Search bioRxiv⌕ Search

Biology subjects

Kay, T.

Publications and source records attributed to Kay, T..

8 recordsLinked to original sources

Reconstruction of septin higher-order nano-size structures in ovarian cancer cells uncover susceptibility to the septin-targeting small molecule UR214-9

In cancer cells, septins assemble into enigmatic higher-order structures of 300-700 nanometers, including long needle-like filaments, thick perinuclear rings, and cytoplasmic bundles or aggregates. The absence of genetic or pharmacological tools to recapitulate these architectures in-vitro has impeded mechanistic studies of their formation, function, and therapeutic targeting. Here, first, determining the overexpression of septin-2 in epithelial ovarian cancer (EOC) and its association with increased mortalities and dependencies, we select SKOV-3 ovarian cancer cells as a tractable model in which septin supramolecular assemblies can be recreated in-vitro and interrogated. This system shows that the forchlorfenuron (FCF) analog UR214-9 remodels septin architecture, converting co-expressed human septin octamers (SEPT2-SEPT6-SEPT7-SEPT9-SEPT9-SEPT7-SEPT6-SEPT2) into large cytoplasmic aggregates. In parallel, transiently expressed SEPT2 is reorganized into septin-rich noodle-like filaments, perinuclear rings, and web-like networks encircling the nucleus upon UR214-9 treatment. Mechanistically, UR214-9 disrupts the incorporation of SEPT2, SEPT7, and SEPT9 into canonical septin hetero-octamers, resulting in assembly-defective or imperfect oligomers that preferentially reorganize into these aberrant higher-order structures. This aggregation likely prevents septin-2 migration during interphase-to-cleavage furrow transition in NRK-49F-SEPT2-EGFP homozygous cells and impacts SKOV-3 cytokinesis, cell proliferation, adhesion and invasion and migration while sparing ceramide transport to the Golgi, preserving ER and cis-Golgi structure. These effects manifested in reduced growth of ovarian, endometrial and breast cancer xenografts without attracting significant off-target engagements per the global transcriptomic analysis of JIMT1 breast cancer and PANC-1 pancreatic cells. UR214-9 treated animals showed observable safety in animals. Thus, a tool to recreate aberrant septin structures and identification of septins as a druggable cytoskeletal target for ovarian, endometrial, breast and pancreatic cancer by perturbing their hetero-octamerization assembly is presented. SignificanceWe provide a method to reconstruct the higher-order septin architecture observed in cancer cells, to study their assembly and functions. Intriguingly, cancer cells tolerate hetero-oligomeric septins lacking specific subunits, suggesting that compositionally deficient oligomers are not efficiently targeted for degradation, unlike unincorporated septin monomers in normal cells. This tolerance may enable accumulation of structurally aberrant septin complexes acquiring long-needles, rings or thick-aggregates in disease cells. We further show that septin oligomerization can be pharmacologically perturbed. By integrating structural, cellular, and energetic readouts using in-silico techniques, we establish a quantitative framework for septin-targeted modulation, generating UR214-9 as a new chemotype that disrupts septin oligomeric assembly via preventing incorporation of SEPT2/7/9, into canonical hetero-octamers, causes defects in cytokinesis, altered cell migration, viability, and remodels septin-actin architectures, ultimately impairing tumor cell growth. Thus, pharmacological targeting of septin assembly represents a tractable strategy to perturb septin-dependent cellular processes in cancer and neurodegenerative diseases with reported septin dysregulation.

cancer biology↗

FERAL: A Video-Understanding System for Direct Video-to-Behavior Mapping

Quantifying animal behavior often requires segmenting continuous actions into discrete, interpretable states, yet most automated pipelines infer actions from keypoint dynamics and are limited by keypoint tracking quality. Here we present FERAL (Feature Extraction for Recognition of Animal Locomotion), a supervised video-understanding toolkit that maps raw video directly to frame-level behavioral labels, bypassing the keypoint-extraction and pose-classification stages of conventional pipelines. Across benchmarks, FERAL matches or exceeds state-of-the-art pose- and video-based baselines. On the CalMS21 mouse social-interaction benchmark, it exceeds Googles VideoPrism using only a quarter of the training data. FERAL generalizes across species (apes, zebras, mice, ants, flies, and nematodes), recording conditions, and levels of organization, from single animals to social interactions and colony-scale collective behavior. Released as a user-friendly, open-source package, it integrates with existing analysis pipelines. By enabling scalable, species-agnostic behavioral quantification directly from raw video, FERAL broadens the experimental paradigms available for studying animal behavior.

animal behavior and cognition↗

Proinsulin C-peptide is a major source of HLA-DQ8 restricted HIPs recognized by human Islet-Infiltrating CD4+ T cells

