Turbulent flow chromatography for analysis of tryptic digests
than 30% for all peptides, and was greater than 50% for 12 of
the 18 peptides studied (Table 3). There was a broad
correlation between the hydrophobicity factor and the observed
recovery (Fig. 4).
use of stable-isotope-labelled internal standards is always
advocated where possible. Owing to the inevitable differences
in peptide recovery (as observed in this study, but also equally
likely with SPE-based methods), the use of isotope-labelled
standards for each of the targeted tryptic peptides should be
recommended, and recovery studies carried out during
method validation to ensure similarity between the labelled
and unlabelled peptides. Likewise, careful optimisation of
the digestion method is still a requirement – ongoing
developments of approaches to speed-up trypsin digestion
protocols (e.g. using thermal-cycling)[14] will be an important
future consideration for high-throughput workflows.
However, as with SPE workflows, TurboFlow methods can
be optimised to ensure maximal recovery of the target peptide
for analyses which require a specific tryptic peptide to be
quantified (e.g. in the quantitation of protein isoforms and
variants). Examples could include manipulation of the
Loading Eluent pH, variation in the TFA concentration, and
optimisation of the elution loop contents. For instance, the
recovery of more hydrophobic peptides may be increased by
increasing the organic solvent content in the elution loop. It
should be noted that this may affect the chromatographic
peak shape of more hydrophilic peptides as there may be less
analyte focusing during the transfer step, and so often a
compromise must be reached in cases where multiple peptides
with different retention characteristics are to be simultaneously
analysed.
CONCLUSIONS
Although a preliminary study based on a single model
protein, our data suggest that turbulent flow chromatography
may be useful for the on-line analysis of tryptic digests, and
thus could be well suited to high-throughput, targetted,
peptide-based protein analyses. Compared to off-line SPE
techniques, this approach is rapid and fully automated with
regards to the valve-switching setup. Even when compared
with methods where tryptic digests are analysed directly by
LC/MS with no additional sample pre-treatment, since the
TurboFlow separation process occurs very rapidly (within
20–30 s) following injection, there is very little impact on the
total analysis time. Furthermore, the physics of turbulent flow
chromatography mean that non-digested, high molecular
weight proteins, as well as excess trypsin from the digestion
protocol, are excluded from interaction with column particles.
As such, these components do not reach the analytical HPLC
column, serving to increase column lifetime, and reduce the
freqency of MS ion-source maintenance – both important
considerations in high-throughput laboratories. TFA is not
favoured by some for MS analysis due to the risk of ion
suppression effects,[12] despite the chromatographic benefits
that can be gained for hydrophilic peptide analysis in
particular. In the method described, TFA was used to maximise
recovery on the TurboFlow columns, but was not transferred to
the analytical HPLC column or to the MS source guarding
against the possibility of ensuing ion suppression effects.
Using the focus-mode plumbing arrangement (Fig. 1), the
elution loop contents were diluted (1+9, v/v) prior to the
analytical HPLC column, such that the retained peptides
were focused at the head of the analytical column prior to
gradient elution. This focusing meant that no evaporation/
reconstitution steps were employed, thus avoiding the risk
of loss of some peptides during these steps.
Overall, the data from this study suggest that turbulent
flow chromatography offers a rapid, on-line alternative to
SPE for the analysis of peptide digests by LC/MS. A wide
range of TurboFlow column chemistries are available, and
so the technique can be further cutsomised for analyses
which are targeted to specific peptides. As with turbulent
flow chromatography for small-molecule workflows,[9] this
approach may be ideally suited to high-throughput
protein-based applications, such as those which are emerging
in clinical laboratories.
REFERENCES
In this study using a single protein and with the chosen
combination of TurboFlow column chemistries, good recovery
was observed for a number of the tryptic peptides (Table 3).
Recovery for the more hydrophilic BSA peptides was greater
using the two columns in series than for each of the columns
individually (data not shown), suggesting that both cation-
exchange and hydrophobic/hydrophilic interactions were
contributing to peptide recovery (analagous to mixed-mode
SPE methods). As one would predict, the relative recovery of
the more hydrophobic peptides was greater than for the
hydrophilic peptides. Recovery of the most hydrophilic
peptide, ATEEQLK, was relatively poor (15%), but nonetheless
showed good injection-to-injection peak area precision. One of
the 18 peptides in this study (VLASSAR) was not observed.
This was not considered to be due to poor recovery on the
TurboFlow column, since this peptide was not observed in LX
injections. It is more likely that this peptide was either not
produced, or was unstable during the digestion protocol.
In cases where a number of possible tryptic peptides can be
used, the choice of which surrogate peptide(s) to use for
quantitative protein analysis remains important,[13] and the
[1] S. Lehmann, A. Hoofnagle, D. Hochstrasser, C. Brede,
M. Glueckmann, J. A. Cocho, U. Ceglarek, C. Lenz,
J. Vialeret, A. Scherl, C. Hirtz. IFCC Working Group on
Clinical Quantitative Mass Spectrometry Proteomics
(WG-cMSP). Quantitative Clinical Chemistry Proteomics
(qCCP) using mass spectrometry: general characteristics
and application. Clin. Chem. Lab. Med. 2013, 51, 919.
[2] P. Picotti, R. Aebersold. Selected reaction monitoring-based
proteomics: workflows, potential, pitfalls and future directions.
Nat. Methods 2012, 9, 555.
[3] V. Lange, P. Picotti, B. Domon, R. Aebersold. Selected reaction
monitoring for quantitative proteomics: a tutorial. Mol. Syst.
Biol. 2008, 4, 222.
[4] E. W. Deutsch, H. Lam, R. Aebersold. PeptideAtlas: a resource
for target selection for emerging targeted proteomics
workflows. EMBO Rep. 2008, 9, 429.
[5] S. Peterman, E. E. Neiderkofler, D. A. Phillips, B. Krastins,
U. A. Kiernan, K. A. Tubbs, D. Nedelkov, A. Prakash,
M. S. Vogelsang, T. Schoeder, L. Couchman, D. R. Taylor,
C. F. Moniz, G. Vadali, G. Byram, M. F. Lopez. An automated,
high-throughput method for targeted quantitation of intact
insulin and its therapeutic analogs in human serum or plasma
Rapid Commun. Mass Spectrom. 2015, 29, 2140–2146
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