Ask about this productRelated genes to: SLC27A6 antibody
- Gene:
- SLC27A6 NIH gene
- Name:
- solute carrier family 27 member 6
- Previous symbol:
- -
- Synonyms:
- FATP6, VLCS-H1, FACVL2, ACSVL2
- Chromosome:
- 5q23.3
- Locus Type:
- gene with protein product
- Date approved:
- 1999-08-20
- Date modifiied:
- 2016-02-17
Related products to: SLC27A6 antibody
Related articles to: SLC27A6 antibody
- To investigate the associations between genes involved in fatty acid composition and volatile flavor compounds (VOCs), Dabieshan (DBS) cattle were selected and stratified into high (H: 0.018-0.024 g) and low (L: 0.007-0.012 g) groups according to the fatty acid content in the longissimus dorsi (LD). Integrated analysis using two-dimensional gas chromatography-time-of-flight mass spectrometry (GC×GC-TOF-MS) and transcriptomics systematically revealed differences in VOCs and gene expression profiles, along with their associations with fatty acid composition. The relative contents of aldehydes, esters, and hydrocarbons were significantly higher in the group H, whereas the group L exhibited elevated levels of alcohols, acids, and heterocyclic compounds. Among 54 differentially abundant VOCs identified, (E)-2-Nonenal (ROAV = 100) was established as the key flavor contributor. Transcriptomic analysis identified 678 differentially expressed genes (DEGs), with eight candidate genes implicated in fatty acid composition pinpointed through GO and KEGG enrichment analyses. Further correlation analysis showed that the expression levels of SGPL1, KLF15 and SLC27A6 were significantly correlated with the contents of polyunsaturated fatty acids (C22:5n-3, C18:3n-3, C18:2n-6, C18:1n-9c). There was also a significant correlation between the above fatty acids and characteristic flavor compounds including 3-Hexanone, (E)-2-Nonenal, (E,E)-2,4-Octadienal and Butanal. This study suggested potential links among fatty acid composition, key genes and characteristic flavor compounds in Dabieshan cattle, providing new insights into the genetic improvement of flavor quality of local cattle breeds. - Source: PubMed
Publication date: 2026/04/19
Zhang LiuLi QianJin HaiZhao ShuanpingZhang HuibinDu XinyiLi QinggangXu Lei - This study aimed to determine whether fatty acids (FAs) may affect the function of the early porcine placenta. First, the expression of FA transporters (CD36, SLC27A) in conceptuses and placentae of days 10-11, 12-13, 15-16, 18-20, 25, and 30 pregnant gilts (n = 5-8 per group) was examined using Real-time PCR, Western blot, and immunohistochemistry. Then, primary trophoblast (pTr) cells from days 15-16 conceptuses were exposed to n-6 and n-3 polyunsaturated FAs (PUFAs) to study prostaglandin (PG) synthesis and the expression of genes related to FA action, angiogenesis, steroidogenesis, and lipid transport. Furthermore, pTr cell proliferation and adhesion in response to PUFAs were determined colorimetrically. Increased mRNA expression of CD36, SLC27A1, and SLC27A2 was detected in days 18-25 placentae compared with days 10-13 conceptuses. SLC27A4 and SLC27A6 expression was greater in days 10-11 spherical than in days 15-16 elongated conceptuses. SLC27A1, SLC27A4, and SLC27A6 were localized at the placenta-endometrium interface. PUFAs of n-6 series elevated PGE2 and PGI2 synthesis, whereas n-3 PUFAs stimulated PGE2 but inhibited PGI2 output. All PUFAs up-regulated the mRNA expression of CPT1A, a rate-limiting enzyme of FA β-oxidation. Moreover, docosahexaenoic acid (DHA) increased FABP5, SLC27A4, LDLR (lipoprotein receptor), and proangiogenic ANGPT1 and ANGPTL4 mRNA expression. DHA and arachidonic acid stimulated pTr cell proliferation, while linoleic and eicosapentaenoic acids increased cell adhesion. These results are the first demonstrating dynamic changes of FA transporter expression in peri-implantation conceptuses and developing placentae of the pig and indicate FA uptake by the early placenta. Furthermore, PUFAs may support placenta development by modulating gene expression, increasing PGE2 level, and promoting trophoblast cell viability and adhesion. - Source: PubMed
Publication date: 2026/05/02
