Vanessa Paurus

Multiomics dissection of the CO2-dependent fast growth of Picochlorum celeri

This study profiles multi-omics data in Picochlorum celeri under CO2 limitation, revealing a CO2-dependent switch in Rubisco subunits and extensive post-translational modifications.

Saprotrophic soil fungus dissolves lithium lepidolite through inositol rescue metabolism

This study shows a soil fungus alters its metabolism to dissolve lithium ore, releasing soluble lithium, and suggests similar strategies may occur in natural microbial communities.

Studying Effects of PDA Media Strengths on the Growth of Colletotrichum sublineola Using MPLEx-Based Integrative Proteomics and Metabolomics Analyses

This study investigates how varying PDA media strengths affect the growth of Colletotrichum sublineola using proteomics and metabolomics, revealing nutrient limitation-induced sporulation and metabolic reprogramming.

Long-read RNA-seq atlas of novel microglia isoforms elucidates disease-associated genetic regulation of splicing

The paper presents a long-read RNA-seq atlas of microglia isoforms, identifying novel isoforms and their associations with genetic risk loci in Alzheimer's and Parkinson's disease.

Discovery of non-opioid receptor protein targets of fentanyl across tissues from animal models and humans using photoaffinity probes

This study identifies non-opioid receptor proteins that interact with fentanyl across multiple species and tissues using photoaffinity probes and molecular docking.

A Phosphoproteomics Data Resource for Systems-level Modeling of Kinase Signaling Networks

The paper generates a deep phosphoproteomics dataset of the EGFR-MAPK pathway in MCF10A cells and integrates it with protein databases to study kinase signaling.

Evaluating Retention Index Score Assumptions to Refine GC-MS Metabolite Identification

This study evaluates and refines assumptions in retention index scores for GC-MS metabolite identification to improve accuracy and reduce manual verification.

Gaussian Mixture Modeling Extensions for Improved False Discovery Rate Estimation in GC-MS Metabolomics

This paper improves false discovery rate estimation in GC-MS metabolomics by extending Gaussian mixture models to incorporate similarity scores and experimental data.