Ask about this productRelated genes to: SERPINA5 antibody
- Gene:
- SERPINA5 NIH gene
- Name:
- serpin family A member 5
- Previous symbol:
- PLANH3, PCI
- Synonyms:
- PAI3, PROCI
- Chromosome:
- 14q32.13
- Locus Type:
- gene with protein product
- Date approved:
- 1992-10-02
- Date modifiied:
- 2016-10-05
Related products to: SERPINA5 antibody
Related articles to: SERPINA5 antibody
- This study aimed to investigate the spatial cellular architecture and molecular interactions in healthy and inflamed dental pulp using spatial transcriptomics (Visium HD), to elucidate the pathological mechanisms of pulpitis and identify potential therapeutic targets for vital pulp therapy. - Source: PubMed
Publication date: 2026/06/15
Zhang FengyuanKong YuanyuanFu XiaobinZuo JiyuanGuo QiningWang JiayiXu ManlinZeng QianZhang YuejiaoLing JunqiJiang QianzhouWei XiZheng Jianmao - Diabetic foot ulcers (DFUs) represent a severe chronic complication of diabetes and are characterized by persistent impairment of wound healing, accompanied by defective angiogenesis, chronic inflammation, and dysregulated extracellular matrix remodeling. Although impaired angiogenesis is widely recognized as a key pathological feature of DFUs, its associated molecular alterations have not been systematically characterized at the transcriptomic and cellular levels. - Source: PubMed
Publication date: 2026/05/13
Hu XiangjunDong DegangWang YunfeiCai HongYin HongweiYan Zhangren - Oral Submucous Fibrosis (OSMF) is a significant global oral health problem, particularly prevalent in India, with a high risk of progression to Oral Squamous Cell Carcinoma (OSCC). This study investigates the molecular mechanisms involved in the transformation of OSMF to OSCC using transcriptomic profiling. High-throughput RNA sequencing was performed on fresh de novo OSCC samples ( = 8) and OSMF derived OSCC using Illumina-compatible NEXTflex Rapid Directional RNA Sequencing. Normalization and differential gene expression analysis were conducted, and genes exhibiting an absolute log2 fold change of ≥2 with a co-variate-adjusted -value ≤ 0.05 were identified as significant. Upregulated genes were associated with cytokine and immune responses (ABRA, TTTY14, EIF1AY), cellular proliferation and apoptosis (LINC00314, RPS4Y1, SERPINA5, TRIM63, FABP7), and energy metabolism, indicating metabolic adaptations during malignant progression. Pathway analysis showed increased expression of TNNT1, TNNI1, MYL4, and ACTN3, implicating muscle development and embryonic pathways in OSMF transformation. Conversely, genes related to epithelial differentiation and keratinization (FLG, FLG2, HRNR, TCHH, KRT73), immune regulation and tumor suppression (HLA-G, UNC5D), and metabolic signaling were downregulated, reflecting loss of tissue integrity and immune control. OSMF-derived OSCC exhibits a distinct transcriptomic landscape compared with de novo OSCC, characterized by altered epithelial differentiation, immune modulation, and activation of developmental pathways. The observed gene dysregulation findings establish that OSCC developing in the background of OSMF is molecularly distinct from de novo OSCC, underscoring the biological impact of the pre-existing fibrotic milieu on tumor transcriptional architecture. - Source: PubMed
Publication date: 2026/03/10
Prasad KavithaSamudrala Venkatesiah SowmyaAugustine DominicAnand Ananya AnuragKaryala PrashanthiDasharathy SukeerthiRao Roopa SChaki Soma - Due to the difficulty in quickly discriminating bacterial pneumonia (BPs) from pneumonia caused by other pathogens in clinic, the research for new biomarkers which can specifically diagnose BPs is of great significance. Here, miRNA, proteomic, and metabolomic sequencing of 45 serum samples from BPs and 35 serum samples from non bacterial pneumonia (NBPs) were characterized. After profiling, 8 biomarkers (miR-339-3p_R-2, miR-877-5p_R+3, hnRNPK, SERPINA5, DHA, 1,3-Oxazinan-2-imine, Asparagoside_ A, and Hexanamide,N-[(1S,2R)-2-hydroxy-1-(h ydroxymethyl)heptadecyl]-6-[(7-nitro-2,1,3-benzoxadiazol-4-yl)amino]-) which owns potential to diagnose BPs were screened out. To more accurately identify BPs, six machine learning (ML) classification algorithms including logistic regression (LR), random forest (RF), support vector machine (SVM), eXtreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM) and extreme random tree (ExtraTree) were applied. Among the models, LR achieves the highest AUC value of 0.892 (95%CI: 0.723-0.992) with the sensitivity and specificity are 0.769 and 0.900, respectively. In total, this study finds 8 potential biomarkers and build a reliable diagnostic model for the BPs diagnosis. - Source: PubMed
Publication date: 2026/02/25
Hu QiaoTang ChengyaoGuo YawenLiu ChongwuWu WeiZhang JingWu ZhiliZhao PengHu MingdongChen Xiaolong - The uterus is a pivotal organ for mammalian reproduction, directly determining reproductive success by orchestrating embryo implantation, placental development, fetal nourishment, and parturition. However, the molecular mechanisms regulating high fecundity in the uterus across different stages of the estrous cycle remain unclear. This study aimed to elucidate the genetic regulation of goat fecundity through integrated proteomic and transcriptomic analyses of uterine tissues. - Source: PubMed
Publication date: 2026/02/21
Zou DongbinDu XiaolongLiu YufangFang MeiyingChu Mingxing