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Dive into the research topics where Philip D. Compton is active.

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Featured researches published by Philip D. Compton.


Nature | 2011

Mapping intact protein isoforms in discovery mode using top-down proteomics

John C. Tran; Leonid Zamdborg; Dorothy R. Ahlf; Ji Eun Lee; Adam D. Catherman; Kenneth R. Durbin; Jeremiah D. Tipton; Adaikkalam Vellaichamy; John F. Kellie; Mingxi Li; Cong Wu; Steve M. M. Sweet; Bryan P. Early; Nertila Siuti; Richard D. LeDuc; Philip D. Compton; Paul M. Thomas; Neil L. Kelleher

A full description of the human proteome relies on the challenging task of detecting mature and changing forms of protein molecules in the body. Large-scale proteome analysis has routinely involved digesting intact proteins followed by inferred protein identification using mass spectrometry. This ‘bottom-up’ process affords a high number of identifications (not always unique to a single gene). However, complications arise from incomplete or ambiguous characterization of alternative splice forms, diverse modifications (for example, acetylation and methylation) and endogenous protein cleavages, especially when combinations of these create complex patterns of intact protein isoforms and species. ‘Top-down’ interrogation of whole proteins can overcome these problems for individual proteins, but has not been achieved on a proteome scale owing to the lack of intact protein fractionation methods that are well integrated with tandem mass spectrometry. Here we show, using a new four-dimensional separation system, identification of 1,043 gene products from human cells that are dispersed into more than 3,000 protein species created by post-translational modification (PTM), RNA splicing and proteolysis. The overall system produced greater than 20-fold increases in both separation power and proteome coverage, enabling the identification of proteins up to 105 kDa and those with up to 11 transmembrane helices. Many previously undetected isoforms of endogenous human proteins were mapped, including changes in multiply modified species in response to accelerated cellular ageing (senescence) induced by DNA damage. Integrated with the latest version of the Swiss-Prot database, the data provide precise correlations to individual genes and proof-of-concept for large-scale interrogation of whole protein molecules. The technology promises to improve the link between proteomics data and complex phenotypes in basic biology and disease research.


Analytical Chemistry | 2011

On the Scalability and Requirements of Whole Protein Mass Spectrometry

Philip D. Compton; Leonid Zamdborg; Paul M. Thomas; Neil L. Kelleher

Top-down proteomics has improved over the past decade despite the significant challenges presented by the analysis of large protein ions. Here, the detection of these high mass species by electrospray-based mass spectrometry (MS) is examined from a theoretical perspective to understand the mass-dependent increases in the number of charge states, isotopic peaks, and interfering species present in typical protein mass spectra. Integrating these effects into a quantitative model captures the reduced ability to detect species over 25 kDa with the speed and sensitivity characteristic of proteomics based on <3 kDa peptide ions. The model quantifies the challenge that top-down proteomics faces with respect to current MS instrumentation and projects that depletion of (13)C and (15)N isotopes can improve detection at high mass by only <2-fold at 100 kDa whereas the effect is up to 5-fold at 10 kDa. Further, we find that supercharging electrosprayed proteins to the point of producing <5 charge states at high mass would improve detection by more than 20-fold.


Nature Protocols | 2008

Methods for analyzing peptides and proteins on a chromatographic timescale by electron-transfer dissociation mass spectrometry

Namrata D. Udeshi; Philip D. Compton; Jeffrey Shabanowitz; Donald F. Hunt; Kristie L. Rose

Advancement in proteomics research relies on the development of new, innovative tools for identifying and characterizing proteins. Here, we describe a protocol for analyzing peptides and proteins on a chromatographic timescale by coupling nanoflow reverse-phase (RP) liquid chromatography (LC) to electron-transfer dissociation (ETD) mass spectrometry. For this protocol, proteins can be proteolytically digested before ETD analysis, although digestion is not necessary for all applications. Proteins ≤30 kDa can be analyzed intact, particularly if the objective is protein identification. Peptides or proteins are loaded onto a RP column and are gradient-eluted into an ETD-enabled mass spectrometer. ETD tandem mass spectrometry (MS/MS) provides extensive sequence information required for the unambiguous identification of peptides and proteins and for characterization of posttranslational modifications. ETD is a powerful MS/MS technique and does not compromise the sensitivity and speed necessary for online chromatographic separations. The described procedure for sample preparation, column packing, sample loading and ETD analysis can be implemented in 5–15 h.


