Biology subjects

Farrell, M.

Publications and source records attributed to Farrell, M..

15 recordsLinked to original sources

bioRxiv2026

3D-genome impacts of TAD-boundary-disrupting ultra-rare structural variants identified in schizophrenia

Schizophrenia is a complex and multifactorial brain disorder that impacts ~1% of the U.S. population. The genetic architecture of schizophrenia includes 10 large rare structural variants (SVs) ~10 exonic variants, and over 250 common variants. Previously we combined whole genome sequencing (WGS) with brain-specific epigenomic data and found an excess of ultrarare SVs in schizophrenia localizing to the boundaries of topologically associated domains (TADs). Alterations in TAD boundaries (TAD-b) may lead to disarrangement of enhancer-promoter contacts and dysregulation of gene expression and have been associated with several human diseases. Our study sought to functionally characterize two of these TAD-b SVs using chromatin conformation capture (e.g., Hi-C) and RNA sequencing, to unveil mechanistic insight into the effects of these variants on 3D-genome organization and gene expression. To achieve this, we genetically engineered these two TAD-b SVs in isogenic induced pluripotent stem cells (iPSCs) using CRISPR/Cas9. iPSCs were differentiated into neuronal precursor cells, excitatory glutamatergic neurons, and medium spiny neurons. We found that these TAD-boundary-disrupting SVs could reshape the 3D-genome and transcriptional networks in a cell-type-specific manner.

genomics↗

bioRxiv2025

Developmental Toxicity and Lethality of Structurally Diverse PFAS in Zebrafish

Per-and polyfluoroalkyl substances (PFAS) are ubiquitous environmental contaminants that have been associated with adverse health effects in highly exposed populations. Manufacturers have taken steps to replace toxic long-chain perfluoroalkyl acids (PFAAs) with short-chain PFAAs and perfluoroether acids (PFEAs). There is little to no toxicity data for many of these chemicals. Most of the data that are available are taken from studies that do not account for the pH of highly concentrated PFAS solutions, resulting in highly acidic conditions that do not accurately reflect real-world exposures. The goal of this study was to evaluate the lethality and developmental toxicity of 17 structurally diverse PFAS in zebrafish in a pH-neutral environment. We then compared results to determine the impacts of chain length, head group, and ether linkages on toxicity. The potency of PFAS to induce mortality and developmental toxicity endpoints increased with chain length, and sulfonic acids were more potent than carboxylic acids. The inclusion of ether oxygens was associated with reduced potency relative to PFAAs with equal chain length and head group. Perfluorooctane sulfonic acid (PFOS) was the most potent compound, followed by perfluoroundecanoic acid (PFUnDA) and perfluorododecanoic acid (PFDoDA). Short-chain compounds perfluoro-2-methoxyacetic acid (PFMOAA) and perfluorobutanoic acid (PFBA) were the least potent. These data were used to construct a multiple linear regression model for PFAS potency. Failed swim bladder inflation was the most sensitive developmental toxicity endpoint for all assessed chemicals. Other common phenotypes included spinal curvature, edema, craniofacial malformations, and ocular malformations. Ocular malformations were more common in response to sulfonic acids. No other phenotypes exhibited significant structural specificity. Our study provides new toxicity data for a diverse set of PFAS under environmentally relevant conditions. Future studies should be expanded to include more branched structures and head groups not present in our testing set to allow for improved understanding of how other structural features impact toxicity.

pharmacology and toxicology↗

bioRxiv2025

TNF-α disrupts the malate-aspartate shuttle, driving metabolic rewiring in iPSC-derived enteric neural lineages from Parkinson's Disease patients

Gastrointestinal (GI) dysfunction emerges years before motor symptoms in Parkinsons disease (PD), implicating the enteric nervous system (ENS) in early disease progression. However, the mechanisms linking the PD hallmark protein, -synuclein (-syn), to ENS dysfunction - and whether these mechanisms are influenced by inflammation - remains elusive. Using iPSC-derived enteric neural lineages from patients with -syn triplications, we reveal that TNF- increases mitochondrial--syn interactions, disrupts the malate-aspartate shuttle, and forces a metabolic shift toward glutamine oxidation. These alterations drive mitochondrial dysfunction, characterizing metabolic impairment under cytokine stress. Interestingly, targeting glutamate metabolism with Chicago Sky Blue 6B restores mitochondrial function, reversing TNF--driven metabolic disruption. Our findings position the ENS as a central player in PD pathogenesis, establishing a direct link between cytokines, -syn accumulation, metabolic stress and mitochondrial dysfunction. By uncovering a previously unrecognized metabolic vulnerability in the ENS, we highlight its potential as a therapeutic target for early PD intervention.

