Objective:Screening and verification lnc RNA and m RNA expression profiles a ssociated with colorectal cancer and conducting preliminary bioinformatic analys is of differentially expressed m RNAs.Methods:1.lncRNA microarray hybridization and data extraction:Randomly selected five cases of colorectal cancer tissues, extracting RNA,passing quality testing, synthetic c DNA, purification tag, passing testing of the labeling efficiency, conducting microarray hybridization, scanning, image-digital conversion, data normalization, set the fold change≥2 for the screening criteri a, geting lnc RNA and m RNA expression profiles.2.q RT-PCR verifying the reliability of microarray results:Selection six lnc RNAs with large fold-changes and in the relative positions of loci for intronic antisense, natural antisense or bidirectional(the two were up-regulated lnc RNAs: ENST00000421055, ENST00000441270;the four were do wnregulated lnc RNAs: uc003 hws.1, ENST00000565575, ENST00000563660, N R040058) were SYGB Green I q RT-PCR detected, and used the GAPDH as i nternal reference.3. GO analysis of differentially expressed m RNA GO classify into biological processesã€cellular components and molecular f unctions based on Gene Ontology(www.geneontology.org).A significant degree of GO functional pathways by P value indicates that the more significant funct ional ways with the smaller P value,(P <0.05 was statistically significant).4. KEGG analysis of differentially expressed m RNA KEGG analysis based on the KEGG database(Kyoto Encyclopedia of Gen es and Genomes, http://www.genome.jp/kegg), A significant degree of KEGG bi ological pathways by P value indicates that the more significant biological path ways with the smaller P value,(P <0.05 was statistically significant).Result:1.lnc RNA and m RNA expression profiles:The differential expression data of lnc RNAs was 11724(4908 lnc RNAs w ere up, 6816 lnc RNAs were down),the differential expression data of m RNAs was 7339(3860 m RNAs were up, 3479 m RNAs were down).2.q RT-PCR verifying the reliability of microarray results:The curves of GAPDH, ENST00000421055, ENST00000441270, uc003 hws.1, ENST00000565575, ENST00000563660, NR040058 showed specificity of P CR amplification, using 2-△△CTmethod to calculate the expression of ENST00000421055, ENST00000441270, uc003 hws.1, ENST00000565575, ENST000005 63660, NR040058 in five pairs of colorectal cancer tissues,the changes consi stent with the microarray results.3.3. GO analysis of differentially expressed m RNA The result of GO analysis showed that m RNAs differentially expression m ainly enriched in twenty Cell Biologysã€twenty cell components and twenty mo lecular functions, the highest enrichment degree of biological process in upregu lated m RNAs was the mitotic cell cycle, containing 210 differentially expressed m RNAs;the highest enrichment degree of cell component in upregulated m RN As was the cytosol, containing 508 differentially expressed m RNAs;the highest enrichment degree of molecular functiont in upregulated m RNAs was the pro tein binding, containing 1386 differentially expressed m RNAs;the highest enric hment degree of biological process in downregulated m RNAs was the multicell ular organismal process, containing 962 differentially expressed m RNAs;the hi ghest enrichment degree of cell component in downregulated m RNAs was the extracellular region, containing 421 differentially expressed m RNAs;the highest enrichment degree of molecular functiont in downregulated m RNAs was the a ctin binding, containing 81 differentially expressed m RNAs.4. KEGG analysis of differentially expressed m RNA The result of KEGG analysis showed that m RNAs differentially expressed mainly enriched in the twenty signaling pathways. The highest enrichment degr ee of biological pathway in upregulated m RNAs was the Cell cycle- Homo sapiens(human), containing 124 differentially expressed m RNAs.The highest en richment degree of biological pathway in downregulated m RNAs was the Syste mic lupus erythematosus- Homo sapiens(human), containing 137 differentially expressed m RNAs.Conclusion:1.Getting lnc RNAs and m RNAs expression profiles associated with colorectal cancer Using lnc RNA Microarray screened the lnc RNAs and m RNAs expression p rofiling associated with colorectal cancer, including 11,724 lnc RNAs and 7339 m RNAs.2.q RT-PCR verifying the reliability of microarray results Using SYGB Green I q RT-PCR detected the expression of these lnc RNAs in five cases of colorectal cancer tissues, the result was consistent with the m icroarray results and confirmed the reliability of microarray results.3.GO and KEGG analysis of differentially expressed m RNAs The result of GO analysis showed that m RNAs differentially expression m ainly enriched in twenty Cell Biologysã€twenty cell components and twenty mo lecular functions, The result of KEGG analysis showed that m RNAs differential ly expression mainly enriched in twenty signaling pathways, Through research colorectal cancer related m RNAs, it was hopeful to find more lnc RNAs as pot ential diagnostic markers and therapeutic targets. |