Evidence map›Paper›PMID 39724366›Full record

ArticleRice (New York, N.Y.)2024

The Rice Online Expression Profiles Array Database Version 2 (ROADv2): An Interactive Atlas for Rice Functional Genomics.

Wonjae Hwang, Woo-Jong Hong, Eui-Jung Kim, Jihye Kim, Sunok Moon, Ki-Hong Jung

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Wonjae Hwang *Graduate School of Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Republic of Korea.
Woo-Jong Hong *Graduate School of Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Republic of Korea.
Eui-Jung KimGraduate School of Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Republic of Korea.
Jihye KimGraduate School of Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Republic of Korea.
Sunok MoonGraduate School of Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Republic of Korea.
Ki-Hong JungGraduate School of Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Republic of Korea. khjung2010@khu.ac.kr.

Funding

National Research Foundation of Korea 2021R1A5A1032428National Research Foundation of Korea 2021R1C1C2091377Rural Development Administration RS-2024-00322278
6 · The paper itself

Abstract

The Rice Online expression profiles Array Database version 2 (ROADv2; https://roadv2.khu.ac.kr ), an enhanced database for rice gene expression analysis, transitions from the previous microarray platforms to RNA-Seq data for improved accuracy. It encompasses 328 datasets from diverse experimental series, including anatomy, abiotic and biotic stress, hormone response, and nutrient starvation. Key updates include gene annotation (upgraded to RGAP version 7) and functional enrichment data (utilizing recent Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) versions). ROADv2 debuts protein-protein interaction (PPI) network analysis and broadens interactive visualization across all features. Gene expression data are segmented into anatomy, biotic, abiotic, nutrient, and hormone categories, with user-interactive heatmaps displaying normalized log2 expression and log2 fold change data. Coexpression correlation analysis identifies genes with similar patterns, visualized through interactive network graphs. Functional enrichment tools display GO and KEGG analyses with significant terms emphasized in various formats. PPI network analysis integrates coexpression data to enhance prediction accuracy. Validation studies affirm the database's reliability, demonstrating reproducible tissue/organ-specific expression patterns. ROADv2 provides a comprehensive resource for rice functional genomics studies.

Indexed as

Gene Ontology (GO) enrichmentKyoto Encyclopedia of Genes and Genomes (KEGG)Meta-expression analysisPredicted protein–protein interactionRice

Identifiers

PMID39724366
PMCPMC11671470

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.