2022
DOI: 10.1101/2022.11.29.518316
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Single-Cell Epitope-Transcriptomics Reveal Lung Stromal and Immune Cell Response Kinetics to Nanoparticle delivered RIG-I and TLR4 Agonists

Abstract: Lung-resident and circulatory lymphoid, myeloid, and stromal cells, expressing various pattern recognition receptors (PRRs), detect pathogen and danger-associated molecular patterns (PAMPs/DAMPs), and defend against respiratory pathogens and injuries. Here, we report the early responses of murine lungs to nanoparticle-delivered PAMPs, specifically the RIG-I agonist poly-U/UC (PUUC), with or without the TLR4 agonist monophosphoryl lipid A (MPLA). Using cellular indexing of transcriptomes and epitopes by sequenc… Show more

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Cited by 1 publication
(2 citation statements)
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“…Volcano plots were used to identify differentially expressed genes (DEG) between various treatment groups comparing the log2 fold differences. DEGs were identified as genes with at least 0.5/−0.5 log2 fold differences and an unadjusted p ‐value <0.05 41,42 . p values for NanoString data were obtained from nSolver software using a minimum count of 50 as a cutoff 40 .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Volcano plots were used to identify differentially expressed genes (DEG) between various treatment groups comparing the log2 fold differences. DEGs were identified as genes with at least 0.5/−0.5 log2 fold differences and an unadjusted p ‐value <0.05 41,42 . p values for NanoString data were obtained from nSolver software using a minimum count of 50 as a cutoff 40 .…”
Section: Resultsmentioning
confidence: 99%
“…DEGs were identified as genes with at least 0.5/À0.5 log2 fold differences and an unadjusted p-value <0.05. 41,42 p values for NanoString data were obtained from nSolver software using a minimum count of 50 as a cutoff. 40 A total of 134 genes met the inclusion criteria and we identified 92 DEGs for LPS versus no LPS treatment (NT), 7 DEGs for iNP (+LPS) versus LPS, 9 DEGs for iNP-SAHA (+LPS) versus LPS, and 4 DEG for iNP-SAHA (+LPS) versus iNP (+LPS).…”
Section: Inp-saha Modulates Gene Expression Profiles In Bmmøsmentioning
confidence: 99%