PRKAR2B pSer113 antibody Ab
- Known as:
- PRKAR2B pSer113 (anti-) Antibody
- Catalog number:
- 1488068
- Product Quantity:
- EUR
- Category:
- -
- Supplier:
- Acris antibodies
- Gene target:
- PRKAR2B pSer113 antibody
Related genes to: PRKAR2B pSer113 antibody Ab
- Gene:
- PRKAR2B NIH gene
- Name:
- protein kinase cAMP-dependent type II regulatory subunit beta
- Previous symbol:
- PRKAR2
- Synonyms:
- -
- Chromosome:
- 7q22.3
- Locus Type:
- gene with protein product
- Date approved:
- 1991-07-17
- Date modifiied:
- 2016-01-27
Related products to: PRKAR2B pSer113 antibody Ab
Related articles to: PRKAR2B pSer113 antibody Ab
- Parkinson’s disease (PD) is a progressive neurodegenerative disorder, in which ferroptosis and dysregulation of lipid metabolism are believed to play critical roles. However, the key genes and molecular mechanisms underlying these processes remain to be fully elucidated. We combined bioinformatics analyses with experimental validation to identify and characterize central genes involved in ferroptosis and lipid metabolism in PD. Integrated bioinformatics analysis identified 44 candidate genes associated with ferroptosis and lipid metabolism in PD. Machine learning refined these to three core genes: , , and . Expression analysis revealed significant upregulation of and and downregulation of in PD samples. Receiver Operating Characteristic (ROC) analysis indicated strong diagnostic potential for all three genes. Functional enrichment suggested their involvement in neuroinflammation, energy metabolism, and neuroprotective pathways. Immune infiltration analysis revealed significant correlations between these genes and specific immune cell types. In cellular models, knockdown of attenuated MPP-induced oxidative stress, ferroptosis, and inflammatory activation, while also restoring dopaminergic neuronal function. ELISA results from PD patient cerebrospinal fluid (CSF) samples further confirmed the dysregulation of these genes, supporting their clinical relevance. This study identifies , , and as key genes linking ferroptosis and lipid metabolism in Parkinson’s disease. These genes demonstrate strong diagnostic value and are closely associated with neuroinflammation and immune responses. Experimental validation underscores the protective effect of knockdown against ferroptosis and inflammatory damage. Our findings suggest that RELA(p65) may serve as a promising diagnostic biomarker and therapeutic target for PD. - Source: PubMed
Publication date: 2026/03/11
Chen QingfaJing YajunBu WeitingZhang JunliLiu WenqingShi ChuanyingLiu ChengSu Daoqing - By virtue of its function as a key metabolic regulator, malignant transformation in the pancreas not only confers high aggressiveness but also disrupts systemic metabolism. However, the causal relationship between metabolic reprogramming and the progression of pancreatic ductal adenocarcinoma (PDAC) remains incompletely understood. This study identifies aberrant protein kinase A (PKA) activation in PDAC, correlating with poor prognosis. Mechanistically, downregulation of the transcription factor hematopoietically expressed homeobox (HHEX) represses protein kinase cAMP-dependent type II regulatory subunit beta (PRKAR2B), relieving inhibition on PKA catalytic activity. A high-glucose microenvironment promotes cAMP production, further activating PKA, which then enhances glycolysis via specific upregulation of hexokinase 2 (HK2). , high glucose synergized with PKA activation to promote metastasis, whereas glycolysis inhibition blocked new metastases. Thus, HHEX-PRKAR2B-mediated PKA activation is a critical hub for PDAC progression, modulated by glucose and reinforcing glycolysis via HK2, revealing novel therapeutic targets for metabolic intervention. - Source: PubMed
Publication date: 2026/01/14
Wen JunxiangLi QiuchenXu ShuxiangLu WenjunWu FeiLou JiataoWang Lin - Yulin black duck with an all black body, is a native duck breed from Guangxi Province, China, and people like to use the duck to make soup because its meat is considered as a nutritious food and medicinal herb. At present, the molecular mechanisms related to its meat characteristics are still unclear. Furthermore, the differences in muscle development between Yulin black duck and Pekin duck need to be thoroughly investigated. This study aims to elucidate the disparities in muscle development between the two duck breeds and provide foundational data to enhance our understanding of the meat production mechanisms in Yulin black duck. In this study, three embryonic developmental stages (E15, E21 and E27) of Pekin duck and Yulin black duck were selected to investigate muscle development. Integrated transcriptomics and metabolomics were jointly analyzed to compare the significantly different metabolites (SDMs) and differentially expressed genes (DEGs) associated with muscle development between the two duck breeds at identical embryonic stages. The RNA-seq results were further validated using qRT-PCR. The results revealed a total of 106 DEGs in BME 15 vs. PME 15 (BM: the muscle of Yulin black duck, PM: the muscle of Pekin duck), with 57 genes up-regulated and 49 genes down-regulated. A total of 135 DEGs were identified in BME 21 vs. PME 21, including 74 up-regulated and 84 down-regulated genes. In BME 27 vs. PME 27, 65 DEGs were up-regulated, and 70 were down-regulated. As important DEGs about muscle development, CLDN18, PRKAR2B, PHGDH, GPT2, ASL, WIF1, CHRM5, NTNG1, and LOC101804261 were identified. Significant metabolic pathways included the Wnt signaling pathway (apla04310), regulation of the actin cytoskeleton (apla04810), biosynthesis of amino acids (apla01230), cell adhesion molecules (apla04514), and the