Ask about this productRelated genes to: Akt3 protein
- Gene:
- AKT3 NIH gene
- Name:
- AKT serine/threonine kinase 3
- Previous symbol:
- -
- Synonyms:
- PKBG, RAC-gamma, PRKBG
- Chromosome:
- 1q43-q44
- Locus Type:
- gene with protein product
- Date approved:
- 1999-11-16
- Date modifiied:
- 2018-02-13
Related products to: Akt3 protein
Related articles to: Akt3 protein
- This study aims to explore the regulatory effect of miR-511-3p expression imbalance on the AKT3/USP8 signaling pathway, as well as the "molecular bridge" function of this signaling imbalance between neuroinflammation and post-stroke cognitive impairment (PSCI). - Source: PubMed
Publication date: 2026/04/28
Zhao WeiSong KangpingYang FenXiao HuiLiu YanYu YachunWang Te - Acute lung injury (ALI) is a severe, life-threatening inflammatory condition, characterized by uncontrolled neutrophilic inflammation and tissue damage. That emphasized the urgent need for innovative pharmacologic therapies. The aim of this study was to investigate the effects of Celastrol, a major bioactive compound extracted from the Thunder of God Vine, and the underlying mechanisms of its impact on ALI. - Source: PubMed
Publication date: 2026/05/08
Zhang YuYang YunLin ZhifengChen RikenQiang XinhuaLi ChangGuo WeiguangCao JunYe YinongZhou Lixin - Cuproptosis, a newly discovered form of copper-driven regulated cell death, has been shown to be closely related to ovarian function. However, whether the oocyte dysfunction, decreased ovulation efficiency, and cumulus cell aging caused by copper overload or imbalance are associated with regulatory pathways related to cuproptosis remains unclear. In this study, the expression profiles of genes related to cuproptosis in cumulus cells were comprehensively analyzed through transcriptome sequencing and metabolome analysis, and key genes and pathways that affect oocyte maturation were identified in response to elesclomol and CuSO treatment. Transcriptome analysis of cumulus cells revealed the differential expression of genes involved in key biological processes, such as cellular senescence (AKT3, MORC3, RBL1, etc.), gap junctions (GJA1, GNAI1, GJB3, etc.), steroid biosynthesis (FDX1, HSD17B7, CYP1A1, etc.), and cell cycle regulation (CDK2, CCNB2, MAPK7, etc.). Metabolomic analysis revealed significant changes in the levels of malic acid, PS (18:3(10,12,15)-OH(9)/14:0), and PA (21:0/LTE4), among other compounds. Subsequent Smart-seq analysis of oocytes revealed that after cuproptosis was induced in cumulus cells, oocyte maturation was disrupted, which affected genes associated with cellular senescence (TGFB2, SIRT1, CHEK2, etc.), oocyte meiosis (FBXO5, CCNB3, PLK1, etc.), and DNA methylation (PPM1D, DNMT3B, KMT2A, etc.). These findings provide deeper theoretical support for the key genes and biological processes involved in cumulus cell regulation and oocyte maturation, further clarifying the regulatory mechanisms of cuproptosis in the field of reproduction. - Source: PubMed
Publication date: 2026/05/05
Xu HongTian TianXu DanDu XiaoxueSu RuiLiang JinghongLiu YingZhang YuqingLiu ChangLiang ShuangLi QingyingDing DeliHan YongshengZhai BoLi JidongChen ChengzhenZhang JiabaoJiang HaoYuan Bao - Epidemiological studies show an inverse association between cigarette smoking and Parkinson's disease (PD), suggesting a potential protective effect of smoking on PD incidence, despite the well-established and overwhelming harms of smoking to human health. We integrated genomic and proteomic approaches to investigate the causality and molecular basis of this potential relationship. - Source: PubMed
Publication date: 2026/04/20
Shi MingjianGunawan TommySetzer MichaelOkashah NajeahLiu YueWingo Thomas SWingo Aliza PWeintraub DanielSchwarzschild Michael ARentsch Christopher TKranzler Henry RGray Joshua C - Genome-wide association studies (GWAS) based on single-step genomic BLUP (ssGBLUP) commonly assume equal single nucleotide polymorphism (SNP) variances, which may not reflect the biological architecture of complex traits. Alternative weighting strategies can increase detection power but may affect stability. This study evaluated how different SNP weighting approaches influence genomic region detection and biological interpretation of ribeye area (REA) and subcutaneous fat thickness (SFT) in Guzerá cattle. Phenotypic records from 2729 animals and genotypes from 1405 individuals (43,039 SNPs after quality control) were analyzed. Heritabilities were estimated using Restricted Maximum Likelihood (REML), and GWAS were conducted under five approaches: unweighted method (UM), quadratic method (QM), and three Non-Linear A strategies with weighting constants (1.125, 1.2, and 1.5). Genomic windows of 20 adjacent SNPs explaining ≥0.5% of the additive genetic variance (AGV) were considered significant. Recurrent regions were prioritized, and functional enrichment analyses (KEGG, GO, and MeSH) were performed. Heritability estimates were moderate for REA (0.26 ± 0.05) and SFT (0.22 ± 0.04). Weighted approaches increased detection sensitivity. For REA, UM identified 10 windows, whereas QM and A_1.5 detected 24 and 31 windows. For SFT, UM identified 8 windows, while QM and A_1.5 detected 30 and 23 windows. Recurrent chromosomes included 2, 4, 6, 12, 16, 19, and 22 for REA, and 2, 3, 5, 7, 11, 17, and 22 for SFT. Key genes included , , and . Enrichment highlighted pathways related to muscle growth and lipid metabolism. SNP-weighted GWAS increased detection sensitivity but involved trade-offs between signal amplification and stability. Integrating weighting strategies improves biological interpretation and supports robust candidate gene identification for genomic selection. - Source: PubMed
Publication date: 2026/03/28
Dos Reis Hugo BorgesMaiorano Amanda MarchiOliveira ElisângelaTonetto FilippiBaldi FernandoFragomeni Breno de OliveiraFerraz José Bento Sterman