neuroscience↗

bioRxiv2025

Deciphering Brain Organoids Heterogeneity by Identifying Key Quality Determinants

Brain organoids derived from human pluripotent stem cells (hPSCs) hold immense potential for modeling neurodevelopmental processes and disorders. However, their experimental variability and undefined organoid selection criteria for analysis hinder reproducibility. As part of the Bavarian ForInter consortium, we generated 72 brain organoids from distinct hPSC lines. We conducted a comprehensive analysis of their morphological and cellular characteristics at an early stage of their development. In our assessment, the Feret diameter emerged as a reliable, single parameter that characterizes brain organoid quality. Transcriptomic analysis further confirmed the reliability of this marker and identified a negative impact of mesenchymal cells on the abundance of organoid formation. High-quality organoids consistently displayed a lower mesenchymal cell presence. These findings offer a framework for enhancing brain organoid standardization and reproducibility, underscoring the need for morphological quality controls and the consideration of mesenchymal cell influence on organoid-based modeling. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=186 HEIGHT=200 SRC="FIGDIR/small/632763v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@11c214org.highwire.dtl.DTLVardef@1dcb643org.highwire.dtl.DTLVardef@1420141org.highwire.dtl.DTLVardef@6074e6_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2024

Large language models help facilitate the automated synthesis of information on potential pest controllers

The body of ecological literature, which informs much of our knowledge of the global loss of biodiversity, has been experiencing rapid growth in recent decades. The increasing difficulty to synthesise this literature manually has simultaneously resulted in a growing demand for automated text mining methods. Within the domain of deep learning, large language models (LLMs) have been the subject of considerable attention in recent years by virtue of great leaps in progress and a wide range of potential applications, however, quantitative investigation into their potential in ecology has so far been lacking. In this work, we analyse the ability of GPT-4 to extract information about invertebrate pests and pest controllers from abstracts of a body of literature on biological pest control, using a bespoke, zero-shot prompt. Our results show that the performance of GPT-4 is highly competitive with other state-of-the-art tools used for taxonomic named entity recognition and geographic location extraction tasks. On a held-out test set, we show that species and geographic locations are extracted with F1-scores of 99.8% and 95.3%, respectively, and highlight that the model is able to distinguish very effectively between the primary roles of interest (predators, parasitoids and pests). Moreover, we demonstrate the ability of the model to effectively extract and predict taxonomic information across various taxonomic ranks, and to automatically correct spelling mistakes. However, we do report a small number of cases of fabricated information (hallucinations). As a result of the current lack of specialised, pre-trained ecological language models, general-purpose LLMs may provide a promising way forward in ecology. Combined with tailored prompt engineering, such models can be employed for a wide range of text mining tasks in ecology, with the potential to greatly reduce time spent on manual screening and labelling of the literature.

ecology↗

bioRxiv2023

Recall tempo of Hebbian sequences depends on the interplay of Hebbian kernel with tutor signal timing

Understanding how neural circuits generate sequential activity is a longstanding challenge. While foundational theoretical models have shown how sequences can be stored as memories with Hebbian plasticity rules, these models considered only a narrow range of Hebbian rules. Here we introduce a model for arbitrary Hebbian plasticity rules, capturing the diversity of spike-timing-dependent synaptic plasticity seen in experiments, and show how the choice of these rules and of neural activity patterns influences sequence memory formation and retrieval. In particular, we derive a general theory that predicts the speed of sequence replay. This theory lays a foundation for explaining how cortical tutor signals might give rise to motor actions that eventually become "automatic". Our theory also captures the impact of changing the speed of the tutor signal. Beyond shedding light on biological circuits, this theory has relevance in artificial intelligence by laying a foundation for frameworks whereby slow and computationally expensive deliberation can be stored as memories and eventually replaced by inexpensive recall.

