Cardeza Foundation for Hematologic Research, Division of Hematology, Department of Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
BMC Genomics. 2013 Jan 16;14:1. doi: 10.1186/1471-2164-14-1.
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.
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.
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/.
人类血小板对于维持正常止血至关重要,血小板功能障碍常导致出血或血栓形成。使用微阵列对全基因组血小板 RNA 表达进行评估,为血小板转录组提供了深入了解,但受已知转录本数量的限制。本研究的目的是从白细胞耗尽的血小板中对 RNA 进行深度测序,以捕获所有表达转录本的复杂图谱。
我们从四个健康个体中分别生成了总 RNA(≥40 个核苷酸)和核糖体 RNA 耗尽 RNA 制剂的长 RNA(≥40 个核苷酸)图谱,以及短 RNA(<40 个核苷酸)图谱。对大约 10 亿个读数的分析表明,编码和非编码血小板转录本的动态范围非常广泛(超过β-actin 16 个 PCR 循环),这一结果我们通过对数十种血小板信使 RNA 的 qRT-PCR 进行了验证。令人惊讶的是,核糖体 RNA 耗尽会显著且不利地影响转录本相对丰度的估计。在已知的蛋白编码基因座中,约 9500 个存在于人类血小板中。我们观察到 RNA-seq 鉴定的 mRNAs 与微阵列鉴定的 mRNAs 之间具有很强的相关性,对于表达良好的 mRNAs,但 RNA-seq 鉴定了更多低丰度的转录本,并允许发现新的转录本。
我们的分析揭示了多种非编码 RNA 类别,包括:蛋白编码基因座上广泛存在的反义转录本;许多以前未报道且丰富的 microRNAs;逆转录转座子;以及数千个新的未注释的长和短内含子转录本,考虑到血小板的无核性质,这是一个有趣的发现。数据可通过 UCSC 基因组浏览器的本地镜像获得,并可通过以下网址访问:http://cm.jefferson.edu/platelets_2012/。