Biology subjects

Smith, A.

Publications and source records attributed to Smith, A..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

Gap scheduling of a PARP inhibitor and nanoparticle TOP1 agent combination avoids synergistic bone marrow toxicity

Although combinations of DNA damage response inhibitors (DDRi) and DNA damaging chemotherapy enhance cytotoxicity in cell-based systems, clinical success has been limited by overlapping bone marrow toxicities. Here, we show that a tumor-targeted nanoparticle camptothecin CRLX101, administered concurrently with DDRi, enhances anti-tumour efficacy but also increases bone marrow toxicity in preclinical models. Using rat bone marrow progenitor cells as biomarkers and leveraging differential repair kinetics of CRLX101-induced DNA damage in tumour and bone marrow, we identified a gap schedule of the PARP inhibitor olaparib and CRLX101 that enhanced efficacy over single agents but demonstrated a reduced combination marrow toxicity. A clinical trial has been designed using the gap schedule identified here and represents a template that can be used to successfully deliver DDRi with tumor-targeted chemotherapy in combination.

cancer biology↗

bioRxiv2025

A high-throughput platform for biophysical antibody developability assessment to enable AI/ML model training

Antibodies must bind their targets with high affinity and specificity to achieve useful therapeutic activity. They must also possess suitable developability properties (e.g., thermostability, solubility, viscosity, polyreactivity) to ensure favorable manufacturing, formulation, and in vivo performance. Both binding and developability properties are inherent to a given antibody amino acid sequence. Identification or selection of antibodies possessing suitable binding characteristics is now routine, and de novo computational design models, trained on extensive complementarity-determining region sequence and structural data, are rapidly improving. Developability properties, however, remain difficult to predict largely due to insufficient training data, with empirical testing being heavily used to avoid challenges in late-stage antibody development. To fill this gap, we built a high-throughput antibody developability assay platform designed to generate the large datasets needed to train improved machine learning (ML) models. We optimized and automated known developability assays [Jain et al., 2017], and developed a robust integrated data analytics pipeline. Here we report data on 246 antibodies--representing 106 approved, 135 clinical-stage, and 5 preregistration/withdrawn molecules--across a panel of 10 developability assays, in a "tidy data" format suitable for AI/ML modeling. We used these data to develop an XGBoost [Chen et al., 2016] ML model that better predicts similarity to approved antibodies compared to conventional use of developability warning thresholds. Additionally, we confirm that preliminary predictive models do improve with more training data. Our high-throughput PROPHET-Ab platform enables data generation at the scale needed to develop improved ML models to predict antibody developability. SignificanceSuccessful antibody drugs exhibit important "developability" properties, beyond tight and specific binding to their target, including high expressibility, high stability and solubility, low aggregation propensity, low viscosity, low polyreactivity, and long in vivo half-life. Collectively, developability properties predict favorable manufacturing, storage, administration, and safety, and deficiencies in these properties increase risk for clinical failure. Despite progress in developing machine learning models to predict structure and binding, antibody developability models lag, largely due to a lack of sufficiently large training datasets. We have built a high-throughput platform, PROPHET-Ab, that enables data generation at the scale needed to train improved AI/ML models to predict antibody developability.

biophysics↗

bioRxiv2025

The response of the skeletal muscle transcriptome to exercise in chronic kidney disease

