Book ChapterDOI
Integration of miRNA and mRNA Expression Data for Understanding Etiology of Gynecologic Cancers.
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TLDR
An existing robust mutual information-based Maximum-Relevance Maximum-Significance algorithm has been used for identification of miRNA-mRNA regulatory modules in gynecologic cancer and the effectiveness of the proposed approach is compared with the existing methods.Abstract:
Dysregulation of miRNA-mRNA regulatory networks is very common phenomenon in any diseases including cancer. Altered expression of biomarkers leads to these gynecologic cancers. Therefore, understanding the underlying biological mechanisms may help in developing a robust diagnostic as well as a prognostic tool. It has been demonstrated in various studies that the pathways associated with gynecologic cancer have dysregulated miRNA as well as mRNA expression. Identification of miRNA-mRNA regulatory modules may help in understanding the mechanism of altered gynecologic cancer pathways. In this regard, an existing robust mutual information-based Maximum-Relevance Maximum-Significance algorithm has been used for identification of miRNA-mRNA regulatory modules in gynecologic cancer. A set of miRNA-mRNA modules are identified first than their association with gynecologic cancer are studied exhaustively. The effectiveness of the proposed approach is compared with the existing methods. The proposed approach is found to generate more robust integrated networks of miRNA-mRNA in gynecologic cancer.read more
Citations
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Journal ArticleDOI
miR‑133b is a potential diagnostic biomarker for Alzheimer's disease and has a neuroprotective role
TL;DR: In this paper, the authors examined the serum levels of miR-133b in patients with Alzheimer's disease (AD), and to explore its diagnostic value and neuroprotective role in AD.
Journal ArticleDOI
MicroRNA-mRNA Co-sequencing Identifies Transcriptional and Post-transcriptional Regulatory Networks Underlying Muscle Wasting in Cancer Cachexia
Geysson Javier Fernandez,Geysson Javier Fernandez,Juarez Henrique Ferreira,Ivan J. Vechetti,Leonardo Nazario de Moraes,Sarah Santiloni Cury,Paula Paccielli Freire,Jayson Gutiérrez,Renato Ferretti,Maeli Dal-Pai-Silva,Silvia Regina Rogatto,Robson Francisco Carvalho +11 more
TL;DR: RNA sequencing was used to simultaneously integrate and explore microRNAs and mRNAs expression profiles in the tibialis anterior muscles of the Lewis Lung Carcinoma model of cancer cachexia and identified post-transcriptional regulation by micro RNAs of genes involved in ECM organization, cell migration, transcription factors binding, ion transport, and the FoxO signaling pathway.
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Diagnostic Values of miR-21, miR-124, and M-CSF in Patients With Early Cervical Cancer.
Fang Ruan,Yun-Fei Wang,Yun Chai +2 more
TL;DR: The detection of serum microRNA-21, micro RNA-124, and macrophage colony-stimulating factor has good sensitivity and specificity in the diagnosis of cervical cancer.
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GATA1-Activated HNF1A-AS1 Facilitates the Progression of Triple-Negative Breast Cancer via Sponging miR-32-5p to Upregulate RNF38
Jingyu Yang,Heng Niu,Xin Chen +2 more
TL;DR: In this paper, the authors investigated the function and mechanism of HNF1A-AS1 in triple negative breast cancer (TNBC) and found that HNF 1AAS1 was highly expressed in TNBC tissues and cells.
Journal ArticleDOI
Identification of differentially expressed microRNAs and the potential of microRNA-455-3p as a novel prognostic biomarker in glioma.
TL;DR: Findings indicate miR-455-3p as a promising biomarker for the prognosis of glioma and a series of miRNAs with potential functional roles in the pathogenesis ofglioma.
References
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Journal ArticleDOI
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