鉴定与肌萎缩性侧索硬化症发病和进展相关的失调典型通路-一种综合生物信息学方法。

3区 生物学 Q1 Biochemistry, Genetics and Molecular Biology Advances in protein chemistry and structural biology Pub Date : 2023-01-01 DOI:10.1016/bs.apcsb.2022.11.014
Ankur Datta, S Udhaya Kumar, Maria D'costa, Anusha Bothe, D Thirumal Kumar, Hatem Zayed, C George Priya Doss
{"title":"鉴定与肌萎缩性侧索硬化症发病和进展相关的失调典型通路-一种综合生物信息学方法。","authors":"Ankur Datta,&nbsp;S Udhaya Kumar,&nbsp;Maria D'costa,&nbsp;Anusha Bothe,&nbsp;D Thirumal Kumar,&nbsp;Hatem Zayed,&nbsp;C George Priya Doss","doi":"10.1016/bs.apcsb.2022.11.014","DOIUrl":null,"url":null,"abstract":"<p><p>The mechanisms responsible for the pathogenesis and progression of Amyotrophic Lateral Sclerosis (ALS) remain poorly understood, making the diagnosis of ALS challenging. We aimed to find the novel gene biomarkers via computationally analyzing microarray expression studies, in three different cell lineages, namely myotube cells, astrocyte cells and oligodendrocyte cells. Microarray gene expression profiles were obtained and analyzed for three cell types: myotube cell lineage (GSE122261), astrocyte, and oligodendrocyte cell lineage (GSE87385). A comprehensive computational pipeline, tailored explicitly for microarray gene expression profiling studies, was devised to analyze the sample groups, wherein the myotube sample group comprised of six control (GSM3462697, GSM3462698, GSM3462699, GSM3462700, GSM3462701, GSM3462702) & six diseased (GSM3462691, GSM3462692, GSM3462693, GSM3462694, GSM3462695, GSM3462696) samples were considered. Similarly, for the astrocyte sample group two samples each for the control (GSM2330040, GSM2330042) and the diseased (GSM2330039, GSM2330041), and for the oligodendrocyte sample group, 2 control (GSM2330043, GSM2330045) samples and two diseased (GSM2330044, GSM2330046) samples were considered for the current study. The in-depth interaction of these DEGs was studied using MCODE and subjected to preliminary functional analysis using ClueGO/CluePedia plug-in. Qiagen's IPA software was employed for enrichment analysis, which generated the key canonical pathways and a list of potential biomarker molecules specific to each sample group. The preliminary analysis yielded 512 DEGs across all 3-sample groups, wherein 139 DEGs belonged to the myotube sample group, 216 DEGs for the astrocyte sample group, and 157 DEGs for the oligodendrocytes sample group. The data suggests growth hormone signaling and its activity, ErbB signaling pathway, and JAK/STAT signaling pathway are some of the pathways that are significantly dysregulated and play a crucial role in the development and progression of ALS. KISS1R and CSHL1 are potential genes that could act as diagnostic biomarkers in myotube cell types. Also, KRAS, TGFB2, JUN, and SMAD6 genes may be used as prognostic biomarkers to differentiate between early and late-stage ALS-diseased patients.</p>","PeriodicalId":7376,"journal":{"name":"Advances in protein chemistry and structural biology","volume":"134 ","pages":"21-52"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of dysregulated canonical pathways associated with pathogenesis and progression of Amyotrophic Lateral Sclerosis-An integrated bioinformatics approach.\",\"authors\":\"Ankur Datta,&nbsp;S Udhaya Kumar,&nbsp;Maria D'costa,&nbsp;Anusha Bothe,&nbsp;D Thirumal Kumar,&nbsp;Hatem Zayed,&nbsp;C George Priya Doss\",\"doi\":\"10.1016/bs.apcsb.2022.11.014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The mechanisms responsible for the pathogenesis and progression of Amyotrophic Lateral Sclerosis (ALS) remain poorly understood, making the diagnosis of ALS challenging. We aimed to find the novel gene biomarkers via computationally analyzing microarray expression studies, in three different cell lineages, namely myotube cells, astrocyte cells and oligodendrocyte cells. Microarray gene expression profiles were obtained and analyzed for three cell types: myotube cell lineage (GSE122261), astrocyte, and oligodendrocyte cell lineage (GSE87385). A comprehensive computational pipeline, tailored explicitly for microarray gene expression profiling studies, was devised to analyze the sample groups, wherein the myotube sample group comprised of six control (GSM3462697, GSM3462698, GSM3462699, GSM3462700, GSM3462701, GSM3462702) & six diseased (GSM3462691, GSM3462692, GSM3462693, GSM3462694, GSM3462695, GSM3462696) samples were considered. Similarly, for the astrocyte sample group two samples each for the control (GSM2330040, GSM2330042) and the diseased (GSM2330039, GSM2330041), and for the oligodendrocyte sample group, 2 control (GSM2330043, GSM2330045) samples and two diseased (GSM2330044, GSM2330046) samples were considered for the current study. The in-depth interaction of these DEGs was studied using MCODE and subjected to preliminary functional analysis using ClueGO/CluePedia plug-in. Qiagen's IPA software was employed for enrichment analysis, which generated the key canonical pathways and a list of potential biomarker molecules specific to each sample group. The preliminary analysis yielded 512 DEGs across all 3-sample groups, wherein 139 DEGs belonged to the myotube sample group, 216 DEGs for the astrocyte sample group, and 157 DEGs for the oligodendrocytes sample group. The data suggests growth hormone signaling and its activity, ErbB signaling pathway, and JAK/STAT signaling pathway are some of the pathways that are significantly dysregulated and play a crucial role in the development and progression of ALS. KISS1R and CSHL1 are potential genes that could act as diagnostic biomarkers in myotube cell types. Also, KRAS, TGFB2, JUN, and SMAD6 genes may be used as prognostic biomarkers to differentiate between early and late-stage ALS-diseased patients.</p>\",\"PeriodicalId\":7376,\"journal\":{\"name\":\"Advances in protein chemistry and structural biology\",\"volume\":\"134 \",\"pages\":\"21-52\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in protein chemistry and structural biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/bs.apcsb.2022.11.014\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in protein chemistry and structural biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/bs.apcsb.2022.11.014","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

