A bioinformatics approach for integrated transcriptomic and proteomic comparative analyses of model and non-sequenced anopheline vectors of human malaria parasites.

A bioinformatics approach for integrated transcriptomic and proteomic comparative analyses of model and non-sequenced anopheline vectors of human malaria parasites.
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一种生物信息学方法,用于对人类疟疾寄生虫的模型和非测序按蚊载体进行综合转录组学和蛋白质组学比较分析。

DOI:
10.1074/mcp.m112.019596
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发表时间:
2013
期刊:
Molecular & cellular proteomics : MCP
影响因子:
--
通讯作者:
Rok
Rok
中科院分区:
--
文献类型:
--
作者:
UbaidaMohien,Ceereena;Colquhoun,DavidR;Mathias,DerrickK;Gibbons,JohnG;Armistead,JenniferS;Rodriguez,MariaC;Rodriguez,MarioHenry;Edwards,NathanJ;Hartler,Jürgen;Thallinger,GerhardG;Graham,DavidR;Martinez-Barnetche,Jesus;Rok

文献摘要

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由恶性疟原虫和间日疟原虫引起的疟疾发病率和死亡率远远超出了非洲大陆,尽管如此。间日疟原虫每年造成8000万至3亿严重病例,间日疟原虫传播仍然知之甚少。疟原虫通过按蚊传播,寄生虫和宿主之间相互作用的关键部位是蚊子的管腔中肠刷状缘。虽然基因组的“模型”AfricanP.恶性疟原虫载体冈比亚按蚊(Anopheles gambiae)已经测序,但进化分歧限制了其作为按蚊属间参考的实用性,特别是未测序的P.间体媒介如白纹按蚊。显然,需要弥合这一重大科学差距的技术和平台,以便为公共卫生科学家提供关键的转录组学和蛋白质组学信息,从而刺激开发新的干预措施来对抗这种疾病。据我们所知,尚未公布解决这一问题的方法。为了加强我们对P. vivax-An。利用生物信息学技术,建立了一种基于RNA-Seq-LC-MS/MS的中肠相互作用研究方法。albimanu转录组(15,764个重叠群)和管腔中肠亚蛋白质组(9,445个蛋白质)组装,当与我们的定制双翅目蛋白质数据库(685,078个序列)一起使用时,其促进了两种重要疟疾载体,即,冈比亚和安albimanus。
Malaria morbidity and mortality caused by bothPlasmodium falciparumandPlasmodium vivaxextend well beyond the African continent, and althoughP. vivaxcauses between 80 and 300 million severe cases each year, vivax transmission remains poorly understood.Plasmodiumparasites are transmitted byAnophelesmosquitoes, and the critical site of interaction between parasite and host is at the mosquito's luminal midgut brush border. Although the genome of the “model” AfricanP. falciparumvector,Anopheles gambiae, has been sequenced, evolutionary divergence limits its utility as a reference across anophelines, especially non-sequencedP. vivaxvectors such asAnopheles albimanus. Clearly, technologies and platforms that bridge this substantial scientific gap are required in order to provide public health scientists with key transcriptomic and proteomic information that could spur the development of novel interventions to combat this disease. To our knowledge, no approaches have been published that address this issue. To bolster our understanding ofP. vivax–An. albimanusmidgut interactions, we developed an integrated bioinformatic-hybrid RNA-Seq-LC-MS/MS approach involvingAn. albimanustranscriptome (15,764 contigs) and luminal midgut subproteome (9,445 proteins) assembly, which, when used with our custom Diptera protein database (685,078 sequences), facilitated a comparative proteomic analysis of the midgut brush borders of two important malaria vectors,An. gambiaeandAn. albimanus.