Ask about this productRelated genes to: PRKCE antibody
- Gene:
- PRKCE NIH gene
- Name:
- protein kinase C epsilon
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 2p21
- Locus Type:
- gene with protein product
- Date approved:
- 1991-08-06
- Date modifiied:
- 2016-01-27
Related products to: PRKCE antibody
Related articles to: PRKCE antibody
- : Lung adenocarcinoma (LUAD) is the most common subtype of non-small-cell lung cancer and is one of the leading causes of cancer-related deaths globally. Despite current developments, reliable biomarkers for effective diagnosis, prognosis, and patient stratification are still lacking. : We analyzed publicly available TCGA-LUAD and GEO datasets using integrative bioinformatics approaches, including differential gene expression, weighted gene co-expression network analysis (WGCNA), survival modeling, mutation profiling, immune cell infiltration scores, machine learning, and bulk-RNA and single-cell RNA sequencing. : A total of 5581 deregulated genes were identified, with the turquoise module (298 genes) showing strong correlation with LUAD (Corr = -0.79, < 2.2 × 10). The integration of two analyses yielded 281 overlapping genes, out of which nine candidates (, , , , , , , , and ) were selected via LASSO Cox regression to build a prognostic risk model. High-risk patients have significantly worse survival (log-rank = 0.0027). exhibited the highest mutation frequency, with 41% of TCGA-LUAD samples harboring mutations. Among all mutation events, missense mutations were the most common (47%). GSEA and KEGG analysis revealed significant enrichment of pathways such as nucleocytoplasmic transport, oxidative phosphorylation, protein processing in the endoplasmic reticulum, ribosome, and ribosome biogenesis in high-risk patients. Immune infiltration analysis indicated differences in immune cell infiltration scores between high- and low-immune-score groups, with M1 macrophages showing strong statistical correlation with aDC, monocytes, and CD4 naïve T cells. Machine learning confirmed that the combined Enet+PLS model predicted as a core predictor, and was successfully validated in independent GEO datasets (GSE43458 and GSE31210), showing strong diagnostic accuracy (AUCs up to 0.98). Finally, single-cell RNA sequencing revealed that was mostly expressed in fibroblasts and myeloid cells, with significantly downregulated in LUAD compared with normal samples. : This study integrates multi-omics and machine learning to highlight as a promising candidate biomarker, with potential diagnostic and prognostic relevance in LUAD. The nine-gene risk signature stratified patients by survival outcomes in the TCGA cohort. Genomic and immune analyses revealed features associated with the high-immune-score group. As the study is entirely computational and the prognostic model lacks external survival validation, these findings should be regarded as preliminary and hypothesis-generating, requiring future independent validation and functional studies to confirm the biological significance and clinical utility of and related genes. - Source: PubMed
Publication date: 2026/09/11
Arya RakeshBiswas Viplov KumarShakya HemlataMajumdar MoumitaKim Jong-Joo - : Parkinson's disease (PD) is characterized by a complex interplay of dopaminergic degeneration, glial activation, and lipid metabolic dysregulation. However, accurately describing how natural product interventions remodel these pathologies across distinct brain regions and cellular microenvironments remains a critical challenge. : We established an integrated multi-omics framework to decode the neuroprotective mechanisms of solanesol (Sol) in an MPTP-induced PD mouse model. We combined single-cell eQTL-based Mendelian randomization (scMR), transcriptomic localization, and virtual knockout analyses to prioritize cell-type-specific regulatory nodes across neuronal, glial, and vascular populations, avoiding the limitations of traditional bulk targeting. In vivo behavioral assays were conducted, alongside orthogonal validation via airflow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) and gene-metabolite co-enrichment analysis, to map regional metabolic networks and structural spatial reprogramming. : Computational prioritization highlighted cell-type-specific regulatory nodes including PRKCB, PRKCE, PDGFRB, and FABP3/5. In vivo, Sol attenuated motor and cognitive deficits and largely restored the highly compartmentalized spatial distributions of striatal dopamine, L-DOPA, and acetylcholine. Crucially, AFADESI-MSI and co-enrichment analysis revealed that Sol specifically reversed MPTP-induced spatial disruptions by rescuing key neuromodulatory metabolites-including cervonoyl ethanolamide, phosphatidylcholine species, taurine, and NADHX-which were tightly coupled to sphingolipid signaling, fatty-acid transport, mitochondrial translation, and cell-adhesion pathways. Conclusions: Sol ameliorates PD-like pathology not through a singular target, but by choreographing a spatially and cellularly compartmentalized restoration of lipid-inflammatory homeostasis. Furthermore, our integrated single-cell and spatial metabolomic blueprint sets a new methodological paradigm for elucidating the precise execution programs of natural neurotherapeutics. - Source: PubMed
Publication date: 2026/07/31
Li QianXu LutaoZhu MingyuWang GaogeChen HuanHou HongweiBai Yu - Elucidating the genetic architecture of body weight (BW), body conformation, and coat color (CC) is vital for the precision breeding of Gamba sheep, a unique high-altitude indigenous breed. While previous studies focused primarily on general plateau adaptation, the specific genetic drivers regulating economic traits in this extreme-altitude population remain poorly understood. In this study, we characterized six key phenotypic traits and conducted genome-wide association studies (GWAS) leveraging whole-genome resequencing data from 296 individuals. To ensure the robustness of our findings, we systematically evaluated five statistical models (GLM, MLM, CMLM, MLMM, and the SUPER model) across different trait categories. The SUPER model was ultimately selected for growth-related traits due to its superior power in balancing signal sensitivity and false-positive control, whereas the MLMM model demonstrated the optimal fitting performance for the binary coat color phenotype, with both models consistently yielding genomic inflation factors ( λ ) close to the theoretical expectation ( 1.0). Phenotypic investigation revealed distinct sexual dimorphism in growth determinants: cannon bone circumference was the primary driver of body weight in rams, whereas body height and heart girth dominated in ewes. The GWAS identified 82 genome-wide significant SNPs, leading to the mapping of a prominent novel genomic region on chromosome 5 associated with body height. Functional annotation highlighted PRKCE and SGIP1 as plausible positional candidate genes for growth characteristics, while SPIRE2 was pinpointed as a primary genomic driver regulating coat color variation. These findings provide novel insights into the genetic blueprint governing growth and pigmentation in this unique livestock, offering precise molecular targets for future marker-assisted selection. - Source: PubMed
Publication date: 2026/06/15
Zhang YangshenZhou HongbinGesang LuobuZhaxi DuojiPubu CirenHong MiaoZhang JipanZhao Yongju - Usher syndrome (USH) is an autosomal recessive disorder characterized by hearing loss, retinitis pigmentosa, and variable vestibular dysfunction. USH2A is one of the causative genes of USH. This study is aimed at exploring the mechanism of hearing loss induced by USH2A gene knockout. - Source: PubMed
Publication date: 2026/05/28
Chen ChiXu BaichengDang JiongTan HuanBian PanpanWang YanliGuo Yufen - Gualou Xiebai Banxia decoction (GXB) is a classic formula originated from "Synopsis of the Golden Chamber", with efficacy in activating cardiac "yang", resolving phlegm, and promoting blood circulation. Nearly 2000 years of clinical practice have demonstrated the efficacy of GXB in managing myocardial ischemia (MI). Nevertheless, its regulatory effects on metabolic disturbances associated with MI and the underlying mechanisms remain obscure. - Source: PubMed
Publication date: 2026/05/17
Zuo Li-HuaYang Sheng-JieZhang Zhi-BoHe Chen-HanWei Yu-JieAn Ya-RanZhao Song-FengSun ZhiLiu Li-Wei