Genome-wide RNA-seq analysis of human and mouse platelet transcriptomes

JW Rowley, AJ Oler, ND Tolley… - Blood, The Journal …, 2011 - ashpublications.org
JW Rowley, AJ Oler, ND Tolley, BN Hunter, EN Low, DA Nix, CC Yost, GA Zimmerman…
Blood, The Journal of the American Society of Hematology, 2011ashpublications.org
Inbred mice are a useful tool for studying the in vivo functions of platelets. Nonetheless, the
mRNA signature of mouse platelets is not known. Here, we use paired-end next-generation
RNA sequencing (RNA-seq) to characterize the polyadenylated transcriptomes of human
and mouse platelets. We report that RNA-seq provides unprecedented resolution of mRNAs
that are expressed across the entire human and mouse genomes. Transcript expression and
abundance are often conserved between the 2 species. Several mRNAs, however, are …
Abstract
Inbred mice are a useful tool for studying the in vivo functions of platelets. Nonetheless, the mRNA signature of mouse platelets is not known. Here, we use paired-end next-generation RNA sequencing (RNA-seq) to characterize the polyadenylated transcriptomes of human and mouse platelets. We report that RNA-seq provides unprecedented resolution of mRNAs that are expressed across the entire human and mouse genomes. Transcript expression and abundance are often conserved between the 2 species. Several mRNAs, however, are differentially expressed in human and mouse platelets. Moreover, previously described functional disparities between mouse and human platelets are reflected in differences at the transcript level, including protease activated receptor-1, protease activated receptor-3, platelet activating factor receptor, and factor V. This suggests that RNA-seq is a useful tool for predicting differences in platelet function between mice and humans. Our next-generation sequencing analysis provides new insights into the human and murine platelet transcriptomes. The sequencing dataset will be useful in the design of mouse models of hemostasis and a catalyst for discovery of new functions of platelets. Access to the dataset is found in the “Introduction.”
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