Prof. Dr. Michael Altenbuchinger
Telephone: 0551/39-61788
E-Mail: michael.altenbuchinger@bioinf.med.uni-goettingen.de
Location: Goldschmidtstr. 1, 2. OG, Room: 2.116
Curriculum Vitae
| 06/2021 – Now W2 professor (tenure track), University Medical Center Goettingen, Institute of Medical Bioinformatics, Göttingen, Germany |
| 02/2020 – 05/2021 Junior Research Group Leader, University of Hohenheim, Stuttgart |
| 02/2019 – 01/2020 Postdoctoral Fellow (with Prof. J. Quackenbush), Harvard T.H. Chan School of Public Health, Department of Biostatistics, Boston, MA, USA |
| 10/2014 – 01/2019 Postdoctoral Fellow (with Prof. R. Spang), University of Regensburg, Statistical Bioinformatics, Regensburg, Germany |
| 04/2014 – 08/2014 Postdoctoral Fellow (with Prof. W. Weise), Technical University of Munich, Munich, Germany |
| 02/2010 – 01/2014 Doctoral researcher (with W. Weise), Technical University of Munich, Munich, Germany |
| 02/2010 – 01/2014 Dr. rer. nat. (Physics), Thesis: Chiral Dynamics of HeavyLight Mesons, Adviser: Prof. Wolfram Weise,Technical University of Munich, Munich, Germany |
| 10/2004 – 11/2009 Dipl. Phys. (Univ.), Technical University of Munich, Munich, Germany |
| 10/2003 – 07/2004 Vordiplom (FH) (Engineering Physics), Munich University of Applied Sciences, Munich, Germany |
Grants
started in 05/2020 Project title: ”Digital Tissue Deconvolution Aus Einzelzelldaten lernen”, DFG Sachmittelbeihilfe
started in 05/2020 Project title: ”CKDNapp: A toolbox for monitoring and tailoring treatment of chronic kidney disease patients a personalized systems medicine approach”, Subproject ”Algorithms for the clinical decision support software CKDNapp” in the Junior consortium ”CKDNapp”, BMBF Juniorverbünde in der Systemmedizin
Awards
Best poster award, FOR 2127: Selection and adaptation during metastatic cancer progression, Regensburg, 2016
Publications
Original papers
R. D. Jachimowicz, W. Klapper, G. Glehr, H. Müller, H. Haverkamp, C. Thorns, ... & M. Altenbuchinger:
A. Rosenwald∗ . Gene expressionbased outcome prediction in advanced stage classical Hodgkin lymphoma treated with BEACOPP.
Leukemia, 15, 2021.
W. X. Schulze, M. Altenbuchinger, M. He, M. Kränzlein & C. Zörb:
Proteome profiling of repeated drought stress reveals genotypespecific responses and memory effects in maize.
Plant Physiology and Biochemistry, 159, 6779. 2021.
C. Nordmo, G. Glehr, M. Altenbuchinger, R. Spang, M. Ziepert, H. Horn, ... & H. RauertWunderlich:
Identification of a miRNA based model to detect prognostic subgroups in patients with aggressive Bcell lymphoma.
Leukemia & Lymphoma, 115, 2020.
J. Reinders, M. Altenbuchinger, K. Limm, P. Schwarzfischer, T. Scheidt, ... & P. J. Oefner:
Platform independent proteinbased celloforigin subtyping of diffuse large Bcell lymphoma in formalinfixed paraffinembedded tissue.
Scientific Reports, 10(1), 111, 2020.
M. Schön, J. Simeth, P. Heinrich, F. Görtler, S. Solbrig, T. Wettig, P. J. Oefner, M. Altenbuchinger, R. Spang:
DTD: An R Package for Digital Tissue Deconvolution.
Journal of Computational Biology, 27(3), 14, 2020.
F. Görtler, M. Schön, J. Simeth, S. Solbrig, T. Wettig, P. J. Oefner, R. Spang, M. Altenbuchinger:
LossFunction Learning for Digital Tissue Deconvolution.
Journal of Computational Biology, 27(3), 114, 2020.
M. Altenbuchinger† , H. U. Zacharias† , S. Solbrig, A. Schäfer, M. Büyüközkan, U. Schultheiß, F. Kotsis, A. Köttgen, R. Spang, P. J. Oefner, J. Krumsiek, W. Gronwald:
A multisource data integration approach reveals novel associations between metabolites and renal outcomes in the German chronic Kidney Disease study.
Scientific Reports, 9, 13954, 2019.
A. Staiger† , M. Altenbuchinger† , M. Ziepert† , C. Kohler, H. Horn, M. Huttner, K. Huettl, G. Glehr, W. Klapper, J. Richter, M. Szczepanowski, H. Stein, A. Feller, P. Möller, M.L. Hansmann, V. Pöschel, G. Held, M. Loeffler, L. Trümper, T. Pukrop, A. Rosenwald, G. Ott, and R. Spang:
A Novel LymphomaAssociated Macrophage Interaction Signature (LAMIS) Provides Robust Risk Prognostication in Diffuse Large B Cell Lymphoma Clinical Trial Cohorts of the DSHNHL.
Leukemia, 110, 2019.
M. Wagner, R. Hänsel, S. Reinke, J. Richter, M. Altenbuchinger, U. Braumann, R. Spang, Markus Löffler, and W. Klapper:
Automated macrophage counting in DLBCL tissue samples: a rof filter based approach.
MC: Biol Proced Online, 21(1), 13, 2019.
H. U. Zacharias, M. Altenbuchinger, U. T. Schultheiss, C. Samol, F. Kotsis, I. Poguntke, P. Sekula, J. Krumsiek, A. Köttgen, R. Spang, P. J. Oefner, W. Gronwald.
