IBEX: an Open and Extensible Method for High Content Multiplex Imaging of Diverse Tissues Andrea J
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A Platform for Parameter Unlimited Molecular Geometry Imaging Obviously Enabling Life Saving Measures in ALS
Advances in Pure Mathematics, 2018, 8, 321-334 http://www.scirp.org/journal/apm ISSN Online: 2160-0384 ISSN Print: 2160-0368 A Platform for Parameter Unlimited Molecular Geometry Imaging Obviously Enabling Life Saving Measures in ALS Walter Schubert1,2 1Molecular Pattern Recognition Research Group, Medical Faculty, Otto von Guericke University, Magdeburg, Germany 2Human Toponome Project, TNL, Munich, Germany How to cite this paper: Schubert, W. Abstract (2018) A Platform for Parameter Unlimited Molecular Geometry Imaging Obviously This article deals with a molecular geometry imaging platform capable of Enabling Life Saving Measures in ALS. mapping the spatial protein-colocalisation and anti-colocalisation code of Advances in Pure Mathematics, 8, 321-334. large molecular systems at a time. The platform called molecular unlimited https://doi.org/10.4236/apm.2018.83017 systems imaging cycler (MUSIC) robotics was applied to amyotrophic lateral Received: February 15, 2018 sclerosis (ALS). The detection of ALS specific cells with a corresponding mul- Accepted: March 24, 2018 timolecular geometry in the blood led to therapeutic depletion of these cells Published: March 27, 2018 and to recovery of the treated patient, obviously because this therapy inter- feres with pathogenic invasion of these cells into the central nervous system, Copyright © 2018 by author and Scientific Research Publishing Inc. where they axotomize motor axons. Large scale geometry MUSIC robotics This work is licensed under the Creative imaging of up to 4.5 × 10481 power of combinatorial molecular resolution is Commons Attribution International key to detect these cells and to control depletion therapy for clinical success. License (CC BY 4.0). -
Encyclopedia of Systems Biology
Encyclopedia of Systems Biology Werner Dubitzky • Olaf Wolkenhauer Kwang-Hyun Cho • Hiroki Yokota Editors Encyclopedia of Systems Biology With 830 Figures and 148 Tables Editors Werner Dubitzky Kwang-Hyun Cho Biomedical Sciences Research Institute Department of Bio and Brain Engineering University of Ulster Korea Advanced Institute of Science and Coleraine, UK Technology (KAIST) Daejeon, Republic of Korea Olaf Wolkenhauer Department of Computer Science Hiroki Yokota University of Rostock Department of Biomedical Engineering Rostock, Germany Rensselaer Polytechnic Institute Troy, NY, USA ISBN 978-1-4419-9862-0 ISBN 978-1-4419-9863-7 (eBook) ISBN 978-1-4419-9864-4 (Print and electronic bundle) DOI 10.1007/ 978-1-4419-9863-7 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2013931182 # Springer ScienceþBusiness Media LLC 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. -
Toponomical Proteomics
AUTOMATED QUANTITATIVE ANALYSIS METHODS FOR TRANSLOCATION OF BIOMOLECULES IN RELATION TO MEMBRANE STRUCTURES Von der Fakult¨atf¨urMathematik, Informatik und Naturwissenschaften der RWTH Aachen University zur Erlangung des akademischen Grades einer Doktorin der Naturwissenschaften genehmigte Dissertation vorgelegt von Master of Science in Life Science Informatics OLGA DOMANOVA aus Sankt Petersburg, Russische F¨oderation Berichter: Universit¨atsprofessor Dr. rer. nat. Thomas Berlage Universit¨atsprofessorDr. rer. pol. Matthias Jarke Universit¨atsprofessorDr. med. Fabian Kießling Tag der m¨undlichen Pr¨ufung:18. Oktober 2013 Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verf¨ugbar. ii Abstract Biological processes are complex study objects due to their dynamic nature and structural diversity of living organisms. To study dynamic processes statistically, numerous experiments with multiple observations have to be performed, and data have to be analyzed and evaluated. Owing to great technological advances, gigabytes of data are being acquired both in research and industry. Slow and subjective manual analyses are not sufficient anymore, and automated evaluation methods are required. The distribution of biomolecules provides valuable information on a current biological state. The distribution of biomolecules depends on and is influenced by functions of biomolecules, and may thus be used to detect abnormalities. The relatively young research field toponomics de- scribes the laws of spatial arrangement of molecules. Several evaluation methods have previously been developed, automatized and standardized. However, no standard evaluation methods have been reported to quantitatively analyze such an important biological process like translocation of biomolecules. Translocation processes are vital for living organisms. For instance, substance inclusion into a cell or exclusion from it represent a translocation. -
Advances in Toponomics Drug Discovery: Imaging Cycler Microscopy Correctly Predicts a Therapy Method of Amyotrophic Lateral Sclerosis
Review Article Advances in Toponomics Drug Discovery: Imaging Cycler Microscopy Correctly Predicts a Therapy Method of Amyotrophic Lateral Sclerosis Walter Schubert* Abstract Dedicated to Dr. Klaus Tschira An imaging cycler microscope (ICM) is a fully automated (epi)fluorescence microscope Department of Medicine, Molecular Pat- which overcomes the spectral resolution limit resulting in parameter- and dimension- tern Recognition Research Group, Otto unlimited fluorescence imaging. This enables the spatial resolution of large molecular Von Guericke University, Magdeburg, systems with their emergent topological properties (toponome) in morphologically Germany intact cells and tissues displaying thousands of multi protein assemblies at a time. The resulting combinatorial geometry of these systems has been shown to be key for in- Grant sponsor: Klaus Tschira Foundation vivo/in-situ detection of lead proteins controlling protein network topology and (dys)- (KTS) function: If lead proteins are blocked or downregulated the corresponding disease pro- tein network disassembles. Here, correct therapeutic predictions are exemplified for Grant sponsor: Deutsche Forschungsge- ALS. ICM drug target studies have discovered an 18-dimensional cell surface molecular meinschaft, Grant number: DFG Schu627/ system in ALS-PBMC with a lead drug target protein, whose therapeutic downregula- 10-1 tion is now reported to show statistically significant effect with stop of disease progres- Grant sponsor: BMBF, Grant number: sion in one third of the ALS patients. Together, this clinical and the earlier CELLECT, NBL3, NGFN2, and NGFNplus experimental validations of the ICM approach indicate that ICM readily discovers in Grant sponsor: DFG-Innovationskolleg vivo robustness nodes of disease with lead proteins controlling them. Breaking in vivo (INK15) as well as the EU project IMAG- robustness nodes using drugs against their lead proteins is likely to overcome current INT, Grant number: Health-F5-2011- high drug attrition rates.