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Series GSE79363 Query DataSets for GSE79363
Status Public on Sep 14, 2016
Title Single-cell RNA-seq reveals disparate macrophage responses to intracellular Salmonella
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Intracellular bacterial pathogens can exhibit large heterogeneity in growth rate inside host cells with major consequences for the infection outcome. If and how the host responds to this heterogeneity remains poorly understood. Here, we combined a fluorescent reporter of bacterial cell division with single-cell RNA-seq analysis to study the macrophage response to different intracellular states of the model pathogen Salmonella enterica serovar Typhimurium. The transcriptomes of individual infected macrophages revealed a spectrum of functional host response states to dividing and non-dividing bacteria. Intriguingly, macrophages harboring non-dividing Salmonella display hallmarks of the pro-inflammatory M1 polarization state and differ little from bystander cells, suggesting that non-dividing bacteria evade recognition by intracellular immune receptors. By contrast, macrophages containing dividing bacteria have turned into an anti-inflammatory, M2-like state, as if fast-growing intracellular Salmonella overcome host defense by reprogramming macrophage polarization. Additionally, our clustering approach reveals intermediate host functional states between these extremes. Altogether our data suggest that gene expression variability in infected host cells shapes different cellular environments, some of which may favor a growth arrest of Salmonella facilitating immune evasion and the establishment of a long-term niche; while others allow Salmonella to escape intracellular antimicrobial activity and proliferate.
 
Overall design 60 samples
 
Contributor(s) Saliba AE, Li L, Westermann AJ, Appenzeller S, Stapels DA, Schulte LN, Helaine S, Vogel J
Citation(s) 27841856
Submission date Mar 18, 2016
Last update date Apr 12, 2023
Contact name Silke Appenzeller
E-mail(s) silke.appenzeller@uni-wuerzburg.de
Organization name University Wuerzburg
Street address Schweinfurter Str. 28
City W├╝rzburg
ZIP/Postal code 97076
Country Germany
 
Platforms (1)
GPL16417 Illumina MiSeq (Mus musculus)
Samples (60)
GSM2093259 ID-002905_MNGB
GSM2093260 ID-002906_MNGB
GSM2093261 ID-002907_MNGB
Relations
BioProject PRJNA315617
SRA SRP071963

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
GSE79363_first_dataset_read_count.txt.gz 691.7 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Processed data are available on Series record
Raw data are available in SRA

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