Literature DB >> 30394294

Quantitation of low abundant soluble biomarkers using high sensitivity Single Molecule Counting technology.

Joseph Hwang1, Munmun Banerjee2, Adam S Venable2, Zara Walden2, John Jolly2, Cathleen Zimmerman2, Elizabeth Adkisson2, Qiang Xiao2.   

Abstract

Quantitation of biomarkers in biofluids plays a central role in basic research to management of patient care and is routinely used in clinical laboratories and academic institutions. Standard immunoassays, such as an enzyme-linked immunosorbent assay (ELISA), have provided understanding of both normal and pathological processes for many decades. However, in more recent decades, new immunoassay technologies have uncovered numerous analytes in blood that were once undetectable using traditional ELISAs. To meet this new challenge for quantifying low abundant proteins in biofluids, Single Molecule Counting (SMC™) technology was developed. This new technology is a combination of improvements to both the immunoassay procedure as well as the instrument. The aim of this article is to introduce the new SMCxPRO™ instrument, xPRO Acquisition and Analysis software, and the high sensitivity immunoassay kits validated on this instrument for the detection of low abundant proteins in biofluids, such as serum and plasma. Using this new technology platform, biomarkers that were once unquantifiable can now be quantitated in both normal and diseased biofluids.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Keywords:  Bead-based assay; Femtomolar; SMC; SMCxPRO; Sub-picogram; cTnI

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Year:  2018        PMID: 30394294     DOI: 10.1016/j.ymeth.2018.10.018

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  2 in total

1.  Skin Interstitial Fluid and Plasma Multiplex Cytokine Analysis Reveals IFN-γ Signatures and Granzyme B as Useful Biomarker for Activity, Severity and Prognosis Assessment in Vitiligo.

Authors:  Chau Yee Ng; Yen-Chuan Chiu; Yu-Pei Chan; Yu-Jr Lin; Pei-Han Chung; Wen-Hung Chung; Cheng-Lung Ku
Journal:  Front Immunol       Date:  2022-04-07       Impact factor: 8.786

2.  A panel of anti-influenza virus nucleoprotein antibodies selected from phage-displayed synthetic antibody libraries with rapid diagnostic capability to distinguish diverse influenza virus subtypes.

Authors:  Chung-Ming Yu; Ing-Chien Chen; Chao-Ping Tung; Hung-Pin Peng; Jhih-Wei Jian; Yi-Kai Chiu; Yueh-Liang Tsou; Hong-Sen Chen; Yi-Jen Huang; Wesley Wei-Wen Hsiao; Yong Alison Wang; An-Suei Yang
Journal:  Sci Rep       Date:  2020-08-07       Impact factor: 4.379

  2 in total

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