Evidence map›Paper›PMID 30112021›Full record

ArticleExperimental and therapeutic medicine2018

Revisiting Connectivity Map from a gene co-expression network analysis.

Wei Liu, Wei Tu, Li Li, Yingfu Liu, Shaobo Wang, Ling Li, Huan Tao, Huaqin He

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 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. Review
  2. Article
  3. Network-based drug repurposing for schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  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

8 authors.

Wei LiuDepartment of Bioinformatics, School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Wei TuDepartment of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX 77843-1114, USA.
Li LiDepartment of Medical Informatics, Institute of Health Service and Medical Information, Academy of Military Medical Sciences, Beijing 100850, P.R. China.
Yingfu LiuDepartment of Cell Biology, Logistics University of Chinese Armed Police Forces, Tianjin 300309, P.R. China.
Shaobo WangDepartment of Bioinformatics, School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Ling LiDepartment of Bioinformatics, School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Huan TaoDepartment of Bioinformatics, School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Huaqin HeDepartment of Bioinformatics, School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Connectivity Map (CMap) is a tool that has been extensively utilized to study drug repositioning and side-effect prediction. However, most of these analyses rely on signature genes, ignoring the pathways by which those genes are regulated, as well as the functional overlap of redundant genes. The present study utilized a systems biology approach referred to as Weighted Gene Co-expression Network Analysis (WGCNA) to dissect the transcriptional profiles of CMap and reveal these hidden factors. Seven common modules associated with protein binding, extracellular matrix organization and translation were identified. Furthermore, drugs were clustered based on module expression to infer their mechanism of action (MoA) based on common activity profiles. As an extension of this, an example of disease-based module projection to identify novel drugs was provided. The analysis developed in the present study may provide a novel framework for drug repositioning or discovering MoAs.

Indexed as

Connectivity Mapdrug repositioningmechanism of actionweighted gene co-expression network analysis

Identifiers

PMID30112021
PMCPMC6090433

What OpenQuestion holds

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Registered trials

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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.