Quantitative analysis of protein biomarkers in plasma is typically done by ELISA, but this method is limited by the availability of high-quality antibodies. An alternative approach is protein immunoprecipitation combined with multiple reaction monitoring mass spectrometry (IP-MRM). We compared IP-MRM to ELISA for the analysis of six colon cancer biomarker candidates (metalloproteinase inhibitor 1 (TIMP1), cartilage oligomeric matrix protein (COMP), thrombospondin-2 (THBS2), endoglin (ENG), mesothelin (MSLN) and matrix metalloproteinase-9 (MMP9)) in plasma from colon cancer patients and noncancer controls. Proteins were analyzed by multiplex immunoprecipitation from plasma with the ELISA capture antibodies, further purified by SDS-PAGE, digested and analyzed by stable isotope dilution MRM. IP-MRM provided linear responses (r = 0.978-0.995) between 10 and 640 ng/mL for the target proteins spiked into a "mock plasma" matrix consisting of 60 mg/mL bovine serum albumin. Measurement variation (coefficient of variation at the limit of detection) for IP-MRM assays ranged from 2.3 to 19%, which was similar to variation for ELISAs of the same samples. IP-MRM and ELISA measurements for all target proteins except ENG were highly correlated (r = 0.67-0.97). IP-MRM with high-quality capture antibodies thus provides an effective alternative method to ELISA for protein quantitation in biological fluids.
Quantitative analysis of protein biomarkers in plasma is typically done by ELISA, but this method is limited by the availability of high-quality antibodies. An alternative approach is protein immunoprecipitation combined with multiple reaction monitoring mass spectrometry (IP-MRM). We compared IP-MRM to ELISA for the analysis of six colon cancer biomarker candidates (metalloproteinase inhibitor 1 (TIMP1), cartilage oligomeric matrix protein (COMP), thrombospondin-2 (THBS2), endoglin (ENG), mesothelin (MSLN) and matrix metalloproteinase-9 (MMP9)) in plasma from colon cancerpatients and noncancer controls. Proteins were analyzed by multiplex immunoprecipitation from plasma with the ELISA capture antibodies, further purified by SDS-PAGE, digested and analyzed by stable isotope dilution MRM. IP-MRM provided linear responses (r = 0.978-0.995) between 10 and 640 ng/mL for the target proteins spiked into a "mock plasma" matrix consisting of 60 mg/mL bovineserum albumin. Measurement variation (coefficient of variation at the limit of detection) for IP-MRM assays ranged from 2.3 to 19%, which was similar to variation for ELISAs of the same samples. IP-MRM and ELISA measurements for all target proteins except ENG were highly correlated (r = 0.67-0.97). IP-MRM with high-quality capture antibodies thus provides an effective alternative method to ELISA for protein quantitation in biological fluids.
Quantitative analysis of protein
biomarkers is one of the most challenging tasks in biomedical research.[1] Enzyme-linked immunosorbent assay (ELISA) is
widely used for protein quantitation in human serum or plasma owing
to its high sensitivity and throughput. However, the availability
of high-quality ELISAs for biomarker candidates is limited, and the
performance characteristics of many commercially marketed ELISAs are
poorly documented or unknown.[2] Development
of ELISAs is also expensive and time-consuming. The limitations of
ELISA, combined with the large numbers of biomarker candidates emerging
from genomic and proteomic discovery studies, have created a need
for alternative means of targeted protein quantitation.[1]Multiple reaction monitoring (MRM) mass spectrometry has emerged
as a versatile platform for systematic development of targeted protein
assays and which can serve as an alternative to ELISA in biomarker
research.[3,4] MRM assays target sequence-specific tandem
MS fragmentations of proteotypic peptides, thereby providing highly
selective measurements for distinct proteins. Without fractionation
or enrichment strategies, MRM assays allow for the quantitation of
protein in the low μg/mL or high ng/mL concentration range,[5−7] whereas immunoaffinity depletion of abundant blood proteins and
minimal protein fractionation can enable quantitation in the low ng/mL
range.[8−10] A recently described method called PRISM combined
targeted peptide-level preselection with MRM to achieve high sensitivity
measurements without antibody capture.[2]Immunoaffinity capture of intact proteins or their peptides after
digestion can dramatically enhance the sensitivity of MRM assays.
