Evidence map›Paper›PMID 41651869›Full record

ArticleScientific data2026

Metabolomic and Transcriptomic Profiling of Two Closely Related Species within the Genus Oldenlandia.

Pengyu Chen, Zhuang Huang, Yuxin Wen, Qi Jiang, Ping Huang, Rui Qian, Xing Hong, Kaojiang Zhu, Benjiang Xiao, Meng Chen and 3 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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
–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

1 citing paper in PubMed.

  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

13 authors.

Pengyu Chen *Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China. 851086861@qq.com.
Zhuang Huang *Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Yuxin WenFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Qi JiangFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Ping HuangKey Laboratory of Traditional Chinese Medicine Resources and Chemistry of Hubei Province, Wuhan, 430065, China.
Rui QianFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Xing HongFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Kaojiang ZhuFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Benjiang XiaoFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Meng ChenFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Shihao LiFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Fang HuangKey Laboratory of Traditional Chinese Medicine Resources and Chemistry of Hubei Province, Wuhan, 430065, China.
Lintao HanKey Laboratory of Traditional Chinese Medicine Resources and Chemistry of Hubei Province, Wuhan, 430065, China. hanlintao@hbucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genus Oldenlandia encompasses numerous medicinal plants with significant pharmacological potential, yet their tissue-specific metabolic pathways and transcriptional profiles remain understudied. This study combined transcriptomic and metabolomic analyses to compare the differences in five tissues (roots, stems, leaves, flowers, and fruits) between two closely related Oldenlandia species, Oldenlandia diffusa and Oldenlandia corymbosa. Using a widely targeted metabolomics approach based on UPLC-MS/MS, we monitored 1,343 metabolites across 60 samples from the two species. Transcriptome sequencing generated 272.12 Gb and 257.03 Gb of clean data for Oldenlandia diffusa and Oldenlandia corymbosa, respectively, along with 37,644 and 20,825 annotated genes. Comparative analysis revealed numerous differentially expressed genes, whose diverse functions were elucidated through GO enrichment. This comprehensive dataset provides a valuable resource for further investigating the phenotypic traits and metabolic mechanisms underlying the pharmacological activities of these medicinally important Oldenlandia species.

Indexed as

Gene Expression ProfilingMetabolomeMetabolomicsOldenlandiaTranscriptome

Identifiers

PMID41651869
PMCPMC12992677

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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.