R
Rainer Spang
Researcher at University of Regensburg
Publications - 171
Citations - 11726
Rainer Spang is an academic researcher from University of Regensburg. The author has contributed to research in topics: Gene expression profiling & Diffuse large B-cell lymphoma. The author has an hindex of 48, co-authored 166 publications receiving 10400 citations. Previous affiliations of Rainer Spang include Max Planck Society & Duke University.
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Journal ArticleDOI
Metagenomic Analysis of the Stool Microbiome in Patients Receiving Allogeneic Stem Cell Transplantation: Loss of Diversity Is Associated with Use of Systemic Antibiotics and More Pronounced in Gastrointestinal Graft-versus-Host Disease
Ernst Holler,Peter Butzhammer,Karin Schmid,Christian Hundsrucker,Josef Koestler,Katrin Peter,Wentao Zhu,Daniela Sporrer,Thomas Hehlgans,Marina Kreutz,Barbara Holler,Daniel Wolff,Matthias Edinger,Reinhard Andreesen,John E. Levine,James L.M. Ferrara,André Gessner,Rainer Spang,Peter J. Oefner +18 more
TL;DR: Major microbiome shifts in the course of allogeneic SCT that occur in the period of antibiotic treatment but are more prominent in association with GI GVHD are revealed.
Journal ArticleDOI
Recurrent mutation of the ID3 gene in Burkitt lymphoma identified by integrated genome, exome and transcriptome sequencing
Julia Richter,Matthias Schlesner,Steve Hoffmann,Markus Kreuz,Ellen Leich,Birgit Burkhardt,Maciej Rosolowski,Ole Ammerpohl,Rabea Wagener,Stephan H. Bernhart,Dido Lenze,Monika Szczepanowski,Maren Paulsen,Simone Lipinski,Robert B. Russell,Sabine Adam-Klages,Gordana Apic,Alexander Claviez,Dirk Hasenclever,Volker Hovestadt,Nadine Hornig,Jan O. Korbel,Dieter Kube,David Langenberger,Chris Lawerenz,Jasmin Lisfeld,Katharina Meyer,Simone Picelli,Jordan Pischimarov,Bernhard Radlwimmer,Tobias Rausch,Marius Rohde,Markus Schilhabel,René Scholtysik,Rainer Spang,Heiko Trautmann,Thorsten Zenz,Thorsten Zenz,Thorsten Zenz,Arndt Borkhardt,Hans G. Drexler,Peter Möller,Roderick A.F. MacLeod,Christiane Pott,Stefan Schreiber,Lorenz Trümper,Markus Loeffler,Peter F. Stadler,Peter Lichter,Roland Eils,Ralf Küppers,Michael Hummel,Wolfram Klapper,Philip Rosenstiel,Andreas Rosenwald,Benedikt Brors,Reiner Siebert +56 more
TL;DR: Findings suggest that cooperation between ID3 inactivation and IG-MYC translocation is a hallmark of Burkitt lymphomagenesis.
Journal ArticleDOI
T cells become licensed in the lung to enter the central nervous system
Francesca Odoardi,Christopher Sie,Kristina Streyl,Vijay Kumar Ulaganathan,Christian Schläger,Dmitri Lodygin,Klaus Heckelsmiller,Wilfried Nietfeld,Joachim W. Ellwart,Wolfgang E. F. Klinkert,Claudio Lottaz,Mikhail Nosov,Volker Brinkmann,Rainer Spang,Hans Lehrach,Martin Vingron,Hartmut Wekerle,Cassandra Flügel-Koch,Alexander Flügel +18 more
TL;DR: It is detected that the lung constitutes a niche not only for activated T cells but also for resting myelin-reactive memory T cells, which could contribute to the activation of potentially autoaggressive T cells and their transition to a migratory mode as a prerequisite to entering their target tissues and inducing autoimmune disease.
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Transcriptional Profiles of CD133+ and CD133− Glioblastoma-Derived Cancer Stem Cell Lines Suggest Different Cells of Origin
Claudio Lottaz,Dagmar Beier,Katharina Meyer,Praveen Kumar,Andreas Hermann,Johannes Schwarz,Markus Junker,Peter J. Oefner,Ulrich Bogdahn,Jörg Wischhusen,Rainer Spang,Alexander Storch,Christoph P. Beier,Christoph P. Beier +13 more
TL;DR: Comparing CSC lines with their putative cells of origin, the data suggest that the heterogeneous tumor entity GBM may derive from cells that have preserved or acquired properties of either fNSC or aNSC but lost the corresponding differentiation potential.
Journal ArticleDOI
From hype to reality: data science enabling personalized medicine
Holger Fröhlich,Rudi Balling,Niko Beerenwinkel,Oliver Kohlbacher,Santosh Kumar,Thomas Lengauer,Marloes H. Maathuis,Yves Moreau,Susan A. Murphy,Teresa M. Przytycka,Michael Rebhan,Hannes L. Röst,Andreas Schuppert,Matthias Schwab,Matthias Schwab,Rainer Spang,Daniel J. Stekhoven,Jimeng Sun,Andreas Weber,Daniel Ziemek,Blaz Zupan +20 more
TL;DR: The potential of state-of-the-art data science approaches for personalized medicine is reviewed, open challenges are discussed, and directions that may help to overcome them in the future are highlighted.