Evidence map›Paper›PMID 35491395›Full record

ArticleChemMedChem2022

One Solution for All: Searching for Universal Aptamers for Constantly Mutating Spike Proteins of SARS-CoV-2.

Jiuxing Li, Zijie Zhang, Ryan Amini, Yingfu Li

Open access · bronzeAbstract read
In one paragraph

Article in ChemMedChem, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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 at 1 institution in 1 country.

Jiuxing LiDepartment of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.ORCID 0000-0001-7012-2482
Zijie ZhangDepartment of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.ORCID 0000-0003-2757-3071
Ryan AminiDepartment of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.ORCID 0000-0002-2127-4428
Yingfu LiDepartment of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.ORCID 0000-0002-7533-6743
McMaster University · CA

Funding

CIHR
6 · The paper itself

Abstract

Aptamers that can recognize the spike (S) protein of SARS-CoV-2 with high affinity and specificity are useful molecules towards the development of diagnostics and therapeutics to fight COVID-19. However, this S protein is constantly mutating, producing variants of concern (VoCs) that can significantly weaken the binding by aptamers initially engineered to recognize the S protein of the wildtype virus or a specific VoC. One strategy to overcome this problem is to develop universal aptamers that are insensitive to all or most of the naturally emerging mutations in the protein. We have recently demonstrated this concept by subjecting a pool of S protein-binding DNA aptamers for one-round parallel-SELEX experiments targeting 5 different S protein variants for binding-based sequence enrichment, followed by bioinformatic analysis of the enriched pools. This effort has led to the identification of a universal aptamer that recognizes 8 different variants of the spike protein with equally excellent affinity.

Indexed as

Aptamers, NucleotideCOVID-19 Drug TreatmentHumansSARS-CoV-2SELEX Aptamer TechniqueSpike Glycoprotein, CoronavirusAptamers, NucleotideSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2aptamerCOVID-19diagnosticsspike proteintherapeutics

Identifiers

PMID35491395
PMCPMC9347811
OpenAlexW4225271061

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.