Dataset for transcriptome analysis of Salmonella enterica subsp. enterica serovar Typhimurium strain 14028S response to starvation

Salmonella enterica is an ubiquitous pathogen throughout the world causing gastroenteritis in humans and animals. Survival of pathogenic bacteria in the external environment may be associated with the ability to overcome the stress caused by starvation. The bacterial response to starvation is well u...

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Main Authors: Natalia E. Gogoleva, Vladimir Ya. Kataev, Alexander S. Balkin, Andrey O. Plotnikov, Elena I. Shagimardanova, Anastasia M. Subbot, Sergey V. Cherkasov, Yuri V. Gogolev
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920309021
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spelling doaj-ecd4c3afbfe04d538d2ada875f4d9d922020-11-25T03:44:59ZengElsevierData in Brief2352-34092020-08-0131106008Dataset for transcriptome analysis of Salmonella enterica subsp. enterica serovar Typhimurium strain 14028S response to starvationNatalia E. Gogoleva0Vladimir Ya. Kataev1Alexander S. Balkin2Andrey O. Plotnikov3Elena I. Shagimardanova4Anastasia M. Subbot5Sergey V. Cherkasov6Yuri V. Gogolev7Kazan Institute of Biochemistry and Biophysics, FRC Kazan Scientific Center of RAS, 2/31 Lobachevsky St., Kazan, 420111, Russian Federation; Institute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, 11 Pionerskaya St., Orenburg, 460000, Russian FederationInstitute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, 11 Pionerskaya St., Orenburg, 460000, Russian FederationInstitute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, 11 Pionerskaya St., Orenburg, 460000, Russian FederationInstitute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, 11 Pionerskaya St., Orenburg, 460000, Russian Federation; Corresponding author.Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, 18 Kremlyovskaya St., Kazan, 420111, Russian FederationResearch Institute of Eye Diseases, 11 Rossolimo St., Moscow, 119021, Russian FederationInstitute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, 11 Pionerskaya St., Orenburg, 460000, Russian FederationKazan Institute of Biochemistry and Biophysics, FRC Kazan Scientific Center of RAS, 2/31 Lobachevsky St., Kazan, 420111, Russian Federation; Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, 18 Kremlyovskaya St., Kazan, 420111, Russian FederationSalmonella enterica is an ubiquitous pathogen throughout the world causing gastroenteritis in humans and animals. Survival of pathogenic bacteria in the external environment may be associated with the ability to overcome the stress caused by starvation. The bacterial response to starvation is well understood in laboratory cultures with a sufficiently high cell density. However, bacterial populations often have a small size when facing this challenge in natural biotopes. The aim of this work was to find out if there are differences in the transcriptomes of S. enterica depending on the factor of cell density during starvation. Here we present transcriptome data of Salmonella enterica subsp. enterica serovar Typhimurium str. 14028S grown in carbon rich or carbon deficient medium with high or low cell density. These data will help identify genes involved in adaptation of low-density bacterial populations to starvation conditions.http://www.sciencedirect.com/science/article/pii/S2352340920309021Salmonella entericaStarvationLow-density populationRna-seqIllumina
collection DOAJ
language English
format Article
sources DOAJ
author Natalia E. Gogoleva
Vladimir Ya. Kataev
Alexander S. Balkin
Andrey O. Plotnikov
Elena I. Shagimardanova
Anastasia M. Subbot
Sergey V. Cherkasov
Yuri V. Gogolev
spellingShingle Natalia E. Gogoleva
Vladimir Ya. Kataev
Alexander S. Balkin
Andrey O. Plotnikov
Elena I. Shagimardanova
Anastasia M. Subbot
Sergey V. Cherkasov
Yuri V. Gogolev
Dataset for transcriptome analysis of Salmonella enterica subsp. enterica serovar Typhimurium strain 14028S response to starvation
Data in Brief
Salmonella enterica
Starvation
Low-density population
Rna-seq
Illumina
author_facet Natalia E. Gogoleva
Vladimir Ya. Kataev
Alexander S. Balkin
Andrey O. Plotnikov
Elena I. Shagimardanova
Anastasia M. Subbot
Sergey V. Cherkasov
Yuri V. Gogolev
author_sort Natalia E. Gogoleva
title Dataset for transcriptome analysis of Salmonella enterica subsp. enterica serovar Typhimurium strain 14028S response to starvation
title_short Dataset for transcriptome analysis of Salmonella enterica subsp. enterica serovar Typhimurium strain 14028S response to starvation
title_full Dataset for transcriptome analysis of Salmonella enterica subsp. enterica serovar Typhimurium strain 14028S response to starvation
title_fullStr Dataset for transcriptome analysis of Salmonella enterica subsp. enterica serovar Typhimurium strain 14028S response to starvation
title_full_unstemmed Dataset for transcriptome analysis of Salmonella enterica subsp. enterica serovar Typhimurium strain 14028S response to starvation
title_sort dataset for transcriptome analysis of salmonella enterica subsp. enterica serovar typhimurium strain 14028s response to starvation
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2020-08-01
description Salmonella enterica is an ubiquitous pathogen throughout the world causing gastroenteritis in humans and animals. Survival of pathogenic bacteria in the external environment may be associated with the ability to overcome the stress caused by starvation. The bacterial response to starvation is well understood in laboratory cultures with a sufficiently high cell density. However, bacterial populations often have a small size when facing this challenge in natural biotopes. The aim of this work was to find out if there are differences in the transcriptomes of S. enterica depending on the factor of cell density during starvation. Here we present transcriptome data of Salmonella enterica subsp. enterica serovar Typhimurium str. 14028S grown in carbon rich or carbon deficient medium with high or low cell density. These data will help identify genes involved in adaptation of low-density bacterial populations to starvation conditions.
topic Salmonella enterica
Starvation
Low-density population
Rna-seq
Illumina
url http://www.sciencedirect.com/science/article/pii/S2352340920309021
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