AI Article Synopsis

  • Understanding how cancer starts and grows is super important for making better treatments!*
  • Scientists have found changes in certain genes that make histones (proteins that help pack DNA) become "oncohistones" which can lead to cancer.*
  • Yeast is a helpful model for studying these proteins because they have simpler genetics but similar proteins to humans, allowing researchers to discover how these mutations work and find new ways to treat cancer.*

Article Abstract

Understanding the molecular basis of cancer initiation and progression is critical in developing effective treatment strategies. Recently, mutations in genes encoding histone proteins that drive oncogenesis have been identified, converting these essential proteins into "oncohistones". Understanding how oncohistone mutants, which are commonly single missense mutations, subvert the normal function of histones to drive oncogenesis requires defining the functional consequences of such changes. Histones genes are present in multiple copies in the human genome with 15 genes encoding histone H3 isoforms, the histone for which the majority of oncohistone variants have been analyzed thus far. With so many wildtype histone proteins being expressed simultaneously within the oncohistone, it can be difficult to decipher the precise mechanistic consequences of the mutant protein. In contrast to humans, budding and fission yeast contain only two or three histone H3 genes, respectively. Furthermore, yeast histones share ~90% sequence identity with human H3 protein. Its genetic simplicity and evolutionary conservation make yeast an excellent model for characterizing oncohistones. The power of genetic approaches can also be exploited in yeast models to define cellular signaling pathways that could serve as actionable therapeutic targets. In this review, we focus on the value of yeast models to serve as a discovery tool that can provide mechanistic insights and inform subsequent translational studies in humans.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10744705PMC
http://dx.doi.org/10.3390/jof9121187DOI Listing

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