Scott A. Robotham
University of Texas at Austin
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Featured researches published by Scott A. Robotham.
Analytical Chemistry | 2014
Joe R. Cannon; Michael B. Cammarata; Scott A. Robotham; Victoria C. Cotham; Jared B. Shaw; Ryan T. Fellers; Bryan P. Early; Paul M. Thomas; Neil L. Kelleher; Jennifer S. Brodbelt
Intact protein characterization using mass spectrometry thus far has been achieved at the cost of throughput. Presented here is the application of 193 nm ultraviolet photodissociation (UVPD) for top down identification and characterization of proteins in complex mixtures in an online fashion. Liquid chromatographic separation at the intact protein level coupled with fast UVPD and high-resolution detection resulted in confident identification of 46 unique sequences compared to 44 using HCD from prepared Escherichia coli ribosomes. Importantly, nearly all proteins identified in both the UVPD and optimized HCD analyses demonstrated a substantial increase in confidence in identification (as defined by an average decrease in E value of ∼40 orders of magnitude) due to the higher number of matched fragment ions. Also shown is the potential for high-throughput characterization of intact proteins via liquid chromatography (LC)–UVPD-MS of molecular weight-based fractions of a Saccharomyces cerevisiae lysate. In total, protein products from 215 genes were identified and found in 292 distinct proteoforms, 168 of which contained some type of post-translational modification.
Analytical Chemistry | 2015
Joe R. Cannon; Kirby Martinez-Fonts; Scott A. Robotham; Andreas Matouschek; Jennifer S. Brodbelt
Protein ubiquitin modifications present a vexing analytical challenge, because of the dynamic changes in the site of modification on the substrate, the number of ubiquitin moieties attached, and the diversity of linkage patterns in which they are attached. Presented here is a method to confidently assign size and linkage type of polyubiquitin modifications. The method combines intact mass measurement to determine the number of ubiquitin moieties in the chain with backbone fragmentation by 193-nm ultraviolet photodissociation (UVPD) to determine the linkage pattern. UVPD fragmentation of proteins leads to reproducible backbone cleavage at almost every inter-residue position, and in polyubiquitin chains, the N-terminally derived fragments from each constituent monomer are identical, up to the site of conjugation. The N-terminal ubiquitin fragment ions are superimposed to create a diagnostic pattern that allows easy recognition of the dominant chain linkages. The method is demonstrated by achieving almost-complete fragmentation of monoubiquitin and then, subsequently, fragmentation of dimeric, tetrameric, and longer Lys48- and Lys63-linked ubiquitin chains. The utility of the method for the analysis of mixed linkage chains is confirmed for mixtures of Lys48 and Lys63 tetramers with known relative concentrations and for an in vitro-formulated ubiquitin chain attached to a substrate protein.
Journal of the American Chemical Society | 2015
Ross Thyer; Scott A. Robotham; Jennifer S. Brodbelt; Andrew D. Ellington
Bacterial selenocysteine incorporation occurs in response to opal stop codons and is dependent on the presence of a selenocysteine insertion sequence (SECIS) element, which recruits the selenocysteine specific elongation factor and tRNA(Sec) needed to reassign the UGA codon. The SECIS element is a stem-loop RNA structure immediately following the UGA codon and forms part of the coding sequence in bacterial selenoproteins. Although the site specific incorporation of selenocysteine is of great interest for protein engineering, the sequence constraints imposed by the adjoining SECIS element severely limit its use. We have evolved an E. coli tRNA(Sec) that is compatible with the canonical translation machinery and can suppress amber stop codons to incorporate selenocysteine with high efficiency. This evolved tRNA(Sec) allows the production of new recombinant selenoproteins containing structural motifs such as selenyl-sulfhydryl and diselenide bonds.
