Stefan Janssen

ORCID: 0000-0003-0955-0589
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About
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Research Areas
  • Gut microbiota and health
  • Genomics and Phylogenetic Studies
  • Material Dynamics and Properties
  • RNA and protein synthesis mechanisms
  • Nuclear Physics and Applications
  • Metabolomics and Mass Spectrometry Studies
  • Dermatology and Skin Diseases
  • Theoretical and Computational Physics
  • Microbial Community Ecology and Physiology
  • Contact Dermatitis and Allergies
  • Magnetism in coordination complexes
  • Skin Protection and Aging
  • Atomic and Subatomic Physics Research
  • RNA modifications and cancer
  • Protein Structure and Dynamics
  • Magnetic properties of thin films
  • RNA Research and Splicing
  • Rare-earth and actinide compounds
  • High-pressure geophysics and materials
  • X-ray Diffraction in Crystallography
  • Physics of Superconductivity and Magnetism
  • Scientific Computing and Data Management
  • Breast Cancer Treatment Studies
  • Advanced NMR Techniques and Applications
  • Microstructure and mechanical properties

Justus-Liebig-Universität Gießen
2020-2025

University of California, San Diego
2016-2024

University of Lübeck
1997-2024

Universitätsklinik für Strahlentherapie
2024

Heinrich Heine University Düsseldorf
2018-2023

Düsseldorf University Hospital
2021-2023

University Hospital Bonn
2021

German Center for Infection Research
2018-2021

Helmholtz Centre for Infection Research
2017-2019

Medizinische Hochschule Hannover
2009-2017

Jonas Schulte-Schrepping Nico Reusch Daniela Paclik Kevin Baßler Stephan Schlickeiser and 95 more Bowen Zhang Benjamin Krämer Tobias Krammer Sophia Brumhard Lorenzo Bonaguro Elena De Domenico Daniel Wendisch Martin Graßhoff Theodore S. Kapellos Michael Beckstette Tal Pecht Adem Saglam Oliver Dietrich Henrik E. Mei Axel Schulz Claudia Conrad Désirée Kunkel Ehsan Vafadarnejad Cheng‐Jian Xu Arik Horne Miriam Herbert Anna Drews Charlotte Thibeault Moritz Pfeiffer Stefan Hippenstiel Andreas C. Hocke Holger Müller-Redetzky Kathrin Heim Felix Machleidt Alexander Uhrig Laure Bosquillon de Jarcy Linda Jürgens Miriam Stegemann Christoph R. Glösenkamp Hans‐Dieter Volk Christine Goffinet Markus Landthaler Emanuel Wyler Philipp Georg Maria Schneider Chantip Dang‐Heine Nick Neuwinger Kai Kappert R Tauber Victor M. Corman Jan Raabe Kim M Kaiser M To Vinh Gereon Rieke Christian Meisel Thomas Ulas Matthias Becker Robert Geffers Martin Witzenrath Christian Drosten Norbert Suttorp Christof von Kalle Florian Kurth Kristian Händler Joachim L. Schultze Anna C. Aschenbrenner Yang Li Jacob Nattermann Birgit Sawitzki Antoine‐Emmanuel Saliba Leif Erik Sander Angel Angelov Robert Bals Alexander Bartholomäus Anke Becker Daniela Bezdan Ezio Bonifacio Peer Bork Thomas Clavel Maria Colomé‐Tatché Andreas Diefenbach Alexander Dilthey Nicole Fischer Konrad U. Förstner Julia-Stefanie Frick Julien Gagneur Alexander Goesmann Torsten Hain Michael Hummel Stefan Janssen Jörn Kalinowski René Kallies Birte Kehr Andreas Keller Sarah Kim-Hellmuth Christoph Klein Oliver Kohlbacher Jan O. Korbel Ingo Kurth Markus Landthaler

10.1016/j.cell.2020.08.001 article EN publisher-specific-oa Cell 2020-08-05

The Critical Assessment of Metagenome Interpretation (CAMI) community initiative presents results from its first challenge, a rigorous benchmarking software for metagenome assembly, binning and taxonomic profiling. Methods profiling are key to interpreting data, but lack consensus about complicates performance assessment. challenge has engaged the global developer benchmark their programs on highly complex realistic data sets, generated ∼700 newly sequenced microorganisms ∼600 novel viruses...