neuroscience↗

bioRxiv2023

Linking bacterial tetrabromopyrrole biosynthesis to coral metamorphosis

An important factor dictating coral fitness is the quality of bacteria associated with corals and coral reefs. One way that bacteria benefit corals is by stimulating the larval to juvenile life cycle transition of settlement and metamorphosis. Tetrabromopyrrole (TBP) is a small molecule produced by bacteria that stimulates metamorphosis in a range of coral species. A standing debate remains, however, about whether TBP biosynthesis from live Pseudoalteromonas bacteria is the primary stimulant of coral metamorphosis. In this study, we create a Pseudoalteromonas sp. PS5 mutant lacking the TBP brominase gene, bmp2. Using this mutant, we confirm that the bmp2 gene is critical for TBP biosynthesis in Pseudoalteromonas sp. PS5. Mutation of this gene ablates the bacteriums ability in live cultures to stimulate the metamorphosis of the stony coral Porites astreoides. We further demonstrate that expression of TBP biosynthesis genes is strongest in stationary and biofilm modes of growth, where Pseudoalteromonas sp. PS5 might exist within surface-attached biofilms on the sea floor. Finally, we create a modular transposon plasmid for genomic integration and fluorescent labeling of Pseudoalteromonas sp. PS5 cells. Our results functionally link a TBP biosynthesis gene from live bacteria to a morphogenic effect in corals. The genetic techniques established here provide new tools to explore coral-bacteria interactions and could help to inform future decisions about utilizing marine bacteria or their products for restoring degraded coral reefs.

microbiology↗

bioRxiv2022

The Fatty Acid Binding Protein Family Represents a Novel Target in Multiple Myeloma

BackgroundMultiple myeloma is an incurable plasma cell malignancy with only a 53% 5-year survival rate, highlighting a critical need for new multiple myeloma vulnerabilities and therapeutic avenues. Herein, we explored a novel multiple myeloma target: the fatty acid binding protein (FABP) family. MethodsMyeloma cells treated with FABP inhibitors (BMS3094013 and SBFI-26) were examined in vivo and in vitro for cell cycle, proliferation, apoptosis, mitochondrial membrane potential, cellular metabolism (oxygen consumption rates and fatty acid oxidation), and DNA methylation. Myeloma cell responses to BMS309403 and/or SBFI-26 were assessed with RNA-sequencing and proteomic analysis, and confirmed with western blotting and qRT-PCR. Myeloma cell dependency on FABPs was assessed using DepMap. Finally, MM patient datasets (CoMMpass and GEO) were mined for FABP expression correlations with clinical outcomes. ResultsMyeloma cells treated with FABPi or with FABP5 knockout (generated via CRISPR/Cas9 editing) exhibited diminished proliferation in vitro. FABPi had potent anti- tumor effects both in vitro and in vivo in two pre-clinical MM mouse models where increased mouse survival was observed. FABPi negatively impacted mitochondrial respiration and reduced expression of MYC and other key signaling pathways in MM cells. Clinical data demonstrated worse overall and progression-free survival in patients with high FABP5. ConclusionsThis study establishes the FABP family as a therapeutically actionable dependency in multiple myeloma with a multitude of actions and cellular roles that result in the support of myeloma progression. Statement of translational relevanceMultiple myeloma (MM) is an incurable disease of the plasma cell and MM patients require better treatments as soon as possible. The fatty acid binding protein (FABP) family plays a number of roles in cells, including supporting fatty acid oxidation, lipid shuttling and signal transduction. Here, we demonstrate with CoMMpass and other clinical data that FABPs represent a biomarker for aggressive disease in MM, and are a novel, targetable protein family expressed by myeloma cells. Pharmacologically inhibiting FABPs kills tumor cells and induces cell cycle arrest in vitro and in pre-clinical models. Mechanisms of action are multitudinous, as we discovered with RNA-sequencing, proteomic analysis, and phenotyping assays. Cell metabolism, cell signaling, cell stress, and epigenetic signatures were altered in MM cells when FABPs were inhibited. In summary, targeting FABP5 holds great therapeutic potential for killing diseased cells, with few negative off-target effects on healthy cells.

cancer biology↗

bioRxiv2020

Drug screening linked to molecular profiling identifies novel dependencies in patient-derived primary cultures of paediatric high grade glioma and DIPG

