miR-375 down-regulation of the rearranged L-myc fusion and hypoxia-induced gene domain protein 1A genes and effects on Sertoli cell proliferation

Guo, Jia; Liu, Xin; Yang, Yuwei; Liang, Mengdi; Bai, Chen; Zhao, Zhihui; Sun, Boxing

doi:10.5713/ajas.17.0338

Cited by 16 publications

(11 citation statements)

References 15 publications

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“…Recent studies have demonstrated that miR-221-3p functions as an oncogene in specific types of human cancer, including HCC (Wang et al, 2019), non-small cell lung cancer (Yin, Zhang & Li, 2019), glioma (Milani et al, 2019), gastric cancer and breast cancer (Deng et al, 2017). It was also reported that miR-375 inhibits the proliferation and migration of many cancer cells (Guo et al, 2018;Shen et al, 2014;Wu et al, 2017). Moreover, miR-221 promotes HCC cell migration by regulating the expression of plant homeodomain finger 2 (PHF2), which was demonstrated to be a target gene of miR-221 (Fu et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Aberrant expression of two miRNAs promotes proliferation, hepatitis B virus amplification, migration and invasion of hepatocellular carcinoma cells: evidence from bioinformatic analysis and experimental validation

Liu

Cao

Cai

et al. 2020

PeerJ

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Background As key negative regulators of gene expression, microRNAs (miRNAs) play an important role in the onset and progression of hepatocellular carcinoma (HCC). This study aimed to identify the miRNAs involved in HCC carcinogenesis and their regulated genes. Methods The Gene Expression Omnibus (GEO) dataset (GSE108724) was chosen and explored to identify differentially expressed miRNAs using GEO2R. For the prediction of potential miRNA target genes, the miRTarBase was explored. Enrichment analysis of Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) was performed by the DAVID online tool. The hub genes were screened out using the CytoHubba plug-in ranked by degrees. The networks between miRNAs and hub genes were constructed by Cytoscape software. MiRNA mimics and negative control were transfected into HCC cell lines and their effects on proliferation, hepatitis B virus DNA (HBV-DNA) replication, TP53 expression, migration, and invasion were investigated. The following methods were employed: MTT assay, quantitative PCR (qPCR) assay, western blotting, wound healing assay, and transwell assay. Results A total of 50 differentially expressed miRNAs were identified, including 20 upregulated and 30 downregulated miRNAs, in HCC tumor tissues compared to matched adjacent tumor-free tissues. The top three upregulated (miR-221-3p, miR-222-3p, and miR-18-5p) and downregulated (miR-375, miR-214-3p and miR-378d) miRNAs, ranked by |log2 fold change (log2FC)|, were chosen and their potential target genes were predicted. Two gene sets, targeted by the upregulated and the downregulated miRNAs, were identified respectively. GO and KEGG pathway analysis showed that the predicted target genes of upregulated and downregulated miRNAs were mainly enriched in the cell cycle and cancer-related pathways. The top ten hub nodes of gene sets ranked by degrees were identified as hub genes. Analysis of miRNA-hub gene network showed that miR-221-3p and miR-375 modulated most of the hub genes, especially involving regulation of TP53. The q-PCR results showed that miR-221-3p and miR-375 were markedly upregulated and downregulated, respectively, in HCC cells and HCC clinical tissue samples compared to non-tumoral tissues. Furthermore, miR-221-3p overexpression significantly enhanced proliferation, HBV-DNA replication, as well as the migration and invasion of HCC cells, whereas miR-375 overexpression resulted in opposite effects. Western blotting analysis showed that the overexpression of miR-221-3p and miR-375 reduced and increased TP53 expression, respectively. Conclusion The present study revealed that miR-211-3p and miR-375 may exert vital effects on cell proliferation, HBV-DNA replication, cell migration, and invasion through the regulation of TP53 expression in HCC.

