ATP1B2
- Known as:
- ATP1B2
- Catalog number:
- 002166A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ATP1B2
Related genes to: ATP1B2
- Gene:
- ATP1B2 NIH gene
- Name:
- ATPase Na+/K+ transporting subunit beta 2
- Previous symbol:
- -
- Synonyms:
- AMOG
- Chromosome:
- 17p13.1
- Locus Type:
- gene with protein product
- Date approved:
- 1990-05-28
- Date modifiied:
- 2016-02-10
Related products to: ATP1B2
Related articles to: ATP1B2
- Astrocyte diversity is currently expanding both between and within specific brain regions. Here, we assessed the spatial distribution and transcriptomic profile of two hippocampal astrocyte subpopulations, defined by combinatorial expression of the cell surface astrocyte markers ACSA-1 or GLAST/SLC1A3, and ACSA-2 or ATP1B2. Fluorescence activated cell sorting and genome-wide transcriptomics by bulk RNAseq uncovered distinct transcriptional signatures of the two astrocyte subsets and highlighted heterogeneous responses during aging. The most abundant ATP1B2/GLAST double-positive astrocytes corresponded to functionally specialized glial cells with increased protein glycosylation and stable gene expression patterns. Signatures related to mitochondrial respiration and cholesterol metabolism were induced during aging in ATP1B2 single-positive astrocytes, while cell adhesion genes from the γ-protocadherin cluster were repressed in double-positive astrocytes. Heterochronic co-culture assays with primary neurons show the loss of synaptogenic function of old ATP1B2/GLAST astrocytes. Our results complement previous studies demonstrating the presence of morphological and molecular astrocyte heterogeneity within the hippocampus, and uncover differences among astrocyte subsets in their transcriptomic response to aging. - Source: PubMed
Casares-Crespo LucíaCano-Jaimez MarifeAnta RaquelRipollés-Boix AlbaRobledo-Yagüe FabiánZúñiga-Trejos SheilaMira Helena - Pesticides are major environmental pollutants, and the swim bladder is highly sensitive to chemical stressors. However, the effects of spirodiclofen on swim bladder and the underlying mechanisms remain poorly understood despite its widespread environmental detection. In this study, zebrafish embroys were exposed to spirodiclofen to evaluate its impacts on the swim bladder. At 120 hpf, complete failure of swim bladder inflation was observed in the 0.146 mg/L and 0.300 mg/L treatment groups. Swim bladder area decreased by 40.3% and 52.8% (p < 0.01), and locomotor activity was markedly impaired, with total distance reduced by 87.4% and 95.5%, respectively (p < 0.01). RT-qPCR analysis revealed downregulate genes in Hedgehog and Wnt signaling pathways, as well as key developmental markers of swim bladder formation. Spirodiclofen also disrupted the prolactin pathway and significantly reduce Na⁺/K⁺-ATPase activity (p < 0.05), suggesting impaired ion regulation during inflation. Integrative GGE biplot analysis, molecular docking, and molecular dynamics simulations identified Wnt5b, Atp1b2, and Elovl1a as potential toxicity targets. Environmental monitoring further revealed that the risk quotients (RQ)> 1 at most sampling sites, underscoring the ecological relevance of these findings. Overall, this study provides mechanistic evidence for spirodiclofen-induced swim bladder toxicity and supports ecological risk assessment and the design of safer alternatives. - Source: PubMed
Publication date: 2026/07/30
