Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples

Günter P. Wagner, Koryu Kin, Vincent J. Lynch

Research output: Contribution to journalArticlepeer-review

731 Citations (Scopus)

Abstract

Measures of RNA abundance are important for many areas of biology and often obtained from highthroughput RNA sequencing methods such as Illumina sequence data. These measures need to be normalized to remove technical biases inherent in the sequencing approach, most notably the length of the RNA species and the sequencing depth of a sample. These biases are corrected in the widely used reads per kilobase per million reads (RPKM) measure. Here, we argue that the intended meaning of RPKM is a measure of relative molar RNA concentration (rmc) and show that for each set of transcripts the average rmc is a constant, namely the inverse of the number of transcripts mapped. Further, we show that RPKM does not respect this invariance property and thus cannot be an accurate measure of rmc. We propose a slight modification of RPKM that eliminates this inconsistency and call it TPM for transcripts per million. TPM respects the average invariance and eliminates statistical biases inherent in the RPKM measure.

Original languageEnglish
Pages (from-to)281-285
Number of pages5
JournalTheory in Biosciences
Volume131
Issue number4
DOIs
Publication statusPublished - Dec 2012

Keywords

  • NextGen sequencing
  • RNA quantification
  • RPKM

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