Paediatric high grade glioma and diffuse midline glioma (including DIPG) are comprised of multiple biological and clinical subgroups, the majority of which urgently require novel therapies. Patient-derived in vitro primary cell cultures represent potentially useful tools for mechanistic and preclinical investigation based upon their retention of key features of tumour subgroups under experimental conditions amenable to high-throughput approaches. We present 17 novel primary cultures derived from patients in London, Dublin and Belfast, and together with cultures established or shared from Barcelona, Brisbane, Rome and Stanford, assembled a panel of 52 models under 2D (laminin matrix) and/or 3D (neurospheres) conditions, fully credentialed by phenotypic and molecular comparison to the original tumour sample (methylation BeadArray, panel/exome sequencing, RNAseq). In screening a subset of these against a panel of ~400 approved chemotherapeutics and small molecules, we identified specific dependencies associated with tumour subgroups and/or specific molecular markers. These included MYCN-amplified cells and ATM/DNA-PK inhibitors, and DIPGs with PPM1D activating truncating mutations and inhibitors of MDM2 or PARP1. Specific mutations in PDGFRA were found to confer sensitivity to a range of RTK inhibitors, though not all such mutations conferred sensitivity to targeted agents. Notably, dual PDGFRA/FGFR and downstream pathway MEK inhibitors showed profound effects against both PDGFRA-sensitising mutant and FGFR1-dependent non-brainstem pHGG and DIPG. In total, 85% cells were found to have at least one drug screening hit in short term assays linked to the underlying biology of the patients tumour, providing a rational approach for individualised clinical translation.

cancer biology↗

bioRxiv2020

Autoencoder networks extract latent variables and encode these variables in their connectomes

Spectacular advances in imaging and data processing techniques are revealing a wealth of information about brain connectomes. This raises an exciting scientific opportunity: to infer the underlying circuit function from the structure of its connectivity. A potential roadblock, however, is that - even with well constrained neural dynamics - there are in principle many different connectomes that could support a given computation. Here, we define a tractable setting in which the problem of inferring circuit function from circuit connectivity can be analyzed in detail: the function of input compression and reconstruction, in an autoencoder network with a single hidden layer. Here, in general there is substantial ambiguity in the weights that can produce the same circuit function, because largely arbitrary changes to "input" weights can be undone by applying the inverse modifications to the "output" weights. However, we use mathematical arguments and simulations to show that adding simple, biologically motivated regularization of connectivity resolves this ambiguity in an interesting way: weights are constrained such that the latent variable structure underlying the inputs can be extracted from the weights by using nonlinear dimensionality reduction methods.

neuroscience↗

bioRxiv2018

Chemogenetic ligands for translational neurotheranostics

Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) are a popular chemogenetic technology for manipulation of neuronal activity in uninstrumented awake animals with potential for precision medicine-based clinical theranostics. DREADD ligands developed to date are not appropriate for such translational applications. The prototypical DREADD agonist clozapine N-oxide (CNO) lacks brain entry and converts to clozapine. The second-generation DREADD agonist, Compound 21 (C21), was developed to overcome these limitations. We found that C21 has low brain penetrance, weak affinity, and low in vivo DREADD occupancy. To address these drawbacks, we developed two new DREADD agonists, JHU37152 and JHU37160, and the first dedicated positron emission tomography (PET) DREADD radiotracer, [18F]JHU37107. JHU37152 and JHU37160 exhibit high in vivo DREADD potency. [18F]JHU37107 combined with PET allows for DREADD detection in locally-targeted neurons and at their long-range projections, enabling for the first time, noninvasive and longitudinal neuronal projection mapping and potential for neurotheranostic applications.

neuroscience↗

bioRxiv2018

Signatures and mechanisms of low-dimensional neural predictive manifolds

Artificial neural networks have recently achieved many successes in solving sequential processing and planning tasks. Their success is often ascribed to the emergence of the tasks low-dimensional latent structure in the network activity - i.e., in the learned neural representations. Here, we investigate the hypothesis that a means for generating representations with easily accessed low-dimensional latent structure, possibly reflecting an underlying semantic organization, is through learning to predict observations about the world. Specifically, we ask whether and when network mechanisms for sensory prediction coincide with those for extracting the underlying latent variables. Using a recurrent neural network model trained to predict a sequence of observations we show that network dynamics exhibit low-dimensional but nonlinearly transformed representations of sensory inputs that map the latent structure of the sensory environment. We quantify these results using nonlinear measures of intrinsic dimensionality and linear decodability of latent variables, and provide mathematical arguments for why such useful predictive representations emerge. We focus throughout on how our results can aid the analysis and interpretation of experimental data.

