Prefrontal Cortex Cytosolic Proteome and Machine Learning-Based Predictors of Resilience toward Chronic Social Isolation in Rats

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	Prefrontal Cortex Cytosolic Proteome and Machine Learning-Based Predictors of Resilience toward Chronic Social Isolation in Rats
	Filipovic, D; Novak, B; Xiao, JQ; Tadic, P; Turck, CW
	2024
发表期刊	INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
ISSN	1661-6596
卷号	25 期号:5
摘要	Chronic social isolation (CSIS) generates two stress-related phenotypes: resilience and susceptibility. However, the molecular mechanisms underlying CSIS resilience remain unclear. We identified altered proteome components and biochemical pathways and processes in the prefrontal cortex cytosolic fraction in CSIS-resilient rats compared to CSIS-susceptible and control rats using liquid chromatography coupled with tandem mass spectrometry followed by label-free quantification and STRING bioinformatics. A sucrose preference test was performed to distinguish rat phenotypes. Potential predictive proteins discriminating between the CSIS-resilient and CSIS-susceptible groups were identified using machine learning (ML) algorithms: support vector machine-based sequential feature selection and random forest-based feature importance scores. Predominantly, decreased levels of some glycolytic enzymes, G protein-coupled receptor proteins, the Ras subfamily of GTPases proteins, and antioxidant proteins were found in the CSIS-resilient vs. CSIS-susceptible groups. Altered levels of Gapdh, microtubular, cytoskeletal, and calcium-binding proteins were identified between the two phenotypes. Increased levels of proteins involved in GABA synthesis, the proteasome system, nitrogen metabolism, and chaperone-mediated protein folding were identified. Predictive proteins make CSIS-resilient vs. CSIS-susceptible groups linearly separable, whereby a 100% validation accuracy was achieved by ML models. The overall ratio of significantly up- and downregulated cytosolic proteins suggests adaptive cellular alterations as part of the stress-coping process specific for the CSIS-resilient phenotype.
收录类别	sci
语种	英语
文献类型	期刊论文
条目标识符	http://ir.kiz.ac.cn/handle/152453/14417
专题	昆明动物研究所
推荐引用方式 GB/T 7714	Filipovic, D,Novak, B,Xiao, JQ,et al. Prefrontal Cortex Cytosolic Proteome and Machine Learning-Based Predictors of Resilience toward Chronic Social Isolation in Rats[J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES,2024,25(5).
APA	Filipovic, D,Novak, B,Xiao, JQ,Tadic, P,&Turck, CW.(2024).Prefrontal Cortex Cytosolic Proteome and Machine Learning-Based Predictors of Resilience toward Chronic Social Isolation in Rats.INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES,25(5).
MLA	Filipovic, D,et al."Prefrontal Cortex Cytosolic Proteome and Machine Learning-Based Predictors of Resilience toward Chronic Social Isolation in Rats".INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 25.5(2024).

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2024073025.pdf（1491KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	请求全文