Evidence map›Paper›PMID 29547972›Full record

ReviewBriefings in functional genomics2018

The impact of single-cell RNA sequencing on understanding the functional organization of the immune system.

Peter Vegh, Muzlifah Haniffa

Abstract readReview
In one paragraph

Review in Briefings in functional genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. SiteCELL enablesiScience · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Evolution of Drug-ResistantFrontiers in microbiology · 2021
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Singling out Th2 cells in eosinophilic esophagitis.The Journal of clinical investigation · 2019
    Article
  12. Article
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

2 authors.

Peter VeghInstitute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK.
Muzlifah HaniffaDepartment of Dermatology, Newcastle upon Tyne NHS Foundation Trust, Newcastle upon Tyne, UK.

Funding

Department of HealthWellcome TrustWellcome Trust WT107931/Z/15/Z
6 · The paper itself

Abstract

Application of single-cell genomics technologies has revolutionized our approach to study the immune system. Unravelling the functional diversity of immune cells and their coordinated response is key to understanding immunity. Single-cell transcriptomics technologies provide high-dimensional assessment of the transcriptional states of immune cells and have been successfully applied to discover new immune cell types, reveal haematopoietic lineages, identify gene modules dictating immune responses and investigate lymphocyte antigen receptor diversity. In this review, we discuss the impact and applications of single-cell RNA sequencing technologies in immunology.

Indexed as

Gene Expression ProfilingSequence Analysis, RNASingle-Cell AnalysisAnimalsGenomicsHematopoiesisImmune SystemMiceNeoplasms

Identifiers

PMID29547972
PMCPMC6063276

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.