Evidence map›Paper›PMID 38369008›Full record

ReviewMicrobes and infection

Unraveling the intricacies of host-pathogen interaction through single-cell genomics.

Emanuele Gioacchino, Koen Vandelannoote, Anthony A Ruberto, Jean Popovici, Tineke Cantaert

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Microbes and infection. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Emanuele GioacchinoImmunology Unit, Institut Pasteur du Cambodge, The Pasteur Network, Phnom Penh, Cambodia.
Koen VandelannooteBacterial Phylogenomics Group, Institut Pasteur du Cambodge, The Pasteur Network, Phnom Penh, Cambodia.
Anthony A RubertoCenter for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA, USA; Institute of Bioinformatics, University of Georgia, Athens, GA, USA.
Jean PopoviciMalaria Research Unit, Institut Pasteur du Cambodge, The Pasteur Network, Phnom Penh, Cambodia; Infectious Disease Epidemiology and Analytics, Institut Pasteur, Paris, France.
Tineke CantaertImmunology Unit, Institut Pasteur du Cambodge, The Pasteur Network, Phnom Penh, Cambodia. Electronic address: tcantaert@pasteur-kh.org.

Funding

Inter-regional study of transmission, adaptation and pathogenesis of viruses with pandemic potential in Southeast Asia and West/Central AfricaU01AI151758 · NIAID · INSTITUT PASTEUR · PI SAKUNTABHAI, ANAVAJ, SIMON-LORIERE, ETIENNE · 2020 to 2024
$6.7M
Lead optimization and target identification of drugs targeting hypnozoitesR01AI153290 · NIAID · UNIVERSITY OF GEORGIA · PI KYLE, DENNIS E, MANETSCH, ROMAN · 2020 to 2024
$3.3M
Comprehensive characterization of the genetic factors and the host immune response associated to protection from clinical Plasmodium vivax malariaR01AI175134 · NIAID · INSTITUT PASTEUR DU CAMBODGE · PI TINEKE CANTAERT, Jean POPOVICI · 2023 to 2026
$2.3M
NIAID NIH HHS R01 AI153290NIAID NIH HHS R01 AI175134NIAID NIH HHS U01 AI151758Wellcome Trust
6 · The paper itself

Abstract

Single-cell genomics provide researchers with tools to assess host-pathogen interactions at a resolution previously inaccessible. Transcriptome analysis, epigenome analysis, and immune profiling techniques allow for a better comprehension of the heterogeneity underlying both the host response and infectious agents. Here, we highlight technological advancements and data analysis workflows that increase our understanding of host-pathogen interactions at the single-cell level. We review various studies that have used these tools to better understand host-pathogen dynamics in a variety of infectious disease contexts, including viral, bacterial, and parasitic diseases. We conclude by discussing how single-cell genomics can advance our understanding of host-pathogen interactions.

Indexed as

GenomicsHost-Pathogen InteractionsSingle-Cell AnalysisAnimalsCommunicable DiseasesGene Expression ProfilingHumansHost-pathogen interactionInfectious disease biologySingle-cell genomicsSingle-cell RNA sequencing

Identifiers

PMID38369008
PMCPMC12685568

What OpenQuestion holds

Textmetadata
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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.