Rabbit Link Kit Components
- Known as:
- Rabbit Link Kit Components
- Catalog number:
- M 003
- Product Quantity:
- 10ml
- Category:
- -
- Supplier:
- Diagnostic Biosystems
- Gene target:
- Rabbit Link Kit Components
Related genes to: Rabbit Link Kit Components
- Gene:
- RAPGEFL1 NIH gene
- Name:
- Rap guanine nucleotide exchange factor like 1
- Previous symbol:
- -
- Synonyms:
- Link-GEFII
- Chromosome:
- 17q21.1
- Locus Type:
- gene with protein product
- Date approved:
- 2004-03-01
- Date modifiied:
- 2016-10-05
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- Macrophage phenotype switch plays a vital role in the progression of malignancies. We aimed to build a prognostic signature by exploring the expression pattern of macrophage phenotypic switch related genes (MRGs) in the Cancer Genome Atlas (TCGA)-pancreatic adenocarcinoma (PAAD), Genotype-Tissue Expression (GTEx)-Pancreas, and Gene Expression Omnibus (GEO) databases. - Source: PubMed
Publication date: 2021/03/03
Li Mu-XingWang Hang-YanYuan Chun-HuiMa Zhao-LaiJiang BinLi LeiZhang LiXiu Dian-Rong - Dysfunction in fibroblast growth factor receptor (FGFR) signaling has been reported in diverse cancer types, including non-small cell lung cancer (NSCLC). The frequency of aberrations in Chinese NSCLC patients is therefore of great clinical significance. - Source: PubMed
Publication date: 2021/03/12
Zhou ZhenLiu ZichuanOu QiuxiangWu XueWang XiaonanShao YangLiu HongyanYang Yu - The aim of this study was to compare the molecular profiling, including somatic mutation and somatic copy number variation (SCNV), between human epidermal growth factor receptor 2 (HER2)-positive (HER2+) and HER2-negative (HER2-) gastric cancer patients. - Source: PubMed
Publication date: 2018/09/26
Zhou ChenfeiFeng XiaojingYuan FeiJi JunShi MinYu YingyanZhu ZhenggangZhang Jun - Oral squamous cell carcinoma (OSCC) is one of the most common malignancies and its survival rate has barely improved over the past few decades. The purpose of this study was to screen pathogenic genes of OSCC via microarray analysis. The mRNA expression microarray datasets (GSE2280 and GSE3524) were downloaded from the Gene Expression Omnibus (GEO) database. In GSE2280, there were 22 OSCC samples without metastasis and 5 OSCC samples with lymph node metastasis. In GSE3524, there were 16 OSCC samples and 4 normal tissue samples. The differentially expressed genes (DEGs) in OSCC samples with lymph node metastasis compared with those without metastasis (named as DEGs-1), and the DEGs in OSCC samples compared with normal tissue samples (named as DEGs-2), were obtained via limma package. The Database for Annotation, Visualization and Integrated Discovery (DAVID) was used to perform the functional enrichment analyses of DEGs-1 and DEGs-2. The miRNA-gene pairs of overlaps among DEGs were screened out with the TargetScan database, and the miRNA-gene regulated network was constructed by Cytoscape software. A total of 233 and 410 DEGs were identified in the sets of DEGs-1 and DEGs-2, respectively. DEGs-1 were enriched in 188 Gene Ontology (GO) terms and 8 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and DEGs-2 were enriched in 228 GO terms and 6 KEGG pathways. In total, 126 nodes and 135 regulated pairs were involved in the miRNA-gene regulated network. Our study indicated that transglutaminase 2 (TGM2) and Islet 1 (ISL1) may be biomarkers of OSCC and their metastases. Moreover, it provided some potential pathogenic genes (e.g. P2RY2 and RAPGEFL1) in OSCC. - Source: PubMed
Publication date: 2018/02/27
Ding YangLiu PengfeiZhang ShengshengTao LinHan Jianmin - To screen the aberrant methylation genes in esophageal squamous cell carcinoma (ESCC) for Kazakh nationality in Xinjiang, and the aberrant DNA methylation genes pattern provides a clue for deeply study on ESCC mechanism. Illumina Human Methylation 450 K chip was used to screen the genome-wide methylation on six cancer tissues and six adjacent normal tissues of ESCC in Kazakh people. Meanwhile, mRNA library was constructed by scanning the RNA expression on two cancer tissues and two adjacent normal tissues by Hiseq2000. After association study between the methylation profile and expression profile, aberrant DNA methylated genes were screened out and were uploaded to the GoMiner and the KEGG, completing the bioinformatic analysis. There were 227 hypermethylation genes and 6 hypomethylated genes in cancer tissue, mRNA expression varied from 0.0312 to 8,192 in cancer tissues compared with 0.0312-1,024 in adjacent normal tissues. The correlation study indicated that there were 10 loci in 10 down-regulated genes of hypermethylated in negative correlation group. Additionally, there were 11 loci in 10 up-regulated genes in negative group. Using GoMiner to do GO analysis on aberrant DNA methylation genes, RAPGEFL1, TP53AIP1, KIAA1522, DUOXA2 were identified not involved in any biological processes. ALDH1L1 participated in folinic acid catabolism and CAPN1 positively regulated the cell proliferation. And ALDH1L1 involved in one carbon metabolism and CAPN1 participate in the apoptosis process by applying pathway analysis. The aberrant DNA methylation profiles were established and provided a clue for deeply study on ESCC of Kazakh nationality. - Source: PubMed
Publication date: 2014/10/11
Chen YanYin DongLi LeiDeng Yan-ChaoTian Wei