Evidence map›Paper›PMID 36899277›Full record

ArticleMolecular biology reports2023

Generation of a novel antibody against BxPrx, a diagnostic marker of pine wilt disease.

Seon-Hyung Kim, Hyun-Young Yun, Hee-Jin Jeong

Abstract read
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In one paragraph

Article in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Seon-Hyung KimDepartment of Biological and Chemical Engineering, Hongik University, 30016, Sejong, Republic of Korea.
Hyun-Young YunDepartment of Biological and Chemical Engineering, Hongik University, 30016, Sejong, Republic of Korea.
Hee-Jin JeongDepartment of Biological and Chemical Engineering, Hongik University, 30016, Sejong, Republic of Korea. heejinjeong@hongik.ac.kr.ORCID http://orcid.org/0000-0001-5897-1756
Hongik University · KR

Funding

Hongik University 2022 Hongik University Innovation Support Program FundKorea Forest Service (Korea Forestry Promotion Institute) 2022417A00-2223-AA02National Research Foundation of Korea grants funded by the Korean government 2020R1I1A307411712National Research Foundation of Korea grants funded by the Korean government 2021H1D3A2A02096525
6 · The paper itself

Abstract

backgroundBursaphelenchus xylophilus is a pathogenic nematode that causes pine wilt disease (PWD). To prevent the rapid spread of this pathogen, developing a method for rapid and accurate detection of B. xylophilus is required. METHODS AND

resultsIn this study, we produced a B. xylophilus peroxiredoxin (BxPrx), which is a protein that is overexpressed in B. xylophilus. Using recombinant BxPrx as an antigen, we generated and selected a novel antibody that binds to BxPrx via phage display and biopanning. We subcloned the anti-BxPrx single-chain variable fragment-encoding phagemid DNA to mammalian expression vector. We transfected the plasmid into mammalian cells and produced a highly sensitive recombinant antibody that enabled nanogram order detection of BxPrx.

conclusionThe sequence of anti-BxPrx antibody as well as the rapid immunoassay system described here can be applied for rapid and accurate diagnosis of PWD.

Indexed as

NematodaPinusSingle-Chain AntibodiesAnimalsMammalsPeroxiredoxinsRecombinant ProteinsXylophilusPeroxiredoxinsRecombinant ProteinsSingle-Chain AntibodiesBursaphelenchus xylophilusImmunoassayMonoclonal antibodyPhage displayPine wilt disease

Identifiers

PMID36899277
OpenAlexW4323825510

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.