Anderson and colleagues introduced an immuno-MRM assay approach (Stable
Isotope Standards with Capture by Antipeptide Antibodies; SISCAPA),
in which proteotypic tryptic peptides and their corresponding spiked
stable isotope-labeled internal standards are captured by antibodies
raised against the peptides.[11] This approach
has been extensively developed by several laboratories[10,12−14] and used to systematically develop and implement
targeted assays for candidate biomarkers[15,16] and implement, as a prototype, clinical assay for thyroglobulin.[17]An alternate approach was described by Berna et al., who used immunoaffinity
enrichment of intact proteins followed by digestion and MRM to quantify
protein biomarkers of cardiovascular disease.[18,19] Nicol et al.[20] demonstrated that multiple
antibodies immobilized on hydrazide beads could simultaneously enrich
several candidate lung cancer biomarkers in serum for MRM measurements
in the low ng/mL range. Targeted quantitation can be extended to sequence
variant proteins using the same approach.[21] Protein-capture-based immuno-MRM (IP-MRM) assays have been less
thoroughly explored than peptide-capture-based assays.We asked how the analytical performance of IP-MRM would compare
to that for ELISA. To address this question, we employed six commercially
available ELISAs to measure candidate biomarker proteins for colon
cancer in plasma of cancerpatients and noncancer controls. We obtained
the capture antibodies used in the ELISAs from the manufacturer and
then configured immuno-MRM assays for the six proteins. Our analyses
provide the first reported comparison of an IP-MRM assay to ELISA
with the same samples and reagents.
Experimental Procedures
Chemicals and Reagents
Trypsin (sequencing grade) was
purchased from Promega (Madison, WI). Isotope-labeled peptides were
obtained from New England Peptide (Gardner, MA) with either U–13C6, U–15N2-lysine
(+8 Da) or U–13C6, U–15N4-arginine (+10 Da) at the peptide C terminus. Chemical
purity was ranged from 95 to 99% and isotopic purity was greater than
99%. Peptide concentrations were benchmarked by amino acid analysis
performed by the supplier. TIMP1, THBS2, COMP, MSLN, ENG, MMP9 antibodies
and ELISA kits were purchased from R&D Systems (Minneapolis, MN).
ELISAs were performed according to the manufacturer’s recommendations.
TIMP1, ENG and MMP9 recombinant proteins were purchase from Sino Biological
(Beijing, China). THBS2, COMP and MSLN recombinant proteins were from
R&D Systems. Identities of all recombinant proteins were confirmed
by SDS-PAGE (Figure S1A [Supporting Information (SI)]) and tandem mass spectrometry (Figure S2–S7 [SI]) analysis of tryptic digests. All other chemical
reagents were purchased from commercial sources and were used without
further purification.
Collection and Storage of Plasma
Human plasma samples
were collected during surgery for either colon carcinoma or for inguinal
hernia repair in accordance with the Ayers Institute protocol at Vanderbilt
University Medical Center (IRB#110877). Samples from colon cancerpatients undergoing surgery at Vanderbilt University between August
2011 and June 2012 with a successful collection were used in the study.
Control samples were chosen from a larger group of inguinal hernia
repair patients who underwent surgery during the same time period.
Peripheral whole blood samples were collected preoperatively in EDTAlavender top vacutainer tubes (BD Vacutainer, catalog number 366643)
and gently mixed by inverting the tube 8–10 times. Plasma was
separated by centrifugation at 1500g for 10 min at
4 °C. Aliquots (0.2 mL) were taken and stored at −80 °C
until needed.
Antibody Immobilization
Antibodies were immobilized
on aldehyde beads (Thermo Scientific, catalog number 26148) according
to the manufacturer’s protocol with minor modifications. Briefly,
antibodies were dissolved in PBS buffer (0.01 M sodium phosphate,
0.15 sodium chloride, pH 7.2) and incubated with coupling resin and
75 μM sodium cyanoborohydride at room temperature on a rotator.
An aliquot was collected before and after binding for determination
of binding efficiency by protein bicinchoninic acid assay. After immobilization,
the active aldehyde sites on the resin were blocked with 1 M Tris
buffer and 75 μM sodium cyanoborohydride followed by several
washes with PBS to remove any nonbound antibody. After determining
the binding efficiency, the immobilized resins for all antibodies
were either combined or directly aliquoted such that ∼1 μg
of each immobilized antibody was used for each immunoprecipitation.
