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Whole transcriptome expression analysis and comparison of two different strains of Plasmodium falciparum using RNA-Seq
The emergence and distribution of drug resistance in malaria are serious public health concerns in tropical and subtropical regions of the world. However, the molecular mechanism of drug resistance remains unclear. In the present study, we performed a high-throughput RNA-Seq to identify and characte...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872366/ https://www.ncbi.nlm.nih.gov/pubmed/27222812 http://dx.doi.org/10.1016/j.gdata.2016.04.004 |
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author | Antony, Hiasindh Ashmi Pathak, Vrushali Parija, Subhash Chandra Ghosh, Kanjaksha Bhattacherjee, Amrita |
author_facet | Antony, Hiasindh Ashmi Pathak, Vrushali Parija, Subhash Chandra Ghosh, Kanjaksha Bhattacherjee, Amrita |
author_sort | Antony, Hiasindh Ashmi |
collection | PubMed |
description | The emergence and distribution of drug resistance in malaria are serious public health concerns in tropical and subtropical regions of the world. However, the molecular mechanism of drug resistance remains unclear. In the present study, we performed a high-throughput RNA-Seq to identify and characterize the differentially expressed genes between the chloroquine (CQ) sensitive (3D7) and resistant (Dd2) strains of Plasmodium falciparum. The parasite cells were cultured in the presence and absence of CQ by in vitro method. Total RNA was isolated from the harvested parasite cells using TRIzol, and RNA-Seq was conducted using an Illumina HiSeq 2500 sequencing platform with paired-end reads and annotated using Tophat. The transcriptome analysis of P. falciparum revealed the expression of ~ 5000 genes, in which ~ 60% of the genes have unknown function. Cuffdiff program was used to identify the differentially expressed genes between the CQ-sensitive and resistant strains. Here, we furnish a detailed description of the experimental design, procedure, and analysis of the transcriptome sequencing data, that have been deposited in the National Center for Biotechnology Information (accession nos. PRJNA308455 andGSE77499). |
format | Online Article Text |
id | pubmed-4872366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-48723662016-05-24 Whole transcriptome expression analysis and comparison of two different strains of Plasmodium falciparum using RNA-Seq Antony, Hiasindh Ashmi Pathak, Vrushali Parija, Subhash Chandra Ghosh, Kanjaksha Bhattacherjee, Amrita Genom Data Data in Brief The emergence and distribution of drug resistance in malaria are serious public health concerns in tropical and subtropical regions of the world. However, the molecular mechanism of drug resistance remains unclear. In the present study, we performed a high-throughput RNA-Seq to identify and characterize the differentially expressed genes between the chloroquine (CQ) sensitive (3D7) and resistant (Dd2) strains of Plasmodium falciparum. The parasite cells were cultured in the presence and absence of CQ by in vitro method. Total RNA was isolated from the harvested parasite cells using TRIzol, and RNA-Seq was conducted using an Illumina HiSeq 2500 sequencing platform with paired-end reads and annotated using Tophat. The transcriptome analysis of P. falciparum revealed the expression of ~ 5000 genes, in which ~ 60% of the genes have unknown function. Cuffdiff program was used to identify the differentially expressed genes between the CQ-sensitive and resistant strains. Here, we furnish a detailed description of the experimental design, procedure, and analysis of the transcriptome sequencing data, that have been deposited in the National Center for Biotechnology Information (accession nos. PRJNA308455 andGSE77499). Elsevier 2016-04-23 /pmc/articles/PMC4872366/ /pubmed/27222812 http://dx.doi.org/10.1016/j.gdata.2016.04.004 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data in Brief Antony, Hiasindh Ashmi Pathak, Vrushali Parija, Subhash Chandra Ghosh, Kanjaksha Bhattacherjee, Amrita Whole transcriptome expression analysis and comparison of two different strains of Plasmodium falciparum using RNA-Seq |
title | Whole transcriptome expression analysis and comparison of two different strains of Plasmodium falciparum using RNA-Seq |
title_full | Whole transcriptome expression analysis and comparison of two different strains of Plasmodium falciparum using RNA-Seq |
title_fullStr | Whole transcriptome expression analysis and comparison of two different strains of Plasmodium falciparum using RNA-Seq |
title_full_unstemmed | Whole transcriptome expression analysis and comparison of two different strains of Plasmodium falciparum using RNA-Seq |
title_short | Whole transcriptome expression analysis and comparison of two different strains of Plasmodium falciparum using RNA-Seq |
title_sort | whole transcriptome expression analysis and comparison of two different strains of plasmodium falciparum using rna-seq |
topic | Data in Brief |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872366/ https://www.ncbi.nlm.nih.gov/pubmed/27222812 http://dx.doi.org/10.1016/j.gdata.2016.04.004 |
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