Evidence map›Paper›PMID 20392628›Full record

ArticleBiosensors & bioelectronics2011

Gene expression analysis with an integrated CMOS microarray by time-resolved fluorescence detection.

Ta-chien D Huang, Sunirmal Paul, Ping Gong, Rastislav Levicky, John Kymissis, Sally A Amundson, Kenneth L Shepard

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Ta-chien D HuangBioelectronic Systems Laboratory, Department of Electrical Engineering, Columbia University, New York, NY 10027, USA.
Sunirmal Paul
Ping Gong
Rastislav Levicky
John Kymissis
Sally A Amundson
Kenneth L Shepard

Funding

Low-cost active CMOS biochips for whole genome analysisR33HG003089 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SHEPARD, KENNETH L · 2007 to 2009
$1.2M
Low-cost active CMOS biochips for whole genome analysisR21HG003089 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LEVICKY, RASTISLAV · 2005 to 2006
$356k
NHGRI NIH HHS R21 HG003089NHGRI NIH HHS R33 HG003089NHGRI NIH HHS R33-HG003089
6 · The paper itself

Abstract

DNA microarrays have proven extraordinarily powerful for differential expression studies across thousands of genes in a single experiment. Microarrays also have the potential for clinical applications, including the detection of infectious and immunological diseases and cancer, if they can be rendered both reliable and cost-effective. Here we report the first practical application of an active microarray based on integrated circuit technology, completely obviating the need for external measurement instrumentation while employing protocols compatible with traditional fluorescence-based surface bioassays. In a gene expression biodosimetry study, we determine the differential activity of genes from leucocytes in irradiated human blood. Quantum dots are used as fluorescence labels to realize filterless, time-gated fluorescence detection on an active complementary metal-oxide-semiconductor (CMOS) microarray with 100-pM sensitivity. Improvements in surface chemistry should allow sensitivities that approach the microarray hardware limit of less than 10 pM. Techniques for covalent attachment of DNA capture strands to the CMOS active microarrays allow integrated sensors to be placed in immediate proximity to hybridized analyte strands, maximizing photon collection efficiencies.

Indexed as

Quantum DotsBlood ProteinsCells, CulturedEquipment DesignEquipment Failure AnalysisGene Expression ProfilingHumansLeukocytesOligonucleotide Array Sequence AnalysisSpectrometry, FluorescenceSystems IntegrationTransistors, ElectronicBlood Proteins

Identifiers

PMID20392628
PMCPMC3411189

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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.