Alina F. Leuchtenberger

ORCID: 0000-0003-2566-4260
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About
Contact & Profiles
Research Areas
  • Fossil Insects in Amber
  • Evolution and Paleontology Studies
  • RNA regulation and disease
  • RNA Research and Splicing
  • Paleontology and Stratigraphy of Fossils
  • RNA and protein synthesis mechanisms
  • interferon and immune responses
  • Plant and animal studies
  • Genomics and Phylogenetic Studies
  • Plant Diversity and Evolution

Max Perutz Labs
2019-2024

Vienna Biocenter
2021-2024

Medical University of Vienna
2019-2024

Adenosine deaminase acting on RNA ADAR1 promotes A-to-I conversion in double-stranded and structured RNAs. has two isoforms transcribed from different promoters: cytoplasmic ADAR1p150 is interferon-inducible while ADAR1p110 constitutively expressed primarily localized the nucleus. Mutations cause Aicardi - Goutières syndrome (AGS), a severe autoinflammatory disease associated with aberrant IFN production. In mice, deletion of or p150 isoform leads to embryonic lethality driven by...

10.1093/nar/gkad265 article EN cc-by Nucleic Acids Research 2023-04-07

Abstract Maximum likelihood and maximum parsimony are two key methods for phylogenetic tree reconstruction. Under certain conditions, each of these can perform more or less efficiently, resulting in unresolved disputed phylogenies. We show that a neural network distinguish between four-taxon alignments were evolved under conditions susceptible to either long-branch attraction repulsion. When discordant, the provide insight as which reconstruction method is best suited alignment. applied...

10.1093/molbev/msaa164 article EN cc-by-nc Molecular Biology and Evolution 2020-06-30

We show that an iterative ansatz of deep learning and human intelligence guided simplification may lead to surprisingly simple solutions for a difficult problem in phylogenetics. Distinguishing Farris Felsenstein trees is longstanding phylogenetic tree reconstruction. The Artificial Neural Network F-zoneNN solves this 4-taxon alignments evolved under the Jukes-Cantor model. It distinguishes between trees, but owing its complexity, lacks transparency mechanism discernment. Based on alignment...

10.1109/tcbb.2024.3352268 article EN cc-by IEEE/ACM Transactions on Computational Biology and Bioinformatics 2024-01-10

Abstract Adenosine deaminase acting on RNA (ADAR) (also known as ADAR1) promotes A-to-I conversion in double-stranded and highly structured RNAs. ADAR1 has two isoforms transcribed from different promoters: ADAR1p150, which is mainly cytoplasmic interferon-inducible, constitutively expressed ADAR1p110 that primarily localized the nucleus. Mutations cause Aicardi – Goutières syndrome (AGS), a severe autoinflammatory disease humans associated with aberrant IFN production. In mice, deletion of...

10.1101/2021.11.24.469911 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-11-24

Abstract Maximum likelihood and maximum parsimony are two key methods for phylogenetic tree reconstruction. Under certain conditions, each of these can perform more or less efficiently than the other. We show that a neural network distinguish between four-taxon alignments were evolved under conditions conducive to long-branch attraction, repulsion. The feedback from be used select most efficient reconstruction method yielding increased accuracy, when compared rigid choice methods. When...

10.1101/822288 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-10-29
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