Protein Capture and Sample Preparation for MRM
Plasma
(50 μL) was diluted 5-fold with RIPA buffer containing a protease
inhibitor cocktail (Roche, catalog number 11873580001). Diluted plasma
was incubated with the immobilized antibody resin overnight at 4 °C
with gentle shaking. The resin was washed three times with 0.5 mL
RIPA buffer, and the bound proteins were eluted into 15 μL of
2X NuPAGE lithium dodecyl sulfate loading buffer (Invitrogen, Carsbad,
CA) containing 50 mM DTT by incubation at 95 °C for 5 min. The
eluted proteins then were loaded and separated by SDS-PAGE on a NuPAGE
Novex 10% Bis Tris mini gel (Invitrogen NP0301BOX). A protein molecular
weight standard (Precision Plus Protein Kaleidoscope Standard, Bio-Rad,
Hercules, CA) was loaded in one lane on each gel and used for estimation
of relative mass determination of captured proteins.After electrophoresis
at a constant 180 V for 20 min, gels were washed three times with
deionized water, stained with SimplyBlue SafeStain (Invitrogen) for
1 h, and destained with deionized water at 4 °C overnight. From
each gel lane, fractions were taken to enable targeted analysis of
the target proteins. For TIMP1, a molecular weight fraction of 25–37
kDa was collected. For analysis of the remaining five proteins, a
molecular weight range of 75–200 kDa THBS2, COMP and MMP9 and
another of 37–75 kDa for ENG and MSLN were excised from the
gel, cut into 1 mm cubes, and placed in 100 μL of 100 mM ammonium
bicarbonate. Samples were reduced with 5 μL of 100 mM DTT for
15 min at 50 °C and alkylated with 15 μL of 100 mM iodoacetamide
for 30 min at room temperature in the dark. Excess dye was removed
from gel slices with two exchanges of 100 μL 50% acetonitrile/50
mM ammonium bicarbonate and subsequently dehydrated with 100% acetonitrile.
The solvent was removed from the gel pieces under vacuum. The residue
was resuspended in 0.01 μg/μL MS grade trypsin (Promega,
Madison, WI) in 25 mM ammonium bicarbonate containing a standard mixture
of heavy isotope-labeled peptides for the analytes (20 fmol/peptide)
and incubated at 37 °C overnight. Peptides were extracted with
60% acetonitrile containing 1% formic acid, and then each fraction
was evaporated under vacuum. Samples were redissolved for MRM analysis
in 30 μL of 5% acetonitrile containing 0.1% formic acid.
MRM Analysis
MRM analyses were performed on a TSQ Vantage
triple quadrupole mass spectrometer (ThermoFisher Scientific, San
Jose, CA) equipped with an Eksigent Ultra nanoLC solvent delivery
system, microautosampler and a nanospray source. Sample peptides (3
μL injection volume) were loaded onto a 75 μm × 11
cm PicoFrit column (PF360-75-10-N-5, New Objective, Inc., Woburn,
MA) packed with 3 μm, ReproSil-PurC18-AQ (Dr. Maisch, Ammerbuch-Entringen,
Germany). Liquid chromatography was carried out at a flow rate of
300 nL/min with a mobile phase consisting of 0.1% formic acid in either
HPLC grade water (solvent A) or 90% acetonitrile (solvent B). An elution
gradient was programmed from 97% A for 1 min, then increased to 7%
B over 4 min, 25% B over 15 min, 40% B over 7 min, 90% B by 40 min,
and then held at that composition for 10 min before returning to 97%
solvent A over 1 min. Mobile phase composition then was held at this
initial condition for 29 min prior to the next analysis. Instrument
parameters included Q2 gas 1.5 mTorr, scan width 0.005 Th, scan time
10 ms, and both Q1 and Q3 resolution fwhm 0.7. Proteotypic peptides
and MRM transitions were selected with the Skyline software utility[22] and were further optimized by analyses of tryptic
digests of recombinant proteins on the TSQ Vantage triple quadrupole
mass spectrometer.
Selection of Peptides and MRM Transitions
Target peptides
were chosen according to previously published criteria.[20,23,24] We digested the recombinant proteins
and determined the resultant peptides by monitoring all possible tryptic
peptides between 8 and 22 amino acids in LC–MS experiments
using the product scan mode. Where recombinant protein was not available,
selection of peptides and transitions were selected on the basis of
observations from previous discovery experiments, observed peptides
in open proteomics databases, or computational predicted peptides
through algorithms such as enhanced signature peptide (ESP) predictor.[25] Peptides containing methionine residues as well
as those containing post-translational modification sites such as
glycosylation listed in the UniProt database (to minimize interference
on digestion) were excluded. All peptides were run through BLASTP
(Uniprot) to ensure their uniqueness to the protein of interest. Peptides
and transitions selected for each protein are shown in Table S1 (SI).
