Evidence map›Paper›PMID 36937170›Full record

ArticleMicrofluidics and nanofluidics2022

Surface acoustic wave-assisted microfluidic isolation of aptamers.

Cheng Bai, Xin Meng, Kechun Wen, Marimuthu Citartan, Chaohui Wang, Shifeng Yu, Qiao Lin

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microfluidics and nanofluidics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 3 countries.

Cheng BaiDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.
Xin MengDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.
Kechun WenDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.
Marimuthu CitartanDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.
Chaohui WangState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, People's Republic of China.
Shifeng YuDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.
Qiao LinDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.
Columbia University · USXi'an Jiaotong University · CN

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FORNACE, ALBERT J · 2005 to 2024
$105.4M
Validating Rapid Microfluidic Isolation of Personalized Aptamers for Monitoring Minimal Residual Disease in Multiple MyelomaR33CA196470 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LIN, QIAO · 2016 to 2018
$1.2M
NCI NIH HHS R33 CA196470NIAID NIH HHS U19 AI067773
6 · The paper itself

Abstract

Aptamers are synthetic single-stranded nucleic acid molecules that bind to biochemical targets with high affinity and specificity. The method of systematic evolution of ligands by exponential enrichment (SELEX) is widely used to isolate aptamers from randomized oligonucleotides. Recently, microfluidic technology has been applied to improve the efficiency and reduce the cost in SELEX processes. In this work, we present an approach that exploits surface acoustic waves to improve the affinity selection process in microfluidic SELEX. Acoustic streaming is used to enhance the interactions of the solution-based oligonucleotide molecules with microbead-immobilized target molecules, allowing the identification of high-affinity aptamer candidates in a more efficient manner. For demonstration, a DNA aptamer is isolated within three rounds of selection in 5 h to specifically bind to immunoglobulin E, a representative target protein, with an equilibrium dissociation constant of approximately 22.6 nM.

Identifiers

PMID36937170
PMCPMC10019509
OpenAlexW4280623442

What OpenQuestion holds

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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.