ABSTRACT
Osteoarthritis (OA) is a degenerative disease closely associated with Anoikis. The objective of this work was to discover novel transcriptome-based anoikis-related biomarkers and pathways for OA progression.The microarray datasets GSE114007 and GSE89408 were downloaded using the Gene Expression Omnibus (GEO) database. A collection of genes linked to anoikis has been collected from the GeneCards database. The intersection genes of the differential anoikis-related genes (DEARGs) were identified using a Venn diagram. Infiltration analyses were used to identify and study the differentially expressed genes (DEGs). Anoikis clustering was used to identify the DEGs. By using gene clustering, two OA subgroups were formed using the DEGs. GSE152805 was used to analyse OA cartilage on a single cell level. 10 DEARGs were identified by lasso analysis, and two Anoikis subtypes were constructed. MEgreen module was found in disease WGCNA analysis, and MEturquoise module was most significant in gene clusters WGCNA. The XGB, SVM, RF, and GLM models identified five hub genes (CDH2, SHCBP1, SCG2, C10orf10, P FKFB3), and the diagnostic model built using these five genes performed well in the training and validation cohorts. analysing single-cell RNA sequencing data from GSE152805, including 25,852 cells of 6 OA cartilage.
Subject(s)
Anoikis , Osteoarthritis , Humans , Anoikis/genetics , Machine Learning , Cadherins , Osteoarthritis/diagnosis , Osteoarthritis/genetics , Sequence Analysis, RNA , Shc Signaling Adaptor ProteinsABSTRACT
Objective To analyze the related pathogenicity gene mutations in a sudden death of hypertrophic cardiomyopathy (HCM) on whole exome level.Methods Whole exome sequencing (WES) was been performed on a sudden death case sample with pathological features of HCM by Illumina(R) Hiseq 2500 platform.Using hgl9 as the reference sequences,the sequencing data were analyzed.Suspicious single nucleotide variants (SNV) were screened,and the conservatism and function were analyzed by the software such as PhyloP,PolyPhen-2,SIFT,etc.Results After screening,a heterozygous mutation C719R was finally identified in the gene MYBPC3 of this case.Conclusion The molecular anatomy on whole exome level by second generation sequencing technology can help to define the molecular mechanism of HCM and provide a new mothed and thought for analysis of death cause.
ABSTRACT
<p><b>OBJECTIVE</b>To study the effect of Shenfu Injection (SF) on the apoptosis of prostate cancer PC-3 cells and its possible mechanism.</p><p><b>METHODS</b>We divided prostate cancer PC-3 cells into a blank control group and three experimental groups, the latter treated with SF at 50, 100, and 200 microl/ml, respectively, for 24, 48, and 72 hours. Then we determined the proliferation of the cells by MTT assay, measured their apoptosis by Annexin V/PI flow cytometry, and detected the expression of P53 mRNA by RT-qPCR.</p><p><b>RESULTS</b>Compared with the blank control group, the survival rates of the prostate cancer PC-3 cells in the 50, 100, and 200 microl/ml SF groups were (93.76 +/- 2.63)%, (81.21 +/- 1.80)% and (18.01 +/- 3.84)% at 24 hours, (94.67 +/-1.11)%, (78.33 +/- 2.89)% and (10.34 +/- 1.44)% at48 hours, and (91.30 +/- 0.47)%, (36.67 +/- 1.56)% and (1.33 +/- 0.32)% at 72 hours, all significantly increased in a dose- and time-dependent manner (P < 0.05). The expression of p53 mRNA was also markedly increased in all the three experimental groups at 48 hours (P < 0. 05).</p><p><b>CONCLUSION</b>SF can inhibit the proliferation and induce the apoptosis of PC-3 cells, which may due to its upregulation of the p53 mRNA expression.</p>
Subject(s)
Humans , Male , Apoptosis , Cell Line, Tumor , Cell Proliferation , Drugs, Chinese Herbal , Pharmacology , Prostatic Neoplasms , Metabolism , Pathology , Tumor Suppressor Protein p53 , MetabolismABSTRACT
From the historic and realistic viewpoints, the authors discussed the theory of TCM syndrome differentiation, pointing out that the modern TCM system of syndrome differentiation dependent treatment should consist of three components, the integral syndrome differentiation, local syndrome differentiation and microcosmic syndrome differentiation, they are independent comparatively and supplementary with each other.
