Campus Units

Animal Science

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

1-19-2015

Journal or Book Title

bioRxiv

DOI

10.1101/013979

Abstract

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.

Comments

This is a pre-print of the article Schmidt, Carl J., Elizabeth M. Pritchett, Liang Sun, Richard V.N. Davis, Allen Hubbard, Kalmia E. Kniel, Sarah M. Markland, Qing Wang, Chris Ashwell, Michael Persia, Max F. Rothschild, and Susan J. Lamont. "RNA-seq: primary cells, cell lines and heat stress." bioRxiv (2015). DOI: 10.1101/013979. Posted with permission.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Copyright Owner

The Author(s)

Language

en

File Format

application/pdf

Published Version

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