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Section: Discussionmentioning

confidence: 99%

Aberrant expression of two miRNAs promotes proliferation, hepatitis B virus amplification, migration and invasion of hepatocellular carcinoma cells: evidence from bioinformatic analysis and experimental validation

Liu

Cao

Cai

et al. 2020

PeerJ

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“…In recent years, more and more studies have confirmed that miRNA is involved in a variety of diseases and pathophysiological processes of tumors. Studies have reported that miR-375 plays an important role in myocardial infarction repair and testicular cell proliferation [2,3], but its role in bronchial epithelial cells is not yet clear. Kr€ uppel-like transcription factors (KLFs) form a subclass of $17 zinc fingers, which contain a DNA-binding transcription factor expressed in humans and belong to the specific protein 1 (Sp1)/KLF zinc finger-binding transcription factor family [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Formaldehyde inhibits proliferation of bronchial epithelial cells by down-regulating miR-375

2019

Artificial Cells, Nanomedicine, and Biotechnology

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Objective: To study the effect of formaldehyde on the proliferation of human bronchial epithelial cells 16HBE and to explore its mechanism. Methods: MTT assay was used to detect the inhibition rate of formaldehyde-treated 16HBE cells; FCOH þ miR-375 group (transfected miR-375 mimics), FCOH þ miR-con group (transfected miR-con), FCOH þ si-KLF4 group (transfected si-KLF4) and FCOH þ si-con group (transfected si-con), were transfected into 16HBE cells by liposome method, then treated with formaldehyde 200 lmol/L for 24 h; qRT-PCR was used to detect the expression of miR-375 in each group; the protein expression of KLF4 in each group was detected by Western blot. The fluorescence activity of each group was detected by dual-fluorescein gene detection assay. Results: Compared with 16HBE cells in Control group, the expression of miR-375 was significantly decreased in FCOH group, cell proliferation was significantly decreased, and KLF4 expression was significantly increased (p < .05). Overexpression of miR-375 and KLF4 knockdown could reverse the inhibition effect of formaldehyde on proliferation of 16HBE cells; KLF4 is a target of miR-375. KLF4 could reverse the promotion of miR-375 on the proliferation of formaldehyde-treated 16HBE cells. Conclusion: Formaldehyde can inhibit the proliferation of human bronchial epithelial cells. The mechanism may be related to the down-regulation of miR-375 targeting KLF4, which will provide support for the treatment of chronic respiratory diseases.

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“…The next identified biomarker gene is COLCA2 (ENSG00000214290), which participates in the tumorigenesis of colorectal cancer ( Loo et al, 2017 ; Guo et al, 2018 ). As for the relationship between the expression of such gene and viral infection in the respiratory system, COLCA2 has been correlated with the dysfunction of lung tissues under chronic diseases, including chronic obstructive pulmonary diseases ( Verma, 2016 ) and chronic viral infection ( Shi et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection

Zhang

Zeng

et al. 2021

Front. Cell Dev. Biol.

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The world-wide Coronavirus Disease 2019 (COVID-19) pandemic was triggered by the widespread of a new strain of coronavirus named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Multiple studies on the pathogenesis of SARS-CoV-2 have been conducted immediately after the spread of the disease. However, the molecular pathogenesis of the virus and related diseases has still not been fully revealed. In this study, we attempted to identify new transcriptomic signatures as candidate diagnostic models for clinical testing or as therapeutic targets for vaccine design. Using the recently reported transcriptomics data of upper airway tissue with acute respiratory illnesses, we integrated multiple machine learning methods to identify effective qualitative biomarkers and quantitative rules for the distinction of SARS-CoV-2 infection from other infectious diseases. The transcriptomics data was first analyzed by Boruta so that important features were selected, which were further evaluated by the minimum redundancy maximum relevance method. A feature list was produced. This list was fed into the incremental feature selection, incorporating some classification algorithms, to extract qualitative biomarker genes and construct quantitative rules. Also, an efficient classifier was built to identify patients infected with SARS-COV-2. The findings reported in this study may help in revealing the potential pathogenic mechanisms of COVID-19 and finding new targets for vaccine design.

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miR-375 down-regulation of the rearranged L-myc fusion and hypoxia-induced gene domain protein 1A genes and effects on Sertoli cell proliferation

Cited by 16 publications

References 15 publications

Aberrant expression of two miRNAs promotes proliferation, hepatitis B virus amplification, migration and invasion of hepatocellular carcinoma cells: evidence from bioinformatic analysis and experimental validation

Aberrant expression of two miRNAs promotes proliferation, hepatitis B virus amplification, migration and invasion of hepatocellular carcinoma cells: evidence from bioinformatic analysis and experimental validation

RETRACTED ARTICLE: Formaldehyde inhibits proliferation of bronchial epithelial cells by down-regulating miR-375

Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection

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