Search bioRxivSearch

bioRxiv · 10.1101/294215

UNC-6/Netrin and its Receptors UNC-5 and UNC-40/DCC Control Growth Cone Polarity, Microtubule Accumulation, and Protrusion

Abstract

Many axon guidance ligands and their receptors have been identified, but it is still unclear how these ligand-receptor interactions regulate events in the growth cone, such as protrusion and cytoskeletal arrangement, during directed outgrowth in vivo. In this work, we dissect the multiple and complex effects of UNC-6/Netrin on the growth cone. Previous studies showed that in C. elegans, the UNC-6/Netrin receptor UNC-5 regulates growth cone polarity, as evidenced by loss of asymmetric dorsal F-actin localization and protrusion in unc-5 mutants. UNC-5 and another UNC-6/Netrin receptor UNC-40/DCC also regulate the extent of protrusion, with UNC-40/DCC driving protrusion and UNC-5 inhibiting protrusion. In this work we analyze the roles of UNC-6/Netrin, UNC-40/DCC, and UNC-5 in coordinating growth cone F-actin localization, microtubule organization, and protrusion that results in directed outgrowth away from UNC-6/Netrin. We find that a previously-described pathway involving the UNC-73/Trio Rac GEF and UNC-33/CRMP that acts downstream of UNC-5, regulates growth cone dorsal asymmetric F-actin accumulation and protrusion. unc-5 and unc-33 mutants also display excess EBP-2::GFP puncta, suggesting that MT + end accumulation is important in growth cone polarity and/or protrusion. unc-73 Rac GEF mutants did not display excess EBP-2::GFP puncta despite larger and more protrusive growth cones, indicating a MT-independent mechanism to polarize the growth cone and to inhibit protrusion, possibly via actin. Finally, we show that UNC-6/Netrin and UNC-40/DCC are required for excess protrusion in unc-5 mutants, but not for loss of F-actin asymmetry or MT + end accumulation, indicating that UNC-6/Netrin and UNC-40/DCC are required for protrusion downstream of F-actin asymmetry and MT + end entry. Our data suggest a model in which UNC-6/Netrin polarizes the growth cone via UNC-5, and then regulates a balance of pro- and anti-protrusive forces driven by UNC-40 and UNC-5, respectively, that result in directed protrusion and outgrowth.

Source connections

Explore related subjects

Keep this discovery

BibTeXRIS

Gujar, M. R., Sundararajan, L., Stricker, A. M., Lundquist, E. A.. 2018-04-03. UNC-6/Netrin and its Receptors UNC-5 and UNC-40/DCC Control Growth Cone Polarity, Microtubule Accumulation, and Protrusion. https://doi.org/10.1101/294215

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience