Evidence map›Paper›PMID 26660081›Full record

ArticleCurrent microbiology2016

Application of Differential Proteomic Analysis to Authenticate Ophiocordyceps sinensis.

Shiwei Zhang, Xintian Lai, Bifang Li, Cong Wu, Shifeng Wang, Xuejian Chen, Jingmin Huang, Guowu Yang

Abstract read
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In one paragraph

Article in Current microbiology, 2016. 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. Review
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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

8 authors.

Shiwei ZhangShenzhen Academy of Metrology and Quality Inspection, Shenzhen, 518102, People's Republic of China.
Xintian LaiShenzhen Academy of Metrology and Quality Inspection, Shenzhen, 518102, People's Republic of China. zsw_8506@qq.com.
Bifang LiShenzhen Academy of Metrology and Quality Inspection, Shenzhen, 518102, People's Republic of China.
Cong WuShenzhen Academy of Metrology and Quality Inspection, Shenzhen, 518102, People's Republic of China.
Shifeng WangShenzhen Academy of Metrology and Quality Inspection, Shenzhen, 518102, People's Republic of China.
Xuejian ChenShenzhen Academy of Metrology and Quality Inspection, Shenzhen, 518102, People's Republic of China.
Jingmin HuangShenzhen Academy of Metrology and Quality Inspection, Shenzhen, 518102, People's Republic of China.
Guowu YangShenzhen Academy of Metrology and Quality Inspection, Shenzhen, 518102, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ophiocordyceps sinensis (Berk.) Sacc. is one of the most well-known fungi in traditional Chinese medicine and is attracting attention because of its nutritious and medicinal properties. The present study aimed to produce a proteomic map to identify common O. sinensis proteins. The caterpillar body and stroma of O. sinensis collected from five locations and four fungal specimens of similar appearance were examined by two-dimensional electrophoresis (2-DE). Five proteins were identified using MALDI-TOF--TOF/MS, and the 2-DE identification pattern was provided. OCS_04585 and β-lactamase domain-containing protein, the two abundant and characteristic proteins, were separated and purified using liquid-phase isoelectric focusing. The products were high-quality materials that can be used for future protein-function studies and immunoassay development.

Indexed as

Electrophoresis, Gel, Two-DimensionalFungal ProteinsHypocrealesIsoelectric FocusingMicrobiological TechniquesProteomeProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationFungal ProteinsProteome

Identifiers

What OpenQuestion holds

Textmetadata
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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.