Bioinformatic Analysis of Differentially Expressed Genes and Screening of Hub Genes in Uveal Melanoma Cells with BRCA1-Associated Protein 1 Related Protein 1 Depletion

2020 ◽  
Vol 16 (8) ◽  
pp. 1205-1218
Author(s):  
Wei Li ◽  
Aiqin Nie ◽  
Qiang Li ◽  
He Cao ◽  
Yinwei Song ◽  
...  
Keyword(s):  
Cell Adhesion ◽  
Differentially Expressed Genes ◽  
Uveal Melanoma ◽  
Wnt Signaling Pathway ◽  
Tumor Development ◽  
Bioinformatic Analysis ◽  
Melanoma Cells ◽  
Differentially Expressed ◽  
Data Sets ◽  
And Migration

Recent studies have found that chromosome 3 is frequently mutated in metastatic uveal melanoma (UVM), which leads to the loss of BAP1 expression or the weakening of BRCA1-associated protein 1 (BAP1) function and promotes metastasis of uveal melanoma cells. However, the specific signaling pathways that are affected by BAP1 depletion in uveal melanoma remain unclear. Our aim in this study was to verify the effect and regulatory mechanism of BAP1 on uveal melanoma. RT-qPCR and western blotting results showed that BAP1 was significantly down-regulated in OCM-1A cells treated with a BAP1 shRNA vector. MTT, cell scratch and transwell migration assays showed that low expression of BAP1 significantly promoted the proliferation and migration of UVM cells. A total of 269 up-regulated and 807 down-regulated genes were identified from the combined GSE110193 and GSE48863 data sets. These differentially expressed genes are mainly involved in the composition of extracellular matrix and the regulation of the Wnt signaling pathway and are closely related to the cell adhesion pathway. CXCL8, COL5A3, COL11A1, and COL12A1 were among the differentially expressed genes and are closely related to the prognosis of UVM. Therefore, the deletion of BAP1 is closely related to poor prognosis of UVM and is a risk factor for UVM metastasis. The potential targets of BAP1 include CXCL8, COL5A3, COL11A1, and COL12A1. It is believed that BAP1 regulates UVM cell adhesion through these four genes and ultimately regulates tumor development and migration.

scholarly journals Assessment of Embryo-Induced Transcriptomic Changes in Hamster Uterus Using RNA-Seq

2018 ◽  
Vol 46 (5) ◽  
pp. 1868-1878 ◽  
Author(s):  
Ming-Yu Huang ◽  
Wen-Qian Zhang ◽  
Miao Zhao ◽  
Can Zhu ◽  
Jia-Peng He ◽  
...  
Keyword(s):  
Differentially Expressed Genes ◽  
Embryo Implantation ◽  
Bioinformatic Analysis ◽  
Differentially Expressed ◽  
Implantation Site ◽  
Rna Seq ◽  
Promoter Regions ◽  
Functional Clustering ◽  
Gene Network Analysis ◽  
Transcriptomic Changes

Background/Aims: The mouse is widely used as an animal model for studying human embryo implantation. However, the mouse is unique in that both ovarian progesterone and estrogen are critical to implantation, whereas in the majority of species (e.g. human and hamster) implantation can occur in the presence of progesterone alone. Methods: In this study, we analyzed embryo-induced transcriptomic changes in the hamster uterus during embryo implantation by using RNA-seq. Differentially expressed genes were characterized by bioinformatic analysis. Results: We identified a total of 781 differentially expressed genes, of which 367 genes were up-regulated and 414 genes were down-regulated at the implantation site compared to the inter-implantation site. Functional clustering and gene network analysis highlighted the cell cycle process in uterus upon embryo implantation. By examining of the promoter regions of differentially expressed genes, we identified 7 causal transcription factors. Additionally, through connectivity map (CMap) analysis, multiple compounds were identified to have potential anti-implantation effects due to their ability to reverse embryo-induced transcriptomic changes. Conclusion: Our study provides a valuable resource for in-depth understanding of the mechanism underlying embryo implantation.

scholarly journals Suppression of long noncoding RNA MALAT1 inhibits the development of uveal melanoma via microRNA-608-mediated inhibition of HOXC4

2020 ◽  
Vol 318 (5) ◽  
pp. C903-C912 ◽  
Author(s):  
Shuai Wu ◽  
Han Chen ◽  
Ling Zuo ◽  
Hai Jiang ◽  
Hongtao Yan
Keyword(s):  
Cell Cycle ◽  
Uveal Melanoma ◽  
Noncoding Rna ◽  
Cell Cycle Progression ◽  
Melanoma Cells ◽  
Cell Cycle Distribution ◽  
Invasion And Migration ◽  
And Migration

