Christophe D. Masselon

Global analysis of the Deinococcus radiodurans proteome by using accurate mass tags

Understanding biological systems and the roles of their constituents is facilitated by the ability to make quantitative, sensitive, and comprehensive measurements of how their proteome changes, e.g., in response to environmental perturbations. To this end, we have developed a high-throughput methodology to characterize an organisms dynamic proteome based on the combination of global enzymatic digestion, high-resolution liquid chromatographic separations, and analysis by Fourier transform ion cyclotron resonance mass spectrometry. The peptides produced serve as accurate mass tags for the proteins and have been used to identify with high confidence >61% of the predicted proteome for the ionizing radiation-resistant bacterium Deinococcus radiodurans. This fraction represents the broadest proteome coverage for any organism to date and includes 715 proteins previously annotated as either hypothetical or conserved hypothetical.

Global Analysis of Deinococcus Radiodurans Proteome by Csing Accurate Mass Tags

Understanding biological systems and the roles of their constituents is facilitated by the ability to make quantitative, sensitive, and comprehensive measurements of how their proteome changes, e.g., in response to environmental perturbations. To this end, we have developed a high-throughput methodology to characterize an organisms dynamic proteome based on the combination of global enzymatic digestion, high-resolution liquid chromatographic separations, and analysis by Fourier transform ion cyclotron resonance mass spectrometry. The peptides produced serve as accurate mass tags for the proteins and have been used to identify with high confidence >61% of the predicted proteome for the ionizing radiation-resistant bacterium Deinococcus radiodurans. This fraction represents the broadest proteome coverage for any organism to date and includes 715 proteins previously annotated as either hypothetical or conserved hypothetical.

High Throughput Quantitative Analysis of Serum Proteins Using Glycopeptide Capture and Liquid Chromatography Mass Spectrometry

It is expected that the composition of the serum proteome can provide valuable information about the state of the human body in health and disease and that this information can be extracted via quantitative proteomic measurements. Suitable proteomic techniques need to be sensitive, reproducible, and robust to detect potential biomarkers below the level of highly expressed proteins, generate data sets that are comparable between experiments and laboratories, and have high throughput to support statistical studies. Here we report a method for high throughput quantitative analysis of serum proteins. It consists of the selective isolation of peptides that are N-linked glycosylated in the intact protein, the analysis of these now deglycosylated peptides by liquid chromatography electrospray ionization mass spectrometry, and the comparative analysis of the resulting patterns. By focusing selectively on a few formerly N-linked glycopeptides per serum protein, the complexity of the analyte sample is significantly reduced and the sensitivity and throughput of serum proteome analysis are increased compared with the analysis of total tryptic peptides from unfractionated samples. We provide data that document the performance of the method and show that sera from untreated normal mice and genetically identical mice with carcinogen-induced skin cancer can be unambiguously discriminated using unsupervised clustering of the resulting peptide patterns. We further identify, by tandem mass spectrometry, some of the peptides that were consistently elevated in cancer mice compared with their control littermates.

Proteomic Analyses using an Accurate Mass and Time Tag Strategy

An accurate mass and time (AMT) tag approach for proteomic analyses has been developed over the past several years to facilitate comprehensive high-throughput proteomic measurements. An AMT tag database for an organism, tissue, or cell line is established by initially performing standard shotgun proteomic analysis and, most importantly, by validating peptide identifications using the mass measurement accuracy of Fourier transform ion cyclotron resonance (FTICR) mass spectrometry (MS) and liquid chromatography (LC) elution time constraint. Creation of an AMT tag database largely obviates the need for subsequent MS/MS analyses, and thus facilitates high-throughput analyses. The strength of this technology resides in the ability to achieve highly efficient and reproducible one-dimensional reversed-phased LC separations in conjunction with highly accurate mass measurements using FTICR MS. Recent improvements allow for the analysis of as little as picrogram amounts of proteome samples by minimizing sample handling and maximizing peptide recovery. The nanoproteomics platform has also demonstrated the ability to detect >10(6) differences in protein abundances and identify more abundant proteins from subpicogram amounts of samples. The AMT tag approach is poised to become a new standard technique for the in-depth and high-throughput analysis of complex organisms and clinical samples, with the potential to extend the analysis to a single mammalian cell.

