Biology subjects

Bennet, D. A.

Publications and source records attributed to Bennet, D. A..

4 recordsLinked to original sources

bioRxiv2025

Phosphoproteomics unveils the signaling dynamics in neuronal cells stimulated with insulin and insulin-like growth factors

BackgroundGiven the role of metabolism in brain health and disease, investigating the role of insulin (INS) and insulin-like growth factors (IGFs) as potential therapeutic strategies for neurodegenerative diseases is currently underway. Yet, the signaling pathways associated with INS and IGFs in the brain remain elusive, particularly for the human brain. Unraveling these pathways is critical for harnessing their therapeutic potential in metabolism-associated brain disorders. MethodsThis study employed phosphoproteomics using human neuroblastoma cell line, SH-SY5Y, to unravel the signaling network of INS, IGF-1, and IGF-2. Briefly, cells were stimulated at 10 and 60-minutes with the ligands, followed by protein extraction, trypsin digestion, tandem mass tag (TMT)-labelling and phosphopeptides enrichment using an immobilized metal affinity chromatography (IMAC) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. Data was processed using R statistical software. Protein annotations were obtained from the UniprotKB database, and pathway enrichment analysis was performed using Ingenuity Pathway Analysis (IPA). ResultsPhosphoproteomics performed at 10 and 60 minutes identified 34358 phosphosites of which 3284 were significant at 10 min and 2374 at 60 min (p.adj <0.05) across all three ligands. Ligand stimulation induced modulation in phosphorylation at both the receptor level and downstream signaling targets at serine (S), threonine (T) and tyrosine (Y) residues. Phosphorylation of LIMA1-Y229, a regulator of actin-cytoskeletal function, was the most prominent Y phosphosite across all ligands. IPA identified Rho GTPase, the molecular switches that regulate actin cytoskeletal dynamics, as the most significantly enriched pathway, with IGF-1 predominantly driving phosphorylation of Rho GTPase effectors such as Rho Guanine nucleotide exchange factors (ARHGEFs), Rho GTPase activating proteins (ARHGAPs) and CDC42. Myocardin related transcription factor A (MRTFA), a transcriptional target of Rho GTPase, was increased in ligand-stimulated cells at 10 min, and inhibition of Rho/SRF pathway by CCG1423 prevents nuclear localization of IGF-1-induced MRTFA. ConclusionsThis study demonstrates that INS, IGF-1 and IGF-2 regulate Rho GTPase and MRTFA activation, thereby contributing to the control of actin cytoskeletal dynamics in neuronal cells. Given the role of INS and IGFs in neuronal survival and neurodegenerative conditions, elucidating the mechanisms is of critical importance, as it offers insights into disease pathogenesis and potential therapeutic targets.

biochemistry↗

bioRxiv2025

Reconstructed Cell-Type Specific Rhythms in Human Brain link Alzheimer's Pathology, Circadian Stress, and Ribosomal Disruption

Alzheimers disease (AD) disrupts behavioral circadian rhythms, but its effects on molecular rhythms in the human brain are poorly understood. Using single-nucleus RNA sequencing from post-mortem cortical samples, we informatically estimated the relative circadian phases of 409 persons with and without AD dementia. We then reconstructed circadian expression profiles across cell types. While core clock rhythms were preserved in AD, many cell-type specific circadian outputs were disrupted. Rhythms in ribosomal biogenesis and oxidative phosphorylation were dampened across cell types. Similar losses in ribosomal gene expression rhythms were observed in APP/PS1 mice, which showed further reductions in ribosomal protein expression and polysome-mediated translation after circadian desynchrony. Exploratory computational modeling reveals that altered translation may contribute to the increased circadian variability seen in AD patients. These findings reveal altered cell-type specific circadian output rhythms in the brains of AD affected patients, and highlight disrupted ribosomal rhythms as a feature of AD.

bioinformatics↗

bioRxiv2022

A cross-disease human microglial framework identifies disease-enriched subsets and tool compounds for microglial polarization.

Human microglia play a pivotal role in neurological diseases, but few targeted therapies that directly modulate microglial state or function exist due to an incomplete understanding of microglial heterogeneity. We use single-cell RNA sequencing to profile live human microglia from autopsies or surgical resections across diverse neurological diseases and central nervous system regions. We observe a central divide between oxidative and heterocyclic metabolism and identify subsets associated with antigen presentation, motility, and proliferation. Specific subsets are enriched in susceptibility genes for neurodegenerative diseases or the disease-associated microglial signature. We validate subtypes in situ with an RNAscope-immunofluorescence pipeline and leverage our dataset as a classification resource, finding that iPSC model systems recapitulate substantial in vivo heterogeneity. Finally, we identify and validate candidates for chemically inducing subtype-specific states in vitro, showing that Camptothecin downregulates the transcriptional signature of disease-enriched subsets and upregulates a signature previously shown to be depleted in Alzheimers.

neuroscience↗

bioRxiv2019

Deconvolving the contributions of cell-type heterogeneity on cortical gene expression

Complexity of cell-type composition has created much skepticism surrounding the interpretation of brain bulk-tissue transcriptomic studies. We generated paired tissue genome-wide gene expression data and immunohistochemistry data, enabling us to assess statistical methods for modeling and estimating cellular heterogeneity in the brain. We demonstrate that several algorithms that rely on single-cell and cell-sorted data to define cell marker gene sets yield accurate relative and absolute estimates of constituent cell-type proportions.

neuroscience↗