Tengda Li1, Mingli Gu2, Peng Liu1, Yun Liu2, Jie Guo2, Weiwei Zhang2, Anmei Deng1,3,4, Cheng Qian5. 1. Center of Clinical Experiments, Changhai Hospital, Second Military Medical University, Shanghai, China. 2. Department of Laboratory Diagnosis, Changhai Hospital, Second Military Medical University, Shanghai, China. 3. North Sichuan Medical College, Sichuan, China. 4. Shanxi University of Chinese Medicine, Xianyang, China. 5. The 100th Hospital of PLA, Suzhou, China.
Abstract
BACKGROUND/AIMS: Long noncoding RNAs (lncRNAs) are important regulators of biological processes and they contribute to the pathological developments of various diseases, including autoimmune diseases. To gain the further understanding, we estimate the expression of lncRNAs in primary immune thrombocytopenia (ITP). METHODS: In this study, microarray studies were performed to characterize expression profiles of various lncRNAs and mRNAs in blood samples collected from ITP patients. Quantitative real-time PCR (qRT-PCR) was performed to confirm the results, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and gene ontology analysis were used to provide functional annotations, co-expression network construction (CNC) analysis was made to reveal the relations between lncRNAs and their targeted genes. RESULTS: A total of 1177 and 632 lncRNAs were significantly up-regulated or down-regulated, respectively, in "newly diagnosed ITP" patients versus healthy individuals. In addition, 1182 genes and 737 genes were up-regulated or down-regulated, respectively, in "chronic recurrent ITP" patients versus healthy individuals. In a KEGG analysis, "TNF signaling pathway-Homo sapiens (human)" was a key result. In a gene ontology analysis, "Granulocyte macrophage colony-stimulating factor production (GO: 0032604, ontology: Biological process, P = 1.69577E-05)" and "coreceptor activity (GO: 0015026, ontology: molecular function, P = 4.67594E-06)" were the two most critical results. Data from qRT-PCR and receiver operating characteristic curves further demonstrated that ENST00000440492, ENST00000528366, NR_038920, and ENST00000552576 can efficiently distinguish different stages of ITP, especially NR_038920 and ENST00000528366. In a CNC analysis, four lncRNAs were emphasized, and NR_038920 and ENST00000528366 were both associated with proteins with important roles in autoimmune diseases. CONCLUSIONS: These results suggest that lncRNAs act through targeted genes to mediate their functions and to mediate their functions and affect the pathogenesis of ITP.
BACKGROUND/AIMS: Long noncoding RNAs (lncRNAs) are important regulators of biological processes and they contribute to the pathological developments of various diseases, including autoimmune diseases. To gain the further understanding, we estimate the expression of lncRNAs in primary immune thrombocytopenia (ITP). METHODS: In this study, microarray studies were performed to characterize expression profiles of various lncRNAs and mRNAs in blood samples collected from ITP patients. Quantitative real-time PCR (qRT-PCR) was performed to confirm the results, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and gene ontology analysis were used to provide functional annotations, co-expression network construction (CNC) analysis was made to reveal the relations between lncRNAs and their targeted genes. RESULTS: A total of 1177 and 632 lncRNAs were significantly up-regulated or down-regulated, respectively, in "newly diagnosed ITP" patients versus healthy individuals. In addition, 1182 genes and 737 genes were up-regulated or down-regulated, respectively, in "chronic recurrent ITP" patients versus healthy individuals. In a KEGG analysis, "TNF signaling pathway-Homo sapiens (human)" was a key result. In a gene ontology analysis, "Granulocyte macrophage colony-stimulating factor production (GO: 0032604, ontology: Biological process, P = 1.69577E-05)" and "coreceptor activity (GO: 0015026, ontology: molecular function, P = 4.67594E-06)" were the two most critical results. Data from qRT-PCR and receiver operating characteristic curves further demonstrated that ENST00000440492, ENST00000528366, NR_038920, and ENST00000552576 can efficiently distinguish different stages of ITP, especially NR_038920 and ENST00000528366. In a CNC analysis, four lncRNAs were emphasized, and NR_038920 and ENST00000528366 were both associated with proteins with important roles in autoimmune diseases. CONCLUSIONS: These results suggest that lncRNAs act through targeted genes to mediate their functions and to mediate their functions and affect the pathogenesis of ITP.