Dataset Information

Proteomic Analysis of Lysine lactylation in adipose tissue of HIIT mice

ABSTRACT: This project carried out a quantitative study of the target proteins that are lactylated and regulated by lactate levels in iWAT of HIIT mice. In order to ensure a high degree of credibility of the results, we quantitatively analyzed the changes in protein lactylation in three groups. Modification sites in both groups with p <0.05 were considered significantly different modifications, and the standard for up- or down-regulated modification sites was set as a fold change >1.3 or <0.7, respectively. In this study, We identified 602 quantifiable sites and 217 quantifiable proteins. Subsequently, we carried out a systematic bioinformatics analysis of proteins containing quantitative information sites, including protein annotation, functional classification, functional enrichment and cluster analysis based on functional enrichment.

ORGANISM(S): Mus <genus>

SUBMITTER: Jing Zhang

PROVIDER: PXD044919 | iProX | Tue Aug 29 00:00:00 BST 2023

REPOSITORIES: iProX

ACCESS DATA

Publications

High-intensity interval training induces lactylation of fatty acid synthase to inhibit lipid synthesis.

Chen Xuefei X Huang Wenhua W Zhang Jingbo J Li Yanjun Y Xing Zheng Z Guo Lanlan L Jiang Hongfeng H Zhang Jing J

BMC biology 20230919 1

<h4>Background</h4>The aim of study was to observe the effect of increased lactate levels during high-intensity interval training (HIIT) on protein lactylation, identify the target protein, and investigate the regulatory effect of lactylation on the function of the protein.<h4>Methods</h4>C57B/L6 mice were divided into 3 groups: the control group, HIIT group, and dichloroacetate injection + HIIT group (DCA + HIIT). The HIIT and DCA + HIIT groups underwent 8 weeks of HIIT treatment, and the DCA + ...[more]

PMID: 37726733

Similar Datasets

Project description:Chavez2009 - a core regulatory network of OCT4 in human embryonic stem cells A core OCT4-regulated network has been identified as a test case, to analyase stem cell characteristics and cellular differentiation. This model is described in the article: In silico identification of a core regulatory network of OCT4 in human embryonic stem cells using an integrated approach. Chavez L, Bais AS, Vingron M, Lehrach H, Adjaye J, Herwig R BMC Genomics, 2009, 10:314 Abstract: BACKGROUND: The transcription factor OCT4 is highly expressed in pluripotent embryonic stem cells which are derived from the inner cell mass of mammalian blastocysts. Pluripotency and self renewal are controlled by a transcription regulatory network governed by the transcription factors OCT4, SOX2 and NANOG. Recent studies on reprogramming somatic cells to induced pluripotent stem cells highlight OCT4 as a key regulator of pluripotency. RESULTS: We have carried out an integrated analysis of high-throughput data (ChIP-on-chip and RNAi experiments along with promoter sequence analysis of putative target genes) and identified a core OCT4 regulatory network in human embryonic stem cells consisting of 33 target genes. Enrichment analysis with these target genes revealed that this integrative analysis increases the functional information content by factors of 1.3 - 4.7 compared to the individual studies. In order to identify potential regulatory co-factors of OCT4, we performed a de novo motif analysis. In addition to known validated OCT4 motifs we obtained binding sites similar to motifs recognized by further regulators of pluripotency and development; e.g. the heterodimer of the transcription factors C-MYC and MAX, a prerequisite for C-MYC transcriptional activity that leads to cell growth and proliferation. CONCLUSION: Our analysis shows how heterogeneous functional information can be integrated in order to reconstruct gene regulatory networks. As a test case we identified a core OCT4-regulated network that is important for the analysis of stem cell characteristics and cellular differentiation. Functional information is largely enriched using different experimental results. The de novo motif discovery identified well-known regulators closely connected to the OCT4 network as well as potential new regulators of pluripotency and differentiation. These results provide the basis for further targeted functional studies. This model is hosted on BioModels Database and identified by: MODEL1305010000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Proteomic Analysis of Lysine lactylation in adipose tissue of HIIT mice

Publications

High-intensity interval training induces lactylation of fatty acid synthase to inhibit lipid synthesis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets