Back

Native size exclusion chromatography-based mass spectrometry (SEC-MS) identifies novel components of the Heat Shock Protein 90-dependent proteome

Samant, R. S.; Batista, S.; Larance, M.; Ozer, B.; Milton, C. I.; Bludau, I.; Biggins, L.; Andrews, S.; Hervieu, A.; Johnston, H. E.; Al-Lazikhani, B.; Lamond, A. I.; Clarke, P. A.; Workman, P.

2022-05-23 biochemistry
10.1101/2022.05.23.492985 bioRxiv
Show abstract

The molecular chaperone heat shock protein 90 (HSP90) works in concert with co-chaperones to stabilize its client proteins, which include multiple drivers of oncogenesis and malignant progression. Pharmacologic inhibitors of HSP90 have been observed to exert a wide range of effects on the proteome, including depletion of client proteins, induction of heat shock proteins, dissociation of co-chaperones from HSP90, disruption of client protein signaling networks, and recruitment of the protein ubiquitylation and degradation machinery--suggesting widespread remodeling of cellular protein complexes. However, proteomics studies to date have focused on inhibitor-induced changes in total protein levels, often overlooking protein complex alterations. Here, we use size-exclusion chromatography in combination with mass spectrometry (SEC-MS) to characterize the changes in native protein complexes following treatment with the HSP90 inhibitor tanespimycin (17-AAG) in the HT29 colon adenocarcinoma cell line. After confirming the signature cellular response to HSP90 inhibition (e.g., induction of heat shock proteins, decreased total levels of client proteins), we were surprised to find only modest perturbations to the global distribution of protein elution profiles in inhibitor-treated cells. Similarly, co-chaperones that co-eluted with HSP90 displayed no clear difference between control and treated conditions. However, two distinct analysis strategies identified multiple inhibitor-induced changes, including several known components of the HSP90 proteome, as well as numerous proteins and protein complexes with no previous links to HSP90. We present this dataset as a resource for the HSP90, proteostasis, and cancer communities (https://www.bioinformatics.babraham.ac.uk/shiny/HSP90/SEC-MS/), laying the groundwork for future mechanistic and therapeutic studies related to HSP90 pharmacology. Data are available via ProteomeXchange with identifier PXD033459.

Matching journals

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

1
Molecular & Cellular Proteomics
158 papers in training set
Top 0.1%
33.1%
2
Journal of Proteome Research
215 papers in training set
Top 0.4%
9.2%
3
iScience
1063 papers in training set
Top 1%
6.4%
4
eLife
5422 papers in training set
Top 25%
3.6%
50% of probability mass above
5
PLOS ONE
4510 papers in training set
Top 44%
2.7%
6
Nature Communications
4913 papers in training set
Top 45%
2.4%
7
Scientific Reports
3102 papers in training set
Top 55%
1.8%
8
The EMBO Journal
267 papers in training set
Top 2%
1.7%
9
EMBO Molecular Medicine
85 papers in training set
Top 2%
1.7%
10
Frontiers in Molecular Biosciences
100 papers in training set
Top 2%
1.7%
11
Molecular Systems Biology
142 papers in training set
Top 0.9%
1.2%
12
Molecular Metabolism
105 papers in training set
Top 1%
1.2%
13
Disease Models & Mechanisms
119 papers in training set
Top 2%
1.1%
14
Journal of Biological Chemistry
641 papers in training set
Top 3%
1.0%
15
ACS Chemical Biology
150 papers in training set
Top 2%
0.9%
16
Redox Biology
64 papers in training set
Top 0.7%
0.9%
17
PLOS Computational Biology
1633 papers in training set
Top 22%
0.9%
18
Journal of Proteomics
27 papers in training set
Top 0.3%
0.9%
19
International Journal of Molecular Sciences
453 papers in training set
Top 14%
0.8%
20
Biochemical Journal
80 papers in training set
Top 0.2%
0.8%
21
Analytical Chemistry
205 papers in training set
Top 2%
0.7%
22
Clinical Proteomics
10 papers in training set
Top 0.2%
0.7%
23
Cell Chemical Biology
81 papers in training set
Top 3%
0.7%
24
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 10%
0.7%
25
PLOS Biology
408 papers in training set
Top 21%
0.7%
26
Cell Death Discovery
51 papers in training set
Top 2%
0.7%
27
Journal of Molecular Biology
217 papers in training set
Top 4%
0.7%
28
ACS Omega
90 papers in training set
Top 5%
0.6%
29
Cell Reports
1338 papers in training set
Top 35%
0.6%