Evidence map›Paper›PMID 28555058›Full record

ArticleMicroarrays (Basel, Switzerland)2017

Modeling Hybridization Kinetics of Gene Probes in a DNA Biochip Using FEMLAB.

Ahsan Munir, Hassan Waseem, Maggie R Williams, Robert D Stedtfeld, Erdogan Gulari, James M Tiedje, Syed A Hashsham

Open access · goldAbstract read
In one paragraph

Article in Microarrays (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 1 country.

Ahsan MunirDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48823,USA. ahsan.muneer@gmail.com.
Hassan WaseemDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48823,USA. hasan_wasim@hotmail.com.
Maggie R WilliamsDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48823,USA. kronlei2@msu.edu.
Robert D StedtfeldDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48823,USA. stedtfel@msu.edu.
Erdogan GulariDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA. gulari@umich.edu.
James M TiedjeCenter for Microbial Ecology, Michigan State University, East Lansing, MI 48823, USA. tiedjej@msu.edu.
Syed A HashshamDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48823,USA. hashsham@egr.msu.edu.
Michigan State University · USUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microfluidic DNA biochips capable of detecting specific DNA sequences are useful in medical diagnostics, drug discovery, food safety monitoring and agriculture. They are used as miniaturized platforms for analysis of nucleic acids-based biomarkers. Binding kinetics between immobilized single stranded DNA on the surface and its complementary strand present in the sample are of interest. To achieve optimal sensitivity with minimum sample size and rapid hybridization, ability to predict the kinetics of hybridization based on the thermodynamic characteristics of the probe is crucial. In this study, a computer aided numerical model for the design and optimization of a flow-through biochip was developed using a finite element technique packaged software tool (FEMLAB; package included in COMSOL Multiphysics) to simulate the transport of DNA through a microfluidic chamber to the reaction surface. The model accounts for fluid flow, convection and diffusion in the channel and on the reaction surface. Concentration, association rate constant, dissociation rate constant, recirculation flow rate, and temperature were key parameters affecting the rate of hybridization. The model predicted the kinetic profile and signal intensities of eighteen 20-mer probes targeting vancomycin resistance genes (VRGs). Predicted signal intensities and hybridization kinetics strongly correlated with experimental data in the biochip (R² = 0.8131).

Indexed as

DNA biochipsFEMLABhybridization kineticsmicrofluidicsvancomycin resistance genes

Identifiers

PMID28555058
PMCPMC5487956
OpenAlexW2617388102

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.