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Fernandopulle, M.

Publications and source records attributed to Fernandopulle, M..

2 recordsLinked to original sources

A system for high-throughput axonal imaging of induced pluripotent stem cell-derived human i3Neurons

Neurons have long, thin axons and branched dendritic processes which rely on an extensive microtubule network that functions as a cellular scaffold and substrate for cargo transport. Microtubule defects are a defining pathological feature of neurological disorders. The highly arborized, long, polarized neuronal processes pose challenges for imaging-based assays. Available methods use either dispersed cultures, which are inefficient for compartment-specific analyses, or microfluidic chambers, which allow clear separation of somatodendritic and axonal compartments but are expensive and difficult to maintain. Here, we introduce an "i3Neurosphere" culture model of induced pluripotent stem cell (iPSC)-derived human cortical i3Neurons that enables high-throughput imaging of hundreds of axons without specialized equipment. We characterize neurite outgrowth, polarization, microtubule dynamics, and motility of diverse cargo, providing a reference for future work on microtubule processes in this system. The high-throughput compartment-specific imaging we present, combined with facile genetic engineering in i3Neurons provides a powerful tool to study human neurons. SIGNIFICANCE STATEMENTHuman neurons are difficult to study due to limited access to tissue and technical challenges in existing in vitro models of axonal transport. We developed i3Neurospheres, a simple and scalable 3D culture system of human iPSC-derived neurons that enables high-throughput imaging of axonal outgrowth, microtubule dynamics, and intracellular transport. This platform provides an accessible, reproducible method for investigating neuronal function and disease mechanisms, offering broad utility for neuroscience research and preclinical drug screening.

neuroscience↗

A fully automated FAIMS-DIA proteomic pipeline for high-throughput characterization of iPSC-derived neurons

Fully automated proteomic pipelines have the potential to achieve deep coverage of cellular proteomes with high throughput and scalability. However, it is important to evaluate performance, including both reproducibility and ability to provide meaningful levels of biological insight. Here, we present an approach combining high field asymmetric waveform ion mobility spectrometer (FAIMS) interface and data independent acquisition (DIA) proteomics approach developed as part of the induced pluripotent stem cell (iPSC) Neurodegenerative Disease Initiative (iNDI), a large-scale effort to understand how inherited diseases may manifest in neuronal cells. Our FAIMS-DIA approach identified more than 8000 proteins per mass spectrometry (MS) acquisition as well as superior total identification, reproducibility, and accuracy compared to other existing DIA methods. Next, we applied this approach to perform a longitudinal proteomic profiling of the differentiation of iPSC-derived neurons from the KOLF2.1J parental line used in iNDI. This analysis demonstrated a steady increase in expression of mature cortical neuron markers over the course of neuron differentiation. We validated the performance of our proteomics pipeline by comparing it to single cell RNA-Seq datasets obtained in parallel, confirming expression of key markers and cell type annotations. An interactive webapp of this temporal data is available for aligned-UMAP visualization and data browsing (https://share.streamlit.io/anant-droid/singlecellumap). In summary, we report an extensively optimized and validated proteomic pipeline that will be suitable for large-scale studies such as iNDI.

neuroscience↗