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Dataset of dual RNA-seq mapping in visceral leishmaniasis: Inquiry on parasite transcripts in human blood transcriptome upon Leishmania infantum infection
This dataset is related to the article “Insight Into the Long Noncoding RNA and mRNA Coexpression Profile in the Human Blood Transcriptome Upon Leishmania infantum Infection” by S.R. Maruyama, C.A. Fuzo, A.E.R. Oliveira, L.A. Rogerio, N.T. Takamiya, G. Pessenda, E.V. de Melo, A.M. da Silva, A.R. Jes...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792721/ https://www.ncbi.nlm.nih.gov/pubmed/36582994 http://dx.doi.org/10.1016/j.dib.2022.108811 |
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author | Gomes, Ellen Rogerio, Luana Aparecida Takamiya, Nayore Tamie Torres, Caroline da Silva, João Santana Almeida, Roque Pacheco Maruyama, Sandra Regina |
author_facet | Gomes, Ellen Rogerio, Luana Aparecida Takamiya, Nayore Tamie Torres, Caroline da Silva, João Santana Almeida, Roque Pacheco Maruyama, Sandra Regina |
author_sort | Gomes, Ellen |
collection | PubMed |
description | This dataset is related to the article “Insight Into the Long Noncoding RNA and mRNA Coexpression Profile in the Human Blood Transcriptome Upon Leishmania infantum Infection” by S.R. Maruyama, C.A. Fuzo, A.E.R. Oliveira, L.A. Rogerio, N.T. Takamiya, G. Pessenda, E.V. de Melo, A.M. da Silva, A.R. Jesus, V. Carregaro, H.I. Nakaya, R.P. Almeida and J.S. da Silva. Frontiers in Immunology, 2022. Through the reuse of raw sequencing data, we generated original dataset by performing a dual RNA-seq mapping procedure to survey the parasite transcripts found in RNA-seq samples from blood of visceral leishmaniasis patients. Diseased patients with active infection displayed the highest number of reads mapped to L. infantum genome. Even after six months later of the treatment, when the patients were considered cured, parasite reads were still detected. Parasite reads were also detected in asymptomatic individuals. The original dual RNA-seq alignment read count data provided here can be further explored to evaluate either host or parasite transcripts. |
format | Online Article Text |
id | pubmed-9792721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97927212022-12-28 Dataset of dual RNA-seq mapping in visceral leishmaniasis: Inquiry on parasite transcripts in human blood transcriptome upon Leishmania infantum infection Gomes, Ellen Rogerio, Luana Aparecida Takamiya, Nayore Tamie Torres, Caroline da Silva, João Santana Almeida, Roque Pacheco Maruyama, Sandra Regina Data Brief Data Article This dataset is related to the article “Insight Into the Long Noncoding RNA and mRNA Coexpression Profile in the Human Blood Transcriptome Upon Leishmania infantum Infection” by S.R. Maruyama, C.A. Fuzo, A.E.R. Oliveira, L.A. Rogerio, N.T. Takamiya, G. Pessenda, E.V. de Melo, A.M. da Silva, A.R. Jesus, V. Carregaro, H.I. Nakaya, R.P. Almeida and J.S. da Silva. Frontiers in Immunology, 2022. Through the reuse of raw sequencing data, we generated original dataset by performing a dual RNA-seq mapping procedure to survey the parasite transcripts found in RNA-seq samples from blood of visceral leishmaniasis patients. Diseased patients with active infection displayed the highest number of reads mapped to L. infantum genome. Even after six months later of the treatment, when the patients were considered cured, parasite reads were still detected. Parasite reads were also detected in asymptomatic individuals. The original dual RNA-seq alignment read count data provided here can be further explored to evaluate either host or parasite transcripts. Elsevier 2022-12-08 /pmc/articles/PMC9792721/ /pubmed/36582994 http://dx.doi.org/10.1016/j.dib.2022.108811 Text en © 2022 The Author(s) https://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 Article Gomes, Ellen Rogerio, Luana Aparecida Takamiya, Nayore Tamie Torres, Caroline da Silva, João Santana Almeida, Roque Pacheco Maruyama, Sandra Regina Dataset of dual RNA-seq mapping in visceral leishmaniasis: Inquiry on parasite transcripts in human blood transcriptome upon Leishmania infantum infection |
title | Dataset of dual RNA-seq mapping in visceral leishmaniasis: Inquiry on parasite transcripts in human blood transcriptome upon Leishmania infantum infection |
title_full | Dataset of dual RNA-seq mapping in visceral leishmaniasis: Inquiry on parasite transcripts in human blood transcriptome upon Leishmania infantum infection |
title_fullStr | Dataset of dual RNA-seq mapping in visceral leishmaniasis: Inquiry on parasite transcripts in human blood transcriptome upon Leishmania infantum infection |
title_full_unstemmed | Dataset of dual RNA-seq mapping in visceral leishmaniasis: Inquiry on parasite transcripts in human blood transcriptome upon Leishmania infantum infection |
title_short | Dataset of dual RNA-seq mapping in visceral leishmaniasis: Inquiry on parasite transcripts in human blood transcriptome upon Leishmania infantum infection |
title_sort | dataset of dual rna-seq mapping in visceral leishmaniasis: inquiry on parasite transcripts in human blood transcriptome upon leishmania infantum infection |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792721/ https://www.ncbi.nlm.nih.gov/pubmed/36582994 http://dx.doi.org/10.1016/j.dib.2022.108811 |
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