Distinct and diverse chromatin proteomes of ageing mouse organs reveal protein signatures that correlate with physiological functions

  1. Giorgio Oliviero
  2. Sergey Kovalchuk
  3. Adelina Rogowska-Wrzesinska
  4. Veit Schwämmle
  5. Ole N Jensen  Is a corresponding author
  1. Department of Biochemistry & Molecular Biology and VILLUM Center for Bioanalytical Sciences. University of Southern Denmark, Denmark
7 figures, 4 tables and 7 additional files

Figures

Figure 1 with 2 supplements
Strategy for the enrichment of chromatin-associated proteins in mouse embryonic stem cells.

(A) Western blot analysis of mouse embryonic cell fractionation. The cytoplasmic, nuclei, chromatin, and histone compartments are probed (respectively) by GAPDH, Laminin A/C, SUZ12, and H3 …

Figure 1—figure supplement 1
Comparison of annotated chromatin‐associated proteins from recently deposited proteomics data libraries of chromatin studies.

UpSet plot measurement of the number of chromatin-associated proteins detected in different studies (Medvedeva et al., 2015; van Mierlo et al., 2019; Christoforou et al., 2016; Xu et al., 2016). …

Figure 1—figure supplement 2
Evaluation of the enrichment of chromatin-associated proteins in mouse organs.

Brain organ fractionation was assayed by Western blot demonstrating the separation between nuclear and chromatin fraction in mouse brain. The heterochromatin marker HP1BP3 and histone H2A variant …

Figure 1—figure supplement 2—source data 1

Western blot results (original scans).

https://cdn.elifesciences.org/articles/73524/elife-73524-fig1-figsupp2-data1-v2.pdf
Comparative and quantitative proteomics of chromatin proteins in mouse organs.

(A) High-resolution LC-MS/MS brain proteomics during mouse lifespan. Dynamic range plot of the brain tissue fractionation obtained from a mouse. Chromatin lysate and whole total lysate proteomes are …

Figure 3 with 1 supplement
Chromatin proteomics by high mass resolution mass spectrometry demonstrated distinct organ ageing profiles.

(A) Principal component analysis (PCA) of the proteomics datasets. Each data point represents a single replicate (n = 3). Colour subgroups represent each mouse lifespan point, being 3, 5, 10, and 15 …

Figure 3—figure supplement 1
Evaluation of robustness and reproducibility of quantitative proteomics LC-MS/MS strategy.

The biological reproducibility of each organ proteome over time is displayed as a scatter plot and measured by the Pearson correlation coefficient. Red dots indicate high reproducibility, and blue …

Functional proteome analysis of common and distinct organ ageing profiles during the mouse lifespan.

(A) Overlap of proteome data sets across six mouse organs using an UpSet plot. The number of common (orange) and unique (red) organ-specific proteins detected is shown, while various inter-organ …

Figure 5 with 2 supplements
Identification of unique protein abundance changes in organ proteome profiles during ageing.

(A) UpSet plot measurement of the amount of nuclear and relative chromatin-associated proteins differentially expressed during the mouse lifespan across all organs. Unique chromatin-associated …

Figure 5—figure supplement 1
Evaluation of protein expression changes in mouse organs during ageing.

(A) Workflow of the proteome data analysis. (B) Box plots of protein expression profile before and after normalisation across six organs (brain, heart, kidney, lung, liver, and spleen) over time. …

Figure 5—figure supplement 2
Distinct organ ageing profiles are defined by unique differential protein expression.

(A) Volcano plots of differentially regulated proteins across six organs (brain, heart, kidney, lung, liver, and spleen) between the early (3 months) and the late (15 months) adult mouse lifespan. …

Identification of differentially regulated organ-specific profiles that map to ageing, epigenetic processes, and other biochemical processes.

Dot plot of functional annotation Gene Ontology (GO) analysis of the biological processes (BP) showing the enrichment pathway terms among ageing. GO categories are sorted by four group labels: gene …

Distinct organ ageing profiles are defined by unique chromatin-associated proteins.

