Biology subjects

Slosberg, J.

Publications and source records attributed to Slosberg, J..

5 recordsLinked to original sources

bioRxiv2026

Loss of enteric BDNF TrkB signaling and VIPergic dysfunction underlie gastrointestinal dysmotility in a Mecp2-null mouse model of Rett syndrome

Gastrointestinal (GI) dysmotility is a highly prevalent and clinically significant feature of Rett syndrome (RTT), yet its underlying mechanisms remain poorly defined. Here, we investigated these mechanisms of GI dysmotility in a Mecp2-null mouse model of RTT. First, we observed that MeCP2 was expressed in murine myenteric ganglia, including in enteric neurons and that Mecp2-null males developed maturation-associated functional regression in their GI motility. In dysmotile mice, longitudinal muscle-myenteric plexus tissue showed marked reductions in enteric Bdnf isoforms IV, VI, and II, whereas expression of the BDNF receptor isoforms TrkB.FL and TrkB.T1 was not significantly altered, consistent with reduced enteric BDNF-TrkB signaling. Despite impaired GI motility, Mecp2-null mice showed no significant changes in total enteric neuronal density, nitrergic neuronal abundance, or expression of Nos1, Chat, and Uchl1. In contrast, Vip expression was significantly reduced, while expression of VIP receptor genes: Vipr1 and Vipr2 was increased, indicating disrupted VIPergic signaling. Integration with publicly available enteric single-cell/nucleus datasets and targeted qRT-PCR further suggested altered inhibitory neuronal subtype composition, with reduced Vip+ Cartpt+ signatures and increased Nfia expression, suggesting that MeCP2 loss differentially affects distinct inhibitory neuronal subpopulations. Finally, conditional loss of TrkB.FL in neural crest-derived cells reduced Vip expression without recapitulating the full Mecp2-null VIPergic phenotype, indicating that impaired BDNF-TrkB signaling contributes to, but does not completely explain, the GI dysmotility in this model of RTT. Together, these findings identify enteric BDNF-TrkB and VIPergic dysfunction as key mechanisms underlying GI dysmotility in RTT.

neuroscience↗

bioRxiv2024

Transcriptional profiles of murine oligodendrocyte precursor cells across the lifespan

Oligodendrocyte progenitor cells (OPCs) are highly dynamic, widely distributed glial cells of the central nervous system (CNS) that are responsible for generating myelinating oligodendrocytes during development. By also generating new oligodendrocytes in the adult CNS, OPCs allow formation of new myelin sheaths in response to environmental and behavioral changes and play a crucial role in regenerating myelin following demyelination (remyelination). However, the rates of OPC proliferation and differentiation decline dramatically with aging, which may impair homeostasis, remyelination, and adaptive myelination during learning. To determine how aging influences OPCs, we generated a novel transgenic mouse line that expresses membrane-anchored EGFP under the endogenous promoter/enhancer of Matrilin-4 (Matn4-mEGFP) and performed high-throughput single-cell RNA sequencing, providing enhanced resolution of transcriptional changes during key transitions from quiescence to proliferation and differentiation across the lifespan. Comparative analysis of OPCs isolated from mice aged 30 to 720 days, revealed that aging induces distinct inflammatory transcriptomic changes in OPCs in different states, including enhanced activation of HIF-1 and Wnt pathways. Inhibition of these pathways in acutely isolated OPCs from aged animals restored their ability to differentiate, suggesting that this enhanced signaling may contribute to the decreased regenerative potential of OPCs with aging. This Matn4-mEGFP mouse line and single-cell mRNA datasets of cortical OPCs across ages help to define the molecular changes guiding their behavior in various physiological and pathological contexts.

neuroscience↗

bioRxiv2021

Identifying Gene-wise Differences in Latent Space Projections Across Cell Types and Species in Single Cell Data using scProject

Latent space techniques have emerged as powerful tools to identify genes and gene sets responsible for cell-type and species-specific differences in single-cell data. Transfer learning methods can compare learned latent spaces across biological systems. However, the robustness that comes from leveraging information across multiple genes in transfer learning is often attained at the sacrifice of gene-wise precision. Thus, methods are needed to identify genes, defined as important within a particular latent space, that significantly differ between contexts. To address this challenge, we have developed a new framework, scProject, and a new metric, projectionDrivers, to quantitatively examine latent space usage across single-cell experimental systems while concurrently extracting the genes driving the differential usage of the latent space between defined contrasts. Here, we demonstrate the efficacy, utility, and scalability of scProject with projectionDrivers and provide experimental validation for predicted species-specific differences between the developing mouse and human retina.

bioinformatics↗

bioRxiv2021

Universal prediction of cell cycle position using transfer learning

BackgroundThe cell cycle is a highly conserved, continuous process which controls faithful replication and division of cells. Single-cell technologies have enabled increasingly precise measurements of the cell cycle both as a biological process of interest and as a possible confounding factor. Despite its importance and conservation, there is no universally applicable approach to infer position in the cell cycle with high-resolution from single-cell RNA-seq data. ResultsHere, we present tricycle, an R/Bioconductor package, to address this challenge by leveraging key features of the biology of the cell cycle, the mathematical properties of principal component analysis of periodic functions, and the use of transfer learning. We estimate a cell cycle embedding using a fixed reference dataset and project new data into this reference embedding; an approach that overcomes key limitations of learning a dataset dependent embedding. Tricycle then predicts a cell-specific position in the cell cycle based on the data projection. The accuracy of tricycle compares favorably to gold-standard experimental assays, which generally require specialized measurements in specifically constructed in vitro systems. Using internal controls which are available for any dataset, we show that tricycle predictions generalize to datasets with multiple cell types, across tissues, species and even sequencing assays. ConclusionsTricycle generalizes across datasets, is highly scalable and applicable to atlas-level single-cell RNA-seq data.

genomics↗

bioRxiv2020

Neural crest-derived neurons are replaced by a newly identified mesodermal lineage in the post-natal and aging enteric nervous system

The enteric nervous system (ENS), a collection of neural cells contained in the wall of the gut, is of fundamental importance to gastrointestinal and systemic health. According to the prevailing paradigm, the ENS arises from progenitor cells migrating from the neural crest and remains largely unchanged thereafter. Here, we show that the lineage composition of maturing ENS changes with time, with a decline in the canonical lineage of neural-crest derived neurons and their replacement by a newly identified lineage of mesoderm-derived neurons. Single cell transcriptomics and immunochemical approaches establish a distinct expression profile of mesoderm-derived neurons. The dynamic balance between the proportions of neurons from these two different lineages in the post-natal gut is dependent on the availability of their respective trophic signals, GDNF-RET and HGF-MET. With increasing age, the mesoderm-derived neurons become the dominant form of neurons in the ENS, a change associated with significant functional effects on intestinal motility which can be reversed by GDNF supplementation. Transcriptomic analyses of human gut tissues show reduced GDNF-RET signaling in patients with intestinal dysmotility which is associated with reduction in neural crest-derived neuronal markers and concomitant increase in transcriptional patterns specific to mesoderm-derived neurons. Normal intestinal function in the adult gastrointestinal tract therefore appears to require an optimal balance between these two distinct lineages within the ENS.

neuroscience↗