Biology subjects

Watts, C.

Publications and source records attributed to Watts, C..

11 recordsLinked to original sources

bioRxiv2026

The Kifc3 Motor Protein Controls Centrosomal Factor Cep192 in Ontogenic Coordination of Megakaryocyte Development

The distinct features of neonatal megakaryocytes, high proliferation and inefficient platelet production, have clinical repercussions. A diminished capacity for stress thrombopoiesis, the response to acute drops in platelet counts, contributes to the high prevalence of thrombocytopenia in premature infants and to impaired platelet recovery after umbilical cord blood stem cell transplantation. High proliferation also promotes leukemogenesis in babies with Down Syndrome (DS). The transcriptional coactivator Mkl1/MrtfA participates in programming the ontogenic shift from fetal/neonatal to adult-type megakaryopoiesis; in this activity it is opposed by the DS-associated kinase Dyrk1a. In a screen for downstream ontogenic effectors in human progenitors, we identified the kinesin Kifc3 as a factor selectively decreased in adult megakaryocytes and whose knockdown in neonatal megakaryocytes induced adult-type morphogenesis with augmented platelet release. Kifc3 acts as a minus-end directed motor for centrosomal delivery of various cargos. Centrosomal release of Cep192 has recently been found induce cellular process extensions through actin remodeling, reminiscent of megakaryocyte platelet release. In our studies, Cep192 showed striking upregulation and dispersion in adult vs neonatal megakaryocytes, and Kifc3 knockdown recapitulated this effect in neonatal megakaryocytes. A role for Cep192 in promoting megakaryocyte morphogenesis, distinct from its role in centrosome biogenesis, was demonstrated in vitro and in vivo. In silico screening for Kifc3 inhibitors identified a small molecule that affected neonatal megakaryocytes similarly to Kifc3 knockdown, indicating feasibility for therapeutic argeting of the Kifc3-Cep192 pathway in clinical conditions associated with fetal-type megakaryopoiesis. Key PointsO_LIThe motor protein Kifc3 dictates megakaryocyte ontogeny in association with its control of the centrosomal actin-remodeling factor Cep192. C_LIO_LIKnockdown or small molecule targeting of Kifc3 enhances neonatal megakaryocyte morphogenesis and thrombopoiesis. C_LI

developmental biology↗

bioRxiv2025

Mechanistic evidence that motif-gated domain recognition drives contact prediction in protein language models

Protein language models (pLMs) achieve state-of-the-art performance on protein structure and function prediction tasks, yet their internal computations re-main opaque. Sparse autoencoders (SAEs) have been used to recover sparse features, called latents, from pLM layer representations, whose activations cor-relate with known biological concepts. However, prior work has not established which model concepts are causally necessary for pLM performance on down-stream tasks. Here, we adapt causal activation patching to the pLM setting and perform it in SAE latent space to extract the minimal circuit responsible for accuracy in a contact prediction task for two case study proteins. We observe that preserving only a tiny fraction of latent-token pairs (0.022% and 0.015%) is sufficient to retain contact prediction accuracy in a residue unmasking experiment. Our circuit indicates a two-step computation in which early-layer motif detectors respond to short local sequence patterns, gating mid-to-late domain detectors which are selective for protein domains and families. Path-level ab-lations confirm the causal dependence of domain latents on upstream motif latents. To evaluate these components quantitatively, we introduce two diagnostics: a Motif Conservation Test and a Domain Selectivity Framework that supports hypothesis-driven tests. All candidate motif-detector latents pass the conservation test, and 18/23 candidate domain-detector latents achieve AUROC [≥]0.95. To our knowledge, this is the first circuits-style causal analysis for pLMs, pin-pointing the motifs, domains, and motif-domain interactions that drive contact prediction in two specific case studies. The framework introduced herein will enable future mechanistic dissection of protein language models. Code available at https://github.com/NainaniJatinZ/plm_circuits

bioinformatics↗

bioRxiv2025

Asparagine endopeptidase promotes radioresistance in breast cancer through ATR pathway modulation

