Literature DB >> 16445349

ELISA microarray technology as a high-throughput system for cancer biomarker validation.

Richard C Zangar1, Don S Daly, Amanda M White.   

Abstract

A large gap currently exists between the ability to discover potential biomarkers and the ability to assess the real value of these proteins for cancer screening. One major challenge in biomarker validation is the inherent variability in biomarker levels. This variability stems from the diversity across the human population and the considerable molecular heterogeneity between individual tumors, even those that originate from a single tissue. An additional challenge with cancer screening is that most cancers are rare in the general population, meaning that assay specificity must be very high. Otherwise, the number of false positives will be much greater than the number of true positives. Due to these challenges associated with biomarker validation, it is necessary to analyze thousands of samples in order to obtain a clear idea of the utility of a screening assay. Enzyme-linked immunosorbent assay (ELISA) microarray technology can simultaneously quantify levels of multiple proteins and, thus, has the potential to accelerate validation of protein biomarkers for clinical use. This review will discuss current ELISA microarray technology and potential advances that could help to achieve the reproducibility and throughput that are required to evaluate cancer biomarkers.

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Year:  2006        PMID: 16445349     DOI: 10.1586/14789450.3.1.37

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  30 in total

1.  A proteomics platform combining depletion, multi-lectin affinity chromatography (M-LAC), and isoelectric focusing to study the breast cancer proteome.

Authors:  Zhi Zeng; Marina Hincapie; Sharon J Pitteri; Samir Hanash; Joost Schalkwijk; Jason M Hogan; Hong Wang; William S Hancock
Journal:  Anal Chem       Date:  2011-05-23       Impact factor: 6.986

2.  Macrophage responses to silica nanoparticles are highly conserved across particle sizes.

Authors:  Katrina M Waters; Lisa M Masiello; Richard C Zangar; Barbara J Tarasevich; Norman J Karin; Ryan D Quesenberry; Somnath Bandyopadhyay; Justin G Teeguarden; Joel G Pounds; Brian D Thrall
Journal:  Toxicol Sci       Date:  2008-12-10       Impact factor: 4.849

3.  ELISA-BASE: an integrated bioinformatics tool for analyzing and tracking ELISA microarray data.

Authors:  Amanda M White; James R Collett; Shannon L Seurynck-Servoss; Don S Daly; Richard C Zangar
Journal:  Bioinformatics       Date:  2009-04-03       Impact factor: 6.937

4.  Microarray methods for protein biomarker detection.

Authors:  Hye Jin Lee; Alastair W Wark; Robert M Corn
Journal:  Analyst       Date:  2008-06-05       Impact factor: 4.616

5.  A microfluidic competitive immuno-aggregation assay for high sensitivity cell secretome detection.

Authors:  Fan Liu; Pawan Kc; Liwei Ni; Ge Zhang; Jiang Zhe
Journal:  Organogenesis       Date:  2018-06-08       Impact factor: 2.500

6.  Tiny grains give huge gains: nanocrystal-based signal amplification for biomolecule detection.

Authors:  Sheng Tong; Binbin Ren; Zhilan Zheng; Han Shen; Gang Bao
Journal:  ACS Nano       Date:  2013-05-13       Impact factor: 15.881

7.  Simultaneous and sensitive detection of six serotypes of botulinum neurotoxin using enzyme-linked immunosorbent assay-based protein antibody microarrays.

Authors:  Yanfeng Zhang; Jianlong Lou; Kathy L Jenko; James D Marks; Susan M Varnum
Journal:  Anal Biochem       Date:  2012-08-27       Impact factor: 3.365

8.  Evaluation of surface chemistries for antibody microarrays.

Authors:  Shannon L Seurynck-Servoss; Amanda M White; Cheryl L Baird; Karin D Rodland; Richard C Zangar
Journal:  Anal Biochem       Date:  2007-07-25       Impact factor: 3.365

Review 9.  Unleashing the power of proteomics to develop blood-based cancer markers.

Authors:  Ayumu Taguchi; Samir M Hanash
Journal:  Clin Chem       Date:  2012-10-24       Impact factor: 8.327

10.  Sensitive detection of protein and miRNA cancer biomarkers using silicon-based photonic crystals and a resonance coupling laser scanning platform.

Authors:  Sherine George; Vikram Chaudhery; Meng Lu; Miki Takagi; Nabil Amro; Anusha Pokhriyal; Yafang Tan; Placid Ferreira; Brian T Cunningham
Journal:  Lab Chip       Date:  2013-08-20       Impact factor: 6.799

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