Literature DB >> 25203940

A sensitive phage-based capture ELISA for sub-femtomolar detection of protein variants directly from biological samples.

Stephanie Williams1, Philip Schulz, Michael R Sierks.   

Abstract

To determine the role of proteins, and in particular protein variants, in human health, it may often be necessary to quantitatively determine the concentration of a specific protein variant present in complex biological samples such as blood, cerebral spinal fluid (CSF), or tissue. Many protein variants are present only at trace levels and therefore a simple assay with very high sensitivity and reliability would greatly facilitate correlation of the presence of particular protein variants with the progression of specific diseases. We have developed a simple phage based capture ELISA system that enables femtomolar or better detection of individual protein variants directly from complex biological samples. The protocol utilizes a capture reagent that selectively recognizes a unique epitope of the protein variant and a phage based detection reagent that binds to a second epitope present in all forms of the target protein. The phage based detection reagent is essentially a self-assembling nanoparticle consisting of several thousand coat proteins that can each be labeled to amplify the detection signal by several orders of magnitude. Here we demonstrate that we can achieve subfemtomolar detection of individual protein variants that have been implicated in neurodegenerative disease directly from complex tissue homogenates and sera. The ELISA system should facilitate identification of disease specific protein variants or other compounds even when present at trace amounts in samples including blood, CSF, saliva and urine.
© 2014 American Institute of Chemical Engineers.

Entities:  

Keywords:  elisa; femtomolar sensitivity; phage; protein variant

Mesh:

Substances:

Year:  2014        PMID: 25203940     DOI: 10.1002/btpr.1987

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  8 in total

1.  CNS disease-related protein variants as blood-based biomarkers in traumatic brain injury.

Authors:  Stephanie M Williams; Carrie Peltz; Kristine Yaffe; Philip Schulz; Michael R Sierks
Journal:  Neurology       Date:  2018-10-09       Impact factor: 9.910

2.  Isolation and characterization of antibody fragments selective for toxic oligomeric tau.

Authors:  Huilai Tian; Eliot Davidowitz; Patricia Lopez; Ping He; Philip Schulz; James Moe; Michael R Sierks
Journal:  Neurobiol Aging       Date:  2014-12-11       Impact factor: 4.673

3.  Oligomeric α-synuclein and β-amyloid variants as potential biomarkers for Parkinson's and Alzheimer's diseases.

Authors:  Stephanie M Williams; Philip Schulz; Michael R Sierks
Journal:  Eur J Neurosci       Date:  2015-10-15       Impact factor: 3.386

4.  α-synuclein conformational antibodies fused to penetratin are effective in models of Lewy body disease.

Authors:  Brian Spencer; Stephanie Williams; Edward Rockenstein; Elvira Valera; Wei Xin; Michael Mante; Jazmin Florio; Anthony Adame; Eliezer Masliah; Michael R Sierks
Journal:  Ann Clin Transl Neurol       Date:  2016-06-16       Impact factor: 4.511

5.  TDP-43 protein variants as biomarkers in amyotrophic lateral sclerosis.

Authors:  Stephanie M Williams; Galam Khan; Brent T Harris; John Ravits; Michael R Sierks
Journal:  BMC Neurosci       Date:  2017-01-25       Impact factor: 3.288

Review 6.  Alpha-synuclein oligomers: a new hope.

Authors:  Nora Bengoa-Vergniory; Rosalind F Roberts; Richard Wade-Martins; Javier Alegre-Abarrategui
Journal:  Acta Neuropathol       Date:  2017-08-12       Impact factor: 17.088

7.  Isolation and characterization of antibody fragments selective for human FTD brain derived TDP-43 variants.

Authors:  Lalitha Venkataraman; Ping He; Galam Khan; Brent T Harris; Michael R Sierks
Journal:  BMC Neurosci       Date:  2020-09-04       Impact factor: 3.288

8.  Toxic Oligomeric Alpha-Synuclein Variants Present in Human Parkinson's Disease Brains Are Differentially Generated in Mammalian Cell Models.

Authors:  Wei Xin; Sharareh Emadi; Stephanie Williams; Qiang Liu; Philip Schulz; Ping He; Now Bahar Alam; Jie Wu; Michael R Sierks
Journal:  Biomolecules       Date:  2015-07-22
  8 in total

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