MRPL10 Blocking Peptide, Blocking Peptides
- Known as:
- MRPL10 Blocking Peptide, Blocking Peptides
- Catalog number:
- 33R-3847
- Product Quantity:
- 100 ug
- Category:
- -
- Supplier:
- Fitzgerald
- Gene target:
- MRPL10 Blocking Peptide Peptides
Related genes to: MRPL10 Blocking Peptide, Blocking Peptides
- Gene:
- MRPL10 NIH gene
- Name:
- mitochondrial ribosomal protein L10
- Previous symbol:
- -
- Synonyms:
- RPML8, MRP-L8, L10MT, MRP-L10, MRPL8, MGC17973
- Chromosome:
- 17q21.32
- Locus Type:
- gene with protein product
- Date approved:
- 2001-02-28
- Date modifiied:
- 2016-10-05
Related products to: MRPL10 Blocking Peptide, Blocking Peptides
Related articles to: MRPL10 Blocking Peptide, Blocking Peptides
- The dysfunction of mitochondria has been associated with the development of sepsis, but the specific mitochondrial-related genes and their roles in sepsis have not been fully elucidated. We employed Mendelian randomization and colocalization analysis to investigate the association between mitochondrial-related genes and sepsis by integrating multi-omics data. - Source: PubMed
Publication date: 2025/02/10
Sun JiaojiaoWu YaxianBurgess SmithWeng YuanWang Zhiqiang - Cell death plays an essential role in carcinogenesis, but its function in the recurrence and postoperative prognosis of head and neck cancer (HNC), which ranks as the 7 most common malignancy globally, remains unclear. - Source: PubMed
Publication date: 2024/11/07
Pan YueFei LeiWang ShihuaChen HuaJiang ChangqingLi HongWang ChangsongYang YaoZhang QinggaoChen Yongwen - Amyloid-beta (Aβ) is a pathological hallmark of Alzheimer's disease (AD). We aimed to identify genes related to Aβ uptake in the Korean population and investigate the effects of these novel genes on clinical outcomes, including neurodegeneration and cognitive impairments. We recruited a total of 759 Korean participants who underwent neuropsychological tests, brain magnetic resonance imaging, F-flutemetamol positron emission tomography, and microarray genotyping data. We performed gene-based association analysis, and also performed expression quantitative trait loci and network analysis. In genome-wide association studies, no single nucleotide polymorphism (SNP) passed the genome-wide significance threshold. In gene-based association analysis, six genes (, , , , , and ) were significantly associated with Aβ standardised uptake value ratio in the brain. The three most significant SNPs (rs4787307, rs9903904, and rs11079797) on these genes are associated with the regulation of the , , and genes, respectively. These SNPs are involved in decreasing hippocampal volume and cognitive scores by mediating Aβ uptake. The 19 enriched gene sets identified by pathway analysis included axon and chemokine activity. Our findings suggest novel susceptibility genes associated with the uptake of Aβ, which in turn leads to worse clinical outcomes. Our findings might lead to the discovery of new AD treatment targets. - Source: PubMed
Publication date: 2023/10/12
Kim Bo-HyunLee HyunWooHam HongkiKim Hee JinJang HyeminKim Jun PyoPark Yu HyunKim MansuSeo Sang Won - To identify suitable reference genes for gene expression studies in rat dorsal root ganglia (DRG) neurons. - Source: PubMed
Liu FenglanMiao YangWang YaxianShan Qianqian - We explore the candidate susceptibility genes for influenza A virus (IAV), measles, rubella, and mumps and their underlying biological mechanisms. We downloaded the genome-wide association study summary data of four virus-specific immunoglobulin G (IgG) level data sets (anti-IAV IgG, anti-measles IgG, anti-rubella IgG, and anti-mumps virus IgG levels) and integrated them with reference models of three potential tissues from the Genotype-Tissue Expression (GTEx) project, namely, whole blood, lung, and transformed fibroblast cells, to identify genes whose expression is predicted to be associated with IAV, measles, mumps, and rubella. We identified 19 significant genes (ULK4, AC010132.11, SURF1, NIPAL2, TRAP1, TAF1C, AC000078.5, RP4-639F20.1, RMDN2, ATP1B3, SRSF12, RP11-477D19.2, TFB1M, XXyac-YX65C7_A.2, TAF1C, PCGF2, and BNIP1) associated with IAV at a Bonferroni-corrected threshold of < 0.05; 14 significant genes (SOAT1, COLGALT2, AC021860.1, HCG11, METTL21B, MRPL10, GSTM4, PAQR6, RP11-617D20.1, SNX8, METTL21B, ANKRD27, CBWD2, and TSFM) associated with measles at a Bonferroni-corrected threshold of < 0.05; 15 significant genes (MTOR, LAMC1, TRIM38, U91328.21, POLR2J, SCRN2, Smpd4, UBN1, CNTROB, SCRN2, HOXB-AS1, SLC14A1, AC007566.10, AC093668.2, and CPD) associated with mumps at a Bonferroni-corrected threshold of < 0.05; and 13 significant genes (JAGN1, RRP12, RP11-452K12.7, CASP7, AP3S2, IL17RC, FAM86HP, AMACR, RRP12, PPP2R1B, C11orf1, DLAT, and TMEM117) associated with rubella at a Bonferroni-corrected threshold of < 0.05. We have identified several candidate genes for IAV, measles, mumps, and rubella in multiple tissues. Our research may further our understanding of the pathogenesis of infectious respiratory diseases. - Source: PubMed
Publication date: 2023/03/20
Zhu XiaoboZou YixinJia LinnaYe XiangyuZou YanzhengTu JunlanLi JuntongYu RongbinYang ShengHuang Peng