A concise review on the role of <scp>MIR100HG</scp> in human disorders

Ghafouri‐Fard, Soudeh; Harsij, Atefeh; Farahzadi, Hossein; Hussen, Bashdar Mahmud; Taheri, Mohammad; Mokhtari, Majid

doi:10.1111/jcmm.17875

Cited by 6 publications

(3 citation statements)

References 41 publications

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“…Four significantly differentially expressed lncRNAs between our study groups with and without DM, namely NEAT1, MIR100HG, HIF1A-AS3, and MIR29B2CHG , have already been associated with CVDs 32 , 41 – 48 , mainly with the proliferation, migration, apoptosis, and phenotypic switch of SMCs (Table 3 ) 41 , 46 , 47 , 49 – 51 .…”

Section: Discussionmentioning

confidence: 74%

“…However, because the other isoforms affect the behaviour of SMCs, it can be assumed that HIF1A-AS3 , significantly downregulated in the DMplus study group, might also affect the function of SMCs. The lncRNAs MIR100HG and MIR29B2CHG have only been mentioned in the context of cardiomyopathy and heart failure 42 , 48 . So far, there is no information about their potential role in PAD, DM or SMCs.…”

Section: Discussionmentioning

confidence: 99%

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Transcriptomics analysis of long non-coding RNAs in smooth muscle cells from patients with peripheral artery disease and diabetes mellitus

Yundung,

Mohammed,

Paneni

et al. 2024

Sci Rep

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Diabetes mellitus (DM) is a significant risk factor for peripheral arterial disease (PAD), and PAD is an independent predictor of cardiovascular disorders (CVDs). Growing evidence suggests that long non-coding RNAs (lncRNAs) significantly contribute to disease development and underlying complications, particularly affecting smooth muscle cells (SMCs). So far, no study has focused on transcriptome analysis of lncRNAs in PAD patients with and without DM. Tissue samples were obtained from our Vascular Biobank. Due to the sample’s heterogeneity, expression analysis of lncRNAs in whole tissue detected only ACTA2-AS1 with a 4.9-fold increase in PAD patients with DM. In contrast, transcriptomics of SMCs revealed 28 lncRNAs significantly differentially expressed between PAD with and without DM (FDR < 0.1). Sixteen lncRNAs were of unknown function, six were described in cancer, one connected with macrophages polarisation, and four were associated with CVDs, mainly with SMC function and phenotypic switch (NEAT1, MIR100HG, HIF1A-AS3, and MRI29B2CHG). The enrichment analysis detected additional lncRNAs H19, CARMN, FTX, and MEG3 linked with DM. Our study revealed several lncRNAs in diabetic PAD patients associated with the physiological function of SMCs. These lncRNAs might serve as potential therapeutic targets to improve the function of SMCs within the diseased tissue and, thus, the clinical outcome.

show abstract

Section: Discussionmentioning

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Transcriptomics analysis of long non-coding RNAs in smooth muscle cells from patients with peripheral artery disease and diabetes mellitus

Yundung,

Mohammed,

Paneni

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…It has been functionally related to several signaling pathways, such as TGF-β, Wnt, Hippo, and ERK/MAPK. Dysregulation of MIR100HG has been detected in a diversity of cancers [63,64].…”

Section: Discussionmentioning

confidence: 99%

Co-Expression Network Analysis Unveiled lncRNA-mRNA Links Correlated to Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitor Resistance and/or Intermediate Epithelial-to-Mesenchymal Transition Phenotypes in a Human Non-Small Cell Lung Cancer Cellular Model System

Fustaino,

Papoff,

Ruberti

et al. 2024

IJMS

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We investigated mRNA-lncRNA co-expression patterns in a cellular model system of non-small cell lung cancer (NSCLC) sensitive and resistant to the epithelial growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) erlotinib/gefitinib. The aim of this study was to unveil insights into the complex mechanisms of NSCLC targeted therapy resistance and epithelial-to-mesenchymal transition (EMT). Genome-wide RNA expression was quantified for weighted gene co-expression network analysis (WGCNA) to correlate the expression levels of mRNAs and lncRNAs. Functional enrichment analysis and identification of lncRNAs were conducted on modules associated with the EGFR-TKI response and/or intermediate EMT phenotypes. We constructed lncRNA-mRNA co-expression networks and identified key modules and their enriched biological functions. Processes enriched in the selected modules included RHO (A, B, C) GTPase and regulatory signaling pathways, apoptosis, inflammatory and interleukin signaling pathways, cell adhesion, cell migration, cell and extracellular matrix organization, metabolism, and lipid metabolism. Interestingly, several lncRNAs, already shown to be dysregulated in cancer, are connected to a small number of mRNAs, and several lncRNAs are interlinked with each other in the co-expression network.

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Discovering the role of microRNAs and exosomal microRNAs in chest and pulmonary diseases: a spotlight on chronic obstructive pulmonary disease

Nan,

Liu,

Yao

2024

Mol Genet Genomics

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A concise review on the role of MIR100HG in human disorders

Cited by 6 publications

References 41 publications

Transcriptomics analysis of long non-coding RNAs in smooth muscle cells from patients with peripheral artery disease and diabetes mellitus

Transcriptomics analysis of long non-coding RNAs in smooth muscle cells from patients with peripheral artery disease and diabetes mellitus

Co-Expression Network Analysis Unveiled lncRNA-mRNA Links Correlated to Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitor Resistance and/or Intermediate Epithelial-to-Mesenchymal Transition Phenotypes in a Human Non-Small Cell Lung Cancer Cellular Model System

Discovering the role of microRNAs and exosomal microRNAs in chest and pulmonary diseases: a spotlight on chronic obstructive pulmonary disease

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