Ask about this productRelated genes to: PPP1A antibody
- Gene:
- PPP1CA NIH gene
- Name:
- protein phosphatase 1 catalytic subunit alpha
- Previous symbol:
- PPP1A
- Synonyms:
- PP1A, PP-1A, PP1alpha
- Chromosome:
- 11q13
- Locus Type:
- gene with protein product
- Date approved:
- 1989-10-11
- Date modifiied:
- 2016-02-10
Related products to: PPP1A antibody
Related articles to: PPP1A antibody
- Pulmonary artery stenosis (PAS) is a major cause of pulmonary hypertension (PH). The advancement of non-invasive biomarkers to identify PAS in high-risk individuals has the potential to enhance the precision of clinical evaluations related to PH. This study aimed to present evidence that gene expression data within blood platelets could be valuable for detecting PAS in patients with PH. - Source: PubMed
Publication date: 2026/03/13
Jin JunhaoSu HonglingWan ZunminZhao YatingZhao HongfanTang AipingMa YaLiu HuanGao TongtongMa LikeWang AqianLi BoJiang KaiyuZhang FuZhang YunheJiang MeiZhang ChenxiZhang MinCao Yunshan - Genetic analyses of schizophrenia (SCZ) patients have identified thousands of risk factors. In silico protein-protein interaction (PPI) network analysis has provided strong evidence that disrupted PPI networks underlie SCZ pathogenesis. In this study, we performed in vivo PPI analysis of several SCZ risk factors (i.e., Grin2b, Grm5, Gsk3b, Map2k1, Ppp1ca, Stx1a, Syngap1, and Syt1) in the rodent brain. Using endogenous antibody immunoprecipitations analyzed by liquid chromatography coupled to mass spectrometry, we constructed a SCZ network comprising 1612 unique PPI with a 5% FDR. Over 90% of the PPIs have not been previously reported. AlphaFold3 was employed to identify direct PPI interactors. Our SCZ PPI network was enriched with known SCZ risk factors, which supports the hypothesis that an accumulation of disturbances in selected PPI networks underlies SCZ. We used Stable Isotope Labeling in Mammals (SILAM) to quantitate phencyclidine (PCP) perturbations in the SCZ network and found that PCP weakened most PPI but also led to some enhanced or new PPI. These findings demonstrate that quantifying PPI in perturbed biological states can reveal alterations to network biology. - Source: PubMed
Publication date: 2026/03/07
McClatchy Daniel BLane JeffPowell Susan BYates Iii John R - The flavor of chicken meat is a major determinant of consumer preference, yet its genetic basis remains poorly understood. Here, we integrated volatile metabolomics, RNA-seq, proteomics, and phosphoproteomics of breast muscle from Qingyuan partridge chicken (QPC) and Cobb broiler (CB). 318 volatile compounds were detected, among which eight (2-pentylfuran, isophorone, 2-undecanone, benzaldehyde, pentanal, 2-heptanone, ethyl acrylate, and 1-octanol) were key differentiators between breeds. Multi-omics analysis revealed carbohydrate metabolism genes (GPI, PGM1, FBP2, LDHA, PGAM1, PGK2, LDHB, PFKM, PKLR, ALDOA, LOC107050559) significantly correlated with key volatile compounds, with GPI and LDHA correlated with all key compounds across expression and phosphorylation levels. Importantly, we identified a PPP1R3A-PPP1CA-GYS1 phosphorylation axis that regulates glycogen metabolism and thereby influences precursor content for Maillard reactions. These findings suggest that carbohydrate metabolism and its phosphorylation cascades may contribute to meat flavor, providing a molecular basis for genetic improvement in poultry. - Source: PubMed
Publication date: 2026/01/20
Yang XinChai XuewenGong JishangLuo WenXu Jiguo - Type 2 diabetes mellitus (T2DM) is a complex metabolic disorder. Emerging evidence suggests asparagine metabolism might play a pivotal role in T2DM, yet the underlying molecular mechanisms remain elusive. This study aimed to detect asparagine-related biomarkers and expound their functional roles in T2DM pathogenesis. - Source: PubMed
Publication date: 2025/12/17
Xia JiayiCai TaoChen PeiyinGan LuCao BoKong Mingming - Hepatocellular carcinoma (HCC) is a prevalent and deadly cancer worldwide, characterized by poor prognosis, multiple therapeutic challenges, and considerable heterogeneity among patients with diverse etiologies. This heterogeneity contributes to resistance to chemotherapies and molecularly targeted agents, posing a major therapeutic challenge. Therefore, there is an increasing need for treatment strategies targeting HCC across various biological processes. miR-192-5p has been reported to function as a tumor suppressor in HCC, but its target genes remain largely unknown. In this study, we aimed to identify novel target genes of miR-192-5p in HCC using RNA sequencing and 3'-untranslated region analysis. As a result, eight genes-EFEMP1, DLG5, PPP1CA, FAM234B, RPL4, SEC23B, ELOVL1, and CBFB-were identified as novel target genes of miR-192-5p, all of which were significantly upregulated in HCC tissues. Notably, three genes-CBFB, SEC23B, and RPL4-were also validated as novel targets of miR-194-5p, which clusters with miR-192-5p. These findings suggest that miR-192-5p exerts its tumor-suppressive function by inhibiting a novel gene network that may contribute to HCC progression. This study provides new insights into the molecular mechanisms underlying HCC heterogeneity and highlights miR-192-5p-regulated networks as potential therapeutic targets for HCC. - Source: PubMed
Saito YoshifumiObayashi AkariIchikawa RihoIwasaki WakanaKato YuyaNinomiya KazumiInoue Yusuke