Evidence map›Paper›PMID 31065108›Full record

ReviewNature reviews. Rheumatology2019

Single-cell technologies - studying rheumatic diseases one cell at a time.

Peggie Cheung, Purvesh Khatri, Paul J Utz, Alex J Kuo

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  10. A pulmonologist's guide to perform and analyse cross-species single lung cell transcriptomics.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
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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

4 authors at 2 institutions in 1 country.

Peggie CheungInstitute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Purvesh KhatriInstitute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-4143-4708
Paul J UtzInstitute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA. pjutz@stanford.edu.
Alex J KuoInstitute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA. alex0229@stanford.edu.ORCID http://orcid.org/0000-0003-4996-5578
Stanford Medicine · USStanford University · US

Funding

Training Program in Adult and Pediatric RheumatologyT32AR050942 · NIAMS · STANFORD UNIVERSITY · PI LEWIS, DAVID BRAM, ROBINSON, WILLIAM H · 2005 to 2025
$6.6M
Giant MagnetoResistive (GMR) Sensors for Measuring Influenza VaccineR01AI125197 · NIAID · STANFORD UNIVERSITY · PI UTZ, PAUL JOSEPH, WANG, SHAN X. · 2016 to 2021
$5.0M
Ultra-Fast Epigenomic Maps for Monitoring AutoimmunityU19AI110491 · NIAID · STANFORD UNIVERSITY · PI MAECKER, HOLDEN T. · 2014 to 2018
$3.6M
NIAID NIH HHS R01 AI125197NIAID NIH HHS U19 AI110491NIAMS NIH HHS T32 AR050942
6 · The paper itself

Abstract

Cells, the basic units of life, have striking differences at transcriptomic, proteomic and epigenomic levels across tissues, organs, organ systems and organisms. The coordination of individual immune cells is essential for the generation of effective immune responses to pathogens while immune tolerance is maintained to protect the host. In rheumatic diseases, when immune responses are dysregulated, pathologically important cells might represent only a small fraction of the immune system. Interrogation of the contributions of individual immune cells to pathogenesis and disease progression should therefore reveal important insights into the complicated aetiology of rheumatic diseases. Technological advances are enabling the high-dimensional dissection of single cells at multiple omics levels, which could facilitate the identification of dysregulated molecular mechanisms in patients with rheumatic diseases and the discovery of new therapeutic targets and biomarkers. The single-cell technologies that have been developed over the past decade and the experimental platforms that enable multi-omics integrative analyses have already made inroads into immunology-related fields of study and have potential for use in rheumatology. Layers of omics data derived from single cells are likely to fundamentally change our understanding of the molecular pathways that underpin the pathogenesis of rheumatic diseases.

Indexed as

Single-Cell AnalysisEpigenomicsGene Expression ProfilingHumansProteomicsRheumatic Diseases

Identifiers

PMID31065108
PMCPMC7051208
OpenAlexW2943941010

What OpenQuestion holds

Textmetadata
LicenceTDM
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.