M. Arthur Moseley
Duke University
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Featured researches published by M. Arthur Moseley.
Nature Biotechnology | 2009
Michael T. Forrester; J. Will Thompson; Matthew W. Foster; Leonardo Nogueira; M. Arthur Moseley; Jonathan S. Stamler
We have modified the biotin switch assay for protein S-nitrosothiols (SNOs), using resin-assisted capture (SNO-RAC). Compared with existing methodologies, SNO-RAC requires fewer steps, detects high-mass S-nitrosylated proteins more efficiently, and facilitates identification and quantification of S-nitrosylated sites by mass spectrometry. When combined with iTRAQ labeling, SNO-RAC revealed that intracellular proteins may undergo rapid denitrosylation on a global scale. This methodology is readily adapted to analyzing diverse cysteine-based protein modifications, including S-acylation.
Science | 2014
Andreas R. Pfenning; Erina Hara; Osceola Whitney; Miriam V. Rivas; Rui Wang; Petra L. Roulhac; Jason T. Howard; Morgan Wirthlin; Peter V. Lovell; Ganeshkumar Ganapathy; Jacquelyn Mouncastle; M. Arthur Moseley; J. Will Thompson; Erik J. Soderblom; Atsushi Iriki; Masaki Kato; M. Thomas P. Gilbert; Guojie Zhang; Trygve E. Bakken; Angie Bongaarts; Amy Bernard; Ed Lein; Claudio V. Mello; Alexander J. Hartemink; Erich D. Jarvis
INTRODUCTION Vocal learning, the ability to imitate sounds, is a trait that has undergone convergent evolution in several lineages of birds and mammals, including song-learning birds and humans. This behavior requires cortical and striatal vocal brain regions, which form unique connections in vocal-learning species. These regions have been found to have specialized gene expression within some species, but the patterns of specialization across vocal-learning bird and mammal species have not been systematically explored. Identifying molecular brain similarities across species. Brain region gene expression specializations were hierarchically organized into specialization trees of each species (blue lines), including for circuits that control learned vocalizations (highlighted green, purple, and orange regions). A set of comparative genomic algorithms found the most similarly specialized regions between songbird and human (orange lines), some of which are convergently evolved. RATIONALE The sequencing of genomes representing all major vocal-learning and vocal-nonlearning avian lineages has allowed us to develop the genomic tools to measure anatomical gene expression across species. Here, we asked whether behavioral and anatomical convergence is associated with gene expression convergence in the brains of vocal-learning birds and humans. RESULTS We developed a computational approach that discovers homologous and convergent specialized anatomical gene expression profiles. This includes generating hierarchically organized gene expression specialization trees for each species and a dynamic programming algorithm that finds the optimal alignment between species brain trees. We applied this approach to brain region gene expression databases of thousands of samples and genes that we and others generated from multiple species, including humans and song-learning birds (songbird, parrot, and hummingbird) as well as vocal-nonlearning nonhuman primates (macaque) and birds (dove and quail). Our results confirmed the recently revised understanding of the relationships between avian and mammalian brains. We further found that songbird Area X, a striatal region necessary for vocal learning, was most similar to a part of the human striatum activated during speech production. The RA (robust nucleus of the arcopallium) analog of song-learning birds, necessary for song production, was most similar to laryngeal motor cortex regions in humans that control speech production. More than 50 genes contributed to their convergent specialization and were enriched in motor control and neural connectivity functions. These patterns were not found in vocal nonlearners, but songbird RA was similar to layer 5 of primate motor cortex for another set of genes, supporting previous hypotheses about the similarity of these cell types between bird and mammal brains. CONCLUSION Our approach can accurately and quantitatively identify functionally and molecularly analogous brain regions between species separated by as much as 310 million years from a common ancestor. We were able to identify analogous brain regions for song and speech between birds and humans, and broader homologous brain regions in which these specialized song and speech regions are located, for tens to hundreds of genes. These genes now serve as candidates involved in developing and maintaining the unique connectivity and functional properties of vocal-learning brain circuits shared across species. The finding that convergent neural circuits for vocal learning are accompanied by convergent molecular changes of multiple genes in species separated by millions of years from a common ancestor indicates that brain circuits for complex traits may have limited ways in which they could have evolved from that ancestor. Song-learning birds and humans share independently evolved similarities in brain pathways for vocal learning that are essential for song and speech and are not found in most other species. Comparisons of brain transcriptomes of song-learning birds and humans relative to vocal nonlearners identified convergent gene expression specializations in specific song and speech brain regions of avian vocal learners and humans. The strongest shared profiles relate bird motor and striatal song-learning nuclei, respectively, with human laryngeal motor cortex and parts of the striatum that control speech production and learning. Most of the associated genes function in motor control and brain connectivity. Thus, convergent behavior and neural connectivity for a complex trait are associated with convergent specialized expression of multiple genes.
