Evidence map›Paper›PMID 32251450›Full record

ArticlePLoS pathogens2020

Integrating GWAS with bulk and single-cell RNA-sequencing reveals a role for LY86 in the anti-Candida host response.

Dylan H de Vries, Vasiliki Matzaraki, Olivier B Bakker, Harm Brugge, Harm-Jan Westra, Mihai G Netea, Lude Franke, Vinod Kumar, Monique G P van der Wijst

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.5field-weighted citation impact, top 21% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

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  8. Methods and Insights from Single-Cell Expression Quantitative Trait Loci.Annual review of genomics and human genetics · 2023
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  16. The Known Unknowns of the Immune Response toJournal of fungi (Basel, Switzerland) · 2021
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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

9 authors at 2 institutions in 2 countries.

Dylan H de VriesDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-0953-0257
Vasiliki MatzarakiDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-5852-6801
Olivier B BakkerDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-1447-1327
Harm BruggeDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Harm-Jan WestraDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0001-7038-567X
Mihai G NeteaDepartment of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, the Netherlands.
Lude FrankeDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Vinod KumarDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Monique G P van der WijstDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0003-1520-3970
University Medical Center Groningen · NLRadboud University Nijmegen · NL

Funding

European Research Council 637640
6 · The paper itself

Abstract

Candida bloodstream infection, i.e. candidemia, is the most frequently encountered life-threatening fungal infection worldwide, with mortality rates up to almost 50%. In the majority of candidemia cases, Candida albicans is responsible. Worryingly, a global increase in the number of patients who are susceptible to infection (e.g. immunocompromised patients), has led to a rise in the incidence of candidemia in the last few decades. Therefore, a better understanding of the anti-Candida host response is essential to overcome this poor prognosis and to lower disease incidence. Here, we integrated genome-wide association studies with bulk and single-cell transcriptomic analyses of immune cells stimulated with Candida albicans to further our understanding of the anti-Candida host response. We show that differential expression analysis upon Candida stimulation in single-cell expression data can reveal the important cell types involved in the host response against Candida. This confirmed the known major role of monocytes, but more interestingly, also uncovered an important role for NK cells. Moreover, combining the power of bulk RNA-seq with the high resolution of single-cell RNA-seq data led to the identification of 27 Candida-response QTLs and revealed the cell types potentially involved herein. Integration of these response QTLs with a GWAS on candidemia susceptibility uncovered a potential new role for LY86 in candidemia susceptibility. Finally, experimental follow-up confirmed that LY86 knockdown results in reduced monocyte migration towards the chemokine MCP-1, thereby implying that this reduced migration may underlie the increased susceptibility to candidemia. Altogether, our integrative systems genetics approach identifies previously unknown mechanisms underlying the immune response to Candida infection.

Indexed as

Antigens, SurfaceCandida albicansCandidemiaCandidiasisCohort StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansKiller Cells, NaturalSequence Analysis, RNASingle-Cell AnalysisAntigens, SurfaceLY86 protein, human

Identifiers

PMID32251450
PMCPMC7173933
OpenAlexW3014260633

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.