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Integrated analysis of proteomics and phosphoproteomics on rat hearts with aging and hypertension

ABSTRACT: Hypertension is a most important risk factor of cardiovascular diseases (CVD), and its incidence is greatest among older adults, which indicates that aging is an independent risk for both hypertension and CVD. To date, the studies on the proteomics and phosphoproteomics of the aged hypertensive hearts for studying their impacts on the pathogenesis of CVD are limited. Here we present a dataset by using proteomics and phosphor-proteomics analysis on young and aged healthy and spontaneous hypertensive (SHR) rats. The dataset has following features: 1) numerical description of average 4000 total proteins and 1500 phosphor-proteins of detectable proteins in each group; 2) proteomic and phosphoproteomic profiles of their expression patterns; 3) Pathways for individual factor (age or hypertension) and their interaction and association with CVDs. Therefore, the integrated analysis of the dataset revealed the underlying pathways of aging and/or hypertension and their interaction on cardiovascular remodelling. In summary, the dataset provides a searchable multi-omics for the researchers to explore the interaction of aging and hypertension on the pathogenesis of CVD.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Rattus Norvegicus (rat)

TISSUE(S): Heart

SUBMITTER: Tangting Chen

LAB HEAD: Xiaoqiu Tan

PROVIDER: PXD026608 | Pride | 2021-06-18

REPOSITORIES: Pride

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			Action	DRS
	239024.msf	Msf
	239024_PeptideGroups.txt	Txt
	239024_Proteins.txt	Txt
	HFX3_FPEP191624581-2A.raw	Raw
	HFX3_FPEP191624582-2A.raw	Raw

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Integrated analysis of proteomics on rat hearts with aging and hypertension

Project description:Hypertension is a most important risk factor of cardiovascular diseases (CVD), and its incidence is greatest among older adults, which indicates that aging is an independent risk for both hypertension and CVD. To date, the studies on the proteomics and phosphoproteomics of the aged hypertensive hearts for studying their impacts on the pathogenesis of CVD are limited. Here we present a dataset by using proteomics and phosphor-proteomics analysis on young and aged healthy and spontaneous hypertensive (SHR) rats. The dataset has following features: 1) numerical description of average 4000 total proteins and 1500 phosphor-proteins of detectable proteins in each group; 2) proteomic and phosphoproteomic profiles of their expression patterns; 3) Pathways for individual factor (age or hypertension) and their interaction and association with CVDs. Therefore, the integrated analysis of the dataset revealed the underlying pathways of aging and/or hypertension and their interaction on cardiovascular remodelling. In summary, the dataset provides a searchable multi-omics for the researchers to explore the interaction of aging and hypertension on the pathogenesis of CVD.

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