Biology subjects

Avraham, O.

Publications and source records attributed to Avraham, O..

11 recordsLinked to original sources

bioRxiv2026

Single-Cell Atlas of Dorsal Root Ganglion Remodeling After Neuroma-Forming Nerve Injury Reveals Intervention-Specific Glial and Immune Programs

Peripheral nerve injury, whether caused by a cut, crush, or excessive stretch, can cause disordered regeneration and formation of a painful neuroma at the injury site. Regrowing axons may end in a swelling, hypersensitive nerve stump, producing pain along the affected nerve distribution that may outweigh sensory or motor deficits. Although neuromas are common, treatment outcomes are inconsistent and the mechanisms that initiate and sustain neuroma-associated pain remain poorly defined. Many surgical and non-surgical approaches (excision with transposition, capping, sclerosis, cryoablation) are used, yet comparative studies have not identified a superior technique, highlighting biological heterogeneity and knowledge gaps. A proximal nerve crush (axonotmetic injury) performed upstream of a neuroma or transection is proposed to reshape axonal growth and interrupt retrograde injury signaling, potentially shifting the system toward a more regenerative, pain-resolving state. However, how proximal crush remodels long-term programs in the dorsal root ganglion (DRG), and how these changes relate to neuroma-like outcomes, are unclear. Here, we build a single-cell atlas of DRG remodeling after neuroma-forming injury and compare it with two interventions- proximal nerve crush and nerve resection, using scRNA-seq. By resolving transcriptional responses across sensory neurons, satellite glial cells, Schwann cells, and macrophages, we identify intervention-specific glial and immune programs that distinguish permissive regeneration from persistent, pain-associated states and nominate pathways for mechanism-guided neuroma therapies.

neuroscience↗

bioRxiv2026

Single-cell transcriptomic atlas of glial cells in adult mouse dorsal root ganglia identifies multipotent progenitors

Sensory ganglia in the peripheral nervous system contain diverse glial populations that modulate sensory signaling, respond to injury and contribute to tissue homeostasis. Satellite glial cells (SGCs) surrounding neuronal soma in dorsal root ganglia (DRG) were suggested to retain developmental potential, but the identity of progenitor cells remains undefined. To capture glial diversity, we assembled a comprehensive single-cell transcriptomic atlas by integrating over 200,000 DRG and sciatic nerve transcriptomes across multiple studies and injury paradigms. High-resolution clustering resolved 28 cell types and demonstrated significant transcriptional heterogeneity within SGCs and Schwann cells, including repair and reactive sub-states. We identified two distinct populations of progenitor cells that reflect different states in the progenitor trajectory. Functionally, progenitor cell numbers increase after injury, and endothelin signaling regulates glial cell proliferation early in development. This integrated DRG and peripheral nerve atlas represents an essential resource for exploring new features of the peripheral nervous system.

neuroscience↗

bioRxiv2025

Macrophage depletion restores the DRG microenvironment and prevents axon degeneration in bortezomib-induced neuropathy

Peripheral neuropathy is a common and debilitating side effect of the chemotherapeutic bortezomib (BTZ). To explore the mechanisms underlying BTZ-induced neuropathy (BIPN), we developed a mouse model that replicates the route of administration and approximates the prolonged BTZ exposure experienced by patients. We find that male mice treated with BTZ experience more severe sensorimotor dysfunction and axon loss compared to females and observed similar results when analyzing human data. Using single cell RNA-sequencing, we reveal that BTZ significantly alters the dorsal root ganglia (DRG) microenvironment in mice, producing pronounced sex-specific changes in satellite glial cells (SGCs) in males and females and dysregulation of the extracellular matrix (ECM), particularly in males. These changes are accompanied by expansion of macrophages, which is more pronounced in males. We identify four macrophage subtypes in the DRG, including a pro-fibrotic population that is exclusively associated with BIPN. Depletion of macrophages via anti-CSF1R treatment in male mice prevents BTZ-induced SGC activation and aberrant collagen deposition in DRGs, potently preserves peripheral axons, and improves functional outcomes. These findings highlight SGCs, neuroinflammation and dysregulation of the ECM as drivers of sex-specific differences in BIPN and suggest that targeting neuroinflammation is a promising therapeutic strategy to treat this disease. One Sentence SummaryInflammation and neurofibrosis in DRGs underlie sex-specific differences in bortezomib-induced neuropathy and are promising treatment targets.

