Back

First comprehensive identification of proteins with increased O-GlcNAc levels during pressure overload hypertrophy.

Zhu, W. Z.; Palazzo, T.; Zhou, M.; Olson, H. M.; Pasa-Tolic, L.; Olson, A.

2022-02-19 physiology
10.1101/2022.02.17.480962 bioRxiv
Show abstract

Protein posttranslational modifications (PTMs) by O-GlcNAc globally rise during pressure-overload hypertrophy (POH). However, only a few specific proteins with altered O-GlcNAc levels during POH are known primarily because this PTM is easily lost during standard mass spectrometry (MS) conditions used for protein identification. Methodologies have recently emerged to stabilize the O-GlcNAc moiety for MS analysis. Accordingly, our goal was to determine the proteins undergoing changes in O-GlcNAc levels during POH. We used C57/Bl6 mice subjected to Sham or transverse aortic constriction (TAC) to create POH. From the hearts, we stabilized and labelled the O-GlcNAc moiety with tetramethylrhodamine azide (TAMRA) before enriching by TAMRA immunoprecipitation (IP). We used LC-MS to identify the captured O-GlcNAcylated proteins. We identified a total of 707 O-GlcNAcylated proteins in Sham and POH. Two hundred thirty-three of these proteins were significantly increased in POH over Sham whereas no proteins were significantly decreased in POH. We examined two MS identified proteins, CPT1B and PDH, to validate the MS data by immunoprecipitation. We corroborated increased O-GlcNAc levels during POH for the metabolic enzymes CPT1B and PDH. Enzyme activity assays showed higher O-GlcNAcylation increased CPT1 activity and decreased PDH activity. In summary, we generated the first comprehensive list of proteins with changes in O-GlcNAc levels during POH and, to our knowledge, the largest list for any cardiac pathology. Our results demonstrate the large number of proteins and cellular processes affected by O-GlcNAc during POH and serve as a guide for testing specific O-GlcNAc-regulated mechanisms.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Journal of Molecular and Cellular Cardiology
39 papers in training set
Top 0.1%
27.0%
2
Molecular & Cellular Proteomics
158 papers in training set
Top 0.2%
10.9%
3
Clinical Proteomics
10 papers in training set
Top 0.1%
10.9%
4
Journal of Proteome Research
215 papers in training set
Top 0.5%
6.7%
50% of probability mass above
5
Scientific Reports
3102 papers in training set
Top 44%
2.7%
6
Journal of the American Heart Association
119 papers in training set
Top 2%
2.5%
7
American Journal of Physiology-Heart and Circulatory Physiology
32 papers in training set
Top 0.4%
2.5%
8
eLife
5422 papers in training set
Top 44%
1.6%
9
International Journal of Molecular Sciences
453 papers in training set
Top 9%
1.4%
10
Frontiers in Cardiovascular Medicine
49 papers in training set
Top 2%
1.4%
11
PLOS ONE
4510 papers in training set
Top 58%
1.4%
12
Frontiers in Physiology
93 papers in training set
Top 3%
1.4%
13
Biomedicines
66 papers in training set
Top 1%
1.4%
14
Function
15 papers in training set
Top 0.2%
1.4%
15
iScience
1063 papers in training set
Top 23%
1.2%
16
Nature Communications
4913 papers in training set
Top 58%
0.9%
17
Molecules
37 papers in training set
Top 1%
0.9%
18
Physiological Reports
35 papers in training set
Top 0.8%
0.9%
19
Disease Models & Mechanisms
119 papers in training set
Top 2%
0.8%
20
Free Radical Biology and Medicine
33 papers in training set
Top 0.3%
0.8%
21
Cells
232 papers in training set
Top 6%
0.8%
22
Cell Reports
1338 papers in training set
Top 32%
0.8%
23
The Journal of Physiology
134 papers in training set
Top 2%
0.8%
24
Molecular Metabolism
105 papers in training set
Top 2%
0.7%
25
Aging Cell
144 papers in training set
Top 4%
0.5%
26
Acta Physiologica
13 papers in training set
Top 0.4%
0.5%
27
Communications Biology
886 papers in training set
Top 31%
0.5%
28
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 11%
0.5%