FLJ20489 Blocking Peptide
- Known as:
- FLJ20489 Blocking Peptide
- Catalog number:
- 33r-5063
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Fitzgerald industries international
- Gene target:
- FLJ20489 Blocking Peptide
Related genes to: FLJ20489 Blocking Peptide
- Gene:
- SLC48A1 NIH gene
- Name:
- solute carrier family 48 member 1
- Previous symbol:
- -
- Synonyms:
- FLJ20489, hHRG-1, HRG1
- Chromosome:
- 12q13.11
- Locus Type:
- gene with protein product
- Date approved:
- 2008-10-17
- Date modifiied:
- 2016-02-17
Related products to: FLJ20489 Blocking Peptide
Related articles to: FLJ20489 Blocking Peptide
- This study investigates the immunohistochemical expression of SLC48A1 and GLUT-1 in different grades of oral squamous cell carcinoma (OSCC) and explores their potential association with the development of tumor. OSCC is a heterogeneous malignancy characterized by increased glycolysis and glucose oxidation. Heme plays a crucial role in oxidative metabolism and ATP production via mitochondrial oxidative phosphorylation. SLC48A1 (solute carrier family 48 member 1) facilitates GLUT-1 trafficking, enhancing glucose uptake and lactate production, thereby promoting cancer cell migration and invasion. However, the relationship between SLC48A1, GLUT-1, and OSCC remains poorly understood. - Source: PubMed
Publication date: 2026/01/28
John SharonTomar ArushiJain AyushiSankar RoshnaGupta Shalini - Studies have shown that the iron concentration in the peritoneal fluid of women is associated with the severity of endometriosis. Therefore, investigation of iron metabolism-related genes (IM-RGs) in endometriosis holds significant implications for both prevention and therapeutic strategies in affected patients. Differentially expressed IM-RGs (DEIM-RGs) were identified by intersecting IM-RGs with differentially expressed genes derived from GSE86534. Mendelian randomization analysis was employed to determine DEIM-RGs causally associated with endometriosis, with subsequent verification through sensitivity analyses and the Steiger test. Biomarkers associated with IM-RGs in endometriosis were validated using expression data from GSE86534 and GSE105764. Functional annotation, regulatory network construction, and immunological profiling were conducted for these biomarkers. Single-cell RNA sequencing (scRNA-seq) (GSE213216) was utilized to identify distinctively expressed cellular subsets between endometriosis and controls. Experimental validation of biomarker expression was performed via reverse transcription-quantitative polymerase chain reaction (RT-qPCR). BMP6 and SLC48A1, biomarkers indicative of cellular BMP response, were influenced by a medicus variant mutation that inactivated PINK1 in complex I, concurrently enriched by both biomarkers. The lncRNA NEAT1 regulated BMP6 through hsa-mir-22-3p and hsa-mir-124-3p, while SLC48A1 was modulated by hsa-mir-423-5p, hsa-mir-19a-3p, and hsa-mir-19b-3p. Immune profiling revealed a negative correlation between BMP6 and monocytes, whereas SLC48A1 displayed a positive correlation with activated natural killer cells. scRNA-seq analysis identified macrophages and stromal stem cells as pivotal cellular components in endometriosis, exhibiting altered self-communication networks. RT-qPCR confirmed elevated expression of BMP6 and SLC48A1 in endometriosis samples relative to controls. Both BMP6 and SLC48A1 were consistently overexpressed in endometriosis, reinforcing their potential as biomarkers. Moreover, macrophages and stromal stem cells were delineated as key contributors. These findings provide novel insights into therapeutic and preventive approaches for patients with endometriosis. - Source: PubMed
Publication date: 2025/10/09
Du JuanLv ZiliLuo Xiaohong - Oligodendrocytes (OLs) of the central nervous system require iron for proteolipid biosynthesis during the myelination process. Although most heme is found complexed to hemoglobin in red blood cells, surprisingly, we found that Slc48a1, encoding the heme transporter Hrg1, is expressed at higher levels in OLs than any other cell type in rodent and humans. We confirmed in situ that Hrg1 is expressed in OLs but not their precursors (OPCs) and found that Hrg1 proteins in CNS white matter co-localized within myelin sheaths. In older Hrg1 null mutant mice we observed reduced expression of myelin associated glycoprotein (Mag) and ultrastructural myelin defects reminiscent of Mag-null animals, suggesting myelin adhesion deficiency. Further, we confirmed reduced myelin iron levels in Hrg1 null animals in vivo, and show that OLs in vitro can directly import both the fluorescent heme analogue ZnMP and heme itself, which rescued iron deficiency induced inhibition of OL differentiation in a heme-oxidase-dependent manner. Together these findings indicate OL Hrg1 encodes a functional heme transporter required for myelin integrity. - Source: PubMed
Publication date: 2024/11/06
Stockley John HVaquie Adrien MXu ZhaoyangBartels TheresaJordan Gregory DHolmqvist StaffanGunter SimonLam GuyYamamoto DanielPek Rini HChambers Ian GRock Andrew SHill MyfanwyZhao ChaoDillon ScottFranklin Robin J MO'Connor RosemaryBodine David MHamza IqbalRowitch David H - Solute carrier (SLC) proteins play an important role in tumor metabolism. But SLC-associated genes' prognostic significance in hepatocellular carcinoma (HCC) remained elusive. We identified SLC-related factors and developed an SLC-related classifier to predict and improve HCC prognosis and treatment. - Source: PubMed
Publication date: 2023/02/17
Xiong LingfengLuo YongpingYuan TianbaiLin WeipengLin BohuiWu ChenDuan YuyouOu Yimeng - As an essential microelement, the iron ion is involved in cell proliferation, metabolism, and differentiation. Iron metabolism plays a crucial role in the occurrence and development of colon adenocarcinoma (COAD). In this study, univariate and multivariate Cox regression, and least absolute shrinkage and selection operator analyses were conducted to construct the gene signature, based on a dataset from The Cancer Genome Atlas. We identified the prognostic value of two iron metabolism-related genes [SLC39A8 (encoding solute carrier family 39 member 8) and SLC48A1 (encoding solute carrier family 48 member 1)] in COAD. A nomogram model was established to predict the overall survival of patients with COAD. Functional analysis showed that the tumor microenvironment and immune cell infiltrate were different between the low risk and high risk subgroups. This study verified that the iron metabolism-related gene signature (SLC39A8 and SLC48A1) could be used as a prognostic biomarker for patients with COAD. - Source: PubMed
Publication date: 2022/01/18
Yuan JingLiu TaoZhang Yuhong