GOAT Chitinase-3-like Protein 1(YKL-40-CHI3L1)ELISA Kit
- Known as:
- GOAT Chitinase-3-like Protein 1(YKL-40-CHI3L1)Enzyme-linked immunosorbent assay test Kit
- Catalog number:
- YHB0004GO
- Product Quantity:
- 96T
- Category:
- Elisa Kits
- Supplier:
- yehua
- Gene target:
- GOAT Chitinase-3-like Protein 1(YKL-40-CHI3L1)ELISA Kit
Related genes to: GOAT Chitinase-3-like Protein 1(YKL-40-CHI3L1)ELISA Kit
- Gene:
- MBOAT4 NIH gene
- Name:
- membrane bound O-acyltransferase domain containing 4
- Previous symbol:
- OACT4
- Synonyms:
- FKSG89, GOAT
- Chromosome:
- 8p12
- Locus Type:
- gene with protein product
- Date approved:
- 2005-09-27
- Date modifiied:
- 2015-08-25
Related products to: GOAT Chitinase-3-like Protein 1(YKL-40-CHI3L1)ELISA Kit
Related articles to: GOAT Chitinase-3-like Protein 1(YKL-40-CHI3L1)ELISA Kit
- Radiosensitivity differs in humans and possibly in closely related nonhuman primates. The reasons for variation in radiosensitivity are not well known. In an earlier study, we examined gene expression (GE) pre-radiation in peripheral blood among male (n = 62) and female (n = 60) rhesus macaques (n = 122), which did or did not survive (up to 60 days) after whole-body exposure of 7.0 Gy (LD66/60). Eight genes (CHD5, CHI3L1, DYSF, EPX, IGF2BP1, LCN2, MBOAT4, SLC22A4) revealed significant associations with survival. Access to a second rhesus macaque cohort (males = 40, females = 23, total n = 63) irradiated with 5.8-7.2 Gy (LD29-50/60) and some treated with gamma-tocotrienol (GT3, a radiation countermeasure) allowed us to validate these gene expression changes independently. Total RNA was isolated from whole blood samples and examined by quantitative RT-PCR on a 96-well format. cycle threshold (Ct)-values normalized to 18S rRNA were analyzed for their association with survival. Regardless of the species-specific TaqMan assay, similar results were obtained. Two genes (CHD5 and CHI3L1) out of eight revealed a significant association with survival in the second cohort, while only CHD5 (involved in DNA damage response and proliferation control) showed mean gene expression changes in the same direction for both cohorts. No expected association of CHD5 GE with dose, treatment, or sex could be established. Instead, we observed significant associations for those comparisons comprising pre-exposure samples with CHD5 Ct values ≤ 11 (total n = 17). CHD5 Ct values ≤ 11 in these comparisons were mainly associated with increased frequencies (61-100%) of non-survivors, a trend which depending on the sample numbers, reached significance (P = 0.03) in males and, accordingly, in females. This was also reflected by a logistic regression model including all available samples from both cohorts comprising CHD5 measurements (n = 104, odds ratio 1.38, 95% CI 1.07-1.79, P = 0.01). However, this association was driven by males (odds ratio 1.62, 95% CI 1.10-2.38, P = 0.01) and CHD5 Ct values ≤ 11 since removing low CHD5 Ct values from this model, converted to insignificance (P = 0.19). A second male subcohort comprising high CHD5 Ct values ≥ 14.4 in both cohorts (n = 5) appeared associated with survival. Removing these high CHD5 Ct values converted the model borderline significant (P = 0.051). Based on the probability function of the receiver operating characteristics (ROC) curves, 8 (12.3%) and 5 (7.7%) from 65 pre-exposure RNA measurements in males, death and survival could be predicted with a negative and positive predictive value ranging between 85-100%. An associated odds ratio reflected a 62% elevated risk for dying or surviving per unit change (Ct-value) in gene expression, considering the before-mentioned CHD5 thresholds in RNA copy numbers. In conclusion, we identified two subsets of male animals characterized by increased (Ct values ≤ 11) and decreased (Ct values ≥ 14.4) CHD5 GE copy numbers before radiation exposure, which independently of the cohort, radiation exposure or treatment appeared to predict the death or survival in males. - Source: PubMed
