development, involving a distinctive mechanism that locks ZNFs onto DNA and regulates transcription.

Animals

Co-expression in tissue-specific gene networks links genes in cancer-susceptibility loci to known somatic driver genes.

BACKGROUND: The genetic background of cancer remains complex and challenging to integrate. Many somatic mutations within genes are known to cause and drive cancer, while genome-wide association studies (GWAS) of cancer have revealed many germline risk factors associated with cancer. However, the overlap between known somatic driver genes and positional candidate genes from GWAS loci is surprisingly small. We hypothesised that genes from multiple independent cancer GWAS loci should show tissue-specific co-regulation patterns that converge on cancer-specific driver genes. RESULTS: We studied recent well-powered GWAS of breast, prostate, colorectal and skin cancer by estimating co-expression between genes and subsequently prioritising genes that show significant co-expression with genes mapping within susceptibility loci from cancer GWAS. We observed that the prioritised genes were strongly enriched for cancer drivers defined by COSMIC, IntOGen and Dietlein et al. The enrichment of known cancer driver genes was most significant when using co-expression networks derived from non-cancer samples of the relevant tissue of origin. CONCLUSION: We show how genes within risk loci identified by cancer GWAS can be linked to known cancer driver genes through tissue-specific co-expression networks. This provides an important explanation for why seemingly unrelated sets of genes that harbour either germline risk factors or somatic mutations can eventually cause the same type of disease.

Humans