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Dive into the research topics where Yetrib Hathout is active.

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Featured researches published by Yetrib Hathout.


Applied and Environmental Microbiology | 2000

Rapid Characterization of Spores of Bacillus cereus Group Bacteria by Matrix-Assisted Laser Desorption-Ionization Time-of-Flight Mass Spectrometry

Victor Ryzhov; Yetrib Hathout; Catherine Fenselau

ABSTRACT Matrix-assisted laser desorption-ionization (MALDI) time-of-flight mass spectrometry was used to characterize the spores of 14 microorganisms of the Bacillus cereus group. This group includes the four Bacillus species B. anthracis, B. cereus, B. mycoides, andB. thuringiensis. MALDI mass spectra obtained from whole bacterial spores showed many similarities between the species, except for B. mycoides. At the same time, unique mass spectra could be obtained for the different B. cereus and B. thuringiensis strains, allowing for differentiation at the strain level. To increase the number of detectable biomarkers in the usually peak-poor MALDI spectra of spores, the spores were treated by corona plasma discharge (CPD) or sonicated prior to MALDI analysis. Spectra of sonicated or CPD-treated spores displayed an ensemble of biomarkers common for B. cereus group bacteria. Based on the spectra available, these biomarkers differentiate B. cereus group spores from those of Bacillus subtilis andBacillus globigii. The effect of growth medium on MALDI spectra of spores was also explored.


Expert Review of Proteomics | 2007

Approaches to the study of the cell secretome.

Yetrib Hathout

The secretome, or secretomics, has recently emerged as a new term to describe the global study of proteins that are secreted by a cell, tissue or organism at any given time or under certain conditions. The secretome constitutes an important class of proteins that control and regulate a multitude of biological and physiological processes, thus making it a clinically relevant source for biomarkers and therapeutic target discoveries. There are several approaches that are being implemented to study such a class of proteins; however, each of these approaches has its advantages and limitations. While genome-wide studies using signal predictions can provide a comprehensive analysis of the secretome, the detection and quantification of the actual secreted proteins in a tissue would be more relevant. The goal of this review is to provide an overview of the methods currently used to analyze such a class of proteins, as well as the challenges encountered during the study of the secretome. The implication of studying the cell secretome together with its clinical relevance will be also covered.


Proceedings of the National Academy of Sciences of the United States of America | 2015

Large-scale serum protein biomarker discovery in Duchenne muscular dystrophy

Yetrib Hathout; Edward N. Brody; Paula R. Clemens; Linda H. Cripe; Robert Kirk Delisle; Pat Furlong; Heather Gordish-Dressman; Lauren P. Hache; Erik Henricson; Eric P. Hoffman; Yvonne M. Kobayashi; Angela Lorts; Jean K. Mah; Craig M. McDonald; Bob Mehler; Sally K. Nelson; Malti Nikrad; Britta Swebilius Singer; Fintan Steele; David Sterling; H. Lee Sweeney; Steven Williams; Larry Gold

Significance Duchenne muscular dystrophy (DMD) is a rare and devastating muscle disease caused by mutations in the X-linked DMD gene (which encodes the dystrophin protein). Serum biomarkers hold significant potential as objective phenotypic measures of DMD disease state, as well as potential measures of pharmacological effects of and response to therapeutic interventions. Here we describe a proteomics approach to determine serum levels of 1,125 proteins in 93 DMD patients and 45 controls. The study identified 44 biomarkers that differed significantly between patients and controls. These data are being made available to DMD researchers and clinicians to accelerate the search for new diagnostic, prognostic, and therapeutic approaches. Serum biomarkers in Duchenne muscular dystrophy (DMD) may provide deeper insights into disease pathogenesis, suggest new therapeutic approaches, serve as acute read-outs of drug effects, and be useful as surrogate outcome measures to predict later clinical benefit. In this study a large-scale biomarker discovery was performed on serum samples from patients with DMD and age-matched healthy volunteers using a modified aptamer-based proteomics technology. Levels of 1,125 proteins were quantified in serum samples from two independent DMD cohorts: cohort 1 (The Parent Project Muscular Dystrophy–Cincinnati Children’s Hospital Medical Center), 42 patients with DMD and 28 age-matched normal volunteers; and cohort 2 (The Cooperative International Neuromuscular Research Group, Duchenne Natural History Study), 51 patients with DMD and 17 age-matched normal volunteers. Forty-four proteins showed significant differences that were consistent in both cohorts when comparing DMD patients and healthy volunteers at a 1% false-discovery rate, a large number of significant protein changes for such a small study. These biomarkers can be classified by known cellular processes and by age-dependent changes in protein concentration. Our findings demonstrate both the utility of this unbiased biomarker discovery approach and suggest potential new diagnostic and therapeutic avenues for ameliorating the burden of DMD and, we hope, other rare and devastating diseases.