Data Analysis
MRM data acquired on the TSQ Vantage
triple quadrupole mass spectrometer were analyzed with Skyline software.[22] Peak integrations were manually reviewed and
transitions from peptides measured were confirmed by the same retention
times and transition patterns of the light peptides and synthetic
heavy, stable isotope-labeled peptides. Peak areas for the four most
intense MRM transitions were integrated and summed to generate a peptide
peak area, which was divided by the peptide peak area for the internal
standard heavy peptide. For each protein, the unique peptide that
generated the highest summed peak area signal was used to quantify
the protein of interest.
Results
Biomarker Candidate Proteins and Overview of Approach
Six biomarker candidate proteins (TIMP1, ENG, MSLN, THBS2, MMP9 and
COMP) were selected on the basis of literature reports, which suggest
that they are overexpressed in colon cancers or because differential
expression of these proteins in blood was associated with cancer.[26−32] We also chose these candidates because well-characterized, commercially
available ELISAs were available for each. Moreover, the same capture
antibodies used in the ELISAs were available to us for evaluation
in IP-MRM assays. To analyze the biomarker candidates in plasma, we
performed either single-protein or multiplexed immunoprecipitations
and then resolved the target proteins into molecular weight fractions
by SDS-PAGE (Figure S1B [SI]). The gel
bands were digested and the digests were spiked with isotope-labeled
standards and analyzed by MRM. The MRM signals from each peptide were
shown to be consistent with their corresponding isotope labeled peptides
in both retention time and transient patterns (Figure S8 [SI]).
Initial Characterization of IP-MRM and ELISA for Analysis of
TIMP1
Recombinant TIMP1 protein was spiked into a “mock
plasma” matrix consisting 60 mg/mL BSA in PBS to mimic the
human plasma environment and provide a defined analyte concentration
for estimation of recovery. A 2-fold dilution series ranging from
640 to 10 ng/mL was constructed and a plot showing the theoretical
TIMP1 concentration versus the calculated protein concentration is
shown in Figure 1A (the theoretical TIMP1 concentration
versus the ratio L/H is also shown in Figure S9A (SI). The calculated protein concentration was calculated from
the measured peak area ratio of the light to heavy peptides. The slope
(0.329) indicated TIMP1 recovery after all process steps including
immunoaffinity capture, trypsin digestion and peptide extraction.
The limit of detection (LOD) was 2.5 ng/mL (Table 1).
Figure 1
Response curves for IP-MRM analyses of recombinant TIMP1, COMP,
MMP9, THBS2, MSLN and ENG proteins. Proteins were spiked at 10–640
ng/mL in a background matrix of 60 mg/mL BSA in DPBS and analyzed
by IP-MRM as described in Experimental Procedures. Values plotted are mean ± standard deviation (n = 3).
Table 1
Measurement summaries for biomarker
candidates by IP-MRM assay and ELISA
protein
TIMP1
COMP
MMP9
THBS2
MSLN
ENG
IP-MRM
peptide
GFQALGDAADIR
ELQETNAALQDVR
AVIDDAFAR
ACVGDVQER
TDAVLPLTVAEVQK
VLPGHSAGPR
linearity r
0.979
0.995
0.979
0.984
0.991
0.978
recovery (%)
33
50
41
13.5
55
16
LLODa (ng/mL)
2.5
5.1
3.0
2.0
8.9
5.6
CV at 10 ng/mL (%)
2.3
17
10
7
12
19
normalb (n = 12)
141 ± 41
153 ± 62
111 ± 46
10.5 ± 7.9
8.3 ± 3.5
10.1 ± 3.9
cancer (n = 12)
212 ± 59c
221 ± 117
141 ± 96c
21 ± 10
14.1 ± 8.5
8.6 ± 1.5
P valued
0.0028
0.091
0.34
0.010
0.041
0.26
ELISA
LLOQe (ng/mL)
0.313
0.156
0.313
0.313
0.156
0.156
CV at LLOQ (%)
13.4
0.0
2.8
2.9
8.8
2.3
normal (n = 12)
97 ± 16
178 ± 59
117 ± 61
26 ± 6
22 ± 8
3.9 ± 0.8
cancer (n = 12)
120 ± 35c
208 ± 124
107 ± 73c
33 ± 9
22 ± 10
4.5 ± 0.9
P valued
0.060
0.44
0.73
0.035
1.0
0.10
LLOD, lower limit of detection.
