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Distinct Traits of Structural and Regulatory Evolutional Conservation of Human Genes with Specific Focus on Major Cancer Molecular Pathways.
Zakharova, Galina; Modestov, Alexander; Pugacheva, Polina; Mekic, Rijalda; Savina, Ekaterina; Guryanova, Anastasia; Rachkova, Anastasia; Yakushov, Semyon; Alimov, Andrei; Kulaeva, Elizaveta; Fedoseeva, Elena; Kleyman, Artem; Vasin, Kirill; Tkachev, Victor; Garazha, Andrew; Sekacheva, Marina; Suntsova, Maria; Sorokin, Maksim; Buzdin, Anton; Zolotovskaia, Marianna A.
Afiliación
  • Zakharova G; World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Modestov A; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Pugacheva P; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Mekic R; Laboratory for Translational Genomic Bioinformatics, Moscow Institute of Physics and Technology, Dolgoprudny 141701, Russia.
  • Savina E; Laboratory for Translational Genomic Bioinformatics, Moscow Institute of Physics and Technology, Dolgoprudny 141701, Russia.
  • Guryanova A; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Rachkova A; Laboratory for Translational Genomic Bioinformatics, Moscow Institute of Physics and Technology, Dolgoprudny 141701, Russia.
  • Yakushov S; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Alimov A; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Kulaeva E; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Fedoseeva E; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Kleyman A; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Vasin K; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Tkachev V; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Garazha A; Oncobox Ltd., Moscow 121205, Russia.
  • Sekacheva M; Omicsway Corp., Walnut, CA 91789, USA.
  • Suntsova M; World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Sorokin M; World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Buzdin A; Laboratory of Clinical and Genomic Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Zolotovskaia MA; Laboratory for Translational Genomic Bioinformatics, Moscow Institute of Physics and Technology, Dolgoprudny 141701, Russia.
Cells ; 12(9)2023 05 02.
Article en En | MEDLINE | ID: mdl-37174700
The evolution of protein-coding genes has both structural and regulatory components. The first can be assessed by measuring the ratio of non-synonymous to synonymous nucleotide substitutions. The second component can be measured as the normalized proportion of transposable elements that are used as regulatory elements. For the first time, we characterized in parallel the regulatory and structural evolutionary profiles for 10,890 human genes and 2972 molecular pathways. We observed a ~0.1 correlation between the structural and regulatory metrics at the gene level, which appeared much higher (~0.4) at the pathway level. We deposited the data in the publicly available database RetroSpect. We also analyzed the evolutionary dynamics of six cancer pathways of two major axes: Notch/WNT/Hedgehog and AKT/mTOR/EGFR. The Hedgehog pathway had both components slower, whereas the Akt pathway had clearly accelerated structural evolution. In particular, the major hub nodes Akt and beta-catenin showed both components strongly decreased, whereas two major regulators of Akt TCL1 and CTMP had outstandingly high evolutionary rates. We also noticed structural conservation of serine/threonine kinases and the genes related to guanosine metabolism in cancer signaling: GPCRs, G proteins, and small regulatory GTPases (Src, Rac, Ras); however, this was compensated by the accelerated regulatory evolution.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas Proto-Oncogénicas c-akt / Neoplasias Idioma: En Revista: Cells Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas Proto-Oncogénicas c-akt / Neoplasias Idioma: En Revista: Cells Año: 2023 Tipo del documento: Article