Literature DB >> 24657575

Natural antisense transcripts in Plasmodium falciparum isolates from patients with complicated malaria.

Amit Kumar Subudhi1, P A Boopathi2, Shilpi Garg3, Sheetal Middha4, Jyoti Acharya5, Deepak Pakalapati6, Vishal Saxena7, Mohammed Aiyaz8, Harsha B Orekondy9, Raja C Mugasimangalam10, Paramendra Sirohi11, Sanjay K Kochar12, Dhanpat K Kochar13, Ashis Das14.   

Abstract

Mechanisms regulating gene expression in malaria parasites are not well understood. Little is known about how the parasite regulates its gene expression during transition from one developmental stage to another and in response to various environmental conditions. Parasites in a diseased host face environments which differ from the static, well adapted in vitro conditions. Parasites thus need to adapt quickly and effectively to these conditions by establishing transcriptional states which are best suited for better survival. With the discovery of natural antisense transcripts (NATs) in this parasite and considering the various proposed mechanisms by which NATs might regulate gene expression, it has been speculated that these might be playing a critical role in gene regulation. We report here the diversity of NATs in this parasite, using isolates taken directly from patients with differing clinical symptoms caused by malaria infection. Using a custom designed strand specific whole genome microarray, a total of 797 NATs targeted against annotated loci have been detected. Out of these, 545 NATs are unique to this study. The majority of NATs were positively correlated with the expression pattern of the sense transcript. However, 96 genes showed a change in sense/antisense ratio on comparison between uncomplicated and complicated disease conditions. The antisense transcripts map to a broad range of biochemical/metabolic pathways, especially pathways pertaining to the central carbon metabolism and stress related pathways. Our data strongly suggests that a large group of NATs detected here are unannotated transcription units antisense to annotated gene models. The results reveal a previously unknown set of NATs that prevails in this parasite, their differential regulation in disease conditions and mapping to functionally well annotated genes. The results detailed here call for studies to deduce the possible mechanism of action of NATs, which would further help in understanding the in vivo pathological adaptations of these parasites.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Complicated malaria; Natural antisense transcript; Plasmodium falciparum; Strand specific microarray; Uncomplicated malaria

Mesh:

Substances:

Year:  2014        PMID: 24657575     DOI: 10.1016/j.exppara.2014.03.008

Source DB:  PubMed          Journal:  Exp Parasitol        ISSN: 0014-4894            Impact factor:   2.011


  7 in total

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Journal:  PLoS Pathog       Date:  2022-07-07       Impact factor: 7.464

Review 2.  Non-coding RNAs in malaria infection.

Authors:  Valeria Lodde; Matteo Floris; Maria Rosaria Muroni; Francesco Cucca; Maria Laura Idda
Journal:  Wiley Interdiscip Rev RNA       Date:  2021-10-14       Impact factor: 9.349

Review 3.  Noncoding RNAs in Apicomplexan Parasites: An Update.

Authors:  Yiran Li; Rodrigo P Baptista; Jessica C Kissinger
Journal:  Trends Parasitol       Date:  2020-08-20

4.  Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray.

Authors:  P A Boopathi; Amit Kumar Subudhi; Shilpi Garg; Sheetal Middha; Jyoti Acharya; Deepak Pakalapati; Vishal Saxena; Mohammed Aiyaz; Bipin Chand; Raja C Mugasimangalam; Sanjay K Kochar; Parmendra Sirohi; Dhanpat K Kochar; Ashis Das
Journal:  Genom Data       Date:  2014-07-11

5.  An in vivo transcriptome data set of natural antisense transcripts from Plasmodium falciparum clinical isolates.

Authors:  Amit Kumar Subudhi; P A Boopathi; Shilpi Garg; Sheetal Middha; Jyoti Acharya; Deepak Pakalapati; Vishal Saxena; Mohammed Aiyaz; Harsha B Orekondy; Raja C Mugasimangalam; Paramendra Sirohi; Sanjay K Kochar; Dhanpat K Kochar; Ashis Das
Journal:  Genom Data       Date:  2014-10-29

6.  A cross strain Plasmodium falciparum microarray optimized for the transcriptome analysis of Plasmodium falciparum patient derived isolates.

Authors:  Amit Kumar Subudhi; P A Boopathi; Sheetal Middha; Jyoti Acharya; Sudha Narayana Rao; Raja C Mugasimangalam; Paramendra Sirohi; Sanjay K Kochar; Dhanpat K Kochar; Ashis Das
Journal:  Genom Data       Date:  2016-07-20

7.  Plasmodium falciparum specific helicase 2 is a dual, bipolar helicase and is crucial for parasite growth.

Authors:  Manish Chauhan; Renu Tuteja
Journal:  Sci Rep       Date:  2019-02-06       Impact factor: 4.379

  7 in total

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