Evidence map›Paper›PMID 31270436›Full record

ArticleScientific reports2019

iTRAQ-based quantitative proteomic analysis of salt stress in Spica Prunellae.

Zixiu Liu, Lisi Zou, Cuihua Chen, Hui Zhao, Ying Yan, Chengcheng Wang, Xunhong Liu

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

13 citing papers in PubMed.

  1. Article
  2. Plant stress and proteomics in medicinal plants.Frontiers in plant science · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Salt stress proteins in plants: An overview.Frontiers in plant science · 2022
    Review
  11. Article
  12. Article
  13. 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

7 authors.

Zixiu LiuCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Lisi ZouCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Cuihua ChenCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.ORCID http://orcid.org/0000-0001-7722-2160
Hui ZhaoCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Ying YanCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Chengcheng WangCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Xunhong LiuCollege of pharmacy, Nanjing University of Chinese Medicine, Nanjing, China. liuxunh1959@sohu.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spica Prunellae is an important Chinese herbal medicine. Because of its good curative effect on various diseases, this herb is consumed in large quantities in clinical applications. The metabolites of Spica Prunellae are known to change under salt stress; however, the difference in protein levels of Spica Prunellae between saline and normal conditions is unclear. In this study, we used proteomics techniques to identify differentially expressed proteins in Spica Prunellae under different saline conditions. (iTRAQ) MS/MS was used to detect statistically significant changes in protein between salt stress and normal conditions. Ultimately, we detected 1,937 proteins, 89 of which were detected in two different comparison. Based on GO, STRING and KEGG analyses, 35 significantly differentially expressed proteins were selected for further analysis. The results of functional and signal pathway analyses indicated that the cellular protein and carbohydrate metabolism of Spica Prunellae was weaker, calcium ion transport was higher, photosynthesis was higher, and protein production was faster under saline conditions than under normal conditions. This study provides useful information for studying the causes of differences in secondary metabolites in Spica Prunellae under salt stress and the protein mechanisms related to their quality.

Indexed as

Salt StressChromatography, High Pressure LiquidMedicine, Chinese TraditionalProteomeProteomicsPrunellaSeedlingsTandem Mass SpectrometryProteome

Identifiers

PMID31270436
PMCPMC6610069

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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.