Molecular & Cellular Proteomics | 2013

Interlaboratory Study on Differential Analysis of Protein Glycosylation by Mass Spectrometry: the ABRF Glycoprotein Research Multi-Institutional Study 2012

Nancy Leymarie; Paula J. Griffin; Karen R. Jonscher; Daniel Kolarich; Ron Orlando; Mark E. McComb; Joseph Zaia; Jennifer T Aguilan; William R. Alley; Friederich Altmann; Lauren E. Ball; Lipika Basumallick; Carthene R. Bazemore-Walker; Henning N. Behnken; Michael A. Blank; Kristy J. Brown; Svenja-Catharina Bunz; Christopher W. Cairo; John F. Cipollo; Rambod Daneshfar; Heather Desaire; Richard R. Drake; Eden P. Go; Radoslav Goldman; Clemens Gruber; Adnan Halim; Yetrib Hathout; Paul J. Hensbergen; D. Horn; Deanna C. Hurum

One of the principal goals of glycoprotein research is to correlate glycan structure and function. Such correlation is necessary in order for one to understand the mechanisms whereby glycoprotein structure elaborates the functions of myriad proteins. The accurate comparison of glycoforms and quantification of glycosites are essential steps in this direction. Mass spectrometry has emerged as a powerful analytical technique in the field of glycoprotein characterization. Its sensitivity, high dynamic range, and mass accuracy provide both quantitative and sequence/structural information. As part of the 2012 ABRF Glycoprotein Research Group study, we explored the use of mass spectrometry and ancillary methodologies to characterize the glycoforms of two sources of human prostate specific antigen (PSA). PSA is used as a tumor marker for prostate cancer, with increasing blood levels used to distinguish between normal and cancer states. The glycans on PSA are believed to be biantennary N-linked, and it has been observed that prostate cancer tissues and cell lines contain more antennae than their benign counterparts. Thus, the ability to quantify differences in glycosylation associated with cancer has the potential to positively impact the use of PSA as a biomarker. We studied standard peptide-based proteomics/glycomics methodologies, including LC-MS/MS for peptide/glycopeptide sequencing and label-free approaches for differential quantification. We performed an interlaboratory study to determine the ability of different laboratories to correctly characterize the differences between glycoforms from two different sources using mass spectrometry methods. We used clustering analysis and ancillary statistical data treatment on the data sets submitted by participating laboratories to obtain a consensus of the glycoforms and abundances. The results demonstrate the relative strengths and weaknesses of top-down glycoproteomics, bottom-up glycoproteomics, and glycomics methods.


Investigative Ophthalmology & Visual Science | 2010

Identification of Novel Substrates for the Serine Protease HTRA1 in the Human RPE Secretome

Eunkyung An; Supti Sen; Sung Kyu Park; Heather Gordish-Dressman; Yetrib Hathout

PURPOSE. To define the role of the serine protease HTRA1 in age-related macular degeneration (AMD) by examining its expression level and identifying its potential substrates in the context of primary RPE cell extracellular milieu. METHODS. Primary RPE cell cultures were established from human donor eyes and screened for CFH, ARMS2, and HTRA1 risk genotypes by using an allele-discrimination assay. HTRA1 expression in genotyped RPE cells was determined by using real-time PCR and quantitative proteomics. Potential HTRA1 substrates were identified by incubating RPE-conditioned medium with or without human recombinant HTRA1. Selectively cleaved proteins were quantified by using the differential stable isotope labeling by amino acids in cell culture (SILAC) strategy. RESULTS. HTRA1 mRNA levels were threefold higher in primary RPE cells homozygous for the HTRA1 promoter risk allele than in RPE cells with the wild-type allele, which translated into a twofold increase in HTRA1 secretion by RPE cells with the risk genotype. A total of 196 extracellular proteins were identified in the RPE secretome, and only 8 were found to be selectively cleaved by the human recombinant HTRA1. These include fibromodulin with 90% cleavage, clusterin (50%), ADAM9 (54%), vitronectin (54%), and alpha2-macroglobulin (55%), as well as some cell surface proteins including talin-1 (21%), fascin (40%), and chloride intracellular channel protein 1 (51%). CONCLUSIONS. Recombinant HTRA1 cleaves RPE-secreted proteins involved in regulation of the complement pathway (clusterin, vitronectin, and fibromodulin) and of amyloid deposition (clusterin, alpha2-macroglobulin, and ADAM9). These findings suggest a link between HTRA1, complement regulation, and amyloid deposition in AMD pathogenesis.


