ArticleMethods in molecular biology (Clifton, N.J.)2024
Evaluating Cationic Nanoparticles as Carriers of Antiviral Nucleic Acids.
Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
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Who cites it
1 citing paper in PubMed.
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Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nanoparticle carriers enable the multivalent delivery of nucleic acids to cells and protect them from degradation. In this chapter, we present a comprehensive overview of four methodologies: electrophoretic mobility shift assay (EMSA), alamarBlue/CFDA-AM cell viability dyes, fluorescence microscopy, and antiviral assays, which collectively are tools to explore interactions between nucleic acids and nanoparticles, and their biological efficacy. These assays provide insights into binding potential, cytotoxicity, and antiviral efficacy of nucleic acid-based nanoparticle treatments furthering the development of effective antiviral therapeutics.
Indexed as
Identifiers
38888786What OpenQuestion holds
Registered trials
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.