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Dive into the research topics where Editha Bayer is active.

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Featured researches published by Editha Bayer.


Journal of Biological Chemistry | 2000

The Fas-induced apoptosis analyzed by high throughput proteome analysis.

Christopher Gerner; Ulrike Fröhwein; Josef Gotzmann; Editha Bayer; Dieter Gelbmann; Wilfried Bursch; Rolf Schulte-Hermann

The fate of cytosolic proteins was studied during Fas-induced cell death of Jurkat T-lymphocytes by proteome analysis. Among 1000 spots resolved in two-dimensional gels, comparison of control versus apoptotic cells revealed that the signal intensity of 19 spots decreased or even disappeared, whereas 38 novel spots emerged. These proteins were further analyzed with respect tode novo protein synthesis, phosphorylation status, and intracellular localization by metabolic labeling and analysis of subcellular protein fractions in combination with two-dimensional Western blots and mass spectrometry analysis of tryptic digests. We found that e.g. hsp27, hsp70B, calmodulin, and H-ras synthesis was induced upon Fas signaling. 34 proteins were affected by dephosphorylation (e.g. endoplasmin) and phosphorylation (e.g. hsc70, hsp57, and hsp90). Nuclear annexin IV translocated to the cytosol, whereas decreasing cytosolic TCP-1α became detectable in the nucleus. In addition, degradation of 12 proteins was observed; among them myosin heavy chain was identified as a novel caspase target. Fas-induced proteome alterations were compared with those of other cell death inducers, indicating specific physiological characteristics of different cell death mechanisms, consequent to as well as independent of caspase activation. Characteristic proteome alterations of apoptotic cells at early time points were found reminiscent of those of malignant cells in vivo.


Molecular & Cellular Proteomics | 2002

Concomitant Determination of Absolute Values of Cellular Protein Amounts, Synthesis Rates, and Turnover Rates by Quantitative Proteome Profiling

Christopher Gerner; Susanne Vejda; Dieter Gelbmann; Editha Bayer; Josef Gotzmann; Rolf Schulte-Hermann; Wolfgang Mikulits

Two-dimensional gel electrophoresis of protein fractions isolated from 35S-radiolabeled cells provides qualitative information on intracellular amounts, 35S incorporation rates, protein modifications, and subcellular localizations of up to thousands of individual proteins. In this study we extended proteome profiling to provide quantitative data on synthesis rates of individual proteins. We combined fluorescence detection of radiolabeled proteins with SYPRO ruby™ staining and subsequent autoradiography of the same gels, thereby quantifying protein amounts and 35S incorporation. To calibrate calculation of absolute synthesis rates, we determined the amount and autoradiograph intensity of radiolabeled haptoglobin secreted by interleukin-6 pretreated HepG2 cells. This allowed us to obtain a standard calibration value for 35S incorporation per autoradiograph intensity unit. This value was used to measure protein synthesis rates during time course experiments of heat-shocked U937 cells. We measured the increasing amounts of hsp70 and calculated it by integration of the determined hsp70 synthesis rates over time. Similar results were obtained by both methods, validating our standardization procedure. Based on the assumption that the synthesis rate of proteins in a steady state of cell metabolism would essentially compensate protein degradation, we calculated biological half-lives of proteins from protein amounts and synthesis rates determined from two-dimensional gels. Calculated protein half-lives were found close to those determined by pulse-chase experiments, thus validating this new method. In conclusion, we devised a method to assess quantitative proteome profiles covering determination of individual amounts, synthesis, and turnover rates of proteins.


Molecular & Cellular Proteomics | 2002

Plasma from Cancer Patients Featuring a Characteristic Protein Composition Mediates Protection against Apoptosis

Susanne Vejda; Carsten Posovszky; Sieglinde Zelzer; Barbara Peter; Editha Bayer; Dieter Gelbmann; Rolf Schulte-Hermann; Christopher Gerner

By comparative proteome analysis we searched for characteristic alterations of human plasma accompanying neoplastic disease. We identified protein alterations in plasma of prostate-, lung-, and breast-cancer patients in comparison to controls, comprising elevated levels of fibrinogen γ-chain dimer, degradation products of antiplasmin and laminin γ-chain, and elevated levels of acute phase proteins. The latter proteins and laminin fragments have been described as anti-apoptotic factors. We raised the question whether these alterations may have any relevance for the regulation of apoptosis. In contrast to plasma derived from healthy donors, samples from prostate-, lung-, and breast-cancer patients selectively inhibited Fas- and staurosporine-induced apoptosis in Jurkat cells but remained ineffective upon UV light-induced apoptosis. These data suggested that inhibition occurred by extracellular interference with apoptosis induction. Supporting this hypothesis, we found that formation of the CD95 death-inducing signal complex was strongly inhibited in the presence of plasma from cancer patients.