Schwanke DFatanmi O OWise S YOstheim PSchüle SKaletka GStewart SWiegel TSingh V KPort MAbend M - Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes. A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: "Some College" (yes/no, for any education beyond high school) and "Graduated College" (yes/no, for completing a 4-year college degree). Genome-wide significant ( < 5 × 10) and suggestive ( < 1 × 10) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals). In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (), brain (), and liver () biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue. Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects. - Source: PubMed
Publication date: 2023/11/02
de Las Fuentes LisaSchwander Karen LBrown Michael RBentley Amy RWinkler Thomas WSung Yun JuMunroe Patricia BMiller Clint LAschard HugoAslibekyan StellaBartz Traci MBielak Lawrence FChai Jin FangCheng Ching-YuDorajoo RajkumarFeitosa Mary FGuo XiuqingHartwig Fernando PHorimoto AndreaKolčić IvanaLim EliseLiu YongmeiManning Alisa KMarten JonathanMusani Solomon KNoordam RaymondPadmanabhan SandoshRankinen TuomoRichard Melissa ARidker Paul MSmith Albert VVojinovic DinaZonderman Alan BAlver MarisBoissel MathildeChristensen KaareFreedman Barry IGao ChuanGiulianini FrancoHarris Sarah EHe MeianHsu Fang-ChiKühnel BrigitteLaguzzi FedericaLi XiaoyinLyytikäinen Leo-PekkaNolte Ilja MPoveda AlaitzRauramaa RainerRiaz MuhammadRobino AntoniettaSofer TamarTakeuchi FumihikoTayo Bamidele Ovan der Most Peter JVerweij NiekWare Erin BWeiss StefanWen WanqingYanek Lisa RZhan YiqiangAmin NajafArking Dan EBallantyne ChristieBoerwinkle EricBrody Jennifer ABroeckel UlrichCampbell ArchieCanouil MickaëlChai XiaoranChen Yii-Der IdaChen XuChitrala Kumaraswamy NaiduConcas Maria Pinade Faire Ulfde Mutsert Renéede Silva H Janakade Vries Paul SDo AhnFaul Jessica DFisher VirginiaFloyd James SForrester TerrenceFriedlander YechielGirotto GiorgiaGu C CharlesHallmans GöranHeikkinen SamiHeng Chew-KiatHomuth GeorgHunt StevenIkram M ArfanJacobs David RKavousi MaryamKhor Chiea ChuenKilpeläinen Tuomas OKoh Woon-PuayKomulainen PirjoLangefeld Carl DLiang JingjingLiu KiangLiu JianjunLohman KurtMägi ReedikManichaikul Ani WMcKenzie Colin AMeitinger ThomasMilaneschi YuriNauck MatthiasNelson Christopher PO'Connell Jeffrey RPalmer Nicholette DPereira Alexandre CPerls ThomasPeters AnnettePolašek OzrenRaitakari Olli TRice KennethRice Treva KRich Stephen SSabanayagam CharumathiSchreiner Pamela JShu Xiao-OuSidney StephenSims MarioSmith Jennifer AStarr John MStrauch KonstantinTai E ShyongTaylor Kent DTsai Michael YUitterlinden André Gvan Heemst DianaWaldenberger MelanieWang Ya-XingWei Wen-BinWilson GregoryXuan DengYao JieYu CaizhengYuan Jian-MinZhao WeiBecker Diane MBonnefond AmélieBowden Donald WCooper Richard SDeary Ian JDivers JasminEsko TõnuFranks Paul WFroguel PhilippeGieger ChristianJonas Jost BKato NorihiroLakka Timo ALeander KarinLehtimäki TerhoMagnusson Patrik K ENorth Kari ENtalla IoannaPenninx BrendaSamani Nilesh JSnieder HaroldSpedicati Beatricevan der Harst PimVölzke HenryWagenknecht Lynne EWeir David RWojczynski Mary KWu TangchunZheng WeiZhu XiaofengBouchard ClaudeChasman Daniel IEvans Michele KFox Ervin RGudnason VilmundurHayward CarolineHorta Bernardo LKardia Sharon L RKrieger Jose EduardoMook-Kanamori Dennis OPeyser Patricia AProvince Michael MPsaty Bruce MRudan IgorSim XuelingSmith Blair Hvan Dam Rob Mvan Duijn Cornelia MWong Tien YinArnett Donna KRao Dabeeru CGauderman JamesLiu Ching-TiMorrison Alanna CRotter Jerome IFornage Myriam - Membrane Bound O-Acyltransferase Domain-Containing 4 (MBOAT4) protein catalyzes ghrelin acylation, leading to