Evidence map›Paper›PMID 33678213›Full record

ReviewParasitology2021

Application of single-cell transcriptomics to kinetoplastid research.

Emma M Briggs, Felix S L Warren, Keith R Matthews, Richard McCulloch, Thomas D Otto

Abstract readReview
In one paragraph

Review in Parasitology, 2021. 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
–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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. DNA Double-Strand Breaks: A Double-Edged Sword for Trypanosomatids.Frontiers in cell and developmental biology · 2021
    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.

Emma M BriggsInstitute for Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-6740-8882
Felix S L WarrenWellcome Centre for Integrative Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
Keith R MatthewsInstitute for Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
Richard McCullochWellcome Centre for Integrative Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
Thomas D OttoWellcome Centre for Integrative Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/N016165/1Medical Research Council MR/N013166/1Wellcome Trust 103740/Z/14/ZWellcome Trust 103740/Z14/ZWellcome Trust 104111/Z/14/ZWellcome Trust 204820/Z/16/ZWellcome Trust 218648/Z/19/Z
6 · The paper itself

Abstract

Kinetoplastid parasites are responsible for both human and animal diseases across the globe where they have a great impact on health and economic well-being. Many species and life cycle stages are difficult to study due to limitations in isolation and culture, as well as to their existence as heterogeneous populations in hosts and vectors. Single-cell transcriptomics (scRNA-seq) has the capacity to overcome many of these difficulties, and can be leveraged to disentangle heterogeneous populations, highlight genes crucial for propagation through the life cycle, and enable detailed analysis of host–parasite interactions. Here, we provide a review of studies that have applied scRNA-seq to protozoan parasites so far. In addition, we provide an overview of sample preparation and technology choice considerations when planning scRNA-seq experiments, as well as challenges faced when analysing the large amounts of data generated. Finally, we highlight areas of kinetoplastid research that could benefit from scRNA-seq technologies.

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisHost-Parasite InteractionsKinetoplastidaRNA-Seqbioinformaticsgene expressionkinetoplastidparasitologysingle-cell transcriptomics

Identifiers

PMID33678213
PMCPMC8311972

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.