Comparison of dimension-unlimited fluorescence imaging cycler microscopy (ICM) and standard three-parameter fluorescence microscopy
An imaging cycler microscope (ICM) is a fully automated (epi) fluorescence microscope which overcomes the spectral resolution limit resulting in parameter- and dimension-unlimited fluorescence imaging. The principle and robotic device was described by Walter Schubert in 1997[1] and has been further developed with his co-workers within the human toponome project.[2][3][4][5] The ICM runs robotically controlled repetitive incubation-imaging-bleaching cycles with dye-conjugated probe libraries recognizing target structures in situ (biomolecules in fixed cells or tissue sections). This results in the transmission of a randomly large number of distinct biological informations by re-using the same fluorescence channel after bleaching for the transmission of another biological information using the same dye which is conjugated to another specific probe, a.s.o. Thereby noise-reduced quasi-multichannel fluorescence images with reproducible physical, geometrical, and biophysical stabilities are generated. The resulting power of combinatorial molecular discrimination (PCMD) per data point is given by 65,536k, where 65,536 is the number of grey value levels (output of a 16-bit CCD camera), and k is the number of co-mapped biomolecules and/or subdomains per biomolecule(s). High PCMD has been shown for k = 100,[3][5] and in principle can be expanded for much higher numbers of k. In contrast to traditional multichannel–few-parameter fluorescence microscopy (panel a in the figure) high PCMDs in an ICM lead to high functional and spatial resolution (panel b in the figure). Systematic ICM analysis of biological systems reveals the supramolecular segregation law that describes the principle of order of large, hierarchically organized biomolecular networks in situ (toponome).[6] The ICM is the core technology for the systematic mapping of the complete protein network code in tissues (human toponome project).[2] The original ICM method[1] includes any modification of the bleaching step. Corresponding modifications have been reported for antibody retrieval [7] and chemical dye-quenching[8] debated recently.[9][10] The Toponome Imaging Systems (TIS) and multi-epitope-ligand cartographs (MELC) represent different stages of the ICM technological development. Imaging cycler microscopy received the American ISAC best paper award in 2008 for the three symbol code of organized proteomes.[11]
Citations
^ abSchubert W. (1997) Automated device and method for measuring and identifying molecules or fragments thereof. European patent EP 0810428 B1 [see also Schubert W. US patent 6,150,173 (2000); Japanese patent 3739528 (1998)].
^ abSchubert, Walter; Bonnekoh, Bernd; Pommer, Ansgar J.; Philipsen, Lars; Böckelmann, Raik; Malykh, Yanina; Gollnick, Harald; Friedenberger, Manuela; Bode, Marcus; Dress, Andreas W. M. (1 October 2006). "Analyzing proteome topology and function by automated multidimensional fluorescence microscopy". Nature Biotechnology. 24 (10): 1270–1278. doi:10.1038/nbt1250. PMID17013374. S2CID30436820.
^Friedenberger, Manuela; Bode, Marcus; Krusche, Andreas; Schubert, Walter (September 2007). "Fluorescence detection of protein clusters in individual cells and tissue sections by using toponome imaging system: sample preparation and measuring procedures". Nature Protocols. 2 (9): 2285–2294. doi:10.1038/nprot.2007.320. PMID17853885. S2CID10987767.
Barysenka, Andrei; Dress, Andreas W.M.; Schubert, Walter (1 September 2010). "An information theoretic thresholding method for detecting protein colocalizations in stacks of fluorescence images". Journal of Biotechnology. 149 (3): 127–131. doi:10.1016/j.jbiotec.2010.01.009. PMID20100525.
Bhattacharya, Sayantan; Mathew, George; Ruban, Ernie; Epstein, David B. A.; Krusche, Andreas; Hillert, Reyk; Schubert, Walter; Khan, Michael (3 December 2010). "Toponome Imaging System: Protein Network Mapping in Normal and Cancerous Colon from the Same Patient Reveals More than Five-Thousand Cancer Specific Protein Clusters and Their Subcellular Annotation by Using a Three Symbol Code". Journal of Proteome Research. 9 (12): 6112–6125. doi:10.1021/pr100157p. PMID20822185.
Bode, Marcus; Irmler, Martin; Friedenberger, Manuela; May, Caroline; Jung, Klaus; Stephan, Christian; Meyer, Helmut E.; Lach, Christiane; Hillert, Reyk; Krusche, Andreas; Beckers, Johannes; Marcus, Katrin; Schubert, Walter (March 2008). "Interlocking transcriptomics, proteomics and toponomics technologies for brain tissue analysis in murine hippocampus". Proteomics. 8 (6): 1170–1178. doi:10.1002/pmic.200700742. PMID18283665. S2CID20000272.
Bonnekoh, B.; Böckelmann, R.; Pommer, A.J.; Malykh, Y.; Philipsen, L.; Gollnick, H. (2007). "The CD11a Binding Site of Efalizumab in Psoriatic Skin Tissue as Analyzed by Multi-Epitope Ligand Cartography Robot Technology". Skin Pharmacology and Physiology. 20 (2): 96–111. doi:10.1159/000097982. PMID17167274. S2CID1381176.
