PXD023823

PXD023823 is an original dataset announced via ProteomeXchange.

Title	Proteomic and transcriptomic profiling reveal different aspects of aging in the kidney
Description	The kidney is an excellent model for studying organ aging. Kidney function shows steady decline with age and is easy to assay using urine or blood samples. However, little is known about the molecular changes that take place in the kidney during the aging process. In order to better understand the molecular changes that occur with age, we measured mRNA and protein levels in 188 genetically diverse mice at ages 6, 12, and 18 months. We observed distinctive change in mRNA and protein levels as a function of age. Changes in both mRNA and protein are associated with increased immune infiltration and decreases in mitochondrial function. Proteins show a greater extent of change and reveal changes in a wide array of biological processes including unique, organ-specific features of aging in kidney. Most importantly, we observed functionally important age-related changes in protein that occur in the absence of corresponding changes in mRNA. Our findings suggest that mRNA profiling alone provides an incomplete picture of molecular aging in the kidney and that examination of changes in proteins is essential to understand aging processes that are not transcriptionally regulated.
HostingRepository	PRIDE
AnnounceDate	2021-03-11
AnnouncementXML	Submission_2021-03-11_12:31:15.255.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Joel Chick
SpeciesList	scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationList	monohydroxylated residue; iodoacetamide derivatized residue
Instrument	Orbitrap Fusion

Revision	Datetime	Status	ChangeLog Entry
0	2021-01-26 02:03:47	ID requested
⏵ 1	2021-03-11 12:31:20	announced

Takemon Y, Chick JM, Gerdes Gyuricza I, Skelly DA, Devuyst O, Gygi SP, Churchill GA, Korstanje R, Proteomic and transcriptomic profiling reveal different aspects of aging in the kidney. Elife, 10():(2021) [pubmed]

submitter keyword: QTL, Proteomics, Kidney, Ageing

Steve Gygi
contact affiliation	Cell Biology, Harvard Medical School, Boston, MA
contact email	steven_gygi@hms.harvard.edu
lab head
Joel Chick
contact affiliation	Harvard Medical School
contact email	chick.joel@gmail.com
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD023823
     1. Label: PRIDE project
     2. Name: Proteomic and transcriptomic profiling reveal different aspects of aging in the kidney