Literature DB >> 16489239

Detection and quantification of protein biomarkers from fewer than 10 cells.

Saju Nettikadan1, Korinna Radke, James Johnson, Juntao Xu, Michael Lynch, Curtis Mosher, Eric Henderson.   

Abstract

The use of antibody microarrays continues to grow rapidly due to the recent advances in proteomics and automation and the opportunity this combination creates for high throughput multiplexed analysis of protein biomarkers. However, a primary limitation of this technology is the lack of PCR-like amplification methods for proteins. Therefore, to realize the full potential of array-based protein biomarker screening it is necessary to construct assays that can detect and quantify protein biomarkers with very high sensitivity, in the femtomolar range, and from limited sample quantities. We describe here the construction of ultramicroarrays, combining the advantages of microarraying including multiplexing capabilities, higher throughput, and cost savings with the ability to screen very small sample volumes. Antibody ultramicroarrays for the detection of interleukin-6 and prostate-specific antigen (PSA), a widely used biomarker for prostate cancer screening, were constructed. These ultramicroarrays were found to have a high specificity and sensitivity with detection levels using purified proteins in the attomole range. Using these ultramicroarrays, we were able to detect PSA secreted from 100 LNCaP cells in 3 h and from just four LNCaP cells in 24 h. Cellular PSA could also be detected from the lysate of an average of just six cells. This strategy should enable proteomic analysis of materials that are available in very limited quantities such as those collected by laser capture microdissection, neonatal biopsy microspecimens, and forensic samples.

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Year:  2006        PMID: 16489239     DOI: 10.1074/mcp.M500350-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  10 in total

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2.  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

Review 3.  Antibody array-based technologies for cancer protein profiling and functional proteomic analyses using serum and tissue specimens.

Authors:  Marta Sanchez-Carbayo
Journal:  Tumour Biol       Date:  2010-01-21

4.  Real-time sensing and discrimination of single chemicals using the channel of phi29 DNA packaging nanomotor.

Authors:  Farzin Haque; Jennifer Lunn; Huaming Fang; David Smithrud; Peixuan Guo
Journal:  ACS Nano       Date:  2012-04-09       Impact factor: 15.881

Review 5.  Proteomic strategies and challenges in tumor metastasis research.

Authors:  Petra Hudler; Masa Gorsic; Radovan Komel
Journal:  Clin Exp Metastasis       Date:  2010-07-07       Impact factor: 5.150

6.  Excimer-monomer fluorescence changes by supramolecular disassembly for protein sensing and quantification.

Authors:  Hongxu Liu; Jenna Westley; S Thayumanavan
Journal:  Chem Commun (Camb)       Date:  2021-09-23       Impact factor: 6.065

Review 7.  Innovations, challenges and future prospects of oncoproteomics.

Authors:  Kewal K Jain
Journal:  Mol Oncol       Date:  2008-05-28       Impact factor: 6.603

8.  Hyperspectral imaging-based exosome microarray for rapid molecular profiling of extracellular vesicles.

Authors:  Yifei Wang; Qinming Zhang; Wang Yuan; Yixuan Wang; Hannah J Loghry; Zijian Zhao; Michael J Kimber; Liang Dong; Meng Lu
Journal:  Lab Chip       Date:  2020-12-08       Impact factor: 6.799

9.  Measurement of the Drug Sensitivity of Single Prostate Cancer Cells.

Authors:  Fikri Abali; Narges Baghi; Lisanne Mout; Joska J Broekmaat; Arjan G J Tibbe; Leon W M M Terstappen
Journal:  Cancers (Basel)       Date:  2021-12-02       Impact factor: 6.639

Review 10.  Proteomics technologies and challenges.

Authors:  William C S Cho
Journal:  Genomics Proteomics Bioinformatics       Date:  2007-05       Impact factor: 7.691

  10 in total

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