Magdalena E Strauß

Comparative Single-Cell Profiling of CRISPR Knockout and Interference Defines Modality-Specific Strengths in Functional Genomics

This study compares CRISPR knockout and interference methods using single-cell RNA sequencing to evaluate their strengths in functional genomics.

SELECT-seq allows Pre-Sequencing Enrichment of SNP Edits in One-Pot Single-Cell Whole-Transcriptome Sequencing

SELECT-seq enables rapid, scalable SNP-specific enrichment of single cells for genotype-phenotype analysis without cloning.

Saturation-seq integrates single-cell saturation genome editing and RNA-seq to quantify NFE2L2 (NRF2) variant effects

Saturation-seq combines genome editing and single-cell RNA-seq to quantify variant effects on NFE2L2, accurately distinguishing pathogenic from benign variants.

A genome-scale single cell CRISPRi map of trans gene regulation across human pluripotent stem cell lines

The paper presents a genome-scale CRISPRi perturbation map in human pluripotent stem cells using single-cell RNA sequencing to study trans gene regulation across diverse genetic backgrounds.

High-throughput phenotyping of single nucleotide variants by linking transcriptomes to genotypes in single cells

This study links single-cell transcriptomes to genotypes to assess the functional impact of single nucleotide variants, classifying missense variants into three categories.

Bespoke single cell molecular and tissue-scale analysis reveals mechanisms underpinning development and disease in complex developing cell populations

The paper develops statistical tools to analyze gene knockouts in mouse embryos and applies them to study developmental disruptions and cancer therapy responses.

GPseudoClust: deconvolution of shared pseudo-profiles at single-cell resolution

GPseudoClust jointly infers pseudotime ordering and gene clusters while quantifying uncertainty, showing effectiveness across simulated and experimental datasets.

GPseudoRank: a permutation sampler for single cell orderings

GPseudoRank samples from pseudotime order distributions in scRNA-seq data to identify phases of uncertainty and detect cells with distinct biological responses.