Values are mean ± SD.
n = 11.
Unpaired t test.
The ELISA lower limit of quantitation
(LLOQ) was based on the lowest concentration for the manufacturer’s
specified calibration curve. Plasma samples were analyzed at the dilution
recommended by the manufacturer.
Response curves for IP-MRM analyses of recombinant TIMP1, COMP,
MMP9, THBS2, MSLN and ENG proteins. Proteins were spiked at 10–640
ng/mL in a background matrix of 60 mg/mL BSA in DPBS and analyzed
by IP-MRM as described in Experimental Procedures. Values plotted are mean ± standard deviation (n = 3).LLOD, lower limit of detection.Values are mean ± SD.n = 11.Unpaired t test.The ELISA lower limit of quantitation
(LLOQ) was based on the lowest concentration for the manufacturer’s
specified calibration curve. Plasma samples were analyzed at the dilution
recommended by the manufacturer.Next, IP-MRM was used to measure TIMP1 in 12 50 μL plasma
aliquots from patients with colon cancer and in 12 samples from noncancer
controls. The same samples were also analyzed with a commercial ELISA
kit with the same capture antibody (Figure S10A [SI]). The mean values in IP-MRM analyses in plasma samples
from cancerpatients and controls were 212 ng/mL and 141 ng/mL, respectively,
which was a significant difference (unpaired t test, p = 0.0028) (Table 1). In ELISA analyses,
the mean TIMP1 levels in plasma samples from cancerpatients and controls
were 120 ng/mL and 97 ng/mL, which were not significantly different
(unpaired t test, p = 0.06).
Comparison of Multiplexed IP-MRM Assay with ELISA
A
key advantage of MRM-based methods is the capacity for multiplexed
analyses, which can increase analysis throughput and minimize sample
consumption. We performed a multiplexed IP-MRM analysis of the remaining
proteins (ENG, MSLN, THBS2, MMP9 and COMP), which were spiked into
a “mock plasma” matrix consisting of 60 mg/mL BSA in
PBS to produce concentrations ranging from 640 to 10 ng/mL. Antibodies
for the five proteins (one antibody for each protein) were immobilized
on the resin, mixed and aliquoted. The mixed antibody resin (1 μg/antibody/analyte)
was incubated with solutions of BSA matrix containing the spiked target
proteins. Each concentration point and blank was prepared in triplicate.
Plots of calculated protein concentration determined by the peak area
ratio of the light peptide to heavy peptide (L/H) showed a linear
increase in measured protein across the concentration range (Figure 1B–F) (the theoretical protein concentration
versus the ratio L/H is also shown in Figure S9B–F [SI]).Recoveries were determined for each
of the five proteins based on the slope of the response curve and
ranged from 13.5% (THBS2) to 55% (MSLN). We note that both THBS2 and
ENG yielded lower slopes than the other proteins. This could reflect
less efficient capture or digestion for these proteins, or some combination
of both effects. LOD values were determined by comparing the variance
of the blank samples (with no analyte spiked in) to the variance of
the lowest level spiked sample (analyte at 10 ng/mL).[9] The LOD values were between 2 and 10 ng/mL (Table 1). On the basis of triplicate measurements at the
lowest spiked concentration (10 ng/mL) for each protein, CV values
were all below 20% (Table 1).All five proteins were analyzed individually by ELISA in plasma
samples from 12 cancerpatients and from 12 controls (11 cancer plasma
samples were analyzed for TIMP1 and MMP9). The mean concentrations
of these five proteins determined by ELISA in plasma samples from
normal and cancerpatients ranged from 3.9 ng/mL (ENG) to 208 ng/mL
(COMP) (Figure S10B–F [SI]), Table 1). For IP-MRM analyses, the mixed antibody resin
(1 μg antibody/analyte) was used to simultaneously capture all
five protein targets. Three aliquots of each colon cancer and normal
plasma sample were analyzed by IP-MRM. The mean concentrations of
these five proteins determined by IP-MRM ranged from 8.3 ng/mL (ENG)
to 221 ng/mL (COMP) (Figure S10B–F [SI]), Table 1). Comparison of measured values
between normal and cancer plasma samples with either ELISA or IP-MRM
yielded only two significant differences (p <
0.05, unpaired student t test) for TIMP1 and THBS2,
but only when measured by IP-MRM (Table 1).
