Ask about this productRelated genes to: MOGS antibody
- Gene:
- MOGS NIH gene
- Name:
- mannosyl-oligosaccharide glucosidase
- Previous symbol:
- -
- Synonyms:
- GCS1, CWH41, DER7
- Chromosome:
- 2p13.1
- Locus Type:
- gene with protein product
- Date approved:
- 2009-03-24
- Date modifiied:
- 2019-04-23
Related products to: MOGS antibody
Related articles to: MOGS antibody
- Total elimination of replication-competent human immunodeficiency virus type 1 (HIV-1) remains a major clinical challenge, in part due to random integration of the proviral DNA into host cell chromosomes, which enables lifelong persistence and production of progeny. Although antiretroviral therapies (ARTs) suppress viral replication, they cannot eliminate integrated proviral DNA, which remains a fundamental obstacle to achieving a cure. To overcome this problem, we developed a combinatorial clustered regularly interspaced short palindromic repeats-Cas9 gene editing strategy to disrupt viral replication and inactivate host factors essential for HIV-1 entry and spread. This approach targets C-C chemokine receptor type 5 (CCR5), a chemokine receptor central to HIV-1 host cell entry, and mannosyl-oligosaccharide glucosidase (MOGS), a key enzyme in glycoprotein processing that modifies the HIV-1 envelope glycoprotein gp120, facilitating receptor engagement, viral entry, and morphogenesis of infectious virion. We demonstrate that our strategy, which includes editing of the integrated proviral DNA, in concert with two cellular genes whose products facilitate viral entry, results in robust suppression of viral replication and in -infected cells. Using transmission electron microscopy, HIV-1 p24 ELISA, and GFP-based viral infection assays, we show that the combination knockout of CCR5, MOGS, and viral sequences profoundly reduces HIV-1 replication in an cellular model, that is, HIV-1-infected peripheral blood mononuclear human cells, thus offering a pathway to launch further preclinical studies. - Source: PubMed
Publication date: 2026/08/23
Safaei ZahraBellizzi AnnaLiu HongHuang YuruSariyer Ilker KKhalili Kamel - Congenital disorders of glycosylation (CDGs) are rare metabolic diseases characterized by clinical heterogeneity, yet the molecular basis for their tissue-specific manifestations remains poorly understood. Because affected tissues are rarely accessible for biopsy, the baseline transcriptional and regulatory landscape of CDG-causative genes in healthy human tissues offers a valuable, complementary perspective on tissue vulnerability. Here, we performed an in silico study of the expression, allelic regulation, expression quantitative trait loci (eQTLs), and associations with immune cell compositions of 12 CDG-causative genes across healthy human tissues using multi-omics datasets from the Adult GTEx project. The selected panel includes the most prevalent multisystem CDGs (PMM2-, ALG6-, ALG1-, SLC35A2-, ALG13-, SRD5A3-, MAN1B1-, DPAGT1-CDG), three immune-relevant CDGs classified as inborn errors of immunity (MOGS-, PGM3-, VPS13B-CDG), and the autosomal recessive form of GNE-CDG (GNE-CDG (ar); GNE myopathy) as a tissue-restricted contrast. CDG-causative genes were broadly but heterogeneously expressed, with substantial inter-individual variation. Tissues frequently affected in the corresponding disorders did not consistently display the highest baseline gene expression, underscoring that higher gene expression alone is a poor indicator of tissue susceptibility. Allele-specific analyses revealed five distinct allelic expression patterns across individuals and identified tissue-specific deviations from balanced biallelic expression for several genes, most notably , , , and . Tissue-specific eQTLs affecting CDG genes were frequently located in intronic enhancers of unrelated genes or intergenic regions, revealing a complex, predominantly distal regulatory architecture. Several eQTLs overlapped GWAS Catalog traits and ClinVar entries relevant to the corresponding CDG phenotypes, including PMM2 eQTLs associated with reduced gene levels. Finally, correlations between CDG-causative gene expression and immune cell composition recapitulated known immune phenotypes from blood and suggested additional tissue-dependent roles for glycosylation in immune modulation, that warrant functional validation. Together, these findings demonstrate that CDG-causative genes operate within diverse transcriptional, allelic, and regulatory contexts across human tissues. Our in silico framework provides an interpretable candidates and foundational reference for interpreting tissue vulnerability in CDG and underscore the need for global analyses to fully understand organ-specific disease mechanisms. - Source: PubMed
