Evidence map›Paper›PMID 37870445›Full record

ArticleNucleic acids research2024

IMP: bridging the gap for medicinal plant genomics.

Tong Chen, Mei Yang, Guanghong Cui, Jinfu Tang, Ye Shen, Juan Liu, Yuan Yuan, Juan Guo, Luqi Huang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Tong ChenState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100000, China.ORCID 0000-0003-3134-3113
Mei YangState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100000, China.
Guanghong CuiState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100000, China.ORCID 0000-0001-6072-7867
Jinfu TangState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100000, China.
Ye ShenState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100000, China.
Juan LiuState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100000, China.ORCID 0000-0002-5319-6065
Yuan YuanState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100000, China.
Juan GuoState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100000, China.ORCID 0000-0002-1327-4428
Luqi HuangState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100000, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNTianjin University of Traditional Chinese Medicine · CN

Funding

Fundamental Research Funds for the Central Public Welfare Research Institutes ZZ13-YQ-095Key Project at Central Government Level: The Ability Establishment of Sustainable Use for Valuable Chinese Medicine Resources 2060302National Key R&D Program of China 2020YFA0908000Scientific and Technology Innovation Project of China Academy of Chinese Medical Sciences C12021A0411
6 · The paper itself

Abstract

Medicinal plants have garnered significant attention in ethnomedicine and traditional medicine due to their potential antitumor, anti-inflammatory and antioxidant properties. Recent advancements in genome sequencing and synthetic biology have revitalized interest in natural products. Despite the availability of sequenced genomes and transcriptomes of these plants, the absence of publicly accessible gene annotations and tabular formatted gene expression data has hindered their effective utilization. To address this pressing issue, we have developed IMP (Integrated Medicinal Plantomics), a freely accessible platform at https://www.bic.ac.cn/IMP. IMP curated a total of 8 565 672 genes for 84 high-quality genome assemblies, and 2156 transcriptome sequencing samples encompassing various organs, tissues, developmental stages and stimulations. With the integrated 10 analysis modules, users could simply examine gene annotations, sequences, functions, distributions and expressions in IMP in a one-stop mode. We firmly believe that IMP will play a vital role in enhancing the understanding of molecular metabolic pathways in medicinal plants or plants with medicinal benefits, thereby driving advancements in synthetic biology, and facilitating the exploration of natural sources for valuable chemical constituents like drug discovery and drug production.

Indexed as

Plants, MedicinalSoftwareTranscriptomeChromosome MappingGenomicsMolecular Sequence Annotation

Identifiers

PMID37870445
PMCPMC10767881
OpenAlexW4387865426

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.