Krister Wennerberg

The paper identifies conserved cell states in ovarian high-grade serous carcinoma that correlate with poor prognosis and presents actionable targets for improving platinum response.

This study shows that combining AXL inhibition with RAS or ERK inhibitors enhances efficacy in KRAS-mutant cancers by overcoming resistance mechanisms.

The paper uses single-cell RNA sequencing to identify resistance signatures in ovarian cancer and develops a framework for combination therapy with carboplatin.

This paper describes a protocol to generate a 3D multicellular model of ovarian high-grade serous carcinoma that includes stromal cells and organoids for drug testing and scRNA-seq.

This study identifies enhanced mitochondrial respiration and glutamine-dependent TCA cycle as vulnerabilities in MYChigh breast cancer cells, showing synthetic lethality with complex I inhibitors.

This study identifies DEK::NUP214 as an XPO1-dependent transcriptional activator of leukemia genes, showing selective response to XPO1 inhibitors in t(6;9) AML cases.

The paper develops a machine learning model to identify patient-specific multi-targeting therapies using single-cell transcriptomic data for hematological cancers and solid tumors.

MICHA is a pipeline that FAIRifies chemosensitivity assays by automatically annotating compounds, samples, reagents, and data processing methods, enabling interoperable and reusable drug screening data.

This paper develops a computational-experimental approach to design patient-specific drug combinations for AML that are synergistic and minimally toxic.

The paper introduces an improved algorithm for detecting differentially responding lineages in DNA barcoding experiments, showing higher accuracy than RNA-seq methods.

This paper introduces a normalized drug response metric to improve accuracy and consistency in drug sensitivity quantification by accounting for growth rate variations and experimental noise.

The paper presents a systemic analysis of PP2A-regulated phosphosignaling and drug responses, revealing rules for phosphoregulation and cancer therapy classification.

The paper develops an experimental-computational pipeline for high-throughput drug combination screening and synergy scoring in cancer cells.