We designed the primers based on the sequence of the follistatin-related protein from Haemaphysalis longicornis Okayama strain accessed in GenBank. We cloned a gene encoding follistatin-related protein by RT-PCR, and the length cDNA is 814 bp, encoding a deduced protein of 289 amino acids. The alignment with the sequence of follistatin-related protein from the H. longicornis Okayama strain showed that the percent of nucleotide sequence and amino acid sequence is 97.8% and 99%, respectively. The expected size of GST-fused recombinant protein was 57 kD. We purified the recombinant protein through MagneGST protein purification system. Western blotting revealed that stronger reaction happened with the antiserum against eggs, but not clear with antisera against other developmental stages.
Amino Acid Sequence ; Animals ; Cloning, Molecular ; Follistatin-Related Proteins ; genetics ; immunology ; Ixodidae ; chemistry ; Molecular Sequence Data ; Recombinant Proteins ; biosynthesis ; genetics ; Sequence Alignment

Objective: To screen the different expressed genes between osteosarcoma and normal osteoblasts, and find the key genes for the occurrence and development of osteosarcoma. Methods: The gene expression dataset GSE33382 of normal osteoblasts and osteosarcoma was obtained from Gene Expression Omnibus (GEO) database. The different expressed genes between normal osteoblasts and osteosarcoma were screened by limma package of R language, and the different expressed genes were analyzed by Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis. The protein interaction network was constructed by the String database, and the network modules in the interaction network were screened by the molecular complex detection (MCODE) plug-in of Cytoscape software. The different expressed genes contained in the first three main modules screened by MCODE were analyzed by gene ontology (GO) using the BiNGO module of Cytoscape software. The MCC algorithm was used to screen the top 10 key genes in the protein interaction network. The gene expression and survival dataset GSE39055 of osteosarcoma was obtained from GEO database, and the survival analysis was performed by Kaplan-Meier method. The data of 48 patients with osteosarcoma treated in the First Affiliated Hospital of Fujian Medical University from January 2005 to December 2015 were selected for verification. The expression of STC2 protein in osteosarcoma was detected by immunohistochemical method, and the survival analysis was carried out combined with the clinical data of the patients. Results: A total of 874 different expressed genes were identified from GSE33382 dataset, including 402 down-regulated genes and 472 up-regulated genes. KEGG enrichment analysis showed that different expressed genes were mainly related to p53 signal pathway, glutathione metabolism, extracellular matrix receptor interaction, cell adhesion molecules, folate tolerance, and cell senescence. The top 10 key genes in the interaction network were GAS6, IL6, RCN1, MXRA8, STC2, EVA1A, PNPLA2, CYR61, SPARCL1 and FSTL3. STC2 was related to the survival rate of patients with osteosarcoma (P<0.05). The results showed that the expression of STC2 protein was related to tumor size and Enneking stage in 48 cases of osteosarcoma. The median survival time of 25 cases with STC2 high expression was 21.4 months, and that of 23 cases with STC2 low expression was 65.4 months. The survival rate of patients with high expression of STC2 was lower than that of patients with low expression of STC2 (P<0.05). Conclusions: Bioinformatics analysis can effectively screen the different expressed genes between osteosarcoma and normal osteoblasts. STC2 is one of the important predictors for the prognosis of osteosarcoma.
Bone Neoplasms/pathology* ; Computational Biology/methods* ; Follistatin-Related Proteins/genetics* ; Gene Expression Profiling/methods* ; Gene Expression Regulation, Neoplastic ; Humans ; Osteosarcoma/pathology*

BACKGROUND: We previously showed that the expression of follistatin-like protein 1 (FSTL1) was significantly down-regulated in metastatic clear-cell renal cell carcinoma (ccRCC). In this study, we aimed to characterize the role of FSTL1 in the development of ccRCC. METHODS: The effects of FSTL1 on cell activity and cell cycle were investigated in ccRCC cell lines with altered FSTL1 expression. Gene expression microarray assays were performed to identify the major signaling pathways affected by FSTL1 knockdown. The expression of FSTL1 in ccRCC and its effect on postoperative prognosis were estimated in a cohort with 89 patients. RESULTS: FSTL1 knockdown promoted anchorage-independent growth, migration, invasion, and cell cycle of ccRCC cell lines, whereas FSTL1 overexpression attenuated cell migration. FSTL1 knockdown up-regulated nuclear factor-κB (NF-κB) and hypoxia-inducible factor (HIF) signaling pathways, increased epithelial-to-mesenchymal transition, up-regulated interleukin-6 expression, and promoted tumor necrosis factor-α-induced degradation of NF-κB inhibitor (IκBα) in ccRCC cell lines. FSTL1 immunostaining was selectively positive in epithelial cytoplasm in the loop of Henle, and positive rate of FSTL1 was significantly lower in ccRCC tissues than in adjacent renal tissues (P < 0.001). The multivariate Cox regression analysis showed that the intratumoral FSTL1 expression conferred a favorable independent prognosis with a hazard ratio of 0.325 (95% confidence interval 0.118-0.894). HIF-2α expression was negatively correlated with FSTL1 expression in ccRCC specimens (r = - 0.229, P = 0.044). Intratumoral expression of HIF-2α, rather than HIF-1α, significantly predicted an unfavorable prognosis in ccRCC (log-rank, P = 0.038). CONCLUSIONS FSTL1 plays a tumor suppression role possibly via repressing the NF-κB and HIF-2α signaling pathways. To increase FSTL1 expression might be a candidate therapeutic strategy for metastatic ccRCC.
Adult ; Aged ; Aged, 80 and over ; Basic Helix-Loop-Helix Transcription Factors ; genetics ; Carcinoma, Renal Cell ; genetics ; pathology ; Cell Line, Tumor ; Cell Movement ; genetics ; Disease-Free Survival ; Epithelial-Mesenchymal Transition ; genetics ; Female ; Follistatin-Related Proteins ; genetics ; Gene Expression Regulation, Neoplastic ; genetics ; Humans ; Hypoxia-Inducible Factor 1, alpha Subunit ; genetics ; Male ; Middle Aged ; NF-kappa B ; genetics ; Neoplasm Metastasis ; Signal Transduction ; genetics ; Tumor Suppressor Proteins ; genetics