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Series GSE79595 Query DataSets for GSE79595
Status Public on Aug 26, 2016
Title Time-resolved dual RNA-seq reveals extensive rewiring of lung epithelial and pneumococcal transcriptomes during early infection
Organisms Homo sapiens; Streptococcus pneumoniae D39
Experiment type Expression profiling by high throughput sequencing
Summary BACKGROUND:
Streptococcus pneumoniae, the pneumococcus, is the main etiological agent of pneumonia. Pneumococcal infection is initiated by bacterial adherence to lung epithelial cells. The exact transcriptional changes occurring in both host and microbe during infection are unknown. Here, we developed a time-resolved infection model of human lung alveolar epithelial cells by S. pneumoniae and assess the resulting transcriptome changes in both organisms simultaneously by using dual RNA-seq.

RESULTS:
Functional analysis of the time-resolved dual RNA-seq data identifies several features of pneumococcal infection. For instance, we show that the glutathione-dependent reactive oxygen detoxification pathway in epithelial cells is activated by reactive oxygen species produced by S. pneumoniae. Addition of the antioxidant resveratrol during infection abates this response. At the same time, pneumococci activate the competence regulon during co-incubation with lung epithelial cells. By comparing transcriptional changes between wild-type encapsulated and mutant unencapsulated pneumococci, we demonstrate that adherent pneumococci, but not free-floating bacteria, repress innate immune responses in epithelial cells including expression of the chemokine IL-8 and the production of antimicrobial peptides. We also show that pneumococci activate several sugar transporters in response to adherence to epithelial cells and demonstrate that this activation depends on host-derived mucins.

CONCLUSIONS:
We provide a dual-transcriptomics overview of early pneumococcal infection in a time-resolved manner, providing new insights into host-microbe interactions. To allow easy access to the data by the community, a web-based platform was developed ( http://dualrnaseq.molgenrug.nl ). Further database exploration may expand our understanding of epithelial-pneumococcal interaction, leading to novel antimicrobial strategies.
 
Overall design 5 time points are analysed (0, 30, 60, 120 and 240 minutes after infection). Each time point has two biological replicates except for the 240 mpi. Furthermore, each time point has two pneumococcal strains used to infect A549 cells, encapsulated and unencapsulated pneumococci. In total there are 18 samples.
cellular infection model, contains rRNA-depleted total RNA from A549 epithelial cells and D39 S. pneumoniae
Web link https://0-genomebiology-biomedcentral-com.brum.beds.ac.uk/articles/10.1186/s13059-016-1054-5
 
Contributor(s) Aprianto R, Slager J, Holsappel S, Veening J
Citation(s) 27678244
Submission date Mar 24, 2016
Last update date May 15, 2019
Contact name Rieza Aprianto
E-mail(s) R.Aprianto@rug.nl
Phone +31503632409
Organization name University of Groningen
Department Molecular Genetics Department
Lab Veening
Street address Nijenborg 7
City Groningen
State/province Groningen
ZIP/Postal code 9747AG
Country Netherlands
 
Platforms (1)
GPL21685 Illumina NextSeq 500 (Homo sapiens; Streptococcus pneumoniae D39)
Samples (18)
GSM2098854 04_WT_0
GSM2098855 05_WT_0
GSM2098856 06_CP_0
Relations
BioProject PRJNA316337
SRA SRP072326

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE79595_dualrnaseq_normalized_counts.xlsx 8.7 Mb (ftp)(http) XLSX
GSE79595_dualrnaseq_raw_counts.xlsx 7.5 Mb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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