Blitek AgnieszkaSzymanska Magdalena - This study identifies diagnostic biomarkers of OA-related synovitis from synovial tissue expression and develops a validated diagnostic nomogram (differentially expressed genes = differentially expressed genes; single-sample gene set enrichment analysis [ssGSEA]). We analyzed GEO synovium datasets (training: GSE55235, GSE55457, GSE82107, OA = 30 vs controls = 27; validation: GSE89408, OA = 22 vs controls = 28; cartilage comparator: GSE129147, OA = 10 vs controls = 9) and applied weighted gene correlation network analysis to identify phenotype-linked modules, followed by 4 machine learning models (random forest [RF], support vector machine [SVM], xtreme gradient boosting (XGB), generalized linear model [GLM]) to rank genes, selection of hub genes from the top SVM features, construction and validation of a multigene nomogram predicting OA-related synovitis vs control, and integrative pathway and immune profiling (gene ontology/kyoto encyclopedia of genes and genomes, ssGSEA), competitive endogenous RNA network analysis, and hypothesis-generating protein-ligand docking. In the training synovium set (GSE55235 + GSE55457 + GSE82107; outcome = OA-related synovitis vs control), model area under the curves (AUCs; 95% confidence intervals) were RF 0.944 (0.882-1.000), SVM 1.000 (0.997-1.000), XGB 0.917 (0.842-0.992), and GLM 0.944 (0.882-1.000). In the external synovium validation dataset GSE89408 (outcome = OA-related synovitis vs control), AUCs (95% confidence intervals) were RF 0.729 (0.585-0.873), SVM 0.792 (0.662-0.922), XGB 0.717 (0.571-0.863), and GLM 0.771 (0.636-0.906), emphasizing external validation as the fairer test of model generalizability. The cartilage comparator GSE129147 (outcome = OA vs control in cartilage) yielded SVM AUC 0.833 (0.333-1.000), supporting tissue-specific yet cross-tissue consistency. Five hub genes - CTSH, ephrin-B2, YIPF2, ZNF671, SLC27A6 - were identified from 462 intersecting genes, selected from the SVM model because it showed the smallest residuals and best internal discrimination among the 4 tested algorithms. The 5-gene nomogram showed good calibration and decision-curve net benefit across 10% to 40% threshold probabilities, confirming its diagnostic utility. ssGSEA analysis revealed enriched immune-related pathways and higher infiltration of B cells, macrophages, mast cells, and T-cell subsets in OA synovium, closely associated with the expression of hub genes such as YIPF2 and ZNF671 linked to adaptive-immune and inflammatory signaling. Molecular docking indicated that dexamethasone and triamcinolone acetonide bind to the protein products of the hub genes (-7.1 to -8.5 kcal/mol). The 5-gene synovium-based SVM model provides a validated diagnostic nomogram for OA-related synovitis; docking findings are hypothesis-generating and not evidence of therapeutic efficacy. - Source: PubMed
Wang PengJiang XingwenXia XiaofengZou KaiZuo BinHe Jingxuan - To mine single-cell sequencing data for colorectal cancer (CRC), identify CRC epithelial cell subtypes, and explore the heterogeneity of epithelial cells and their impact on the tumor microenvironment (TME). The GSE201348 dataset, including normal, colorectal adenoma, high-grade colorectal intraepithelial neoplasia, and CRC tumor tissue samples, was downloaded from the Gene Expression Omnibus. The Seurat package of R software was used for data quality control, data integration, normalization, and clustering. The Feature Plot and the Recode function were executed to annotate and group the epithelial cells. Finally, genetic differences, copy number variant heterogeneity, pseudotime, cell-cell communication, and Gene Set Variation Analysis (GSVA) were further conducted. In total, 26,335 gene matrices from 263,872 cells were obtained for subsequent analyses. Four cell clusters, including immune cells, fibroblasts, endothelial cells, and epithelial cells, were identified. Epithelial cells were further divided into 11 subgroups characterized by MKI67, SLC27A6, PLCE1, NKD1, KCNMA1, GDA, CLCA4, BEST4, LRMP, ACTG2, and ASPM. GSVA enrichment analysis suggested a role of the "P53 pathway," "Wnt-β-catenin signaling," and "MYC targets V1" pathways in epithelial cells during the malignant progression of tumors. Survival analysis indicated that downregulation of KCNMA1 and upregulation of MKI67 were associated with poor prognosis. Cell-cell communication analysis suggested a bidirectional regulatory role between epithelial and fibroblast subsets. This study analyzed the gene expression characteristics of 11 types of epithelial cells during the malignant progression of CRC. KCNMA1 and MKI67 epithelial subpopulations are important indicators for the malignant progression of CRC. - Source: PubMed
Publication date: 2026/02/05
Chen QianqianYuan YaoqianTian ShuaiZhou JiayanLv KunmingLinghu Enqiang - Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes. When the infant is large for gestational age, placental nutrient transport capacity is often increased. We hypothesized that GDM alters placental nutrient transporter abundance irrespective of infant size. - Source: PubMed
Publication date: 2025/10/25
Mahindra PradhikiHillman Sara LSiassakos DimitriosVaughan Owen R