Evidence map›Paper›PMID 33342922›Full record

ArticleAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2021

Response of HPRT Gene Fragment Functionalized Gold Nanoparticles to Gamma Ray Irradiation.

Yu Chen, Kaikai Wang, Feng Chen, Shuquan Chang, Haiqian Zhang

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In one paragraph

Article in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yu ChenDepartment of Nuclear Science and Technology, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Kaikai WangDepartment of Nuclear Science and Technology, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Feng ChenSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, 211166, China.
Shuquan ChangDepartment of Nuclear Science and Technology, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. zhanghq@nuaa.edu.cn.
Haiqian ZhangDepartment of Nuclear Science and Technology, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. sqchang@nuaa.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation-sensitive biomolecules are highly significant for studying biological effects of radiation and developing ionizing radiation detectors based on biomolecules. In this work, we selected hypoxanthine phosphoribosyl transferase gene fragments sensitive to gamma-ray irradiation as a sensing element for radiation detection. The end was modified with thiol groups. The thiol-modified oligonucleotide sequences were coupled to the surface of gold nanoparticles by Au-S covalent bonds. The DNA attached to the surface of gold nanoparticles forms a DNA-AuNPs assembly through base pairing. The assembly was irradiated by gamma rays. And its response to radiation was studied with ultraviolet-visible spectroscopy and surface-enhanced Raman scattering (SERS) spectroscopy techniques. SERS spectroscopy and ultraviolet spectroscopy can detect the response of the DNA-AuNPs assembly to gamma-ray irradiation below 100 and 100 - 250 Gy, respectively. The results indicated that it was feasible to develop a new approach of gamma-ray detectors using biomolecular assemblies of gold nanoparticles.

Indexed as

Gamma RaysDNAGoldHumansHypoxanthine PhosphoribosyltransferaseMetal NanoparticlesDNAGoldHypoxanthine PhosphoribosyltransferaseDNA-AuNPs assemblyDNA double-strand breakionizing radiationoligonucleotide sequencesSurface plasmon resonance

Identifiers

PMID33342922

What OpenQuestion holds

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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.