The complex transcriptional landscape of the anucleate human platelet

PF Bray, SE McKenzie, LC Edelstein, S Nagalla… - BMC genomics, 2013 - Springer
PF Bray, SE McKenzie, LC Edelstein, S Nagalla, K Delgrosso, A Ertel, J Kupper, Y Jing…
BMC genomics, 2013Springer
Background Human blood platelets are essential to maintaining normal hemostasis, and
platelet dysfunction often causes bleeding or thrombosis. Estimates of genome-wide platelet
RNA expression using microarrays have provided insights to the platelet transcriptome but
were limited by the number of known transcripts. The goal of this effort was to deep-
sequence RNA from leukocyte-depleted platelets to capture the complex profile of all
expressed transcripts. Results From each of four healthy individuals we generated long RNA …
Background
Human blood platelets are essential to maintaining normal hemostasis, and platelet dysfunction often causes bleeding or thrombosis. Estimates of genome-wide platelet RNA expression using microarrays have provided insights to the platelet transcriptome but were limited by the number of known transcripts. The goal of this effort was to deep-sequence RNA from leukocyte-depleted platelets to capture the complex profile of all expressed transcripts.
Results
From each of four healthy individuals we generated long RNA (≥40 nucleotides) profiles from total and ribosomal-RNA depleted RNA preparations, as well as short RNA (<40 nucleotides) profiles. Analysis of ~1 billion reads revealed that coding and non-coding platelet transcripts span a very wide dynamic range (≥16 PCR cycles beyond β-actin), a result we validated through qRT-PCR on many dozens of platelet messenger RNAs. Surprisingly, ribosomal-RNA depletion significantly and adversely affected estimates of the relative abundance of transcripts. Of the known protein-coding loci, ~9,500 are present in human platelets. We observed a strong correlation between mRNAs identified by RNA-seq and microarray for well-expressed mRNAs, but RNASeq identified many more transcripts of lower abundance and permitted discovery of novel transcripts.
Conclusions
Our analyses revealed diverse classes of non-coding RNAs, including: pervasive antisense transcripts to protein-coding loci; numerous, previously unreported and abundant microRNAs; retrotransposons; and thousands of novel un-annotated long and short intronic transcripts, an intriguing finding considering the anucleate nature of platelets. The data are available through a local mirror of the UCSC genome browser and can be accessed at: http://cm.jefferson.edu/platelets_2012/ .
Springer
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