摘要

肌萎缩性侧索硬化症(ALS)的发病和进展机制尚不清楚,这使得ALS的诊断具有挑战性。我们的目标是通过计算分析微阵列表达研究发现新的基因生物标志物,在三种不同的细胞系,即肌管细胞,星形胶质细胞和少突胶质细胞。获得并分析了三种细胞类型的微阵列基因表达谱:肌管细胞谱系(GSE122261)、星形胶质细胞和少突胶质细胞谱系(GSE87385)。设计了一个专门为微阵列基因表达谱研究定制的综合计算管道来分析样本组,其中肌管样本组包括6个对照组(GSM3462697、GSM3462698、GSM3462699、GSM3462700、GSM3462701、GSM3462702)和6个患病样本(GSM3462691、GSM3462692、GSM3462693、GSM3462694、GSM3462695、GSM3462696)。同样,对于星形胶质细胞样本组,对照组(GSM2330040、GSM2330042)和病变组(GSM2330039、GSM2330041)各2个样本,对于少突胶质细胞样本组,本研究考虑2个对照组(GSM2330043、GSM2330045)和2个病变组(GSM2330044、GSM2330046)样本。使用MCODE深入研究这些deg的相互作用,并使用ClueGO/CluePedia插件进行初步功能分析。采用Qiagen的IPA软件进行富集分析,生成关键的典型途径和每个样品组特有的潜在生物标志物分子列表。初步分析得出3个样本组共512个deg,其中肌管样本组139个deg,星形胶质细胞样本组216个deg,少突胶质细胞样本组157个deg。这些数据表明,生长激素信号通路及其活性、ErbB信号通路、JAK/STAT信号通路是一些显著失调的通路,在ALS的发生发展中起着至关重要的作用。KISS1R和CSHL1是潜在的基因,可以作为肌管细胞类型的诊断生物标志物。此外,KRAS、TGFB2、JUN和SMAD6基因可作为区分早期和晚期als患者的预后生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Identification of dysregulated canonical pathways associated with pathogenesis and progression of Amyotrophic Lateral Sclerosis-An integrated bioinformatics approach.

The mechanisms responsible for the pathogenesis and progression of Amyotrophic Lateral Sclerosis (ALS) remain poorly understood, making the diagnosis of ALS challenging. We aimed to find the novel gene biomarkers via computationally analyzing microarray expression studies, in three different cell lineages, namely myotube cells, astrocyte cells and oligodendrocyte cells. Microarray gene expression profiles were obtained and analyzed for three cell types: myotube cell lineage (GSE122261), astrocyte, and oligodendrocyte cell lineage (GSE87385). A comprehensive computational pipeline, tailored explicitly for microarray gene expression profiling studies, was devised to analyze the sample groups, wherein the myotube sample group comprised of six control (GSM3462697, GSM3462698, GSM3462699, GSM3462700, GSM3462701, GSM3462702) & six diseased (GSM3462691, GSM3462692, GSM3462693, GSM3462694, GSM3462695, GSM3462696) samples were considered. Similarly, for the astrocyte sample group two samples each for the control (GSM2330040, GSM2330042) and the diseased (GSM2330039, GSM2330041), and for the oligodendrocyte sample group, 2 control (GSM2330043, GSM2330045) samples and two diseased (GSM2330044, GSM2330046) samples were considered for the current study. The in-depth interaction of these DEGs was studied using MCODE and subjected to preliminary functional analysis using ClueGO/CluePedia plug-in. Qiagen's IPA software was employed for enrichment analysis, which generated the key canonical pathways and a list of potential biomarker molecules specific to each sample group. The preliminary analysis yielded 512 DEGs across all 3-sample groups, wherein 139 DEGs belonged to the myotube sample group, 216 DEGs for the astrocyte sample group, and 157 DEGs for the oligodendrocytes sample group. The data suggests growth hormone signaling and its activity, ErbB signaling pathway, and JAK/STAT signaling pathway are some of the pathways that are significantly dysregulated and play a crucial role in the development and progression of ALS. KISS1R and CSHL1 are potential genes that could act as diagnostic biomarkers in myotube cell types. Also, KRAS, TGFB2, JUN, and SMAD6 genes may be used as prognostic biomarkers to differentiate between early and late-stage ALS-diseased patients.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Advances in protein chemistry and structural biology
Advances in protein chemistry and structural biology BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
7.40
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Published continuously since 1944, The Advances in Protein Chemistry and Structural Biology series has been the essential resource for protein chemists. Each volume brings forth new information about protocols and analysis of proteins. Each thematically organized volume is guest edited by leading experts in a broad range of protein-related topics.
期刊最新文献
In silico network pharmacology study on Glycyrrhiza glabra: Analyzing the immune-boosting phytochemical properties of Siddha medicinal plant against COVID-19. A computational pipeline elucidating functions of conserved hypothetical Trypanosoma cruzi proteins based on public proteomic data. Analysis of endoglucanases production using metatranscriptomics and proteomics approach. Application of functional proteomics in understanding RNA virus-mediated infection. Functional proteomics based on protein microarray technology for biomedical research.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1