Evidence map›Paper›PMID 21106488›Full record

ArticleHuman genomics2010

Evolutionary divergence and functions of the human interleukin (IL) gene family.

Chad Brocker, David Thompson, Akiko Matsumoto, Daniel W Nebert, Vasilis Vasiliou

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 4 pooled it
1.3field-weighted citation impact, top 20% 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

165 citing papers in PubMed, 4 syntheses or guidelines pooled it, 358 citations in OpenAlex.

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105 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

5 authors at 2 institutions in 1 country.

Chad BrockerMolecular Toxicology and Environmental Health Sciences Program, Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO 80045, USA.
David Thompson
Akiko Matsumoto
Daniel W Nebert
Vasilis Vasiliou
University of Colorado Denver · USUniversity of Cincinnati Medical Center · US

Funding

REPRODUCTIVE AND DEVELOPMENTAL TOXICOLOGY RESEARCHP30ES006096 · NIEHS · UNIVERSITY OF CINCINNATI · PI PINNEY, SUSAN MENGEL · 1992 to 2022
$35.4M
Novel Role of Corneal Crystallins as Modulators of Cell Growth and TransparencyR01EY017963 · NEI · YALE UNIVERSITY · PI VASILIOU, VASILIS · 2007 to 2019
$3.7M
Role of Mitochondrial Aldehyde Dehydrogenases in Ethanol Metabolism and ToxicityR21AA017754 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI VASILIOU, VASILIS · 2009 to 2010
$411k
Role of ALDH7A1 in Ethanol-Induced Oxidative DamageF31AA018248 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI BROCKER, CHAD NICHOLAS · 2010 to 2011
$52k
NEI NIH HHS R01 EY017963NEI NIH HHS R01 EY17963NIAAA NIH HHS F31 AA018248NIAAA NIH HHS R21 AA017754NIEHS NIH HHS P30 ES006096NIEHS NIH HHS P30 ES06096
6 · The paper itself

Abstract

Cytokines play a very important role in nearly all aspects of inflammation and immunity. The term 'interleukin' (IL) has been used to describe a group of cytokines with complex immunomodulatory functions - including cell proliferation, maturation, migration and adhesion. These cytokines also play an important role in immune cell differentiation and activation. Determining the exact function of a particular cytokine is complicated by the influence of the producing cell type, the responding cell type and the phase of the immune response. ILs can also have pro- and anti-inflammatory effects, further complicating their characterisation. These molecules are under constant pressure to evolve due to continual competition between the host's immune system and infecting organisms; as such, ILs have undergone significant evolution. This has resulted in little amino acid conservation between orthologous proteins, which further complicates the gene family organisation. Within the literature there are a number of overlapping nomenclature and classification systems derived from biological function, receptor-binding properties and originating cell type. Determining evolutionary relationships between ILs therefore can be confusing. More recently, crystallographic data and the identification of common structural motifs have led to a more accurate classification system. To date, the known ILs can be divided into four major groups based on distinguishing structural features. These groups include the genes encoding the IL1-like cytokines, the class I helical cytokines (IL4-like, γ-chain and IL6/12-like), the class II helical cytokines (IL10-like and IL28-like) and the IL17-like cytokines. In addition, there are a number of ILs that do not fit into any of the above groups, due either to their unique structural features or lack of structural information. This suggests that the gene family organisation may be subject to further change in the near future.

Indexed as

Evolution, MolecularProtein ConformationCluster AnalysisCytokinesHumansInterleukinsMultigene FamilyPhylogenyTerminology as TopicCytokinesInterleukins

Identifiers

PMID21106488
PMCPMC3390169
OpenAlexW2127751957

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.