BackgroundTumor resistance represents a major challenge in the current oncology landscape. Asparagine endopeptidase (AEP) overexpression correlates with worse prognosis and reduced overall survival in most human solid tumors. However, the underlying mechanisms of the connection between AEP and reduced overall survival in cancer patients remain unclear. MethodsHigh-throughput proteomics, cellular and molecular biology approaches and clinical data from breast cancer (BC) patients were used to identify novel, biologically relevant AEP targets. Immunoblotting and qPCR analyses were used to quantify mRNA and protein levels. Flow cytometry, confocal microscopy, chemical inhibitors, siRNA- and shRNA-silencing and DNA repair assays were used as functional assays. In-silico analyses using the TCGA BC dataset and immunofluorescence assays in an independent cohort of invasive ductal (ID) BC patients were used to validate the clinical relevance of our findings. ResultsHere we showed a dual role for AEP in genomic stability and radiotherapy resistance in BC patients by suppressing ATR and PPP1R10 levels. Reduced ATR and PPP1R10 levels were found in BC patients expressing high AEP levels and correlated with worst prognosis. Mechanistically, AEP suppresses ATR levels, reducing DNA damage-induced cell death, and PPP1R10 levels, promoting Chek1/P53 cell cycle checkpoint activation, allowing BC cells to efficiently repair DNA. Functional studies revealed AEP-deficiency results in genomic instability, increased DNA damage signaling, reduced Chek1/P53 activation, impaired DNA repair and cell death, with phosphatase inhibitors restoring the DNA damage response in AEP-deficient BC cells. Furthermore, AEP inhibition sensitized BC cells to the chemotherapeutic reagents cisplatin and etoposide. Immunofluorescence assays in an independent cohort of IDBC patients showed increased AEP levels in ductal cells. These analyses showed that higher AEP levels in radioresistant IDBC patients result in ATR nuclear eviction, revealing AEPhigh/ATRlow protein levels as an efficient predictive biomarker for the stratification of radioresistant patients. ConclusionThe newly identified AEP/ATR/PPP1R10 axis plays a dual role in genomic stability and radiotherapy resistance in BC. Our work provides new clues to the underlying mechanisms of tumor resistance and strong evidence validating the AEP/ATR axis as a novel predictive biomarker and therapeutic target for the stratification and treatment of radioresistant BC patients.

cancer biology↗

bioRxiv2022

Differential response of patient-derived primary glioblastoma cells to metabolic and adhesion inhibitors

PurposeThis study aims to investigate Glioblastoma (GBM) cellular response to adhesion and metabolic inhibitors in the context of cells migration and cell-matrix adhesion properties. GBM is the most common incurable brain tumour. Decades of work into GBM chemical and molecular classification have identified mechanisms of drug resistance. Inhibitors targeting cancer cell migration and proliferation rarely take into consideration the heterogeneous migration property amongst cells, which may impact patients response to treatment. MethodsTissue samples were obtained from spatially distinct locations with different 5-aminolevulinic acid (5-ALA) fluorescent intensities, strong strongly fluorescent tumour cores, a weak fluorescent tumour rim, and nonfluorescent tumour margins. Samples were previously shown to be associated with different motility and adhesion properties. We tested tumour cells response to adhesion and metabolic inhibitors using metabolic assays. Cell survival was also monitored using time-lapse microscopy, while cultured on low-modulus polydimethylsiloxane representative of the stiffness of brain tissue. ResultsMetabolic viability assays, MTT and Cell Titer, showed substantial heterogeneity in drug potency. Highly fluorescent tumour core cells were significantly more resistant to an F0F1 ATP synthase inhibitor (Gboxin), and a FAK inhibitor (GSK2256098), and cell proliferation ceased post-treatment in vitro. Cells derived from non-fluorescent tumour margins exhibited higher potency for the ATP synthase inhibitor (Gboxin). However, cell proliferation persisted post-treatment. ConclusionOur study suggests that the adhesive and migration properties of cells account for the sensitivity to therapeutics in different regions of the tumour in individual patients and between patients with GBM.

neuroscience↗

bioRxiv2021

Longitudinal analysis of diffuse glioma reveals cell state dynamics at recurrence associated with changes in genetics and the microenvironment

