Characterizing the Spatiotemporal Transcriptomic Response of the Right Ventricle to Acute Pressure Overload.
Characterizing the Spatiotemporal Transcriptomic Response of the Right Ventricle to Acute Pressure Overload.
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DOI：
10.3390/ijms24119746
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发表时间：
2023-06-05
影响因子：
5.6
通讯作者：
Spiekerkoetter, Edda
中科院分区：
文献类型：
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作者：
Kheyfets, Vitaly O.;Kumar, Sushil;Heerdt, Paul M.;Ichimura, Kenzo;Brown, R. Dale;Lucero, Melissa;Essafri, Ilham;Williams, Sarah;Stenmark, Kurt R.;Spiekerkoetter, Edda
本研究分析了肺动脉栓塞大鼠右心室（RV）组织的微阵列数据，以了解机械应力的初始动态转录反应，并将其与实验性肺动脉高压（PH）模型进行比较。该数据集包括在11个不同的时间点或RV地点从55只大鼠身上采集的样本。我们使用主成分分析（PCA）来探索基于时空基因表达的聚类。利用主成分分析法（PCA）对基因集进行快速富集分析，确定相关途径。RV转录组特征在几个时间点测量，从机械应力急性增加后的几小时到几周，并且发现高度依赖于初始损伤的严重程度。严重PE后6周大鼠右心室流出道中富集的通路与实验性PH模型有许多共同之处，但右心室尖端的转录组特征与对照组织相似。初始压力过载的严重程度决定了转录组反应的轨迹，与最终的后负荷无关，但这取决于组织活检的位置。PH引起的慢性右心室压力过载似乎朝着类似的转录组终点发展。
This study analyzed microarray data of right ventricular (RV) tissue from rats exposed to pulmonary embolism to understand the initial dynamic transcriptional response to mechanical stress and compare it with experimental pulmonary hypertension (PH) models. The dataset included samples harvested from 55 rats at 11 different time points or RV locations. We performed principal component analysis (PCA) to explore clusters based on spatiotemporal gene expression. Relevant pathways were identified from fast gene set enrichment analysis using PCA coefficients. The RV transcriptomic signature was measured over several time points, ranging from hours to weeks after an acute increase in mechanical stress, and was found to be highly dependent on the severity of the initial insult. Pathways enriched in the RV outflow tracts of rats at 6 weeks after severe PE share many commonalities with experimental PH models, but the transcriptomic signature at the RV apex resembles control tissue. The severity of the initial pressure overload determines the trajectory of the transcriptomic response independent of the final afterload, but this depends on the location where the tissue is biopsied. Chronic RV pressure overload due to PH appears to progress toward similar transcriptomic endpoints.
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影响因子：
14.9
作者：
Blake JA;Baldarelli R;Kadin JA;Richardson JE;Smith CL;Bult CJ;Mouse Genome Database Group
通讯作者：
Mouse Genome Database Group
DOI：
10.1186/s12968-021-00759-8
发表时间：
2021-06-03
期刊：
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
影响因子：
--
作者：
Dufva MJ;Boehm M;Ichimura K;Truong U;Qin X;Tabakh J;Hunter KS;Ivy D;Spiekerkoetter E;Kheyfets VO
通讯作者：
Kheyfets VO
影响因子：
4
作者：
通讯作者：
--
DOI：
10.1115/1.4042682
发表时间：
2019-05-01
影响因子：
1.7
作者：
Kheyfets, Vitaly O.;Uyen Truong;Shandas, Robin
通讯作者：
Shandas, Robin
DOI：
10.1152/ajpheart.00614.2022
发表时间：
2023-06-01
影响因子：
4.8
作者：
Brown，R. Dale;Hunter，Kendall S.;Stenmark，Kurt R.
通讯作者：
Stenmark，Kurt R.