10.1038/nmeth.4458 article EN cc-by Nature Methods 2017-10-02
Daniel McDonald Embriette R. Hyde Justine W. Debelius James T. Morton Antonio González-Torres and 95 more Gail Ackermann Alexander A. Aksenov Bahar Behsaz Caitriona Brennan Yingfeng Chen Lindsay DeRight Goldasich Pieter C. Dorrestein Robert R. Dunn Ashkaan K. Fahimipour James Gaffney Jack A. Gilbert Grant Gogul Jessica L. Green Philip Hugenholtz Greg Humphrey Curtis Huttenhower Matthew Jackson Stefan Janssen Dilip V. Jeste Lingjing Jiang Scott T. Kelley Dan Knights Tomasz Kościółek Joshua Ladau Jeff D. Leach Clarisse Marotz Dmitry Meleshko Alexey V. Melnik Jessica L. Metcalf Hosein Mohimani Emmanuel Montassier José A. Navas-Molina Tanya T. Nguyen Shyamal D. Peddada Pavel A. Pevzner Katherine S. Pollard Ali Rahnavard Adam Robbins‐Pianka Naseer Sangwan Joshua Shorenstein Larry Smarr Se Jin Song Timothy Spector Austin D. Swafford Varykina G. Thackray Luke Thompson Anupriya Tripathi Yoshiki Vázquez‐Baeza Alison Vrbanac Paul E. Wischmeyer Elaine Wolfe Qiyun Zhu Rob Knight Allison E. Mann Amnon Amir Angel Frazier Cameron Martino Carlito B. Lebrilla Catherine Lozupone Cecil M. Lewis Charles L. Raison Chi Zhang Christian L. Lauber Christina Warinner Christopher A. Lowry Chris Callewaert Cinnamon S. Bloss Dana Willner Daniela Domingos Galzerani David J. Gonzalez David A. Mills Deepak Chopra Dirk Gevers Donna Berg-Lyons Dorothy D. Sears Doug Wendel Elijah Lovelace Emily C. Pierce Emily TerAvest Evan Bolyen Frederic D. Bushman Gary D. Wu George M. Church Gordon Saxe Hanna D. Holscher Ivo Ugrina J German J. Gregory Caporaso Jacob M. Wozniak Jacqueline Kerr Jacques Ravel James D. Lewis Jan S. Suchodolski Janet Jansson Jarrad Hampton‐Marcell

Although much work has linked the human microbiome to specific phenotypes and lifestyle variables, data from different projects have been challenging integrate extent of microbial molecular diversity in stool remains unknown. Using standardized protocols Earth Microbiome Project sample contributions over 10,000 citizen-scientists, together with an open research network, we compare specimens primarily United States, Kingdom, Australia one another environmental samples. Our results show...

10.1128/msystems.00031-18 article EN cc-by mSystems 2018-05-14
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295v1 article EN 2018-10-24
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295v2 preprint EN 2018-12-03

The move from OTU-based to sOTU-based analysis, while providing additional resolution, also introduces computational challenges. We demonstrate that one popular method of dealing with sOTUs (building a de novo tree the short sequences) can provide incorrect results in human gut metagenomic studies and show phylogenetic placement new sequences SEPP resolves this problem yielding other benefits over existing methods.

10.1128/msystems.00021-18 article EN cc-by mSystems 2018-04-25

Amyloids are a class of protein with unique self-aggregation properties, and their aberrant accumulation can lead to cellular dysfunctions associated neurodegenerative diseases. While genetic environmental factors influence amyloid formation, molecular triggers and/or facilitators not well defined. Growing evidence suggests that non-identical proteins may accelerate reciprocal aggregation in prion-like fashion. humans encode ~30 amyloidogenic proteins, the gut microbiome also produces...

10.7554/elife.53111 article EN cc-by eLife 2020-02-11

Rapid growth of genome data provides opportunities for updating microbial evolutionary relationships, but this is challenged by the discordant evolution individual genes. Here we build a reference phylogeny 10,575 evenly-sampled bacterial and archaeal genomes, based on comprehensive set 381 markers, using multiple strategies. Our trees indicate remarkably closer proximity between Archaea Bacteria than previous estimates that were limited to fewer "core" genes, such as ribosomal proteins. The...

10.1038/s41467-019-13443-4 article EN cc-by Nature Communications 2019-12-02
Benjamin Krämer Rainer Knoll Lorenzo Bonaguro Michael ToVinh Jan Raabe and 95 more Rosario Astaburuaga-García Jonas Schulte-Schrepping Kim M Kaiser Gereon Rieke Jenny Bischoff Malte B. Monin Christoph Hoffmeister Stefan Schlabe Elena De Domenico Nico Reusch Kristian Händler Gary Reynolds Nils Blüthgen Gudrun Hack Claudia Finnemann Hans Dieter Nischalke Christian P. Strassburg Emily Stephenson Yapeng Su Louis Gardner Dan Yuan Daniel Chen Jason D. Goldman Philip Rosenstiel Susanne V. Schmidt Eicke Latz Kevin Hrusovsky Andrew J. Ball Joseph M. Johnson Paul-Albert Koenig Florian I. Schmidt Muzlifah Haniffa James R. Heath Beate M. Kümmerer Verena Keitel Björn‐Erik Ole Jensen Paula Stubbemann Florian Kurth Leif Erik Sander Birgit Sawitzki Anna C. Aschenbrenner Joachim L. Schultze Jacob Nattermann Janine Altmüller Angel Angelov Anna C. Aschenbrenner Robert Bals Alexander Bartholomäus Anke Becker Matthias Becker Daniela Bezdan Michael Bitzer Conny Blumert Ezio Bonifacio Peer Bork Boyke Bunk Helmut Blum Nicolas Casadei Thomas Clavel Maria Colomé‐Tatché Markus Cornberg Inti Alberto De La Rosa Velázquez Andreas Diefenbach Alexander Dilthey Nicole Fischer Konrad U. Förstner Sören Franzenburg Julia-Stefanie Frick Gisela Gabernet Julien Gagneur Tina Ganzenmueller Marie Gauder Janina Geißert Alexander Goesmann Siri Göpel Adam Grundhoff Hajo Grundmann Torsten Hain Frank Hanses Ute Hehr André Heimbach Marius M. Hoeper Friedemann Horn Daniel Hübschmann Michael Hummel Thomas Iftner Angelika Iftner Thomas Illig Stefan Janssen Jörn Kalinowski René Kallies Birte Kehr Andreas Keller Oliver T. Keppler Sarah Kim-Hellmuth