A novel metabolic signature to predict the requirement of dialysis or renal transplantation in patients with chronic kidney disease.
Journal of Proteome Research, 2019, DOI: 10.1021/acs.jproteome.8b00983.
F. Görtler, S. Solbrig, T. Wettig, P. J. Oefner, R. Spang, and M. Altenbuchinger:
Lossfunction learning for digital tissue deconvolution.
In Proc. RECOMB 2018, 7589, doi.org/10.1007/ 9783319899299_5, 2018. (Acceptance rate: 20%)
S. Reinke, J. Richter, F. Fend, A. Feller, M. Hansmann, K. Hüttl, I. Oschlies, G. Ott, P. Möller, A, Rosenwald, H. Stein, M. Altenbuchinger, R. Spang, W. Klapper:
Roundrobin test for the celloforigin classification of diffuse large Bcell lymphoma a feasibility study using full slide staining.
Virchows Archiv, 19, 2018.
M. Altenbuchinger, P. Schwarzfischer, T. Rehberg, J. Reinders, C. W. Kohler, W. Gronwald, J. Richter, M. Szczepanowski, N. MasquéSoler, W. Klapper, P. J. Oefner, and R. Spang:
Molecular signatures that can be transferred across different omics platforms.
Bioinformatics (Special issue: ISMB 2017 proceedings), 33(14): i333 – i340, 2017. (Acceptance rate: 16%)
L. Cascione, A. Rinaldi, A. Chiappella, I. Kwee, G. Ciccone, M. Altenbuchinger, C. W. Kohler, U. Vitolo, G. Inghirami, and F. Bertoni:
Diffuse large B cell lymphoma cell of origin by digital expression profiling in the REAL07 Phase 12 study.
British Journal of Haematology, doi: 10.1111/bjh.14817, 2017.
H. U. Zacharias, T. Rehberg, S. Mehrl, D. Richtmann, T. Wettig, P. J. Oefner, R. Spang, W. Gronwald, and M. Altenbuchinger :
Scaleinvariant biomarker discovery in urine and plasma metabolite fingerprints.
J Proteome Res., doi: 10.1021/acs.jproteome.7b00325., 2017.
M. Szczepanowski, J. Lange, C. W. Kohler, N. MasquéSoler, M. Zimmermann, S. M. Aukema, M. Altenbuchinger, T. Rehberg, F. Mahn, R. Siebert, R. Spang, B. Burkhardt, and W. Klapper.
Celloforigin classification by gene expression and MYCrearrangements in diffuse large Bcell lymphoma of children and adolescents.
British Journal of Haematology, doi: 10.1111/bjh.14812, 2017.
M. Altenbuchinger† , T. Rehberg† , H. U. Zacharias, F. Stämmler, K. Dettmer, D. Weber, A. Hiergeist, A. Gessner, E. Holler, P. J. Oefner, and R. Spang.
Reference point insensitive molecular data analysis.
Bioinformatics, 33(2):219226, 2017.
M. Altenbuchinger and L. S. Geng:
Offshell effects on the interaction of NambuGoldstone bosons and D mesons.
Phys. Rev., D89(5):054008, 2014.
M. Altenbuchinger, L. S. Geng, and W. Weise:
Scattering lengths of Nambu Goldstone bosons off D mesons and dynamically generated heavylight mesons.
Phys. Rev., D89(1):014026, 2014.
M. Altenbuchinger, L. S. Geng, and W. Weise:
SU(3) breaking corrections to the D, D, B, and B decay constants.
Phys. Lett., B713:453456, 2012.
M. Altenbuchinger, Ph. Hägler, W. Weise, and E. M. Henley.:
Spin structure of the nucleon: QCD evolution, lattice results and models.
Eur. Phys. J., A47:140, 2011.
L. S. Geng, M. Altenbuchinger, and W. Weise:
Light quark mass dependence of the D and Ds decay constants.
Phys. Lett., B696:390395, 2011.
Reviews
M. Altenbuchinger, A. Weihs, J. Quackenbush, H. J. Grabe, H. U. Zacharias:
Gaussian and Mixed Graphical Models as (multi)omics data analysis tools.
BBA Gene Regulatory Mechanisms 1863, 194418, 2020.
H. U. Zacharias, M. Altenbuchinger, and W. Gronwald. Statistical Analysis of NMR Metabolic Fingerprints:
Established Methods and Recent Advances.
Metabolites, www.mdpi.com 22181989/8/3/47/pdf, 2018.
Other publications
A. M. Staiger, M. Altenbuchinger , M. Ziepert , et al.:
A New Stromal Signature Applicable to FormalinFixed ParaffinEmbedded Tissues Identifies Patients at Risk in Prospective Clinical Trials of the German HighGrade NonHodgkin Lymphoma Study Group.
Blood, 132 (Suppl 1) 343; DOI: 10.1182/blood201899112450
H. Cho, B. Berger, J. Peng, C. Galitzine, O. Vitek, P. M. Jean, B. Ileana, M. Cristea, F. Görtler, S. Solbrig, T. Wettig, P. J.Oefner, R. Spang, M. Altenbuchinger, R. Sarto, and others:
Principles of Systems Biology, No. 31. Cell Systems, 7(2), 133135, 2018.
Professional Affiliations & Activities
09/2018 – Present GMDS / IBSDR working group ”Statistical Methods in Bioinformatics”, Leader of the working group
Workshop Organization
03/2019 ”Workshop on Computational Models in Biology and Medicine 2019” (BRICS, Braunschweig)
02/2020 ”Workshop on Computational Models in Biology and Medicine 2020” (University of Bonn, Bonn)