Journal of Proteome Research | 2011

Secretome Signature of Invasive Glioblastoma Multiforme

Catherine A. Formolo; Russell Williams; Heather Gordish-Dressman; Tobey J. MacDonald; Norman H. Lee; Yetrib Hathout

The incurability of malignant glioblastomas is mainly attributed to their highly invasive nature coupled with resistance to chemo- and radiation therapy. Because invasiveness is partially dictated by the proteins these tumors secrete we used SILAC to characterize the secretomes of four glioblastoma cell lines (LN18, T98, U118 and U87). Although U87 and U118 cells both secreted high levels of well-known invasion promoting proteins, a Matrigel invasion assay showed U87 cells to be eight times more invasive than U118 cells, suggesting that additional proteins secreted by U87 cells may contribute to the highly invasive phenotype. Indeed, we identified a number of proteins highly or exclusively expressed by U87 cells as compared to the less invasive cell lines. The most striking of these include ADAM9, ADAM10, cathepsin B, cathepsin L1, osteopontin, neuropilin-1, semaphorin-7A, suprabasin, and chitinase-3-like protein 1. U87 cells also expressed significantly low levels of some cell adhesion proteins such as periostin and EMILIN-1. Correlation of secretome profiles with relative levels of invasiveness using Pavlidis template matching further indicated potential roles for these proteins in U87 glioblastoma invasion. Antibody inhibition of CH3L1 reduced U87 cell invasiveness by 30%.


Analyst | 2010

Direct analysis of lipids and small metabolites in mouse brain tissue by AP IR-MALDI and reactive LAESI mass spectrometry

Bindesh Shrestha; Peter Nemes; Javad Nazarian; Yetrib Hathout; Eric P. Hoffman; Akos Vertes

Ambient analysis of metabolites and lipids from unprocessed animal tissue by mass spectrometry remains a challenge. The utility of the two novel ambient ionization techniques--atmospheric pressure infrared matrix-assisted laser desorption ionization (AP IR-MALDI) and laser ablation electrospray ionization (LAESI)--is demonstrated for the direct mass spectrometric analysis of lipids and other metabolites from mouse brain. Major brain lipids including cholesterol, various phospholipid species (glycerophosphocholines, sphingomyelin and phosphatidylethanolamines) along with numerous metabolites, for example g-aminobutyric acid (GABA), creatine and choline, were identified in a typical mass spectrum. In a new ionization modality of LAESI, termed reactive LAESI, in-plume reactions with a solute of choice (lithium sulfate) enhanced structure-specific fragmentation of lipid ions for improved molecular assignment in collision-activated dissociation experiments. In-plume processes in reactive LAESI provide additional structural information without contaminating the biological sample with the reactant.


Molecular & Cellular Proteomics | 2013

Identification of Disease Specific Pathways Using in Vivo SILAC Proteomics in Dystrophin Deficient mdx Mouse

Sree Rayavarapu; William Coley; Erdinc Cakir; Vanessa Jahnke; Shin Takeda; Yoshitsugu Aoki; Heather Grodish-Dressman; Jyoti K. Jaiswal; Eric P. Hoffman; Kristy J. Brown; Yetrib Hathout; Kanneboyina Nagaraju

Duchenne muscular dystrophy (DMD) is an X-linked neuromuscular disorder caused by a mutation in the dystrophin gene. DMD is characterized by progressive weakness of skeletal, cardiac, and respiratory muscles. The molecular mechanisms underlying dystrophy-associated muscle weakness and damage are not well understood. Quantitative proteomics techniques could help to identify disease-specific pathways. Recent advances in the in vivo labeling strategies such as stable isotope labeling in mouse (SILAC mouse) with 13C6-lysine or stable isotope labeling in mammals (SILAM) with 15N have enabled accurate quantitative analysis of the proteomes of whole organs and tissues as a function of disease. Here we describe the use of the SILAC mouse strategy to define the underlying pathological mechanisms in dystrophin-deficient skeletal muscle. Differential SILAC proteome profiling was performed on the gastrocnemius muscles of 3-week-old (early stage) dystrophin-deficient mdx mice and wild-type (normal) mice. The generated data were further confirmed in an independent set of mdx and normal mice using a SILAC spike-in strategy. A total of 789 proteins were quantified; of these, 73 were found to be significantly altered between mdx and normal mice (p < 0.05). Bioinformatics analyses using Ingenuity Pathway software established that the integrin-linked kinase pathway, actin cytoskeleton signaling, mitochondrial energy metabolism, and calcium homeostasis are the pathways initially affected in dystrophin-deficient muscle at early stages of pathogenesis. The key proteins involved in these pathways were validated by means of immunoblotting and immunohistochemistry in independent sets of mdx mice and in human DMD muscle biopsies. The specific involvement of these molecular networks early in dystrophic pathology makes them potential therapeutic targets. In sum, our findings indicate that SILAC mouse strategy has uncovered previously unidentified pathological pathways in mouse models of human skeletal muscle disease.