10.1016/j.immuni.2021.09.002 article EN publisher-specific-oa Immunity 2021-09-04
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295 preprint EN 2018-10-24

Use of skin personal care products on a regular basis is nearly ubiquitous, but their effects molecular and microbial diversity the are unknown. We evaluated impact four beauty (a facial lotion, moisturizer, foot powder, deodorant) 11 volunteers over 9 weeks.Mass spectrometry 16S rRNA inventories revealed decreases in chemical as well bacterial archaeal halting deodorant use. Specific compounds from used before study remain detectable with half-lives 0.5-1.9 weeks. The powder increased...

10.1186/s12915-019-0660-6 article EN cc-by BMC Biology 2019-06-12

Abstract For the past half-century, structural biologists relied on notion that similar protein sequences give rise to structures and functions. While this assumption has driven research explore certain parts of universe, it disregards spaces don’t rely assumption. Here we areas universe where functions can be achieved by different structures. We predict ~200,000 for diverse from 1,003 representative genomes across microbial tree life annotate them functionally a per-residue basis. Structure...

10.1038/s41467-023-37896-w article EN cc-by Nature Communications 2023-04-26

Abstract In 2020, we identified cancer-specific microbial signals in The Cancer Genome Atlas (TCGA) [1]. Multiple peer-reviewed papers independently verified or extended our findings [2–12]. Given this impact, carefully considered concerns by Gihawi et al. [13] that batch correction and database contamination with host sequences artificially created the appearance of cancer type-specific microbiomes. (1) We tested comparing raw Voom-SNM-corrected data per-batch, finding predictive...

10.1038/s41388-024-02974-w article EN cc-by Oncogene 2024-02-23

Standard anti-proliferative chemotherapy is relatively ineffective against slowly proliferating androgen-independent prostate cancer cells within metastatic sites. In contrast, the lipophilic cytotoxin thapsigargin, which causes apoptosis by disrupting intracellular free Ca2+ levels, effective both proliferative and quiescent (i.e., G0-arrested) cells. However, thapsigargin's mechanism of action indicates that it unlikely to be selective for or cells.We coupled a chemically modified form...

10.1093/jnci/95.13.990 article EN JNCI Journal of the National Cancer Institute 2003-07-01

Early disruption of the microbial community may influence life-long health. Environmental toxicants can contaminate breast milk and developing infant gut microbiome is directly exposed. We investigated whether environmental in breastmilk affect composition function at 1 month. measured breastmilk, fecal short-chain fatty acids (SCFAs), from 16S rRNA gene amplicon sequencing using samples 267 mother-child pairs Norwegian Microbiota Cohort (NoMIC). tested 28 chemical exposures: polychlorinated...

10.1186/s40168-019-0645-2 article EN cc-by Microbiome 2019-02-27

Abstract Motivation : shape analysis, first proposed in 2004, allows one to extract several relevant structures from the folding space of an RNA sequence, preferable focusing a single structure minimal free energy. We report recent extensions this approach. Results have rebuilt original shapes as repository components that us integrate established tools for analysis: , alishapes and pknots RG, including its extension p K iss . As spin-off, we obtain heretofore unavailable functionality: e....

10.1093/bioinformatics/btu649 article EN cc-by Bioinformatics 2014-10-01

Various indoor, outdoor, and host-associated environments contain small quantities of microbial biomass represent a niche that is often understudied because technical constraints. Many studies attempt to evaluate these low-biomass microbiome samples are riddled with erroneous results typically false positive signals obtained during the sampling process. We have investigated various kits methods determine limit detection pipelines. Here we present KatharoSeq, high-throughput protocol...

10.1128/msystems.00218-17 article EN cc-by mSystems 2018-03-13

Abstract The vitamin D receptor is highly expressed in the gastrointestinal tract where it transacts gene expression. With current limited understanding of interactions between gut microbiome and D, we conduct a cross-sectional analysis 567 older men quantifying serum metabolites using LC-MSMS defining stool sub-Operational Taxonomic Units from16S ribosomal RNA sequencing data. Faith’s Phylogenetic Diversity non-redundant covariate analyses reveal that 1,25(OH) 2 level explains 5% variance...

10.1038/s41467-020-19793-8 article EN cc-by Nature Communications 2020-11-26
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