Evidence map›Paper›PMID 32404185›Full record

ArticleParasites & vectors2020

Protein phosphorylation networks in spargana of Spirometra erinaceieuropaei revealed by phosphoproteomic analysis.

Wei Liu, Hailin Tang, Asmaa M I Abuzeid, Lei Tan, Aibing Wang, Xueping Wan, Haoji Zhang, Yisong Liu, Guoqing Li

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. 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
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 17 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 5 institutions in 2 countries.

Wei LiuGuangdong Provincial Zoonosis Prevention and Control Key Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, People's Republic of China.
Hailin TangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Asmaa M I AbuzeidGuangdong Provincial Zoonosis Prevention and Control Key Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, People's Republic of China.
Lei TanCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, 410128, Hunan, People's Republic of China.
Aibing WangCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, 410128, Hunan, People's Republic of China.
Xueping WanDepartment of Physiology, Medical College of Georgia at Augusta University, Augusta, GA, 30912, USA.
Haoji ZhangCollege of Life Science and Engineering, Foshan University, Foshan, 528225, Guangdong Province, People's Republic of China.
Yisong LiuCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, 410128, Hunan, People's Republic of China. liuyisong@hunau.edu.cn.
Guoqing LiGuangdong Provincial Zoonosis Prevention and Control Key Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, People's Republic of China. gqli@scau.edu.cn.
Hunan Agricultural University · CNSouth China Agricultural University · CNAugusta University · USFoshan University · CNSun Yat-sen University Cancer Center · CN

Funding

National Natural Science Foundation of China 31672541
6 · The paper itself

Abstract

backgroundSparganosis caused by Spirometra erinaceieuropaei spargana is a zoonotic parasitic infection that has been reported in many countries, including China, Japan, Thailand and Korea, as well as European countries and the USA. The biological and clinical significance of the parasite have previously been reported. Although the genomic and transcriptomic analysis of S. erinaceieuropaei provided insightful views about the development and pathogenesis of this species, little knowledge has been acquired in terms of post-translational regulation that is essential for parasite growth, development and reproduction. Here, we performed site-specific phosphoproteomic profiling, with an aim to obtain primary information about the global phosphorylation status of spargana.

resultsA total of 3228 phosphopeptides and 3461 phosphorylation sites were identified in 1758 spargana proteins. The annotated phosphoproteins were involved in a variety of biological pathways, including cellular (28%), metabolic (20%) and single-organism (17%) processes. The functional enrichment of phosphopeptides by Gene Ontology analysis indicated that most spargana phosphoproteins were related to the cytoskeleton cellular compartment, signaling molecular function, and a variety of biological processes, including a molecular function regulator, guanyl-nucleotide exchange factor activity, protein kinase activities, and calcium ion binding. The highly enriched pathways of phosphorylation proteins include the phosphatidylinositol signaling system, phagosome, endocytosis, inositol phosphate metabolism, terpenoid backbone biosynthesis, and peroxisome. Domain analysis identified an EF-hand domain and pleckstrin homology domain among the key domains.

conclusionsTo our knowledge, this study performed the first global phosphoproteomic analysis of S. erinaceieuropaei. The dataset reported herein provides a valuable resource for future studies on the signaling pathways of this important zoonotic parasite.

Indexed as

ProteomicsAnimalsCestode InfectionsFemaleHelminth ProteinsMass SpectrometryPhosphoproteinsPhosphorylationPhylogenyProtein Processing, Post-TranslationalSignal TransductionSnakesSpirometraHelminth ProteinsPhosphoproteinsIMACMass spectrometryPhosphoproteomeSparganaSpirometra erinaceieuropaei

Identifiers

PMID32404185
PMCPMC7218563
OpenAlexW3027123220

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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.