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Brain Proteomic Responses to Glucocorticoids and Their Relationship With Transcriptome: A Systematic Meta-Analysis
1Department of Animal Behavior and Welfare, Institute of Genetics and Animal Biotechnology, Polish Academy of Sciences, Jastrzebiec, Poland.
This study integrated proteomic and transcriptomic data on glucocorticoid responses across species. Key consistent findings include Aldoc and Atp5f1b proteins, highlighting gaps in current proteomic data and providing an updated, unified dataset.
Area of Science:
- Neurobiology
- Molecular Biology
- Proteomics
Background:
- Glucocorticoid effects on the brain are extensively studied at the proteomic level.
- However, integrated analyses comparing proteomic and transcriptomic responses are lacking.
- Existing proteomic data is hindered by inconsistent nomenclature and identifiers.
Purpose of the Study:
- To identify consistent protein expression changes in response to glucocorticoids across mouse, rat, and human datasets.
- To compare these proteomic findings with transcriptomic responses.
- To create an integrated, standardized dataset for future research.
Main Methods:
- Systematic review and meta-analysis of existing proteomic and transcriptomic studies.
- Standardization of protein nomenclature and identifiers.
- Comparative analysis of protein and mRNA expression changes.
Main Results:
- ATP synthase F1 subunit beta (Atp5f1b) and aldolase, fructose-bisphosphate C (Aldoc) were the most consistently detected proteins.
- Consistent proteomic and transcriptomic findings included Aldoc, Plin4, Aqp4, Endod1, Glul, Anln, Aldh1l1, Parp1, Trf, Fermt2, Tmem63a, and Trim2.
- Significant gaps and limitations in current proteomic data were identified.
Conclusions:
- This study provides a comprehensive, integrated dataset of glucocorticoid-responsive proteins and transcripts.
- The findings highlight specific proteins (e.g., Aldoc) and pathways affected by glucocorticoids.
- Addressing data inconsistencies and gaps is crucial for advancing brain glucocorticoid research.
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