PT - JOURNAL ARTICLE AU - Carl J. Schmidt AU - Elizabeth M. Pritchett AU - Liang Sun AU - Richard V.N. Davis AU - Allen Hubbard AU - Kalmia E. Kniel AU - Sarah M. Markland AU - Qing Wang AU - Chris Ashwell AU - Michael Persia AU - Max F. Rothschild AU - Susan J. Lamont TI - RNA-seq: primary cells, cell lines and heat stress AID - 10.1101/013979 DP - 2015 Jan 01 TA - bioRxiv PG - 013979 4099 - http://biorxiv.org/content/early/2015/01/19/013979.short 4100 - http://biorxiv.org/content/early/2015/01/19/013979.full AB - Transcriptome analysis by RNA-seq has emerged as a high-throughput, cost-effective means to evaluate the expression pattern of genes in organisms. Unlike other methods, such as microarrays or quantitative PCR, RNA-seq is a target free method that permits analysis of essentially any RNA that can be amplified from a cell or tissue. At its most basic, RNA-seq can determine individual gene expression levels by counting the number of times a particular transcript was found in the sequence data. Transcript levels can be compared across multiple samples to identify differentially expressed genes and infer differences in biological states between the samples. We have used this approach to examine gene expression patterns in chicken and human cells, with particular interest in determining response to heat stress.