Targeted proteomics for quantification of histone acetylation in Alzheimer's disease
Zhang K, Schrag M, Crofton A, Trivedi R, Vinters H, Kirsch W.. Proteomics, 2012-04-01
Topic: Amyloid, tau and blood-test diagnosis
The epigenetic remodeling of chromatin histone proteins by acetylation has been the subject of recent investigations searching for biomarkers indicative of late onset cognitive loss. Histone acetylations affect the regulation of gene transcription, and the loss of learning induced deacetylation at specific histone sites may represent biomarkers for memory loss and Alzheimer's disease (AD). Selected-reaction-monitoring (SRM) has recently been advanced to quantitate peptides and proteins in complex biological systems. In this paper, we provide evidence that SRM-based targeted proteomics can reliably quantify specific histone acetylations in both AD and control brain by identifying the patterns of H3 K18/K23 acetylations Results of targeted proteomics assays have been validated by Western blot (WB) analysis. As compared with LC-MS/MS-TMT (tandem-mass-tagging) and WB methods, the targeted proteomics method has shown higher throughput, and therefore promised to be more suitable for clinical applications. With this methodology, we find that histone acetylation is significantly lower in AD temporal lobe than found in aged controls. Targeted proteomics warrants increased application for studying epigenetics of neurodegenerative diseases.
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APA 7th
Zhang, K., Schrag, M., Crofton, A., Trivedi, R., Vinters, H., & Kirsch, W. (2012). Targeted proteomics for quantification of histone acetylation in Alzheimer's disease. Proteomics. https://doi.org/10.1002/pmic.201200010
Vancouver
Zhang K, Schrag M, Crofton A, Trivedi R, Vinters H, Kirsch W. Targeted proteomics for quantification of histone acetylation in Alzheimer's disease. Proteomics. 2012. doi:10.1002/pmic.201200010. PMID: 22577027.
BibTeX
@article{zhang2012-22577027,
author = {Zhang, K. and Schrag, M. and Crofton, A. and Trivedi, R. and Vinters, H. and Kirsch, W.},
title = {{Targeted proteomics for quantification of histone acetylation in Alzheimer's disease}},
journal = {Proteomics},
year = {2012},
doi = {10.1002/pmic.201200010},
pmid = {22577027},
url = {https://doi.org/10.1002/pmic.201200010}
}
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Key findings
- In this paper, we provide evidence that SRM-based targeted proteomics can reliably quantify specific histone acetylations in both AD and control brain by identifying the patterns of H3 K18/K23 acetylations Results of targeted proteomics assays have been validated by Western blot (WB) analysis.
- As compared with LC-MS/MS-TMT (tandem-mass-tagging) and WB methods, the targeted proteomics method has shown higher throughput, and therefore promised to be more suitable for clinical applications.
- With this methodology, we find that histone acetylation is significantly lower in AD temporal lobe than found in aged controls.
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Study details
- Evidence strengthLow
How this study scored 36/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 21 of the 58 points we could judge it on, which is 36 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Proteomics) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2012 — within 20 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 22577027) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 21 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 21 of the 58 points we could judge it on is 36 out of 100. |
| Total | 36 / 100 | — |
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