Ask about this productRelated genes to: TUBA1C Blocking Peptide
- Gene:
- TUBA1C NIH gene
- Name:
- tubulin alpha 1c
- Previous symbol:
- TUBA6
- Synonyms:
- MGC14580, MGC10851, bcm948
- Chromosome:
- 12q13.12
- Locus Type:
- gene with protein product
- Date approved:
- 2005-11-02
- Date modifiied:
- 2015-12-11
Related products to: TUBA1C Blocking Peptide
Related articles to: TUBA1C Blocking Peptide
- Resistance to bevacizumab (Bev) remains a major challenge in the management of glioblastoma multiforme (GBM). Our previous work indicated that BMAL1 participates in lactate metabolism in GBM and may be involved in the mechanisms underlying Bev resistance. However, the specific roles of BMAL1 and lactate in this process require further investigation. - Source: PubMed
Publication date: 2026/04/17
Wang FanLiao WenjunLi CaiyanDuan RuiChen Lvan - (CT) infection is one of the most prevalent sexually transmitted infections (STIs) worldwide and has been consistently associated with adverse reproductive outcomes, including female infertility. However, the molecular mechanisms underlying this association remain incompletely understood. This study aimed to investigate whether genes previously associated with female infertility display altered expression patterns in response to CT infection by reanalyzing publicly available transcriptomic data derived from a human in vitro infection model. : An integrative in silico approach was employed. A curated list of 106 genes associated with female infertility was compiled from publicly available databases and integrated with transcriptomic data from the Gene Expression Omnibus (GEO) dataset GSE109428, which profiles primary human fallopian tube mesenchymal cells infected in vitro with CT serovar L2. Gene expression changes were evaluated at two time points (24 and 48 h post-infection) by comparing infected cells with uninfected control samples, followed by functional and phenotype enrichment analyses. : One female infertility-associated gene () was consistently dysregulated at both 24 and 48 h post-infection. In addition, fourteen genes (, , , , , , , , , , , , , and ) became significantly dysregulated exclusively at 48 h post-infection, indicating a time-dependent host transcriptional response to CT infection. Functional and phenotype enrichment analyses revealed associations with biological processes related to embryonic development and meiosis, as well as phenotypes linked to female infertility. These enriched terms were supported by a small subset of genes and were therefore interpreted cautiously. Overall, these findings suggest that CT infection modulates the expression of several infertility-associated genes and may influence biological pathways critical for female reproductive function. While exploratory, this study provides a molecular context that aligns with previously reported associations between CT infection and female infertility. - Source: PubMed
Publication date: 2026/03/01
Rodrigues RafaelaSousa CarlosVale Nuno - Sharp declines in temperature pose a significant risk for mass mortality events in the Chinese soft-shelled turtle (). To assess the effects of acute cold stress on intestinal health, turtles were exposed to temperatures of 28 °C (control), 14 °C, and 7 °C for 1, 2, 4, 8, and 16 days. The results showed that acute cold stress at 14 °C and 7 °C induced time-dependent alterations in intestinal morphology and histopathology. The damage was more severe at 7 °C, characterized by inflammatory cell infiltration, lymphoid hyperplasia, and extensive detachment and necrosis across the villi, muscle layer, and submucosa. 16S rDNA sequencing revealed significant shifts in intestinal microbiota composition in the 7 °C group, dominated by and . Transcriptomic analysis identified differentially expressed genes (DEGs) that respond to acute cold stress and are involved in the Toll-like receptor signaling pathway (, , , and ), the NOD-like receptor signaling pathway (, , , , , , and ), apoptosis (, , , , , , , , , , and ), and the p53 signaling pathway (, , , , , , , and ). Metabolomic profiling highlighted differentially expressed metabolites (DEMs) that cope with acute cold stress, such as organic acids (oxoglutaric acid, L-aspartic acid, fumaric acid, DL-malic acid, and citric acid) and amino acids (including L-lysine, L-homoserine, and allysine). The integrated analysis of DEGs and DEMs underscored three key pathways modulated by acute cold stress: linoleic acid metabolism, neuroactive ligand-receptor interaction, and the FoxO signaling pathway. This study provides a comprehensive evaluation of intestinal health in Chinese soft-shelled turtles under acute cold stress and elucidates the underlying mechanisms. - Source: PubMed
Publication date: 2026/01/14
Ma XiaonaShi QingDong ZhenChen ChenZhu JunxianLiu XiaoliHong XiaoyouWei ChengqingZhu XinpingSong WeijiaLi WeiJi Liqin - Tubulin α-1C chain (TUBA1C) is an α-tubulin isoform integral to the cytoskeletal microtubule network, maintaining cell shape, mechanical integrity, and intracellular transport. This review synthesises evidence from transcriptomic, functional, and clinical studies to present a unifying framework that positions TUBA1C as a signalling hub in cancer. Computational and experimental data demonstrate that TUBA1C is consistently overexpressed across multiple malignancies, including lung, glioma, gastric, colorectal, breast, renal, liver, pancreatic, and bladder cancers. Elevated TUBA1C expression correlates with advanced tumour stage, metastasis, chemoresistance, and poor patient survival, highlighting its active role in carcinogenesis beyond structural functions. Functional studies confirm that TUBA1C promotes cell-cycle progression via cyclin-CDK networks and EGFR-PI3K-AKT signalling, suppresses apoptosis through modulation of Bcl-2 family proteins and circTUBA1C-miR-143-3p interactions, and facilitates immune evasion by shaping an immunosuppressive tumour microenvironment. Moreover, TUBA1C enhances invasion and metastasis through PI3K-AKT and YAP pathways and drives metabolic reprogramming by linking cytoskeletal dynamics to YAP stabilisation and increased glycolytic flux. Collectively, these findings position TUBA1C as a central integrator of cytoskeletal organisation and oncogenic signalling. Recognising TUBA1C as a pan-cancer driver highlights its potential as a prognostic biomarker and therapeutic target, with implications for disrupting oncogenic circuits and improving precision oncology strategies. - Source: PubMed
Publication date: 2026/01/12
Amran Nazirah - Colon cancer (CC) stands as one of the most prevalent malignant neoplasms worldwide. Despite extensive investigations on the function of T cells in antitumor immunity and dynamics of tumor microenvironment (TME), their precise molecular contributions to the CC progression remain incompletely characterized. Differential gene expression analysis was implemented leveraging TCGA-COAD transcriptomic data, followed by the identification of T cell signature genes using single-cell RNA sequencing (scRNA-seq) dataset. Through intersectional analysis and subsequent prognosis-related gene screening using least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox proportional hazards models, a prognostic model was established. Moreover, its performance was evaluated via receiver operating characteristic (ROC) curves. Participants were split into high-risk and low-risk cohorts based on risk scores, to explore potential immunological differences between groups. A prognostic model was developed based on seven genes, encompassing UBE2N, TUBA1C, FXR1, CBLB, YTHDC1, GPRIN3, and AGPAT2. The area under the ROC curve (AUC) for the training cohort at 3, 5, and 7 years reached 0.676, 0.715, and 0.721, respectively. External validation using three GEO datasets demonstrated consistent predictive performance of the model. The AUC values at 3, 5, and 7 years were 0.632, 0.617, and 0.582 in GSE39582, 0.689, 0.755, and 0.951 in GSE17537, and 0.667, 0.653, and 0.649 in GSE161158. The identified T cell signature genes may function as potential therapeutic targets, while the developed prognostic model and nomogram may facilitate clinical decision-making for CC management. - Source: PubMed
Publication date: 2026/01/02
Wang PeijueLi Yongxiang