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The gene expression process relies on random collisions of biological macromolec molecules such as transcription factors, chromosin regulatory factors, and chromosin during Brown's movement, so even cells with identical genotypes and differentiation types have differences in gene expression in the same environment, known as gene expression noise.
study of gene expression noise is of great significance to the study of stem cell proliferation differentiation, individual development, resistance of pathogens and stable yield of crops, and its regulatory mechanism in the early human embryo development process is still unclear.
Qian Wenfeng of the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences calculated and analyzed the single-cell transcription group data of human embryos and found that various histon modifications regulated gene expression levels and gene expression noise respectively.
heptoprotein modifications that are rich near the initiation, such as H3K4 methylation, mainly regulate the average expression level of genes, while histone modifications rich in gene-coded regions, such as H3K79 methylation, can reduce gene expression noise, i.e. improve gene expression consistency among similar cells.
the H3K79 methylase in yeast cells, reducing the level of H3K79 methylation modification, and observed an increase in differences in the expression of target genes between cells.
In line with the above findings, genes that are sensitive to gene expression levels (e.g., genes in signaling paths, genes that must be genetic, genes that encode protein complexes) are mainly modified by the gene-coding region histones, while genes associated with environmental response are mainly rich in hetonin modification in the initiating sub-regions.
the study revealed the "division of labor" in which hisoprotein modification regulates gene expression levels and gene expression noise, providing clues to understanding the evolution of transcription groups.
the above findings were published online June 30 in PLOS Computational Biology (DOI: 10.1371/journal.pcbi.1005585).
Shaohuan, a doctoral student in Qian Wenfeng's research group, and Li Wei, an engineer, are co-authors of the article, and Wu Shaohuan and Qian Wenfeng are co-authors of the newsletter.
the study was funded by the National "973" Project.
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