André EX Brown

Distinct genetic requirements underlie LITE-1-dependent photosensation and avoidance of high concentration of diacetyl in C. elegans

The paper shows that LITE-1 in C. elegans uses distinct genetic pathways for photosensation and chemosensation of diacetyl.

A Neuronally Active Bacterial Siderophore Manipulates Host Behavior and Longevity

This study identifies bacterial enterobactin as a non-canonical neurotransmitter that modulates host behavior and aging via mitochondrial function and redox state.

Continuous negative autoregulation fine-tunes dosage-sensitive transcription factor expression to maintain post-mitotic neuron identity

This study shows that negative autoregulation of the TF UNC-3 maintains precise expression levels in post-mitotic neurons, counterbalanced by positive input from CEH-20/PBX, ensuring cell identity.

A whole organism screening platform identifies gut microbiome microproteins that modulate host metabolism

The paper identifies gut microbiome microproteins that modulate host metabolism using a whole-organism screening platform in C. elegans.

High-throughput behavioural phenotyping of 25 C. elegans disease models including patient-specific mutations

This paper uses automated behavioural tracking in C. elegans to phenotype 25 disease models, revealing both strong and subtle mutant effects that could aid drug repurposing.

An improved neural network model enables worm tracking in challenging conditions and increases signal-to-noise ratio in phenotypic screens

DeepTangleCrawl, DeepTangle retrained for crawling C. elegans, skeletonises more coiled and overlapping worms than Tierpsy, Omnipose or a PAF tracker, with longer tracks and larger screen effect sizes than Tierpsy.

Screening conditions and constructs for attempted genetic transformation of C. elegans by Agrobacterium

The paper describes constructs and conditions for Agrobacterium-mediated genetic transformation of C. elegans, aiming to enable high-throughput transgenic library creation.

Evidence for natural selection shaping the evolution of collective behavior among global Caenorhabditis elegans populations

The paper examines global variation in C. elegans aggregation behavior, finding elevation-driven differences and evidence for natural selection shaping this collective behavior.

The C. elegans gustatory receptor homolog LITE-1 is a chemoreceptor required for diacetyl avoidance

This study identifies LITE-1 as a chemoreceptor in C. elegans that mediates both blue light and diacetyl avoidance behaviors.

Bi-allelic loss-of-function variants in PPFIBP1 cause a neurodevelopmental disorder with microcephaly, epilepsy and periventricular calcifications

A C. elegans model of C9orf72-associated ALS/FTD uncovers a conserved role for eIF2D in RAN translation

This study uses C. elegans models to show that eIF2D is essential for RAN translation in C9orf72 expansions, and its inhibition extends lifespan and reduces disease.

Behavioral fingerprints predict insecticide and anthelmintic mode of action

The paper uses high-throughput imaging and automated phenotyping to predict the mode of action of compounds in C. elegans with 88% accuracy.

Establishment and maintenance of motor neuron identity via temporal modularity in terminal selector function

The paper identifies direct targets of the terminal selector UNC-3 in C. elegans motor neurons and shows that its function is temporally modular, with distinct roles in maintaining neuronal identity across life stages.

Multidimensional phenotyping predicts lifespan and quantifies health in C. elegans

The paper uses multidimensional phenotyping of C. elegans to predict lifespan and quantify health, showing that more features improve prediction accuracy.

A terminal selector prevents a Hox transcriptional switch to safeguard motor neuron identity throughout life

The paper identifies a terminal selector that prevents a Hox transcriptional switch to maintain motor neuron identity in C. elegans.

Deep behavioural phenotyping reveals divergent trajectories of ageing and quantifies health state in C. elegans

This study uses multi-parametric phenotyping to analyze ageing trajectories in C. elegans, revealing divergent ageing patterns in disease models and quantifying health states through phenotypic flexibility.

Recurrent Neural Networks with Interpretable Cells Predict and Classify Worm Behaviour

This paper uses a multilayer RNN to generate and classify C. elegans behaviour, finding that interpretable neurons correlate with observable features and improve strain classification.