Widespread misinterpretation of gene expression data
(PHYSorg.com Biology)

Reproducibility is a major challenge in experimental biology, and with the increasing complexity of data generated by genomic-scale techniques this concern is immensely amplified. RNA-seq, one of the most widely used methods in modern molecular biology, allows in a single test the simultaneous measurement of the expression level of all the genes in a given sample. New research publishing November 12 in the open-access journal PLOS Biology by Shir Mandelbaum, Zohar Manber, Orna Elroy-Stein, and Ran Elkon from Tel Aviv University, identifies a frequent technical bias in data generated by RNA-seq technology, which recurrently leads to false results.