Evidence map›Paper›PMID 38262929›Full record

ArticleBMC genomics2024

ASAP: a platform for gene functional analysis in Angelica sinensis.

Silan Wu, Lingling Da, Qiaoqiao Xiao, Qi Pan, Jinqiang Zhang, Jiaotong Yang

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  4. Review
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.

Silan WuResource Institute for Chinese and Ethnic Materia MedicaGuizhou University of Traditional Chinese Medicine, Guizhou, 550025, China.
Lingling DaCollege of Life Science, Northwest Normal University, Lanzhou, China.
Qiaoqiao XiaoResource Institute for Chinese and Ethnic Materia MedicaGuizhou University of Traditional Chinese Medicine, Guizhou, 550025, China. xqqiao2021@163.com.
Qi PanResource Institute for Chinese and Ethnic Materia MedicaGuizhou University of Traditional Chinese Medicine, Guizhou, 550025, China.
Jinqiang ZhangResource Institute for Chinese and Ethnic Materia MedicaGuizhou University of Traditional Chinese Medicine, Guizhou, 550025, China.
Jiaotong YangResource Institute for Chinese and Ethnic Materia MedicaGuizhou University of Traditional Chinese Medicine, Guizhou, 550025, China. y_jiaotong@163.com.

Funding

Guizhou University of Traditional Chinese Medicine Undergraduate Innovation and Entrepreneurship Training Program Project [2021]72National Natural Science Foundation of China NO.32160139National Natural Science Foundation of China NO.32260140the Guizhou Provincial Science and Technology Projects ZK[2022]505the National and Provincial Scientific and Technological Innovation Talent Team of the Guizhou University of Traditional Chinese Medicine GZYTDHZ[2022]003the University Science and Technology Innovation Team of the Guizhou Provincial Department of Education [2023]071
6 · The paper itself

Abstract

backgroundAngelica sinensis (Danggui), a renowned medicinal orchid, has gained significant recognition for its therapeutic effects in treating a wide range of ailments. Genome information serves as a valuable resource, enabling researchers to gain a deeper understanding of gene function. In recent times, the availability of chromosome-level genomes for A. sinensis has opened up vast opportunities for exploring gene functionality. Integrating multiomics data can allow researchers to unravel the intricate mechanisms underlying gene function in A. sinensis and further enhance our knowledge of its medicinal properties.

resultsIn this study, we utilized genomic and transcriptomic data to construct a coexpression network for A. sinensis. To annotate genes, we aligned them with sequences from various databases, such as the NR, TAIR, trEMBL, UniProt, and SwissProt databases. For GO and KEGG annotations, we employed InterProScan and GhostKOALA software. Additionally, gene families were predicted using iTAK, HMMER, OrholoFinder, and KEGG annotation. To facilitate gene functional analysis in A. sinensis, we developed a comprehensive platform that integrates genomic and transcriptomic data with processed functional annotations. The platform includes several tools, such as BLAST, GSEA, Heatmap, JBrowse, and Sequence Extraction. This integrated resource and approach will enable researchers to explore the functional aspects of genes in A. sinensis more effectively.

conclusionWe developed a platform, named ASAP, to facilitate gene functional analysis in A. sinensis. ASAP ( www.gzybioinformatics.cn/ASAP ) offers a comprehensive collection of genome data, transcriptome resources, and analysis tools. This platform serves as a valuable resource for researchers conducting gene functional research in their projects, providing them with the necessary data and tools to enhance their studies.

Indexed as

Angelica sinensisDatabases, ProteinGene Expression ProfilingGenetic ResearchGenomicsAnalysis toolsAngelica sinensisFunctional annotationPlatform

Identifiers

PMID38262929
PMCPMC10804808

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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.