BackgroundChronic kidney disease (CKD) affects approximately 14% of the UK population and is associated with significant exercise intolerance, partly due to skeletal muscle dysfunction. While exercise is a potential therapeutic strategy, the molecular response of skeletal muscle to exercise in CKD remains poorly understood. This study aimed to characterise transcriptomic changes in skeletal muscle 24 hours after aerobic (AE) or combined aerobic and resistance exercise (CE) in non-dialysis CKD. MethodsThis study utilised muscle biopsies from participants in the ExTRA CKD trial with stage 3b-4 CKDages 3b-4 (AE: 24 (15-32) ml/min/1.73m2; CE: 25 (19-31) ml/min/1.73m2). Participants (n=4 per group) were randomised to 12 weeks of thrice-weekly AE or CE. Vastus lateralis skeletal muscle biopsies were collected at baseline and 24h after the first bout of exercise. RNA was extracted for Bulk RNA sequencing. Bulk RNA sequencing was performed, and differentially expressed genes (DEGs) were identified between baseline and post-exercise samples, followed by pathway enrichment analysis. ResultsFollowing AE, 1480 genes were upregulated and 1554 downregulated. CE resulted in 556 upregulated and 115 downregulated genes. The most upregulated gene after AE was CHI3L1 (log2FC 10.7), followed by SAA2 and PTX3, all associated with inflammation. After CE, SFN (log2FC 6.8) and MT1A were among the most highly upregulated. Enrichment analysis showed strong activation of inflammatory and cellular senescence pathways, and downregulation of mitochondrial function-related processes, particularly after AE. ConclusionBoth AE and CE triggered robust inflammatory gene expression responses in CKD skeletal muscle, indicative of early repair processes. Unexpectedly, mitochondrial-related pathways were downregulated, aligning with previous findings of impaired mitochondrial adaptation in CKD. These results highlight mitochondrial dysfunction as a potential barrier to effective exercise adaptation and a possible therapeutic target in this population.

physiology↗

bioRxiv2025

Cultivating Future Materials: Artificial Symbiosis for Bulk Production of Bacterial Cellulose Composites

Symbiotic relationships between micro-organisms are the basis of all global ecosystems. Here we extrapolate this concept for novel material fabrication by creating artificial symbiotic relationships between species that are usually not grown synergistically in nature. Specifically, we combine the cellulose-producing bacterium Komagataeibacter hansenii and the green microalga Chlamydomonas reinhardtii to obtain bulk growth of bacterial cellulose. Usually, bacterial cellulose is produced as floating pellicles at the air-liquid interface of the growing media, because free oxygen, together with the nutrients in the culture medium, is required for the bacteria to synthesise the cellulose fibres. In the co-culture, bacterial cellulose production can be achieved in bulk beyond the restriction of the liquid/air interface as the motile microalgae act as oxygen-generating sites within the culture medium. In exchange, the highly porous and mechanically robust scaffold provided by the cellulose allows the algal community to form a healthy biofilm, which can reach several centimetres thick. We demonstrate that our growing platform allows the simultaneous production of bulk bacterial cellulose in static incubation conditions, taking up an arbitrary and yet tunable 3D shape, dependent on the geometry of the culture vessel and with a relatively high biomass output.

microbiology↗

bioRxiv2025

Streptomyces coelicolor-plant association facilitates ergothioneine (EGT) uptake in Triticum aestivum

The growing market of agricultural biologicals as alternatives to synthetic crop chemicals is driven by their ability to improve soil health, reduce carbon footprints, enhance crop yield and quality, and help counter declining protein levels in cereal crops linked to climate change and soil degradation. Ergothioneine (EGT), an amino acid with recognized nutraceutical and micronutrient properties, has gained popularity for its anti-inflammatory and antimicrobial properties on human health. While plants and humans cannot biosynthesize EGT, its production by Streptomyces coelicolor presents as a promising bio-stimulant to support overall plant health and human health. Our study investigates the potential for Streptomyces coelicolor M145 to enhance EGT levels in spring wheat (Triticum aestivum). Results confirmed successful EGT extraction from bacterial cell extracts and plant tissues. Additionally, a fluorescent confocal microscopy staining and imaging protocol showed bacterial colonization on T. aestivum and its potential as a root endophyte. Following root inoculation, S. coelicolor was observed inhabiting roots, shoots, and internodes of T. aestivum, suggesting its potential endophytic lifestyle on host plants. Our data showed that S. coelicolor-associated wheat plants produce EGT in planta. Overall, our findings establish a direct link between soil and human health through rhizosphere colonization by S. coelicolor and in planta production of EGT, suggesting an alternate route to enhance protein concentration in crop plants.

plant biology↗

bioRxiv2025

Functional synaptic connectivity of engrafted spinal cord neurons with locomotor circuitry in the injured spinal cord