Analytical Chemistry | 2013
Scott A. Robotham; Christien Kluwe; Joe R. Cannon; Andrew D. Ellington; Jennifer S. Brodbelt
Although in silico database search methods remain more popular for shotgun proteomics methods, de novo sequencing offers the ability to identify peptides derived from proteins lacking sequenced genomes and ones with subtle splice variants or truncations. Ultraviolet photodissociation (UVPD) of peptides derivatized by selective attachment of a chromophore at the N-terminus generates a characteristic series of y ions. The UVPD spectra of the chromophore-labeled peptides are simplified and thus amenable to de novo sequencing. This method resulted in an observed sequence coverage of 79% for cytochrome C (eight peptides), 47% for β-lactoglobulin (five peptides), 25% for carbonic anhydrase (six peptides), and 51% for bovine serum albumin (33 peptides). This strategy also allowed differentiation of proteins with high sequence homology as evidenced by de novo sequencing of two variants of green fluorescent protein.
Biochemical Pharmacology | 2011
Scott A. Robotham; Jennifer S. Brodbelt
Based on reactions with five flavonoids, the regioselectivities of twelve human UDP-glucuronosyltransferase (UGT) isozymes were elucidated. The various flavonoid glucuronides were differentiated based on LC-MS/MS fragmentation patterns of [Co(II)(flavonoid-H)(4,7-diphenyl-1,10-phenanthroline)(2)](+) complexes generated upon post-column complexation. Glucuronide distributions were evaluated to allow a systematic assessment of the regioselectivity of each isozyme. The various UGT enzymes, including eight UGT1A and four UGT2B, displayed a remarkable range of selectivities, both in terms of the positions of glucuronidation and relative reactivity with flavanones versus flavonols.
Analytical Chemistry | 2017
Andrew P. Horton; Scott A. Robotham; Joe R. Cannon; Dustin D. Holden; Edward M. Marcotte; Jennifer S. Brodbelt
We describe a strategy for de novo peptide sequencing based on matched pairs of tandem mass spectra (MS/MS) obtained by collision induced dissociation (CID) and 351 nm ultraviolet photodissociation (UVPD). Each precursor ion is isolated twice with the mass spectrometer switching between CID and UVPD activation modes to obtain a complementary MS/MS pair. To interpret these paired spectra, we modified the UVnovo de novo sequencing software to automatically learn from and interpret fragmentation spectra, provided a representative set of training data. This machine learning procedure, using random forests, synthesizes information from one or multiple complementary spectra, such as the CID/UVPD pairs, into peptide fragmentation site predictions. In doing so, the burden of fragmentation model definition shifts from programmer to machine and opens up the model parameter space for inclusion of nonobvious features and interactions. This spectral synthesis also serves to transform distinct types of spectra into a common representation for subsequent activation-independent processing steps. Then, independent from precursor activation constraints, UVnovos de novo sequencing procedure generates and scores sequence candidates for each precursor. We demonstrate the combined experimental and computational approach for de novo sequencing using whole cell E. coli lysate. In benchmarks on the CID/UVPD data, UVnovo assigned correct full-length sequences to 83% of the spectral pairs of doubly charged ions with high-confidence database identifications. Considering only top-ranked de novo predictions, 70% of the pairs were deciphered correctly. This de novo sequencing performance exceeds that of PEAKS and PepNovo on the CID spectra and that of UVnovo on CID or UVPD spectra alone. As presented here, the methods for paired CID/UVPD spectral acquisition and interpretation constitute a powerful workflow for high-throughput and accurate de novo peptide sequencing.
Analytical Chemistry | 2013
James A. Madsen; Byoung Joon Ko; Hua Xu; Jeremy A. Iwashkiw; Scott A. Robotham; Jared B. Shaw; Mario F. Feldman; Jennifer S. Brodbelt
Nature Chemistry | 2016
Katharine L. Diehl; Igor V. Kolesnichenko; Scott A. Robotham; J. Logan Bachman; Ye Zhong; Jennifer S. Brodbelt; Eric V. Anslyn
Analytical Chemistry | 2016
Scott A. Robotham; Andrew P. Horton; Joe R. Cannon; Victoria C. Cotham; Edward M. Marcotte; Jennifer S. Brodbelt
Journal of Agricultural and Food Chemistry | 2013
Scott A. Robotham; Jennifer S. Brodbelt