RNA-Seq transcriptome data of human cells infected with influenza A/Puerto Rico/8/1934 (H1N1) virus

Human influenza remains a serious public health problem. This data article reports the transcriptome analysis data of human cell lines infected with influenza A/Puerto Rico/8/1934 (H1N1) virus. Mock-infected cells were included as controls. Human embryonic fibroblasts (MRC-5) and immortalized cell l...

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Main Authors: Evgenii Zhuravlev, Mariia Sergeeva, Sergey Malanin, Rinat Amirkhanov, Dmitriy Semenov, Tatiana Grigoryeva, Andrey Komissarov, Grigory Stepanov
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920314840
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spelling doaj-d110229e1c4140479793641dab0e4c322020-12-21T04:45:18ZengElsevierData in Brief2352-34092020-12-0133106604RNA-Seq transcriptome data of human cells infected with influenza A/Puerto Rico/8/1934 (H1N1) virusEvgenii Zhuravlev0Mariia Sergeeva1Sergey Malanin2Rinat Amirkhanov3Dmitriy Semenov4Tatiana Grigoryeva5Andrey Komissarov6Grigory Stepanov7Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; Corresponding authors.Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; Smorodintsev Research Institute of Influenza, Ministry of Health of the Russian Federation, St. Petersburg, RussiaInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, RussiaInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, RussiaInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, RussiaInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, RussiaInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; Smorodintsev Research Institute of Influenza, Ministry of Health of the Russian Federation, St. Petersburg, RussiaInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; Corresponding authors.Human influenza remains a serious public health problem. This data article reports the transcriptome analysis data of human cell lines infected with influenza A/Puerto Rico/8/1934 (H1N1) virus. Mock-infected cells were included as controls. Human embryonic fibroblasts (MRC-5) and immortalized cell lines (A549, HEK293FT, WI-38 VA-13) were selected for RNA sequencing using Illumina NextSeq500 platform. Raw data were applied to the bioinformatic pipeline, which includes quality control with FastQC and MultiQC, adapter and quality trimming with Cutadapt, filtering to the genome of influenza A with STAR, transcript quantification with Salmon tool (GRCh38_RefSeq_Transcripts). Differential expressed genes were identified using R package DESeq2 with FDR-adjusted p-value < 0.001 and absolute value of log2(FC) > 1. Lists of differentially expressed genes is provided. The raw and processed RNA-seq data presented in this article were deposited to the European Nucleotide Archive via the ArrayExpress partner repository with the dataset accession number E-MTAB-9511 .http://www.sciencedirect.com/science/article/pii/S2352340920314840RNA-seqInfluenza A virusH1N1Human cellsTranscriptome
collection DOAJ
language English
format Article
sources DOAJ
author Evgenii Zhuravlev
Mariia Sergeeva
Sergey Malanin
Rinat Amirkhanov
Dmitriy Semenov
Tatiana Grigoryeva
Andrey Komissarov
Grigory Stepanov
spellingShingle Evgenii Zhuravlev
Mariia Sergeeva
Sergey Malanin
Rinat Amirkhanov
Dmitriy Semenov
Tatiana Grigoryeva
Andrey Komissarov
Grigory Stepanov
RNA-Seq transcriptome data of human cells infected with influenza A/Puerto Rico/8/1934 (H1N1) virus
Data in Brief
RNA-seq
Influenza A virus
H1N1
Human cells
Transcriptome
author_facet Evgenii Zhuravlev
Mariia Sergeeva
Sergey Malanin
Rinat Amirkhanov
Dmitriy Semenov
Tatiana Grigoryeva
Andrey Komissarov
Grigory Stepanov
author_sort Evgenii Zhuravlev
title RNA-Seq transcriptome data of human cells infected with influenza A/Puerto Rico/8/1934 (H1N1) virus
title_short RNA-Seq transcriptome data of human cells infected with influenza A/Puerto Rico/8/1934 (H1N1) virus
title_full RNA-Seq transcriptome data of human cells infected with influenza A/Puerto Rico/8/1934 (H1N1) virus
title_fullStr RNA-Seq transcriptome data of human cells infected with influenza A/Puerto Rico/8/1934 (H1N1) virus
title_full_unstemmed RNA-Seq transcriptome data of human cells infected with influenza A/Puerto Rico/8/1934 (H1N1) virus
title_sort rna-seq transcriptome data of human cells infected with influenza a/puerto rico/8/1934 (h1n1) virus
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2020-12-01
description Human influenza remains a serious public health problem. This data article reports the transcriptome analysis data of human cell lines infected with influenza A/Puerto Rico/8/1934 (H1N1) virus. Mock-infected cells were included as controls. Human embryonic fibroblasts (MRC-5) and immortalized cell lines (A549, HEK293FT, WI-38 VA-13) were selected for RNA sequencing using Illumina NextSeq500 platform. Raw data were applied to the bioinformatic pipeline, which includes quality control with FastQC and MultiQC, adapter and quality trimming with Cutadapt, filtering to the genome of influenza A with STAR, transcript quantification with Salmon tool (GRCh38_RefSeq_Transcripts). Differential expressed genes were identified using R package DESeq2 with FDR-adjusted p-value < 0.001 and absolute value of log2(FC) > 1. Lists of differentially expressed genes is provided. The raw and processed RNA-seq data presented in this article were deposited to the European Nucleotide Archive via the ArrayExpress partner repository with the dataset accession number E-MTAB-9511 .
topic RNA-seq
Influenza A virus
H1N1
Human cells
Transcriptome
url http://www.sciencedirect.com/science/article/pii/S2352340920314840
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