Type 1 diabetes (T1D) is an autoimmune disease that develops when T cells destroy the pancreatic insulin-producing beta cells that reside in the pancreatic islets. Immune cells, including T cells infiltrate the islets and gradually destroy the beta cells. Human islet-infiltrating CD4+ T cells recognize peptide epitopes derived from proinsulin, particularly C-peptide. Hybrid Insulin peptides (HIPs) are neoepitopes formed by the fusion of two peptides derived from beta-cell granule proteins and are known to be the targets of pathogenic CD4+ T cells in the NOD mouse and human islet-infiltrating CD4+ T cells. Proinsulin is widely recognized as a central antigen in T1D, but its role in forming HIPs is unclear. We developed a method to functionally screen TCRs derived from human islet-infiltrating CD4+ T cells and applied this to the identification of new proinsulin-derived HIPs. We generated a library of 4,488 candidate HIPs formed by fusion of proinsulin fragments and predicted to bind to HLA-DQ8. This library was screened against 109 islet-infiltrating CD4+ T-cell TCRs isolated from four organ donors who had T1D. We identified 13 unique HIPs recognized by 9 different TCRs from two organ donors. HIP specific T-cell avatars responded specifically to a peptide extract from human islets. These new HIPs predominantly stimulated CD4+ T-cell proliferation in PBMCs from people with T1D in contrast to HLA-matched controls. This is the first unbiased functional, islet-infiltrating T-cell based, screen to identify proinsulin derived HIPs. It has revealed many new HIPs and a central role of proinsulin C-peptide in their formation. SUMMARYType 1 diabetes is an autoimmune disease caused by T cells destroying the pancreatic insulin-producing beta cells. The antigens/epitopes seen by disease promoting CD4+ T cells are poorly understood. Hybrid insulin peptides (HIPs) are a new class of CD4+ antigen recognized by pathogenic NOD mouse CD4+ T cells. In humans very few HIPs recognized by human islet-infiltrating CD4+ T cells are known. We show that proinsulin HIPs are recognized by human islet-infiltrating CD4+ T cells from T1D donors and describe 13 new HIPs formed by fusion of proinsulin peptides. This work shows that proinsulin, particularly C-peptide, is a major contributor to the pool HIPs recognized by human islet-infiltrating CD4+ T cells and are therefore central to autoimmunity in T1D.

immunology↗

Gut microbiota influences foraging onset without affecting division of labor and associated physiological hallmarks in honeybees

Gut microbes can impact cognition and behavior, but whether they regulate division of labor in animal societies is unknown. We addressed this question using honeybees since they exhibit division of labor between nurses and foragers and because their gut microbiota can be manipulated. Using automated behavioral tracking and controlling for co-housing effects, we show that gut microbes influence the age at which bees start foraging but have no effects on the time spent in a foraging area and number of foraging trips. Moreover, the gut microbiota did not influence hallmarks of behavioral maturation such as body weight, cuticular hydrocarbon (CHC) profile, hypopharyngeal gland size, and the proportion of bees maturing into foragers. Overall, this study shows that the honeybee gut microbiota does not affect division of labor but rather plays an important function in controlling the onset of bee foraging.

evolutionary biology↗

Blood DDIT4 and TRIM13 transcript levels mark the early stages of Machado-Joseph disease

Machado-Joseph disease (MJD) is a rare late-onset polyglutamine neurodegenerative disease caused by the expansion of a CAG repeat in the ATXN3 gene encoding the ataxin- 3 (ATXN3) protein. Several studies have identified changes in the abundance of select transcripts and proteins in blood samples of MJD mutation carriers. Here, we aimed to: 1) identify blood transcriptional changes that could be potential biomarkers of MJD from preclinical to symptomatic disease stages; 2) correlate levels of differentially expressed transcripts in blood of MJD carriers with demographic, genetics, and clinical features; and 3) evaluate whether the identified differential abundance of selected transcripts in blood of MJD subjects is preserved in post-mortem brains of MJD patients. Using real- time quantitative PCR, we observed consistent dysregulation of DDIT4, TRIM13 and P2RY13 transcript levels in blood samples of MJD subjects from different disease stages (from preclinical to symptomatic), and of patients from two cohorts with different backgrounds (Azores and Brazil). Importantly, combined blood DDIT4 and TRIM13 transcript levels display a very high accuracy to discriminate MJD carriers in preclinical stage, early-stage patients, and patients with more than five years of disease duration from respective controls (AUC=1.00, AUC=0.96, and AUC=0.90, respectively). Moreover, in the combined group of Azorean and Brazilian patients, blood levels of P2RY13 transcript correlate with age at onset, and abundance of DDIT4 and TRIM13 transcripts correlate with the CAG repeat size of the expanded ATXN3 allele. In the subgroup of early-stage Azorean patients, blood levels of TRIM13 transcripts correlate with age at disease onset. Interestingly, abundance of DDIT4, TRIM13 and P2RY13 proteins is also altered in brains of MJD patients. In summary, this work shows that blood DDIT4 and TRIM13 transcript levels are potentially blood-based biomarkers of MJD of special usefulness in marking preclinical and early stages of the disease, and points for common dysregulated processes involving DDIT4, TRIM13 and P2RY13 in the blood and the brain of MJD subjects.

