Evidence map›Paper›PMID 25674599›Full record

ArticleVirusdisease2014

Development of proteomic technology of shotgun and label free combined with multiple reaction monitoring to simultaneously detect southern rice black-streaked dwarf virus and rice ragged stunt virus.

Zhuo Chen, Qin Guo, Bing-Hua Chen, Xiang-Yang Li, Zhen-Chao Wang, Peng He, Fei Yan, De-Yu Hu, Song Yang

Open access · bronzeAbstract read
In one paragraph

Article in Virusdisease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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 1 institution in 1 country.

Zhuo ChenState Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Key Laboratory of Plant Protection and Biotechnology, Ministry of Agriculture, Hangzhou, 310021 People's Republic of China ; State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, 550025 People's Republic of China.
Qin GuoState Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Key Laboratory of Plant Protection and Biotechnology, Ministry of Agriculture, Hangzhou, 310021 People's Republic of China ; State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, 550025 People's Republic of China.
Bing-Hua ChenState Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Key Laboratory of Plant Protection and Biotechnology, Ministry of Agriculture, Hangzhou, 310021 People's Republic of China ; State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, 550025 People's Republic of China.
Xiang-Yang LiState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, 550025 People's Republic of China.
Zhen-Chao WangState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, 550025 People's Republic of China.
Peng HeState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, 550025 People's Republic of China.
Fei YanState Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Key Laboratory of Plant Protection and Biotechnology, Ministry of Agriculture, Hangzhou, 310021 People's Republic of China.
De-Yu HuState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, 550025 People's Republic of China.
Song YangState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, 550025 People's Republic of China.
Guizhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The co-infection of rice caused by southern rice black-streaked dwarf virus (SRBSDV) and rice ragged stunt virus (RRSV) was widely found at many regions, such as Yunnan Province, China, and North and Central Vietnam. These rice viral diseases lead to seriously yield loss of rice. In this study, the proteomics technology of shotgun and label free combined with multiple reaction monitoring (MRM) was developed to detect rice sample of a single or/and co-infection. The shotgun assay indicated that some proteins coded by SRBSDV and RRSV were detected via the mode of in-gel digestion, except for P5-2, P7-2 and P9-2 of SRBSDV and P4b, P5, P6, P8a and P8b of RRSV. The technology of label free combined with MRM indicated that P2, P5-1, P4, P8, P7-1, P6, P9-1 and P10 of SRBSDV and P1, P3 and P9 of RRSV were higher abundance in rice plant, and P5-2, P7-2 and P9-2 of SRBSDV and P4b and P5 of RRSV were lower abundance in viruliferous-rice plant. So SRBSDV P9-1 and RRSV P3 was selected as marker molecule to be used in detection technology, and the label free combined with MRM technology was established to detect two kinds of rice virus.

Indexed as

Bio-informaticsLabel freeMulti reaction monitoringRRSVShotgun protein proteomicSRBSDV

Identifiers

PMID25674599
PMCPMC4188197
OpenAlexW1989788179

What OpenQuestion holds

Textmetadata
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.