Area of research
Hematology · Cancer Research
Research interest
Research interests include Multiple Myeloma Research and Treatments, Cancer Genomics and Diagnostics, Single-cell and spatial transcriptomics, and Cancer Cells and Metastasis.
Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage
Author Correction: Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage
Resolving therapy resistance mechanisms in multiple myeloma by multiomics subclone analysis
Resolving the spatial architecture of myeloma and its microenvironment at the single-cell level
OA-23 Resolving therapy resistance mechanisms in multiple myeloma by multi-omics subclone analysis
ALT-FISH quantifies alternative lengthening of telomeres activity by imaging of single-stranded repeats
Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage
Bone Marrow Immune Signatures in Multiple Myeloma Are Linked to Tumor Heterogeneity and Treatment Outcome
Subclone-specific microenvironmental impact and drug response in refractory multiple myeloma revealed by single‐cell transcriptomics
Functional States in Tumor-Initiating Cell Differentiation in Human Colorectal Cancer
The Spatial Heterogeneity in Newly Diagnosed Multiple Myeloma Patients - from Sub-Clonal Architecture to the Immune Microenvironment
OAB-007: Single-cell multiomic analysis identifies regulatory programs in relapsed/refractory multiple myeloma
P-049: The spatial sub-clonal architecture in newly diagnosed myeloma patients revealed by whole genome and single-cell sequencing
P-060: Subclone-specific microenvironmental impact and drug response in refractory multiple myeloma revealed by single cell transcriptomics
Modeling glioblastoma invasion using human brain organoids and single-cell transcriptomics
Abstract 1491: Transcriptional heterogeneity identifies functional states of tumor-initiating cell differentiation in human colorectal cancer
Pheno-seq – linking visual features and gene expression in 3D cell culture systems
Modeling glioblastoma invasion using human brain organoids and single-cell transcriptomics
A Comprehensive Analysis of Single-Cell Chromatin Accessibility and Gene Expression Identifies Intra-Tumor Heterogeneity and Molecular Treatment Responses in Relapsed/Refractory Multiple Myeloma
Dissecting Heterogeneity of Tumor Cells and Their Microenvironment in Refractory Multiple Myeloma
Induced aneuploidy disrupts MCF10A acini formation and CCND1 expression
pheno-seq – linking 3D phenotypes of clonal tumor spheroids to gene expression
2018cited by 0position: first
pheno-seq – linking morphological features to gene expression in 3D cell culture systems