Biology subjects

Adler, S.

Publications and source records attributed to Adler, S..

8 recordsLinked to original sources

bioRxiv2026

AI segmentation requires accounting for brain size to maintain performance on developmental MRI cohorts

The human brain undergoes rapid developmental changes through early life, underpinning the emergence of function but also marking a period of vulnerability to a range of neurodevelopmental disorders. With dynamic changes to brain size, morphology, and imaging contrast, consistent and accurate computational neuroanatomy remains a challenge. Deep learning tools for segmentation, like SynthSeg, offer robustness to heterogeneously acquired MRI contrast but remain unproven in early development. Here, we aggregated a large cohort (26k) of MRI scans spanning infant to adult development, and evaluated SynthSeg performance. Automated quality control scores, visual inspection, and spatial overlap with expert-segmented MRI scans revealed poor quality output segmentations during development. In the infant period only 36% of scans (1094/3069) passed automated QC. Rescaling infant scans to adult brain sizes significantly improved spatial overlap, and cropping scans to match adult fields of view retrieved automated quality control. Evaluation of the SynthSeg rescale + crop pipeline demonstrated visible and quantitative improvements in segmentation throughout infancy and childhood. There were marked increases in successful segmentations in infant scans, with 91% of scans now passing QC (2803/3069). These findings facilitate computational analysis of typical and disrupted neurodevelopment and should be considered when training the next generation of computational tools.

neuroscience↗

bioRxiv2025

Patient-Specific Midbrain Organoids with CRISPR Correction Reveal Disease Mechanisms and Enable Therapeutic Evaluation in Neuronopathic Gaucher Disease

Neuronopathic Gaucher disease (nGD) is a lysosomal storage disorder caused by GBA1 mutations, leading to defective acid {beta}-glucosidase (GCase) and accumulation of glycosphingolipid substrates, causing inflammation and neurodegeneration. Patients with nGD manifest severe neurological symptoms, but current animal models fail to fully recapitulate human condition, posing a major barrier to the development of effective therapies targeting the brain. To bridge this gap, we have developed midbrain-like organoids (MLOs) from human induced pluripotent stem cells (hiPSCs) of nGD patients with GBA1L444P/P415R and GBA1L444P/RecNcil mutations to model nGD brain pathogenesis. These nGD MLOs exhibited GCase deficiency, resulting in diminished enzymatic function, accumulation of lipid substrates, widespread transcriptomic changes, and impaired dopaminergic neuron differentiation, mirroring nGD pathology. GBA1 mutation correction mediated by CRISPR/Cas9 restored GCase activity, normalized lipid substrate levels, and rescued dopaminergic neuron function, confirming the causal role of GBA1 mutations during early brain development. Using this novel platform, we further evaluated therapeutic strategies, including SapC-DOPS nanovesicles delivering GCase, AAV9-GBA1 gene therapy, and substrate reduction therapy with GZ452, a glucosylceramide synthase inhibitor currently under clinical investigation. These treatments either restored GCase activity, reduced lipid substrate accumulation, improved autophagic and lysosomal abnormalities, or ameliorated dysregulated genes involved in neural development. These patient-specific, 3D neural models offer a transformative, physiologically relevant platform for unravelling disease mechanisms and accelerating the discovery of therapies for patients with nGD.

neuroscience↗

bioRxiv2025

Biodistribution-Driven Discovery Identifies a Glycosidase-Cleavable Linker to Reprogram Radiotheranostics

