Evidence map›Paper›PMID 30269961›Full record

ArticleBiosensors & bioelectronics2019

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

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

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 48 citations in OpenAlex.

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  10. Giant Magnetoresistance Biosensors in Biomedical Applications.ACS applied materials & interfaces · 2022
    Review
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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

6 authors at 1 institution in 1 country.

Neeraja RaviDepartment of Bioengineering, Stanford University, Stanford, CA 93405, USA. Electronic address: neravi@stanford.edu.
Giovanni RizziDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 93405, USA. Electronic address: grizzi@stanford.edu.
Sarah E ChangInstitute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: sechang@stanford.edu.
Peggie CheungInstitute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: pcheung@stanford.edu.
Paul J UtzInstitute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: pjutz@stanford.edu.
Shan X WangDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 93405, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 93405, USA. Electronic address: sxwang@stanford.edu.
Stanford University · US

Funding

Nano Characterization and Nano Fabrication CoreU54CA199075 · NCI · STANFORD UNIVERSITY · PI SINCLAIR, ROBERT · 2015 to 2019
$9.6M
Training Program in Adult and Pediatric RheumatologyT32AR050942 · NIAMS · STANFORD UNIVERSITY · PI LEWIS, DAVID BRAM, ROBINSON, WILLIAM H · 2005 to 2025
$6.6M
Giant MagnetoResistive (GMR) Sensors for Measuring Influenza VaccineR01AI125197 · NIAID · STANFORD UNIVERSITY · PI UTZ, PAUL JOSEPH, WANG, SHAN X. · 2016 to 2021
$5.0M
Ultra-Fast Epigenomic Maps for Monitoring AutoimmunityU19AI110491 · NIAID · STANFORD UNIVERSITY · PI MAECKER, HOLDEN T. · 2014 to 2018
$3.6M
NCI NIH HHS U54 CA199075NIAID NIH HHS R01 AI125197NIAID NIH HHS U19 AI110491NIAMS NIH HHS T32 AR050942
6 · The paper itself

Abstract

Gene expression analysis at the point-of-care is important for rapid disease diagnosis, but traditional techniques are limited by multiplexing capabilities, bulky equipment, and cost. We present a gene expression analysis platform using a giant magnetoresistive (GMR) biosensor array, which allows multiplexed transcript detection and quantification through cost-effective magnetic detection. In this work, we have characterized the sensitivity, dynamic range, and quantification accuracy of Polymerase chain reaction (PCR)-amplified complementary DNA (cDNA) on the GMR for the reference gene GAPDH. A synthetic GAPDH single-stranded DNA (ssDNA) standard was used to calibrate the detection, and ssDNA dilutions were qPCR-amplified to obtain a standard curve. We demonstrate that the GMR platform provides a dynamic range of 4 orders of magnitude and a limit of detection of 1 pM and 0.1 pM respectively for 15 and 18-cycle amplified synthetic GAPDH PCR products. The quantitative results of GMR analysis of cell-line RNA were confirmed by qPCR.

Indexed as

Biosensing TechniquesBiomarkersDNA, ComplementaryDNA, Single-StrandedGene Expression ProfilingGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)HumansMagneticsPoint-of-Care SystemsBiomarkersDNA, ComplementaryDNA, Single-StrandedGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)ArrayDNA meltingGene expressionGMR sensorsPCRPoint-of-care

Identifiers

PMID30269961
PMCPMC6391206
OpenAlexW2889876763

What OpenQuestion holds

Textmetadata
LicenceTDM
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.