Spinal cord injury (SCI) results in significant neurological deficits, with no currently available curative therapies. Neural progenitor cell (NPC) transplantation has emerged as a promising approach for neural repair, as graft-derived neurons (GDNs) can integrate into the host spinal cord and support axon regeneration. However, the mechanisms underlying functional recovery remain poorly understood. In this study, we investigate the synaptic integration of NPC-derived neurons into locomotor circuits, the projection patterns of distinct neuronal subtypes, and their potential to modulate motor circuit activity. Using transsynaptic tracing in a mouse thoracic contusion SCI model, we found that NPC-derived neurons form synaptic connections with host locomotor circuits, albeit at low frequencies. Furthermore, we mapped the axon projections of V0C and V2a interneurons, revealing distinct termination patterns within host spinal cord laminae. To assess functional integration, we employed chemogenetic activation of GDNs, which induced muscle activity in a subset of transplanted animals. However, NPC transplantation alone did not significantly improve locomotor recovery, highlighting a key challenge in the field. Our findings suggest that while GDNs can integrate into host circuits and modulate motor activity, synaptic connectivity remains a limiting factor in functional recovery. Future studies should focus on enhancing graft-host connectivity and optimizing transplantation strategies to maximize therapeutic benefits for SCI.

neuroscience↗

bioRxiv2025

MYC Serine 62 phosphorylation promotes its binding to DNA double strand breaks to facilitate repair and cell survival under genotoxic stress.

Genomic instability is a hallmark of cancer, driving oncogenic mutations that enhance tumor aggressiveness and drug resistance. MYC, a master transcription factor that is deregulated in nearly all human tumors, paradoxically induces replication stress and associated DNA damage while also increasing expression of DNA repair factors and mediating resistance to DNA-damaging therapies. Emerging evidence supports a non-transcriptional role for MYC in preserving genomic integrity at sites of active transcription and protecting stalled replication forks under stress. Understanding how MYCs genotoxic and genoprotective functions diverge may reveal new therapeutic strategies for MYC-driven cancers. Here, we identify a non-canonical role of MYC in DNA damage response (DDR) through its direct association with DNA breaks. We show that phosphorylation at serine 62 (pS62-MYC) is crucial for the efficient recruitment of MYC to damage sites, its interaction with repair factors BRCA1 and RAD51, and effective DNA repair to support cell survival under stress. Mass spectrometry analysis with MYC-BioID2 during replication stress reveals a shift in MYCs interactome, maintaining DDR associations while losing transcriptional regulators. These findings establish pS62-MYC as a key regulator of genomic stability and a potential therapeutic target in cancers.

cancer biology↗

bioRxiv2025

Metagenomics of the MAST-3 stramenopile, Incisomonas, and its associated microbiome reveals unexpected metabolic attributes and extensive nutrient dependencies

Protists are polyphyletic singled-celled eukaryotes that underpin global ecosystem functioning, particularly in the oceans. Most remain uncultured, limiting investigation of their physiology and cell biology. MArine STramenopiles (MASTs) are heterotrophic protists that, although related to well-characterised photosynthetic diatoms and parasitic oomycetes, are poorly studied. The Nanomonadea (MAST-3) species Incisomonas marina has been maintained in co-culture with a bacterial consortium, offering opportunities to investigate the metabolic attributes and nutritional dependencies of the community. Employing a metagenomics approach, the 68 Mbp haploid genome of I. marina was retrieved to an estimated completeness of 93%, representing the most complete MAST genome so far. We also characterised the diversity of, and assembled genomes for, 23 co-cultured bacteria. Auxotrophy of I. marina for B vitamins (B1, B2, B6, B7 and B12), but not vitamins C, B3, B5 and B9 was predicted. Several bacteria also lacked complete B-vitamin biosynthesis pathways, suggesting that vitamins and/or their precursors are exchanged in the consortium. Moreover, I. marina lacked the ability to synthesise half the protein amino acids, although genes encoding the complete urea cycle were identified, like diatoms; this may play a role in recycling organic nitrogen compounds. Unexpectedly, we also identified the gene DSYB for dimethylsulphoniopropionate (DMSP) biosynthesis. Biosynthesis of this important stress-protectant and bacterial chemoattractant is typically found in photosynthetic eukaryotes and has not before been identified in heterotrophic stramenopiles. Together, our study reveals the metabolic attributes of a hitherto understudied organism, advancing knowledge of the evolution and adaptations of the stramenopiles and informing future culturing efforts.

