Dataset Information

Sequencing of proteomic pan-β-hydroxybutyrylation in female germline stem cells

ABSTRACT: Metformin increase the number of FGSCs in mouse ovary, and the increased pan-β-hydroxylbutylated protein modification level in vitro FGSCs was detected by WB. There are the Mass spectrum original data of proteomic examination about pan-β-hydroxybutyrylation sites in female germline stem cells after merformin treatment

ORGANISM(S): Mus Musculus

SUBMITTER: Ji Wu

PROVIDER: PXD038090 | iProX | Fri Nov 11 00:00:00 GMT 2022

REPOSITORIES: iProX

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Metformin promotes female germline stem cell proliferation by upregulating Gata-binding protein 2 with histone β-hydroxybutyrylation.

Wang Xiang X Tian Geng G GG Cheng Weiwei W Yu Xiaoli X Li Xiaoyong X Wu Ji J

Stem cell research & therapy 20230526 1

<h4>Background</h4>Metformin as a first-line clinical anti-diabetic agent prolongs the lifespan of model animals and promotes cell proliferation. However, the molecular mechanisms underlying the proliferative phenotype, especially in epigenetics, have rarely been reported. The aim of this study was to investigate the physiological effects of metformin on female germline stem cells (FGSCs) in vivo and in vitro, uncover β-hydroxybutyrylation epigenetic modification roles of metformin and identify ...[more]

PMID: 37231495

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Project description:This study aims to analyze and compare the post-translational modification differences between human plasma- and genetic recombination-derived human serum albumin (HSA) in clinical treatments in China. 6 different post-translational modifications, including acetylation, succinylation, crotonylation, phosphorylation, beta-hydroxybutyrylation, and lactylation, were detected using pan-specific antibodies through Western blot. The samples, consisting of human plasma-derived HSA (pHSA) from six different manufacturers and recombinant HSA (rHSA) expressed in yeast and oryza sativa, underwent detection of types of post-translational modifications. 4D label-free PTMs quantitative proteomic analysis was conducted to detect N-glycosylation and the above-mentioned post-translational modifications in pHSA and rHSA samples, and analyze the differences in modification sites and levels. Through Western blot analysis, all six pHSA and two rHSA samples were positive in the band of albumin (66.5 kDa) for the six post-translational modifications. Further analysis using 4D label-free PTMs quantitative proteomics revealed 25 (29) acetylated, 30 (32) succinylated, 41 (50) malonylated, 15 (23) phosphorylated, 36 (30) beta-hydroxybutyrylated, and 27 (34) lactylated modification sites in pHSA and rHSA samples and no N-glycosylation modification sites. The analysis results identified 1 acetylation (ALB_K160), 2 beta-hydroxybutyrylation (ALB_K569, ALB_K426), 3 crotonylation (ALB_K264, ALB_K581, ALB_K560), and 15 phosphorylation specific modification sites in pHSA, as well as 3 crotonylation (ALB_K560, ALB_K562, ALB_K75), 1 succinylation (ALB_K490), and 23 phosphorylation specific modification sites in rHSA. In pHSA (rHSA), 2 (6) acetylation, 10 (12) succinylation, 0 (9) crotonylation, 1 (9) phosphorylation, 6 (0) beta-hydroxybutyrylation, and 0 (7) lactylation specific modification sites were found. Additionally, in the common modification sites of pHSA and rHSA, pHSA showed up-regulation of amberylation (16:1) and beta-hydroxybutyrylation (12:2) in more sites, and up-regulation of acetylation (7:11), crotonylation (2:11), phosphorylation (1:8), and lactylation (1:14) in less sites compared to rHSA. In clinical treatment, the used pHSA and rHSA in China generally exhibit acetylation, succinylation, crotonylation, phosphorylation, beta-hydroxybutyrylation, and lactylation, and there are differences in the site characteristics and modification levels of these modifications between pHSA and rHSA. Further experimental investigations are needed to explore the impact of post-translational modification differences on the biological function, efficacy, and safety of pHSA and rHSA.

Project description:For developing a accurate prognostic signature for “pan-driver-gene-negative” LUAD, we employed whole genome microarray expression profiling as a discovery platform to identify candidate genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis based on whole-genome microarrays indicated that the Wnt/β-catenin pathway was activated in “pan-driver-gene-negative” LUAD. Furthermore, the Wnt/β-catenin-pathway-based gene expression profiles revealed 39 transcripts differentially expressed by diagnostic status, with 30 genes being upregulated and 9 downregulated. Finally, a Wnt/β-catenin-pathway-based signature (CSDW) comprising 4 genes (β-catenin, Wnt2b, DVL3 and SOX9) was developed to classify patients into high-risk and low-risk groups in the training cohort. Patients with high-risk scores in the training cohort had shorter overall survival (hazard ratio [HR] 10·42, 6·46–16·79; p<0·001) than patients with low-risk scores. The CSDW performance was further validated in an internal cohort and two external cohorts. The protein expression levels of several hub genes, including β-catenin, SOX9, DVL3 and Wnt2b, were strongly correlated with lymphatic metastasis and distant organ metastasis. Furthermore, a nomogram comprising CSDW and other variables was generated to predict progression-free survival and overall survival in the training cohort and performed well in the three independent validation cohorts (C-index: 0·725, 0·697 and 0·693, respectively). For developing a accurate prognostic signature for “pan-driver-gene-negative” LUAD, we employed whole genome microarray expression profiling as a discovery platform to identify candidate genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis based on whole-genome microarrays indicated that the Wnt/β-catenin pathway was activated in “pan-driver-gene-negative” LUAD. Furthermore, the Wnt/β-catenin-pathway-based gene expression profiles revealed 39 transcripts differentially expressed by diagnostic status, with 30 genes being upregulated and 9 downregulated. Finally, a Wnt/β-catenin-pathway-based signature (CSDW) comprising 4 genes (β-catenin, Wnt2b, DVL3 and SOX9) was developed to classify patients into high-risk and low-risk groups in the training cohort. Patients with high-risk scores in the training cohort had shorter overall survival (hazard ratio [HR] 10·42, 6·46–16·79; p<0·001) than patients with low-risk scores. The CSDW performance was further validated in an internal cohort and two external cohorts. The protein expression levels of several hub genes, including β-catenin, SOX9, DVL3 and Wnt2b, were strongly correlated with lymphatic metastasis and distant organ metastasis. Furthermore, a nomogram comprising CSDW and other variables was generated to predict progression-free survival and overall survival in the training cohort and performed well in the three independent validation cohorts (C-index: 0·725, 0·697 and 0·693, respectively).

Dataset Information

Sequencing of proteomic pan-β-hydroxybutyrylation in female germline stem cells

Publications

Metformin promotes female germline stem cell proliferation by upregulating Gata-binding protein 2 with histone β-hydroxybutyrylation.

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