Fabian Amman

Mr. Fabian Amman

orcid

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

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20 January 2016 in Nature
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Journal Article
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AWAlexander J. Westermann
Alexander J. Westermann
KFKonrad U. Förstner
Konrad U. Förstner
FAFabian Amman
Fabian Amman
LBLars Barquist
Lars Barquist
Yanjie ChaoYanjie Chao
Yanjie Chao
JVJörg Vogel
Jörg Vogel

20 November 2018 in Nucleic Acids Research
Verified
Journal Article
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PDF file
KLKonstantin Licht
Konstantin Licht
MHMarkus Hartl
Markus Hartl
FAFabian Amman
Fabian Amman
DADorothea Anrather
Dorothea Anrather
MJMichael P Janisiw
Michael P Janisiw
MJMichael Jantsch
Michael Jantsch
RNA modifications are present in all classes of RNAs. They control the fate of mRNAs by affecting their processing, translation, or stability. Inosine is a particularly widespread modification in metazoan mRNA arising from deamination of adenosine catalyzed by the RNA-targeting adenosine deaminases ADAR1 or ADAR2. Inosine is commonly thought to be interpreted as guanosine by cellular machines and during translation. Here, we systematically test ribosomal decoding using mass spectrometry. We show that while inosine is primarily interpreted as guanosine it can also be decoded as adenosine, and rarely even as uracil. Decoding of inosine as adenosine and uracil is context-dependent. In addition, mass spectrometry analysis indicates that inosine causes ribosome stalling especially when multiple inosines are present in the codon. Indeed, ribosome profiling data from human tissues confirm inosine-dependent ribosome stalling in vivo. To our knowledge this is the first study where decoding of inosine is tested in a comprehensive and unbiased way. Thus, our study shows novel, unanticipated functions for inosines in mRNAs, further expanding coding potential and affecting translational efficiency.

19 August 2019 in Genome Research
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Journal Article
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KLKonstantin Licht
Konstantin Licht
UKUtkarsh Kapoor
Utkarsh Kapoor
FAFabian Amman
Fabian Amman
Ernesto PicardiErnesto Picardi
Ernesto Picardi
DMDavid Martin
David Martin
MJMichael Jantsch
Michael Jantsch
Pre-mRNA-splicing and adenosine to inosine (A-to-I) RNA-editing occur mostly cotranscriptionally. During A-to-I editing, a genomically encoded adenosine is deaminated to inosine by adenosine deaminases acting on RNA (ADARs). Editing-competent stems are frequently formed between exons and introns. Consistently, studies using reporter assays have shown that splicing efficiency can affect editing levels. Here, we use Nascent-seq and identify ∼90,000 novel A-to-I editing events in the mouse brain transcriptome. Most novel sites are located in intronic regions. Unlike previously assumed, we show that both ADAR (ADAR1) and ADARB1 (ADAR2) can edit repeat elements and regular transcripts to the same extent. We find that inhibition of splicing primarily increases editing levels at hundreds of sites, suggesting that reduced splicing efficiency extends the exposure of intronic and exonic sequences to ADAR enzymes. Lack of splicing factors NOVA1 or NOVA2 changes global editing levels, demonstrating that alternative splicing factors can modulate RNA editing. Finally, we show that intron retention rates correlate with editing levels across different brain tissues. We therefore demonstrate that splicing efficiency is a major factor controlling tissue-specific differences in editing levels.

1 November 2019 in Molecular Cell
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Journal Article
Closed access
ISIris Steinparzer
Iris Steinparzer
VSVitaly Sedlyarov
Vitaly Sedlyarov
JRJonathan D. Rubin
Jonathan D. Rubin
KEKevin Eislmayr
Kevin Eislmayr
MGMatthew D. Galbraith
Matthew D. Galbraith
PKPavel Kovarik
Pavel Kovarik

16 June 2014 in PLOS ONE
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Journal Article
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HHHermann Hämmerle
Hermann Hämmerle
FAFabian Amman
Fabian Amman
BVBranislav Vecerek
Branislav Vecerek
JSJörg Stülke
Jörg Stülke
IHIvo Hofacker
Ivo Hofacker
UBUdo Bläsi
Udo Bläsi
The RNA chaperone Hfq acts as a central player in post-transcriptional gene regulation in several Gram-negative Bacteria, whereas comparatively little is known about its role in Gram-positive Bacteria. Here, we studied the function of Hfq in Bacillus subtilis, and show that it confers a survival advantage. A comparative transcriptome analysis revealed mRNAs with a differential abundance that are governed by the ResD-ResE system required for aerobic and anaerobic respiration. Expression of resD was found to be up-regulated in the hfq− strain. Furthermore, several genes of the GerE and ComK regulons were de-regulated in the hfq− background. Surprisingly, only six out of >100 known and predicted small RNAs (sRNAs) showed altered abundance in the absence of Hfq. Moreover, Hfq positively affected the transcript abundance of genes encoding type I toxin-antitoxin systems. Taken the moderate effect on sRNA levels and mRNAs together, it seems rather unlikely that Hfq plays a central role in RNA transactions in Bacillus subtilis.

19 June 2020 in Nucleic Acids Research
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Journal Article
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EVElisa Vilardo
Elisa Vilardo
FAFabian Amman
Fabian Amman
UTUrsula Toth
Ursula Toth
AKAnnika Kotter
Annika Kotter
Mark HelmMark Helm
Mark Helm
WRWalter Rossmanith
Walter Rossmanith
The TRM10 family of methyltransferases is responsible for the N1-methylation of purines at position 9 of tRNAs in Archaea and Eukarya. The human genome encodes three TRM10-type enzymes, of which only the mitochondrial TRMT10C was previously characterized in detail, whereas the functional significance of the two presumably nuclear enzymes TRMT10A and TRMT10B remained unexplained. Here we show that TRMT10A is m1G9-specific and methylates a subset of nuclear-encoded tRNAs, whilst TRMT10B is the first m1A9-specific tRNA methyltransferase found in eukaryotes and is responsible for the modification of a single nuclear-encoded tRNA. Furthermore, we show that the lack of G9 methylation causes a decrease in the steady-state levels of the initiator tRNAiMet-CAT and an alteration in its further post-transcriptional modification. Our work finally clarifies the function of TRMT10A and TRMT10B in vivo and provides evidence that the loss of TRMT10A affects the pool of cytosolic tRNAs required for protein synthesis.