Real-time DNA microarray analysis.

Nucleic Acids Res

Institute for Cellular and Molecular Biology, University of Texas at Austin, TX 78712, USA.

Published: November 2009

We present a quantification method for affinity-based DNA microarrays which is based on the real-time measurements of hybridization kinetics. This method, i.e. real-time DNA microarrays, enhances the detection dynamic range of conventional systems by being impervious to probe saturation in the capturing spots, washing artifacts, microarray spot-to-spot variations, and other signal amplitude-affecting non-idealities. We demonstrate in both theory and practice that the time-constant of target capturing in microarrays, similar to all affinity-based biosensors, is inversely proportional to the concentration of the target analyte, which we subsequently use as the fundamental parameter to estimate the concentration of the analytes. Furthermore, to empirically validate the capabilities of this method in practical applications, we present a FRET-based assay which enables the real-time detection in gene expression DNA microarrays.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2802827PMC
http://dx.doi.org/10.1093/nar/gkp675DOI Listing

Publication Analysis

Top Keywords

dna microarrays
12
real-time dna
8
real-time
4
dna microarray
4
microarray analysis
4
analysis quantification
4
quantification method
4
method affinity-based
4
affinity-based dna
4
microarrays
4

Similar Publications

This study aimed to elucidate the potential causal relationship between 4,907 plasma proteins and the risk of gastric cancer using a two-sample Mendelian randomization approach. We utilized genome-wide association study (GWAS) data to perform two-sample Mendelian randomization analyses, treating the 4,907 plasma proteins as exposure factors and gastric cancer as the outcome. Instrumental variables for plasma proteins were selected based on strongly correlated SNPs identified through data processing and screening of the GWAS data provided by the deCode database.

View Article and Find Full Text PDF

Studies of the genetics of Alzheimer's disease (AD) have largely focused on single nucleotide variants and short insertions/deletions. However, most of the disease heritability has yet to be uncovered, suggesting that there is substantial genetic risk conferred by other forms of genetic variation. There are over one million short tandem repeats (STRs) in the genome, and their link to AD risk has not been assessed.

View Article and Find Full Text PDF

Coding Variants of the Genitourinary Development Gene Carry High Risk for Prostate Cancer.

JCO Precis Oncol

January 2025

Medical Research Service, Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN.

Purpose: Considerable genetic heterogeneity is currently thought to underlie hereditary prostate cancer (HPC). Most families meeting criteria for HPC cannot be attributed to currently known pathogenic variants.

Methods: To discover pathogenic variants predisposing to prostate cancer, we conducted a familial case-control association study using both genome-wide single-allele and identity-by-descent analytic approaches.

View Article and Find Full Text PDF

Sorghum kernel composition is a crucial characteristic that determines its functional qualities. The total protein content of sorghum grain increases under drought stress, but starch, protein digestibility, and micronutrient contents decrease. Sorghum (Sorghum bicolor L.

View Article and Find Full Text PDF

An InDel variant in the promoter of the NAC transcription factor MdNAC18.1 plays a major role in apple fruit ripening.

Plant Cell

December 2024

Shenzhen Research Institute, State Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.

A complex regulatory network governs fruit ripening, but natural variations and functional differentiation of fruit ripening genes remain largely unknown. Utilizing a genome-wide association study (GWAS), we identified the NAC family transcription factor MdNAC18.1, whose expression is closely associated with fruit ripening in apple (Malus × domestica Borkh.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!