Olli Dufva

A Community-Driven Single-Cell PBMC Reference Integrating Landmark Datasets Spanning Health and Disease

HARP integrates PBMC data from multiple studies to create a reference atlas with consensus annotations and identifies age, sex, and disease-related cellular modules.

STEER-seq: a recombinase based platform for pooled multimodal single-cell perturbation screening

STEER-seq enables pooled single-cell perturbation screening in hiPSCs by using defined genomic integration and barcode tracking to study transcription factor effects on cell identity.

Selective scoring of drug effects in multicellular co-culture systems

The paper introduces CES, a computational framework to score drug effects in multicellular co-culture systems, distinguishing between immunomodulatory effects and toxicity.

Multimodal immunopharmacologic screens identify drugs rewiring the cancer-immune interface

The paper identifies drugs that rewiring the cancer-immune interface by enhancing NK cell function and tumor susceptibility through multimodal screening approaches.

Single-Cell Profiling Reveals Developmental Trajectories and identifies SYK and TIM3 as Targets in some T Cell Lymphomas

This study uses single-cell transcriptomics to analyze T cell lymphomas, identifies developmental origins, and discovers SYK and TIM3 as potential therapeutic targets.

Perturbation-guided mapping of colorectal cancer cell states to causal mechanisms

This paper develops a continual learning framework to map colorectal cancer cell states to causal mechanisms through integration of single-cell data and perturbation experiments.

Integrating multi-covariate disentanglement with counterfactual analysis on synthetic data enables cell type discovery and counterfactual predictions.

CellDISECT improves cell type discovery and counterfactual predictions by disentangling covariates and using synthetic data for training.