To interrogate the factors driving therapy resistance in diffuse glioma, we collected and analyzed RNA and/or DNA sequencing data from temporally separated tumor pairs of 292 adult patients with IDH-wild-type or IDH-mutant glioma. Tumors recurred in distinct manners that were dependent on IDH mutation status and attributable to changes in histological feature composition, somatic alterations, and microenvironment interactions. Hypermutation and acquired CDKN2A deletions associated with an increase in proliferating stem-like malignant cells at recurrence in both glioma subtypes, reflecting active tumor growth. IDH-wild-type tumors were more invasive at recurrence, and their malignant cells exhibited increased expression of neuronal signaling programs that reflected a possible role for neuronal interactions in promoting glioma progression. Mesenchymal transition was associated with the presence of a specific myeloid cell state defined by unique ligand-receptor interactions with malignant cells. Collectively, our results uncover recurrence-associated changes that could be targetable to shape disease progression following initial diagnosis.

cancer biology↗

bioRxiv2021

A vascularized tumoroid model for studying human glioblastoma angiogenesis

Glioblastoma (GBM) angiogenesis is critical for tumor growth and recurrence, making it a compelling therapeutic target. Here, a disease-relevant, vascularized tumoroid in vitro model with stem-like features and stromal surrounds is reported. The model is used to recapitulate how individual components of the GBMs complex brain microenvironment such as hypoxia, vasculature-related stro-mal cells and growth factors support GBM angiogenesis. It is scalable, tractable, cost-effective and can be used with biologically-derived or biomimetic matrices. Patient-derived primary GBM cells are found to closely participate in blood vessel formation in contrast to a GBM cell line containing differentiated cells. Exogenous growth factors amplify this effect under normoxia but not at hypoxia suggesting that a significant amount of growth factors is already being produced under hypoxic conditions. Under hypoxia, primary GBM cells and umbilical vein endothelial cells are found to strongly co-localize in a mosaic pattern to form sprouting vascular networks, with GBM cells acquiring an endothelial-like behaviour, which has been reported to occur in vivo. These findings demonstrate that our 3D tumoroid in vitro model exhibits biomimetic attributes that may permit its use as a preclinical model in studying microenvironment cues of tumor angiogenesis.

bioengineering↗

bioRxiv2020

Spatial heterogeneity of cell-matrix adhesive forces predicts human glioblastoma migration

BackgroundGlioblastoma (GBM) is a highly aggressive incurable brain tumor. The main cause of mortality in GBM patients is the invasive rim of cells migrating away from the main tumor mass and invading healthy parts of the brain. Although motion is driven by forces, our current understanding of the physical factors involved in glioma infiltration remains limited. This study aims to investigate the adhesion properties within and between patients tumors on a cellular level and test whether these properties correlate with cell migration. MethodsNine tissue samples were taken from spatially separated sections during 5-aminolevulinic acid (5-ALA) fluorescence guided surgery. Navigated biopsy samples were collected from strongly fluorescent tumor cores, a weak fluorescent tumor rim, and non-fluorescent tumor margins. A microfluidics device was built to induce controlled shear forces to detach cells from monolayer cultures. Cells were cultured on low modulus polydimethylsiloxane representative of the stiffness of brain tissue. Cell migration and morphology were then obtained using time lapse microscopy. ResultsGBM cell populations from different tumor fractions of the same patient exhibited different migratory and adhesive behaviors. These differences were associated with sampling location and amount of 5-ALA fluorescence. Cells derived from weak- and non-fluorescent tumor tissue were smaller, adhered less well, and migrated quicker than cells derived from strongly fluorescent tumor mass. ConclusionGBM tumors are biomechanically heterogeneous. Selecting multiple populations and broad location sampling are therefore important to consider for drug testing. Key pointsGBM tumors are biomechanically heterogeneous GBM cell migration is inversely correlated with cell-matrix adhesion strength 5-ALA fluorescence intensity during surgery correlates with the motility properties of GBM cells Importance of the studyThis is the first study to compare single cell migration and cell-matrix adhesion strength of GBM, using cell lines derived from different tumors and from different regions within the same tumor. Not accounting for internal sampling location within each tumor obscures differences in cell morphology, motility and adhesion properties between patients. Peripherical and marginal tumor cells have different adhesion profiles and are highly migratory compared to those found in the core of the tumor. Aggressive regions of the tumor (highly motile) are linked to the spatial distribution of adhesion strength and are strongly associated with 5-ALA fluorescence intensity. Preclinical tests aimed at developing a treatment for GBM using anti-invasive drugs or adhesion inhibitors, would benefit from using cell lines derived from the tumor periphery (with low 5-ALA intensity) rather than cell lines derived from the tumor core.