Comparison of IP-MRM and ELISA Measurements across Individual
Samples
We asked how the IP-MRM and ELISA methods compared
for measurement of the six biomarker candidate proteins across individual
samples. Figure 2 shows paired comparisons
of measurements with the two analysis methods for each sample. The
data indicate that the concordance of measurements depends on both
the analyte and the method. Analysis of the average measured plasma
concentrations for all analytes and all samples indicated that the
IP-MRM measurements were higher by 8.6 ng/mL at (p = 0.005, paired t test; 95% CI: 2.7–14.5),
across all markers and that the two measurements were highly correlated
(r = 0.93). Comparison of the average difference
in plasma concentrations measured by IP-MRM versus ELISA for individual
candidates indicated that differences were significant (p < 0.05, paired t test) for TIMP1 (67.1 ng/mL),
THBS2 (−13.4 ng/mL), MSLN (−11.7 ng/mL) and ENG (5.2
ng/mL), but not for COMP (−6.4 ng/mL), MMP9 (13.5 ng/mL). We
also examined correlation of IP-MRM and ELISA for the individual analytes
(Figure 3). Correlation coefficients for the
two methods were high for MMP9, COMP and TIMP1 and moderate for THBS2
and MSLN. However there was no apparent correlation between the methods
for ENG, as ELISA measurements all were approximately 5 ng/mL, whereas
IP-MRM measurements varied from 5 to 20 ng/mL.
Figure 2
Quantitation of six biomarker candidate proteins in plasma samples
from colon cancer patients and noncancer controls by IP-MRM and ELISA.
Plasma levels of TIMP1, COMP, MMP9, THBS2, MSLN and ENG were measured
in controls (circles) and colon cancer patients (squares). Results
are from the average of triplicate IP-MRM measurements and duplicate
ELISA measurements.
Figure 3
Correlation of protein expression levels measured by ELISA and
IP-MRM in plasma samples. Mean concentrations from triplicate analyses
of TIMP1, COMP, MMP9, THBS2, MSLN and ENG in plasma samples from 24
subjects (23 for TIMP1 and MMP9) by ELISA and IP-MRM are plotted.
Pearson correlation coefficients are indicated in the figure.
Quantitation of six biomarker candidate proteins in plasma samples
from colon cancerpatients and noncancer controls by IP-MRM and ELISA.
Plasma levels of TIMP1, COMP, MMP9, THBS2, MSLN and ENG were measured
in controls (circles) and colon cancerpatients (squares). Results
are from the average of triplicate IP-MRM measurements and duplicate
ELISA measurements.Correlation of protein expression levels measured by ELISA and
IP-MRM in plasma samples. Mean concentrations from triplicate analyses
of TIMP1, COMP, MMP9, THBS2, MSLN and ENG in plasma samples from 24
subjects (23 for TIMP1 and MMP9) by ELISA and IP-MRM are plotted.
Pearson correlation coefficients are indicated in the figure.
Discussion
The targeted analysis of protein biomarker candidates in plasma
or serum requires highly sensitive and specific assays. Although ELISA
provides the gold standard platform for such analyses, the selection
of high-quality ELISAs is limited. Configuration of a new ELISA is
often costly and time-consuming and may fail for lack of high-quality
reagents. The rationale for hybrid immuno–MS assays was first
proposed by Anderson and colleagues[11] and
has been developed through the peptide capture (SISCAPA) approach.[10,12−14] The key advantages of an immuno–MS approach
are the ability to systematically configure MRM assays based on proteotypic
peptides and the requirement for only one antibody for target capture.
