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[1]王雪春,徐榕莉,鄭秀瓊.妊娠期糖尿病相關(guān)差異表達(dá)基因的生物信息學(xué)分析[J].福建醫(yī)藥雜志,2022,44(02):6-10.
 WANG Xuechun,XV Rongli,ZHENG Xiuqiong.Bioinformation analysis of gestational diabetes mellitus-related differentially expressed genes[J].FUJIAN MEDICAL JOURNAL,2022,44(02):6-10.
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妊娠期糖尿病相關(guān)差異表達(dá)基因的生物信息學(xué)分析()
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《福建醫(yī)藥雜志》[ISSN:1002-2600/CN:35-1071/R]

卷:
44
期數(shù):
2022年02期
頁碼:
6-10
欄目:
臨床研究
出版日期:
2022-04-15

文章信息/Info

Title:
Bioinformation analysis of gestational diabetes mellitus-related differentially expressed genes
文章編號(hào):
1002-2600(2022)02-0006-05
作者:
王雪春徐榕莉1鄭秀瓊
福建省婦幼保健院產(chǎn)科(福州 350001)
Author(s):
WANG Xuechun XV Rongli ZHENG Xiuqiong
Department of Obstetrics, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian 350001, China
關(guān)鍵詞:
妊娠期糖尿病 差異基因 生物信息學(xué)
Keywords:
gestational diabetes mellitus different genes bioinformatics
分類號(hào):
R714.253
文獻(xiàn)標(biāo)志碼:
B
摘要:
目的 探討妊娠期糖尿病(GDM)表達(dá)差異基因的功能及信號(hào)通路生物信息學(xué)分析。 方法 從GEO數(shù)據(jù)庫(kù)下載基因芯片數(shù)據(jù)(GSE65737,GSE70493和GSE92772),用R語言軟件Limma包,以P<0.05,|Log10FC|≥1或≥2標(biāo)準(zhǔn)篩選差異顯著基因,并用ggplot包繪制圖。應(yīng)用基因本體論(GO)和京都基因與基因組百科全書(KEGG)進(jìn)行差異基因功能分析,并使用Cytoscape進(jìn)行文獻(xiàn)共線分析。 結(jié)果 GSE65737,GSE70493和GSE92772分別篩選到588,3,445個(gè)差異顯著基因。GSE70493與GSE92772篩選到48個(gè)共同的GO富集,主要富集于細(xì)胞體內(nèi)平衡,細(xì)胞代謝,囊泡轉(zhuǎn)運(yùn),免疫應(yīng)激反應(yīng)等。文獻(xiàn)共線分析得到7個(gè)可能同GDM相關(guān)的候選基因。結(jié)論 基因IL1B、ICAM1、NLRP3、CXCL10、SOCS3、IRF3、IRF7可能與GDM發(fā)病進(jìn)展密切相關(guān),為GDM靶向藥物的開發(fā)提供潛在靶點(diǎn)。
Abstract:
Objective Exploration of the function and signal pathway of different expression genes(DEGs)from gestational diabetes mellitus(GDM)by bioinformatics analysis.Methods Three gene chips(GSE65737, GSE70493 and GSE92772)were obtained from Gene Expression Omnibus(GEO).Limma package of R language software was used for screening DEGs based on the criterion of P<0.05 and |Log10FC|≥1 or ≥2.Gene ontology and KEGG were used for analyzing the DEGs, the results as well as the co-liner of literatures were analyzed by ggplot package and Cytoscape software.Results Several DEGs including 588, 3, 445 were respectively screened from GSE65737, GSE70493 and GSE92772, and 48 co-terms of GO were enriched from GSE70493 and GSE92772, which were mainly enriched in homeostasis and metabolite of cells, vesicular transport and immunological stress.Seven candidate genes were found to be connected with GDM by co-liner analysis of literatures.Conclusion Genes IL1B,ICAM1,NLRP3,CXCL10,SOCS3,IRF3 and IRF7 may be closely linked to GDM, which could be the potential targets for drug discovery.

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備注/Memo

備注/Memo:
基金項(xiàng)目:2018年福建省婦幼保健院科技創(chuàng)新啟動(dòng)基金資助項(xiàng)目(YCXZ 18-20)
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更新日期/Last Update: 2022-04-15