}
Prof. Dr. Barbara Treutlein, Dr. Sandrine Da Cruz, and MaxWell Biosystems experts answer audience questions from Driving Innovation in Human Neural Models of Development and Disease, a MaxWell Biosystems webinar presented by Nature Custom Media.
Many of you joined our webinar, Driving Innovation in Human Neural Models of Development and Disease, featuring Dr. Sandrine Da Cruz and Prof. Barbara Treutlein.
The session brought together two leading researchers using complementary approaches to develop more informative human neural models. Prof. Barbara Treutlein, Professor of Quantitative Developmental Biology at ETH Zürich, uses single-cell technologies and stem cell-based models to investigate human development and generate diverse, biologically relevant neuronal cell types. Dr. Sandrine Da Cruz, Professor at KU Leuven and Group Leader at the VIB-KU Leuven Center for Neuroscience, studies the molecular mechanisms underlying neurodegenerative diseases, including ALS and FTD, using advanced disease models, spatial approaches, imaging, and functional analysis.
Together, their presentations explored how advances in neuronal subtype programming and spatial transcriptomics can help address key challenges in human neural modeling - from generating the right cell types and capturing functionally relevant phenotypes to understanding RNA localization, axonal vulnerability, and neurodegeneration.
Human neural models are increasingly used to investigate nervous system development, disease mechanisms, and potential therapeutic strategies. However, important questions remain around their maturation, reproducibility, long-term stability, functional relevance, and translation to patients. Addressing these challenges requires combining molecular and spatial information with functional readouts of neuronal and network activity.
The live discussion generated more questions than we could address during the session. Below, Prof. Treutlein, Dr. Da Cruz, and experts from MaxWell Biosystems respond to audience questions about patient translation, long-term disease modeling, spatial transcriptomics, neuronal function, and selective vulnerability in neurodegenerative disease. We will continue updating this article as additional answers become available.
Question from the audience
How do such models translate to patients with progressive neurodegenerative diseases?
Dr. Da Cruz’s answer
These models provide mechanistic insight and enable patient-specific perturbations (e.g., genetics, environment), but translation still relies on converging evidence across systems. We combine human cellular assays as well as in vivo systems to increase robustness of our findings. Their strength lies in identifying early and disease-dependent dysregulated vulnerabilities that can inform biomarkers and therapeutic targets, which can ultimately be validated in patients.
Question from the audience
What are the main challenges in the long term study of neurodegenerative diseases?
Dr. Da Cruz’s answer
Key challenges include maintaining mature, stable phenotypes over time, modeling aging, capturing slow disease trajectories, and preserving multicellular interactions (e.g., glia, immune components). Recapitulating disease heterogeneity are also challenging, yet tremendous progress has been made in the recent years.
Question from the audience
Have your models been tested for the assay and function of botulinum neurotoxin?
Dr. Da Cruz’s answer
We have not systematically optimized the model for botulinum neurotoxin assays. However, given the presence of functional synaptic machinery, the platform should in principle be suitable for probing synaptic transmission blockade, pending dedicated validation.
Question from the audience
Please could you expand on how spatial transcriptomics data can be translated into constraints for theoretical models of axonal vulnerability.
Dr. Da Cruz’s answer
Spatial transcriptomics allows mapping of gene expression gradients across somato-dendritic and axonal compartments. These data can inform model parameters such as local translation capacity, metabolic demand, transport efficiency, and stress responses—providing spatially resolved constraints for predicting where and why degeneration initiates.
Question from the audience
How can spatial transcriptomics be used to identify early subcellular RNA localization changes associated with synaptic dysfunction and neurodegeneration in Alzheimer’s disease?
Dr. Da Cruz’s answer
Spatial approaches can identify mislocalization of synaptic mRNAs (e.g., reduced dendritic or axonal targeting) before overt pathology. By integrating subcellular resolution data with disease progression, it becomes possible to detect early disruptions in RNA transport and local translation that precede synaptic failure.
Question from the audience
How can molecular changes (e.g. RNA localization) be linked to electrophysiological function in neurons?
Dr. Da Cruz’s answer
This can be achieved by correlating perturbations in RNA localization or translation with functional outputs such as synaptic strength, firing patterns, or network activity. Combining imaging/transcriptomics with MEA or patch-clamp recordings enables causal links between molecular deficits and functional impairment.
Question from the audience
Why do you think ocular motor neurons survive until the end in ALS and spared in SMA?
Dr. Da Cruz’s answer
These neurons likely benefit from a combination of intrinsic properties (e.g., calcium buffering, gene expression programs, proteostasis capacity) and extrinsic support (e.g., synaptic inputs, trophic factors). Their resistance highlights protective pathways that could be leveraged therapeutically. This is indeed a line of research ongoing in the lab to elucidate molecular hallmarks underlying resistance/vulnerability.
Question from the audience
Does the degeneration of upper motor neurons drive spinal cord neuron degeneration or vice versa?
Dr. Da Cruz’s answer
While corticospinal (upper motor neuron) degeneration can drive downstream vulnerability, lower motor neuron and NMJ pathology occur early and importantly in all ALS forms. This is why it is critical to understand why NMJs are lost so early since targeting such early demise will have wide implications for all patients.
These questions highlight the complexity of building human neural models that are both biologically informative and relevant to progressive neurological disease. Capturing patient heterogeneity, aging, multicellular interactions, and slow disease trajectories remains challenging. At the same time, advances in spatial transcriptomics, stem cell biology, imaging, and electrophysiology are making it increasingly possible to connect molecular changes with neuronal and network function.
The full webinar replay is already available. Watch the complete session to hear from Dr. Sandrine Da Cruz and Prof. Barbara Treutlein, explore their complementary research approaches, and follow the questions discussed during the live event.
You can also visit our dedicated Focus on Neuro-Disease Modeling page, where we bring together webinars, publications, expert perspectives, and practical resources for investigating neurological disease across molecular, cellular, axonal, and network scales.
Stay tuned as we continue adding new answers to this Q&A and expanding our collection of disease-modeling resources.
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