This study explored the effects of the metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) on the development of uveal melanoma. Moreover, the role of the MALAT1/microRNA-608 (miR-608)/homeobox C4 (HOXC4) axis was assessed by evaluating the proliferation, invasion, and migration, as well as the cell cycle distribution of uveal melanoma in vitro after knocking down MALAT1 or HOXC4 and/or overexpression of miR-608 in uveal melanoma cells (MUM-2B and C918). Moreover, the effects of the MALAT1/miR-608/HOXC4 axis in uveal melanoma in vivo were further evaluated by injecting the C918 cells into the NOD/SCID mice. HOXC4 was found to be a gene upregulated in uveal melanoma, while knockdown of its expression resulted in suppression of uveal melanoma cell migration, proliferation, and invasion, as well as cell cycle progression. In addition, the upregulation of miR-608 reduced the expression of HOXC4 in the uveal melanoma cells, which was rescued by overexpression of MALAT1. Hence, MALAT1 could upregulate the HOXC4 by binding to miR-608. The suppressed progression of uveal melanoma in vitro by miR-608 was rescued by overexpression of MALAT1. Additionally, in vivo assays demonstrated that downregulation of MALAT1 could suppress tumor growth through downregulation of HOXC4 expression via increasing miR-608 in uveal melanoma. In summary, MALAT1 downregulation functions to restrain the development of uveal melanoma via miR-608-mediated inhibition of HOXC4.

scholarly journals Differentially expressed genes and interacting pathways in bladder cancer revealed by bioinformatic analysis

2014 ◽  
Vol 10 (4) ◽  
pp. 1746-1752 ◽  
Author(s):  
YINZHOU SHEN ◽  
XUELEI WANG ◽  
YONGCHAO JIN ◽  
JIASUN LU ◽  
GUANGMING QIU ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Differentially Expressed Genes ◽  
Bioinformatic Analysis ◽  
Differentially Expressed

scholarly journals Data-driven detection of subtype-specific and differentially expressed genes

2019 ◽  
Author(s):  
Lulu Chen ◽  
Yingzhou Lu ◽  
Guoqiang Yu ◽  
Robert Clarke ◽  
Jennifer E. Van Eyk ◽  
...  
Keyword(s):  
Differentially Expressed Genes ◽  
De Novo ◽  
Statistical Significance ◽  
Differentially Expressed ◽  
Superior Performance ◽  
Distribution Model ◽  
Data Sets ◽  
Test Statistic ◽  
Detection Power ◽  
Cell Subtype

Tissue or cell subtype-specific and differentially-expressed genes (SDEGs) are defined as being differentially expressed in a particular tissue or cell subtype among multiple subtypes. Detecting SDEGs plays a critical rolse in molecularly characterizing and identifying tissue or cell subtypes, and facilitating supervised deconvolution of complex tissues. Unfortunately, classic differential analysis assumes a convenient null hypothesis and associated test statistic that is subtype-non-specific and thus, resulting in a high false positive rate and/or lower detection power with respect to particular subtypes. Here we introduce One-Versus-Everyone Fold Change (OVE-FC) test for detecting SDEGs. To assess the statistical significance of such test, we also propose the scaled test statistic OVE-sFC together with a mixture null distribution model and a tailored permutation scheme. Validated with realistic synthetic data sets on both type 1 error and detection power, OVE-FC/sFC test applied to two benchmark gene expression data sets detects many known and de novo SDEGs. Subsequent supervised deconvolution results, obtained using the SDEGs detected by OVE-FC/sFC test, showed superior performance in deconvolution accuracy when compared with popular peer methods.

scholarly journals Analysis of Differentially Expressed Genes in Endothelial Cells Following Tumor Cell Adhesion, and the Role of PRKAA2 and miR-124-3p

2021 ◽  
Vol 9 ◽  
Author(s):  
Yan Pan ◽  
Marhaba Abdureyim ◽  
Qing Yao ◽  
Xuejun Li
Keyword(s):  
Endothelial Cells ◽  
Cell Adhesion ◽  
Tumor Cell ◽  
Tumor Cells ◽  
Differentially Expressed Genes ◽  
Differentially Expressed ◽  
Expression Level ◽  
Luciferase Reporter ◽  
Tumor Cell Adhesion ◽  
Tumor Endothelium

