Aberrant miRNAs Regulate the Biological Hallmarks of Glioblastoma

Yu, Wanli; Liang, Sai; Zhang, Chunzhi

doi:10.1007/s12017-018-8507-9

Cited by 17 publications

(8 citation statements)

References 276 publications

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“…Gene-based association analysis showed associations with genes involved in neuronal differentiation/development, cancer, and susceptibility to neurodegenerative diseases. ZEB1 has been implicated in neuronal glioblastoma 35 whereas SLC25A33 has been associated with insulin/insulin-like growth factor 1 (IGF-1) necessary for metabolism, cell growth, and survival 36 and showed higher expression in transformed fibroblasts and cancer cell lines compared to non-transformed cells 36 , 37 . TMEM201 mice, which undergo accelerated senescence, exhibited an early onset age-related decline in antibody response and have a higher rate of mortality 38 .…”

Section: Discussionmentioning

confidence: 99%

Novel genetic variants associated with brain functional networks in 18,445 adults from the UK Biobank

Foo

Thalamuthu

Jiang

et al. 2021

Sci Rep

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Here, we investigated the genetics of weighted functional brain network graph theory measures from 18,445 participants of the UK Biobank (44–80 years). The eighteen measures studied showed low heritability (mean h2SNP = 0.12) and were highly genetically correlated. One genome-wide significant locus was associated with strength of somatomotor and limbic networks. These intergenic variants were located near the PAX8 gene on chromosome 2. Gene-based analyses identified five significantly associated genes for five of the network measures, which have been implicated in sleep duration, neuronal differentiation/development, cancer, and susceptibility to neurodegenerative diseases. Further analysis found that somatomotor network strength was phenotypically associated with sleep duration and insomnia. Single nucleotide polymorphism (SNP) and gene level associations with functional network measures were identified, which may help uncover novel biological pathways relevant to human brain functional network integrity and related disorders that affect it.

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Section: Discussionmentioning

confidence: 99%

Novel genetic variants associated with brain functional networks in 18,445 adults from the UK Biobank

Foo

Thalamuthu

Jiang

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Gene-based association analysis showed associations with genes involved in neuronal differentiation/development, cancer, and susceptibility to neurodegenerative diseases. ZEB1 has been implicated in neuronal glioblastoma 33 whereas SLC25A33 has been associated with insulin/insulin-like growth factor 1 (IGF-1) necessary for metabolism, cell growth, and survival 34 and showed higher expression in transformed fibroblasts and cancer cell lines compared to non-transformed cells 34,35 . TMEM201 mice, which undergo accelerated senescence, exhibited an early onset age-related decline in antibody response and have a higher rate of mortality 36 .…”

Section: Discussionmentioning

confidence: 99%

Novel genetic variants associated with brain functional networks in 18,445 adults from the UK Biobank

Foo

Thalamuthu

Jiang

et al. 2020

Preprint

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This is the first study investigating the genetics of weighted functional brain network graph theory measures from 18,445 participants of the UK Biobank (44-80 years). The eighteen measures studied showed low heritability (mean h2SNP =0.12) and were highly genetically correlated. Genome-wide association studies for these measures observed 14 significant variants associated with strength of somatomotor and limbic networks. These intergenic variants were located near the PAX8 gene on chromosome 2. Gene-based analyses identified five significantly associated genes for five of the network measures, which have been implicated in sleep duration, neuronal differentiation/development, cancer, and susceptibility to neurodegenerative diseases. Genetic correlations with other traits were examined and significant correlations were observed with sleep measures and psychiatric symptoms. Further analysis found that somatomotor network strength was phenotypically associated with sleep duration and insomnia. Single nucleotide polymorphism (SNP) and gene level associations with functional network measures were identified, which may help uncover novel biological pathways relevant to human brain functional network integrity and diseases that affect it.

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“…The first case study explores the relation of miRNAs with bioentities in the context of GBM. A recent comprehensive review explored miRNA’s role in eight hallmarks of GBM ( 62 ). We explored the first two hallmarks of GBM in our case study and compared the findings using our interface with that provided in the review.…”

Section: Resultsmentioning

confidence: 99%

emiRIT: a text-mining-based resource for microRNA information

et al. 2021

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microRNAs (miRNAs) are essential gene regulators, and their dysregulation often leads to diseases. Easy access to miRNA information is crucial for interpreting generated experimental data, connecting facts across publications and developing new hypotheses built on previous knowledge. Here, we present extracting miRNA Information from Text (emiRIT), a text-miningbased resource, which presents miRNA information mined from the literature through a user-friendly interface. We collected 149 ,233 miRNA –PubMed ID pairs from Medline between January 1997 and May 2020. emiRIT currently contains ‘miRNA –gene regulation’ (69 ,152 relations), ‘miRNA disease (cancer)’ (12 ,300 relations), ‘miRNA –biological process and pathways’ (23, 390 relations) and circulatory ‘miRNAs in extracellular locations’ (3782 relations). Biological entities and their relation to miRNAs were extracted from Medline abstracts using publicly available and in-house developed text-mining tools, and the entities were normalized to facilitate querying and integration. We built a database and an interface to store and access the integrated data, respectively. We provide an up-to-date and user-friendly resource to facilitate access to comprehensive miRNA information from the literature on a large scale, enabling users to navigate through different roles of miRNA and examine them in a context specific to their information needs. To assess our resource’s information coverage, we have conducted two case studies focusing on the target and differential expression information of miRNAs in the context of cancer and a third case study to assess the usage of emiRIT in the curation of miRNA information. Database URL: https://research.bioinformatics.udel.edu/emirit/

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Aberrant miRNAs Regulate the Biological Hallmarks of Glioblastoma

Cited by 17 publications

References 276 publications

Novel genetic variants associated with brain functional networks in 18,445 adults from the UK Biobank

Novel genetic variants associated with brain functional networks in 18,445 adults from the UK Biobank

Novel genetic variants associated with brain functional networks in 18,445 adults from the UK Biobank

emiRIT: a text-mining-based resource for microRNA information

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