A review on methods for predicting miRNA–mRNA regulatory modules

M Madhumita, S Paul - Journal of Integrative Bioinformatics, 2022 - degruyter.com
Identification of complex interactions between miRNAs and mRNAs in a regulatory network
helps better understand the underlying biological processes. Previously, identification of …

Mechanistic computational models of microRNA-mediated signaling networks in human diseases

C Zhao, Y Zhang, AS Popel - International journal of molecular sciences, 2019 - mdpi.com
MicroRNAs (miRs) are endogenous non-coding RNA molecules that play important roles in
human health and disease by regulating gene expression and cellular processes. In recent …

Fatty acid synthase is the key regulator of fatty acid metabolism and is related to immunotherapy in bladder cancer

Q Xiong, D Feng, Z Wang, Y Ying, C Xu, Q Wei… - Frontiers in …, 2022 - frontiersin.org
Fatty acid metabolism (FAM) genes are potentially useful for predicting prognosis and
immunotherapy response in bladder cancer (BC). To examine this, we constructed a …

[HTML][HTML] Computational identification of microRNAs associated to both epithelial to mesenchymal transition and NGAL/MMP-9 pathways in bladder cancer

L Falzone, S Candido, R Salemi, MS Basile, A Scalisi… - Oncotarget, 2016 - ncbi.nlm.nih.gov
Bladder cancer is one of the leading cancer of the urinary tract. It is often diagnosed at
advanced stage of the disease. To date, no specific and effective early detection biomarkers …

miRModuleNet: detecting miRNA-mRNA regulatory modules

M Yousef, G Goy, B Bakir-Gungor - Frontiers in Genetics, 2022 - frontiersin.org
Increasing evidence that microRNAs (miRNAs) play a key role in carcinogenesis has
revealed the need for elucidating the mechanisms of miRNA regulation and the roles of …

miRcorrNet: machine learning-based integration of miRNA and mRNA expression profiles, combined with feature grouping and ranking

M Yousef, G Goy, R Mitra, CM Eischen, A Jabeer… - PeerJ, 2021 - peerj.com
A better understanding of disease development and progression mechanisms at the
molecular level is critical both for the diagnosis of a disease and for the development of …

An integrated bioinformatics analysis towards the identification of diagnostic, prognostic, and predictive key biomarkers for urinary bladder cancer

M Sarafidis, GI Lambrou, V Zoumpourlis, D Koutsouris - Cancers, 2022 - mdpi.com
Simple Summary Bladder cancer is evidently a challenge as far as its prognosis and
treatment are concerned. The investigation of potential biomarkers and therapeutic targets is …

[HTML][HTML] miR-140-3p inhibits bladder cancer cell proliferation and invasion by targeting FOXQ1

Y Wang, J Chen, X Wang, K Wang - Aging (Albany NY), 2020 - ncbi.nlm.nih.gov
Upregulation of the forkhead box protein Q1 (FOXQ1) promotes bladder cancer (BCa) cell
growth and metastasis. Factors affecting FOXQ1 expression at the post-transcriptional level …

Integrative Analysis of miRNA‐mRNA and miRNA‐miRNA Interactions

L Guo, Y Zhao, S Yang, H Zhang… - BioMed research …, 2014 - Wiley Online Library
MicroRNAs (miRNAs) are small, noncoding regulatory molecules. They are involved in
many essential biological processes and act by suppressing gene expression. The present …

miRGTF-net: Integrative miRNA-gene-TF network analysis reveals key drivers of breast cancer recurrence

S Nersisyan, A Galatenko, V Galatenko, M Shkurnikov… - PLoS …, 2021 - journals.plos.org
Analysis of regulatory networks is a powerful framework for identification and quantification
of intracellular interactions. We introduce miRGTF-net, a novel tool for construction of miRNA …