Analytical Chemistry | 2013

From protein complexes to subunit backbone fragments: A multi-stage approach to native mass spectrometry

Mikhail E. Belov; Eugen Damoc; Eduard Denisov; Philip D. Compton; Stevan Horning; Alexander Makarov; Neil L. Kelleher

Native mass spectrometry (MS) is becoming an important integral part of structural proteomics and system biology research. The approach holds great promise for elucidating higher levels of protein structure: from primary to quaternary. This requires the most efficient use of tandem MS, which is the cornerstone of MS-based approaches. In this work, we advance a two-step fragmentation approach, or (pseudo)-MS(3), from native protein complexes to a set of constituent fragment ions. Using an efficient desolvation approach and quadrupole selection in the extended mass-to-charge (m/z) range, we have accomplished sequential dissociation of large protein complexes, such as phosporylase B (194 kDa), pyruvate kinase (232 kDa), and GroEL (801 kDa), to highly charged monomers which were then dissociated to a set of multiply charged fragmentation products. Fragment ion signals were acquired with a high resolution, high mass accuracy Orbitrap instrument that enabled highly confident identifications of the precursor monomer subunits. The developed approach is expected to enable characterization of stoichiometry and composition of endogenous native protein complexes at an unprecedented level of detail.


Journal of Proteome Research | 2012

Evaluation of the compact high-field orbitrap for top-down proteomics of human cells

Dorothy R. Ahlf; Philip D. Compton; John C. Tran; Bryan P. Early; Paul M. Thomas; Neil L. Kelleher

Mass spectrometry based proteomics generally seeks to identify and fully characterize protein species with high accuracy and throughput. Recent improvements in protein separation have greatly expanded the capacity of top-down proteomics (TDP) to identify a large number of intact proteins. To date, TDP has been most tightly associated with Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry. Here, we couple the improved separations to a Fourier-transform instrument based not on ICR but using the Orbitrap Elite mass analyzer. Application of this platform to H1299 human lung cancer cells resulted in the unambiguous identification of 690 unique proteins and over 2000 proteoforms identified from proteins with intact masses<50 kDa. This is an early demonstration of high throughput TDP (>500 identifications) in an Orbitrap mass spectrometer and exemplifies an accessible platform for whole protein mass spectrometry.


Proteomics | 2014

Optimizing capillary electrophoresis for top-down proteomics of 30–80 kDa proteins

Yihan Li; Philip D. Compton; John C. Tran; Ioanna Ntai; Neil L. Kelleher

The direct analysis of intact proteins via MS offers compelling advantages in comparison to alternative methods due to the direct and unambiguous identification and characterization of protein sequences it provides. The inability to efficiently analyze proteins in the “middle mass range,” defined here as proteins from 30 to 80 kDa, in a robust fashion has limited the adoption of these “top‐down” methods. Largely, a result of poor liquid chromatographic performance, the limitations in this mass range may be addressed by alternative separations that replace chromatography. Herein, the short migration times of CZE‐ESI‐MS/MS have been extended to size‐sorted whole proteins in complex mixtures from Pseudomonas aeruginosa PA01. An electrokinetically pumped nanospray interface, a coated capillary, and a stacking method for on‐column sample concentration were developed to achieve high‐loading capacity and separation resolution. We achieved full width at half maximum of 8–16 s for model proteins up to 29 kDa and identified 30 proteins in the mass range of 30–80 kDa from P. aeruginosa PA01 whole cell lysate. These results suggest that CZE‐ESI‐MS/MS is capable of identifying proteins in the middle mass range in top‐down proteomics.


Analytical Chemistry | 2013

Top down proteomics of human membrane proteins from enriched mitochondrial fractions.

Adam D. Catherman; Mingxi Li; John C. Tran; Kenneth R. Durbin; Philip D. Compton; Bryan P. Early; Paul M. Thomas; Neil L. Kelleher

The interrogation of intact integral membrane proteins has long been a challenge for biological mass spectrometry. Here, we demonstrate the application of top down mass spectrometry to whole membrane proteins below 60 kDa with up to 8 transmembrane helices. Analysis of enriched mitochondrial membrane preparations from human cells yielded identification of 83 integral membrane proteins, along with 163 membrane-associated or soluble proteins, with a median q value of 3 × 10(-10). An analysis of matching fragment ions demonstrated that significantly more fragment ions were found within transmembrane domains than would be expected based upon the observed protein sequence. In total, 46 proteins from the complexes of oxidative phosphorylation were identified which exemplifies the increasing ability of top down proteomics to provide extensive coverage in a biological network.


