Exploring GPCR signaling pathway networks as cancer therapeutic targets.

IF 11.1 Q1 CELL BIOLOGY Cell genomics Pub Date : 2024-05-08 DOI:10.1016/j.xgen.2024.100560
Balaji Santhanam, Madison Sluter, M Madan Babu
{"title":"Exploring GPCR signaling pathway networks as cancer therapeutic targets.","authors":"Balaji Santhanam, Madison Sluter, M Madan Babu","doi":"10.1016/j.xgen.2024.100560","DOIUrl":null,"url":null,"abstract":"<p><p>GPCR signaling can contribute to establishing the tumor microenvironment and influence the progression and metabolism of tumors. Arora et al.<sup>1</sup> describe a systems-level approach to investigate the patterns of co-expression of GPCR signaling pathway networks across diverse tumors and identify network components that correlate with patient-survival data across different cancer types.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":"4 5","pages":"100560"},"PeriodicalIF":11.1000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11099381/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.xgen.2024.100560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

GPCR signaling can contribute to establishing the tumor microenvironment and influence the progression and metabolism of tumors. Arora et al.1 describe a systems-level approach to investigate the patterns of co-expression of GPCR signaling pathway networks across diverse tumors and identify network components that correlate with patient-survival data across different cancer types.

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
探索作为癌症治疗靶点的 GPCR 信号通路网络。
GPCR 信号传导有助于建立肿瘤微环境,并影响肿瘤的进展和新陈代谢。Arora 等人1 描述了一种系统级方法,用于研究不同肿瘤中 GPCR 信号通路网络的共表达模式,并确定与不同癌症类型患者生存数据相关的网络成分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.10
自引率
0.00%
发文量
0
期刊最新文献
A combined deep learning framework for mammalian m6A site prediction. Analysis of single-cell CRISPR perturbations indicates that enhancers predominantly act multiplicatively. Complex structural variation is prevalent and highly pathogenic in pediatric solid tumors. Gene regulatory network inference from CRISPR perturbations in primary CD4+ T cells elucidates the genomic basis of immune disease. Leveraging genomes to support conservation and bioeconomy policies in a megadiverse country.
×
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