Evidence map›Paper›PMID 32462012›Full record

ArticleBioMed research international2020

Gene Coexpression Network and Module Analysis across 52 Human Tissues.

Binsheng He, Junlin Xu, Yingxiang Tian, Bo Liao, Jidong Lang, Huixin Lin, Xiaofei Mo, Qingqing Lu, Geng Tian, Pingping Bing

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

23 citing papers in PubMed, 23 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Binsheng HeAcademician Workstation, Changsha Medical University, Changsha 410219, China.ORCID https://orcid.org/0000-0002-2232-4634
Junlin XuCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, China.
Yingxiang TianCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, China.
Bo LiaoSchool of Mathematics and Statistics, Hainan Normal University, Haikou 570100, China.ORCID https://orcid.org/0000-0002-3383-5691
Jidong LangGeneis Beijing Co., Ltd., Beijing 100102, China.
Huixin LinGeneis Beijing Co., Ltd., Beijing 100102, China.
Xiaofei MoGeneis Beijing Co., Ltd., Beijing 100102, China.
Qingqing LuGeneis Beijing Co., Ltd., Beijing 100102, China.ORCID https://orcid.org/0000-0001-8963-0751
Geng TianGeneis Beijing Co., Ltd., Beijing 100102, China.ORCID https://orcid.org/0000-0002-6488-0022
Pingping BingAcademician Workstation, Changsha Medical University, Changsha 410219, China.ORCID https://orcid.org/0000-0001-6956-2819
Cipher Gene (China) · CNChangsha Medical University · CNHunan University · CNHainan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene coexpression analysis is widely used to infer gene modules associated with diseases and other clinical traits. However, a systematic view and comparison of gene coexpression networks and modules across a cohort of tissues are more or less ignored. In this study, we first construct gene coexpression networks and modules of 52 GTEx tissues and cell lines. The network modules are enriched in many tissue-common functions like organelle membrane and tissue-specific functions. We then study the correlation of tissues from the network point of view. As a result, the network modules of most tissues are significantly correlated, indicating a general similar network pattern across tissues. However, the level of similarity among the tissues is different. The tissues closing in a physical location seem to be more similar in their coexpression networks. For example, the two adjacent tissues fallopian tube and bladder have the highest Fisher's exact test

Indexed as

Cluster AnalysisGene Expression RegulationGene Regulatory NetworksAdipose TissueBrainFemaleGene Expression ProfilingGene OntologyHumansKidneyLiverLungUterus

Identifiers

PMID32462012
PMCPMC7232734
OpenAlexW3022047066

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.