Proteogenomic characterization of mantle cell lymphoma (C03)

• Subject Area: Pathology ; Hematology, Oncology ; Medical Informatics and Medical Bioinformatics
• Term: since 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 455784452

We aim to establish a proteomic landscape and classifier of mantle cell lymphoma. We will explore the predictive potential of imaging features derived by machine learning algorithms. Therefore, we will i) sequence a targeted gene panel, ii) describe spatial patterns of immune cell infiltrates, and iii) examine protein phosphorylation profiles by quantitative mass-spectrometry. Further, we will digitize all images and perform supervised and unsupervised clustering of data sets. An integrated multi-omics factor analysis will be performed to understand the relationships between the different molecular layers, and thirdly, we will elucidate the BCR signaling network in MCL cells by quantitative phosphoproteomics.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1530: Elucidation and targeting of pathogenic mechanisms in B cell malignancies
• Applicant Institution: Universität zu Köln
• Project Heads: Professor Dr. Reinhard Büttner; Professor Dr. Thomas Oellerich