Science Translational Medicine | 2013
Raymond J. Langley; Ephraim L. Tsalik; Jennifer C. van Velkinburgh; Seth W. Glickman; Brandon J. Rice; Chunping Wang; Bo Chen; Lawrence Carin; Arturo Suarez; Robert P. Mohney; D. Freeman; Mu Wang; Jinsam You; Jacob Wulff; J. Will Thompson; M. Arthur Moseley; Stephanie Reisinger; Brian T. Edmonds; Brian W. Grinnell; David R. Nelson; Darrell L. Dinwiddie; Neil A. Miller; Carol J. Saunders; Sarah S. Soden; Angela J. Rogers; Lee Gazourian; Anthony F. Massaro; Rebecca M. Baron; Augustine M. K. Choi; G. Ralph Corey
A molecular signature, derived from integrated analysis of clinical data, the metabolome, and the proteome in prospective human studies, improved the prediction of death in patients with sepsis, potentially identifying a subset of patients who merit intensive treatment. Understanding Survival of the Fittest in Sepsis Differentiating mild infections from life-threatening ones is a complex decision that is made millions of times a year in U.S. emergency rooms. Should a patient be sent home with antibiotics and chicken soup? Or should he or she be hospitalized for intensive treatment? Sepsis—a serious infection that is associated with a generalized inflammatory response—is one of the leading causes of death. In two prospective clinical studies reported by Langley et al., patients arriving at four urban emergency departments with symptoms of sepsis were evaluated clinically and by analysis of their plasma proteome and metabolome. Survivors and nonsurvivors at 28 days were compared, and a molecular signature was detected that appeared to differentiate these outcomes—even as early as the time of hospital arrival. The signature was part of a large set of differences between these groups, showing that better energy-producing fatty acid catabolism was associated with survival of the fittest in sepsis. A test developed from the signature was able to predict sepsis survival and nonsurvival reproducibly and better than current methods. This test could help to make all important decisions in the emergency room more accurate. Sepsis is a common cause of death, but outcomes in individual patients are difficult to predict. Elucidating the molecular processes that differ between sepsis patients who survive and those who die may permit more appropriate treatments to be deployed. We examined the clinical features and the plasma metabolome and proteome of patients with and without community-acquired sepsis, upon their arrival at hospital emergency departments and 24 hours later. The metabolomes and proteomes of patients at hospital admittance who would ultimately die differed markedly from those of patients who would survive. The different profiles of proteins and metabolites clustered into the following groups: fatty acid transport and β-oxidation, gluconeogenesis, and the citric acid cycle. They differed consistently among several sets of patients, and diverged more as death approached. In contrast, the metabolomes and proteomes of surviving patients with mild sepsis did not differ from survivors with severe sepsis or septic shock. An algorithm derived from clinical features together with measurements of five metabolites predicted patient survival. This algorithm may help to guide the treatment of individual patients with sepsis.
Journal of the American Society for Mass Spectrometry | 2003
Wanda M. Bodnar; R. Kevin Blackburn; Jo M. Krise; M. Arthur Moseley
The goal of this work was to evaluate the improvement in proteome coverage of complex protein mixtures gained by analyzing samples using both LC/ESI/MS/MS and LC/MALDI/MS/MS. Parallel analyses of a single sample were accomplished by interfacing a Probot fractionation system with a nanoscale LC system. The Probot was configured to perform a post-column split such that a fraction (20%) of the column effluent was sent for on-line LC/ESI/MS/MS data acquisition, and the majority of the sample (80%) was mixed with a matrix solution and deposited onto the MALDI target plate. The split-flow approach takes advantage of the concentration sensitive nature of ESI and provides sufficient quantity of sample for MALDI/MS/MS. Hybrid quadrupole time-of-flight mass spectrometers were used to acquire LC/ESI/MS/MS data and LC/MALDI/MS/MS data from a tryptic digest of a preparation of mammalian mitochondrial ribosomes. The mass spectrometers were configured to operate in a data dependent acquisition mode in which precursor ions observed in MS survey scans are automatically selected for interrogation by MS/MS. This type of acquisition scheme maximizes the number of peptide fragmentation spectra obtained and is commonly referred to as shotgun analysis. While a significant degree of overlap (63%) was observed between the proteins identified in the LC/ESI/MS/MS and LC/MALDI/MS/MS data sets, both unique peptides and unique proteins were observed by each method. These results demonstrate that improved proteome coverage can be obtained using a combination of these ionization techniques.
