The transcriptome difference between vulnerable and stable carotid atherosclerotic plaque
The transcriptome difference between vulnerable and stable carotid atherosclerotic plaque
复制标题
易损性和稳定性颈动脉粥样硬化斑块转录组差异
DOI:
--
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发表时间:
2018
影响因子:
0.1
通讯作者:
Chengxiong Gu
中科院分区:
文献类型:
--
作者:
Tongxun Li;Xiaoping Zhang;Jinqian Zhang;Rui Liu;Chengxiong Gu
In recent years, the instability of atherosclerotic plaques is a hotspot of basic and clinical research. Moreover,.it is imperative necessary to accurately identify the vulnerable plaques, and give effectively intervention before.acute cardiovascular events. In this work, the stability of atherosclerotic plaques and vulnerable plaques were collected.and performed with next-generation of RNA-seq, then data were analyzed. We performed a transcriptome.sequence analysis of the vulnerable and stable carotid atherosclerotic plaque by next generation sequencing (NGS).using the Illumina Deep Sequencing technology. We obtained 5,473,799, 3,766,914, 7,713,565 qualified Illumina.reads from three vulnerable carotid atherosclerotic plaque, or 5,598,305, 7,249,629, and 5,623,320 qualified.Illumina reads from stable carotid atherosclerotic plaque, respectively. Comparative trancriptome analysis differentially.revealed 781 genes between vulnerable and stable carotid atherosclerotic plaque, 318 expression of genes.was up-regulated and 363 expressions of genes were down-regulated. The volcano plot was used to further identify.differential genes expression between the two groups. Cluster analysis was performed, and spearman correlation.coefficient was calculated and analyzed. Our work demonstrated differential transcriptomes between vulnerable.and stable carotid atherosclerotic plaque. Numbers of genes will serve as a promising resource for revealing the.regulatory molecular mechanisms of expression associated with the pathophysiology and pathogenesis of vulnerable.atherosclerosis plaque, even their implications in the field of therapy
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DOI:
10.1016/b978-0-12-809633-8.20106-4
发表时间:
2020-02
期刊:
--
影响因子:
--
作者:
A. Prjibelski;Anton I. Korobeynikov;Alla L. Lapidus
通讯作者:
A. Prjibelski;Anton I. Korobeynikov;Alla L. Lapidus
影响因子:
48
作者:
Huber W;Carey VJ;Gentleman R;Anders S;Carlson M;Carvalho BS;Bravo HC;Davis S;Gatto L;Girke T;Gottardo R;Hahne F;Hansen KD;Irizarry RA;Lawrence M;Love MI;MacDonald J;Obenchain V;Oleś AK;Pagès H;Reyes A;Shannon P;Smyth GK;Tenenbaum D;Waldron L;Morgan M
通讯作者:
Morgan M
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
46.9
作者:
Patro, Rob;Mount, Stephen M.;Kingsford, Carl
通讯作者:
Kingsford, Carl
影响因子:
4.4
作者:
Zaid M;Fujiyoshi A;Kadota A;Abbott RD;Miura K
通讯作者:
Miura K