title: Differential expression profiling and functional analysis of microRNAs through stage I-III papillary thyroid carcinoma.
abstract: OBJECTIVE
  To elucidate the mechanisms undergoing the pathogenesis of PTC, this study try to find stage specific microRNAs (miRNAs) using microarray chip in stage I, II and III papillary thyroid carcinoma (PTC) tissues as well predict miRNAs binding target genes and their molecular functions.
  
  
  METHODS
  PTC specimens of stage I, II, and III and their paired adjacent non-tumor tissue (one patient for each stage) were collected. The expressions of miRNAs were examined using miRNA microarray chip. The most significant changed miRNAs from microarray were verified by using quantitative RT-PCR. The Potential miRNAs regulating target genes and their preliminary biological functions were forecasted with variety function prediction software.
  
  
  RESULTS
  Ten miRNAs exhibited sequential up regulation expression profiles and five miRNAs performed sequential down regulation throughout stage I to III (p<0.05). After normalization, Fifteen miRNAs showed significant different compared to adjacent non-tumor tissues (p<0.05). Among of them, the most significant up regulation and down regulation miRNAs were miR-146b-5p and miR-335, respectively. Both of them were verified with qRT-PCR. 34 target genes for miR-146-5p and 36 target genes for miR-335 was predicted.
  
  
  CONCLUSIONS
  MicroRNA profile assay successfully detected a branch of differential expression miRNAs between PTC and normal tissue. Some of them also showed stage specific. Biological function analysis showed that target genes were involved in five aspects including cell proliferation, differentiation, apoptosis, cycle, and signaling transduction pathway, suggesting the regulatory role of abnormal expression of critical miRNAs in the pathogenesis of PTC.
authors.affiliation: Department of Thyroid Surgery of the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Zhang
authors.forename: Yang
authors.initials: Y
authors.lastname: Liu
authors.forename: Zheng
authors.initials: Z
authors.lastname: Liu
authors.forename: Xiao-Ming
authors.initials: XM
authors.lastname: Wang
authors.forename: De-Tao
authors.initials: DT
authors.lastname: Yin
authors.forename: Li-Li
authors.initials: LL
authors.lastname: Zheng
authors.forename: De-Yan
authors.initials: DY
authors.lastname: Zhang
authors.forename: Xiu-Bo
authors.initials: XB
authors.lastname: Lu
mesh_terms: D000368:Aged; D017209:Apoptosis / Q000235:genetics; D002277:Carcinoma / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D002291:Carcinoma, Papillary; D002453:Cell Cycle; D002454:Cell Differentiation; D049109:Cell Proliferation; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008297:Male; D035683:MicroRNAs / Q000096:biosynthesis* / Q000235:genetics; D008875:Middle Aged; D009367:Neoplasm Staging; D015398:Signal Transduction / Q000235:genetics*; D000077273:Thyroid Cancer, Papillary; D013964:Thyroid Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology
chemical_list: D035683:MicroRNAs
keywords: bioinformatics.; microRNA; microarray; papillary thyroid carcinoma; qRT-PCR