microbiology↗

bioRxiv2025

Clustering of Tandem Inverse Duplications in Centromeric and Subtelomeric Chromosomal Regions of Aspergillus flavus

The formation of inverted repeats frequently initiates rearrangements associated with gene amplification. Among these rearrangements are inverted triplications (TRP/INVs) that are associated with multiple disease states in humans. We have used the filamentous fungus Aspergillus flavus as a model system to analyze spontaneous DNA rearrangements using high-depth third-generation sequencing of DNA isolated from vegetatively cultured strains. Analysis of sequence data identified a class of infrequent and transient rearrangements having structures typical of TRP/INVs. These TRP/INVs form both unprocessed and processed species and have a variably sized deletion at the junction between direct and inverted sequences. We found that TRP/INVs are enriched in heterochromatic centromeric and subtelomeric A+T-rich regions, suggesting that this process is a source of genetic instability in these domains. Consistent with this finding, A+T-rich regions contain elevated levels of direct, inverted, and perfect palindromic repeats. Inverted junctions contain palindromic sequences that are typically associated with TRP/INVs. A closer examination of the class of genomic palindromes found at inverted junctions revealed a broad distribution, with the majority lying in AT-rich centromeric sequences. The distribution of TRP/INVs in centromeric and subtelomeric domains mirrors the frequency of palindromes, indicating that palindrome abundance is likely to be a driver of TRP/INVs. A further examination of predicted pairing patterns in palindrome-like structures suggests that these structures may function as sites of DNA resolution, strand transfer, and replicative stalling. These results are consistent with a replication-based model in which palindromes, under conditions of replication stress, facilitate the formation of TRP/INV structures. These studies also represent, to our knowledge, the first characterization of spontaneous TRP/INV formation, likely to underlie the complex rearrangements associated with higher eukaryotic genomic instability and disease states. AUTHOR SUMMARYInverted triplications (TRP/INVs), coupled with gene amplification, are sources of genetic instability. However, little is known about how these species arise spontaneously prior to selective pressures. We have established a fungal model system that uses long-read third-generation sequencing to identify low-abundance rearrangements in the absence of an intentional selection. We identified and characterized multiple classes of TRP/INVs flanked by palindromic sequences. These rearrangements were concentrated in the AT-rich centromeric and subtelomeric regions, suggesting that these sites are regulated recombinational hotspots. Palindromes that are also associated with TRP/INVs are also most prevalent in A+T-rich centromeric regions, suggesting that the abundance of palindromes, both as a source of DNA damage and fork stalling, is a driver of TRP/INV formation. These studies provide the first evidence (to our knowledge) of the spontaneous formation of TRP/INVs during DNA replication, which is likely to precede more complex sources of rearrangements associated with oncogenesis and other disease states in higher eukaryotes.

genetics↗

bioRxiv2025

Validation of Structure Tensor Analysis for Orientation Estimation in Brain Tissue Microscopy

