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SRX1640375: GSM2093286: ID-002932_MGB; Mus musculus; RNA-Seq
1 ILLUMINA (Illumina MiSeq) run: 991,268 spots, 147M bases, 61.7Mb downloads

Submitted by: NCBI (GEO)
Study: Single-cell RNA-seq reveals disparate macrophage responses to intracellular Salmonella
show Abstracthide Abstract
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
Sample: ID-002932_MGB
SAMN04566626 • SRS1346877 • All experiments • All runs
Organism: Mus musculus
Library:
Instrument: Illumina MiSeq
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: PAIRED
Construction protocol: Single-cell libraries were prepared as reported in Smartseq2 protocol (Picelli et al., 2013; Picelli et al., 2014) with some technical adaptation: 1µL of ERCC spike-Mix 1 (Life Technologies) diluted at 1:106 in RNAse-free water was added after cell sorting to the lysis buffer; template-switching oligo (TSO) was modified to add isomeric nucleotide at the 5’end to minimize background cDNA synthesis as previously described (Kapteyn et al., 2010) (5’-(iso-dC)(iso-dG)(iso-dC)AAGCAGTGGTATCAACGCAGAGTACATrGrG+G-3’, Eurogentec); after first strand synthesis primer-dimers were removed using 11 µL of Ampure XP beads (Beckman Coulter). After the cDNA amplification, libraries were quantified using Qubit Hs Assay (Life Technologies) and quality of libraries were checked using Bioanalyser (Agilent) Using the modified protocol described in (Patel et al., 2014), 1 ng of cDNA was subjected to tagmentation-based protocol (Nextera XT, Illumina) using ¼ of the recommended volumes, 10 min for tagmentation at 55°C and 1 min extension time during PCR. After PCR and cDNA purification, cDNA was purified and resuspended in 15 µL of elution buffer (EB) (Qiagen). Finally, libraries were pooled (16 libraries for Miseq sequencing and sequencing was performed in paired-end mode for 2 x 75 cycles using Illumina's MiSeq.
Experiment attributes:
GEO Accession: GSM2093286
Links:
Runs: 1 run, 991,268 spots, 147M bases, 61.7Mb
Run# of Spots# of BasesSizePublished
SRR3235744991,268147M61.7Mb2016-09-15

ID:
2359055

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