Subudhi Amit Kumar, Boopathi P A, Garg Shilpi, Middha Sheetal, Acharya Jyoti, Pakalapati Deepak, Saxena Vishal, Aiyaz Mohammed, Orekondy Harsha B, Mugasimangalam Raja C, Sirohi Paramendra, Kochar Sanjay K, Kochar Dhanpat K, Das Ashis
Department of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
Department of Medicine, S.P. Medical College, Bikaner, Rajasthan, India.
Genom Data. 2014 Oct 29;2:393-5. doi: 10.1016/j.gdata.2014.10.010. eCollection 2014 Dec.
Antisense transcription is pervasive among biological systems and one of the products of antisense transcription is natural antisense transcripts (NATs). Emerging evidences suggest that they are key regulators of gene expression. With the discovery of NATs in Plasmodium falciparum, it has been suggested that these might also be playing regulatory roles in this parasite. However, all the reports describing the diversity of NATs have come from parasites in culture condition except for a recent study published by us. In order to explore the in vivo diversity of NATs in P. falciparum clinical isolates, we performed a whole genome expression profiling using a strand-specific 244 K microarray that contains probes for both sense and antisense transcripts. In this report, we describe the experimental procedure and analysis thereof of the microarray data published recently in Gene Expression Omnibus (GEO) under accession number GSE44921. This published data provide a wealth of information about the prevalence of NATs in P. falciparum clinical isolates from patients with diverse malaria related disease conditions. Supplementary information about the description and interpretation of the data can be found in a recent publication by Subudhi et al. in Experimental Parasitology (2014).
反义转录在生物系统中普遍存在,反义转录的产物之一是天然反义转录本(NATs)。新出现的证据表明,它们是基因表达的关键调节因子。随着恶性疟原虫中NATs的发现,有人提出这些NATs在这种寄生虫中可能也发挥着调节作用。然而,除了我们最近发表的一项研究外,所有描述NATs多样性的报告都来自培养条件下的寄生虫。为了探索恶性疟原虫临床分离株中NATs的体内多样性,我们使用了一种包含正义和反义转录本探针的链特异性244K微阵列进行了全基因组表达谱分析。在本报告中,我们描述了最近在基因表达综合数据库(GEO)中以GSE44921为登录号发表的微阵列数据的实验过程及其分析。这些已发表的数据提供了关于来自患有各种疟疾相关疾病的患者的恶性疟原虫临床分离株中NATs流行情况的丰富信息。有关数据描述和解释的补充信息可在Subudhi等人最近发表在《实验寄生虫学》(2014年)上的一篇文章中找到。