(A) Protein interaction modules (obtained from the STRING database) are shown for Gene Ontology categories found to be significantly up- or downregulated in five organs. Each chord corresponds to a …

Tables

Table 1
Number of chromatin enzymes detected in mouse embryonic stem cell (mESC).
Chromatin remodelling complexWhole-cell lysateChromatin-enriched lysate
BHC26
CCR4-NOT26
ING115
INO8029
MEDIATOR820
MLL1556
NUA4HAT178
NURD235
NURF102
ORC130
POLYCOMB730
READER833
SAGA88
SET136
SIN3A126
SWI/SNF543
Other chromatin enzymes1080
Table 2
Number of proteins detected across six mouse organs over four time points and their annotated subcellular location.

Detected number of unique proteins across all organs are shown for each subcellular location.

Chromatin proteomes during the mouse lifespan
OrganBrainHeartLiverKidneyLungSpleenUnique proteins across all organs
Chromatin93645764871471311131542
Nuclear615323355426442556930
Other1559127214831465147714573456
Table 3
‘Core’ proteins shared in all six mouse organs over time sorted to their cell compartments.
Chromatin proteome during the mouse lifespan
Shared proteinsUnique proteins
CoreBrainHeartLiverKidneyLungSpleen
Chromatin28911918272217242
Nuclear157692133161554
Other417605175329196211286
Total863793214389234243582
Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
AntibodyHRP goat anti- mouse(mouse polyclonal)MerckCat# 401253;RRID:AB_437779WB (1:10,000)
AntibodyHRP goat anti-rabbit(rabbit polyclonal)SigmaCat# A0545;RRID:AB_257896WB (1:10,000)
AntibodyHRP anti-guinea pig (guinea pig polyclonal)Gift from Benny GarfinkelWB (1:10,000)
AntibodyAnti-SIRT3(rabbit monoclonal)Cell Signaling TechnologyCat# 2627S;RRID:AB_2188622WB (1:1000)
AntibodyAnti-NEDD4 (rabbit polyclonal)Cell Signaling TechnologyCat# 2740S;RRID:AB_2149312WB (1:500)
AntibodyAnti-PSME2 (rabbit polyclonal)Cell Signaling TechnologyCat# 2409S;RRID:AB_2171085WB (1:500)
AntibodyAnti-SIRT5 (rabbit monoclonal)Cell Signaling TechnologyCat# 8782S;RRID:AB_2716763WB (1:1000)
AntibodyAnti-CHD2 (rabbit polyclonal)Cell Signaling TechnologyCat# 4170S;RRID:AB_10621947WB (1:500)
AntibodyAnti-KAT2A/GCN5 (rabbit monoclonal)Cell Signaling TechnologyCat# 3305;RRID:AB_2128281WB (1:500)
AntibodyAnti-PSMD14 (rabbit monoclonal)Cell Signaling TechnologyCat# 4197S;RRID:AB_11178935WB (1:1000)
AntibodyAnti-RING1B/RNF2 (rabbit monoclonal)Cell Signaling TechnologyCat# 5694P;RRID:AB_10705604WB (1:500)
AntibodyAnti-H3 (rabbit polyclonal)AbcamCat# ab1791;RRID:AB_302613WB (1:20,000)
AntibodyAnti-macroH2A.1 (rabbit polyclonal)AbcamCat# ab37264;RRID:AB_883064WB (1:1000)
AntibodyAnti-macroH2A2.2 (rabbit polyclonal)AbcamCat# ab4173;RRID:AB_2115110WB (1:1000)
AntibodyAnti-RNF20 (rabbit polyclonal)Cell Signaling TechnologyCat# 9425S;RRID:AB_2797700WB (1:1000)
AntibodyAnti-H3acetyl (rabbit polyclonal antibody)Active motifCat# 39139;RRID:AB_2687871WB (1:500)
AntibodyAnti-beta actin (mouse monoclonal)SigmaCat# A5441; RRID:AB_476744WB (1:5000)
AntibodyAnti-FBX041 (rabbit polyclonal)Protein TechCat# 24519-1-AP; RRID:AB_2879586WB (1:500)
AntibodyAnti-HP1BP3(guinea pig polyclonal)Gift from Benny GarfinkelWB (1:2000)
Software, algorithmXcalibur softwareThermo ScientificRRID:SCR_014593
Software, algorithmProgenesis QI v2.2WatersRRID:SCR_018923
Software, algorithmProteome Discoverer v2.1.0.81Thermo ScientificRRID:SCR_014477
Software, algorithmPolySTestRRID:SCR_021942http://computproteomics.bmb.sdu.dk:8192/app_direct/PolySTest/

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