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Highley, J. R.

Publications and source records attributed to Highley, J. R..

4 recordsLinked to original sources

STMN2 protein depletion via translation deficits and stress granules and its compensation in ALS

STMN2 is an abundant neurospecific protein dysregulated in neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS). We previously reported that cellular stress can lead to STMN2 loss due to TDP-43 nuclear condensation. Here, using human and murine neuronal cell models, multiple pharmacological tools, single-molecule in situ analysis of mRNA localisation and translation, and longitudinal analysis of neuronal fitness/survival, we establish TDP-43-independent mechanisms of STMN2 depletion linked to stress response. We find that human STMN2 protein is extremely labile under acute high-magnitude stress. Early in stress, STMN2 is suppressed via activated proteasomal degradation, phosphorylation and translational repression by stress granules, independently of TDP-43 loss of function in splicing. We further show that STMN2 protein level is highly sensitive to chronic translation deficits, such as those elicited by prolonged low-grade stress. Finally, we demonstrate that STMN2 mRNA is upregulated in non-TDP ALS such as ALS-FUS, which may compensate for translation/stress granule defects in these disease subtypes. Consistent with the compensation hypothesis, STMN2 mRNA is also upregulated in the relatively spared (cortex), but not severely affected (spinal cord), CNS regions in ALS-TDP. In conclusion, our study implicates two common hallmarks of neurodegeneration, translation impairment and abnormal stress granules, in STMN2 depletion and reports an RNA-level compensation that fails in neurons with TDP-43 pathology. Our study supports the development of stress response targeting therapies in ALS with and without TDP-43 pathology.

cell biology↗

Secondary nucleation of α-Synuclein drives Mitochondria dysfunctions and Lewy body formation in Parkinson's Disease

The seeding of -Synuclein (Syn) is a key driver of Lewy pathology propagation in Parkinsons disease (PD) and forms the basis for recent diagnostic advances. However, it remains unclear how the structural and biochemical features of Syn seeds dictate their propagation efficiency, capacity to induce Lewy body formation, and resulting cellular toxicity. Using genetic and idiopathic PD cell models, we map the pathogenic cascade beginning with the seed-driven conversion of endogenous Syn, followed by impaired degradation, mitochondrial dysfunction, and ultimately Lewy body formation. By coupling kinetic modelling of aggregation with functional readouts, we identify secondary nucleation as the predominant mechanism generating toxic Syn aggregation intermediates, identifying the critical process that links seeding to pathology. Extending this framework to PD brain, we quantitatively correlate seeding capacity with the spatiotemporal spread and severity of Lewy pathology, revealing a mechanistic connection between Syn aggregation dynamics and disease progression at molecular, cellular, and anatomical levels. By unifying molecular mechanism with clinicopathological progression, our work identifies catalytic Syn fibrillar seeds as tractable targets for both disease-modifying therapy and biomarker development in PD. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=193 HEIGHT=200 SRC="FIGDIR/small/676873v1_ufig1.gif" ALT="Figure 1"> View larger version (79K): org.highwire.dtl.DTLVardef@1eca299org.highwire.dtl.DTLVardef@a714d4org.highwire.dtl.DTLVardef@1486db5org.highwire.dtl.DTLVardef@1aa895_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LISyn fibril-oligomer interplay drives mitochondrial abnormalities and Lewy pathology C_LIO_LIFibrillar Syn catalyse toxic aggregate formations via secondary nucleation C_LIO_LIPhosphorylated Syn evades lysosomal clearance and drives enhanced dysfunctions C_LIO_LISeeding capacity of Syn predicts Lewy pathology burden and disease progression C_LI

neuroscience↗

Molecular determinants of protein pathogenicity at the single-aggregate level

Determining the structure-function relationships of protein aggregates is a fundamental challenge in biology. These aggregates, whether formed in vitro, within cells, or in living organisms, present significant heterogeneity in their molecular features such as size, structure, and composition, making it difficult to determine how their structure influences their functions. Interpreting how these molecular features translate into functional roles is crucial for understanding cellular homeostasis and the pathogenesis of various debilitating diseases like Alzheimers and Parkinsons. In this study, we introduce a bottom-up approach to explore how variations in protein aggregates size, composition, post-translational modifications and point mutations profoundly influence their biological functions. Applying this method to Alzheimers and Parkinsons associated proteins, we uncover the mechanism of novel disease-relevant pathways and demonstrate how subtle alterations in composition and morphology can shift the balance between healthy and pathological states. Our findings establish a broadly applicable framework for investigating protein dysfunctions in various proteinopathies.

biochemistry↗

GRASPS: a simple-to-operate translatome technology reveals omics-hidden disease-associated pathways in TDP-43-related amyotrophic lateral sclerosis

Transcriptomes and translatomes measure genome-wide levels of total and ribosome-associated RNAs. A few hundred translatomes were reported over >250,000 transcriptomes highlighting the challenges of identifying translating RNAs. Here, we used a human isogenic inducible model of TDP-43-linked amyotrophic lateral sclerosis, which exhibits altered expression of thousands of transcripts, as a paradigm for the direct comparison of whole-cell, cytoplasmic and translating RNAs, showing broad uncoupling and poor correlation between disease-altered transcripts. Moreover, based on precipitation of endogenous ribosomes, we developed GRASPS (Genome-wide RNA Analysis of Stalled Protein Synthesis), a simple-to-operate translatome technology. Remarkably, GRASPS identified three times more differentially-expressed transcripts with higher fold changes and statistical significance, providing unprecedented opportunities for data modeling at stringent filtering and discovery of previously omics-missed disease-relevant pathways, which functionally map on dense gene regulatory networks of protein-protein interactions. Based on its simplicity and robustness, GRASPS is widely applicable across disciplines in the biotechnologies and biomedical sciences.

molecular biology↗