JNK2 (dn)
- Known as:
- JNK2 (dn)
- Catalog number:
- 000571A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- JNK2 ()
Related genes to: JNK2 (dn)
- Gene:
- MAPK9 NIH gene
- Name:
- mitogen-activated protein kinase 9
- Previous symbol:
- PRKM9
- Synonyms:
- JNK2, p54a, SAPK
- Chromosome:
- 5q35.3
- Locus Type:
- gene with protein product
- Date approved:
- 1998-04-28
- Date modifiied:
- 2016-10-05
Related products to: JNK2 (dn)
Related articles to: JNK2 (dn)
- Cashmere production declines with age in cashmere goats, but the molecular mechanisms are unknown. This study employed a transcriptome-wide RNA-seq analysis to compare age-associated and breed-related gene expression profiles in goat skin, with particular emphasis on age-dependent expression and its associated signaling pathways. Skin tissues from cashmere goats at 12 and 15 months and age-matched non-cashmere controls were analyzed by RNA-seq (BGIDNBSEQ platform). Differential expression and functional enrichment analyses were performed on skin transcriptomes of cashmere and control goats at 12 and 15 months. Age-specific functional profiles emerged: 12-month cashmere goats showed enrichment in GTPase activity, glucose transport, and ribosomal assembly, whereas 15-month goats were enriched for autophagosome assembly and apoptosis. FoxO signaling was commonly enriched across both ages, while the Hepatitis B pathway was unique to 12 months. was significantly upregulated at 12 months coinciding with peak cashmere production with reduced expression at 15 months. This age-dependent pattern was supported by coordinated regulation of downstream effectors, including , , , and . Collectively, these transcriptomic data provide a mechanistic framework linking age-dependent regulation to the decline in cashmere fiber production. - Source: PubMed
Publication date: 2026/07/10
Ghauri Muhammad ZainZafar AyeshaNiaz M KhuzemaNazir UsmanMunir AsimHamza MuhammadZahra KiranJi Dejun - - Source: PubMed
Publication date: 2026/07/22
Huang XiaoruiWang JieZhao XiaoyueSooranna Suren RaoLiao BaoJian ChongdongShang JingweiLi Xuebin - Pachymic acid (PA) is a natural active component of Poria cocos(Schw.)Wol. Although PA exhibits antitumor activity in multiple cancers, its effects and mechanisms against glioma remain elusive. This study aimed to investigate the anti-glioma effects of PA and identify its potential candidate core targets and pathways. Functional experiments demonstrated that PA significantly inhibited the proliferation, migration, and invasion of glioma cells and induced apoptosis in a dose-dependent manner. Using network pharmacology, machine learning, and bioinformatics analysis, we screened six candidate targets: PDE4D, CAPN2, MAPK9, EPHB6, CCKBR, and FAAH. TCGA analysis confirmed that CAPN2 and PDE4D were upregulated in glioma, while the others were downregulated. Molecular docking, an in silico predictive approach, suggested that PA may potentially form favorable binding conformations with these core targets based on calculated binding energies. Further verification revealed that PA treatment was associated with reduced AKT and mTOR phosphorylation, suggesting that the PI3K-AKT-mTOR pathway may be involved in mediating its anti-glioma activity. In conclusion, PA exerts dose-dependent anti-glioma cellular effects through multi-gene regulation, and the suppressed activation of the PI3K-AKT pathway may correlate with its anti-tumor function. These results provide a theoretical basis for developing PA as a potential therapeutic agent for glioma. - Source: PubMed
Publication date: 2026/07/17
Zhang MinLiu YingyanLi ZhijianZhang XiangrongCui HairuiTian JianingYang Jiankai - To explore the hub genes and pathways associated with sarcopenia progression from the perspective of mitochondrial dysfunction and macrophage activation. The GEO datasets GSE8479, GSE1428 and GSE136344 were obtained from the GEO database. Mitochondria-related genes (MRGs) and macrophage activation-related genes (MARGs) were identified. Functional enrichment analyses, PPI analysis, diagnostic model construction, molecular subtyping and ssGSEA-based immune enrichment analysis were performed. Key genes were further validated by RT-qPCR. A total of 62 mitochondria- and macrophage activation-related differentially expressed genes (M&MARDEGs) were identified. Nine key genes (IGF1, FTL, MAPK8, MAPK9, TF, CREB1, FAS, VEGFA and NFKB1) were retained in the final diagnostic model. Immune enrichment analysis suggested distinct immune-related transcriptional characteristics among different risk groups and molecular subtypes. RT-qPCR validation demonstrated that IGF1, FAS and MAPK9 were significantly downregulated, whereas FTL, TF, CREB1 and NFKB1 were significantly upregulated in the sarcopenia model group. MAPK8 and VEGFA showed decreasing trends without statistical significance. Integrated transcriptomic analysis identified key genes potentially associated with sarcopenia through the intersection of mitochondrial dysfunction and macrophage activation. These findings provide insights into the molecular characteristics of sarcopenia and may offer candidate targets for future mechanistic and translational studies. - Source: PubMed
Li BangzhiShi LongWang QiongLi YangZhao LiangZhao RongcanWang YanjinZhou YingjieGu Shan - Early separation of atypical Parkinsonian syndromes (APS) from idiopathic Parkinson's disease (iPD) remains challenging. Given that many brain-biased circular RNAs (circRNAs) are stable and expressed in blood cells, peripheral blood mononuclear cell (PBMC) circRNAs were profiled in 140 individuals (iPD 43, MSA 35, PSP 19, healthy controls 43) using RT-qPCR across 46 a priori candidates. Group differences were analyzed using the Kruskal-Wallis test with FDR correction; clinical associations were examined using Bonferroni-corrected Spearman correlations with a bootstrap stability assessment; and discrimination was assessed using logistic regression with nested repeated cross-validation, calibration analysis, and ROC analysis. Six circRNAs differed across groups after FDR adjustment (SLC8A1_circ_0000994, MAPK9_circ_0001566, MGA_circ_0000591, AGTPBP1_circ_0007162, SFMBT2_circ_0000211, HIPK3_circ_0000284), with median levels lowest in iPD and highest in PSP. Internally cross-validated multi-marker panels achieved AUCs of 0.88 for PSP versus controls, 0.78 for PSP versus iPD, and 0.67 for MSA versus iPD. Several circRNAs, including non-differential ones, showed bootstrap-stable associations with cognitive, mood, working-memory, and praxis measures. ENCORI- and CircInteractome-based analyses placed the differentially expressed circRNAs within a shared RBP interaction landscape and identified modest but significant miRNA-target overlap. Findings indicate that PBMC circRNA patterns aid APS-iPD differentiation and align with clinical impairment within this cohort; external validation, longitudinal assessment, and mechanistic studies are needed to establish diagnostic performance and biological relevance. - Source: PubMed
Ravanidis StylianosBougea AnastasiaKattan Fedon-GiasinStefanis LeonidasDoxakis Epaminondas