Evidence map›Paper›PMID 33273621›Full record

ArticleScientific reports2020

Single-cell RNA-seq reveals CD16

Anirudh Patir, Anton Gossner, Prakash Ramachandran, Joana Alves, Tom C Freeman, Neil C Henderson, Mick Watson, Musa A Hassan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  2. Article
  3. Review
  4. scDual-Seq ofFrontiers in immunology · 2023
    Article
  5. Article
  6. Secreted Effectors Modulating Immune Responses toLife (Basel, Switzerland) · 2021
    Review
  7. Review
  8. 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

8 authors at 4 institutions in 1 country.

Anirudh PatirDivision of Genetics and Genomics, The Roslin Institute, University of Edinburgh, Edinburgh, EH25 9RG, UK.
Anton GossnerDivision of Infection and Immunity, The Roslin Institute, University of Edinburgh, Edinburgh, EH25 9RG, UK.
Prakash RamachandranCentre for Inflammation Research, The Queen's Medical Research Institute, The University of Edinburgh, Edinburgh, EH16 4TJ, UK.
Joana AlvesDivision of Infection and Immunity, The Roslin Institute, University of Edinburgh, Edinburgh, EH25 9RG, UK.
Tom C FreemanDivision of Genetics and Genomics, The Roslin Institute, University of Edinburgh, Edinburgh, EH25 9RG, UK.
Neil C HendersonCentre for Inflammation Research, The Queen's Medical Research Institute, The University of Edinburgh, Edinburgh, EH16 4TJ, UK.
Mick WatsonDivision of Genetics and Genomics, The Roslin Institute, University of Edinburgh, Edinburgh, EH25 9RG, UK.
Musa A HassanDivision of Infection and Immunity, The Roslin Institute, University of Edinburgh, Edinburgh, EH25 9RG, UK. musa.hassan@roslin.ed.ac.uk.
University of Edinburgh · GBRoslin Institute · GBCentre for Inflammation Research · GBGenomics (United Kingdom) · GB

Funding

Bill & Melinda Gates Foundation OPP1127286Biotechnology and Biological Sciences Research CouncilWellcome Trust 201531/Z/16/Z
6 · The paper itself

Abstract

Monocytes are among the major myeloid cells that respond to Toxoplasma, a ubiquitous foodborne that infects ≥ 1 billion people worldwide, in human peripheral blood. As such, a molecular understanding of human monocyte-Toxoplasma interactions can expedite the development of novel human toxoplasmosis control strategies. Current molecular studies on monocyte-Toxoplasma interactions are based on average cell or parasite responses across bulk cell populations. Although informative, population-level averages of monocyte responses to Toxoplasma have sometimes produced contradictory results, such as whether CCL2 or IL12 define effective monocyte responses to the parasite. Here, we used single-cell dual RNA sequencing (scDual-Seq) to comprehensively define, for the first time, the monocyte and parasite transcriptional responses that underpin human monocyte-Toxoplasma encounters at the single cell level. We report extreme transcriptional variability between individual monocytes. Furthermore, we report that Toxoplasma-exposed and unexposed monocytes are transcriptionally distinguished by a reactive subset of CD14

Indexed as

TranscriptomeCells, CulturedHumansMonocytesReceptors, IgGRNA-SeqSingle-Cell AnalysisToxoplasmosisReceptors, IgG

Identifiers

PMID33273621
PMCPMC7713135
OpenAlexW3109872778

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.