Response to Letter to the Editor entitled 'Correct microarray analysis approaches in "Hsa-circRNA11783-2 in peripheral blood is correlated with coronary artery disease and type 2 diabetes mellitus"'

Diab Vasc Dis Res. 2018 Mar;15(2):169-170. doi: 10.1177/1479164117747187. Epub 2017 Dec 14.

Abstract

In the paper entailed 'Hsa-circRNA11783-2 in peripheral blood is correlated with coronary artery disease and type 2 diabetes mellitus', we illustrated the correlation of circRNA with T2DM and CAD. We used the common method - Q-PCR to select differentially expressed circular RNA (differentially expressedgenes(DEGs)), with a criteria of fold change>2 and unadjusted p values < 0.05 in expression. When the candidate RNAs have been narrowed down by GO and Pathway analysis, Q-PCR is a good verification method, although the idea that using Q-PCR to verify all the DEGs is still unrealistic. There is no denying that using an optimal statistical approach makes the survey much easier.

Keywords: bioinformatics; circRNA; microarray analysis.

Publication types

  • Letter

MeSH terms

  • Coronary Artery Disease / blood*
  • Coronary Artery Disease / diagnosis
  • Diabetes Mellitus, Type 2 / blood*
  • Diabetes Mellitus, Type 2 / diagnosis
  • Humans
  • Microarray Analysis* / methods
  • RNA / blood*
  • RNA, Circular
  • Real-Time Polymerase Chain Reaction / methods

Substances

  • RNA, Circular
  • RNA