scholarly journals High expression of MAPK-14 promoting the death of chondrocytes is an important signal of osteoarthritis process

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10656
Author(s):  
Zhiqin Deng ◽  
Xiaotian Hu ◽  
Murad Alahdal ◽  
Jianquan Liu ◽  
Zhe Zhao ◽  
...  
Keyword(s):  
Knee Joint ◽  
Propidium Iodide ◽  
High Expression ◽  
Human Chondrocytes ◽  
Hub Genes ◽  
Expression Levels ◽  
Joint Replacement Surgery ◽  
Normal Chondrocytes ◽  
Propidium Iodide Staining ◽  
Oa Chondrocytes

Background Osteoarthritis (OA) is one of the most common degenerative diseases worldwide. Many researchers are studying the pathogenesis of OA, however, it is still unclear. Methods Screening and validation of OA relevant hub genes are an important part of exploring their potential molecular mechanism. Therefore, this study aims to explore and verify the mechanisms of hub genes in the OA by bioinformatics, qPCR, fluorescence and propidium iodide staining. Results Microarray datasets GSE43923, GSE55457 and GSE12021 were collected in the Gene Expression Omnibus (GEO), including 45 samples, which divided into 23 osteoarthritis knee joint samples and 22 samples of normal knee joint. Thereafter, 265 differentiallyexpressedgenes (DEGs) were identified in all, which divided into 199 upregulated genes and 66 downregulated genes. The hub genes MAPK-14, PTPRC, PTPN12 were upregulated, while B9D1 was downregulated. In order to further confirm the expression of screening differential genes in human chondrocytes, the human chondrocytes were extracted from a joint replacement surgery and stained with toluidine blue for identification. Compared with normal chondrocytes, OA chondrocytes had high expression of COL I protein and low expression of COL II protein. The expression levels of MAPK-14, PTPRC and PTPN12 in OA chondrocytes were significantly higher than the expression levels of B9D1 in normal chondrocytes. Moreover, the inflammatory necrosis of OA chondrocytes was increased compared with the normal chondrocytes by propidium iodide staining. Conclusions The high expression of MAPK-14 works as a promoter of chondrocytes death and an important signal of the osteoarthritis process.

scholarly journals Bioinformatics study on genes related to a high-risk postoperative recurrence of lung adenocarcinoma

2021 ◽  
Vol 104 (3) ◽  
pp. 003685042110180
Author(s):  
Xiao Lin ◽  
Meng Zhou ◽  
Zehong Xu ◽  
Yusheng Chen ◽  
Fan Lin
Keyword(s):  
Cell Cycle ◽  
Gene Ontology ◽  
High Risk ◽  
Lung Adenocarcinoma ◽  
Candidate Genes ◽  
Postoperative Recurrence ◽  
High Expression ◽  
Ppi Network ◽  
Hub Genes ◽  
Expression Levels

In this study, we aimed to screen out genes associated with a high risk of postoperative recurrence of lung adenocarcinoma and investigate the possible mechanisms of the involvement of these genes in the recurrence of lung adenocarcinoma. We identify Hub genes and verify the expression levels and prognostic roles of these genes. Datasets of GSE40791, GSE31210, and GSE30219 were obtained from the Gene Expression Omnibus database. Enrichment analysis of gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were performed for the screened candidate genes using the DAVID database. Then, we performed protein–protein interaction (PPI) network analysis through the database STRING. Hub genes were screened out using Cytoscape software, and their expression levels were determined by the GEPIA database. Finally, we assessed the relationships of Hub genes expression levels and the time of survival. Forty-five candidate genes related to a high-risk of lung adenocarcinoma recurrence were screened out. Gene ontology analysis showed that these genes were enriched in the mitotic spindle assembly checkpoint, mitotic sister chromosome segregation, G2/M-phase transition of the mitotic cell cycle, and ATP binding, etc. KEGG analysis showed that these genes were involved predominantly in the cell cycle, p53 signaling pathway, and oocyte meiosis. We screened out the top ten Hub genes related to high expression of lung adenocarcinoma from the PPI network. The high expression levels of eight genes (TOP2A, HMMR, MELK, MAD2L1, BUB1B, BUB1, RRM2, and CCNA2) were related to short recurrence-free survival and they can be used as biomarkers for high risk of lung adenocarcinoma recurrence. This study screened out eight genes associated with a high risk of lung adenocarcinoma recurrence, which might provide novel insights into researching the recurrence mechanisms of lung adenocarcinoma as well as into the selection of targets in the treatment of the disease.

scholarly journals Bioinformatic analysis and identification of potential hallmarks in poorly differentiated thyroid cancer

2021 ◽  
Author(s):  
Xin Chen ◽  
Runsheng Ma ◽  
Hongqiang Li ◽  
Yifeng Tang ◽  
Detao Yin
Keyword(s):  
Thyroid Cancer ◽  
Malignant Transformation ◽  
Differentiated Thyroid Cancer ◽  
Anaplastic Thyroid Cancer ◽  
Bioinformatic Analysis ◽  
Thyroid Tumor ◽  
High Expression ◽  
Hub Genes ◽  
Expression Levels ◽  
Poorly Differentiated

