Evidence map›Paper›PMID 27965274›Full record

ArticleMolecular & cellular proteomics : MCP2017

Rapid Production of Virus Protein Microarray Using Protein Microarray Fabrication through Gene Synthesis (PAGES).

Huan Qi, Huiqiong Zhou, Daniel Mark Czajkowsky, Shujuan Guo, Yang Li, Nan Wang, Yi Shi, Lifeng Lin, Jingfang Wang, De Wu and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Developments and Applications of Functional Protein Microarrays.Molecular & cellular proteomics : MCP · 2020
    Review
  5. 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

11 authors at 3 institutions in 2 countries.

Huan QiFrom the ‡Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine, Ministry of Education.
Huiqiong Zhou§Institute of Pathogenic Microbiology, Center for Disease Control and Prevention of Guangdong, No. 160, Quanxian Road, Dashi Street, Panyu District, Guangzhou, 511430, China.
Daniel Mark Czajkowsky¶School of Biomedical Engineering.
Shujuan GuoFrom the ‡Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine, Ministry of Education.
Yang LiFrom the ‡Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine, Ministry of Education.
Nan WangFrom the ‡Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine, Ministry of Education.
Yi ShiFrom the ‡Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine, Ministry of Education.
Lifeng Lin§Institute of Pathogenic Microbiology, Center for Disease Control and Prevention of Guangdong, No. 160, Quanxian Road, Dashi Street, Panyu District, Guangzhou, 511430, China.
Jingfang WangFrom the ‡Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine, Ministry of Education.
De Wu§Institute of Pathogenic Microbiology, Center for Disease Control and Prevention of Guangdong, No. 160, Quanxian Road, Dashi Street, Panyu District, Guangzhou, 511430, China.
Sheng-Ce TaoFrom the ‡Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine, Ministry of Education, taosc@sjtu.edu.cn wu_de68@cdcp.org.cn.
Institute for Biomedicine · ITShanghai Jiao Tong University · CNState Key Laboratory of Oncogene and Related Genes · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high genetic variability of RNA viruses is a significant factor limiting the discovery of effective biomarkers, the development of vaccines, and characterizations of the immune response during infection. Protein microarrays have been shown to be a powerful method in biomarker discovery and the identification of novel protein-protein interaction networks, suggesting that this technique could also be very useful in studies of infectious RNA viruses. However, to date, the amount of genetic material required to produce protein arrays, as well as the time- and labor-intensive procedures typically needed, have limited their more widespread application. Here, we introduce a method, protein microarray fabrication through gene synthesis (PAGES), for the rapid and efficient construction of protein microarrays particularly for RNA viruses. Using dengue virus as an example, we first identify consensus sequences from 3,604 different strains and then fabricate complete proteomic microarrays that are unique for each consensus sequence. To demonstrate their applicability, we show that these microarrays can differentiate sera from patients infected by dengue virus, related pathogens, or from uninfected patients. We anticipate that the microarray and expression library constructed in this study will find immediate use in further studies of dengue virus and that, more generally, PAGES will become a widely applied method in the clinical characterization of RNA viruses.

Indexed as

AdultAgedDengueDengue VirusFemaleGene LibraryGenetic VariationHumansMaleMiddle AgedPhylogenyProtein Array AnalysisProtein Interaction MapsProteomicsViral ProteinsYoung AdultViral Proteins

Identifiers

PMID27965274
PMCPMC5294215
OpenAlexW2560987556

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.