biophysics↗

bioRxiv2019

A map of transcriptional heterogeneity and regulatory variation in human microglia

Microglia, the tissue resident macrophages of the CNS, are implicated in a broad range of neurological pathologies, from acute brain injury to dementia. Here, we profiled gene expression variation in primary human microglia isolated from 141 patients undergoing neurosurgery. Using single cell and bulk RNA sequencing, we defined distinct cellular populations of acutely in vivo-activated microglia, and characterised a dramatic switch in microglial population composition in patients suffering from acute brain injury. We mapped expression quantitative trait loci (eQTLs) in human microglia and show that many disease-associated eQTLs in microglia replicate well in a human induced pluripotent stem cell (hIPSC) derived macrophage model system. Using ATAC-seq from 95 individuals in this hIPSC model we fine-map candidate causal variants at risk loci for Alzheimers disease, the most prevalent neurodegenerative condition in acute brain injury patients. Our study provides the first population-scale transcriptional map of a critically important cell for neurodegenerative disorders.

genomics↗

bioRxiv2019

Neurodevelopmental wiring deficits in the Ts65Dn mouse model of Down syndrome

Down syndrome is the most common genetic cause of intellectual disability and occurs due to the trisomy of human chromosome 21. Adolescent and adult brains from humans with Down syndrome exhibit various neurological phenotypes including a reduction in the size of the corpus callosum, hippocampal commissure and anterior commissure. However, it is unclear when and how these interhemispheric connectivity defects arise. Using the Ts65Dn mouse model of Down syndrome, we examined interhemispheric connectivity in postnatal day 0 (P0) Ts65Dn mouse brains. We find that there is no change in the volume of the corpus callosum or anterior commissure in P0 Ts65Dn mice. However, the volume of the hippocampal commissure is significantly reduced in P0 Ts65Dn mice, and this may contribute to the impaired learning and memory phenotype of this disorder. Interhemispheric connectivity defects that arise during development may be due to disrupted axon growth. In line with this, we find that developing hippocampal neurons display reduced axon length in vitro, as compared to neurons from their euploid littermates. This study is the first to report the presence of defective interhemispheric connectivity at the time of birth in Ts65Dn mice, providing evidence that early therapeutic intervention may be an effective time window for the treatment of Down syndrome.

neuroscience↗

bioRxiv2019

Integrated clonal analysis reveals circulating tumor DNA in urine and plasma of glioma patients

Glioma-derived cell-free tumor DNA is challenging to detect using standard liquid biopsy techniques as its levels in body fluids are very low, similar to those in patients with early stage carcinomas. By sequencing cell-free DNA across thousands of clonal and private mutations identified individually in each patients tumor we detected tumor-derived DNA in plasma (10/12, 83%) and urine samples (8/11, 72%) from the majority (7/8, 87.5%) of glioma patients tested.\n\nOne Sentence SummaryCirculating tumor DNA can be detected in the majority of plasma and urine samples from primary brain tumor patients using sequencing guided by mutations detected in multi-region tumor biopsies.

genomics↗

bioRxiv2017

An integrated genomic analysis of anaplastic meningioma identifies prognostic molecular signatures

Anaplastic meningioma is a rare and aggressive brain tumor characterised by intractable recurrences and dismal outcomes. Here, we present an integrated analysis of the whole genome, transcriptome and methylation profiles of primary and recurrent anaplastic meningioma. A key finding was the delineation of two distinct molecular subgroups that were associated with diametrically opposed survival outcomes. Relative to lower grade meningiomas, anaplastic tumors harbored frequent driver mutations in SWI/SNF complex genes, which were confined to the poor prognosis subgroup. Our analyses discern two biologically distinct variants of anaplastic meningioma with potential prognostic and therapeutic significance.

genomics↗