Analytical Chemistry | 2013

Front-End Electron Transfer Dissociation: A New Ionization Source

Lee Earley; Lissa C. Anderson; Dina L. Bai; Christopher Mullen; John E. P. Syka; A. Michelle English; Jean Jacques Dunyach; George C. Stafford; Jeffrey Shabanowitz; Donald F. Hunt; Philip D. Compton

Electron transfer dissociation (ETD), a technique that provides efficient fragmentation while depositing little energy into vibrational modes, has been widely integrated into proteomics workflows. Current implementations of this technique, as well as other ion-ion reactions like proton transfer, involve sophisticated hardware, lack robustness, and place severe design limitations on the instruments to which they are attached. Described herein is a novel, electrical discharge-based reagent ion source that is located in the first differentially pumped region of the mass spectrometer. The reagent source was found to produce intense reagent ion signals over extended periods of time while having no measurable impact on precursor ion signal. Further, the source is simple to construct and enables implementation of ETD on any instrument without modification to footprint. Finally, in the context of hybrid mass spectrometers, relocation of the reagent ion source to the front of the mass spectrometer enables new approaches to gas phase interrogation of intact proteins.


Analytical Chemistry | 2012

Optimization of Electron Transfer Dissociation via Informed Selection of Reagents and Operating Parameters

Philip D. Compton; Joseph V. Strukl; Dina L. Bai; Jeffrey Shabanowitz; Donald F. Hunt

Electron transfer dissociation (ETD) has improved the mass spectrometric analysis of proteins and peptides with labile post-translational modifications and larger intact masses. Here, the parameters governing the reaction rate of ETD are examined experimentally. Currently, due to reagent injection and isolation events as well as longer reaction times, ETD spectra require significantly more time to acquire than collision-induced dissociation (CID) spectra (>100 ms), resulting in a trade-off in the dynamic range of tandem MS analyses when ETD-based methods are compared to CID-based methods. Through fine adjustment of reaction parameters and the selection of reagents with optimal characteristics, we demonstrate a drastic reduction in the time taken per ETD event. In fact, ETD can be performed with optimal efficiency in nearly the same time as CID at low precursor charge state (z = +3) and becomes faster at higher charge state (z > +3).


Molecular & Cellular Proteomics | 2016

Integrated Bottom-up and Top-down Proteomics of Patient-derived Breast Tumor Xenografts

Ioanna Ntai; Richard D. LeDuc; Ryan T. Fellers; Petra Erdmann-Gilmore; Sherri R. Davies; Jeanne M. Rumsey; Bryan P. Early; Paul M. Thomas; Shunqiang Li; Philip D. Compton; Matthew J. Ellis; Kelly V. Ruggles; David Fenyö; Emily S. Boja; Henry Rodriguez; R. Reid Townsend; Neil L. Kelleher

Bottom-up proteomics relies on the use of proteases and is the method of choice for identifying thousands of protein groups in complex samples. Top-down proteomics has been shown to be robust for direct analysis of small proteins and offers a solution to the “peptide-to-protein” inference problem inherent with bottom-up approaches. Here, we describe the first large-scale integration of genomic, bottom-up and top-down proteomic data for the comparative analysis of patient-derived mouse xenograft models of basal and luminal B human breast cancer, WHIM2 and WHIM16, respectively. Using these well-characterized xenograft models established by the National Cancer Institutes Clinical Proteomic Tumor Analysis Consortium, we compared and contrasted the performance of bottom-up and top-down proteomics to detect cancer-specific aberrations at the peptide and proteoform levels and to measure differential expression of proteins and proteoforms. Bottom-up proteomic analysis of the tumor xenografts detected almost 10 times as many coding nucleotide polymorphisms and peptides resulting from novel splice junctions than top-down. For proteins in the range of 0–30 kDa, where quantitation was performed using both approaches, bottom-up proteomics quantified 3,519 protein groups from 49,185 peptides, while top-down proteomics quantified 982 proteoforms mapping to 358 proteins. Examples of both concordant and discordant quantitation were found in a ∼60:40 ratio, providing a unique opportunity for top-down to fill in missing information. The two techniques showed complementary performance, with bottom-up yielding eight times more identifications of 0–30 kDa proteins in xenograft proteomes, but failing to detect differences in certain posttranslational modifications (PTMs), such as phosphorylation pattern changes of alpha-endosulfine. This work illustrates the potency of a combined bottom-up and top-down proteomics approach to deepen our knowledge of cancer biology, especially when genomic data are available.

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John C. Tran

Northwestern University

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Ioanna Ntai

Northwestern University

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