Evidence map›Paper›PMID 34850130›Full record

ArticleNucleic acids research2022

TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data.

Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Yuanfang Guan, Jianxin Wang

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. iScience · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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  10. RNA biology · 2023
    Article
  11. Article
  12. Article
  13. Using genome-wide expression compendia to study microorganisms.Computational and structural biotechnology journal · 2022
    Review
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

5 authors.

Cui-Xiang LinSchool of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, P.R. China.
Hong-Dong LiSchool of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, P.R. China.
Chao DengSchool of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, P.R. China.
Yuanfang GuanDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-8275-2852
Jianxin WangSchool of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, P.R. China.ORCID 0000-0003-1516-0480

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping gene interactions within tissues/cell types plays a crucial role in understanding the genetic basis of human physiology and disease. Tissue functional gene networks (FGNs) are essential models for mapping complex gene interactions. We present TissueNexus, a database of 49 human tissue/cell line FGNs constructed by integrating heterogeneous genomic data. We adopted an advanced machine learning approach for data integration because Bayesian classifiers, which is the main approach used for constructing existing tissue gene networks, cannot capture the interaction and nonlinearity of genomic features well. A total of 1,341 RNA-seq datasets containing 52,087 samples were integrated for all of these networks. Because the tissue label for RNA-seq data may be annotated with different names or be missing, we performed intensive hand-curation to improve quality. We further developed a user-friendly database for network search, visualization, and functional analysis. We illustrate the application of TissueNexus in prioritizing disease genes. The database is publicly available at https://www.diseaselinks.com/TissueNexus/.

Indexed as

Databases, GeneticRNA-SeqData CurationData ManagementGene Regulatory NetworksGenome, HumanHumansOrgan SpecificitySoftware

Identifiers

PMID34850130
PMCPMC8728275

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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.