Quantification of cDNA on GMR biosensor array towards point-of-care gene expression analysis

Ravi, Neeraja; Rizzi, Giovanni; Chang, Sarah; Cheung, Peggie; Utz, Paul J.; Wang, Shan X.

doi:10.1016/j.bios.2018.09.050

Cited by 41 publications

(27 citation statements)

References 17 publications

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“…Bunroddith and colleagues developed a QCM sensor for the ultrasensitive detection of DNA with results comparable to the ones obtained using a SPR sensor platform [8]. Ravi et al reported a rapid screening method of Ehrlichia canis PCR amplification products based on PCR assay combined with QCM [9]. Regarding RNA biosensors, Tedeschi and coworkers reported that they successfully achieved a QCM label-free RNA biosensor with high specificity, reusability, and the ability to provide quantitative information [2].…”

Section: Introductionmentioning

confidence: 90%

“…PNAs are DNA mimics in which the bases are attached to a neutral N-(2-aminoethyl)-glycine pseudopeptide backbone, and LNAs are nucleic acid analogues in which the ribose ring is "locked" by a methylene bridge that shows increased thermal stability [4]. Other capture probes used are chemically modified at one of the oligonucleotide ends, and usually, biotin, thiol, or amine residues are aggregated, biotin and thiol being the most used chemical modifications [7][8][9][37][38][39][40]. Moreover, the surface chemistry used in this study enabled the immobilization of cDNA, which allowed developing a biosensor for gene expression determination from children with obesity.…”

Section: Real-time Quantitative Polymerase Chain Reactionmentioning

confidence: 99%

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NLRP3, IL-1β, and Caspase-1 Gene Transcript Identification and Expression by QCM-D in Obese Children

et al. 2019

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Background. Obesity in children is highly prevalent in Mexican population. Adipose tissue has been related to specific pro- and anti-inflammatory cytokine and inflammasome gene and protein expression patterns. Actually, there is no existing biosensor for detecting gene expression patterns in children with obesity. The quartz crystal microbalance with dissipation monitoring (QCM-D) has been used as a transducer for DNA biosensor design. Results. In this study, the gene expression pattern of IL-1β, NLRP3, and CASPASE-1 in children with obesity was successfully determined by means of QCM-D. Gene expression patterns were validated with those obtained by quantitative polymerase chain reaction (qPCR), a validated molecular biology technique for gene expression quantification. QCM-D analysis of the detected mass corresponding results for each of the genes showed a major detected mass for IL-1β, followed by similar NLRP3 and constitutive gene 18S deposited mass and a smaller deposited mass for CASPASE-1. Surprisingly, when comparing mRNA gene expression results for NLRP3, IL-1β, and CASPASE-1 obtained with qPCR and QCM-D, similar patterns were found, revealing greatest expression of IL-1β, followed by NLRP3, with CASPASE-1 being the molecule of least expression in the group of children with obesity. AFM images illustrate the step-by-step changes that took place on the quartz surface. Conclusions. QCM-D proved successfully for determining the gene transcripts and expression of NLRP3, IL-1β, and CASPASE-1 in children with obesity, with similar results validated by qPCR. “QCM-D decreases detection costs compared with a validated molecular biology technique.” The QCM-D biosensor developed by our group was successful for gene expression determination; in the future, it can be used for molecular diagnosis.

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Section: Introductionmentioning

confidence: 90%

Section: Real-time Quantitative Polymerase Chain Reactionmentioning

confidence: 99%

NLRP3, IL-1β, and Caspase-1 Gene Transcript Identification and Expression by QCM-D in Obese Children

et al. 2019

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“…Like the immunoassay-based GMR sensing platforms, there is also a need for pushing GMR-based genotyping toward POC applications, which requires shorter assay time, improved sensitivity, and broader dynamic range. Recently, Ravi et al reported that their GMR sensors were capable of simultaneously detecting multiple transcripts with a dynamic range of 4 orders of magnitude and a LOD of 1 pM and 0.1 pM, respectively, for 15-and 18-cycle amplified products, which demonstrated GMR biosensors' potential to be rapid and sensitive POC platforms for genotyping [125].…”

