Walker D. Huso

The impact of fungal developmental structures on mechanical properties of mycelial materials.

This study shows that suppressing asexual development in Aspergillus nidulans improves the mechanical strength of mycelial materials, with some mutants also showing increased elasticity due to autolysis.

Quantification of Aspergillus nidulans Actin Dynamics during Early Growth and Septum Formation

This paper develops a live-cell imaging system to study actin dynamics in Aspergillus nidulans, revealing distinct growth phases and actin redistribution during septum formation.

DIA-PASEF Proteomic Profiling Reveals MpkA-Dependent Iron Stress Responses and Siderophore Biosynthesis in Aspergillus nidulans

This study uses DIA-PASEF proteomics to identify iron stress responses and siderophore biosynthesis in A. nidulans, revealing MpkA-dependent changes in protein expression and phosphorylation.

Synthetic Generation of Dynamic Omics Data Demonstrates Aspergillus nidulans BrlA Paradoxical Wall Stress Response

The paper demonstrates a method using LSTM networks to generate dynamic omics data, showing it can predict biological responses with few samples and uncovering a paradoxical BrlA response to micafungin.

Aspergillus nidulans cell wall integrity kinase, MpkA, impacts cellular phenotypes that alter mycelial-material mechanical properties

This study shows that deleting the MpkA kinase in Aspergillus nidulans alters mycelial material mechanical properties, including increased tensile strength and resistance to fragmentation.

Protein Kinases MpkA and SepH Transduce Crosstalk Between CWI and SIN Pathways to Activate Protective Hyphal Septation Under Echinocandin Cell Wall Stress

This study identifies crosstalk between the CWI and SIN pathways in fungi, showing that it enables hyperseptation under echinocandin stress, which contributes to resistance.

Using flux theory in dynamic omics data sets to identify differentially changing signals using DPoP

This paper introduces derivative profiling (DP) to identify differentially changing signals in dynamic omics data, showing it is statistically comparable to existing methods and computationally efficient.