Large-scale deciphering of human tissue gene activity

can we decipher the genetic activity of all human tissues? A series of
s published in the British journal Nature and Genetics provide a comprehensive overview of the differences in gene expression between different tissues and individuals in the human body, and these findings provide new clues to understanding the association between gene variation and gene expression in healthy tissues and to shed new clues about the origin of disease molecules.
the Human Genome Coding Directive regulates gene expression, which varies according to cell types and produces diverse tissues with different functions; The sequences that drive these differences are typically in non-coding areas of the genome, which determine how and when genes are expressed. However, there is still limited research on differences in gene regulation and gene expression between different human tissues and individuals.The
Genotype-Tissue Expression (GTEx) Research Alliance collected and studied more than 7,000 autopsy samples from 449 healthy human donors, covering 44 tissues (42 different tissue types), including 31 solid organ tissues, 10 brain divisions, whole blood, two cell linetes from donor blood and skin, which were used by scientists at the Broad Institute in the United States to analyze differences in gene expression between different tissues and individuals. They used eQTL as a graph to show that most human genes are affected by local variations that are close to the affected genes. The expression of 93 genes was also identified as being affected by distant variations, including those located on different chromosomes.
another paper in Nature examines the role of rare mutations in gene expression, using GTEx data to explore how gene variants associated with gene expression regulate RNA editing and X chromosomal insisnation. In
, the authors describe the expansion of the GTEx project, which provides resources for studying how genetic differences affect human health step by step through molecular esopeats.
, these results highlight the value of data from different individuals and organizations in identifying the genes and mechanisms behind human disease-related mutations. Scientists at the University of Chicago said in a commentary: 'Together, overcoming the ethical, legal and technical challenges of large-scale acquisition of posthumous human samples, the wide range of data generated has taken humans one step further toward deciphering the code for genomic regulation, and the effects of genetic variation on gene expression are becoming clearer.' (Source: Science and Technology Daily Zhang Mengran)