Global quantitative TPA-based proteomics of mouse brain structures reveals significant alterations in expression of proteins involved in neuronal plasticity during aging

Aging
Przemysław DudaDariusz Rakus

Abstract

Aging is believed to be the result of alterations of protein expression and accumulation of changes in biomolecules. Although there are numerous reports demonstrating changes in protein expression in brain during aging, only few of them describe global changes at the protein level. Here, we present the deepest quantitative proteomic analysis of three brain regions, hippocampus, cortex and cerebellum, in mice aged 1 or 12 months, using the total protein approach technique. In all the brain regions, both in young and middle-aged animals, we quantitatively measured over 5,200 proteins. We found that although the total protein expression in middle-aged brain structures is practically unaffected by aging, there are significant differences between young and middle-aged mice in the expression of some receptors and signaling cascade proteins proven to be significant for learning and memory formation. Our analysis demonstrates that the hippocampus is the most variable structure during natural aging and that the first symptoms of weakening of neuronal plasticity may be observed on protein level in middle-aged animals.

References

Jul 11, 2000·Nature Genetics·C K LeeT A Prolla
Feb 15, 2001·Proceedings of the National Academy of Sciences of the United States of America·C H JiangY Hu
Jun 20, 2001·Journal of Neurochemistry·K TsuzukiS Ozawa
Feb 1, 1957·Journal of Neurology, Neurosurgery, and Psychiatry·W B SCOVILLE, B MILNER
Sep 29, 2004·Neuron·Robert C Malenka, Mark F Bear
May 25, 2005·Neuroscience Letters·Yuji SatoTamao Endo
Dec 24, 2005·Nature Reviews. Neuroscience·Sara N Burke, Carol A Barnes
Sep 27, 2008·Neuron·Gary A WaymanThomas R Soderling
Oct 3, 2008·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Hotaka FukushimaSatoshi Kida
Oct 3, 2008·PloS One·Patrick M LoerchBruce A Yankner
Aug 26, 2009·Communicative & Integrative Biology·Yu-Chih Lin, Lori Redmond
Oct 24, 2009·Journal of Proteome Research·Jacek R WiśniewskiMatthias Mann
Feb 18, 2010·International Journal of Molecular Sciences·Sheng PengBingxu Ren
Jul 29, 2010·Genes, Brain, and Behavior·N SagataY Fukumaki
Nov 5, 2010·Molecular & Cellular Proteomics : MCP·Dirk M Walther, Matthias Mann
Apr 19, 2011·The American Journal of Psychiatry·Alexandra DeschwandenGregor Hasler
Jun 30, 2012·Neuropharmacology·Sreedeep Mukherjee, Denise Manahan-Vaughan
Sep 13, 2012·Molecular Systems Biology·Jacek R WiśniewskiMatthias Mann
Oct 9, 2012·Neuroscience Letters·Jinsoo SeoSe-Young Choi
Feb 27, 2013·The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry·Talvinder S SihraAntonio Rodríguez-Moreno
Jun 12, 2013·The Journal of Comparative Neurology·Amy M SpiegelMichela Gallagher
Oct 8, 2013·Clinics in Geriatric Medicine·Caroline N HaradaKristen L Triebel
Nov 5, 2013·Neuron·Richard L Huganir, Roger A Nicoll
Apr 15, 2014·Nature Biotechnology·Juan A VizcaínoHenning Hermjakob
Apr 4, 2015·Analytical Chemistry·Jacek R Wiśniewski, Fabienne Z Gaugaz
Jun 14, 2015·Trends in Molecular Medicine·Joseph A McQuailJennifer L Bizon
Jun 24, 2015·Oncotarget·Dominika Drulis-FajdaszDariusz Rakus
Oct 9, 2015·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Caroline Le DuigouRichard Miles
Nov 1, 2016·Journal of Neurochemistry·J David Sweatt
Mar 1, 2016·Neurobiology of Aging·Benhong XuChao Ma
Jun 2, 2016·The Journal of Biological Chemistry·Kelsey BarcombK Ulrich Bayer

❮ Previous
Next ❯

Citations

Jul 31, 2020·The Journal of Clinical Investigation·Zengli GuoYisong Y Wan
May 21, 2020·International Journal of Molecular Sciences·Surina FreyMichael A Kiebler
Jul 3, 2021·International Journal of Molecular Sciences·Kinga Gostomska-PampuchDariusz Rakus
Dec 4, 2021·Frontiers in Molecular Neuroscience·Polina ShichkovaDaniel Keller

❮ Previous
Next ❯

Datasets Mentioned

BETA
PXD009792
PXD005230

Methods Mentioned

BETA
dissection

Software Mentioned

SigmaPlot
Excel
MaxQuant

Related Concepts

Related Feeds

Aging Genetics (Keystone)

This feed focuses on aging epidemiology and genetic, epigenetic, and proteomic aspects underlying aging, as well as aging- associated biomarkers. Here the latest research in this domain.

Brain Aging

Here is the latest research on intrinsic and extrinsic factors, as well as pathways and mechanisms that underlie aging in the central nervous system.