neuroscience↗

bioRxiv2018

Need for high-resolution Genetic Analysis in iPSC: Results and Lessons from the ForIPS Consortium

Genetic integrity of induced pluripotent stem cells (iPSCs) is essential for their validity as disease models and for potential therapeutic use. We describe the comprehensive analysis in the ForIPS consortium: an iPSC collection from donors with neurological diseases and healthy controls. Characterization included pluripotency confirmation, fingerprinting, conventional and molecular karyotyping in all lines. In the majority, somatic copy number variants (CNVs) were identified. A subset with available matched donor DNA was selected for comparative exome sequencing. We identified single nucleotide variants (SNVs) at different allelic frequencies in each clone with high variability in mutational load. Low frequencies of variants in parental fibroblasts highlight the importance of germline samples. Somatic variant number was independent from reprogramming, cell type and passage. Comparison with disease genes and prediction scores suggest biological relevance for some variants. We show that high-throughput sequencing has value beyond SNV detection and the requirement to individually evaluate each clone.

genomics↗

bioRxiv2018

Barcoded oligonucleotides ligated on RNA amplified for multiplex and parallel in-situ analyses

We present Barcoded Oligonucleotides Ligated On RNA Amplified for Multiplexed and parallel In-Situ analysis (BOLORAMIS), a reverse-transcription (RT)-free method for spatially-resolved, targeted, in-situ RNA identification of single or multiple targets. For this proof of concept, we have profiled 154 distinct coding and small non-coding transcripts ranging in sizes 18 nucleotides in length and upwards, from over 200, 000 individual human induced pluripotent stem cells (iPSC) and demonstrated compatibility with multiplexed detection, enabled by fluorescent in-situ sequencing. We use BOLORAMIS data to identify differences in spatial localization and cell-to-cell expression heterogeneity. Our results demonstrate BOLORAMIS to be a generalizable toolset for targeted, in-situ detection of coding and small non-coding RNA for single or multiplexed applications.

cell biology↗

bioRxiv2017

Cell-type selective deletion of RSK2 reveals insights into altered signaling in Coffin-Lowry Syndrome

Coffin-Lowry syndrome (CLS) is an X-linked syndromic form of mental retardation characterized by various skeletal dysmorphisms, moderate to severe mental retardation, and in some cases, psychosis. CLS is caused by loss-of-function mutations of the p90 ribosomal S6 kinase 2 (RPS6KA3) gene encoding a growth factor-regulated serine/threonine kinase, ribosomal S6 kinase 2 (RSK2). We previously identified RSK2 as a novel interacting protein that tonically inhibits 5-HT2A receptor signaling by phosphorylating Ser-314 within the third intracellular loop. To determine if RSK2 inhibits 5-HT2A receptor signaling in vivo and whether disruption of RSK2 could lead to schizophrenia-like behaviors - as is seen in some CLS patients - we genetically disrupted the function of RSK2 either globally or selectively in forebrain pyramidal neurons in mice. Both global and forebrain-selective RSK2 deletion augmented the locomotor responses to the psychotomimetic drugs phencyclidine (PCP) and amphetamine (AMPH). Significantly, forebrain-selective deletion of RSK2 augmented 5-HT2A receptor signaling as exemplified by enhanced 5-HT2A-mediated c-fos activation and head-twitch response without altering the levels or distribution of 5-HT2A receptor protein. Thus, RSK2 modulates 5HT2A receptor function in vivo, and disruption of RSK2 leads to augmented psychostimulant-induced responses reminiscent of those seen in many animal models of schizophrenia. These findings strengthen the association between 5-HT2A receptor dysfunction and psychosis, and provide a potential mechanism underlying the schizophrenia-like symptoms present in some CLS patients.\n\nHighlightsO_LIGlobal and cell-type-specific RSK2 knock-out mice were assessed behaviorally and pharmacologically\nC_LIO_LIAugmentation of amphetamine and PCP locomotor responses were seen in both global and forebrain-specific RSK2 KO mice\nC_LIO_LIAugmentation of 5-HT2A serotonin receptor function but not number was also observed\nC_LIO_LIThese alterations reveal insights into mechanisms potentially responsible for behavioral sequlae of Coffin-Lowry Syndrome\nC_LI

neuroscience↗