Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Andreas Schedlbauer is active.

Publication


Featured researches published by Andreas Schedlbauer.


Biochemistry | 2011

The metastasis-associated extracellular matrix protein osteopontin forms transient structure in ligand interaction sites.

Gerald Platzer; Andreas Schedlbauer; Angela Chemelli; Przemyslaw Ozdowy; Nicolas Coudevylle; Renate Auer; Georg Kontaxis; Markus Hartl; Andrew J. Miles; B. A. Wallace; Otto Glatter; Klaus Bister; Robert Konrat

Osteopontin (OPN) is an acidic hydrophilic glycophosphoprotein that was first identified as a major sialoprotein in bones. It functions as a cell attachment protein displaying a RGD cell adhesion sequence and as a cytokine that signals through integrin and CD44 cell adhesion molecules. OPN is also implicated in human tumor progression and cell invasion. OPN has intrinsic transforming activity, and elevated OPN levels promote metastasis. OPN gene expression is also strongly activated in avian fibroblasts simultaneously transformed by the v-myc and v-mil(raf) oncogenes. Here we have investigated the solution structure of a 220-amino acid recombinant OPN protein by an integrated structural biology approach employing bioinformatic sequence analysis, multidimensional nuclear magnetic resonance spectroscopy, synchrotron radiation circular dichroism spectroscopy, and small-angle X-ray scattering. These studies suggest that OPN is an intrinsically unstructured protein in solution. Although OPN does not fold into a single defined structure, its conformational flexibility significantly deviates from random coil-like behavior. OPN comprises distinct local secondary structure elements with reduced conformational flexibility and substantially populates a compact subspace displaying distinct tertiary contacts. These compacted regions of OPN encompass the binding sites for α(V)β(III) integrin and heparin. The conformational flexibility combined with the modular architecture of OPN may represent an important structural prerequisite for its functional diversity.


Journal of the American Chemical Society | 2009

Autocorrelation Analysis of NOESY Data Provides Residue Compactness for Folded and Unfolded Proteins

Andreas Schedlbauer; Nicolas Coudevylle; Renate Auer; Karin Kloiber; Martin Tollinger; Robert Konrat

A novel spectral entropy interpretation for protein NOESY data is presented for the investigation of the spatial distribution of residues in protein structures without the requirement of NOE cross peak assignments. In this approach individual traces S(i)(omega) from a 3D (15)N NOESY-HSQC taken at frequency positions corresponding to different amide groups (residue position i) are subjected to a self-convolution procedure thus leading to the autocorrelation function C(i)(omega) of the NOESY-trace for a particular backbone residue position. The characteristic spatial surrounding of a particular residue position is reflected in the corresponding autocorrelation function and can be quantified by taking the (spectral) entropy S(nu) as an information measure. The feasibility of this novel approach is demonstrated with applications to the proteins Cyclophilin D and Osteopontin and the protein complex between the lipocalin Q83 and the bacterial siderophore Enterobactin. Typically, large entropy values were found for residues located in structurally loosely defined regions, whereas small entropy values were found for residues in hydrophobic core regions of the protein with tightly interacting side chains and distinct chemical shift patterns. The applications to the unfolded Osteopontin and the Q83/Enterobactin protein complex indicated that both local compaction of the polypeptide chain due to transiently formed structural elements and subtle changes in side-chain packing can be efficiently probed by this novel approach.


Biomolecular Nmr Assignments | 2008

Backbone assignment of osteopontin, a cytokine and cell attachment protein implicated in tumorigenesis

Andreas Schedlbauer; Przemyslaw Ozdowy; Georg Kontaxis; Markus Hartl; Klaus Bister; Robert Konrat

OPN is an RGD-containing protein overexpressed in cells transformed by v-myc and v-mil(raf) oncogenes. Here we report the resonance assignment of recombinant quail OPN and provide NMR evidence that quail OPN is an intrinsically unstructured protein in solution.


Cellular Physiology and Biochemistry | 2011

The C-terminus of ICln is natively disordered but displays local structural preformation.

Andreas Schedlbauer; Rosaria Gandini; Georg Kontaxis; Markus Paulmichl; Johannes Fürst; Robert Konrat

ICln is a vital, ubiquitously expressed protein with roles in cell volume regulation, angiogenesis, cell morphology, activation of platelets and RNA processing. In previous work we have determined the 3D structure of the N-terminus of ICln (residues 1-159), which folds into a PH-like domain followed by an unstructured region (residues H134 – Q159) containing protein-protein interaction sites. Here we present sequence-specific resonance assignments of the C-terminus (residues Q159 – H235) of ICln by NMR, and show that this region of the protein is intrinsically unstructured. By applying 13Cα- 13Cβ secondary chemical shifts to detect possible preferences for secondary structure elements we show that the C-terminus of ICln adopts a preferred α-helical organization between residues E170 and E187, and exists preferentially in extended conformations (β-strands) between residues D161 to Y168 and E217 to T223.