Accurate localization of white matter pathways using diffusion MRI is critical to investigating brain connectivity, but the accuracy of current methods is not thoroughly understood. A fruitful approach to validating accuracy is to consider microscopy data that have been co-registered with MRI of post mortem samples. In this setting, structure tensor analysis is a standard approach to computing local orientations for validation. However, structure tensor analysis itself has not been well-validated and is subject to uncertainty in its angular resolution, and selectivity to specific spatial scales. In this work, we conducted a simulation study to investigate the accuracy of using structure tensors to estimate the orientations of fibers arranged in configurations with and without crossings. We examined a range of simulated conditions, with a focus on investigating the methods behavior on images with anisotropic resolution, which is particularly common in microscopy data acquisition. We also analyzed 2D and 3D optical microscopy data. Our results show that parameter choice in structure tensor analysis has relatively little effect on accuracy for estimating single orientations, although accuracy decreases with anisotropy. On the other hand, when estimating the orientations of crossing fibers, the choice of parameters becomes critical, and poor choices result in orientation estimates that are essentially random. This work provides a set of recommendations for researchers seeking to apply structure tensor analysis effectively in the study of axonal orientations in brain imaging data and quantifies the methods limitations, particularly in the case of anisotropic data. HighlightsO_LIStructure tensor estimates of homogeneous orientations are robust to parameter choice C_LIO_LIAccuracy in crossing-fiber regions is highly sensitive to parameter choice C_LIO_LIImage anisotropy has a large effect on accuracy in 3D images C_LIO_LISimulations provide guidelines for choosing parameters based on image characteristics C_LI

neuroscience↗

bioRxiv2025

The "value perspectives of nature" scale: A validated scale to measure plural value perspectives of future nature from a transformative angle.

Sustainability transformations critically depend on understanding, assessing and monitoring the plural values of nature held across societies. However, while conceptual frameworks increasingly acknowledge a plurality of values, empirical indicators to reliably assess these multiple value types and their sub-dimensions remain scarce. We introduce the Plural Values of Nature (PVN) scale, integrating intrinsic, instrumental, and relational values into one multi-dimensional scale. This psychometric scale consists of 11 items and is designed to capture both distinctiveness and overlap of values. Using a seven-step process that includes qualitative and cognitive interviews, expert evaluations, and quantitative pre-testing and validation the scale is refined and validated across five European countries (representative sample; n = 1028). The validation study shows moderate to high internal consistency, reliability, and validity of the scale across all countries. Based on the development and validation of the PVN, we discuss methodological and conceptual issues and unpack the plurality of values of nature. Initial results show that considering the plurality of values is important to understand peoples attitudes towards e.g., nature restoration: People that endorse multiple values show more positive attitudes towards nature restoration than people endorsing only one specific value type (either instrumental, intrinsic, or relational values), with people endorsing all three value types simultaneously showing the highest support for such policies. As a concise survey-based social indicator, the PVN scale can be used to take stock of the plural values that societies hold regarding the future development of nature and to monitor potential shifts over time.

scientific communication and education↗

bioRxiv2024

Genomic Diversity and Antimicrobial Resistance of Vibrio cholerae Isolates from Africa: A PulseNet Africa Initiative Using Nanopore Sequencing to Enhance Genomic Surveillance

