Contribution Value：A Indicator for Measuring the Contribution of ncRNAs to Transcriptome

Abstract

Background：The expression difference multiple log2 FC and P value are often the main basis for screening ncRNA after high-throughput sequencing. However, the above two indicators can’t well reflect the regulatory effect of nonprotein coding RNA (ncRNA) on mRNA. Therefore, we propose a new indicator, Contribution value (C value), to characterize the contribution of ncRNAs to transcriptome transformation.Results：In this study, we analyzed multiple data sets from mice and humans. We take all differential expression mRNAs as a parent set and the GO and KEGG enrichment analysis were performed on it. C value can be simply regarded as the sum of the product of the richfactor of each ncRNA target genes participating in each term/pathway and the P value of that term/pathway obtained from the parent set. We found that C value was superior to log2 FC and P value in all operation results.Conclusions：We show that the C value, which takes into accounts the the KEGG pathways and GO terms involved in the development of the disease, provides a measure of another dimension compared with the log2FC and P value. These hidden interactions between ncRNAs and their target genes may provide more comprehensive analysis.