13 research outputs found
Table listing the lowest detection level within the linear response range for one peptide per protein in the 11-plex AFFIRM assay in the three different magnetic bead systems.
<p>The assay for each target protein in the three systems is rated into three grades of assays, A-C. Rating is based on lowest detected concentration in the linear response range where linear response is defined by an R<sup>2</sup> value above 0.9. The assay grades are defined as; A = 0.05–1 ng/ml; B = 5–12.5 ng/ml; C = 25+ ng/ml of lowest detected peptide level in the linear response range. This detection level is combined with the R<sup>2</sup> value where the assay grade is downgraded one level (i.e. from A to B or from B to C) if the R<sup>2</sup> value is below 0.9. The lowest concentration of detected target proteins within the linear response is displayed as both ng/ml and fmol/ml for respective bead system. The epoxy system could only detect 6 out of the 11 proteins.</p
Schematic figure and features describing the three different scFv magnetic bead coupling strategies; epoxy, streptavidin and anti-FLAG.
<p>The epoxy format is different to the other two in that scFv are coupled directly to the magnetic beads through a covalent coupling to any lysine residue on the scFv. This results in randomly oriented (non-oriented) scFv on the beads. As opposed to the streptavidin-coated beads and M2 anti-FLAG beads where the scFv is immobilized through coupling to the bead surface through a linker at the back-end of the scFv and thus an oriented coupling that is not interfering with the binding site of the scFv. The steptavidin and anti-FLAG formats also require much less scFv and shorter coupling time.</p
Single-plex AFFIRM captures of target proteins KER19 and P85A performed on-bead (left) according to the standard protocol and in-solution (right) using the streptavidin system.
<p>The in-solution captures are allowing antibody and antigen to bind before adding magnetic beads for isolation. Target protein was spiked in serum background from 125 down to 1 ng/ml concentration. Two scFv were used for capture of each protein.</p
Linear response range for one peptide per target protein in the11-plex AFFIRM experiment in a) the anti-FLAG format and b) the streptavidin format, demonstrating detection with linear response down to low ng/ml concentrations for the majority out of the target proteins.
<p>Linear response range for one peptide per target protein in the11-plex AFFIRM experiment in a) the anti-FLAG format and b) the streptavidin format, demonstrating detection with linear response down to low ng/ml concentrations for the majority out of the target proteins.</p
Single-plex captures of target proteins IL6 and GAK in the streptavidin (a, b) anti-FLAG (c, d) and epoxy (e, f) scFv—Magnetic bead coupling system.
<p>Target proteins were enriched for from serum background at spike levels of 50, 5, 0.5 ng/ml and 50 pg/ml. Each concentration point was run in triplicates.</p
Multiplexed (11-plex) captures of target proteins IL6 and GAK using the streptavidin (a, b) anti-FLAG (c, d) and epoxy (e, f) scFv—Magnetic bead coupling system.
<p>Target proteins were enriched for from serum background at spike levels of 100, 50, 25, 12.5, 5, 1, 0.5, 0.1 ng/ml and 50 pg/ml. Each concentration point was run in triplicates.</p
AFFIRMî—¸A Multiplexed Immunoaffinity Platform That Combines Recombinant Antibody Fragments and LC-SRM Analysis
Targeted measurements of low abundance
proteins in complex mixtures
are in high demand in many areas, not the least in clinical applications
measuring biomarkers. We here present the novel platform AFFIRM (AFFInity
sRM) that utilizes the power of antibody fragments (scFv) to efficiently
enrich for target proteins from a complex background and the exquisite
specificity of SRM-MS based detection. To demonstrate the ability
of AFFIRM, three target proteins of interest were measured in a serum
background in single-plexed and multiplexed experiments in a concentration
range of 5–1000 ng/mL. Linear responses were demonstrated down
to low ng/mL concentrations with high reproducibility. The platform
allows for high throughput measurements in 96-well format, and all
steps are amendable to automation and scale-up. We believe the use
of recombinant antibody technology in combination with SRM MS analysis
provides a powerful way to reach sensitivity, specificity, and reproducibility
as well as the opportunity to build resources for fast on-demand implementation
of novel assays
Additional file 1: Table S1. of Proteomic analysis of breast tumors confirms the mRNA intrinsic molecular subtypes using different classifiers: a large-scale analysis of fresh frozen tissue samples
The clinical parameters of the tumors used in the 2D-DIGE analysis are given in this table: Sex, tumor type, BRCA type, age at diagnosis, ER status, PgR status, RNA subtype classification according to Hu, SĂśrlie, and PAM50 and the associated gel number. (PDF 115 kb
Additional file 3: Table S3. of Proteomic analysis of breast tumors confirms the mRNA intrinsic molecular subtypes using different classifiers: a large-scale analysis of fresh frozen tissue samples
The table lists all the proteins identified using MaxQuant, the Protein IDs, protein description, posterior error probability, and confidence score. (PDF 2732 kb
Automated Selected Reaction Monitoring Software for Accurate Label-Free Protein Quantification
Selected reaction monitoring (SRM) is a mass spectrometry
method with documented ability to quantify proteins accurately and
reproducibly using labeled reference peptides. However, the use of
labeled reference peptides becomes impractical if large numbers of
peptides are targeted and when high flexibility is desired when selecting
peptides. We have developed a label-free quantitative SRM workflow
that relies on a new automated algorithm, Anubis, for accurate peak
detection. Anubis efficiently removes interfering signals from contaminating
peptides to estimate the true signal of the targeted peptides. We
evaluated the algorithm on a published multisite data set and achieved
results in line with manual data analysis. In complex peptide mixtures
from whole proteome digests of <i>Streptococcus pyogenes</i> we achieved a technical variability across the entire proteome abundance
range of 6.5–19.2%, which was considerably below the total
variation across biological samples. Our results show that the label-free
SRM workflow with automated data analysis is feasible for large-scale
biological studies, opening up new possibilities for quantitative
proteomics and systems biology