Evidence map›Paper›PMID 35909744›Full record

ReviewFrontiers in plant science2022

Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds.

Xiaoyan Liu, Xun Gong, Yi Liu, Junlin Liu, Hantao Zhang, Sen Qiao, Gang Li, Min Tang

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. The gastrodin biosynthetic pathway inFrontiers in plant science · 2022
    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

8 authors.

Xiaoyan LiuSchool of Life Sciences, Jiangsu University, Zhenjiang, China.
Xun GongDepartment of Rheumatology and Immunology, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Yi LiuSchool of Life Sciences, Jiangsu University, Zhenjiang, China.
Junlin LiuSchool of Life Sciences, Jiangsu University, Zhenjiang, China.
Hantao ZhangSchool of Life Sciences, Jiangsu University, Zhenjiang, China.
Sen QiaoSchool of Life Sciences, Jiangsu University, Zhenjiang, China.
Gang LiDepartment of Vascular Surgery, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
Min TangSchool of Life Sciences, Jiangsu University, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Chinese Herbal Medicine (CHM) has been used worldwide in clinic to treat the vast majority of human diseases, and the healing effect is remarkable. However, the functional components and the corresponding pharmacological mechanism of the herbs are unclear. As one of the main means, the high-throughput sequencing (HTS) technologies have been employed to discover and parse the active ingredients of CHM. Moreover, a tremendous amount of effort is made to uncover the pharmacodynamic genes associated with the synthesis of active substances. Here, based on the genome-assembly and the downstream bioinformatics analysis, we present a comprehensive summary of the application of HTS on CHM for the synthesis pathways of active ingredients from two aspects: active ingredient properties and disease classification, which are important for pharmacological, herb molecular breeding, and synthetic biology studies.

Indexed as

bioactive compoundsChinese herbal medicinefunctional genesgenome assemblyhigh-throughput sequencing technologies

Identifiers

PMID35909744
PMCPMC9331165

What OpenQuestion holds

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Registered trials

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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.