Suo LiangHaoYang XuJiangSu XiaoTingWang YuDong LiWang QingYaWu JingZhang JieFan YongMei - The expression patterns of key membrane pumps and ion channels involved in endolymph cycling have been studied in the rodent inner ear and the developing and adult human cochlea. However, little is known about their expression during the development of the human vestibular system. In this study, we provide a comprehensive overview of expression profiles of ion pumps, cotransporters, and exchangers in the developing human utricle and ampullae from fetal week (FW) 8 to 17. Immunohistochemistry analysis revealed that ATP1A1 and ATP1B2 co-localize at the basolateral membranes of dark cells. In addition, BSND expression was observed in transitional cells and dark cells in both the ampulla and utricle from FW10. We further characterized the expression of gap junction proteins (GJA1, GJB2, and GJB6) and found that KCNQ1 was expressed by transitional cells and dark cells starting from FW14. SLC12A2 immunostaining was detected in dark cells around FW10. Lastly, we investigated the spatiotemporal expression of pendrin. These detailed observations of protein expression during human inner ear development enhance our understanding of endolymph homeostasis. - Source: PubMed
van Beelen Edward S Avan der Valk Wouter Hde Groot John C M Jvan Benthem Peter Paul GLocher Heiko - Gastric cancer (GC) remains a major cause of cancer related mortality worldwide. Tumor mechanics, reflecting the physical and mechanical properties that influence tumor cell behavior and the tumor microenvironment (TME), play important roles in cancer progression. However, the prognostic relevance of tumor mechanics-related genes (MRGs) in GC remains unclear. - Source: PubMed
Publication date: 2025/12/18
Sun MinzhiLiu QingXu Aman - BACKGROUNDAccurate prognostic assays for COVID-19 represent an unmet clinical need. We sought to identify and validate early parsimonious transcriptomic signatures that accurately predict fatal outcomes.METHODSWe studied 894 patients enrolled in the prospective, multicenter Immunophenotyping Assessment in a COVID-19 Cohort (IMPACC) with peripheral blood mononuclear cells (PBMC) and nasal swabs collected within 48 hours of admission. Host gene expression was measured with RNA-Seq. We trained parsimonious prognostic classifiers incorporating host gene expression, age, and SARS-CoV-2 viral load to predict 28-day mortality in 70% of the cohort. Classifier performance was determined in the remaining 30% and externally validated in a contemporary COVID-19 cohort (n = 137) with vaccinated patients.RESULTSFatal COVID-19 was characterized by 4,189 differentially expressed genes in the peripheral blood. A COVID-specific 3-gene peripheral blood classifier (CD83, ATP1B2, DAAM2) combined with age and SARS-CoV-2 viral load achieved an area under the receiver operating characteristic curve (AUC) of 0.88 (95% CI, 0.82-0.94). A 3-gene nasal classifier (SLC5A5, CD200R1, FCER1A), in comparison, yielded an AUC of 0.74 (95% CI, 0.64-0.83). Notably, OLAH, the most strongly upregulated gene in both PBMC and nasal swab and recently implicated in severe viral infection pathogenesis, yielded AUCs of 0.86 (0.79-0.93) and 0.78 (95% CI, 0.69-0.86), respectively. Both peripheral blood classifiers demonstrated comparable performance in an independent contemporary cohort of vaccinated patients (AUCs 0.74-0.80).CONCLUSIONOur parsimonious blood- and nasal-based classifiers accurately predicted COVID-19 mortality and merit further study as accessible prognostic tools to guide triage, resource allocation, and early therapeutic interventions.FUNDINGNIH: 5R01AI135803-03, R35HL140026, 5U19AI118608-04, 5U19AI128910-04, 4U19AI090023-11, 4U19AI118610-06, R01AI145835-01A1S1, 5U19AI062629-17, 5U19AI057229-17, 5U19AI125357-05, 5U19AI128913-03, 3U19AI077439-13, 5U54AI142766-03, 5R01AI104870-07, 3U19AI089992-09, 3U19AI128913-03, 5T32DA018926-18, and K0826161611. National Institute of Allergy and Infectious Diseases, NIH: 3U19AI1289130, U19AI128913-04S1, and R01AI122220. National Center for Advancing Translational Sciences, NIH: UM1TR004528. The National Science Foundation: DMS2310836. The Chan Zuckerberg Biohub San Francisco. - Source: PubMed
Publication date: 2025/11/10
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