Systems Biology (Methods in Molecular Biology)

(Tina Sui) #1
two species (although given the very large TCGA cohort size,
some overlap between cancer and normal is seen for the TCGA
dataset).

Acknowledgments


This work was supported by the National Science Foundation
(award 1553728-DBI), the PhRMA Foundation (Research
Starter Grant in Informatics), the Medical Research Foundation of
Oregon (New Investigator Grant), and the Animal Cancer Founda-
tion (Comparative Oncology Award). S.A.R. thanks Shay Bracha
and Cheri Goodall for kindly providing the dog bladder RNA sam-
ples that were used in the transcriptome profiling study [3], Tanjin
Xu for assistance with the mRNA-seq data processing, Brent Kron-
miller for help with designing the dog mRNA-seq study, and Ilya
Shmulevich, Sheila Reynolds, and Matti Nykter for advice.

References



  1. Mortazavi A, Williams BA, McCue K et al (2008)
    Mapping and quantifying mammalian transcrip-
    tomesbyRNA-Seq.NatMethods5:621–628.
    https://doi.org/10.1038/nmeth.1226

  2. Lister R, O’Malley RC, Tonti-Filippini J et al
    (2008) Highly integrated single-base resolu-
    tion maps of the epigenome in Arabidopsis.


Cell 133:523–536. https://doi.org/10.
1016/j.cell.2008.03.029


  1. Ramsey SA, Xu T, Goodall C et al (2017) Cross-
    species analysis of the canineand human bladder
    cancer transcriptome and exome. Genes Chrom
    Cancer (4):56, 328–343.https://doi.org/10.
    1002/gcc.22441


−5.0

−2.5

0.0

2.5

5.0

−4 0 4
log 2 (cancer normal)in dog

log

( 2
cancer

normal

)


in human

Fig. 3Scatter plot of gene expression ratios of 1788 pairs of gene orthologs
(human-dog) in bladder cancer vs. normal bladder. Up- or downregulation of a
gene in human bladder cancer is highly predictive of up- or downregulation of
its dog ortholog in bladder cancer (odds ratio¼29.8,p< 10 ^15 , Fisher’s
exact test)

304 Stephen A. Ramsey

Free download pdf