Section: Gmr-based Sensors For Genotypingmentioning

confidence: 99%

Advances in Magnetoresistive Biosensors

Saha

et al. 2019

Micromachines

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Magnetoresistance (MR) based biosensors are considered promising candidates for the detection of magnetic nanoparticles (MNPs) as biomarkers and the biomagnetic fields. MR biosensors have been widely used in the detection of proteins, DNAs, as well as the mapping of cardiovascular and brain signals. In this review, we firstly introduce three different MR devices from the fundamental perspectives, followed by the fabrication and surface modification of the MR sensors. The sensitivity of the MR sensors can be improved by optimizing the sensing geometry, engineering the magnetic bioassays on the sensor surface, and integrating the sensors with magnetic flux concentrators and microfluidic channels. Different kinds of MR-based bioassays are also introduced. Subsequently, the research on MR biosensors for the detection of protein biomarkers and genotyping is reviewed. As a more recent application, brain mapping based on MR sensors is summarized in a separate section with the discussion of both the potential benefits and challenges in this new field. Finally, the integration of MR biosensors with flexible substrates is reviewed, with the emphasis on the fabrication techniques to obtain highly shapeable devices while maintaining comparable performance to their rigid counterparts.

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“…Recently, research on biosensors based on magnetic labels using magnetoresistance has been actively conducted for various biomedical applications [1][2][3]. Simple device configurations of magnetoresistive (MR) biosensors, combined with low noise in concentration measurements of biosamples [4,5], make MR biosensors very promising as in vitro diagnostic devices and point-of-care testing systems [6][7][8]. The largest share of recent works on magnetic biosensors considers giant magnetoresistive (GMR) sensors [9,10] and tunneling magnetoresistive (TMR) sensors [11] as the most promising sensors for biosensor applications.…”

Section: Introductionmentioning

confidence: 99%

Performance Validation of a Planar Hall Resistance Biosensor through Beta-Amyloid Biomarker

SungJoon

Torati

Таланцев

et al. 2020

Sensors

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Magnetic sensors have great potential for biomedical applications, particularly, detection of magnetically-labeled biomolecules and cells. On the basis of the advantage of the planar Hall effect sensor, which consists of improved thermal stability as compared with other magnetic sensors, we have designed a portable biosensor platform that can detect magnetic labels without applying any external magnetic field. The trilayer sensor, with a composition of Ta (5 nm)/NiFe (10 nm)/Cu (x = 0 nm~1.2 nm)/IrMn (10 nm)/Ta (5 nm), was deposited on a silicon wafer using photolithography and a sputtering system, where the optimized sensor sensitivity was 6 μV/(Oe∙mA). The detection of the magnetic label was done by comparing the signals obtained in first harmonic AC mode (1f mode) using an external magnetic field and in the second harmonic AC mode (2f mode) with a self-field generated by current passing through the sensor. In addition, a technique for the β-amyloid biomarker-based antibody-antigen sandwich model was demonstrated for the detection of a series of concentrations of magnetic labels using the self-field mode method, where the signal-to-noise ratio (SNR) was high. The generated self-field was enough to detect an immobilized magnetic tag without an additional external magnetic field. Hence, it could be possible to reduce the device size to use the point-of-care testing using a portable circuit system.

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Quantification of cDNA on GMR biosensor array towards point-of-care gene expression analysis

Cited by 41 publications

References 17 publications

NLRP3, IL-1β, and Caspase-1 Gene Transcript Identification and Expression by QCM-D in Obese Children

NLRP3, IL-1β, and Caspase-1 Gene Transcript Identification and Expression by QCM-D in Obese Children

Advances in Magnetoresistive Biosensors

Performance Validation of a Planar Hall Resistance Biosensor through Beta-Amyloid Biomarker

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