Aberrant mobility phenomena of the DNA repair protein XPA

The DNA repair protein XPA recognizes a wide variety of bulky lesions and interacts with several other proteins during nucleotide excision repair. We recently identified regions of intrinsic order and disorder in full length Xenopus XPA (xXPA) protein using an experimental approach that combined time‐resolved trypsin proteolysis and electrospray ionization interface coupled to a Fourier transform ion cyclotron resonance (ESI‐FTICR) mass spectrometry (MS). MS data were consistent with the interpretation that xXPA contains no post‐translational modifications. Here we characterize the discrepancy between the calculated molecular weight (31 kDa) for xXPA and its apparent molecular weight on SDS‐PAGE (multiple bands from ∼40–45 kDa) and gel filtration chromatography (∼92 kDa), as well as the consequences of DNA binding on its anomalous mobility. Iodoacetamide treatment of xXPA prior to SDS‐PAGE yielded a single 42‐kDa band, showing that covalent modification of Cys did not correct aberrant mobility. Determination of sulfhydryl content in xXPA with Ellmans reagent revealed that all nine Cys in active protein are reduced. Unexpectedly, structural constraints induced by intramolecular glutaraldehyde crosslinks in xXPA produced a ∼32‐kDa monomer in closer agreement with its calculated molecular weight. To investigate whether binding to DNA alters xXPAs anomalous migration, we used gel filtration chromatography. For the first time, we purified stable complexes of xXPA and DNA ± cisplatin ± mismatches. xXPA showed at least 10‐fold higher affinity for cisplatin DNA ± mismatches compared to undamaged DNA ± mismatches. In all cases, DNA binding did not correct xXPAs anomalous migration. To test predictions that a Glu‐rich region (EEEEAEE) and/or disordered N‐ and C‐terminal domains were responsible for xXPAs aberrant mobility, the molecular weights of partial proteolytic fragments from ∼5 to 25 kDa separated by reverse‐phase HPLC and precisely determined by ESI‐FTICR MS were correlated with their migration on SDS‐PAGE. Every partial tryptic fragment analyzed within this size range exhibited 10%–50% larger molecular weights than expected. Thus, both the disordered domains and the Glu‐rich region in xXPA are primarily responsible for the aberrant mobility phenomena.

Identification of intrinsic order and disorder in the DNA repair protein XPA

The DNA‐repair protein XPA is required to recognize a wide variety of bulky lesions during nucleotide excision repair. Independent NMR solution structures of a human XPA fragment comprising approximately 40% of the full‐length protein, the minimal DNA‐binding domain, revealed that one‐third of this molecule was disordered. To better characterize structural features of full‐length XPA, we performed time‐resolved trypsin proteolysis on active recombinant Xenopus XPA (xXPA). The resulting proteolytic fragments were analyzed by electrospray ionization interface coupled to a Fourier transform ion cyclotron resonance mass spectrometry and SDS‐PAGE. The molecular weight of the full‐length xXPA determined by mass spectrometry (30922.02 daltons) was consistent with that calculated from the sequence (30922.45 daltons). Moreover, the mass spectrometric data allowed the assignment of multiple xXPA fragments not resolvable by SDS‐PAGE. The neural network program Predictor of Natural Disordered Regions (PONDR) applied to xXPA predicted extended disordered N‐ and C‐terminal regions with an ordered internal core. This prediction agreed with our partial proteolysis results, thereby indicating that disorder in XPA shares sequence features with other well‐characterized intrinsically unstructured proteins. Trypsin cleavages at 30 of the possible 48 sites were detected and no cleavage was observed in an internal region (Q85‐I179) despite 14 possible cut sites. For the full‐length xXPA, there was strong agreement among PONDR, partial proteolysis data, and the NMR structure for the corresponding XPA fragment.

Rapid quantitative measurements of proteomes by Fourier transform ion cyclotron resonance mass spectrometry.