ObjectivesVibrio cholerae remains a significant public health threat in Africa, with antimicrobial resistance (AMR) complicating treatment. This study leverages whole-genome sequencing (WGS) of V. cholerae isolates from Cote dIvoire, Ghana, Zambia and South Africa to assess genomic diversity, AMR profiles, and virulence, demonstrating the utility of WGS for enhanced surveillance within the PulseNet Africa network. MethodsWe analysed Vibrio isolates from clinical and environmental sources (2010-2024) using Oxford Nanopore sequencing and hybracter assembly. Phylogenetic analysis, multilocus sequence typing (MLST), virulence and AMR gene detection were performed using Terra, Pathogenwatch, and Cloud Infrastructure for Microbial Bioinformatics (CLMB) platforms, with comparisons against 88 global reference genomes for broader genomic context. ResultsOf 79 high-quality assemblies, 67 were confirmed as V. cholerae, with serogroup O1 accounting for the majority (43/67, 67%). ST69 accounted for 60% (40/67) of isolates, with eight sequence types identified overall. Thirty-seven isolates formed novel sub-clades within AFR12 and AFR15 O1 lineages, suggesting local clonal expansions. AMR gene analysis revealed high resistance to trimethoprim (96%) and quinolones (83%), while resistance to azithromycin, rifampicin, and tetracycline remained low ([≤]7%). A significant proportion of the serogroup O1 isolates (41/43, 95%) harboured resistance genes in at least three antibiotic classes. ConclusionsThis study highlights significant genetic diversity and AMR prevalence in African V. cholerae isolates, with expanding AFR12 and AFR15 clades in the region. The widespread resistance to trimethoprim and quinolones raises concerns for treatment efficacy, although azithromycin and tetracycline remain viable options. WGS enables precise identification of species and genotyping, reinforcing PulseNet Africas pivotal role in advancing genomic surveillance and enabling timely public health responses to cholera outbreaks. Data summaryAll supporting data and protocols have been provided within the article or as supplementary data files. The ONT reads have been deposited under BioProject accession PRJNA1192988, while the high-quality Vibrio spp. assemblies have been shared via figshare (Foster-Nyarko, Ebenezer (2024). Genomic Diversity and Antimicrobial Resistance of Vibrio spp. Isolates from Africa: A PulseNet Africa Initiative Using Nanopore Sequencing to Enhance Genomic Surveillance. figshare. Dataset. https://doi.org/10.6084/m9.figshare.27941376.v1). Individual accession numbers for these reads and Biosample IDs are provided in File S2, available with the online version of this article. The accession numbers for the 88 reference genome assemblies included in our analysis are also provided in File S3. Impact statementCholera remains a significant public health challenge in Africa, disproportionately affecting the region due to the ongoing transmission of Vibrio cholerae O1 and the emergence of antimicrobial resistance (AMR). This study demonstrates the utility of Oxford Nanopore Technology (ONT) sequencing in providing high-resolution insights into the genomic diversity, transmission dynamics, and AMR profiles of V. cholerae isolates across Africa. By generating and analysing whole-genome sequences, we identified novel sublineages, high prevalence rates of AMR genes, and virulence traits critical to cholera pathogenesis. These findings contribute to a deeper understanding of the epidemiology and evolution of V. cholerae in Africa, informing targeted intervention strategies. Furthermore, the study highlights the growing threat posed by AMR among V. cholerae isolates, including resistance to key therapeutic antibiotics, such as quinolones and trimethoprim, which could undermine current treatment protocols. Despite this, the absence of resistance to azithromycin and rifampicin among the O1 isolates suggests these drugs may remain viable treatment options, offering a critical avenue for preserving treatment efficacy. This research also underscores the importance of sustained genomic surveillance, capacity building, and regional collaboration to mitigate the public health impact of cholera and other foodborne pathogens. By leveraging WGS technologies and training initiatives, such as the PulseNet Africa genomics workshop, this study provides a framework for strengthening regional capacities to detect, monitor, and respond to cholera outbreaks and the spread of AMR. These efforts align with the African Union and Africa CDCs strategic priorities on health security and AMR, contributing to improved public health systems and cholera control across the continent.

genomics↗

bioRxiv2024

Dissociating Contributions of Theta and Alpha Oscillations from Aperiodic Neural Activity in Human Visual Working Memory

While visual working memory (WM) is strongly associated with reductions in occipitoparietal alpha (8-12 Hz) power, the role of frontal midline theta (4-7 Hz) power is less clear, with both increases and decreases widely reported. Here, we test the hypothesis that this theta paradox can be explained by non-oscillatory, aperiodic neural activity dynamics. Because traditional time-frequency analyses of electroencephalography (EEG) data conflate oscillations and aperiodic activity, event-related changes in aperiodic activity can manifest as task-related changes in apparent oscillations, even when none are present. Reanalyzing EEG data from two visual WM experiments (n = 74, of either sex), and leveraging spectral parameterization, we found systematic changes in aperiodic activity with WM load, and we replicated classic alpha, but not theta, oscillatory effects after controlling for aperiodic changes. Aperiodic activity decreased during WM retention, and further flattened over the occipitoparietal cortex with an increase in WM load. After controlling for these dynamics, aperiodic-adjusted alpha power decreased with increasing WM load. In contrast, aperiodic-adjusted theta power appeared to increase during WM retention, but because aperiodic activity reduces more, it falsely appears as though theta "oscillatory" power (e.g., total band power) is reduced. Furthermore, only a minority of participants (31/74) had a detectable degree of theta oscillations. These results offer a potential resolution to the theta paradox where studies show contrasting power changes. Additionally, we have identified novel aperiodic dynamics during human visual WM. Significance statementWorking Memory (WM) is our ability to hold information in mind without it being present in our external environment. Years of research focused on oscillatory brain dynamics to discover the mechanisms of WM. Here, we specifically look at oscillatory and non-oscillatory, aperiodic activity as measured with scalp EEG to test their significance in supporting WM. We challenge earlier findings regarding theta oscillations with our analysis approach, while replicating alpha oscillation findings. Furthermore, aperiodic activity is found to be involved in WM, over frontal regions in a task-general manner, and over anterior regions this activity is reduced with an increase in the number of remembered items. Thus, we have identified novel aperiodic dynamics during human visual WM.