Ebert, Matthias P.A.; Ademmer, Karin; Muller-Ostermeyer, Frauke; Friess, Helmut; Buchler, Markus W.; Schubert, Walter; Malfertheiner, Peter (November 1998). "CD8+CD103+ T cells analogous to intestinal intraepithelial lymphocytes infiltrate the pancreas in chronic pancreatitis". The American Journal of Gastroenterology. 93 (11): 2141–2147. doi:10.1111/j.1572-0241.1998.00610.x. PMID9820387. S2CID19518135.
Haars, Regina; Schneider, Abidat; Bode, Marcus; Schubert, W. (2000). "Secretion and differential localization of the proteolytic cleavage products Abeta40 and Abeta42 of the Alzheimer amyloid precursor protein in human fetal myogenic cells". European Journal of Cell Biology. 79 (6): 400–406. doi:10.1078/0171-9335-00064. PMID10928455.
Herold, Julia; Schubert, Walter; Nattkemper, Tim W. (15 September 2010). "Automated detection and quantification of fluorescently labeled synapses in murine brain tissue sections for high throughput applications". Journal of Biotechnology. 149 (4): 299–309. doi:10.1016/j.jbiotec.2010.03.004. PMID20230863.
Laffers, Wiebke; Mittag, Anja; Lenz, Dominik; Tárnok, Attila; Gerstner, Andreas O. H. (March 2006). "Iterative restaining as a pivotal tool for n-color immunophenotyping by slide-based cytometry". Cytometry Part A. 69A (3): 127–130. doi:10.1002/cyto.a.20216. PMID16479595. S2CID26740218.
Mittag, Anja; Lenz, Dominik; Gerstner, Andreas O. H.; Tárnok, Attila (July 2006). "Hyperchromatic cytometry principles for cytomics using slide based cytometry". Cytometry Part A. 69A (7): 691–703. doi:10.1002/cyto.a.20285. PMID16680709. S2CID11529363.
Nattkemper, T.W.; Ritter, H.J.; Schubert, W. (June 2001). "A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections". IEEE Transactions on Information Technology in Biomedicine. 5 (2): 138–149. doi:10.1109/4233.924804. PMID11420992. S2CID313376.
Nattkemper, Tim W.; Twellmann, Thorsten; Ritter, Helge; Schubert, Walter (January 2003). "Human vs. machine: evaluation of fluorescence micrographs". Computers in Biology and Medicine. 33 (1): 31–43. CiteSeerX10.1.1.324.4664. doi:10.1016/s0010-4825(02)00060-4. PMID12485628.
Oeltze, S.; Freiler, W.; Hillert, Reyk; Doleisch, Helmut; Preim, Bernhard; Schubert, Walter (December 2011). "Interactive, Graph-based Visual Analysis of High-dimensional, Multi-parameter Fluorescence Microscopy Data in Toponomics". IEEE Transactions on Visualization and Computer Graphics. 17 (12): 1882–1891. doi:10.1109/TVCG.2011.217. PMID22034305. S2CID18790281.
Ostalecki, Christian; Konrad, Andreas; Thurau, Elisabeth; Schuler, Gerold; Croner, Roland S.; Pommer, Ansgar J.; Stürzl, Mich ael (August 2013). "Combined multi-gene analysis at the RNA and protein levels in single FFPE tissue sections". Experimental and Molecular Pathology. 95 (1): 1–6. doi:10.1016/j.yexmp.2013.03.008. PMID23583336.
Schubert, Walter (15 September 2010). "On the origin of cell functions encoded in the toponome". Journal of Biotechnology. 149 (4): 252–259. doi:10.1016/j.jbiotec.2010.03.009. PMID20362632.
Schubert, W (2012). "Toponomanalyse" in Lottspeich, Engels. Bioanalytik (3rd ed.). Spektrum Heidelberg. pp. 1139–1151. ISBN978-3-8274-2942-1.
Schubert, Walter; Bode, Marcus; Hillert, Reyk; Krusche, Andreas; Friedenberger, Manuela (April 2008). "Toponomics and neurotoponomics: a new way to medical systems biology". Expert Review of Proteomics. 5 (2): 361–369. doi:10.1586/14789450.5.2.361. PMID18466063. S2CID26013277.
Schubert, Walter; Gieseler, Anne; Krusche, Andreas; Hillert, Reyk (5 June 2009). "Toponome Mapping in Prostate Cancer: Detection of 2000 Cell Surface Protein Clusters in a Single Tissue Section and Cell Type Specific Annotation by Using a Three Symbol Code". Journal of Proteome Research. 8 (6): 2696–2707. doi:10.1021/pr800944f. PMID19275201.
Schubert, Walter; Gieseler, Anne; Krusche, Andreas; Serocka, Peter; Hillert, Reyk (June 2012). "Next-generation biomarkers based on 100-parameter functional super-resolution microscopy TIS". New Biotechnology. 29 (5): 599–610. doi:10.1016/j.nbt.2011.12.004. PMID22209707.
Schubert, W.; de Wit, N.C.J.; Walden, P. (2013). "Systems Biology of Cancer" in Pelengaris, Khan. Molecular biology of cancer: a bridge from bench to bedside (2nd ed.). Wiley-Blackwell New York. pp. 554–584. ISBN978-1-118-02287-0.