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Dive into the research topics where Christian Webhofer is active.

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Featured researches published by Christian Webhofer.


Analytical Chemistry | 2011

Proteome Scale Turnover Analysis in Live Animals Using Stable Isotope Metabolic Labeling

Yaoyang Zhang; Stefan Reckow; Christian Webhofer; Michael Boehme; Philipp Gormanns; Wolfgang M. Egge-Jacobsen; Christoph W. Turck

At present most quantitative proteomics investigations are focused on the analysis of protein expression differences between two or more sample specimens. With each analysis a static snapshot of a cellular state is captured with regard to protein expression. However, any information on protein turnover cannot be obtained using classic methodologies. Protein turnover, the result of protein synthesis and degradation, represents a dynamic process, which is of equal importance to understanding physiological processes. Methods employing isotopic tracers have been developed to measure protein turnover. However, applying these methods to live animals is often complicated by the fact that an assessment of precursor pool relative isotope abundance is required. Also, data analysis becomes difficult in case of low label incorporation, which results in a complex convolution of labeled and unlabeled peptide mass spectrometry signals. Here we present a protein turnover analysis method that circumvents this problem using a (15)N-labeled diet as an isotopic tracer. Mice were fed with the labeled diet for limited time periods and the resulting partially labeled proteins digested and subjected to tandem mass spectrometry. For the interpretation of the mass spectrometry data, we have developed the ProTurnyzer software that allows the determination of protein fractional synthesis rates without the need of precursor relative isotope abundance information. We present results validating ProTurnyzer with Escherichia coli protein data and apply the method to mouse brain and plasma proteomes for automated turnover studies.


Journal of Proteomics | 2009

QuantiSpec - Quantitative mass spectrometry data analysis of 15N-metabolically labeled proteins

Katrin Haegler; Nikola S. Mueller; Giuseppina Maccarrone; Eva Hunyadi-Gulyás; Christian Webhofer; Michaela D. Filiou; Yaoyang Zhang; Christoph W. Turck

For relative protein quantitation by mass spectrometry we metabolically labeled E. coli bacteria with (15)N-enriched diets. Proteins extracted from (15)N-labeled and unlabeled E. coli bacteria were mixed, separated by two-dimensional gel electrophoresis and enzymatically digested. The resulting tryptic peptides were analyzed by MALDI mass spectrometry. For the relative protein quantitation we developed fully automated software, QuantiSpec (Quantitative Mass Spectrometry Analysis Software), which uses data from MALDI TOF mass spectrometry and the Mascot database search engine. QuantiSpec detects natural as well as partially or fully labeled peptide isotope distributions. For each identified peptide the (15)N incorporation rate is determined by comparing the experimental to a set of theoretical isotope patterns based on the peptide sequence. Relative quantitation is accomplished by calculating the signal intensity ratios for each (14)N/(15)N peptide pair.


Translational Psychiatry | 2011

Metabolite profiling of antidepressant drug action reveals novel drug targets beyond monoamine elevation

Christian Webhofer; Philipp Gormanns; V Tolstikov; Walter Zieglgänsberger; Inge Sillaber; Florian Holsboer; Christoph W. Turck

Currently used antidepressants elevate monoamine levels in the synaptic cleft. There is good reason to assume that this is not the only source for antidepressant therapeutic activities and that secondary downstream effects may be relevant for alleviating symptoms of depression. We attempted to elucidate affected biochemical pathways downstream of monoamine reuptake inhibition by interrogating metabolomic profiles in DBA/2Ola mice after chronic paroxetine treatment. Metabolomic changes were investigated using gas chromatography-mass spectrometry profiling and group differences were analyzed by univariate and multivariate statistics. Pathways affected by antidepressant treatment were related to energy metabolism, amino acid metabolism and hormone signaling. The identified pathways reveal further antidepressant therapeutic action and represent targets for drug development efforts. A comparison of the central nervous system with blood plasma metabolite alterations identified GABA, galactose-6-phosphate and leucine as biomarker candidates for assessment of antidepressant treatment effects in the periphery.


Proteomics | 2009

A MS data search method for improved 15N‐labeled protein identification

Yaoyang Zhang; Christian Webhofer; Stefan Reckow; Michaela D. Filiou; Giuseppina Maccarrone; Christoph W. Turck

Quantitative proteomics using stable isotope labeling strategies combined with MS is an important tool for biomarker discovery. Methods involving stable isotope metabolic labeling result in optimal quantitative accuracy, since they allow the immediate combination of two or more samples. Unfortunately, stable isotope incorporation rates in metabolic labeling experiments using mammalian organisms usually do not reach 100%. As a consequence, protein identifications in 15N database searches have poor success rates. We report on a strategy that significantly improves the number of 15N‐labeled protein identifications and results in a more comprehensive and accurate relative peptide quantification workflow.


