Nuclear factor Y (NF-Y) regulates the proximal promoter activity of the mouse collagen alpha 1(XI) gene (Col11a1) in chondrocytes
IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-ANIMAL
Authors: Hida, Mariko; Hamanaka, Ryoji; Okamoto, Osamu; Yamashita, Kouhei; Sasaki, Takako; Yoshioka, Hidekatsu; Matsuo, Noritaka
Abstract
Type XI collagen, a heterotrimer composed of alpha 1(XI), alpha 2(XI), and alpha 3(XI), plays a critical role in cartilage formation and in skeletal morphogenesis. However, the transcriptional regulation of alpha 1(XI) collagen gene (Col11a1) in chondrocyte is poorly characterized. In this study, we investigated the proximal promoter of mouse Col11a1 gene in chondrocytes. Major transcription start site was located at -299 bp upstream of the translation start site, and the proximal promoter lacks a TATA sequence but has a high guanine-cytosine (GC) content. Cell transfection experiments demonstrated that the segment from -116 to -256 is necessary for activation of the proximal Col11a1 promoter, and an electrophoretic mobility shift assay showed that a nuclear protein is bound to the segment from -116 to -176 in this promoter. Additional comparative and in silico analyses demonstrated that an ATTGG sequence, which is critical for binding to nuclear factor Y (NF-Y), is within the highly conserved region from -135 to -145. Interference assays using wild-type and mutant oligonucleotide or with specific antibody revealed that NF-Y protein is bound to this region. Cell transfection experiments with reporter constructs in the absence of NF-Y binding sequence exhibited the suppression of the promoter activity. Furthermore, chromatin immunoprecipitation assay demonstrated that NF-Y protein is directly bound to this region in vivo, and overexpression of dominant-negative NF-Y A mutant also inhibited the proximal promoter activity. Taken together, these results indicate that the transcription factor NF-Y regulates the proximal promoter activity of mouse Col11a1 gene in chondrocytes.
Identification of potential core genes in metastatic renal cell carcinoma using bioinformatics analysis
AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH
Authors: Li, Chunsheng; Shao, Ting; Bao, Guochang; Gao, Zhiming; Zhang, Yinglang; Ding, Honglin; Zhang, Wei; Liu, Fengjun; Guo, Changgang
Abstract
Most cases of mRCC without an early finding are not candidates for curative therapies, which may be one of the reasons for the poor patient prognosis. Therefore, candidate markers to diagnose the disease and treatment with high efficiency are urgently demanded. Three datasets of mRNA microarray have been assessed to discover DEGs between tissues from metastatic RCC and RCC. 111 DEGs in total were identified according to the expression profile result of genes in the database of GEO. Enrichment analyses for GO and KEGG have been conducted to reveal the interacting activities in the DEGs. A network of PPI has been established to reveal the interconnection among the DEGs, and we selected 10 hub genes. Subsequently, the disease-free survival rate and total survival rate analysis for the hub genes have been carried out with the method of Kaplan-Meier curve. RCC patients with CDH11, COL3A1, COL5A1, COL5A2, COL6A3 and COL11A1 alteration showed worse overall survival. Nonetheless, RCC patients with CDH11, COL3A1, COL5A1, COL5A2 and COL11A1 alteration showed worse disease-free survival. In the Jones Renal dataset, mRNA levels of 10 hub genes were associated with metastasis, and the gene expression level in patients with mRCC was higher than that in patients without metastasis. COL5A1, COL6A3 and COL11A1 expression levels were remarkably related to RCC patient survival rate using UALCAN. COL5A1, COL6A3 and COL11A1 were positively correlated with each other in RCC. These genes have been recognized as genes with clinical relevance, revealing that they might have important roles in carcinogenesis or development of mRCC.