Evidence map›Paper›PMID 38275665›Full record

ArticleCurrent issues in molecular biology2023

Multiplex Microarrays in 96-Well Plates Photoactivated with 4-Azidotetrafluorobenzaldehyde for the Identification and Quantification of β-Lactamase Genes and Their RNA Transcripts.

Mariya M Ulyashova, Galina V Presnova, Anna A Filippova, Vitaly G Grigorenko, Alexey M Egorov, Maya Yu Rubtsova

Open access · goldAbstract read
In one paragraph

Article in Current issues in molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Mariya M UlyashovaDepartment of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia.
Galina V PresnovaDepartment of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia.
Anna A FilippovaDepartment of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia.
Vitaly G GrigorenkoDepartment of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0003-0352-4902
Alexey M EgorovDepartment of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia.
Maya Yu RubtsovaDepartment of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0003-4025-5967
Lomonosov Moscow State University · RU

Funding

Lomonosov Moscow State University 123032300028-0
6 · The paper itself

Abstract

Antibiotic-resistant bacteria represent a global issue that calls for novel approaches to diagnosis and treatment. Given the variety of genetic factors that determine resistance, multiplex methods hold promise in this area. We developed a novel method to covalently attach oligonucleotide probes to the wells of polystyrene plates using photoactivation with 4-azidotetrafluorobenzaldehyde. Then, it was used to develop the technique of microarrays in the wells. It consists of the following steps: activating polystyrene, hybridizing the probes with biotinylated target DNA, and developing the result using a streptavidin-peroxidase conjugate with colorimetric detection. The first microarray was designed to identify 11 different gene types and 16 single-nucleotide polymorphisms (SNPs) of clinically relevant ESBLs and carbapenemases, which confer Gram-negative bacteria resistance to β-lactam antibiotics. The detection of

Indexed as

antibiotic-resistant bacteriabifunctional linkersmolecular detectionoligonucleotide microarraysphotoactivationβ-lactamases

Identifiers

PMID38275665
PMCPMC10814224
OpenAlexW4390030961

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.