Journal of Biomolecular NMR | 2008

Direct methods and residue type specific isotope labeling in NMR structure determination and model-driven sequential assignment

Andreas Schedlbauer; Renate Auer; Karin Ledolter; Martin Tollinger; Karin Kloiber; Roman J. Lichtenecker; Simon Ruedisser; Ulrich Hommel; Walther Schmid; Robert Konrat; Georg Kontaxis

Direct methods in NMR based structure determination start from an unassigned ensemble of unconnected gaseous hydrogen atoms. Under favorable conditions they can produce low resolution structures of proteins. Usually a prohibitively large number of NOEs is required, to solve a protein structure ab-initio, but even with a much smaller set of distance restraints low resolution models can be obtained which resemble a protein fold. One problem is that at such low resolution and in the absence of a force field it is impossible to distinguish the correct protein fold from its mirror image. In a hybrid approach these ambiguous models have the potential to aid in the process of sequential backbone chemical shift assignment when 13Cβ and 13C′ shifts are not available for sensitivity reasons. Regardless of the overall fold they enhance the information content of the NOE spectra. These, combined with residue specific labeling and minimal triple-resonance data using 13Cα connectivity can provide almost complete sequential assignment. Strategies for residue type specific labeling with customized isotope labeling patterns are of great advantage in this context. Furthermore, this approach is to some extent error-tolerant with respect to data incompleteness, limited precision of the peak picking, and structural errors caused by misassignment of NOEs.


Journal of Biomolecular NMR | 2003

Letter to the Editor: Sequence-specific resonance assignments of ICln, an ion channel cloned from epithelial cells

Andreas Schedlbauer; Georg Kontaxis; Matthias König; Johannes Fürst; Martin Jakab; Markus Ritter; Lisa Garavaglia; Guido Bottà; Giuliano Meyer; M. Paulmichl; Robert Konrat

Andreas Schedlbauera, Georg Kontaxisa, Matthias Konigb, Johannes Furstb,∗, Martin Jakabb, Markus Ritterb, Lisa Garavagliac, Guido Bottac, Giuliano Meyerc, Markus Paulmichlb,c & Robert Konrata,∗∗ aInstitute of Theoretical Chemistry and Molecular Structural Biology, University of Vienna, Rennweg 95b, A-1030 Vienna, Austria; bDepartment of Physiology, University of Innsbruck, Fritz-Pregl-Str.3, A-6020 Innsbruck, Austria; cDepartment of Physiology and Biochemistry, Universita degli Studi di Milano, Via Celoria 26, I-20133 Milan, Italy


Journal of Biological Chemistry | 2005

ICln159 Folds into a Pleckstrin Homology Domain-like Structure INTERACTION WITH KINASES AND THE SPLICING FACTOR LSm4

Johannes Fürst; Andreas Schedlbauer; Rosaria Gandini; Maria Lisa Garavaglia; Stefano Saino; Martin Gschwentner; Bettina Sarg; Herbert Lindner; Martin Jakab; Markus Ritter; Claudia Bazzini; Guido Bottà; Giuliano Meyer; Georg Kontaxis; Ben C. Tilly; Robert Konrat; Markus Paulmichl


Journal of Biological Chemistry | 2005

ICln159 folds into a PH-domain like structure: Interaction with kinases and the splicing-factor LSm4

Johannes Fürst; Andreas Schedlbauer; Rosaria Gandini; Maria Lisa Garavaglia; Stefano Saino; Martin Gschwentner; Bettina Sarg; Herbert Lindner; Martin Jakab; Markus Ritter; Claudia Bazzini; Guido Bottà; Giuliano Meyer; Georg Kontaxis; Ben C. Tilly; Robert Konrat; Markus Paulmichl


Journal of Biomolecular NMR | 2007

Automated backbone and side-chain assignment of mitochondrial matrix cyclophilin D

Andreas Schedlbauer; Bernd Hoffmann; Georg Kontaxis; Simon Rüdisser; Ulrich Hommel; Robert Konrat


Journal of Biomolecular NMR | 2003

Sequence-specific resonance assignments of ICln, an ion channel cloned from epithelial cells.

Andreas Schedlbauer; Georg Kontaxis; Matthias König; Johannes Fürst; Martin Jakab; Markus Ritter; L. Garavaglia; Guido Bottà; G. Meyer; M. Paulmichl; Robert Konrat

Collaboration


Dive into the Andreas Schedlbauer's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Georg Kontaxis

Max F. Perutz Laboratories

View shared research outputs
Top Co-Authors

Avatar

Johannes Fürst

Innsbruck Medical University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Martin Jakab

University of Innsbruck

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Bettina Sarg

Innsbruck Medical University

View shared research outputs
Top Co-Authors

Avatar

Herbert Lindner

Innsbruck Medical University

View shared research outputs
Researchain Logo
Decentralizing Knowledge