Biology subjects

Ng, A. H. M.

Publications and source records attributed to Ng, A. H. M..

2 recordsLinked to original sources

bioRxiv2025

Empirical validation of ephaptic coupling in printed human neural circuits

Ephaptic coupling is a phenomenon describing the influence of endogenous electric fields on neuronal activity1,2. Although ephaptic coupling is deemed to contribute to computations in the brain1,3,4, the olfactory system5, the retina6,7, and to cardiac conduction8,9, and being associated with diseases like epilepsy10,11 and arrhythmia12,13, it is still poorly understood since it is notoriously difficult to investigate in vivo and in vitro. In vitro electrophysiology allows accessible and flexible experimentation, but circuits form randomly, leading to a lack of precision and reproducibility. Here, we present a method for reproducibly constructing human neuronal networks in vitro with single-cell precision. We constructed neuronal circuits from the bottom up by bringing their axons into close contact. This enabled us to measure the effects of ephaptic coupling and validate theoretical predictions, such as reduced action potential velocity, increased activity synchronization14-16 and reduced stimulation threshold17. Our precise measurements of electrophysiological activity support the importance of ephaptic coupling in neuronal circuit function. Printed neuronal circuits allow detailed in vitro studies of neuronal interactions and may serve as a platform for disease modeling related to synaptic, ephaptic, or myelination processes.

bioengineering↗

bioRxiv2022

Iterative transcription factor screening enables rapid generation of microglia-like cells from human iPSC

The ability to differentiate stem cells into human cell types is essential to define basic mechanisms and therapeutics, especially for cell types not routinely accessible by biopsies. But while engineered expression of transcription factors (TFs) identified through TF screens has been found to rapidly and efficiently produce some cell types, generation of other cell types that require complex combinations of TFs has been elusive. Here we develop an iterative, pooled single-cell TF screening method that improves the identification of effective TF combinations using the generation of human microglia-like cells as a testbed: Two iterations identified a combination of SPI1, CEBPA, FLI1, MEF2C, CEBPB, and IRF8 as sufficient to differentiate human iPSC into microglia-like cells in 4 days. Characterization of TF-induced microglia demonstrated molecular and functional similarity to primary microglia. We explore the use of single-cell atlas reference datasets to confirm identified TFs and how combining single-cell TF perturbation and gene expression data can enable the construction of causal gene regulatory networks. We describe what will be needed to fashion these methods into a generalized integrated pipeline, further ideas for enhancement, and possible applications.

bioengineering↗