While radiopharmaceutical therapy (RPT) has become part of the standard-of-care for patients with advanced prostate cancers and neuroendocrine tumors (NETs), cures are elusive and normal tissue toxicity remain a challenge. Chemical groups susceptible to cleavage by enzymes present in tumors, tumor microenvironment or in normal tissues, have the potential to improve the therapeutic index for RPT. Using DOTA-TATE as an example and drawing from strategies used to develop antibody-drug conjugates, we designed, and synthesized, a chemically diverse series of linkers between the chelator (DOTA) and the targeting vector (TATE). Of the 10 agents we tested, two with cleavable linker domains reduced kidney retention compared to DOTA-TATE: the previously reported DOTA-MVK({varepsilon})-TATE, and a novel agent bearing cleavable beta-galactose ({beta}-Gal) unit, DOTA-{beta}-Gal-TATE. In murine models of NETs, positron emission tomography (PET) was used to image yttrium-86 (86Y)-labeled variants and show that, while the 86Y-DOTA-MVK({varepsilon})-TATE exhibits similar tumor uptake to the parent non-cleavable 86Y-DOTA-TATE, 86Y-DOTA-{beta}-Gal-TATE shows enhanced tumor uptake, resulting in up to 10-fold improvement in the tumor-to-kidney ratios compared to 86Y-DOTA-TATE. In vitro and in vivo studies confirm high efficiency, enzyme-specific cleavage of 86Y-DOTA-MVK({varepsilon})-TATE and 86Y-DOTA-{beta}-Gal-TATE, supporting a key role for cleavable linker chemistry in the observed outcomes. RPT studies using actinium-225 (225Ac)-labeled variants confirm that all agents are therapeutically effective and well tolerated. While both cleavable variants exhibit superior local control, overall survival, and more favorable toxicity profile when compared with 225Ac-DOTA-TATE, 225Ac-DOTA-{beta}-Gal-TATE demonstrated lower nephrotoxicity. Our findings suggest a potentially generalizable strategy for improving the pharmacokinetics of radiopharmaceutical therapy agents. One Sentence SummaryA {beta}-galactose-cleavable linker reduces kidney toxicity, enhances tumor targeting and therapeutic efficacy in radiopharmaceutical therapy.

cancer biology↗

bioRxiv2024

PTEN and ARID1A haploinsufficiency equip colonic epithelium for oncogenic transformation

Normal aged tissues are thought to exist as a patchwork of mutant clones. However, the relevance of driver mutations in normal tissue in terms of cancer initiation has not been well described. Here, we sought a quantitative understanding of how different cancer drivers achieve an age-related mutational footprint in the human colonic epithelium and to relate the clonal behaviours they generate to cancer risk. Metanalysis of contemporary multiregional sampling studies of colorectal tumours revealed many of the weak or moderate cancer drivers are trunk mutations present in the last common ancestor from which cancers arise. To study the processes by which such driver mutations could contribute to cancer predisposition, immunohistochemistry was used to detect PTEN, SMAD4 and ARID1A deficient clones in normal colon FFPE surgical resection samples (N=182 patients). Age-related changes in clone size and frequency identified positive biases in clone dynamics that acted to increase the mutational footprint for ARID1A and PTEN but not SMAD4. In vitro engineered monoallelic loss of PTEN and ARID1A implicated specific altered downstream pathways and acquired pro-oncogenic cellular fates corresponding to haploinsufficiency for these genes. In situ analysis confirmed enhanced proliferation in both PTEN and ARID1A deficient clones and creation of an immune exclusive microenvironment associated with ARID1A deficiency. The behaviours resulting from haploinsufficiency of PTEN and ARID1A exemplify how priming of the tissue through somatic mosaicism could contribute alternative combinations of genetic events leading to transformation.

cancer biology↗

bioRxiv2023

Metabolic and imaging phenotypes associated with RB1 loss in castrate resistant prostate cancer

Advanced prostate cancer is treated with androgen receptor (AR) signaling inhibitors, which are initially effective, but most patients eventually develop resistance and progress to castrate-resistant prostate cancer (CRPC). Loss of RB1 in CRPC tumors is correlated with rapid progression and poor patient survival and, in combination with TP53 loss, predisposes patients to the development of transitional neuroendocrine prostate cancer (NEPC). Although progressive CRPC is clinically associated with higher 18FDG-PET SUVmax values, it is unknown whether inactivation of RB1 and/or TP53 is a driver of increased glucose import. Using a cohort of patient-derived xenograft (PDX)-derived CRPC organoids, we found that NEPC could not be conclusively distinguished from adenocarcinoma by 18FDG uptake alone, and PSMA protein levels did not correlate with cancer phenotype or 18FDG uptake. Castration-resistant models showed higher 18FDG uptake, but lower pyruvate-to-lactate conversion compared to their castration-sensitive counterparts. In parallel studies using castration-sensitive prostate cancer models, RB1/TP53 knockdown did not affect 18FDG uptake, but increased basal respiration and glycolytic activity, with combined depletion leading to glucose diversion into glycogenesis. These metabolic changes were reflected in increased lactate dehydrogenase flux detected by 13C-hyperpolarized magnetic resonance spectroscopy upon RB1 loss, but not in 18FDG uptake. The metabolic heterogeneity revealed here suggests that a multimodal molecular imaging approach can improve tumor characterization, potentially leading to a better prognosis in cancer treatment.

