The Molecular Floodgates of Stress-Induced Senescence Reveal Translation, Signalling and Protein Activity Central to the Post-Mortem Proteome.
coordinated gene-expression
death
inflammation
mitochondrial dysfunction
paleoproteomics
post-mortem
ribosomal binding proteins
senescence
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
03 Sep 2020
03 Sep 2020
Historique:
received:
22
07
2020
revised:
27
08
2020
accepted:
31
08
2020
entrez:
9
9
2020
pubmed:
10
9
2020
medline:
30
3
2021
Statut:
epublish
Résumé
The transitioning of cells during the systemic demise of an organism is poorly understood. Here, we present evidence that organismal death is accompanied by a common and sequential molecular flood of stress-induced events that propagate the senescence phenotype, and this phenotype is preserved in the proteome after death. We demonstrate activation of "death" pathways involvement in diseases of ageing, with biochemical mechanisms mapping onto neurological damage, embryonic development, the inflammatory response, cardiac disease and ultimately cancer with increased significance. There is sufficient bioavailability of the building blocks required to support the continued translation, energy, and functional catalytic activity of proteins. Significant abundance changes occur in 1258 proteins across 1 to 720 h post-mortem of the 12-week-old mouse mandible. Protein abundance increases concord with enzyme activity, while mitochondrial dysfunction is evident with metabolic reprogramming. This study reveals differences in protein abundances which are akin to states of stress-induced premature senescence (SIPS). The control of these pathways is significant for a large number of biological scenarios. Understanding how these pathways function during the process of cellular death holds promise in generating novel solutions capable of overcoming disease complications, maintaining organ transplant viability and could influence the findings of proteomics through "deep-time" of individuals with no historically recorded cause of death.
Identifiants
pubmed: 32899302
pii: ijms21176422
doi: 10.3390/ijms21176422
pmc: PMC7504133
pii:
doi:
Substances chimiques
Proteome
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : UNSW PANGEA grant
ID : NA
Organisme : Analytical Centre Grant
ID : NA
Références
Cell Mol Life Sci. 2017 Dec;74(24):4471-4509
pubmed: 28707011
Mol Cell. 2010 Sep 10;39(5):809-20
pubmed: 20832731
J Biol Chem. 2001 Aug 31;276(35):32822-7
pubmed: 11438552
PLoS Biol. 2013 Jul;11(7):e1001613
pubmed: 23935448
Cell. 2016 Apr 21;165(3):535-50
pubmed: 27104977
Cell Mol Life Sci. 2014 Nov;71(22):4373-86
pubmed: 25080110
Cancer Lett. 2020 May 28;478:82-92
pubmed: 32171858
Open Biol. 2017 Jan;7(1):
pubmed: 28123054
Proteomics. 2010 Mar;10(6):1265-9
pubmed: 20077414
Pancreas. 2012 Apr;41(3):397-408
pubmed: 22158071
Hum Genet. 2020 Mar;139(3):357-369
pubmed: 31834493
J Cell Biol. 2014 Feb 3;204(3):331-42
pubmed: 24469635
Int Rev Cell Mol Biol. 2020;352:55-82
pubmed: 32334817
J Nucleic Acids. 2016;2016:8235121
pubmed: 28083147
Int Rev Cell Mol Biol. 2013;301:215-90
pubmed: 23317820
Int J Cell Biol. 2014;2014:502676
pubmed: 24639873
Genes Dev. 2009 May 15;23(10):1207-20
pubmed: 19451221
Cell Metab. 2012 Dec 5;16(6):751-64
pubmed: 23177934
FEBS Lett. 2005 Jul 4;579(17):3651-9
pubmed: 15963989
Forensic Sci Int. 2017 Jun;275:90-101
pubmed: 28329724
Nat Commun. 2018 Feb 13;9(1):490
pubmed: 29440659
FEBS Lett. 2019 Mar;593(5):527-532
pubmed: 30767213
Biochem Soc Trans. 2010 Dec;38(6):1571-5
pubmed: 21118128
Biochim Biophys Acta. 2012 Mar;1823(3):648-55
pubmed: 21856339
Trends Biochem Sci. 2016 Mar;41(3):211-218
pubmed: 26778478
Stat Med. 2002 Dec 15;21(23):3543-70
pubmed: 12436455
Expert Rev Proteomics. 2020 Apr;17(4):297-308
pubmed: 32425074
Exp Gerontol. 2016 Sep;82:39-49
pubmed: 27235851
ACS Synth Biol. 2012 Mar 16;1(3):83-8
pubmed: 23651072
Proc Natl Acad Sci U S A. 2009 Dec 15;106(50):21288-93
pubmed: 19965370
Indian J Med Res. 2014 Nov;140 Suppl:S120-9
pubmed: 25673532
Mol Cell Proteomics. 2011 Dec;10(12):M111.009217
pubmed: 21933953
Biochim Biophys Acta. 2016 Jul;1858(7 Pt A):1411-8
pubmed: 27085978
Cell Death Differ. 2005 Nov;12 Suppl 2:1463-7
pubmed: 16247491
Proteomics. 2020 Mar;20(5-6):e1800416
pubmed: 31737995
Proteomics. 2015 Apr;15(8):1453-6
pubmed: 25644178
FEBS Lett. 2004 Jul 30;571(1-3):243-7
pubmed: 15280050
Proteomics. 2019 Mar;19(5):e1800341
pubmed: 30650255
Cell. 2011 Aug 5;146(3):353-8
pubmed: 21802130
Nucleic Acids Res. 2019 Jan 8;47(D1):D442-D450
pubmed: 30395289
Cell. 2008 Oct 17;135(2):216-26
pubmed: 18957198
World J Gastroenterol. 2019 Sep 21;25(35):5283-5299
pubmed: 31558873
BMC Genomics. 2018 Sep 14;19(1):675
pubmed: 30217147
Elife. 2019 Oct 23;8:
pubmed: 31642809
Nature. 2011 May 19;473(7347):337-42
pubmed: 21593866
Transplantation. 2019 Mar;103(3):588-596
pubmed: 30048393
Mol Cell. 2019 Feb 7;73(3):474-489.e5
pubmed: 30595434
Int J Mol Sci. 2018 Apr 02;19(4):
pubmed: 29614816
FEBS Lett. 2002 Nov 20;531(3):499-504
pubmed: 12435600
Aging Dis. 2019 Apr 1;10(2):367-382
pubmed: 31011483
Mol Cell Proteomics. 2012 Mar;11(3):M111.011429
pubmed: 21937730
Expert Rev Proteomics. 2010 Feb;7(1):39-53
pubmed: 20121475
Biochem Biophys Res Commun. 2012 Oct 12;427(1):60-6
pubmed: 22982673
Physiol Genomics. 2009 Aug 7;38(3):328-41
pubmed: 19509078
Cold Spring Harb Perspect Med. 2013 Jul 01;3(7):
pubmed: 23818517
Biochem Soc Trans. 2017 Aug 15;45(4):1007-14
pubmed: 28710288