Datasets for next-generation sequencing of DNA and RNA from urine and plasma of patients with prostate cancer

Current prostate cancer (PCa) diagnostic tests suffer from insufficient sensitivity and specificity. Novel biomarkers that can be detected by minimally invasive methods are of a particular value. Here we provide two datasets. The first one is on the whole transcriptome profiling by RNA-seq of urine...

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Autores principales: Nikitina, A.S., Sharova, E.I., Danilenko, S.A., Selezneva, O.V., Butusova, T.B., Vasiliev, A.O., Govorov, A.V., Prilepskaya, E.A., Pushkar, D.Y., Kostryukova, E.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5175992/
https://www.ncbi.nlm.nih.gov/pubmed/28018951
http://dx.doi.org/10.1016/j.dib.2016.12.016
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author Nikitina, A.S.
Sharova, E.I.
Danilenko, S.A.
Selezneva, O.V.
Butusova, T.B.
Vasiliev, A.O.
Govorov, A.V.
Prilepskaya, E.A.
Pushkar, D.Y.
Kostryukova, E.S.
author_facet Nikitina, A.S.
Sharova, E.I.
Danilenko, S.A.
Selezneva, O.V.
Butusova, T.B.
Vasiliev, A.O.
Govorov, A.V.
Prilepskaya, E.A.
Pushkar, D.Y.
Kostryukova, E.S.
author_sort Nikitina, A.S.
collection PubMed
description Current prostate cancer (PCa) diagnostic tests suffer from insufficient sensitivity and specificity. Novel biomarkers that can be detected by minimally invasive methods are of a particular value. Here we provide two datasets. The first one is on the whole transcriptome profiling by RNA-seq of urine and plasma obtained from patients with PCa and benign prostatic hyperplasia (BPH). The second one represents targeted sequencing of DNA from urine and plasma of patients with PCa and BPH. Both datasets are available at NCBI Sequence Read Archive under Accession No. SRP093707 and No. SRP093842 respectively.
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spelling pubmed-51759922016-12-23 Datasets for next-generation sequencing of DNA and RNA from urine and plasma of patients with prostate cancer Nikitina, A.S. Sharova, E.I. Danilenko, S.A. Selezneva, O.V. Butusova, T.B. Vasiliev, A.O. Govorov, A.V. Prilepskaya, E.A. Pushkar, D.Y. Kostryukova, E.S. Data Brief Data Article Current prostate cancer (PCa) diagnostic tests suffer from insufficient sensitivity and specificity. Novel biomarkers that can be detected by minimally invasive methods are of a particular value. Here we provide two datasets. The first one is on the whole transcriptome profiling by RNA-seq of urine and plasma obtained from patients with PCa and benign prostatic hyperplasia (BPH). The second one represents targeted sequencing of DNA from urine and plasma of patients with PCa and BPH. Both datasets are available at NCBI Sequence Read Archive under Accession No. SRP093707 and No. SRP093842 respectively. Elsevier 2016-12-14 /pmc/articles/PMC5175992/ /pubmed/28018951 http://dx.doi.org/10.1016/j.dib.2016.12.016 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Nikitina, A.S.
Sharova, E.I.
Danilenko, S.A.
Selezneva, O.V.
Butusova, T.B.
Vasiliev, A.O.
Govorov, A.V.
Prilepskaya, E.A.
Pushkar, D.Y.
Kostryukova, E.S.
Datasets for next-generation sequencing of DNA and RNA from urine and plasma of patients with prostate cancer
title Datasets for next-generation sequencing of DNA and RNA from urine and plasma of patients with prostate cancer
title_full Datasets for next-generation sequencing of DNA and RNA from urine and plasma of patients with prostate cancer
title_fullStr Datasets for next-generation sequencing of DNA and RNA from urine and plasma of patients with prostate cancer
title_full_unstemmed Datasets for next-generation sequencing of DNA and RNA from urine and plasma of patients with prostate cancer
title_short Datasets for next-generation sequencing of DNA and RNA from urine and plasma of patients with prostate cancer
title_sort datasets for next-generation sequencing of dna and rna from urine and plasma of patients with prostate cancer
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5175992/
https://www.ncbi.nlm.nih.gov/pubmed/28018951
http://dx.doi.org/10.1016/j.dib.2016.12.016
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