neuroscience↗

bioRxiv2023

Protein language models can capture protein quaternary state

BackgroundDetermining a proteins quaternary state, i.e. how many monomers assemble together to form the functioning unit, is a critical step in protein characterization, and deducing it is not trivial. Many proteins form multimers for their activity, and over 50% are estimated to naturally form homomultimers. Experimental quaternary state determination can be challenging and require extensive work. To complement these efforts, a number of computational tools have been developed for quaternary state prediction, often utilizing experimentally validated structural information. Recently, dramatic advances have been made in the field of deep learning for predicting protein structure and other characteristics. Protein language models that apply computational natural-language models to proteins successfully capture secondary structure, protein cell localization and other characteristics, from a single sequence. Here we hypothesize that information about the protein quaternary state may be contained within protein sequences as well, allowing us to benefit from these novel approaches in the context of quaternary state prediction. ResultsWe generated embeddings for a large dataset of quaternary state labels, extracted from the curated QSbio dataset. We then trained a model for quaternary state classification and assessed it on a non-overlapping set of distinct folds (ECOD family level). Our model, named QUEEN (QUaternary state prediction using dEEp learNing), performs worse than approaches that include information from solved crystal structures. However, we show that it successfully learned to distinguish multimers from monomers, and that the specific quaternary state is predicted with moderate success, better than a simple model that transfers annotation based on sequence similarity. Our results demonstrate that complex, quaternary state related information is included in these embeddings. ConclusionsQUEEN is the first to investigate the power of embeddings for the prediction of the quaternary state of proteins. As such, it lays out the strength as well as limitations of a sequence-based protein language model approach compared to structure-based approaches. Since it does not require any structural information and is fast, we anticipate that it will be of wide use both for in-depth investigation of specific systems, as well as for studies of large sets of protein sequences. A simple colab implementation is available at: https://colab.research.google.com/github/Orly-A/QUEEN_prediction/blob/main/QUEEN_prediction_notebook.ipynb.

bioinformatics↗

bioRxiv2021

Tandem WW/PPxY motif interactions in WWOX: the multifaceted role of the second WW domain

Class I WW domains mediate protein interactions by binding short linear PPxY motifs. They occur predominantly as tandem repeats, and their target proteins often contain multiple PPxY motifs, but the interplay of WW/peptide interactions is not always intuitive. WW domain-containing oxidoreductase (WWOX) protein harbors two WW domains: unstable WW1 capable of PPxY binding, and well-folded but mutated WW2 that cannot bind such motifs. WW2 is considered to act as a WW1 chaperone, but the underlying mechanism remains to be revealed. Here we combine NMR, ITC and structural modeling to elucidate the role of both WW domains in WWOX binding to single and double motif peptides derived from its substrate ErbB4. Using NMR we identified an interaction surface between the two domains that supports a WWOX conformation that is compatible with peptide substrate binding. ITC and NMR measurements reveal that while binding affinity to a single motif is marginally increased in the presence of WW2, affinity to a dual motif peptide increases tenfold, and that WW2 can directly bind double motif-peptides using its canonical binding site. Finally, differential binding of peptides in a mutagenesis study is consistent with a parallel orientation binding to the WW1-WW2 tandem domain, agreeing with structural models of the interaction. Our results reveal the complex nature of tandem WW domain organization and substrate binding, highlighting the contribution of WWOX WW2 to both stability and binding. This opens the way to assess how evolution can utilize the multivariate nature of binding to fine-tune interactions for specific biological functions.

biophysics↗

bioRxiv2021

PatchMAN docking: Modeling peptide-protein interactions in the context of the receptor surface

Peptide docking can be perceived as a subproblem of protein-protein docking. However, due to the short length and flexible nature of peptides, many do not adopt one defined conformation prior to binding. Therefore, to tackle a peptide docking problem, not only the relative orientation between the two partners, but also the bound conformation of the peptide needs to be modeled. Traditional peptide-centered approaches use information about the peptide sequence to generate a representative conformer ensemble, which can then be rigid body docked to the receptor. Alternatively, one may look at this problem from the viewpoint of the receptor, namely that the protein surface defines the peptide bound conformation.We present PatchMAN (Patch-Motif AligNments), a novel peptide docking approach which uses structural motifs to map the receptor surface with backbone scaffolds extracted from protein structures. On a non-redundant set of protein-peptide complexes, starting from free receptor structures, PatchMAN successfully models and identifies near-native peptide-protein complexes in 62% / 81% within 2.5[A] / 5[A] RMSD, with corresponding sampling in 81% / 100% of the cases, outperforming other approaches. PatchMAN leverages the observation that structural units of peptides with their binding pocket can be found not only within interfaces, but also within monomers. We show that the conformation of the bound peptide is sampled based on the structural context of the receptor only, without taking into account any sequence information. Beyond peptide docking, this approach opens exciting new avenues to study principles of peptide-protein association, and to the design of new peptide binders.

bioinformatics↗

bioRxiv2021

Harnessing protein folding neural networks for peptide-protein docking

Highly accurate protein structure predictions by the recently published deep neural networks such as AlphaFold2 and RoseTTAFold are truly impressive achievements, and will have a tremendous impact far beyond structural biology. If peptide-protein binding can be seen as a final complementing step in the folding of a protein monomer, we reasoned that these approaches might be applicable to the modeling of such interactions. We present a simple implementation of AlphaFold2 to model the structure of peptide-protein interactions, enabled by linking the peptide sequence to the protein c-terminus via a poly glycine linker. We show on a large non-redundant set of 162 peptide-protein complexes that peptide-protein interactions can indeed be modeled accurately. Importantly, prediction is fast and works without multiple sequence alignment information for the peptide partner. We compare performance on a smaller, representative set to the state-of-the-art peptide docking protocol PIPER-FlexPepDock, and describe in detail specific examples that highlight advantages of the two approaches, pointing to possible further improvements and insights in the modeling of peptide-protein interactions. Peptide-mediated interactions play important regulatory roles in functional cells. Thus the present advance holds much promise for significant impact, by bringing into reach a wide range of peptide-protein complexes, and providing important starting points for detailed study and manipulation of many specific interactions.