Electrophoresis | 2009

Introducing the CPL/MUW proteome database: interpretation of human liver and liver cancer proteome profiles by referring to isolated primary cells.

Helge Wimmer; Nina Gundacker; Johannes Griss; Verena J. Haudek; Stefan Stättner; Thomas Mohr; Hannes Zwickl; Verena Paulitschke; David M. Baron; Wolfgang Trittner; Markus Kubicek; Editha Bayer; Astrid Slany; Christopher Gerner

Interpretation of proteome data with a focus on biomarker discovery largely relies on comparative proteome analyses. Here, we introduce a database‐assisted interpretation strategy based on proteome profiles of primary cells. Both 2‐D‐PAGE and shotgun proteomics are applied. We obtain high data concordance with these two different techniques. When applying mass analysis of tryptic spot digests from 2‐D gels of cytoplasmic fractions, we typically identify several hundred proteins. Using the same protein fractions, we usually identify more than thousand proteins by shotgun proteomics. The data consistency obtained when comparing these independent data sets exceeds 99% of the proteins identified in the 2‐D gels. Many characteristic differences in protein expression of different cells can thus be independently confirmed. Our self‐designed SQL database (CPL/MUW – database of the Clinical Proteomics Laboratories at the Medical University of Vienna accessible via www.meduniwien.ac.at/proteomics/database) facilitates (i) quality management of protein identification data, which are based on MS, (ii) the detection of cell type‐specific proteins and (iii) of molecular signatures of specific functional cell states. Here, we demonstrate, how the interpretation of proteome profiles obtained from human liver tissue and hepatocellular carcinoma tissue is assisted by the Clinical Proteomics Laboratories at the Medical University of Vienna‐database. Therefore, we suggest that the use of reference experiments supported by a tailored database may substantially facilitate data interpretation of proteome profiling experiments.


Journal of Proteome Research | 2008

Consequences of Acute and Chronic Oxidative Stress upon the Expression Pattern of Proteins in Peripheral Blood Mononuclear Cells

Verena J. Haudek; Nina Gundacker; Astrid Slany; Helge Wimmer; Editha Bayer; Karoline Pablé; Christopher Gerner

Oxidative stress accompanies various diseases associated with chronic inflammation, including cancer. We exposed human peripheral blood mononuclear cells (PBMCs) to hydrogen peroxide in autologous plasma imitating in vivo conditions. Proteome alterations of metabolically labeled cells were recorded by means of 2D gel electrophoresis in addition to shotgun analysis. Cells displayed a distinct stress response and down-regulated manganese superoxide dismutase, while a large number of other redox-regulating enzymes remained unaffected. In the second part of the experiment, we isolated PBMCs from cancer patients to analyze primary cells exposed to chronic oxidative stress. Plasma peroxidation levels of the patients were significantly higher than those of age and sex-matched controls. The corresponding cells displayed significant proteome alterations which appear to be related to inflammation and apoptosis regulation. The present data, fully accessible via PRIDE (accessions 3844-59), may be the first step in the design of a combined protein assay specifically indicating oxidative stress in human PBMCs.


OncoImmunology | 2015

Myeloid STAT3 promotes formation of colitis-associated colorectal cancer in mice

Paulina Pathria; Dagmar Gotthardt; Michaela Prchal-Murphy; Eva-Maria Putz; Martin Holcmann; Michaela Schlederer; Beatrice Grabner; Ilija Crnčec; Jasmin Svinka; Monica Musteanu; Thomas Hoffmann; Martin Filipits; Walter Berger; Valeria Poli; Lukas Kenner; Martin Bilban; Emilio Casanova; Mathias Müller; Birgit Strobl; Editha Bayer; Thomas Mohr; Veronika Sexl; Robert Eferl

Myeloid cells lacking STAT3 promote antitumor responses of NK and T cells but it is unknown if this crosstalk affects development of autochthonous tumors. We deleted STAT3 in murine myeloid cells (STAT3Δm) and examined the effect on the development of autochthonous colorectal cancers (CRCs). Formation of Azoxymethane/Dextransulfate (AOM/DSS)-induced CRCs was strongly suppressed in STAT3Δm mice. Gene expression profiling showed strong activation of T cells in the stroma of STAT3Δm CRCs. Moreover, STAT3Δm host mice were better able to control the growth of transplanted MC38 colorectal tumor cells which are known to be killed in a T cell-dependent manner. These data suggest that myeloid cells lacking STAT3 control formation of CRCs mainly via cross activation of T cells. Interestingly, the few CRCs that formed in STAT3Δm mice displayed enhanced stromalization but appeared normal in size indicating that they have acquired ways to escape enhanced tumor surveillance. We found that CRCs in STAT3Δm mice consistently activate STAT3 signaling which is implicated in immune evasion and might be a target to prevent tumor relapse.


PLOS ONE | 2014

Autonomous inhibition of apoptosis correlates with responsiveness of colon carcinoma cell lines to ciglitazone.

David M. Baron; Ulrike Kaindl; Verena Haudek-Prinz; Editha Bayer; Clemens Röhrl; Christopher Gerner; Brigitte Marian

Colorectal cancer is a leading cause of mortality worldwide. Resistance to therapy is common and often results in patients succumbing to the disease. The mechanisms of resistance are poorly understood. Cells basically have two possibilities to survive a treatment with potentially apoptosis-inducing substances. They can make use of their existing proteins to counteract the induced reactions or quickly upregulate protective factors to evade the apoptotic signal. To identify protein patterns involved in resistance to apoptosis, we studied two colorectal adenocarcinoma cell lines with different growth responses to low-molar concentrations of the thiazolidinedione Ciglitazone: HT29 cells underwent apoptosis, whereas SW480 cells increased cell number. Fluorescence detection and autoradiography scans of 2D-PAGE gels were performed in both cell lines to assess protein synthesis and turnover, respectively. To verify the data we performed shotgun analysis using the same treatment procedure as in 2D-experiments. Biological functions of the identified proteins were mainly associated with apoptosis regulation, chaperoning, intrinsic inflammation, and DNA repair. The present study suggests that different growth response of two colorectal carcinoma cell lines after treatment with Ciglitazone results from cell-specific protein synthesis and differences in protein regulation.


Molecular Oncology | 2018

STAT1 is a sex‐specific tumor suppressor in colitis‐associated colorectal cancer

Ilija Crnčec; Madhura Modak; Claire Gordziel; Jasmin Svinka; Irene Scharf; Stefan Moritsch; Paulina Pathria; Michaela Schlederer; Lukas Kenner; Gerald Timelthaler; Mathias Müller; Birgit Strobl; Emilio Casanova; Editha Bayer; Thomas Mohr; Johannes Stöckl; Karlheinz Friedrich; Robert Eferl

The interferon‐inducible transcription factor STAT1 is a tumor suppressor in various malignancies. We investigated sex‐specific STAT1 functions in colitis and colitis‐associated colorectal cancer (CRC) using mice with specific STAT1 deletion in intestinal epithelial cells (STAT1∆IEC). Male but not female STAT1∆IEC mice were more resistant to DSS‐induced colitis than sex‐matched STAT1flox/flox controls and displayed reduced intraepithelial infiltration of CD8+ TCRαβ+ granzyme B+ T cells. Moreover, DSS treatment failed to induce expression of T‐cell‐attracting chemokines in intestinal epithelial cells of male but not of female STAT1∆IEC mice. Application of the AOM‐DSS protocol for induction of colitis‐associated CRC resulted in increased intestinal tumor load in male but not in female STAT1∆IEC mice. A sex‐specific stratification of human CRC patients corroborated the data obtained in mice and revealed that reduced tumor cell‐intrinsic nuclear STAT1 protein expression is a poor prognostic factor in men but not in women. These data demonstrate that epithelial STAT1 is a male‐specific tumor suppressor in CRC of mice and humans.


International Archives of Occupational and Environmental Health | 2010

Increased protein synthesis by cells exposed to a 1,800-MHz radio-frequency mobile phone electromagnetic field, detected by proteome profiling

Christopher Gerner; Verena J. Haudek; Ulla Schandl; Editha Bayer; Nina Gundacker; Hans Peter Hutter; Wilhelm Mosgoeller


Proteomics | 2004

Towards a standardized human proteome database: Quantitative proteome profiling of living cells

Elisabeth Traxler; Editha Bayer; Johannes Stöckl; Thomas Mohr; Christof Lenz; Christopher Gerner

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Nina Gundacker

Medical University of Vienna

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Rolf Schulte-Hermann

Medical University of Vienna

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Thomas Mohr

Medical University of Vienna

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Dieter Gelbmann

Institute of Cancer Research

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David M. Baron

Medical University of Vienna

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Johannes Stöckl

Medical University of Vienna

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Verena J. Haudek

Medical University of Vienna

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