Evidence map›Paper›PMID 37572290›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Synthesis of DNA-Templated Silver Nanoclusters and the Characterization of Their Optical Properties and Biological Activity.

Elizabeth Skelly, Lewis A Rolband, Damian Beasock, Kirill A Afonin

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Elizabeth SkellyUniversity of North Carolina, Charlotte, NC, USA.
Lewis A RolbandUniversity of North Carolina, Charlotte, NC, USA.
Damian BeasockUniversity of North Carolina, Charlotte, NC, USA.
Kirill A AfoninUniversity of North Carolina, Charlotte, NC, USA. kafonin@uncc.edu.

Funding

SMART NANPs: new molecular platform for communication with human immune system and modulation of therapeutic responsesR35GM139587 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI AFONIN, KIRILL A · 2021 to 2025
$1.8M
NIGMS NIH HHS R35 GM139587
6 · The paper itself

Abstract

DNA-templated silver nanoclusters (DNA-AgNCs) are a unique class of bioinorganic nanomaterials. The optical properties and biological activities of DNA-AgNCs are readily modulated by the minor adjustments in the sequence or structure of the templating oligonucleotide. Excitation-emission matrix spectroscopy (EEMS) enables the fluorescence of compounds to be measured in a way that examines the entirety of a material's fluorescent properties. The use of EEMS for the characterization of DNA-AgNCs allows for multiple fluorescence peaks to be readily identified while providing the excitation and emission wavelengths of each signal. To assess the antibacterial and cytotoxic activities of DNA-AgNCs, two separate experimental approaches are used. Assessing the growth of bacteria over time is accomplished by measuring the optical density of the bacterial suspension with 600 nm light, which is directly related to the number of bacteria in suspension. In order to evaluate the DNA-AgNCs for cytotoxic activity, cell viability assays which probe mitochondrial activity were used. Herein, we describe protocols for the characterization of the fluorescent, antibacterial, and cytotoxic activities of DNA-AgNCs using EEM, optical density measurements, and cell viability assays.

Indexed as

Biosensing TechniquesMetal NanoparticlesColoring AgentsDNADNA ReplicationSilverSpectrometry, FluorescenceColoring AgentsDNASilverAgNCAntibacterialDNAFluorescenceNanoclusterSilver

Identifiers

PMID37572290
PMCPMC10482316

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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.