neuroscience↗

Blood and cerebellar abundance of ATXN3 splice variants in spinocerebellar ataxia type 3/Machado-Joseph disease

BackgroundSpinocerebellar ataxia type 3 (SCA3)/Machado-Joseph disease (MJD) is an autosomal dominant polyglutamine disease. SCA3/MJD causative gene, ATXN3, is known to undergo alternative splicing (AS) and 54 transcripts are currently annotated. Differences in the toxicity of ataxin-3 protein isoforms, harbouring on its C-terminus two or three ubiquitin interacting motifs (UIMs), were previously uncovered, raising the hypothesis that specific ATXN3 splice variants play key roles in promoting the selective toxicity displayed in SCA3/MJD. MethodsUsing RNA-seq datasets we identified and determined the abundance of annotated ATXN3 transcripts in blood (n=60) and cerebellum (n=12) of SCA3/MJD subjects and controls. ResultsGlobally, the number and the abundance of individual ATXN3 transcripts were higher in the cerebellum than in the blood. While the most abundant transcript in the cerebellum was a protein with a coding sequence not defined of unknown function (ATXN3-208), the transcript with the highest abundance in blood was the reference transcript (ATXN3-251) which translates into an ataxin-3 isoform harboring three UIMs. Noteworthy, the abundance of ATXN3-251 and ATXN3-214, two out of the four transcripts that encode full-length ataxin-3 protein isoforms but differ in the C-terminus were strongly related with tissue expression specificity: ATXN3-251 (3UIM) was expressed in blood 50-fold more than in cerebellum, whereas ATXN3-214 (2UIM) was expressed in the cerebellum 20-fold more than in blood. ConclusionsThese findings provide new insights into the elucidation of ATXN3 AS in different tissues, contributing for a better understanding of SCA3/MJD pathogenesis and providing information for the development of future effective ATXN3 mRNA-lowering therapies.

genetics↗

Tissue-specific vulnerability to apoptosis in Machado-Joseph disease

Machado-Joseph disease (MJD) is a dominant neurodegenerative disease caused by an expanded CAG repeat in the ATXN3 gene encoding the ataxin-3 protein. Several cellular processes, including transcription and apoptosis, are disrupted in MJD. To gain further insights into the extent of dysregulation of mitochondrial apoptosis in MJD, and to evaluate if expression alterations of specific apoptosis genes/proteins could be used as transcriptional biomarkers of disease, the levels of BCL2, BAX and TP53 and the BCL2/BAX ratio, an indicator of susceptibility to apoptosis, were assessed in blood and post-mortem brain samples from MJD subjects and MJD transgenic mice and controls. While patients show reduced levels of blood BCL2 transcripts, this measurement displays low accuracy to discriminate patients from matched controls. However, increased levels of blood BAX transcripts and decreased BCL2/BAX ratio are associated with earlier onset, indicating a possible association with MJD pathogenesis. Post-mortem MJD brains show increased BCL2/BAX transcript ratio in the dentate cerebellar nucleus (DCN) and increased BCL2/BAX insoluble protein ratio in the DCN and pons, suggesting that in these regions, severely affected by degeneration in MJD, cells show signs of apoptosis resistance. Interestingly, a follow-up study of 18 patients further shows that blood BCL2 and TP53 transcript levels increase over time in MJD patients. Furthermore, while the similar levels of blood BCL2, BAX, and TP53 transcripts observed in preclinical subjects and controls is mimicked by pre-symptomatic MJD mice, the expression profile of these genes in patient brains is partially replicated by symptomatic MJD mice. Globally, our findings indicate that there is tissue-specific vulnerability to apoptosis in MJD subjects and that this tissue dependent behavior is partially replicated in a MJD mouse model.

neuroscience↗

The gut microbiota affects the social network of honeybees

The gut microbiota influences animal neurophysiology and behavior but has not previously been documented to affect emergent group-level behaviors. Here we combine gut microbiota manipulation with automated behavioral tracking of honeybee sub-colonies to show that the microbiota increases the rate and specialization of social interactions. Microbiota colonization was associated with higher abundances of one third of metabolites detected in the brain, including several amino acids, and a subset of these metabolites were significant predictors of social interactions. Colonization also affected brain transcriptional processes related to amino acid metabolism and epigenetic modification in a brain region involved in sensory perception. These results demonstrate that the gut microbiota modulates the emergent colony social network of honeybees, likely via changes in chromatin accessibility and amino acid biosynthesis.

animal behavior and cognition↗