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Constructing Directed Metabolic Networks from Microarray Data
J. M. Easton, T. N. Arvanitis, A. Peet and M. Viant

Although it has been several years since metabolic networks became a commonly used analysis technique in bioinformatics, the question of how best to construct them from experimental data is still not satisfactorily resolved. Here we present a method for the construction of directed metabolic networks from microarray datasets using an enhanced version of the KEGG LIGAND database.

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Biosensors using Surface Plasmon Resonance Dynamic Imaging
J. Hottin, J. Spadavecchia, M. Canva, E. Maillart, M. Anger-Leroy and P. Kerourédan

We study the optical response of a SPRi detection system, characterizing temperature, stringency and time dependence of molecular interactions for the development of a DNA biochip. We are adapting this system and improve its robustness developing applications, as a 900 spots microarray identifying 65 mutations of the cystic fibrosis, for medical uses and industrial commercialization.

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A Novel Array-Based Assay for the Detection of IgG-Mediated Food Intolerance
Andrew Macdonald, Michael J. Walker, Michael S. Walker and Julie G. Reeve

The Genarrayt 200+ Foods IgG test comprises of glass slides onto which 16 microarrays of over 200 different foods have been printed. Each microarray includes standards for quantitation and positive and negative controls for quality control. Food IgGs are detected by a novel fluorescent dye labelled anti-human IgG conjugate and results are measured using a laser scanner. Fluorescence intensity is directly proportional to antibody activity in the sample.

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Clinical Validation of a Protein Microarry Assay for Diagnostics of Autoimmune Disease
S. Judice, D. Pawlak, H Appelhans, A. Frisse, M. Harvey and B. Stillman

We have developed an autoantigen microarray that will allow laboratories to measure the presence of autoantibobies associated with different collagenois and vasculitis-related autoimmune diseases for a single serum sample.

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Simplifying the Flow of Drug Discovery Data
Dr. Jonathan M.R. Davies

Regardless of research disciplines, scientists need to easily reach the information pertinent to their research. Ideally this data access is easy. Researchers also need the ability to ‘move the data around’ to gain a better view or different perspective. This data manipulation needs to be straightforward. Incorporating the varying views and information required by different scientific disciplines is a considerable challenge.

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DNA Microarrays for Microbiological Diagnosis in Stem Cell Cultures
F. Cobo, A. Nieto, P. Catalina, JL. Cortés, A. Barroso, C. Cabrera, R. Montes, A. Barnie and A. Concha

In stem cell cultures there is the possibility of infectious disease transmission to the recipients. Any microbial contamination of the donor`s biological products or introduced during the manufacturing process can potentially present a serious hazard to the recipients. The majority of potential contaminants are mycoplasma and other bacterias, yeasts and fungi. Moreover, viral and prion contamination of cell cultures and “feeder” cells is also a common risk.

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New Methods for Rapid Isothermal Amplification and Detection of Short DNA Sequences

Goal: • Rapid, sensitive, specific, low tech, portable DNA diagnostic device • Detection of clinical pathogens: SARS pathogen, Streptococcus pneumoniae, HSV I & II and biothreat agents: Bacillus anthracis, Brucella species • Detection of single nucleotide polymorphisms (SNPs) • Multiplexed detection format

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Biomathematical Information Compression and Signal Extraction for Gene Expression Microarray Data Analysis
Sofiane Lariani, Elena Comelli, Patrick Descombes and Martin Grigorov

Gene expression Microarray data covers both signal (active key genes) and noise. A tentative to recognize any genes expression pattern without clearing the data is like recognizing faces and details on a jammed TV screen. Noise in this context can be related to fluctuation due to the experimental condition, to outliers, and also genes presenting no modulation between groups. In this work we present a biostatisticalmethod for noise filtering and statistical significance assessment.

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Photochemical Modification of Cyclic Olefin Copolymer Microfluidic Chips for Biomolecule Microarrays and Surface Property Patterning
Qiaosheng Pu, Olufemi Oyesanya, Bowlin Thompson and Julio C. Alvarez

Cyclic olefin copolymer(COC) was used for fabrication of bio-chips. The surface of COC, either outside or inside the micro-channels was modified/patterned with UV initiated surface grafting polymerization of acrylic monomers for obtaining different hydrophilicity, surface charge and reactive groups. DNA, avidin and biotin arrays were made through carboxylic patterns.

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Showing Results 111 - 120 of 136
Scientific News
Stanford Engineers Discover How to Record the Forensic History of Chemical Contaminations in Water
An invention called a time capsule is a tiny chemistry lab designed to take a fingerprint of contamination and also disclose when it occurred.
Wallet-Sized Labs The Next Big Thing
RMIT researchers are developing inexpensive, portable toxicology laboratories so small you could fit them in your wallet.
Device Invented at Johns Hopkins Provides Up-close Look at Cancer on the Move
Microscopic view of metastasis could give insight about how to keep cancer in check.
A Medical Lab For The Home
Fraunhofer FIT demonstrates a mobile wireless system that monitors the health of elderly people in their own homes, using miniature sensors.
Detecting Prostate Cancer With a Microfluidic Device
Innovative device detects prostate cancer, kidney disease on the spot.
Hello? Sweat and a Smartphone Could Become The Hot New Health Screening
A new article highlighting UC research reveals how sweat and microfluidics can pinpoint and help dodge potential health issues for everyone from athletes to preemies.
New 'Lab-on-a-Chip' Could Revolutionize Early Diagnosis of Cancer
Faster result times, reduced costs, minimal sample demands and better sensitivity of analysis.
How Fluid Flow Influences Neuron Growth
A University of Texas at Arlington team exploring how neuron growth can be controlled in the lab and, possibly, in the human body has published a new paper in Nature Scientific Reports on how fluid flow could play a significant role.
‘Tissue Chip’ to Screen Neurological Toxins
UW-Madison team are developing a faster, more affordable way to screen for neural toxins.
Modular Components Make Building 3-D “Labs-on-a-Chip” a Snap
New building blocks take microfluidics from flat to 3-D quickly and easily.
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