Abstract Purpose: The accumulation of malignant tumor gene mutations makes differentiated thyroid cancer (DTC) gradually dedifferentiated to poorly differentiated thyroid cancer (PDTC) or anaplastic thyroid cancer (ATC). This study analyzed the gene expression profile in the process of dedifferentiation of thyroid cancer, aiming to explore the molecular mechanism of PDTC and ATC.Methods: Eight series from GEO database are collected for differentially expressed genes (DEGs) of DTC, PDTC and ATC. Then, GO analysis, KEGG pathway analysis, and functional path enrichment analyses are performed by MATESCAPE. Hub-genes are identified by using the method of MNC in protein interaction networks. Moreover, the expression of hub-genes and hub-gene related survival in thyroid cancers are analyzed by GEPIA2. Finally, the functional path enrichment pathways of PDTC are performed by GSEA Java.Results: There are obvious differences among DEGs of DTC, PDTC, and ATC, and 17 cross gene of DEGs were found. The DEGs in PDTC were mainly concentrated in regulation of cytoskeleton organization, cell division, positive regulation of kinase activity. While the DEGs in ATC were mainly in extracellular matrix organization, extracellular structure organization. Furthermore, 6 hub-genes were obtained in the development of PDTC by using Cytoscape: EGF, CCND1, DEPDC1, ANLN, HGF, BCL2L1. The high expression levels of the genes of EGF, DEPDC1, ANLN, HGF were associated with the poor survival of thyroid cancer. While the high expression levels of CCND1 and BCL2L1 were beneficial to the survival of patients with thyroid tumor. Finally, GSEA revealed that two gene sets are significantly enriched, including KEGG_THYROID_CANCER and KEGG_GLIOMA. And CCND1 and EGF have a core gene position in KEGG_GLIOMA.Conclusions: The molecular function (MF), biological processes (BP) and KEGG pathways have changed during the process of malignant transformation of thyroid cancer. Especially, the activation of EGF-EGFR pathway promotes the malignant transformation of thyroid tumor. Furthermore, six hub-genes, especially CCND1 and EGF, could become potential biomarkers of PDTC. This study can serve as a reference to understand the malignant transformation of thyroid cancer.

scholarly journals Bioinformatics prediction and experimental verification identify MAD2L1 and CCNB2 as diagnostic biomarkers of rhabdomyosarcoma

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tian Xia ◽  
Lian Meng ◽  
Zhijuan Zhao ◽  
Yujun Li ◽  
Hao Wen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Clinical Stage ◽  
Gene Set Enrichment Analysis ◽  
High Expression ◽  
Clinical Staging ◽  
Soft Tissue Tumour ◽  
Hub Genes ◽  
Expression Levels ◽  
The Relationship ◽  
Differential Genes

Abstract Background Rhabdomyosarcoma (RMS) is a malignant soft-tissue tumour. In recent years, the tumour microenvironment (TME) has been reported to be associated with the development of tumours. However, the relationship between the occurrence and development of RMS and TME is unclear. The purpose of this study is to identify potential tumor microenvironment-related biomarkers in rhabdomyosarcoma and analyze their molecular mechanisms, diagnostic and prognostic significance. Methods We first applied bioinformatics method to analyse the tumour samples of 125 patients with rhabdomyosarcoma (RMS) from the Gene Expression Omnibus database (GEO). Differential genes (DEGs) that significantly correlate with TME and the clinical staging of tumors were extracted. Immunohistochemistry (IHC) was applied to validate the expression of mitotic arrest deficient 2 like 1 (MAD2L1) and cyclin B2 (CCNB2) in RMS tissue. Then, we used cell function and molecular biology techniques to study the influence of MAD2L1 and CCNB2 expression levels on the progression of RMS. Results Bioinformatics results show that the RMS TME key genes were screened, and a TME-related tumour clinical staging model was constructed. The top 10 hub genes were screened through the establishment of a protein–protein interaction (PPI) network, and then Gene Expression Profiling Interactive Analysis (GEPIA) was conducted to measure the overall survival (OS) of the 10 hub genes in the sarcoma cases in The Cancer Genome Atlas (TCGA). Six DEGs of statistical significance were acquired. The relationship between these six differential genes and the clinical stage of RMS was analysed. Further analysis revealed that the OS of RMS patients with high expression of MAD2L1 and CCNB2 was worse and the expression of MAD2L1 and CCNB2 was related to the clinical stage of RMS patients. Gene set enrichment analysis (GSEA) revealed that the genes in MAD2L1 and CCNB2 groups with high expression were mainly related to the mechanism of tumour metastasis and recurrence. In the low-expression MAD2L1 and CCNB2 groups, the genes were enriched in the metabolic and immune pathways. Immunohistochemical results also confirmed that the expression levels of MAD2L1 (30/33, 87.5%) and CCNB2 (33/33, 100%) were remarkably higher in RMS group than in normal control group (0/11, 0%). Moreover, the expression of CCNB2 was related to tumour size. Downregulation of MAD2L1 and CCNB2 suppressed the growth, invasion, migration, and cell cycling of RMS cells and promoted their apoptosis. The CIBERSORT immune cell fraction analysis indicated that the expression levels of MAD2L1 and CCNB2 affected the immune status in the TME. Conclusions The expression levels of MAD2L1 and CCNB2 are potential indicators of TME status changes in RMS, which may help guide the prognosis of patients with RMS and the clinical staging of tumours.