The patterns of gene expression, post‐translational modifications, protein/biomolecular interactions, and how these may be affected by changes in the environment, cannot be accurately predicted from DNA sequences. Approaches for proteome characterization are generally based upon mass spectrometric analysis of in‐gel digested two dimensional polyacrylamide gel electrophoresis (2‐D PAGE) separated proteins, allowing relatively rapid protein identification compared to conventional approaches. This technique, however, is constrained by the speed of the 2‐D PAGE separations, the sensitivity limits intrinsic to staining necessary for protein visualization, the speed and sensitivity of subsequent mass spectrometric analyses for identification, and the limited ability for accurate quantitative measurements based on differences in spot intensity. We are presently developing alternative approaches for proteomics based upon the combination of fast capillary electrophoresis, or other suitable chromatographic separations, and the high mass accuracy and sensitivity obtainable with unique Fourier transform ion cyclotron resonance (FTICR) mass spectrometers available at our laboratory. Several approaches are presently being pursued; one based upon the analysis of intact proteins and the second upon approaches for global protein digestion and accurate peptide mass analysis. Quantitation of protein/peptide levels are based on using two or more stable‐isotope labeled versions of proteomes which are combined to obtain precise quantitation of relative protein abundances. We describe the status of our efforts towards the development of a high‐throughput proteomics capability and present initial results for application to several microorganisms and discuss our efforts for extending the developed capability to mammalian proteomes.

ESI-FTICR mass spectrometry employing Data-dependent external ion selection and accumulation

Data-dependent external m/z selection and accumulation of ions is demonstrated in use with ESI-FTICR instrumentation, with two different methods for ion selection being explored. One method uses RF/DC quadrupole filtering and is described in use with an 11.5 tesla (T) FTICR instrument, while the second method employs RF-only resonance dipolar excitation selection and is described in use with a 3.5 T FTICR instrument. In both methods ions are data-dependently selected on the fly in a linear quadrupole ion guide, then accumulated in a second linear RF-only quadrupole trap that immediately follows. A major benefit of ion preselection prior to external accumulation is the enhancement of ion populations for low-level species. This development is expected to expand the dynamic range and sensitivity of FTICR for applications including analysis of complex polypeptide mixtures (e.g., proteomics).

Mass measurement errors caused by 'local' frequency perturbations in FTICR mass spectrometry

One of the key qualities of mass spectrometric measurements for biomolecules is the mass measurement accuracy (MMA) obtained. FTICR presently provides the highest MMA over a broad m/z range. However, due to space charge effects, the achievable MMA crucially depends on the number of ions trapped in the ICR cell for a measurement. Thus, beyond some point, as the effective sensitivity and dynamic range of a measurement increase, MMA tends to decrease. While analyzing deviations from the commonly used calibration law in FTICR we have found systematic errors which are not accounted for by a “global” space charge correction approach. The analysis of these errors and their dependence on charge population and post-excite radius have led us to conclude that each ion cloud experiences a different interaction with other ion clouds. We propose a novel calibration function which is shown to provide an improvement in MMA for all the spectra studied.

Review: The Use of Accurate Mass Tags for High-Throughput Microbial Proteomics

We describe and review progress towards a global strategy that aims to extend the sensitivity, dynamic range, comprehensiveness, and throughput of proteomic measurements for microbial systems based upon the use of polypeptide accurate mass tags (AMTs) produced by global protein enzymatic digestions. The two-stage strategy exploits high accuracy mass measurements using Fourier transform ion cyclotron resonance mass spectrometry (FTICR) to validate polypeptide AMTs for a specific organism, from potential mass tags tentatively identified using tandem mass spectrometry (MS/MS), providing the basis for subsequent measurements without the need for routine MS/MS. A high-resolution capillary liquid chromatography separation combined with high sensitivity, and high-resolution accurate FTICR measurements is shown to be capable of characterizing polypeptide mixtures of more than 10(5) components, sufficient for broad protein identification using AMTs. Advantages of the approach include the high confidence of protein identification, its broad proteome coverage, and the capability for stable-isotope labeling methods for precise relative protein abundance measurements. The strategy has been initially evaluated using the microorganisms Saccharomyces cerevisiae and Deinococcus radiodurans. Additional developments, including the use of multiplexed-MS/MS capabilities and methods for dynamic range expansion of proteome measurements that promise to further extend the quality of proteomics measurements, are also described.