scholarly journals High-Throughput Electrochemical Microfluidic Immunoarray for Multiplexed Detection of Cancer Biomarker Proteins

ACS Sensors ◽  
2016 ◽  
Vol 1 (8) ◽  
pp. 1036-1043 ◽  
Author(s):  
Chi K. Tang ◽  
Abhay Vaze ◽  
Min Shen ◽  
James F. Rusling
Keyword(s):  
High Throughput ◽  
Cancer Biomarker ◽  
Multiplexed Detection

scholarly journals Cancer biomarker discovery for cholangiocarcinoma: the high-throughput approaches

2014 ◽  
Vol 21 (6) ◽  
pp. 388-396 ◽  
Author(s):  
Atit Silsirivanit ◽  
Kanlayanee Sawanyawisuth ◽  
Gregory J. Riggins ◽  
Chaisiri Wongkham
Keyword(s):  
High Throughput ◽  
Biomarker Discovery ◽  
Cancer Biomarker

Encoded Microcarriers for High-Throughput Multiplexed Detection

ChemInform ◽  
2007 ◽  
Vol 38 (1) ◽  
Author(s):  
Robert Wilson ◽  
Andrew R. Cossins ◽  
David G. Spiller
Keyword(s):  
High Throughput ◽  
Multiplexed Detection

Multiplexed Detection of Nanoscale Microcantilever Deflections for High-Throughput Biomolecular Analysis

2001 ◽  
Author(s):  
Chris Dames ◽  
Guanghua Wu ◽  
Henry Lin ◽  
Aran Majumdar
Keyword(s):  
High Throughput ◽  
Surface Stress ◽  
Detection Method ◽  
Initial Deflection ◽  
Fabrication Technique ◽  
Multiplexed Detection ◽  
Molecular Binding ◽  
Parallel Detection ◽  
Order Of Magnitude ◽  
Biomolecular Analysis

Abstract We present the first steps towards a device for the parallel detection of multiple biomolecules through the binding-induced deflection of microcantilevers. In this study the thermal bimorph effect is used to model the changes in surface stress that are caused by molecular binding. A bank of five cantilevers (each 600 μm long, 645 nm thick) is actuated thermally over a range of 3 μm of tip deflection. The cantilevers are illuminated with a laser and the resulting pattern of reflected spots is used to validate a new CCD-based detection method that tracks the deflections of multiple cantilevers simultaneously. A stress-balancing fabrication technique was also implemented to reduce the initial deflection by an nearly order of magnitude.

Encoded Microcarriers For High-Throughput Multiplexed Detection

2006 ◽  
Vol 45 (37) ◽  
pp. 6104-6117 ◽  
Author(s):  
Robert Wilson ◽  
Andrew R. Cossins ◽  
David G. Spiller
Keyword(s):  
High Throughput ◽  
Multiplexed Detection

scholarly journals CAncer bioMarker Prediction Pipeline (CAMPP) - A standardised and user-friendly framework for the analysis of quantitative biological data

2019 ◽  
Author(s):  
Thilde Terkelsen ◽  
Anders Krogh ◽  
Elena Papaleo
Keyword(s):  
High Throughput ◽  
Mirna Gene ◽  
Gene Interaction ◽  
Cancer Biomarker ◽  
Biological Data ◽  
Network Analyses ◽  
Gene Interaction Networks ◽  
Computational Data ◽  
Next Generation Sequencing Ngs ◽  
User Friendly

AbstractMotivationRecent improvements in -omics and next-generation sequencing (NGS) technologies, and the lowered costs associated with generating these types of data, have made the analysis of high-throughput datasets standard, both for forming and testing biomedical hypotheses. Alongside new wet-lab methodologies, our knowledge of how to normalise bio-data has grown extensively. By removing latent undesirable variances, we obtain standardised datasets, which can be more easily compared between studies. These advancements mean that non-experts in bioinformatics are now faced with the challenge of performing computational data analysis, pre-processing and visualisation. One example could be the analysis of biological data to pinpoint disease-related biomarkers for experimental validation. In this case, bio-researchers will desire an easy and standardised way of analysing high-throughput datasets.ResultsHere we present the CAncer bioMarker Prediction Pipeline (CAMPP), an open-source R-based wrapper intended to aid non-experts in bioinformatics with data analyses. CAMPP is called from a terminal command line and is supported by a user-friendly manual. The pipeline may be run on a local computer and requires little or no knowledge of programming. CAMPP performs missing value imputation and normalisation followed by (I) k-means clustering, (II) differential expression/abundance analysis, (III) elastic-net regression, (IV) correlation and co-expression network analyses, (V) survival analysis and (IV) protein-protein/miRNA-gene interaction networks. The pipeline returns tabular files and graphical representations of the results. We hope that CAMPP will assist biomedical researchers in the analysis of quantitative biological data, whilst ensuring an appropriate biostatistical framework.Availability and ImplementationCAMPP is available athttps://github.com/ELELAB/CAMPP

High-sensitivity high-throughput chip based biosensor array for multiplexed detection of heavy metals

2016 ◽  
Author(s):  
Hai Yan ◽  
Naimei Tang ◽  
Grace A. Jairo ◽  
Swapnajit Chakravarty ◽  
Diane A. Blake ◽  
...  
Keyword(s):  
Heavy Metals ◽  
High Throughput ◽  
High Sensitivity ◽  
Multiplexed Detection ◽  
Biosensor Array

scholarly journals Suspension arrays based on nanoparticle-encoded microspheres for high-throughput multiplexed detection

2015 ◽  
Vol 44 (15) ◽  
pp. 5552-5595 ◽  
Author(s):  
Yuankui Leng ◽  
Kang Sun ◽  
Xiaoyuan Chen ◽  
Wanwan Li
Keyword(s):  
High Throughput ◽  
Signal Amplification ◽  
Label Free ◽  
Multiplexed Detection ◽  
Manufacturing Technologies

This review summarizes various nanoparticle-encoded barcodes, manufacturing technologies for barcodes and barcode-based bioanalysis patterns (optical labeling, label-free and signal amplification).

scholarly journals Selection of DNA aptamers for ovarian cancer biomarker HE4 using CE-SELEX and high-throughput sequencing

2015 ◽  
Vol 407 (23) ◽  
pp. 6965-6973 ◽  
Author(s):  
Rachel M. Eaton ◽  
Jamie A. Shallcross ◽  
Liora E. Mael ◽  
Kepler S. Mears ◽  
Lisa Minkoff ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Cancer Biomarker ◽  
Dna Aptamers ◽  
Selection Of
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