Evidence map›Paper›PMID 34557778›Full record

ArticleInnovation (Cambridge (Mass.))2021

clusterProfiler 4.0: A universal enrichment tool for interpreting omics data.

Tianzhi Wu, Erqiang Hu, Shuangbin Xu, Meijun Chen, Pingfan Guo, Zehan Dai, Tingze Feng, Lang Zhou, Wenli Tang, Li Zhan and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07527247 (Using AS01 Adjuvant to Improve Immune Response in Older Adults Through Trained Immunity), which is not on this map. Cited by 9,809 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9,809citing papers in PubMed, 1 pooled it
–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.

NCT07527247 phase2recruitingnot on this mapstarted 2025, after this paper: background citation

Using AS01 Adjuvant to Improve Immune Response in Older Adults Through Trained Immunity

TypeinterventionalSponsorSingapore General HospitalRan2025 to 2029Enrolled40ConditionsImmune System Responses and Trained Immunity After AS01 Administration, Healthy AdultArmsAS01 adjuvant (0.5 mL intramuscular), YF17D (Stamaril, Sanofi-Pasteur), Placebo (NaCl 09%, 0.5mL)
3 · Its place in the literature

Who cites it

9,809 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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9,749 more citing papers are in PubMed but not listed here.

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

14 authors.

Tianzhi WuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Erqiang HuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Shuangbin XuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Meijun ChenDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Pingfan GuoDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Zehan DaiDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Tingze FengDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Lang ZhouDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Wenli TangDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Li ZhanDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Xiaocong FuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Shanshan LiuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Xiaochen BoDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
Guangchuang YuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional enrichment analysis is pivotal for interpreting high-throughput omics data in life science. It is crucial for this type of tool to use the latest annotation databases for as many organisms as possible. To meet these requirements, we present here an updated version of our popular Bioconductor package, clusterProfiler 4.0. This package has been enhanced considerably compared with its original version published 9 years ago. The new version provides a universal interface for functional enrichment analysis in thousands of organisms based on internally supported ontologies and pathways as well as annotation data provided by users or derived from online databases. It also extends the

Indexed as

biological knowledge miningclusterProfilerenrichment analysisfunctional analysisvisualization

Identifiers

PMID34557778
PMCPMC8454663

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.