Evidence map›Paper›PMID 19134210›Full record

ArticleBMC immunology2009

Immunome knowledge base (IKB): an integrated service for immunome research.

Csaba Ortutay, Mauno Vihinen

Open access · goldAbstract read
In one paragraph

Article in BMC immunology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 37 citations in OpenAlex.

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  6. Vaccines and Immunoinformatics for Vaccine Design.Advances in experimental medicine and biology · 2022
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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

2 authors at 1 institution in 1 country.

Csaba OrtutayInstitute of Medical Technology, FI-33014 University of Tampere, Finland. csaba.ortutay@uta.fi
Mauno Vihinen
Tampere University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFunctioning of the immune system requires the coordinated expression and action of many genes and proteins. With the emergence of high-throughput technologies, a great amount of molecular data is available for the genes and proteins of the immune system. However, these data are scattered into several databases and literature and therefore integration is needed. DESCRIPTION: The Immunome Knowledge Base (IKB) is a dedicated resource for immunological information. We identified and collected genes that are essential for the immunome. Nucleotide and protein sequences, as well as information about the related pseudogenes are available for 893 human essential immunome genes. To allow the study of the evolution of the immune system, data for the orthologs of human genes was collected. In addition to the human immunome, ortholog groups of 1811 metazoan immunity genes are available with information about the evidence of their immunity function. IKB combines three previous databases and several additional data items in an integrated system.

conclusionIKB provides in one single service access to several databases and resources and contains plenty of new data about immune system. The most recent addition is variation data on genomic, transcriptomic and proteomic levels for all the immunome genes and proteins. In the future, more data will be added on the function of these genes. The service has a free and public web interface.

Indexed as

Databases, GeneticAnimalsDatabase Management SystemsEvolution, MolecularGene Regulatory NetworksGenome, HumanHumansImmunityKnowledge BasesProteomicsTerminology as Topic

Identifiers

PMID19134210
PMCPMC2632617
OpenAlexW1992440691

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.