Particulate Matters Affecting lncRNA Dysregulation and Glioblastoma Invasiveness: In Silico Applications and Current Insights

With a reported rise in global air pollution, more than 50% of the population remains exposed to toxic air pollutants in the form of particulate matters (PMs). PMs, from various sources and of varying sizes, have a significant impact on health as long-time exposure to them has seen a correlation wit...

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Bibliographic Details
Published inJournal of molecular neuroscience Vol. 72; no. 11; pp. 2188 - 2206
Main Authors Mukherjee, Swagatama, Kundu, Uma, Desai, Dhwani, Pillai, Prakash P.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.11.2022
Springer Nature B.V
Subjects
Air pollution
Anthropogenic factors
Biomedical and Life Sciences
Biomedicine
Brain cancer
Cancer
Carcinogens
Cell Biology
Correlation
Glioblastoma
Global air pollution
Health hazards
Human influences
Invasiveness
Neurochemistry
Neurology
Neurosciences
Non-coding RNA
Pollutants
Proteomics
In silico studies
Long noncoding RNA
Glioblastoma multiforme
Particulate matter
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Summary:With a reported rise in global air pollution, more than 50% of the population remains exposed to toxic air pollutants in the form of particulate matters (PMs). PMs, from various sources and of varying sizes, have a significant impact on health as long-time exposure to them has seen a correlation with various health hazards and have also been determined to be carcinogenic. In addition to disrupting known cellular pathways, PMs have also been associated with lncRNA dysregulation—a factor that increases predisposition towards the onset or progression of cancer. lncRNA dysregulation is further seen to mediate glioblastoma multiforme (GBM) progression. The vast array of information regarding cancer types including GBM and its various precursors can easily be obtained via innovative in silico approaches in the form of databases such as GEO and TCGA; however, a need to obtain selective and specific information correlating anthropogenic factors and disease progression—in the case of GBM—can serve as a critical tool to filter down and target specific PMs and lncRNAs responsible for regulating key cancer hallmarks in glioblastoma. The current review article proposes an in silico approach in the form of a database that reviews current updates on correlation of PMs with lncRNA dysregulation leading to GBM progression.
ISSN:0895-8696
1559-1166
DOI:10.1007/s12031-022-02069-9