Browse
Submit Data
Databases
API
Help

Dataset Information

6 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrated network analysis identifies hsa-miR-4756-3p as a regulator of FOXM1 in Triple Negative Breast Cancer.

ABSTRACT: Both aberrantly expressed mRNAs and micro(mi)RNAs play important roles in cancer cell function, which makes integration analysis difficult. In this study, we first applied master regulator analysisalgorithm and confirmed hsa-miR-4756-3p as a candidate miRNA in triple negative breast cancer (TNBC) patients; hsa-miR-4756-3p could regulate TNBC cell line apoptosis, proliferation, migration, and cell cycle as well as suppress TGF-β1 signalling andtumour growth. In TNBC, forkhead box protein M1 (FOXM1)was found to be an hsa-miR-4756-3p target gene, and FOXM1 knockout completely inhibited hsa-miR-4756-3p-induced cell migration and metastasis, TGF-β1 signalling, and epithelial mesenchymal signal activation, which indicated that hsa-miR-4756-3p functions via the FOXM1-TGFβ1-EMT axis.

SUBMITTER: Gu Y

PROVIDER: S-EPMC6761188 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

HOXA11-AS regulates NIPAL3 via hsa-miRNA-19a-3p, hsa-miR-141-3p and hsa-miR-140-5p in keloid fibroblast: stepwise bioinformatical screen for an integrated molecular network

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-12-22 | GSE191267 | GEO

mir-101-3p is a key regulator of tumor metabolism in triple negative breast cancer targeting AMPK.

Project description: Not available

| S-EPMC5085220 | biostudies-literature

Hsa-miR-137, hsa-miR-520e and hsa-miR-590-3p perform crucial roles in Lynch syndrome.

Project description: Not available

| S-EPMC4998582 | biostudies-literature

HOXA11-AS regulates NIPAL3 via hsa-miRNA-19a-3p, hsa-miR-141-3p and hsa-miR-140-5p in keloid fibroblast: stepwise bioinformatical screen for an integrated molecular network [RNA-Seq]

Project description:Purpose: To explore the potential integrated molecular network by long non-coding RNA HOXA11-AS in keloid fibroblast Methods: Using primary cultured keloid-derived fibroblasts (sample 0), small interfering RNAs were designed and transfected into two keloid fibroblast samples (samples 1 and 2) to knockdown HOXA11-AS. One nonspecific transfection control (sample 3) and one blank control (sample 4) were used to remove nonspecific overlap from the studied group. The lncRNAs, messenger RNAs (mRNAs), and microRNAs (miRNAs) of five samples were sequenced to identify differentially expressed (DE) profiles in HOXA11-AS-knockdown keloid fibroblasts in samples 1 and 2, which facilitated removal of overlap with the nonspecific controls (samples 3 and 4). Using stepwise bioinformatic analysis, DE lncRNA and mRNAs characterized by close and natural antisense relationship were constructed into an interactive network by bioinformatic analysis. Based on this network, a lncRNA–mRNA–protein interaction network was extended by integration of the human protein–protein interaction (PPI) network. The Page Rank algorithm was used to score each mRNA in the extended LMN network to reveal significant functioning genes. Next, screened genes were validated by real-time PCR and western blot ting. Validated genes were used to construct a competing endogenous network based on DE miRNA profiles. Results: SNED1, NIPAL3, and VTN were detected significantly changed in HOXA11-AS-knockdown keloid fibroblasts. Only NIPAL3 was predicted to be involved in an intergated network for HOXA11-AS via three competing endogenous miRNAs (hsa-miRNA-19a-3p, hsa-miR-141-3p, and hsa-miR-140- 5p). Conclusion: An interactive molecular network of HOXA11-AS–three miRNAs–NIPAL3 was predicted in keloid fibroblasts

2021-12-22 | GSE191265 | GEO