CCL2处理A2780细胞的RNA测序鉴定与A2780细胞生长相关的基因

IF 0.5 4区生物学 Q4 BIOCHEMICAL RESEARCH METHODS Current Proteomics Pub Date : 2023-10-20 DOI:10.2174/0115701646256131231013111220

Zhenling Ma, Lei Wang, Kun Cheng, Guozhen Xing, Jiajia Zhang, Wei Liu

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引用次数: 0

摘要

卵巢癌是一种常见的妇科恶性肿瘤。它是全世界妇女死亡的主要原因之一。卵巢癌发病率居妇科恶性肿瘤第三位，死亡率居妇科恶性肿瘤首位。CCL2(趋化因子C-C基序配体2)与包括卵巢癌在内的多种肿瘤的进展有关。然而，CCL2在A2780细胞生长中的作用机制尚不清楚。方法:本研究发现外源性CCL2对A2780细胞活性有促进作用。RNA测序用于鉴定ccl2处理的A2780细胞的转录组变化。根据p值< 0.05且|log2 Fold Change|大于1，选择190个差异表达基因。在这些基因中，有82个基因被上调，108个基因被下调。结果:差异表达基因的GO(基因本体)分析被用来识别潜在的功能和生物学过程。此外，通过qPCR验证了顶端上调基因的表达。结论:本研究为揭示外源性CCL2在A2780细胞增殖中的作用机制提供了新的标志物。其他:/

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RNA Sequencing of A2780 Cells Treated with CCL2 Identified Genes Associated with A2780 Cell Growth

abstract: Introduction: Ovarian cancer is a common gynecological malignancy. It is one of the leading causes of death among women worldwide. The incidence of ovarian cancer ranks third, and mortality is the first among gynecological malignant tumors. CCL2 (Chemokine C-C motif Ligand 2) is associated with the progression of a variety of tumors, including ovarian cancer. However, the mechanism of CCL2 in A2780 cell growth has not been clarified. Method: In this study, we found that exogenous CCL2 promoted A2780 cell activity. RNA sequencing was used to identify the transcriptomic changes in CCL2-treated A2780 cells. Based on a p-value less than 0.05 and |log2 Fold Change| greater than 1, 190 differentially expressed genes were selected. Of these genes, 82 were observed to be upregulated and 108 downregulated. Result: The GO (gene ontology) analysis of differentially expressed genes was used to identify the underlying functions and biological processes. In addition, the expression of the topmost upregulated genes was verified by qPCR. Conclusion: This work may provide new markers and reveal the underlying mechanism of exogenous CCL2 in A2780 cell proliferation. other: /

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来源期刊

Current Proteomics BIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY

CiteScore

1.60

自引率

0.00%

发文量

审稿时长

>0 weeks

期刊介绍： Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry. Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to: Protein separation and characterization techniques 2-D gel electrophoresis and image analysis Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching Determination of co-translational and post- translational modification of proteins Protein/peptide microarrays Biomolecular interaction analysis Analysis of protein complexes Yeast two-hybrid projects Protein-protein interaction (protein interactome) pathways and cell signaling networks Systems biology Proteome informatics (bioinformatics) Knowledge integration and management tools High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography) High-throughput computational methods for protein 3-D structure as well as function determination Robotics, nanotechnology, and microfluidics.