Hocke, Andreas

Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment

Schulte-Schrepping, J., Reusch, N., Paclik, D., Baßler, K., Schlickeiser, S., Zhang, B., Krämer, B., Krammer, T., Brumhard, S., Bonaguro, L., et al. (2020) · Cell

COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research

Cited by 1,461

SARS-CoV-2-reactive T cells in healthy donors and patients with COVID-19

Braun, J., Loyal, L., Frentsch, M., Wendisch, D., Georg, P., Kurth, F., Hippenstiel, S., Dingeldey, M., Kruse, B., Fauchere, F., et al. (2020) · Nature

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 1,310

COVID-19 severity correlates with airway epithelium–immune cell interactions identified by single-cell analysis

Chua, R. L., Lukassen, S., Trump, S., Hennig, B. P., Wendisch, D., Pott, F., Debnath, O., Thürmann, L., Kurth, F., Völker, M. T., et al. (2020) · Nature Biotechnology

COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research

Cited by 1,035

Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

Messner, C. B., Demichev, V., Wendisch, D., Michalick, L., White, M., Freiwald, A., Textoris-Taube, K., Vernardis, S. I., Egger, A.-S., Kreidl, M., et al. (2020) · Cell Systems

Advanced Proteomics Techniques and ApplicationsCOVID-19 Clinical Research Studies

Cited by 561

SARS-CoV-2 infection triggers profibrotic macrophage responses and lung fibrosis

Wendisch, D., Dietrich, O., Mari, T., von Stillfried, S., Ibarra, I. L., Mittermaier, M., Mache, C., Chua, R. L., Knoll, R., Timm, S., et al. (2021) · Cell

COVID-19 Clinical Research StudiesInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis

Cited by 528

A Therapeutic Non-self-reactive SARS-CoV-2 Antibody Protects from Lung Pathology in a COVID-19 Hamster Model

Kreye, J., Reincke, S. M., Kornau, H.-C., Sánchez-Sendin, E., Corman, V. M., Liu, H., Yuan, M., Wu, N. C., Zhu, X., Lee, C.-C. D., et al. (2020) · Cell

SARS-CoV-2 and COVID-19 ResearchMonoclonal and Polyclonal Antibodies Research

Cited by 347

IFNs Modify the Proteome of Legionella-Containing Vacuoles and Restrict Infection Via IRG1-Derived Itaconic Acid

Naujoks, J., Tabeling, C., Dill, B. D., Hoffmann, C., Brown, A. S., Kunze, M., Kempa, S., Peter, A., Mollenkopf, H.-J., Dorhoi, A., et al. (2016) · PLOS Pathogens

Legionella and Acanthamoeba researchinterferon and immune responses

Cited by 261

Morphological and molecular breast cancer profiling through explainable machine learning

Binder, A., Bockmayr, M., Hägele, M., Wienert, S., Heim, D., Hellweg, K., Ishii, M., Stenzinger, A., Hocke, A., Denkert, C., et al. (2021) · Nature Machine Intelligence

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 156

COVID-19 highlights the model dilemma in biomedical research

Adhikary, P. P., Ul Ain, Q., Hocke, A. C., & Hedtrich, S. (2021) · Nature Reviews Materials

3D Printing in Biomedical ResearchSARS-CoV-2 and COVID-19 Research

Cited by 25

Introducing quality measures in an academic research consortium: Lessons and recommendation from implementing an ad hoc quality management system for organ model research

Hülsemann, M., Wiebach, J., Drude, N. I., Kniffert, S., Behm, L., Hönzke, K., Baumgardt, M., Hippenstiel, S., Hocke, A. C., Dirnagl, U., et al. (2022) · The EMBO Reports

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 6