Evidence map›Paper›PMID 37940882›Full record

ArticleBMC genomics2023

Omic horizon expression: a database of gene expression based on RNA sequencing data.

Yuzhe Hu, Dong Xie, Xixi Li, Wenling Han, Yingyu Chen, Huiying Qi, Pingzhang Wang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Yuzhe HuDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), School of Basic Medical Sciences, Peking University Health Science Center, No. 38 Xueyuan Road, Beijing, 100191, China.
Dong XieSchool of Basic Medical Sciences, Peking University Health Science Center, No. 38 Xueyuan Road, Beijing, 100191, China.
Xixi LiDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), School of Basic Medical Sciences, Peking University Health Science Center, No. 38 Xueyuan Road, Beijing, 100191, China.
Wenling HanDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), School of Basic Medical Sciences, Peking University Health Science Center, No. 38 Xueyuan Road, Beijing, 100191, China.
Yingyu ChenDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), School of Basic Medical Sciences, Peking University Health Science Center, No. 38 Xueyuan Road, Beijing, 100191, China.
Huiying QiDepartment of Health informatics and Management, School of Health Humanities, Peking University Health Science Center, No. 38 Xueyuan Road, Beijing, 100191, China. qhy@bjmu.edu.cn.
Pingzhang WangDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), School of Basic Medical Sciences, Peking University Health Science Center, No. 38 Xueyuan Road, Beijing, 100191, China. wangpzh@bjmu.edu.cn.
Peking University · CN

Funding

National Natural Science Foundation of China 31972899
6 · The paper itself

Abstract

backgroundGene expression profiles have important significance for gene expression characteristics and further functional studies. More attention has been given to the expression databases in humans and mice, but less attention has been given to rats, while rat models also play an irreplaceable role in biomedical experiments.

resultsTo depict the rat gene expression profiles in mRNA expression levels, we analyzed over 2,700 RNA sequencing (RNA-Seq) samples from 48 tissues, 40 primary cell types and 25 cell lines; and then mapped them to the latest version of the rat genome reference, mRatBN7.2. Based on these datasets and reanalysis, we constructed a new database, the Omic Horizon Expression Database ( http://immudb.bjmu.edu.cn/expression.html ), which allows expressional profile query of over 25,000 rat genes based on non-redundant gene symbols. The database supports requests using gene symbols (or alias), Ensemble and Entrez gene IDs. Gene expression profiles can be queried in three categories: tissues, primary cells and cell lines. Application examples including expression profiling and comparison, as well as identification of novel rat genes, were illustrated to show the utility of the database.

conclusionsAs an omic resource, the Omic Horizon Expression Database provides horizons of gene expression profiles across various tissues and cells, which greatly facilitates the identification of rat genes as well as functional clues.

Indexed as

RNATranscriptomeAnimalsDatabases, FactualDatabases, GeneticGene Expression ProfilingGenomeHumansMiceRatsSequence Analysis, RNARNADatabaseGene expressionLilrb1Lilrb3Omic Horizon expressionRat

Identifiers

PMID37940882
PMCPMC10634139
OpenAlexW4388488546

What OpenQuestion holds

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LicenceCC BY
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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.