MassIVE MSV000088401

Complete Public PXD029785

Human skin fibroblast proteome in healthy aging

Description

The changes in the proteome of different human tissues with advancing age are poorly characterized. Here, we studied the proteins present in skin fibroblasts collected from 82 healthy individuals across a wide age spectrum (22 to 89 years old) who participated in the GESTALT (Genetic and Epigenetic Signatures of Translational Aging Laboratory Testing) study of the National Institute on Aging, NIH. Proteins were extracted from lysed fibroblasts and subjected to liquid chromatography-mass spectrometry analysis, and the expression levels of 9341 proteins were analyzed by linear regression models. Several differentially expressed proteins were implicated in processes that change with age, including autophagy, scavenging of reactive oxygen species (ROS), ribosome biogenesis, DNA replication, and DNA repair. Changes on these prominent pathways were further assessed using molecular and cell-culture approaches. Our study establishes a framework of the global proteome governing the homeostasis of the aged skin. [doi:10.25345/C5X290] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: human dermal fibroblasts, aging, proteomics, autophagy, reactive oxygen species, ribosome biogenesis, DNA damage, DNA repair

Contact

Principal Investigators:
(in alphabetical order)
Myriam Gorospe, National Institute on Aging, Intramural Research Program, National Institutes of Health, United States
Submitting User: Mohien

Publications

Tsitsipatis D, Martindale JL, Ubaida-Mohien C, Lyashkov A, Yanai H, Kashyap A, Shin CH, Herman AB, Ji E, Yang JH, Munk R, Dunn C, Lukyanenko Y, Yang X, Chia CW, Karikkineth AC, Zukley L, D'Agostino J, Kaileh M, Cui CY, Beerman I, Ferrucci L, Gorospe M.
Proteomes of primary skin fibroblasts from healthy individuals reveal altered cell responses across the life span.
Aging Cell. 2022 May;21(5):e13609. Epub 2022 Apr 15.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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