Publication date: 2026/07/08
Neves Cátia JGomes AntónioLourenço Rita ABarbosa MarianaGrosso Ana RVideira Paula A - During explicit sequence learning (ESL), micro-offline gains (MOGS) occur during brief rest periods. MOGS are calculated as the difference in sequence speed between the first correct sequence of one trial and the last sequence of the preceding trial. To date, all studies evaluating MOGS have calculated sequence speed from the execution time that occurs between keypresses, but this approach ignores potential contributions from motor preparation that occur before the first keypress. Given that ESL relies on both premovement motor planning and subsequent motor execution, we hypothesized that ignoring motor preparation time neglects a critical component of skill acquisition, potentially misrepresenting the true magnitude of MOGS. To test this, we calculated MOGS with and without preparation time in 30 adults who performed an ESL task. The dataset used for this analysis was obtained as part of a larger study to evaluate the effects of pretrial temporal predictability on ESL performance and learning by controlling the predictability of trial onset. Our results show that including preparation time flipped MOGS from positive to negative and significantly increased the positive correlation between early learning and a gold-standard ESL metric: the number of correct sequences performed. Our results suggest that preparation time should be incorporated into MOGS calculations and that excluding it overestimates micro-offline learning. Current standards quantify micro-offline gains in terms of execution speed, entirely ignoring motor preparation time. If these gains reflect true learning, they should persist when accounting for premotor planning. Our results demonstrate a striking reversal: integrating motor preparation time completely flips micro-offline gains to micro-offline losses. Furthermore, by correcting this methodological artifact, our study provides a behaviorally validated, necessary framework for future studies investigating micro-offline gains. - Source: PubMed
Publication date: 2026/07/16
Ahmed Nafiz IshtiaqueSuresh TharanHussain Sara JFreedberg Michael - Flexible X-ray imaging technology requires scintillators that combine excellent flexibility and high stability. Although traditional inorganic scintillators offer good performance, their brittleness and demanding synthesis conditions limit their applications. In this work, a series of lanthanide-based metal-organic gels (Ln-MOGs, Ln = Tb, Eu), named Ln-CPTPY, was prepared through a facile one-pot method at room temperature. Through adjusting molar ratio of Tb and Eu ions, we achieved tunable emission color from green to red in both photoluminescence and X-ray excited luminescence modes. Upon X-ray irradiation, Ln-MOGs displayed a linear response to X-ray dose rates and good irradiation stability. Notably, the nanoscale MOGs powders were readily dispersed in polydimethylsiloxane without pre-treatment, producing uniform flexible scintillator membranes. These membranes enabled high-resolution X-ray imaging of complex objects, achieving a spatial resolution of approximately 14 lp mm, while their flexibility supported multi-dimensional radio-imaging that displayed the internal structure of flexible devices. This study demonstrates the good potential of Ln-MOGs as multifunctional materials in advanced radio-imaging applications. - Source: PubMed
Publication date: 2026/06/30
Shan RongGuo JianweiCao JiayingYang ZongqiFang XianfengGuo HaiLi Hongjun - Okadaic acid (OA), a potent diarrhetic shellfish toxin produced by marine dinoflagellates, accumulates in shellfish and poses a significant threat to human health by causing severe gastrointestinal illness. Consequently, the highly sensitive detection of OA is of crucial importance. In this study, an electrochemiluminescence (ECL) biosensor for OA detection was developed based on a Tb(Ⅲ)-Cbatpy-MOGs complex and a nucleic acid amplification strategy. The sensor integrates a cyclic DNA walker with the enzymatic assistance of Exonuclease III for accurate target quantification. The ECL intensity showed a strong linear relationship with the logarithm of OA concentration over a wide range, achieving a detection limit as low as 0.16 pg/mL, attesting to its high sensitivity. Furthermore, the biosensor exhibited excellent selectivity, reproducibility and stability, confirming its reliability for practical applications. This work provides a robust and highly sensitive method for OA detection and holds great promise for the practical monitoring of marine toxins. - Source: PubMed
Publication date: 2026/06/06
Shi ShupingZhang YanDu YuZhao ChuanshengZhang NanYu ZhenJia YueWei Qin