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Table 5 Overview of proteomic platforms used for biomarker development

From: Clinical proteomics for prostate cancer: understanding prostate cancer pathology and protein biomarkers for improved disease management

Category

Platform

Multiplex capability

Application

LOD

Advantages

Limitations

Antibody-Based

ELISA

96 proteins per assay

Biomarker evaluation & validation

pg/mL

Highly sensitive for protein(s) of interest

Dependant on antibody availability

Influenced by non-standardised variables e.g. temperature, pH, antibodes used

Large amounts of protein lysate required

Protein microarrays

 > 1000 proteins per screen

Biomarker evaluation & validation

Biomarker discovery

pg/mL

High throughput for multiplexed analysis

Reliant on availability of antibodies

Expensive

Biased to pre-selected proteins if used for biomarker discovery

Two antibodies required per protein

Proximity extension assay (PEA)

Up to 100 proteins per array

Biomarker discovery

pg/mL

High throughput

Highly sensitive for proteins of interest

Expensive

Biased to pre-selected proteins if used for biomarker discovery

Two antibodies required per protein

Aptamer-based

Somascan

Up to 2000 proteins per screen

Biomarker evaluation & validation

Biomarker discovery

fg/mL

Aptamers cheaper to produce

More sensitive than antibody-based techniques

Aptamers available for wider range of molecules

High throughput

Minimal sample required

Biased to pre-selected proteins if used for biomarker discovery

Mass Spectrometry-based

DDA e.g. LC–MS/MS

1000′s of proteins

Biomarker discovery

ng/mL

High throughput

Minimal sample required

Unbiased screen of all detectable proteins

No requirement for antibodies or somamers

Complex sample preparation required

Enrichment techniques required to detect very low abundant proteins in clinical samples

DIA e.g. SWATH &

DIA PASEF

1000′s of proteins

Biomarker discovery

ng/mL

High throughput

Minimal sample required

Unbiased screen of all detectable proteins

No requirement for antibodies or somamers

Increased coverage of sample proteome

Has been optimised for analysis of complex sample types such as FFPE tissue

Complex sample preparation required

Enrichment techniques required to detect very low abundant proteins in clinical samples

Requires specialised Mass Spectrometer

Data storage

MRM

Up to 100 proteins per run

Biomarker evaluation & validation

ng/mL

Highly selective for proteins of interest

High throughput

No requirement for antibodies/somamers

Wide dynamic range

Complex sample preparation required

Can be affected by interfering signal from complex biological samples

Labour intensive method development

PRM

 > 100 proteins per run

Biomarker evaluation & validation

Biomarker discovery

ng/mL

Greater sensitivity than MRM

Interfering signals filtered out

Method development less labour intensive than MRM

Complex sample preparation required

Measurements not as precise as MRM

Higher LOQ than MRM

  1. LOD: Limits of detection; DDA: Data dependent acquisition; DIA: Data independent acquisition; SWATH:; PASEF:Sequential Window Acquisition of All Theoretical Mass Spectra; Parallel accumulation—serial fragmentation; MRM: multiple reaction monitoring; PRM: parallel reaction monitoring