Neuropsychopharmacology | 2015

Homer1/mGluR5 Activity Moderates Vulnerability to Chronic Social Stress

Klaus V. Wagner; Jakob Hartmann; Christiana Labermaier; Alexander S. Häusl; Gengjing Zhao; Daniela Harbich; Bianca Schmid; Xiao-Dong Wang; Sara Santarelli; Christine Kohl; Nils C. Gassen; Natalie Matosin; Marcel Schieven; Christian Webhofer; Christoph W. Turck; Lothar Lindemann; Georg Jaschke; Joseph G. Wettstein; Theo Rein; Marianne B. Müller; Mathias V. Schmidt

Stress-induced psychiatric disorders, such as depression, have recently been linked to changes in glutamate transmission in the central nervous system. Glutamate signaling is mediated by a range of receptors, including metabotropic glutamate receptors (mGluRs). In particular, mGluR subtype 5 (mGluR5) is highly implicated in stress-induced psychopathology. The major scaffold protein Homer1 critically interacts with mGluR5 and has also been linked to several psychopathologies. Yet, the specific role of Homer1 in this context remains poorly understood. We used chronic social defeat stress as an established animal model of depression and investigated changes in transcription of Homer1a and Homer1b/c isoforms and functional coupling of Homer1 to mGluR5. Next, we investigated the consequences of Homer1 deletion, overexpression of Homer1a, and chronic administration of the mGluR5 inverse agonist CTEP (2-chloro-4-((2,5-dimethyl-1-(4-(trifluoromethoxy)phenyl)-1H-imidazol-4-yl)ethynyl)pyridine) on the effects of chronic stress. In mice exposed to chronic stress, Homer1b/c, but not Homer1a, mRNA was upregulated and, accordingly, Homer1/mGluR5 coupling was disrupted. We found a marked hyperactivity behavior as well as a dysregulated hypothalamic–pituitary–adrenal axis activity in chronically stressed Homer1 knockout (KO) mice. Chronic administration of the selective and orally bioavailable mGluR5 inverse agonist, CTEP, was able to recover behavioral alterations induced by chronic stress, whereas overexpression of Homer1a in the hippocampus led to an increased vulnerability to chronic stress, reflected in an increased physiological response to stress as well as enhanced depression-like behavior. Overall, our results implicate the glutamatergic system in the emergence of stress-induced psychiatric disorders, and support the Homer1/mGluR5 complex as a target for the development of novel antidepressant agents.


Proteomics | 2012

The 15N isotope effect as a means for correlating phenotypic alterations and affected pathways in a trait anxiety mouse model

Michaela D. Filiou; Christian Webhofer; Philipp Gormanns; Yaoyang Zhang; Stefan Reckow; Birgit Bisle; Larysa Teplytska; Elisabeth Frank; Melanie S. Kessler; Giuseppina Maccarrone; Rainer Landgraf; Christoph W. Turck

Stable isotope labeling techniques hold great potential for accurate quantitative proteomics comparisons by MS. To investigate the effect of stable isotopes in vivo, we metabolically labeled high anxiety‐related behavior (HAB) mice with the heavy nitrogen isotope 15N. 15N‐labeled HAB mice exhibited behavioral alterations compared to unlabeled (14N) HAB mice in their depression‐like phenotype. To correlate behavioral alterations with changes on the molecular level, we explored the 15N isotope effect on the brain proteome by comparing protein expression levels between 15N‐labeled and 14N HAB mouse brains using quantitative MS. By implementing two complementary in silico pathway analysis approaches, we were able to identify altered networks in 15N‐labeled HAB mice, including major metabolic pathways such as the tricarboxylic acid (TCA) cycle and oxidative phosphorylation. Here, we discuss the affected pathways with regard to their relevance for the behavioral phenotype and critically assess the utility of exploiting the 15N isotope effect for correlating phenotypic and molecular alterations.


Cerebral Cortex | 2016

Tau Deletion Prevents Stress-Induced Dendritic Atrophy in Prefrontal Cortex: Role of Synaptic Mitochondria

Sofia Lopes; Larysa Teplytska; Joao Vaz-Silva; Chrysoula Dioli; Rita Trindade; M. Morais; Christian Webhofer; Giuseppina Maccarrone; Osborne F. X. Almeida; Christoph W. Turck; Nuno Sousa; Ioannis Sotiropoulos; Michaela D. Filiou

Abstract Tau protein in dendrites and synapses has been recently implicated in synaptic degeneration and neuronal malfunction. Chronic stress, a well‐known inducer of neuronal/synaptic atrophy, triggers hyperphosphorylation of Tau protein and cognitive deficits. However, the cause‐effect relationship between these events remains to be established. To test the involvement of Tau in stress‐induced impairments of cognition, we investigated the impact of stress on cognitive behavior, neuronal structure, and the synaptic proteome in the prefrontal cortex (PFC) of Tau knock‐out (Tau‐KO) and wild‐type (WT) mice. Whereas exposure to chronic stress resulted in atrophy of apical dendrites and spine loss in PFC neurons as well as significant impairments in working memory in WT mice, such changes were absent in Tau‐KO animals. Quantitative proteomic analysis of PFC synaptosomal fractions, combined with transmission electron microscopy analysis, suggested a prominent role for mitochondria in the regulation of the effects of stress. Specifically, chronically stressed animals exhibit Tau‐dependent alterations in the levels of proteins involved in mitochondrial transport and oxidative phosphorylation as well as in the synaptic localization of mitochondria in PFC. These findings provide evidence for a causal role of Tau in mediating stress‐elicited neuronal atrophy and cognitive impairment and indicate that Tau may exert its effects through synaptic mitochondria.


