Objective To study the apoptosis of rheumatoid arthritis synoviocyte induced by arsenic trioxide.Methods Human rheumatoid arthritis fibroblast-like synoviocytes (HFLS-RA) were divided into control group and arsenic trioxide group. After 72 hours, pathology changes were observed and MTT tests were used to investigate apoptosis levels induced by arsenic trioxide.Results Arsenic trioxide can induce the apoptosis of rheumatoid arthritis synoviocyte, depending on time and dose.Conclusion Arsenic trioxide may induce apoptosis of rheumatoid arthritis synoviocyte.

Long non-coding RNAs (lncRNAs) play a significant role in maintaining tissue morphology and functions, and their precise regulatory effectiveness is closely related to expression patterns. However, the spatial expression patterns of lncRNAs in humans are poorly characterized. Here, we constructed five comprehensive transcriptomic atlases of human lncRNAs covering thousands of major tissue samples in normal and disease states. The lncRNA transcriptomes exhibited high consistency within the same tissues across resources, and even higher complexity in specialized tissues. Tissue-elevated (TE) lncRNAs were identified in each resource and robust TE lncRNAs were refined by integrative analysis. We detected 1 to 4684 robust TE lncRNAs across tissues; the highest number was in testis tissue, followed by brain tissue. Functional analyses of TE lncRNAs indicated important roles in corresponding tissue-related pathways. Moreover, we found that the expression features of robust TE lncRNAs made them be effective biomarkers to distinguish tissues; TE lncRNAs also tended to be associated with cancer, and exhibited differential expression or were correlated with patient survival. In summary, spatial classification of lncRNAs is the starting point for elucidating the function of lncRNAs in both maintenance of tissue morphology and progress of tissue-constricted diseases.
Humans ; Gene Expression Profiling ; Neoplasms/genetics* ; Organ Specificity ; RNA, Long Noncoding/genetics* ; Transcriptome