Evidence map›Paper›PMID 39019974›Full record

ReviewNature protocols2024

Using clusterProfiler to characterize multiomics data.

Shuangbin Xu, Erqiang Hu, Yantong Cai, Zijing Xie, Xiao Luo, Li Zhan, Wenli Tang, Qianwen Wang, Bingdong Liu, Rui Wang and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 979 papers.

0numbers the graph read from it
0cells of the map it votes in
979citing 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

979 citing papers in PubMed.

  1. Trial
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  4. CXCL13-expressing CD4Oncoimmunology · 2026
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  5. Gut microbes · 2026
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  11. Single-cell and spatial transcriptomics identify a JUNB+ neutrophil subset enriched in immune-excluded regions of lung adenocarcinoma.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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919 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.

Shuangbin Xu *Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Erqiang Hu *Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Yantong Cai *Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.ORCID 0000-0003-2137-4979
Zijing Xie *Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Xiao Luo *Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Li ZhanDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Wenli TangDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Qianwen WangDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Bingdong LiuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Rui WangDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Wenqin XieDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Tianzhi WuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Liwei XieState Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Guangchuang YuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China. gcyu1@smu.edu.cn.ORCID 0000-0002-6485-8781

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32270677
6 · The paper itself

Abstract

With the advent of multiomics, software capable of multidimensional enrichment analysis has become increasingly crucial for uncovering gene set variations in biological processes and disease pathways. This is essential for elucidating disease mechanisms and identifying potential therapeutic targets. clusterProfiler stands out for its comprehensive utilization of databases and advanced visualization features. Importantly, clusterProfiler supports various biological knowledge, including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, through performing over-representation and gene set enrichment analyses. A key feature is that clusterProfiler allows users to choose from various graphical outputs to visualize results, enhancing interpretability. This protocol describes innovative ways in which clusterProfiler has been used for integrating metabolomics and metagenomics analyses, identifying and characterizing transcription factors under stress conditions, and annotating cells in single-cell studies. In all cases, the computational steps can be completed within ~2 min. clusterProfiler is released through the Bioconductor project and can be accessed via https://bioconductor.org/packages/clusterProfiler/ .

Indexed as

SoftwareComputational BiologyDatabases, GeneticGenomicsHumansMetabolomicsMetagenomicsMultiomics

Identifiers

What OpenQuestion holds

Textmetadata
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.