Evidence map›Paper›PMID 37920467›Full record

ArticleFrontiers in immunology2023

Single cell transcriptomics reveals cell type specific features of developmentally regulated responses to lipopolysaccharide between birth and 5 years.

James F Read, Michael Serralha, Jesse D Armitage, Muhammad Munir Iqbal, Mark N Cruickshank, Alka Saxena, Deborah H Strickland, Jason Waithman, Patrick G Holt, Anthony Bosco

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

James F ReadAsthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, United States.
Michael SerralhaTelethon Kids Institute, The University of Western Australia, Perth, WA, Australia.
Jesse D ArmitageTelethon Kids Institute, The University of Western Australia, Perth, WA, Australia.
Muhammad Munir IqbalGenomics WA, Joint Initiative of Telethon Kids Institute, Harry Perkins Institute of Medical Research and The University of Western Australia, Nedlands, WA, Australia.
Mark N CruickshankSchool of Biomedical Sciences, The University of Western Australia, Nedlands, Western Australia, Australia.
Alka SaxenaGenomics WA, Joint Initiative of Telethon Kids Institute, Harry Perkins Institute of Medical Research and The University of Western Australia, Nedlands, WA, Australia.
Deborah H StricklandTelethon Kids Institute, The University of Western Australia, Perth, WA, Australia.
Jason WaithmanSchool of Biomedical Sciences, The University of Western Australia, Nedlands, Western Australia, Australia.
Patrick G HoltTelethon Kids Institute, The University of Western Australia, Perth, WA, Australia.
Anthony BoscoAsthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, United States.
The University of Western Australia · AUThe Kids Research Institute Australia · AUUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Human perinatal life is characterized by a period of extraordinary change during which newborns encounter abundant environmental stimuli and exposure to potential pathogens. To meet such challenges, the neonatal immune system is equipped with unique functional characteristics that adapt to changing conditions as development progresses across the early years of life, but the molecular characteristics of such adaptations remain poorly understood. The application of single cell genomics to birth cohorts provides an opportunity to investigate changes in gene expression programs elicited downstream of innate immune activation across early life at unprecedented resolution. Methods: In this study, we performed single cell RNA-sequencing of mononuclear cells collected from matched birth cord blood and 5-year peripheral blood samples following stimulation (18hrs) with two well-characterized innate stimuli; lipopolysaccharide (LPS) and Polyinosinic:polycytidylic acid (Poly(I:C)). Results: We found that the transcriptional response to LPS was constrained at birth and predominantly partitioned into classical proinflammatory gene upregulation primarily by monocytes and Interferon (IFN)-signaling gene upregulation by lymphocytes. Moreover, these responses featured substantial cell-to-cell communication which appeared markedly strengthened between birth and 5 years. In contrast, stimulation with Poly(I:C) induced a robust IFN-signalling response across all cell types identified at birth and 5 years. Analysis of gene regulatory networks revealed IRF1 and STAT1 were key drivers of the LPS-induced IFN-signaling response in lymphocytes with a potential developmental role for IRF7 regulation. Conclusion: Additionally, we observed distinct activation trajectory endpoints for monocytes derived from LPS-treated cord and 5-year blood, which was not apparent among Poly(I:C)-induced monocytes. Taken together, our findings provide new insight into the gene regulatory landscape of immune cell function between birth and 5 years and point to regulatory mechanisms relevant to future investigation of infection susceptibility in early life.

Indexed as

LipopolysaccharidesTranscriptomeGene Expression RegulationHumansInfant, NewbornMonocytesPoly I-CSignal TransductionLipopolysaccharidesPoly I-Ccord bloodinterferonlipopolysaccharidepoly(I:C)proinflammatoryscRNA-Seqsingle cell genomicstoll-like receptors

Identifiers

PMID37920467
PMCPMC10619903
OpenAlexW4387704408

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.