Hans‐Hermann Wessels

The paper develops a CRISPR/Cas13d-based method to specifically knockdown RNA isoforms and provides computational tools for experimental design and analysis.

The paper uses Perturb-seq to systematically identify signaling regulator targets across multiple cell lines and contexts, introducing Mixscale to improve analysis and infer pathway activation changes.

The paper evaluates collateral RNA cleavage in CRISPR-Cas13d systems and finds that low-copy expression reduces off-target effects while maintaining on-target knockdown.

The paper uses paired CRISPR screens to identify cis- and trans-regulatory elements controlling PD-L1 expression in PDAC cells and links them to clinical outcomes.

The paper introduces CPA-Perturb-seq, a multiplexed perturbation screen dataset, and uses it to identify polyA site regulators and their functional properties.

The paper introduces CaRPool-seq, a method using Cas13 for combinatorial RNA perturbations in single cells, and applies it to study myeloid differentiation regulators in AML.

The paper predicts Cas13 guide RNA efficacy for transcripts in model organisms and viral RNA pathogens and provides a web tool for gRNA design.

This paper introduces CRISPR-sciATAC, a method linking genetic perturbations to chromatin accessibility in single cells, showing its effectiveness in human and mouse experiments.

The paper uses multi-modal single-cell screens to identify regulators of PD-L1 expression and develops a computational framework to improve analysis of perturbation data.

The paper develops a computational model to optimize Cas13 guide RNA designs for efficient RNA knock-down, validated across endogenous targets and providing a genome-wide resource for CRISPR screens.

This study shows that the m6A reader Ythdf limits axonal growth in Drosophila by modulating Fmr1 target selection.

The paper identifies functional miRNA::mRNA interactions in Drosophila using AGO CLIP experiments and quantifies their impact on gene expression and translation.

The paper analyzes RBP-RNA interactions across 64 RBPs to identify regulatory modules and their functional roles in RNA metabolism and localization.

The paper introduces omniCLIP, a Bayesian model for identifying protein-RNA interactions from CLIP-Seq data, applicable across different sequencing protocols.