Protein-capture-based immuno–MS analysis has been reported,[18,19] but has not been as thoroughly explored. A potential advantage of
protein capture is that the antibodies might be employed to transition
the IP-MRM assay to an ELISA platform. With that consideration in
mind, we asked how IP-MRM and ELISA would compare when the same capture
antibodies are used.Our results indicate that the two methods offer equivalent performance
with a few exceptions. A global comparison of the IP-MRM and ELISA
measurements in our study indicated a slight systematic bias in favor
of higher measurement values for IP-MRM. However, this difference
was not predictive for individual analytes, as absolute measurement
differences between the methods varied in either direction by approximately
5–10 ng/mL. Measurement variation (CV at LOD) for IP-MRM ranged
from 2.3 to 19%, which was similar to variation for ELISAs of the
same samples (Table 1). IP-MRM and ELISA measurements
were well-correlated, with coefficients for all of the analytes except
ENG = −.017. Poor correlation of IP-MRM and ELISA for ENG appears
to be related to limited range of the ELISA measurements, which were
near the LOD of the assay at the dilution used (Figure S10F [SI]). Because the same capture antibody was used
for both assays, it appears unlikely that differential capture would
explain the difference in ENG measurement by the two methods. The
difference may reflect selective recognition of a subset of ENG proteins
in plasma samples by the detection antibody, perhaps due to unanticipated
modifications. Such modifications may not have affected peptide-based
quantitation in IP-MRM assays.We used plasma samples from individuals with colon cancers and
from noncancer controls in our study, and the biomarker candidate
proteins were selected on the basis of existing literature. However,
these experiments were designed only to compare the performance of
the assay platforms, not to validate biomarker candidates for colon
cancer detection. Although we cannot draw any conclusions about the
utility of the biomarker candidates, the data illustrate the importance
of reliable, precise assays for biomarker validation studies. We observed
a high degree of overlap in measurement distributions for all of the
candidates in control and cancer plasma samples. This is expected
for most biomarker candidates that, despite being overexpressed in
tumors, also may be derived from other tissues. Assays capable of
validating cancer biomarkers will be expected to precisely measure
small concentration differences for proteins present at ng/mL levels
or lower.Our study affirmed a key advantage of IP-MRM, which is the ability
of the assay platform to perform multiplexed protein capture, as reported
by Nico et al.[20] This advantage is particularly
important when amounts of plasma or serum samples are limited. In
our study, all proteins could be captured and quantified from a single
aliquot of 50 μL plasma, while input quantities for single ELISA
measurements were between 2 and 66 μL. The capture antibody
for IP-MRM approach should have a relatively high affinity for the
targeted protein. Our experiments represent a “best case”
example, because the capture antibodies were of sufficiently high
quality to support robust and sensitive ELISA kits. We have done other
IP-MRM experiments with antibodies found to be unsatisfactory for
ELISA, and the same antibodies also failed to provide significant
protein enrichment for IP-MRM measurements (unpublished observations).
IP-MRM might be used to analyze different isoforms or post-translational
modifications of proteins if they are bound with similar affinity
by the capture antibody.Another potentially advantageous feature of IP-MRM is the detection
of proteins via multiple peptides. While this offers flexibility in
assay development and confirmation of measurements made on single
peptides, previous work demonstrates that one peptide usually provides
the greatest measurement sensitivity.[10,13] For this reason,
we chose not to explore comparison MRM measurements with multiple
peptides and instead focused on analysis of peptides that generated
the strongest signals. In addition, higher throughput IP-MRM assays
can utilize magnetic beads for antibody capture in a 96-well-plate
format.[33]IP-MRM directed at intact proteins provides an effective approach
to systematically configure targeted protein measurements. The protein-targeted
capture compares favorably to both peptide-targeted IP-MRM and ELISA.
For novel targets, the choice of methods depends primarily on the
availability of antibodies and their performance. Protein-based IP-MRM
assays offer a faster, less costly approach to targeted protein measurement
than ELISAs and could dramatically expand the scope of targeted protein
quantitation in biology and medicine.
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Authors: Tujin Shi; Thomas L Fillmore; Xuefei Sun; Rui Zhao; Athena A Schepmoes; Mahmud Hossain; Fang Xie; Si Wu; Jong-Seo Kim; Nathan Jones; Ronald J Moore; Ljiljana Pasa-Tolić; Jacob Kagan; Karin D Rodland; Tao Liu; Keqi Tang; David G Camp; Richard D Smith; Wei-Jun Qian Journal: Proc Natl Acad Sci U S A Date: 2012-09-04 Impact factor: 11.205
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Authors: Tujin Shi; Jian-Ying Zhou; Marina A Gritsenko; Mahmud Hossain; David G Camp; Richard D Smith; Wei-Jun Qian Journal: Methods Date: 2011-09-10 Impact factor: 3.608
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