Evidence map›Paper›PMID 35829681›Full record

ArticleBiochemistry2022

An

Nicole B Williams, Sana Batool, Hasan E Zumrut, Rutika Patel, German Sosa, Mohammad Jamal, Prabodhika Mallikaratchy

Abstract read
In one paragraph

Article in Biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Precision Aptamers Against a Native GPCR through Ligand-Guided Selection.bioRxiv : the preprint server for biology · 2026
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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

7 authors.

Nicole B WilliamsPh.D. Program in Molecular, Cellular and Developmental Biology, CUNY Graduate Center, The City University of New York, 365 Fifth Avenue, New York, New York 10016, United States.
Sana BatoolDepartment of Chemistry, Lehman College, The City University of New York, 250 Bedford Park Blvd., West Bronx, New York, New York 10468, United States.
Hasan E ZumrutPh.D. Programs in Chemistry and Biochemistry, CUNY Graduate Center, The City University of New York, 365 Fifth Avenue, New York, New York 10016, United States.
Rutika PatelPh.D. Programs in Chemistry and Biochemistry, CUNY Graduate Center, The City University of New York, 365 Fifth Avenue, New York, New York 10016, United States.
German SosaDepartment of Chemistry, Lehman College, The City University of New York, 250 Bedford Park Blvd., West Bronx, New York, New York 10468, United States.
Mohammad JamalDepartment of Chemistry, Lehman College, The City University of New York, 250 Bedford Park Blvd., West Bronx, New York, New York 10468, United States.
Prabodhika MallikaratchyDepartment of Chemistry, Lehman College, The City University of New York, 250 Bedford Park Blvd., West Bronx, New York, New York 10468, United States.ORCID 0000-0002-6437-4613

Funding

Discovery and development of artificial nucleic acid ligands to probe cellular interactionsR35GM139336 · NIGMS · HERBERT H. LEHMAN COLLEGE · PI MALLIKARATCHY, PRABODHIKA · 2021 to 2025
$1.9M
Ligand Guided Selection of Aptamers against Human Leukemia and LymphomaSC1GM122648 · NIGMS · HERBERT H. LEHMAN COLLEGE · PI MALLIKARATCHY, PRABODHIKA · 2017 to 2020
$1.5M
NIGMS NIH HHS R35 GM139336NIGMS NIH HHS SC1 GM122648
6 · The paper itself

Abstract

Aptamer ligand discovery against multiple molecules expressed on whole cells is an essential component in molecular tool development. However, owing to their intrinsic structural characteristics, cell-surface receptors have proven to be challenging targets in ligand discovery. Several variants to systematic evolution of ligands by exponential enrichment (SELEX) have been introduced to address the ″target problem″ for aptamer screening. To this end, we introduced a variant of SELEX, termed ligand-guided selection (LIGS), to identify highly specific aptamers against complex cell-surface markers in their native state. So far, the application of LIGS has been aimed at identifying aptamers against the most dominant receptors on the cell surface. Here, we report that LIGS can be expanded to identify two receptors on the same cell surface, paving the way to generate a multiplexed ligand discovery platform based on SELEX-targeting membrane receptors in their native functional state. Using CD19 and CD20 expressed on Toledo cells as a model system, multiple aptamer families were evolved against Toledo cells. We then utilized two monoclonal antibodies (mAbs) against CD20 and CD19 to selectively partition specific aptamers against CD19 and CD20. Following biochemical characterization, we introduce two specific aptamers against CD19 and two specific aptamers against CD20 with high affinity. Multi-target LIGS, as reported here, demonstrates a successful combinatorial approach for nucleic acid library screening to generate multiple artificial nucleic acid ligands against multiple receptors expressed on a single cell.

Indexed as

Aptamers, NucleotideNucleic AcidsGene LibraryHumansLigandsSELEX Aptamer TechniqueAptamers, NucleotideLigandsNucleic Acids

Identifiers

PMID35829681
PMCPMC10117398

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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.