Pascal Falter‐Braun

Symbiont effectors modulate plant signalling to increase host stress resilience

This study identifies effector proteins from the fungal symbiont Serendipita indica that modulate plant stress signaling pathways, enhancing abiotic stress resilience and pathogen resistance in Arabidopsis.

The PP2A phosphatase associates with the Arabidopsis TRAPPII tethering complex and dephosphorylates a TRAPPII-derived phosphopeptide in vitro

This study identifies PP2A phosphatase as a potential dephosphorylating enzyme for TRAPPII subunit TRS120 in Arabidopsis, linking kinase-phosphatase balance to membrane trafficking.

Hidden sampling biases inflate performance in gene regulatory network inference

The paper shows that sampling biases in negative regulatory interactions inflate performance in gene regulatory network inference and proposes a degree-aware sampling approach to address this issue.

Systematic Discovery of Pathogen Effector Functions across Human Pathogens and Pathways

The paper systematically identifies effector functions of pathogen ORFs across multiple pathways, revealing new roles for known effectors and uncharacterized proteins.

Conserved metabolic vulnerabilities across pathogenic coronaviruses nominate host-directed therapeutic targets

The paper identifies conserved metabolic vulnerabilities across SARS-CoV, SARS-CoV-2, and MERS-CoV using transcriptomic data and metabolic models, revealing druggable host targets.

Comparative gene regulatory network mapping of Brassicaceae members with differential drought tolerance

The paper maps gene regulatory networks in drought-tolerant and sensitive Brassicaceae species to identify regulatory differences underlying drought tolerance.

CaV1.2-dependent excitation-transcription coupling modulates nociception

This paper investigates Cav1.2-dependent excitation-transcription coupling in nociceptors, showing it modulates pain sensitivity by affecting gene expression and neuronal function.

Speos: An ensemble graph representation learning framework to predict core genes for complex diseases

Speos predicts core genes for complex diseases using graph representation learning, achieving validation rates comparable to Mendelian disorder genes and identifying druggable targets.

Inferring protein from mRNA concentrations using convolutional neural networks

The paper develops a CNN-based predictor to estimate protein abundance from mRNA concentrations in humans and Arabidopsis, achieving 40% and 48% variance prediction, respectively.

A map of binary SARS-CoV-2 protein interactions implicates host immune regulation and ubiquitination

The paper maps binary SARS-CoV-2 protein interactions with host proteins, identifying key processes like immune signaling and ubiquitination, and suggests therapeutic targets.

Binary Interactome Models of Inner- Versus Outer-Complexome Organization

The paper constructs a high-quality yeast binary interactome map and compares inner- and outer-complexome organization, finding the outer-complexome contains more interactions and exhibits higher functional heterogeneity.

Global BioID-based SARS-CoV-2 proteins proximal interactome unveils novel ties between viral polypeptides and host factors involved in multiple COVID19-associated mechanisms

Proximity-dependent biotinylation (BioID) of 28 SARS-CoV-2 proteins in human cells maps 5,415 proximal interactions with 2,128 host targets across basal and poly(I:C) conditions.