Journal of Lipid Research | 2011
Michael T. Forrester; Douglas T. Hess; J. Will Thompson; Rainbo Hultman; M. Arthur Moseley; Jonathan S. Stamler; Patrick J. Casey
Protein S-acylation is a major posttranslational modification whereby a cysteine thiol is converted to a thioester. A prototype is S-palmitoylation (fatty acylation), in which a protein undergoes acylation with a hydrophobic 16 carbon lipid chain. Although this modification is a well-recognized determinant of protein function and localization, current techniques to study cellular S-acylation are cumbersome and/or technically demanding. We recently described a simple and robust methodology to rapidly identify S-nitrosylation sites in proteins via resin-assisted capture (RAC) and provided an initial description of the applicability of the technique to S-acylated proteins (acyl-RAC). Here we expand on the acyl-RAC assay, coupled with mass spectrometry-based proteomics, to characterize both previously reported and novel sites of endogenous S-acylation. Acyl-RAC should therefore find general applicability in studies of both global and individual protein S-acylation in mammalian cells.
Molecular Microbiology | 2011
Hector A. Saka; J. Will Thompson; Yi-Shan Chen; Yadunanda Kumar; Laura G. Dubois; M. Arthur Moseley; Raphael H. Valdivia
Chlamydia trachomatis is an obligate intracellular pathogen responsible for ocular and genital infections of significant public health importance. C. trachomatis undergoes a biphasic developmental cycle alternating between two distinct forms: the infectious elementary body (EB), and the replicative but non‐infectious reticulate body (RB). The molecular basis for these developmental transitions and the metabolic properties of the EB and RB forms are poorly understood as these bacteria have traditionally been difficult to manipulate through classical genetic approaches. Using two‐dimensional liquid chromatography – tandem mass spectrometry (LC/LC‐MS/MS) we performed a large‐scale, label‐free quantitative proteomic analysis of C. trachomatis LGV‐L2 EB and RB forms. Additionally, we carried out LC‐MS/MS to analyse the membranes of the pathogen‐containing vacuole (‘inclusion’). We developed a label‐free quantification approaches to measure protein abundance in a mixed‐proteome background which we applied for EB and RB quantitative analysis. In this manner, we catalogued the relative distribution of > 54% of the predicted proteins in the C. trachomatis LGV‐L2 proteome. Proteins required for central metabolism and glucose catabolism were predominant in the EB, whereas proteins associated with protein synthesis, ATP generation and nutrient transport were more abundant in the RB. These findings suggest that the EB is primed for a burst in metabolic activity upon entry, whereas the RB form is geared towards nutrient utilization, a rapid increase in cellular mass, and securing the resources for an impending transition back to the EB form. The most revealing difference between the two forms was the relative deficiency of cytoplasmic factors required for efficient type III secretion (T3S) in the RB stage at 18 h post infection, suggesting a reduced T3S capacity or a low frequency of active T3S apparatus assembled on a ‘per organism’ basis. Our results show that EB and RB proteomes are streamlined to fulfil their predicted biological functions: maximum infectivity for EBs and replicative capacity for RBs.
