ATP2C2
- Known as:
- ATP2C2
- Catalog number:
- 002179A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ATP2C2
Related genes to: ATP2C2
- Gene:
- ATP2C2 NIH gene
- Name:
- ATPase secretory pathway Ca2+ transporting 2
- Previous symbol:
- -
- Synonyms:
- KIAA0703, SPCA2
- Chromosome:
- 16q24.1
- Locus Type:
- gene with protein product
- Date approved:
- 2006-10-20
- Date modifiied:
- 2016-02-10
Related products to: ATP2C2
Related articles to: ATP2C2
- The roles of mitochondrial genes in the development of thyroid cancer (TC) and the associated tumor microenvironment remain to be elucidated. Based on 64 dysregulated mitochondrial genes, unsupervised consensus clustering analysis was performed using TC datasets from The Cancer Genome Atlas and integrated gene expression databases. A dysregulated mitochondrial-based prognostic model was constructed using machine learning. Fourteen prognostic genes were identified, and the correlation between semaphorin 7A (SEMA7A) and immune cell infiltration was validated. The functions of SEMA7A were investigated through plate cloning, scratch wound healing, and Transwell invasion assays. This study constructed a prognostic model for predicting overall survival by identifying 14 mitochondrial dysregulated-based prognostic genes (APOD, ATP2C2, FAM111B, GJB4, GZMA, HHIPL2, IFIT3, IL18, MCEMP1, PRRT4, RGS16, SEMA7A, SLC2A3, and TDRD9). Its effectiveness was validated in an independent cohort. The model accurately predicted OS across cancer stages. SEMA7A expression was significantly upregulated in papillary thyroid carcinoma (PTC) tissues and PTC cell lines. Functional experiments showed that SEMA7A promoted TC progression, including cell proliferation, migration, and invasion. Compared with the SEMA7A low-expression group, the high-expression group showed a larger FOXP3+ regulatory T cell (Treg) population. Although a higher ratio of SEMA7A + CD8-positive cells/SEMA7A + FOXP3-positive cells was observed, increased Treg abundance is known to shift the immune context toward a less cytotoxic and more exhausted state. Thus, oncogenic SEMA7A in TC promotes malignant functions in TC cells and may play an important role in shaping the immunosuppressive microenvironment. Consequently, our mitochondrial dysregulation-based prognostic risk model for TC may offer good clinical application value. - Source: PubMed
Zha WeinaLi JingwuLi YufengLi HanchenYang XiaolinLiu YingWang ChenXu YiLi XingchenWang XueLiu Geling - Severe dengue (SD) represents a life-threatening progression of dengue virus infection. Early identification of patients at risk of transitioning from dengue fever (DF) to SD remains a major clinical challenge. Unraveling the transcriptomic changes underlying this progression may aid in developing timely therapeutic interventions. - Source: PubMed
Publication date: 2026/05/08
Anumulapuri SrilekhaJosyula Jhansi Venkata NagamaniPillai Agiesh Kumar BalakrishnaMutheneni Srinivasa Rao - Papillary thyroid carcinoma (PTC) is the most common thyroid malignancy, with rising incidence globally. Current prognostic markers often lack precision for individualized management. This study develops a prognostic signature based on voltage-gated ion channel (VGIC) genes and explores its relationship with the tumor metabolic microenvironment in PTC. - Source: PubMed
Publication date: 2026/03/17
Sun LinlinSun ZhenxuanGao WeiCao Yinan - The quality of hatching eggs and their hatchability are key factors affecting the production efficiency of breeding flocks. The quality of hatching eggs is commonly graded directly based on the eggshell quality. Our study monitored the eggshell quality and hatchability in Hy-Line Brown laying hens aged 23 to 73 weeks, to determine core eigenvectors that influence hatchability from multiple eggshell quality indicators. Hatching performance indicators, including fertile egg rate, hatchability of fertile eggs and hatchability of eggs set, were found to exhibit a trend of low level in early laying stage, and increased to a peak at 39 weeks of age during mid-laying stage, followed by a continuous decline in late laying stage. Similar trend also observed in eggshell quality indicators, such as eggshell strength, eggshell thickness, eggshell weight, eggshell rate and eggshell microstructure. Canonical correlation analysis revealed egg weight, equatorial eggshell thickness and pointed end eggshell thickness showed strong correlation with the main indicators affecting hatchability of fertile eggs (r = 0.987, P = 0.013). Further, shell gland RNA sequencing was applied to explore candidate genes or pathways that might affect eggshell thickness. Short time series expression miner (STEM) analysis identified several key genes (ATP2C2, CA9, CDC20B, WNT4, WNT7A and CACNB3) that were enriched in pathways related to calcium signaling, bicarbonate metabolism, vesicle transport and Wnt signaling, thereby highlighting their potential critical roles in eggshell thickness regulation. Our findings preliminarily delineate the relationship between easily measurable eggshell quality and hatchability, which provides a theoretical basis and candidate gene targets for improving hatching performance. - Source: PubMed
Publication date: 2026/01/18
Zhang ChenxiCao RanranWei SiqinWang ShuCai ZhaoShi JunlaiLei YanruWang KejunTian YadongSun GuirongKang XiangtaoLi Wenting - PTPN11 is closely associated with cancer progression. This study aimed to explore its prognostic potential in papillary thyroid carcinoma (PTC) and identify additional PTPN11-related prognostic genes, thereby providing novel insights for PTC treatment. Bulk and single-cell transcriptomic data from public databases were utilized to perform pan-cancer analysis for mining the oncogenic potential of PTPN11, accompanied by functional enrichment, immune infiltration, and drug molecular docking analyses. Univariate Cox regression and least absolute shrinkage and selection operator analyses were employed to screen prognostic genes and construct a risk model. Finally, single-cell level analysis was conducted to identify PTPN11-related key cells and their communication patterns. Pan-cancer analysis revealed that PTPN11 expression levels (high vs low) were significantly correlated with survival differences in PTC and other cancers (P < .05). PTPN11 was enriched in the ribosome and oxidative phosphorylation pathways and negatively correlated with CD56 bright natural killer cells (cor = -0.35, P < .05). It exhibited strong binding affinities with VX-11e, irinotecan, and dactinomycin. Eight prognostic genes (ATP2C2, OPRK1, CLSTN2, AGRP, MMP8, B3GNT4, KCNMB2, and DACT2) were screened out, and a robust risk model was established. Endothelial cells were identified as key cells; the occurrence of PTC reduced their quantity and affected the frequency/intensity of their interactions with mast cells. In conclusion, PTPN11 holds promise as a prognostic marker for PTC and is of great value for clinical management. - Source: PubMed
Wang HuilingLv MianHuang YonghongPan XiaomingXu ChangqiangChen ChunyuTan WuyuLao HuayeQin MinghuiZhang HuiNong GuixuanWang Yinling