Research output: Contribution to journal › Article › peer-review
Glioblastoma gene network reconstruction and ontology analysis by online bioinformatics tools. / Gubanova, Natalya V.; Orlova, Nina G.; Dergilev, Arthur I. et al.
In: Journal of integrative bioinformatics, Vol. 18, No. 4, 16.11.2021.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Glioblastoma gene network reconstruction and ontology analysis by online bioinformatics tools
AU - Gubanova, Natalya V.
AU - Orlova, Nina G.
AU - Dergilev, Arthur I.
AU - Oparina, Nina Y.
AU - Orlov, Yuriy L.
N1 - The work was supported by the Ministry of Science and Higher Education of the Russian Federation via the Institute of Cytology and Genetics (state budget project No 0259-2021-0014). Publisher Copyright: © 2021 Natalya V. Gubanova et al., published by De Gruyter, Berlin/Boston.
PY - 2021/11/16
Y1 - 2021/11/16
N2 - Glioblastoma is the most aggressive type of brain tumors resistant to a number of antitumor drugs. The problem of therapy and drug treatment course is complicated by extremely high heterogeneity in the benign cell populations, the random arrangement of tumor cells, and polymorphism of their nuclei. The pathogenesis of gliomas needs to be studied using modern cellular technologies, genome- and transcriptome-wide technologies of high-throughput sequencing, analysis of gene expression on microarrays, and methods of modern bioinformatics to find new therapy targets. Functional annotation of genes related to the disease could be retrieved based on genetic databases and cross-validated by integrating complementary experimental data. Gene network reconstruction for a set of genes (proteins) proved to be effective approach to study mechanisms underlying disease progression. We used online bioinformatics tools for annotation of gene list for glioma, reconstruction of gene network and comparative analysis of gene ontology categories. The available tools and the databases for glioblastoma gene analysis are discussed together with the recent progress in this field.
AB - Glioblastoma is the most aggressive type of brain tumors resistant to a number of antitumor drugs. The problem of therapy and drug treatment course is complicated by extremely high heterogeneity in the benign cell populations, the random arrangement of tumor cells, and polymorphism of their nuclei. The pathogenesis of gliomas needs to be studied using modern cellular technologies, genome- and transcriptome-wide technologies of high-throughput sequencing, analysis of gene expression on microarrays, and methods of modern bioinformatics to find new therapy targets. Functional annotation of genes related to the disease could be retrieved based on genetic databases and cross-validated by integrating complementary experimental data. Gene network reconstruction for a set of genes (proteins) proved to be effective approach to study mechanisms underlying disease progression. We used online bioinformatics tools for annotation of gene list for glioma, reconstruction of gene network and comparative analysis of gene ontology categories. The available tools and the databases for glioblastoma gene analysis are discussed together with the recent progress in this field.
KW - drug search
KW - gene networks
KW - gene ontology
KW - glioblastoma
KW - medical genomics
KW - Humans
KW - Computational Biology
KW - Gene Expression Regulation, Neoplastic
KW - Gene Expression Profiling
KW - Brain Neoplasms/genetics
KW - Gene Regulatory Networks
KW - Glioblastoma/genetics
KW - Glioma/genetics
KW - Gene Ontology
UR - http://www.scopus.com/inward/record.url?scp=85123025123&partnerID=8YFLogxK
U2 - 10.1515/jib-2021-0031
DO - 10.1515/jib-2021-0031
M3 - Article
C2 - 34783229
AN - SCOPUS:85123025123
VL - 18
JO - Journal of integrative bioinformatics
JF - Journal of integrative bioinformatics
SN - 1613-4516
IS - 4
ER -
ID: 35322636