Understanding the progression of atherosclerosis through gene profiling and co-expression network analysis in Apobtm2SgyLdlrtm1Her double knockout mice
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- 作者：Vrushali Deshpandea ; Ankit Sharmab ; Rupak Mukhopadhyayc ; Lakshmi Narasimha Rao Thotab ; Madankumar Ghatgeb ; Rajani Kanth Vangalad ; Vijay V. Kakkare ; f ; Lakshmi Mundkura ; lakshmi.mundkur@triindia.org.in" class="auth_mail" title="E-mail the corresponding author
- 关键词：GCNA ; gene co-expression network analysis ; WGCNA ; weighted GCN analysis ; TOM ; topological overlap matrix ; LDL ; low density lipoprotein ; Ox-LDL ; oxidized low density lipoprotein ; MMP ; matrix metalloproteinases ; TNF ; tumor necrosis factor ; HIF-1 ; hypoxia inducing factor ; RT-qPCR ; quantitative reverse transcription PCR ; STC2 ; stanniocalcin 2 ; LEPR ; leptin receptor ; TM9SF1 ; transmembrane 9 superfamily member 1 ; WIF1 ; Wnt inhibitory factor 1 ; XLR5C ; X-linked lymphocyte-regulated 5C ; RAB11FIP3 ; Rab11
- 刊名：Genomics
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：107
- 期：6
- 页码：239-247
- 全文大小：1403 K
文摘
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Gene co-expression network (GCN) was constructed to understand the progression of murine atherosclerosis.
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Maximum changes in gene expression was observed at early stages of disease.
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Genes associated with autophagy, ER stress, inflammation and neurotransmission were differentially expressed at early developmental stage
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These pathways could be the danger signals which can be associated with an ongoing disease process.
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Understanding these genes and associated pathways can help in developing better diagnostic and therapeutic targets for atherosclerosis.