Evidence map›Paper›PMID 34416854›Full record

ArticleBMC plant biology2021

Investigation of cell wall proteins of C. sinensis leaves by combining cell wall proteomics and N-glycoproteomics.

Yanli Liu, Linlong Ma, Dan Cao, Ziming Gong, Jing Fan, Hongju Hu, Xiaofang Jin

Abstract read
In one paragraph

Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Plants (Basel, Switzerland) · 2022
    Review
  6. 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

7 authors.

Yanli LiuFruit and Tea Research Institute, Hubei Academy of Agricultural Sciences, No. 10 Nanhu Road, Wuhan, 430064, Hubei, People's Republic of China.
Linlong MaFruit and Tea Research Institute, Hubei Academy of Agricultural Sciences, No. 10 Nanhu Road, Wuhan, 430064, Hubei, People's Republic of China.
Dan CaoFruit and Tea Research Institute, Hubei Academy of Agricultural Sciences, No. 10 Nanhu Road, Wuhan, 430064, Hubei, People's Republic of China.
Ziming GongFruit and Tea Research Institute, Hubei Academy of Agricultural Sciences, No. 10 Nanhu Road, Wuhan, 430064, Hubei, People's Republic of China.
Jing FanFruit and Tea Research Institute, Hubei Academy of Agricultural Sciences, No. 10 Nanhu Road, Wuhan, 430064, Hubei, People's Republic of China.
Hongju HuFruit and Tea Research Institute, Hubei Academy of Agricultural Sciences, No. 10 Nanhu Road, Wuhan, 430064, Hubei, People's Republic of China.
Xiaofang JinFruit and Tea Research Institute, Hubei Academy of Agricultural Sciences, No. 10 Nanhu Road, Wuhan, 430064, Hubei, People's Republic of China. xfjin@126.com.ORCID http://orcid.org/0000-0002-7113-8256

Funding

Key Research and Development Program of Hubei province 2020BBA038Natural Science Foundation of Hubei Province 2019CFB600
6 · The paper itself

Abstract

backgroundC. sinensis is an important economic crop with fluoride over-accumulation in its leaves, which poses a serious threat to human health due to its leaf consumption as tea. Recently, our study has indicated that cell wall proteins (CWPs) probably play a vital role in fluoride accumulation/detoxification in C. sinensis. However, there has been a lack in CWP identification and characterization up to now. This study is aimed to characterize cell wall proteome of C. sinensis leaves and to develop more CWPs related to stress response. A strategy of combined cell wall proteomics and N-glycoproteomics was employed to investigate CWPs. CWPs were extracted by sequential salt buffers, while N-glycoproteins were enriched by hydrophilic interaction chromatography method using C. sinensis leaves as a material. Afterwards all the proteins were subjected to UPLC-MS/MS analysis.

resultsA total of 501 CWPs and 195 CWPs were identified respectively by cell wall proteomics and N-glycoproteomics profiling with 118 CWPs in common. Notably, N-glycoproteomics is a feasible method for CWP identification, and it can enhance CWP coverage. Among identified CWPs, proteins acting on cell wall polysaccharides constitute the largest functional class, most of which might be involved in cell wall structure remodeling. The second largest functional class mainly encompass various proteases related to CWP turnover and maturation. Oxidoreductases represent the third largest functional class, most of which (especially Class III peroxidases) participate in defense response. As expected, identified CWPs are mainly related to plant cell wall formation and defense response.

conclusionThis was the first large-scale investigation of CWPs in C. sinensis through cell wall proteomics and N-glycoproteomics. Our results not only provide a database for further research on CWPs, but also an insight into cell wall formation and defense response in C. sinensis.

Indexed as

Camellia sinensisCell WallChinaCrops, AgriculturalFluoridesGlycoproteinsPlant LeavesPlant ProteinsProteomicsFluoridesGlycoproteinsPlant ProteinsCell wall proteomicsC. sinensisGlycoside hydrolasesN-glycoproteomics

Identifiers

PMID34416854
PMCPMC8377857

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.