Evidence map›Paper›PMID 40360995›Full record

ArticleBMC plant biology2025

GEDG: gene expression database of grape.

Wen Sun, Siyu Chen, Lina Tan, Yanglin Liu, Xinyuan Zhang, Yan Xiang, Han Zheng, Hanwei Yan

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Wen Sun *Laboratory of Modern Biotechnology, School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei, China.
Siyu Chen *National Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.
Lina TanLaboratory of Modern Biotechnology, School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei, China.
Yanglin LiuLaboratory of Modern Biotechnology, School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei, China.
Xinyuan ZhangLaboratory of Modern Biotechnology, School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei, China.
Yan XiangLaboratory of Modern Biotechnology, School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei, China.
Han ZhengNational Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.
Hanwei YanLaboratory of Modern Biotechnology, School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei, China. hwyanahau@163.com.

Funding

The Science and Technology Project of Anhui Province 2022j11020010
6 · The paper itself

Abstract

backgroundGrapes are one of the oldest cultivated fruit species in the world, known for their high nutritional value. Grapes and grape products, including wine, are significant to many economies worldwide. Both abiotic and biotic stresses significantly impact the growth and reproduction of grapevines. RNA-Seq is a key tool for studying gene expression patterns under various conditions, such as stress responses, growth and developmental stages. In order to optimise the utilisation of these data for comprehensive research and analysis, and to enhance accessibility for users, we have developed a comprehensive database that provides gene expression profiles and traits in grapes. DESCRIPTION: We have developed the gene expression database for grapes (GEDG), an online resource that encompasses data on 9 types of abiotic (including heat, cold, hormones, light, climate, nitrogen, frozen) and biotic (disease and pests) stresses and different developmental stages. A total of 32 datasets were related to stress, 20 to growth and development, and one to chromosomal ploidy. The primary objective of GEDG is to expand and utilize transcriptome data to better understand stress responses in grapes. GEDG is the comprehensive database to integrate transcriptome and traits on grape.

conclusionThe Gene Expression Database of Grape (GEDG) was created to serve as a free resource platform for researchers, offering a comprehensive collection of genetic expression profiles for grape varieties based on RNA-seq data. The database is available at https://www.gedg-vitis.cn/index.html .

Indexed as

Databases, GeneticTranscriptomeVitisFruitGene Expression ProfilingGene Expression Regulation, PlantStress, PhysiologicalDatabaseGEDGGrapeRNA-seqStress

Identifiers

PMID40360995
PMCPMC12070773

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.