Wolfgang Enard

This study shows brassinosteroids repress plant immunity by inducing DNA methylation and altering splicing of immune receptor genes through bHLH transcription factors.

The paper optimizes RNA-seq protocols to increase usable reads by 60% using a funnel strategy, improving cost-efficiency in bulk RNA-seq.

The paper identifies and compares orthologous cell types across primate species using scRNA-seq data from embryoid bodies, finding limited transferability of marker genes between species.

This study shows that Galectin-1 reduces atherosclerotic plaque formation by reprogramming macrophages and modulating T cell immunity through both glycan-dependent and -independent mechanisms.

The paper maps 3D genome organization, chromatin accessibility, and gene expression in primate neural stem cells to identify human-specific epigenetic signatures and their role in gene regulation.

This paper benchmarks multimodal single-cell data integration methods to improve kidney reference atlas quality by identifying adaptive states and rare cell types.

The paper identifies glycogen metabolism differences in pluripotent cells across species that influence neural differentiation speed.

This study identifies UHMK1 as a splicing regulatory kinase by showing its role in phosphorylation, alternative splicing, and cellular processes through integrated phosphoproteomics and RNA-seq analyses.

The paper profiles the transcriptome of striatal subregions in mice during learning stages to identify molecular changes and provides a web tool for exploring the data.

This study evaluates background noise in single-cell RNA-seq data and assesses methods for its removal, finding that CellBender performs best for marker gene detection.

This study identifies how EBNA2 interacts with EBF1 to drive MYC expression and metabolic processes necessary for cell cycle progression in EBV-infected B cells.

Prime-seq is a bulk RNA-seq method that is four-fold more cost-efficient than TruSeq while maintaining equivalent library complexity, measurement accuracy, and statistical power.

This study identifies retrotransposons as pathogenicity factors in the fungus Botrytis cinerea by showing their role in enhancing aggressiveness and suppressing plant defense genes through BcsRNA production.

The paper identifies Wnt/PCP-activated Lgr5+ intestinal stem cells that directly differentiate into enteroendocrine or Paneth cells, challenging previous models of multipotency.

This study benchmarks 13 scRNA-seq protocols to evaluate their effectiveness in characterizing cell types and states for cell atlas projects.

The paper identifies DPPA3 as a driver of genome-wide passive DNA demethylation in mammals, showing it can bypass TET protein requirements and function across species.

This study evaluates scRNA-seq pipelines by simulating five library protocols and nine DE setups, finding that normalization and library prep have the largest impact on analysis outcomes.

This study examines Foxp2 expression patterns in a humanized mouse model and finds region-specific shifts in striatal expression levels associated with behavioral changes.

The paper introduces mcSCRB-seq, a new scRNA-seq protocol that improves sensitivity and efficiency through optimized experimental conditions.

zUMIs processes RNA-seq data with UMIs and BCs, improving gene detection and cluster resolution by analyzing intronic reads.

This study quantifies biases in cross-species RNA-seq analyses and provides guidance for reliable expression quantification among closely related species.

powsimR simulates and evaluates differential expression in bulk and single-cell RNA-seq data to perform power analysis for experimental design and comparison.

The paper proposes the Human Cell Atlas project to catalog all human cell types through molecular profiling and connects this data with classical cellular descriptions.

This study compares five scRNA-seq protocols using mouse embryonic stem cells, finding Smart-seq2 most sensitive and SCRB-seq/Drop-seq most cost-efficient for differential gene detection.

This study evaluates how RNA-seq amplification affects differential expression analysis, finding that duplicate read removal does not improve accuracy but UMI-based protocols enhance detection power.