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Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray
Natural antisense transcripts (NATs) have been detected in many organisms and shown to regulate gene expression. Similarly, NATs have also been observed in malaria parasites with most studies focused on Plasmodium falciparum. There were no reports on the presence of NATs in Plasmodium vivax, which h...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535868/ https://www.ncbi.nlm.nih.gov/pubmed/26484095 http://dx.doi.org/10.1016/j.gdata.2014.06.024 |
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author | Boopathi, P.A. Subudhi, Amit Kumar Garg, Shilpi Middha, Sheetal Acharya, Jyoti Pakalapati, Deepak Saxena, Vishal Aiyaz, Mohammed Chand, Bipin Mugasimangalam, Raja C. Kochar, Sanjay K. Sirohi, Parmendra Kochar, Dhanpat K. Das, Ashis |
author_facet | Boopathi, P.A. Subudhi, Amit Kumar Garg, Shilpi Middha, Sheetal Acharya, Jyoti Pakalapati, Deepak Saxena, Vishal Aiyaz, Mohammed Chand, Bipin Mugasimangalam, Raja C. Kochar, Sanjay K. Sirohi, Parmendra Kochar, Dhanpat K. Das, Ashis |
author_sort | Boopathi, P.A. |
collection | PubMed |
description | Natural antisense transcripts (NATs) have been detected in many organisms and shown to regulate gene expression. Similarly, NATs have also been observed in malaria parasites with most studies focused on Plasmodium falciparum. There were no reports on the presence of NATs in Plasmodium vivax, which has also been shown to cause severe malaria like P. falciparum, until a recent study published by us. To identify in vivo prevalence of antisense transcripts in P. vivax clinical isolates, we performed whole genome expression profiling using a custom designed strand-specific microarray that contains probes for both sense and antisense strands. Here we describe the experimental methods and analysis of the microarray data available in Gene Expression Omnibus (GEO) under GSE45165. Our data provides a resource for exploring the presence of antisense transcripts in P. vivax isolated from patients showing varying clinical symptoms. Related information about the description and interpretation of the data can be found in a recent publication by Boopathi and colleagues in Infection, Genetics and Evolution 2013. |
format | Online Article Text |
id | pubmed-4535868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-45358682015-10-19 Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray Boopathi, P.A. Subudhi, Amit Kumar Garg, Shilpi Middha, Sheetal Acharya, Jyoti Pakalapati, Deepak Saxena, Vishal Aiyaz, Mohammed Chand, Bipin Mugasimangalam, Raja C. Kochar, Sanjay K. Sirohi, Parmendra Kochar, Dhanpat K. Das, Ashis Genom Data Data in Brief Natural antisense transcripts (NATs) have been detected in many organisms and shown to regulate gene expression. Similarly, NATs have also been observed in malaria parasites with most studies focused on Plasmodium falciparum. There were no reports on the presence of NATs in Plasmodium vivax, which has also been shown to cause severe malaria like P. falciparum, until a recent study published by us. To identify in vivo prevalence of antisense transcripts in P. vivax clinical isolates, we performed whole genome expression profiling using a custom designed strand-specific microarray that contains probes for both sense and antisense strands. Here we describe the experimental methods and analysis of the microarray data available in Gene Expression Omnibus (GEO) under GSE45165. Our data provides a resource for exploring the presence of antisense transcripts in P. vivax isolated from patients showing varying clinical symptoms. Related information about the description and interpretation of the data can be found in a recent publication by Boopathi and colleagues in Infection, Genetics and Evolution 2013. Elsevier 2014-07-11 /pmc/articles/PMC4535868/ /pubmed/26484095 http://dx.doi.org/10.1016/j.gdata.2014.06.024 Text en © 2014 The Authors http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). |
spellingShingle | Data in Brief Boopathi, P.A. Subudhi, Amit Kumar Garg, Shilpi Middha, Sheetal Acharya, Jyoti Pakalapati, Deepak Saxena, Vishal Aiyaz, Mohammed Chand, Bipin Mugasimangalam, Raja C. Kochar, Sanjay K. Sirohi, Parmendra Kochar, Dhanpat K. Das, Ashis Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray |
title | Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray |
title_full | Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray |
title_fullStr | Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray |
title_full_unstemmed | Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray |
title_short | Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray |
title_sort | dataset of natural antisense transcripts in p. vivax clinical isolates derived using custom designed strand-specific microarray |
topic | Data in Brief |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535868/ https://www.ncbi.nlm.nih.gov/pubmed/26484095 http://dx.doi.org/10.1016/j.gdata.2014.06.024 |
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