Author

Ansgar Poetsch

Max Planck Institute for Heart and Lung ResearchORCID 0000-0002-7540-3475Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Assay:bulk RNA-seq· 2 Organism:mouse· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1

Frequent Co-Authors

Alexander KruseiD· 1 shared Andreas BuneßiD· 1 shared Anton Ogorodnikov· 1 shared Bin TianiD· 1 shared Christian TrötscheliD· 1 shared Denise Scherzinger· 1 shared Dongbo BuiD· 1 shared Farhad ShakeriiD· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperMolecular Biology

Alexander KruseORCID

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3 papers

Recent·Most cited

Prm2 deficiency triggers a Reactive Oxygen Species (ROS)-mediated destruction cascade during epididymal sperm maturation in mice

Simon Schneider, Farhad Shakeri, Christian Trötschel, Lena Arévalo, Alexander Kruse, Andreas Buneß, Ansgar Poetsch, Klaus Steger, Hubert Schorle

This study investigates Prm2 deficiency in mice, showing it leads to oxidative stress and DNA damage during sperm maturation, affecting fertility.

Cells · Jul 27, 2020Peer-reviewedMolecular Biology

PCF11 connects alternative polyadenylation to formation and spontaneous regression of neuroblastoma

Anton Ogorodnikov, Michal Levin, Surendra Mohan Tattikota, Sergey V. Tokalov, Mainul Hoque, Denise Scherzinger, Fédérico Marini, Ansgar Poetsch, Harald Binder, Stephan Macher-Göppinger, Hans Christian Probst, Bin Tian, Michael Schaefer, Karl Johannes Lackner, Frank Westermann, Sven Danckwardt

The paper identifies PCF11 as a critical regulator of alternative polyadenylation in neuroblastoma, linking it to cell fate reprogramming and spontaneous tumor regression.

Nature Communications · Dec 10, 2018Peer-reviewedGenomics

Bi-clustering interpretation and prediction of correlation between gene expression and protein abundance

Xiaojun Wang, Lin Teng, Haicang Zhang, Qian Zhou, Xiaoquan Su, Xinping Cui, Dongbo Bu, Xinqi Gong, Ansgar Poetsch, Kang Ning

The paper uses bi-clustering to identify gene clusters with consistent expression-protein abundance correlations and builds a prediction model to forecast protein abundance from mRNA data.

bioRxiv · Feb 23, 2018 · PreprintBioinformatics