Cao, X., Brouwers, J.F.H.M., van Dijk, L. et al. (6 more authors) (2020) Dataset of the phospholipidome and transcriptome of Campylobacter jejuni under different growth conditions. Data in Brief, 33. 106349. ISSN 2352-3409
Abstract
The membrane phospholipid composition is not a stable bacterial characteristic but can change in response to altered environmental conditions. Here we provide the dataset of the phospholipidome and transcriptome of the microaerophilic human pathogen Campylobacter jejuni under different environmental conditions. These data have been used in Cao (2020), The unique phospholipidome of the enteric pathogen C. jejuni: Lysolipids are required for motility at low oxygen availability. Here the abundance of each phospholipid is shown during the growth of C. jejuni for 0-108 h under low and high oxygen conditions (0.3 vs 10% O2). The phospholipid data were obtained by applying high performance liquid chromatography tandem-mass spectrometry (LC-MS/MS). The transcriptomic data obtained by RNA-seq show the differential expressed genes between logarithmic and stationary grown bacteria. In addition, our data might serve as a reference information for further in-depth investigation to understand the relation between specific phospholipids and the activity of membrane associated proteins.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Campylobacter jejuni; Phospholipidome; Phospholipids; Transcriptome; Growth phase; Oxygen concentration; LC-MS/MS; RNA-seq |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Molecular Biology and Biotechnology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Oct 2020 16:00 |
Last Modified: | 20 Oct 2020 16:00 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.dib.2020.106349 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166708 |