Applied and Environmental Microbiology | 2003

Small, Acid-Soluble Proteins as Biomarkers in Mass Spectrometry Analysis of Bacillus Spores

Yetrib Hathout; Barbara Setlow; Rosa-Martha Cabrera-Martinez; Catherine Fenselau; Peter Setlow

ABSTRACT The use of 1 N HCl for extraction of small, acid-soluble proteins (SASP) from different Bacillus spore species was examined. The extracts were analyzed by high-performance liquid chromatography and matrix-assisted laser desorption mass spectrometry and were found to be both qualitatively and quantitatively superior to extraction by acetonitrile-5% trifluoroacetic acid (70:30, vol/vol). Both major and minor α/β- and γ-type SASP were characterized by their molecular masses or tryptic peptide maps and by searches of both protein and unannotated genome databases. For all but 1 pair (B. cereus T and B. thuringiensis subsp. Kurstaki) among the 11 variants studied the suites of SASP masses are distinctive, consistent with the use of these proteins as potential biomarkers for spore identification by mass spectrometry.


Molecular & Cellular Proteomics | 2011

Quantitative Proteomic Analyses of Human Cytomegalovirus-Induced Restructuring of Endoplasmic Reticulum-Mitochondrial Contacts at Late Times of Infection

Aiping Zhang; Chad D. Williamson; Daniel S. Wong; Matthew D. Bullough; Kristy J. Brown; Yetrib Hathout; Anamaris M. Colberg-Poley

Endoplasmic reticulum-mitochondrial contacts, known as mitochondria-associated membranes, regulate important cellular functions including calcium signaling, bioenergetics, and apoptosis. Human cytomegalovirus is a medically important herpesvirus whose growth increases energy demand and depends upon continued cell survival. To gain insight into how human cytomegalovirus infection affects endoplasmic reticulum-mitochondrial contacts, we undertook quantitative proteomics of mitochondria-associated membranes using differential stable isotope labeling by amino acids in cell culture strategy and liquid chromatography-tandem MS analysis. This is the first reported quantitative proteomic analyses of a suborganelle during permissive human cytomegalovirus infection. Human fibroblasts were uninfected or human cytomegalovirus-infected for 72 h. Heavy mitochondria-associated membranes were isolated from paired unlabeled, uninfected cells and stable isotope labeling by amino acids in cell culture-labeled, infected cells and analyzed by liquid chromatography-tandem MS analysis. The results were verified by a reverse labeling experiment. Human cytomegalovirus infection dramatically altered endoplasmic reticulum-mitochondrial contacts by late times. Notable is the increased abundance of several fundamental networks in the mitochondria-associated membrane fraction of human cytomegalovirus-infected fibroblasts. Chaperones, including HSP60 and BiP, which is required for human cytomegalovirus assembly, were prominently increased at endoplasmic reticulum-mitochondrial contacts after infection. Minimal translational and translocation machineries were also associated with endoplasmic reticulum-mitochondrial contacts and increased after human cytomegalovirus infection as were glucose regulated protein 75 and the voltage dependent anion channel, which can form an endoplasmic reticulum-mitochondrial calcium signaling complex. Surprisingly, mitochondrial metabolic enzymes and cytosolic glycolytic enzymes were confidently detected in the mitochondria-associated membrane fraction and increased therein after infection. Finally, proapoptotic regulatory proteins, including Bax, cytochrome c, and Opa1, were augmented in endoplasmic reticulum-mitochondrial contacts after infection, suggesting attenuation of proapoptotic signaling by their increased presence therein. Together, these results suggest that human cytomegalovirus infection restructures the proteome of endoplasmic reticulum-mitochondrial contacts to bolster protein translation at these junctions, calcium signaling to mitochondria, cell survival, and bioenergetics and, thereby, allow for enhanced progeny production.

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Kristy J. Brown

Children's National Medical Center

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Eric P. Hoffman

Children's National Medical Center

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Heather Gordish-Dressman

Children's National Medical Center

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Haeri Seol

Children's National Medical Center

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Javad Nazarian

Children's National Medical Center

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Sree Rayavarapu

Children's National Medical Center

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Aiping Zhang

Children's National Medical Center

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