insulin signaling pathway (apla04910). Meanwhile, 68, 80, and 69 differential metabolites were identified at three embryonic development stages (E15, E21, and E27), primarily involving the glycerophospholipid category: PE(22:4/0:0), PE(P-16:0/22:6(4Z,7Z,10Z,13Z,16Z,19Z)), PE(15:0/0:0), and PG 38:5. Combined analysis demonstrated that ETNPPL exhibited a negative correlation with the expression of differential metabolites such as PG and PI in the glycerophospholipid metabolism pathway. In contrast, HDC and acetylhistamine showed a positive correlation in the histidine metabolism pathway. Additionally, GAD1, which was involved in the alanine, aspartate, and glutamate metabolism pathway, displayed a negative correlation with specific metabolites. In conclusions, CLDN18, PRKAR2B, PHGDH, GPT2, ASL, WIF1, CHRM5, NTNG1, and LOC101804261 were important DEGs in the breast muscles of the Pekin duck and Yulin black duck at the same period of the embryonic stage, and the SDMs of the two duck species were mainly glycerophospholipids. Significant metabolic pathways included the Wnt signaling pathway, regulation of the actin cytoskeleton, biosynthesis of amino acids, cell adhesion molecules, and the insulin signaling pathway. These results will provide effective information and more evidence for further exploring the regulatory mechanisms of skeletal muscle development in duck breeds. - Source: PubMed
Publication date: 2026/01/14
Hu ZhigangCai YingjieZhi ZhuoCui MengmengZhang HuiyaZhou JieZhang JianqinLiu Xiaolin - Protein phosphorylation is an important molecular event in tumor angiogenesis that is a canonical hallmark in glioma. We hypothesize that the phosphoproteome and phosphorylation-mediated signaling networks are significantly different in glioma neovascular tissues compared to controls, which aimed to identify glioma angiogenesis phosphoproteomic landscape, phosphorylation-mediated signaling pathways, kinase-substrate networks, and phosphorylation biomarkers with integration of phosphoprotein data and multiomics data, for deep understanding of molecular mechanisms of glioma angiogenesis, discovery of effective antiangiogenesis therapeutic targets, and establishment of angiogenesis-related phosphorylation biomarker signature for patient stratification, early-stage diagnosis, and effective prognostic assessment, in the framework of predictive, preventive, and personalized medicine (PPPM, 3PM) approaches. This study used laser capture microdissection to isolate neovascular tissues from gliomas, followed by quantitative phosphoproteomics analysis, which identified 195 differentially phosphorylated proteins (DPPs) with 635 phosphosites and 58 hub DPPs. Pathway analysis of 195 DPPs found that cell adhesion-related pathways and HIF-1 signaling pathway were significantly regulated by phosphorylation to associate with glioma angiogenesis. Upstream kinase analysis found 321 upstream kinases to regulate the intratumoral neovascular tissue-associated phosphorylation, including 12 kinases that were differentially expressed in glioma neovascular tissues and 2 kinases (CAMK2D and MYLK) that were also DPPs, and 48 chemotherapeutic agents as kinase inhibitors such as staurosporine that had antiangiogenesis effects in glioma. Integrated analysis of DPPs and DEGs (differentially expressed genes) revealed 82 overlapped molecules; of them, SYN1, STX1A, PRKAR2B, PACSIN1, LSP1, HSPB1, and DMTN were associated with overall survival of glioma, and ANK1, L1CAM, and LSP1 were constructed as glioma prognosis signature. Immunohistochemistry confirmed hypophosphorylation at PDHA1-Ser293/300 in glioma angiogenesis. This study provided the first phosphoproteome landscape, kinase profile, phosphorylation-mediated signaling pathway network alterations in human glioma neovascular tissues, and effective tumor angiogenesis-based biomarkers for patient stratification, prognostic assessment, and targeted therapy in glioma. These findings provide concrete molecular targets for antiangiogenic therapy and establish clinically actionable biomarkers for glioma patient stratification in the 3PM framework. - Source: PubMed
Publication date: 2025/11/03
Gong XiaoxiaGuo TianyaoLi ChunlinLi ZhijunLi XuejunYang LameiLi NaZhan Xianquan - Endometriosis (EMs) is a chronic disease affecting millions of women worldwide, yet its pathogenesis remains unclear, and current diagnostic methods are limited. This study based on the EMs dataset from Gene Expression Omnibus (GEO), key genes related to cell apoptosis in EMs were identified through methods such as differential expression analysis and machine learning. Furthermore, analyses including nomogram construction, immune infiltration analysis, and drug prediction were performed based on these key genes. Three apoptosis-related genes-FAS, PRKAR2B and CSF2RB were identified as key genes. The nomogram constructed based on these key genes has good predictive performance. Immune infiltration analysis revealed associations between CSF2RB and activated B cells and immature dendritic cells, while FAS correlated with myeloid-derived suppressor cells (MDSCs). Additionally, potential therapeutic agents targeting these genes were identified. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis revealed that FAS and CSF2RB expression levels were significantly downregulated in the EMs group compared to controls (P < 0.05). In conclusion, FAS, PRKAR2B and CSF2RB are promising diagnostic biomarkers for EMs and are associated with specific immune cell populations, offering potential targets for future therapeutic interventions. - Source: PubMed
Publication date: 2025/09/29
Weng XiulanYe JingxuanLin WenyuWang DingjieYi JinsongWang ZhenhongSun Pengming