scholarly journals High expression levels of egfl7 correlate with low endothelial cell activation in peritumoral vessels of human breast cancer

2016 ◽  
Vol 12 (2) ◽  
pp. 1422-1428 ◽  
Author(s):  
Diane Pannier ◽  
Géraldine Philippin-Lauridant ◽  
Marie-Christine Baranzelli ◽  
Delphine Bertin ◽  
Emilie Bogart ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Endothelial Cell ◽  
Human Breast Cancer ◽  
Cell Activation ◽  
High Expression ◽  
Human Breast ◽  
Endothelial Cell Activation ◽  
Expression Levels ◽  
Peritumoral Vessels

scholarly journals A strategy to obtain recombinant cell lines with high expression levels. Lentiviral vector-mediated transgenesis

2011 ◽  
Vol 5 (S8) ◽  
Author(s):  
Claudio Prieto ◽  
Diego Fontana ◽  
Marina Etcheverrigaray ◽  
Ricardo Kratje
Keyword(s):  
Cell Lines ◽  
Lentiviral Vector ◽  
High Expression ◽  
Expression Levels ◽  
Recombinant Cell

scholarly journals High Expression of ANXA2 Pseudogene ANXA2P2 Promotes an Aggressive Phenotype in Hepatocellular Carcinoma

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Qiu-shuang Wang ◽  
Liang-Liang Shi ◽  
Fei Sun ◽  
Yi-fan Zhang ◽  
Ren-Wang Chen ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Disease Free Survival ◽  
Annexin A2 ◽  
The Cancer Genome Atlas ◽  
High Expression ◽  
Migration And Invasion ◽  
Targeted Drugs ◽  
Noncancerous Tissue ◽  
Expression Levels ◽  
Hcc Cells

Objective. Accumulating evidence suggests that pseudogenes play potential roles in the regulation of their cognate wild-type genes, oncogenes, and tumor suppressor genes. ANXA2P2 (annexin A2 pseudogene 2) is one of three pseudogenes of annexin A2 that have recently been shown to be aberrantly transcribed in hepatocellular carcinoma (HCC) cells. However, its clinical meaning and biological function in HCC have remained unclear. Therefore, the present study was aimed at exploring the prognostic value of a high expression of ANXA2P2 in HCC tissue and at identifying whether it can affect the efficacy of targeted drugs (sorafenib, regorafenib, and lenvatinib). Methods. We obtained ANXA2P2 mRNA expression levels from The Cancer Genome Atlas (TCGA) RNA sequence database. The expression levels of ANXA2P2 in 49 pairs of intratumoral and peritumoral liver tissues were examined by RT-PCR. Wound healing and transwell assays were performed to confirm the tumor-promoting properties of ANXA2P2 in HCC cells. CCK8 assay was conducted to identify whether ANXA2P2 can affect the growth of HCC cells when administered with targeted drugs (sorafenib, regorafenib, and lenvatinib). Results. The expression of ANXA2P2 in HCC tissues was significantly higher than that in adjacent cancerous tissues from TCGA database and validation group. Additionally, patients with high ANXA2P2 expression in HCC tissue had a shorter overall survival, whereas no statistically significant correlation was found between ANXA2P2 expression and disease-free survival (p=0.08) as well as other clinical parameters, such as age, gender, histological grade, T classification, stage, albumin level, alpha-fetoprotein, and vascular invasion (p=0.7323, 0.8807, 0.5762, 0.8515, 0.7113, 0.242, 1.0000, and 0.7685, respectively). Furthermore, in vitro experiments showed that knockdown of ANXA2P2 inhibited migration and invasion of HCC cells but did not have an influence on the HCC cell proliferation when treated with targeted drugs (sorafenib, regorafenib, and lenvatinib). Conclusion. Our study confirmed elevated ANXA2P2 expression levels in HCC tissue compared with adjacent noncancerous tissue and a worse prognosis of patients with high ANXA2P2 levels in the HCC tissue. The newly found properties of promoting migration and invasion of ANXA2P2 in HCC help to explain this phenomenon. ANXA2P2 could be a novel and suitable predicative biomarker for the risk assessment of recurrence or metastasis of HCC patients but may not be effective to predict the efficacy of targeted drugs.

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