Publications of Annalisa Marsico

Aznaourova, M.; Schmerer, N.; Janga, H.; Zhang , Z.; Pauck, K.; Bushe, J.; Volkers, S. M.; Wendisch, D.; Georg, P.; Ntini, E. et al.; Aillaud, M.; Gündisch, M.; Mack, E.; Skevaki , C.; Keller, C.; Bauer, C.; Bertrams, W.; Marsico, A.; Nist, A.; Stiewe, T.; Gruber, A. D.; Ruppert, C.; Li, Y.; Garn, H.; Sander, L. E.; Schmeck, B.; Schulte, L. N.: Single-cell RNA sequencing uncovers the nuclear decoy lincRNA PIRAT as a regulator of systemic monocyte immunity during COVID-19. Proceedings of the National Academy of Sciences of the United States of America 119 (36), e2120680119 (2022)

Herkt, C. E.; Caffrey, B.; Surmann, K.; Blankenburg, S.; Gesell Salazar, M.; Jung, A. L.; Herbel, S. M.; Hoffmann, K.; Schulte, L. N.; Chen, W. et al.; Sittka-Stark, A.; Völker, U.; Vingron, M.; Marsico, A.; Bertrams, W.; Schmeck, B.: A MicroRNA Network Controls Legionella pneumophila Replication in Human Macrophages via LGALS8 and MX1. mBio 11 (2), e03155-19 (2020)

Barros de Andrade e Sousa, L.; Jonkers, I.; Syx, L.; Dunkel, I.; Chaumeil, J.; Picard, C.; Foret, B.; Chen, C.-J.; Lis, J. T.; Heard, E. et al.; Schulz, E. G.; Marsico, A.: Kinetics of Xist-induced gene silencing can be predicted from combinations of epigenetic and genomic features. Genome Research 29 (7), pp. 1087 - 1099 (2019)

Krakau, S.; Richard, H.; Marsico, A.: PureCLIP: Capturing target-specific protein-RNA interaction footprints from single-nucleotide CLIP-seq data. Genome Biology 18 (1), 1:240 (2017)

Heller, D.; Krestel, R.; Ohler, U.; Vingron, M.; Marsico, A.: ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data. Nucleic Acids Research (London) 45 (19), pp. 11004 - 11018 (2017)

Barros de Andrade e Sousa, L.; Marsico, A.: A statistical model for epigenetic control of miRNAs. PeerJ 4, 4:e2423v1 (2016)

Budach, S.; Heinig, M.; Marsico, A.: Principles of microRNA Regulation Revealed Through Modeling microRNA Expression. Genetics 203 (4), pp. 1629 - 1640 (2016)

Du Bois, I.; Marsico, A.; Bertrams, W.; Schweiger, M. R.; Caffrey, B.; Sittka-Stark, A.; Eberhardt, M.; Vera, J.; Vingron, M.; Schmeck, B. T.: Genome-wide Chromatin Profiling of Legionella pneumophila-Infected Human Macrophages Reveals Activation of the Probacterial Host Factor TNFAIP2. The Journal of Infectious Diseases 214 (3), pp. 454 - 463 (2016)

Musahl, A.; Huang, X.; Rusakiewicz, S.; Ntini, E.; Marsico, A.; Kroemer, G.; Kepp, O.; Ørom, U. A.: A long non-coding RNA links calreticulin-mediated immunogenic cell removal to RB1 transcription. Oncogene 34 (39), pp. 5046 - 5054 (2015)

Conrad, T.; Marsico, A.; Gehre, M.; Ørom, U. A.: Microprocessor activity controls differential miRNA biogenesis In Vivo. Cell Reports 9 (2), pp. 542 - 554 (2014)

Prykhozhij, S.; Marsico, A.; Meijsing, S.: Zebrafish Expression Ontology of Gene Sets (ZEOGS): a tool to analyze enrichment of zebrafish anatomical terms in large gene sets. Zebrafish 10 (3), pp. 303 - 315 (2013)

Marsico, A.; Huska, M.; Lasserre, J.; Hu, H.; Vucicevic, D.; Musahl, A.; Ørom, U. A.; Vingron, M.: PROmiRNA: a new miRNA promoter recognition method uncovers the complex regulation of intronic miRNAs. Genome Biology 14 (8), p. R84 - R84 (2013)

Yang, X.; Marsico, A.: In silico promoter recognition from deepCAGE data. In: Enhancer RNAs: Methods and Protocols (Ed. Ørom, U. A.) (2017)

Caffrey, B.; Marsico, A.: Computational modeling of microRNA Biogenesis. In: Mathematical Models in Biology, pp. 85 - 98 (Eds. Zazzu, V.; Ferraro, M. B.). Springer International Publishing (2015)

Pacini, G.: Transcriptome regulation during the X chromosome inactivation process. Dissertation (2023)

Schulte-Sasse, R.: Integration of multi-omics data with graph convolutional networks to identify cancer-associated genes. Dissertation, ix, 190 pp. (2021)

Barros de Andrade e Sousa, L.: Using interpretable machine learning to understand gene silencing dynamics during X-chromosome inactivation. Dissertation, vii, 159 pp. (2021)

Budach, S.: Explainable deep learning models for biological sequence classification. Dissertation, vii, 119 pp. (2021)

Krakau, S.: Statistical models to capture protein-RNA interaction footprints from truncation-based CLIP-seq data. Dissertation, viii, 167 S pp. (2020)