Tumor cell adhesion to the endothelium is one pattern of tumor–endothelium interaction and a key step during tumor metastasis. Endothelium integrity is an important barrier to prevent tumor invasion and metastasis. Changes in endothelial cells (ECs) due to tumor cell adhesion provide important signaling mechanisms for the angiogenesis and metastasis of tumor cells. However, the changes happened in endothelial cells when tumor–endothelium interactions are still unclear. In this study, we used Affymetrix Gene Chip Human Transcriptome Array 2.0. and quantitative real-time PCR (qPCR) to clarify the detailed gene alteration in endothelial cells adhered by prostate tumor cells PC-3M. A total of 504 differentially expressed mRNAs and 444 lncRNAs were obtained through chip data analysis. Gene Ontology (GO) function analysis showed that differentially expressed genes (DEGs) mainly mediated gland development and DNA replication at the biological level; at the cell component level, they were mainly involved in the mitochondrial inner membrane; and at the molecular function level, DEGs were mainly enriched in ATPase activity and catalytic activity. Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway analysis showed that the DEGs mainly regulated pathways in cancer, cell cycle, pyrimidine metabolism, and the mTOR signaling pathway. Then, we constructed a protein–protein interaction functional network and mRNA–lncRNA interaction network using Cytoscape v3.7.2. to identify core genes, mRNAs, and lncRNAs. The miRNAs targeted by the core mRNA PRKAA2 were predicted using databases (miRDB, RNA22, and Targetscan). The qPCR results showed that miR-124-3p, the predicted target miRNA of PRKAA2, was significantly downregulated in endothelial cells adhered by PC-3M. With a dual luciferase reporter assay, the binding of miR-124-3p with PRKAA2 3’UTR was confirmed. Additionally, by using the knockdown lentiviral vectors of miR-124-3p to downregulate the miR-124-3p expression level in endothelial cells, we found that the expression level of PRKAA2 increased accordingly. Taken together, the adhesion of tumor cells had a significant effect on mRNAs and lncRNAs in the endothelial cells, in which PRKAA2 is a notable changed molecule and miR-124-3p could regulate its expression and function in endothelial cells.

scholarly journals Bioinformatic Analysis: Screening and Identification of Differentially Expressed Genes Modified by m6A in Ovarian Cancer

2020 ◽  
Author(s):  
Huidong Liu ◽  
Wen-wen Zhang ◽  
Ge Lou
Keyword(s):  
Ovarian Cancer ◽  
Differentially Expressed Genes ◽  
Clinical Sample ◽  
Therapeutic Targets ◽  
Enrichment Analysis ◽  
Underlying Mechanism ◽  
Bioinformatic Analysis ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Kegg Pathways

Abstract Background: N6-methyladenosine(m6A) is one of the most common RNA modifications that occurs at the nitrogen-6 position of adenine. Emerging evidence has revealed that regulatory functions of m6A play an essential role in the development of cancer. However the study of m6A in ovarian cancer(OC) is still in our infancy. In this work ,we aimed to identify and analysis the differentially expressed genes(DEGs） modified by m6A which can provide new therapeutic targets and key biomarkers in OC.Methods: We downloaded Microarray datasets GSE146553 and GSE124766 from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified by GEO2R analysis tools. Subsequently, The DAVID database was used to construct Enrichment analysis of GO and KEGG pathways. Next, the DEGs modified by m6A were identified by m6AVar database. Finally, the functional analysis and clinical sample validation of these genes were verified by ONCOMINE, GEPIA, cBioPortal online platform and Kaplan-Meier Plotter.Results:152 DEGs were selected ,and the DEGs were mainly enriched in extracellular exosome, spindle microtubule, response to hypoxia and cell cycle .And we identified 15 DEGs which were modified by m6A:MAPK10、MXRA5、CHD7、MECOM、SCN7A、GREB、PRUNE2、MX2、TOP2A、JAM2、DST、LAPTM5、CDKN2A、GATM and ANGPTL1. After statistical analysis, two DEGs (SCN7A and GAMT) were selected for detailed study. We revealed that SCN7A and GAMT were expressed at a low level in OC. Afterwards, Survival analysis showed that SCN7A and GAMT expression were correlated with OC overall survival. And the expression of SCN7A and GAMT mRNA decreasing in different TNM stages. Finally, we presumed that the modification of m6A spongs GAMT via EIF4A3 or FUS to participate in the occcurrence and the development of OC.Conclusion: Altogether, the current study identified and analysised the DEGs modified by m6A in OC. It will help us to investigate the underlying mechanism and progression of OC. In addition, it can provide new diagnostic markers and potential therapeutic targets in OC.

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