neuroscience↗

bioRxiv2024

Translocations can drive expression changes of multiple genes in regulons covering entire chromosome arms

Translocations have largely been implicated in tumor development. However, beyond the consequences of aberrant gene expression near the breakpoint, their effects remain unexplored. In this work, we characterize the interplay between translocations, chromatin organization and gene expression using mantle cell lymphoma (MCL) as a model. We show that in vitro induced MCL-associated translocations can drive transcriptional changes at entire chromosome arms affecting multiple genes in a regulon-like fashion. Additionally, overexpressed genes in MCL patients are enriched in the exact same genomic regions, further underlining its potential relevance for lymphomagenesis. Moreover, we demonstrate a clear link between the translocation-induced transcriptional alterations and genome organization, with genes most susceptible to change expression residing in pre-existing long-range interacting loops spanning 50 megabases. The translocation places the strong immunoglobulin enhancer into this loop, allowing the spread of its regulatory potential over the entire affected chromosome arm. Finally, we show that translocation-induced effects mainly represent expression enhancement of genes already active prior to translocation formation, highlighting the importance of the epigenetic state of the cell in which this initial hit occurs. In summary, we show that translocations can induce ample, simultaneous gene expression changes affecting entire chromosome arms, representing an important new mechanism for tumorigenesis.

cancer biology↗

bioRxiv2024

mTORC1 and STAT3 signalings are indispensable for in vitro TGFβ1-dependent Three-Dimensional (3D) tendon construct.

The Transforming Growth Factor-{beta} 1 (TGF{beta}1) is a well-known growth factor involved in tenocytes differentiation, extracellular matrix production, and cell fate regulation. We previously demonstrated that TGF{beta}1 has a critical role in the formation of in vitro 3D tendon constructs using mouse primary tendon cells. In this study, we investigated the function of Mammalian target of rapamycin complex 1 (mTORC1) and Signal transducer and activator of transcription 3 (STAT3) signaling in the formation of TGF{beta}1-induced in vitro 3D tendon constructs using specific inhibitors, rapamycin (mTORC1 inhibitor) and stattic (stat3 inhibitor). TGF{beta}1 treatment activated both mTORC1 and STAT3 in 3D tendon constructs. The treatment of rapamycin or stattic partly attenuated TGF{beta}1-dependent cellular, molecular, and matrix changes in the 3D tendon constructs. Overall, this study demonstrates that mTORC1-STAT3 signaling axis is a downstream mediator of TGF{beta}1 signaling in the formation of 3D tendon constructs.

bioengineering↗

bioRxiv2024

The fetal specific gene LIN28B is essential for human fetal B-lymphopoiesis and initiation of KMT2A::AFF1 infant leukemia

