Stephan Alexander Mueller

Dr. Stephan Alexander Mueller

German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen Strasse 17, 81377 Munich, Germany

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
7 January 2019 in Nature Neuroscience
Verified
Journal Article
Closed access
PDF file
SPSamira Parhizkar
Samira Parhizkar
TAThomas Arzberger
Thomas Arzberger
MBMatthias Brendel
Matthias Brendel
GKGernot Kleinberger
Gernot Kleinberger
MDMaximilian Deussing
Maximilian Deussing
CHChristian Haass
Christian Haass

9 September 2019 in Nature Neuroscience
Verified
Journal Article
Closed access
PDF file
CFCaroline Fecher
Caroline Fecher
LTLaura Trovò
Laura Trovò
SMStephan Alexander Mueller
Stephan Alexander Mueller
NSNicolas Snaidero
Nicolas Snaidero
JWJennifer Wettmarshausen
Jennifer Wettmarshausen
TMThomas Misgeld
Thomas Misgeld

28 February 2011 in RNA
Verified
Journal Article
Closed access
SWStefan Washietl
Stefan Washietl
SFSven Findeiß
Sven Findeiß
SMStephan Alexander Mueller
Stephan Alexander Mueller
Stefan KalkhofStefan Kalkhof
Stefan Kalkhof
MBMartin von Bergen
Martin von Bergen
NGNick Goldman
Nick Goldman
With the availability of genome-wide transcription data and massive comparative sequencing, the discrimination of coding from noncoding RNAs and the assessment of coding potential in evolutionarily conserved regions arose as a core analysis task. Here we present RNAcode, a program to detect coding regions in multiple sequence alignments that is optimized for emerging applications not covered by current protein gene-finding software. Our algorithm combines information from nucleotide substitution and gap patterns in a unified framework and also deals with real-life issues such as alignment and sequencing errors. It uses an explicit statistical model with no machine learning component and can therefore be applied “out of the box,” without any training, to data from all domains of life. We describe the RNAcode method and apply it in combination with mass spectrometry experiments to predict and confirm seven novel short peptides in Escherichia coli and to analyze the coding potential of RNAs previously annotated as “noncoding.” RNAcode is open source software and available for all major platforms at http://wash.github.com/rnacode.

20 February 2020 in Journal of Experimental Medicine
Verified
Journal Article
Open access
PDF file
MCMaria Inês Cunha
Maria Inês Cunha
MSMinhui Su
Minhui Su
LCLudovico Cantuti-Castelvetri
Ludovico Cantuti-Castelvetri
SMStephan Alexander Mueller
Stephan Alexander Mueller
MSMartina Schifferer
Martina Schifferer
MSMikael Simons
Mikael Simons
Remyelination requires innate immune system function, but how exactly microglia and macrophages clear myelin debris after injury and tailor a specific regenerative response is unclear. Here, we asked whether pro-inflammatory microglial/macrophage activation is required for this process. We established a novel toxin-based spinal cord model of de- and remyelination in zebrafish and showed that pro-inflammatory NF-κB–dependent activation in phagocytes occurs rapidly after myelin injury. We found that the pro-inflammatory response depends on myeloid differentiation primary response 88 (MyD88). MyD88-deficient mice and zebrafish were not only impaired in the degradation of myelin debris, but also in initiating the generation of new oligodendrocytes for myelin repair. We identified reduced generation of TNF-α in lesions of MyD88-deficient animals, a pro-inflammatory molecule that was able to induce the generation of new premyelinating oligodendrocytes. Our study shows that pro-inflammatory phagocytic signaling is required for myelin debris degradation, for inflammation resolution, and for initiating the generation of new oligodendrocytes.

8 June 2020 in eLife
Verified
Journal Article
Open access
LMLaura Sebastian Monasor
Laura Sebastian Monasor
SMStephan Alexander Mueller
Stephan Alexander Mueller
ACAlessio Vittorio Colombo
Alessio Vittorio Colombo
GTGaye Tanrioever
Gaye Tanrioever
JKJasmin König
Jasmin König
STSabina Tahirovic
Sabina Tahirovic
Microglial dysfunction is a key pathological feature of Alzheimer's disease (AD), but little is known about proteome-wide changes in microglia during the course of AD and their functional consequences. Here, we performed an in-depth and time-resolved proteomic characterization of microglia in two mouse models of amyloid β (Aβ) pathology, the overexpression APPPS1 and the knock-in APP-NL-G-F (APP-KI) model. We identified a large panel of Microglial Aβ Response Proteins (MARPs) that reflect heterogeneity of microglial alterations during early, middle and advanced stages of Aβ deposition and occur earlier in the APPPS1 mice. Strikingly, the kinetic differences in proteomic profiles correlated with the presence of fibrillar Aβ, rather than dystrophic neurites, suggesting that fibrillar Aβ may trigger the AD-associated microglial phenotype and the observed functional decline. The identified microglial proteomic fingerprints of AD provide a valuable resource for functional studies of novel molecular targets and potential biomarkers for monitoring AD progression or therapeutic efficacy.

22 December 2022 in Cell
Verified
Journal Article
Closed access
HBHarsharan S. Bhatia
Harsharan S. Bhatia
ABAndreas-David Brunner
Andreas-David Brunner
FÖFurkan Öztürk
Furkan Öztürk
SKSaketh Kapoor
Saketh Kapoor
ZRZhouyi Rong
Zhouyi Rong
AEAli Ertürk
Ali Ertürk