Journal of Proteomics | 2013

N-15 metabolic labeling: Evidence for a stable isotope effect on plasma protein levels and peptide chromatographic retention times

Christian Webhofer; Yaoyang Zhang; Jan Brusis; Stefan Reckow; Rainer Landgraf; Giuseppina Maccarrone; Christoph W. Turck; Michaela D. Filiou

Many quantitative proteomics methods rely on protein and peptide labeling with stable isotopes. We have recently found that the introduction of ¹⁵N into organisms via in vivo metabolic labeling affects protein expression levels as well as metabolic pathways and behavioral phenotypes. Here, we present further evidence for a stable isotope effect based on the plasma proteome analysis of ¹⁵N-labeled mice. We compared plasma proteomes of ¹⁵N-labeled and unlabeled (¹⁴N) mice by quantitative MS. We found a number of protein level differences, some of which were verified immunochemically. In addition, we observed divergent chromatographic retention time and peak full width at half maximum (FWHM) between ¹⁵N-labeled and ¹⁴N tryptic peptides. Our data point toward a systemic effect of the introduction of heavy isotopes in vivo.


Molecular Neuropsychiatry | 2016

Fluoxetine Treatment Rescues Energy Metabolism Pathway Alterations in a Posttraumatic Stress Disorder Mouse Model

Chi-Ya Kao; Zhisong He; Kathrin Henes; John M. Asara; Christian Webhofer; Michaela D. Filiou; Philipp Khaitovich; Carsten T. Wotjak; Christoph W. Turck

Posttraumatic stress disorder (PTSD) is a prevalent psychiatric disorder. Several studies have attempted to characterize molecular alterations associated with PTSD, but most findings were limited to the investigation of specific cellular markers in the periphery or defined brain regions. In the current study, we aimed to unravel affected molecular pathways/mechanisms in the fear circuitry associated with PTSD. We interrogated a foot shock-induced PTSD mouse model by integrating proteomics and metabolomics profiling data. Alterations at the proteome level were analyzed using in vivo 15N metabolic labeling combined with mass spectrometry in the prelimbic cortex (PrL), anterior cingulate cortex (ACC), basolateral amygdala, central nucleus of the amygdala and CA1 of the hippocampus between shocked and nonshocked (control) mice, with and without fluoxetine treatment. In silico pathway analyses revealed an upregulation of the citric acid cycle pathway in PrL, and downregulation in ACC and nucleus accumbens (NAc). Chronic fluoxetine treatment prevented decreased citric acid cycle activity in NAc and ACC and ameliorated conditioned fear response in shocked mice. Our results shed light on the role of energy metabolism in PTSD pathogenesis and suggest potential therapy through mitochondrial targeting.


Scientific Reports | 2016

Purine and pyrimidine metabolism: Convergent evidence on chronic antidepressant treatment response in mice and humans

Dong Ik Park; Carine Dournes; Inge Sillaber; Manfred Uhr; John M. Asara; Nils C. Gassen; Theo Rein; Marcus Ising; Christian Webhofer; Michaela D. Filiou; Marianne B. Müller; Christoph W. Turck

Selective Serotonin Reuptake Inhibitors (SSRIs) are commonly used drugs for the treatment of psychiatric diseases including major depressive disorder (MDD). For unknown reasons a substantial number of patients do not show any improvement during or after SSRI treatment. We treated DBA/2J mice for 28 days with paroxetine and assessed their behavioral response with the forced swim test (FST). Paroxetine-treated long-time floating (PLF) and paroxetine-treated short-time floating (PSF) groups were stratified as proxies for drug non-responder and responder mice, respectively. Proteomics and metabolomics profiles of PLF and PSF groups were acquired for the hippocampus and plasma to identify molecular pathways and biosignatures that stratify paroxetine-treated mouse sub-groups. The critical role of purine and pyrimidine metabolisms for chronic paroxetine treatment response in the mouse was further corroborated by pathway protein expression differences in both mice and patients that underwent chronic antidepressant treatment. The integrated -omics data indicate purine and pyrimidine metabolism pathway activity differences between PLF and PSF mice. Furthermore, the pathway protein levels in peripheral specimens strongly correlated with the antidepressant treatment response in patients. Our results suggest that chronic SSRI treatment differentially affects purine and pyrimidine metabolisms, which may explain the heterogeneous antidepressant treatment response and represents a potential biosignature.

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John M. Asara

Beth Israel Deaconess Medical Center

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