Infant ALL (iALL) is initiated in utero, most often by rearrangement of the KMT2A gene (KMT2Ar). It carries a very poor prognosis despite a lack of additional oncogenic driver mutations common in childhood ALL. Here, we aimed to identify specific properties of human fetal hematopoietic stem/progenitor cells (HSPC) that promote leukemic transformation in KMT2Ar iALL using molecular, functional and in vivo assays. First, by comparing transcriptomes of human fetal HSPC to adult HSPC we derived a fetal-specific gene signature and identified the fetal oncogene LIN28B and its downstream effectors among the top hits. These genes were also expressed in iALL. Functional assays revealed that LIN28B was essential in human fetal liver (FL) CD34+ cells to maintain proliferation and stemness, and support B- and NK-lymphopoiesis. To interrogate the role of LIN28B in iALL, we utilised a human FL-derived CRISPR-Cas9 KMT2A::AFF1 model. In this model, LIN28B-expressing leukemias were more proliferative in vitro and in vivo, with this advantage being lost upon LIN28B knockdown. Mechanistic studies showed that LIN28B acts by stabilizing key early B-lymphoid genes, epigenetic regulators, and cell cycle and anti-apoptotic genes. Finally, In the absence of LIN28B, human FL CD34+ cells fail to transform upon induction of KMT2A::AFF1 translocation. Thus, LIN28B has an essential role in normal human fetal B-lymphopoiesis, and is necessary for the initiation of KMT2A::AFF1 iALL in fetal cells in the absence of co-operating mutations. It has a role in making leukemias more aggressive, suggesting it is a potential target in LIN28B-expressing leukemias.

cancer biology↗

bioRxiv2024

Intestinal helminth skews DC2 development towards regulatory phenotype to counter the anti-helminth immune response.

The intestinal immune system maintains a balance between active immunity needed for protection and tolerance towards harmless antigens. Dendritic cells (DCs) found in the intestinal mucosa are key to the adaptive arm of these immunoregulatory events. DCs sample antigens in the tissue and then migrate to the draining lymph nodes, where they prime the T cells that then migrate back to the tissue as effector or regulatory cells. Intestinal DC are highly heterogeneous, and it remains unclear exactly which subsets induces the different kinds of immune response, or what signalling molecules and cellular mechanisms are involved. Here, we have studied these issues using Heligmosomoides polygyrus bakeri (Hpb) infection in mice, a model which is uniquely suited to dissecting this regulatory circuit in the gut, where it drives type 2 protective immunity at the same time as inhibiting other aspects of the immune response. Here, we characterise intestinal DC during Hpb infection for the first time. We observed a dynamical change of intestinal DC populations throughout the course of infection that correlated with altered phenotype and function. In particular, Hpb infection saw a rise in a population of CD103+ DC2 that retained a potent ability to drive Tregs during the infection and unlike CD103-DC2, had a reduced ability to induce pro-inflammatory immune response. Furthermore, transcriptional analysis revealed that TGF{beta} signalling may be responsible for some of the changes observed. This was confirmed in vitro, where supplementation TGF{beta} or Hpb-produced TGF{beta} mimic (TGM) replicated the immunomodulatory effects seen in DCs in vivo. Together, these results present a mechanistic explanation of how helminths such as Hpb may modulate host immune responses by altering the differentiation and function of local DCs. Furthermore, our work provides the basis for understanding immune homeostasis in the intestine at the molecular and cellular levels. Thus, this work fills out a crucial gap in our knowledge of basic biology underlining the DC decision between pro- and anti-inflammatory immune response in the central circuit of adaptive immune response.

immunology↗

bioRxiv2024

The open to closed D-loop conformational switch determines length in filopodia-like actin bundles

Filopodia, microspikes and cytonemes are implicated in sensing the environment and in dissemination of morphogens, organelles and pathogens across tissues. Their major structural component is parallel bundles of actin filaments that assemble from the cell membrane. Whilst the length of filopodia is central to their function, it is not known how their lengths are determined by actin bundle dynamics. Here, we identified a set of monoclonal antibodies that lengthen filopodia-like structures formed in a cell-free reconstitution system, and used them to uncover a key molecular switch governing length regulation. Using immunolabelling, enzyme-linked immunosorbent assays, immunoprecipitation and immunoblock experiments, we identified four antibodies that lengthen actin bundles by selectively binding the open DNase 1-binding loop (D-loop) of actin filaments. The antibodies inhibit actin disassembly and their effects can be alleviated by providing additional actin or cofilin. This work indicates that maintaining an open state of the actin filament D-loop is a mechanism of generating the long projections of filopodia-like actin bundles.

biochemistry↗