Evidence map›Paper›PMID 33414678›Full record

ReviewCurrent genomics2020

Single-cell RNA Sequencing in Immunology.

Yirui Cao, Yue Qiu, Guowei Tu, Cheng Yang

Open access · greenAbstract readReview
In one paragraph

Review in Current genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

20 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  17. DNA Methylation inChildren (Basel, Switzerland) · 2021
    Article
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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 1 institution in 1 country.

Yirui Cao1Department of Urology, Zhongshan Hospital, Fudan University; Shanghai Key Laboratory of Organ Transplantation, Shanghai200032, China; 2Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai200032, China; 3Fudan Zhangjiang Institute of Fudan University, Shanghai201203, China.
Yue Qiu1Department of Urology, Zhongshan Hospital, Fudan University; Shanghai Key Laboratory of Organ Transplantation, Shanghai200032, China; 2Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai200032, China; 3Fudan Zhangjiang Institute of Fudan University, Shanghai201203, China.
Guowei Tu1Department of Urology, Zhongshan Hospital, Fudan University; Shanghai Key Laboratory of Organ Transplantation, Shanghai200032, China; 2Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai200032, China; 3Fudan Zhangjiang Institute of Fudan University, Shanghai201203, China.
Cheng Yang1Department of Urology, Zhongshan Hospital, Fudan University; Shanghai Key Laboratory of Organ Transplantation, Shanghai200032, China; 2Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai200032, China; 3Fudan Zhangjiang Institute of Fudan University, Shanghai201203, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complex immune system is involved in multiple pathological processes. Single-cell RNA sequencing (scRNA-seq) is able to analyze complex cell mixtures correct to a single cell and single molecule, thus is qualified to analyze immune reactions in several diseases. In recent years, scRNA-seq has been applied in many researching fields and has presented many innovative results. In this review, we intend to provide an overview of single-cell RNA sequencing applications in immunology and a prospect of future directions.

Indexed as

autoimmune diseasecancerimmunologySingle-cell RNA sequencingtransplantationtumors

Identifiers

PMID33414678
PMCPMC7770633
OpenAlexW3094307622

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.