Dataset Information

TMT-labeled quantitative protein profiling of hippocampus during human aging

ABSTRACT: Human hippocampus is one of the critical brain regions affected by aging. However, a fully understanding of aging-related changes in protein profiles in human hippocampus has not been well described, especially for the Chinese population. With the newly founded human brain bank in Chinese Academy of Medical Sciences & Peking Union Medical College, we performed a 4-plex TMT labeled proteomic study in the hippocampus of postmortem human brains. The ages of death ranged from 22-98, and were grouped into 4 aging groups: 20-50, 50-70, 70-90, and over 90 (n=4 each). None of the donors was diagnosed with neurodegenerative diseases according to their medical history. Our data identified 4582 proteins, among which 99 proteins were upregulated and 42 proteins were downregulated during the aging process.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Brain

SUBMITTER: Wei Ge

LAB HEAD: Wei Ge

PROVIDER: PXD001987 | Pride | 2016-04-13

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	HUMAN20140709.fasta	Fasta
	MS140697-20141031_hippocampus.msf	Msf
	MS140697-20141031_hippocampus.pep.xml	Pepxml
	MS140697-H1.raw	Raw
	MS140697-H10.raw	Raw

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Quantitative protein profiling of hippocampus during human aging.

Xu Benhong B Gao Yanpan Y Zhan Shaohua S Xiong Feng F Qiu Wenying W Qian Xiaojing X Wang Tao T Wang Naili N Zhang Di D Yang Qian Q Wang Renzhi R Bao Xinjie X Dou Wanchen W Tian Rui R Meng Shu S Gai Wei-Ping WP Huang Yue Y Yan Xiao-Xin XX Ge Wei W Ma Chao C

Neurobiology of aging 20151208

The hippocampus appears commonly affected by aging and various neurologic disorders in humans, whereas little is known about age-related change in overall protein expression in this brain structure. Using the 4-plex tandem mass tag labeling, we carried out a quantitative proteomic study of the hippocampus during normal aging using postmortem brains from Chinese subjects. Hippocampal samples from 16 subjects died of non-neurological/psychiatric diseases were divided into 4 age groups: 22-49, 50-6 ...[more]

PMID: 26923401

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