Medical genetics, genomics and bioinformatics aid in understanding molecular mechanisms of human diseases

[No abstract available]

Authors
Orlov Y.L. 1, 2 , Anashkina A.A.1, 3 , Klimontov V.V.4 , Baranova A.V.5, 6
Journal
International Journal of Molecular Sciences
Publisher
MDPI AG
Number of issue
18
Language
English
Status
Published
Link
External link
DOI
10.3390/ijms22189962
Number
9962
Volume
22
Year
2021
Organizations
  • 1 The Digital Health Institute, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, 119991, Russian Federation
  • 2 Agrarian and Technological Institute, Peoples’ Friendship University of Russia, Moscow, 117198, Russian Federation
  • 3 Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation
  • 4 Research Institute of Clinical and Experimental Lymphology—Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL—Branch of IC&G SB RAS), Novosibirsk, 630060, Russian Federation
  • 5 School of Systems Biology, George Mason University, Fairfax, VA 22030, United States
  • 6 Research Centre for Medical Genetics, Moscow, 115522, Russian Federation
Keywords
actin; calcium phosphate; chemokine; cytokine; G actin; glucose; ligand; microRNA; succinate dehydrogenase; microRNA; amino acid sequence; autism; behavior disorder; bioinformatics; biomedicine; brain nerve cell; cell cycle; cell interaction; cell metabolism; chronic disease; chronic low grade inflammation; computer model; degenerative disease; diabetes mellitus; diabetic complication; disease exacerbation; down regulation; Editorial; electron microscopy; eukaryotic cell; fuzzy clustering; gene expression; genetic screening; genomics; glucose homeostasis; glucose level; human; hyperglycemia; hypoglycemia; immunohistochemistry; insulin release; mass spectrometry; medical genetics; medical research; mental disease; mesenchymal stem cell; molecular biology; molecular genetics; mRNA expression level; multiple endocrine neoplasia type 1; neuronal ceroid lipofuscinosis; nonhuman; nucleosome; paraganglioma; protein degradation; protein structure; RNA sequencing; schizophrenia; secretion (process); signal transduction; systems biology; target organ; transcriptomics; upregulation; X ray diffraction; animal; biology; disease model; diseases; gene regulatory network; genetics; metabolism; Animals; Computational Biology; Disease; Disease Models, Animal; Gene Regulatory Networks; Genetics, Medical; Genomics; Humans; Mesenchymal Stem Cells; MicroRNAs
Date of creation
16.12.2021
Date of change
16.12.2021
Short link
https://repository.rudn.ru/en/records/article/record/76661/
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