cancer biology↗

bioRxiv2023

Efficient genetic editing of human intestinal organoids using ribonucleoprotein-based CRISPR

Organoids are currently one of the most widely used ex vivo models in epithelial biology. Combined with genetic editing strategies, organoids offer a promise of rapid and efficient investigation of gene function in many models of human disease. However, to date, the editing efficiency of organoids with the use of non-viral electroporation methods has been only up to 30%, with implications for the subsequent need for selection including including turnaround time and exhaustion or adaptation of the organoid population. Here, we describe an efficient method of intestinal organoid editing using a Ribonucleoprotein CRISPR-based approach. Editing efficiencies of up to 98% in target genes were robustly achieved across different anatomical gut locations and developmental timepoints from multiple patient samples with no off-target editing. The method allowed us to study the effect of the loss of the tumour suppressor gene, PTEN, in normal human intestinal cells. Analysis of PTEN deficient organoids defined phenotypes that likely relate to its tumour suppressive function in vivo, such as a proliferative advantage and increased organoid budding. Transcriptional profiling revealed differential expression of genes in pathways commonly known to be associated with PTEN loss including mTORC1 activation.

cell biology↗

bioRxiv2022

Transcriptional Cartography Integrates Multiscale Biology of the Human Cortex

The cerebral cortex underlies many of our unique strengths and vulnerabilities - but efforts to understand human cortical organization are challenged by reliance on incompatible measurement methods at different spatial scales. Macroscale features such as cortical folding and functional activation are accessed through spatially dense neuroimaging maps, whereas microscale cellular and molecular features are typically measured with sparse postmortem sampling. Here, we integrate these distinct windows on brain organization by building upon existing postmortem data to impute, validate and analyze a library of spatially dense neuroimaging-like maps of human cortical gene expression. These maps allow spatially unbiased discovery of cortical zones with extreme transcriptional profiles or unusually rapid transcriptional change which index distinct microstructure and predict neuroimaging measures of cortical folding and functional activation. Modules of spatially coexpressed genes define a family of canonical expression maps that integrate diverse spatial scales and temporal epochs of human brain organization - ranging from protein-protein interactions to large-scale systems for cognitive processing. These module maps also parse neuropsychiatric risk genes into subsets which tag distinct cyto-laminar features and differentially predict the location of altered cortical anatomy and gene expression in patients. Taken together, the methods, resources and findings described here advance our understanding of human cortical organization and offer flexible bridges to connect scientific fields operating at different spatial scales of human brain research.

neuroscience↗

bioRxiv2021

Brain charts for the human lifespan

Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here, we built an interactive resource to benchmark brain morphology, www.brainchart.io, derived from any current or future sample of magnetic resonance imaging (MRI) data. With the goal of basing these reference charts on the largest and most inclusive dataset available, we aggregated 123,984 MRI scans from 101,457 participants aged from 115 days post-conception through 100 postnatal years, across more than 100 primary research studies. Cerebrum tissue volumes and other global or regional MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3; showed high stability of individual centile scores over longitudinal assessments; and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared to non-centiled MRI phenotypes, and provided a standardised measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In sum, brain charts are an essential first step towards robust quantification of individual deviations from normative trajectories in multiple, commonly-used neuroimaging phenotypes. Our collaborative study proves the principle that brain charts are achievable on a global scale over the entire lifespan, and applicable to analysis of diverse developmental and clinical effects on human brain structure. Furthermore, we provide open resources to support future advances towards adoption of brain charts as standards for quantitative benchmarking of typical or atypical brain MRI scans.

neuroscience↗