prominent ghrelin activity, hence characterizing its role as an anti-obesity target. We extracted 625 exonic SNPs from the ENSEMBL database and one phenotype-based missense mutation associated with obesity (A46T) from the HGMD (Human Gene Mutation Database). These were differentiated on deleterious missense SNPs of the gene through MAF (minor allele frequency: <0.01) cut-off criteria in relation to some bioinformatics-based supervised machine learning tools. We found 8 rare-coding and harmful missense SNPs. The consensus classifier () tool predicted that the SNP (G57S, C: rs561065025) was the most pathogenic. Several trained algorithms have predicted decreased protein stability [ΔΔG (kcal/mol)] function in the presence of these rare-coding pathogenic mutations in the gene. Then, a stereochemical quality check (i.e. validation and assessment) of the 3D model was performed, followed by a blind cavity docking approach, used to search for druggable cavities and molecular interactions with citrus flavonoids of the family, ranked with energetic estimations. Significant interactions with were also observed at R304, W306, N307, A311, L314 and H338 with (iGEMDOCK: -95.82 kcal/mol and AutoDock: -7.80 kcal/mol). The RMSD values and other variables of MD simulation analyses on this protein further validated its significant interactions with the above flavonoids. The gene and its molecular interactions could serve as an interventional future anti-obesity target. The current study's findings will benefit future prospects for large population-based studies and drug development, particularly for generating personalized medicine.Communicated by Ramaswamy H. Sarma. - Source: PubMed
Publication date: 2023/11/03
Azmi Muhammad BilalSehgal Sheikh ArslanAsif UzmaMusani SarahAbedin Mariam Farhan EssaSuri AzeemaAhmed Syed Danish HaseenQureshi Shamim Akhtar - Despite playing a key role in digestion, there is only a broad characterization of the spatiotemporal development of the three glandular regions of the stomach (cardiac, fundic and pyloric) in the weaned pig. Hence, the objective of this experiment was to explore the differential expression (DE) of a panel of key genes within the three glandular regions of the stomach. Eight pigs were sacrificed at d 8 post-weaning, and three mucosal samples were collected from each stomach's glandular regions. The expression of a panel of genes were measured using QPCR. The true cardiac gland region was characterized by increased expression of , , and relative to the two other regions ( < 0.05). The fundic gland region was characterized by increased expression of , C, , , , , , , , and compared to the two other regions ( < 0.05). The pyloric gland region was characterized by exclusive expression of ( < 0.05). A transition region between the cardiac and fundic region (cardiac-to-oxyntic transition) was observed with a gene expression signature that resembles a cross of the signatures found in the two regions. In conclusion, unique gene expression signatures were identifiable in each of the glandular regions, with a cardiac-to-oxyntic transition region clearly identifiable in the post-weaned pigs' stomachs. - Source: PubMed
Publication date: 2023/07/20
Kiernan Dillon PO'Doherty John VConnolly Kathryn RuthRyan MarionSweeney Torres - Obesity is a complex disease associated with multiple concurrent complications, and the coordinated targeting of multiple pathways in pharmacological treatment may improve weight loss outcomes. During synthesis, ghrelin is converted from the 'inactive' unacylated ghrelin (UAG) to the active acylated ghrelin (AG) by the enzyme ghrelin-O-acyltransferase (GOAT), stimulating appetite and food intake. - Source: PubMed
Publication date: 2023/03/22
Bianzano SusannaHenrich AndreaHerich LenaKalsch BrigitteSarubbi DonaldSeitz FriedeborgForst Thomas