bioinformatics↗

bioRxiv2021

Sylites: Multipurpose markers for the visualization of inhibitory synapses

We introduce Sylites - small and versatile fluorogenic affinity probes for high-contrast visualization of inhibitory synapses. Having stoichiometric labeling and exceptional selectivity for neuronal gephyrin, a hallmark protein of the inhibitory post-synapse, Sylites enable superior synapse staining compared with antibodies. Combined with super-resolution microscopy, Sylites allow precise nanoscopic measurements of the synapse. In brain tissue, Sylites reveal the three-dimensional distribution of inhibitory synapses within just an hour.

neuroscience↗

bioRxiv2021

Profiling the molecular signature of Satellite Glial Cells at the single cell level reveals high similarities between rodent and human

Peripheral sensory neurons located in dorsal root ganglia relay sensory information from the peripheral tissue to the brain. Satellite glial cells (SGC) are unique glial cells that form an envelope completely surrounding each sensory neuron soma. This organization allows for close bi-directional communication between the neuron and it surrounding glial coat. Morphological and molecular changes in SGC have been observed in multiple pathological conditions such as inflammation, chemotherapy-induced neuropathy, viral infection and nerve injuries. There is evidence that changes in SGC contribute to chronic pain by augmenting neuronal activity in various rodent pain models. SGC also play a critical role in axon regeneration. Whether findings made in rodent model systems are relevant to human physiology have not been investigated. Here we present a detailed characterization of the transcriptional profile of SGC in mouse, rat and human at the single cell level. Our findings suggest that key features of SGC in rodent models are conserved in human. Our study provides the potential to leverage rodent SGC properties and identify potential targets in humans for the treatment of nerve injuries and alleviation of painful conditions.

neuroscience↗

bioRxiv2020

Profiling sensory neuron microenvironment after peripheral and central axon injury reveals key pathways for axon regeneration

Sensory neurons with cell bodies in dorsal root ganglia (DRG) represent a useful model to study axon regeneration. Whereas regeneration and functional recovery occurs after peripheral nerve injury, spinal cord injury or dorsal root injury is not followed by regenerative outcomes. Regeneration of sensory axons in peripheral nerves is not entirely cell autonomous. Whether the DRG microenvironment influences the different regenerative capacities after injury to peripheral or central axons remains largely unknown. To answer this question, we performed a single cell transcriptional profiling of mouse DRG in response to peripheral (sciatic nerve crush) and central axon injuries (dorsal root crush and spinal cord injury). Each cell type responded differently to the three types of injuries. All injuries increased the proportion of a cell type that shares features of both immune cells and glial cells. A distinct subset of satellite glial cells (SGC) appeared specifically in response to peripheral nerve injury. Activation of the PPAR signaling pathway in SGC, which promotes axon regeneration after peripheral nerve injury, failed to occur after central axon injuries. Treatment with the FDA-approved PPAR agonist fenofibrate increased axon regeneration after dorsal root injury. This study provides a map of the distinct DRG microenvironment responses to peripheral and central injuries at the single cell level and highlights that manipulating non-neuronal cells could lead to avenues to promote functional recovery after CNS injuries or disease.

neuroscience↗

bioRxiv2019

Fatty acid synthesis in satellite glial cell promotes regenerative growth in sensory neurons

Peripheral sensory neurons switch to a regenerative state after nerve injury to enable axon regeneration and functional recovery. Intrinsic mechanisms operating in sensory neurons are known to regulate nerve repair, but whether satellite glial cells (SGC), which completely envelop the neuronal soma, undergo injury-evoked transcriptional changes and contribute to nerve regeneration remains unexplored. This is largely due to the lack of molecular and genetic tools to study SGC. Using a single cell RNAseq approach to define the transcriptional profile of SGC in naive and injured conditions, we reveal that these cells are distinct from Schwann cells and share similarities with astrocytes. We find that nerve injury elicits gene expression changes in SGC, which are related to fatty acid synthesis and peroxisome proliferator-activated receptor (PPAR) signaling. Conditional deletion of Fatty acid synthase (Fasn), the committed enzyme in de novo fatty acid synthesis, in SGC, impairs axon regeneration. The PPAR agonist fenofibrate rescues the impaired axon regeneration in mice lacking Fasn in SGC, indicating that PPAR functions downstream of fatty acid synthesis in SGC to promote axon regeneration. These results identify fatty acid synthesis in SGC as a fundamental novel mechanism mediating axon regeneration in adult peripheral nerves. These results also highlight that the sensory neuron and its surrounding glial coat form a functional unit that orchestrates nerve repair.

neuroscience↗