The EMBO Journal | 2009
Joshua L. Andersen; Carrie E. Johnson; Christopher D. Freel; Amanda B. Parrish; Jennifer L Day; Marisa R. Buchakjian; Leta K. Nutt; J. Will Thompson; M. Arthur Moseley; Sally Kornbluth
The apoptotic initiator caspase‐2 has been implicated in oocyte death, in DNA damage‐ and heat shock‐induced death, and in mitotic catastrophe. We show here that the mitosis‐promoting kinase, cdk1–cyclin B1, suppresses apoptosis upstream of mitochondrial cytochrome c release by phosphorylating caspase‐2 within an evolutionarily conserved sequence at Ser 340. Phosphorylation of this residue, situated in the caspase‐2 interdomain, prevents caspase‐2 activation. S340 was susceptible to phosphatase 1 dephosphorylation, and an interaction between phosphatase 1 and caspase‐2 detected during interphase was lost in mitosis. Expression of S340A non‐phosphorylatable caspase‐2 abrogated mitotic suppression of caspase‐2 and apoptosis in various settings, including oocytes induced to undergo cdk1‐dependent maturation. Moreover, U2OS cells treated with nocodazole were found to undergo mitotic catastrophe more readily when endogenous caspase‐2 was replaced with the S340A mutant to lift mitotic inhibition. These data demonstrate that for apoptotic stimuli transduced by caspase‐2, cell death is prevented during mitosis through the inhibitory phosphorylation of caspase‐2 and suggest that under conditions of mitotic arrest, cdk1–cyclin B1 activity must be overcome for apoptosis to occur.
Journal of Chromatography A | 1989
M. Arthur Moseley; Leesa J. Deterding; Kenneth B. Tomer; James W. Jorgenson
The coaxial continuous-flow fast atom bombardment (FAB) system has proven to be very useful for interfacing capillary liquid chromatography and capillary zone electrophoresis (CZE) with sector mass spectrometry (MS). The interface can be used for the acquisition of both MS and MS-MS spectra from femtomole levels of non-volatile and/or thermally labile analytes while maintaining separation efficiencies of hundreds of thousands of plates. The use of coaxial fused-silica capillary columns to independently deliver the microcolumn effluent and the FAB matrix to the tip of the FAB probe offers the following advantages: the composition and flow-rates of the two liquid streams can be independently optimized; the FAB matrix does not effect the microcolumn separation process; peak broadening is minimized since the two liquid streams do not mix until they reach the tip of the FAB probe where ion desorption occurs; and, with CZE, active electrophoretic transport delivers the analytes directly to the FAB probe tip. These features combine to make this coaxial continuous flow fast atom bombardment interface particularly well suited for use with microcolumn separation methods.
Trends in Biotechnology | 2001
M. Arthur Moseley
Isotopically coded tag methodology holds significant promise for differential expression proteomic experiments. This methodology has the potential for high sensitivity, high coverage, and high throughput. Although significant technical advances have been made in the past year, this approach must be viewed as an emerging technique. Advances in sample fractionation, both at the protein and peptide level, and improved data acquisition schemes, will all be required before the full potential of the method is realized.
Free Radical Biology and Medicine | 2012
Jin Qian; Feng Chen; Yevgeniy Kovalenkov; Deepesh Pandey; M. Arthur Moseley; Matthew W. Foster; Stephen M. Black; Richard C. Venema; David W. Stepp; David Fulton
The NADPH oxidases (Noxs) are a family of transmembrane oxidoreductases that produce superoxide and other reactive oxygen species (ROS). Nox5 was the last of the conventional Nox isoforms to be identified and is a calcium-dependent enzyme that does not depend on accessory subunits for activation. Recently, Nox5 was shown to be expressed in human blood vessels and therefore the goal of this study was to determine whether nitric oxide (NO) can modulate Nox5 activity. Endogenously produced NO potently inhibited basal and stimulated Nox5 activity and this inhibition was reversible with chronic, but not acute, exposure to L-NAME. Nox5 activity was reduced by NO donors, iNOS, and eNOS and in endothelial cells and LPS-stimulated smooth muscle cells in a manner dependent on NO concentration. ROS production was diminished by NO in an isolated enzyme activity assay replete with surplus calcium and NADPH. There was no evidence for NO-dependent changes in tyrosine nitration, glutathiolation, or phosphorylation of Nox5. In contrast, there was evidence for the increased nitrosylation of Nox5 as determined by the biotin-switch assay and mass spectrometry. Four S-nitrosylation sites were identified and of these, mutation of C694 dramatically lowered Nox5 activity, NO sensitivity, and biotin labeling. Furthermore, coexpression of the denitrosylation enzymes thioredoxin 1 and GSNO reductase prevented NO-dependent inhibition of Nox5. The potency of NO against other Nox enzymes was in the order Nox1 ≥ Nox3 > Nox5 > Nox2, whereas Nox4 was refractory. Collectively, these results suggest that endogenously produced NO can directly S-nitrosylate and inhibit the activity of Nox5.