Biology subjects

Cribbs, A. P.

Publications and source records attributed to Cribbs, A. P..

At least 19 recordsLinked to original sources

bioRxiv2026

A platform for deep topographic multiomic mapping of the bone marrow environment in multiple myeloma

Multiple myeloma is a genetically complex plasma cell malignancy in which profound intratumoral heterogeneity shapes disease progression and therapeutic resistance. Genomic subclones dynamically emerge and evolve under treatment pressure, yet their spatial organization within intact bone marrow remains poorly defined. We hypothesized that genetically distinct myeloma subclones occupy spatially discrete ecological niches associated with unique molecular and microenvironmental states. To test this, we here demonstrate a proof-of-concept spatial tri-omics workflow combining laser capture microdissection-based genomics and deep LC-MS/MS proteomics with single-cell spatial transcriptomics, integrated by digital co-registration of adjacent tissue sections. Applied to a myeloma bone marrow trephine, this approach enabled coordinated profiling of matched anatomical regions demonstrating that genomic, transcriptomic and proteomic profiles converged to define clone-specific microenvironmental programmes. We show that genetically distinct myeloma subclones occupy mutually exclusive regions of the same bone marrow biopsy. Remarkably, an aggressive del(17p) clone and a gain(12q) clone occupied defined anatomical territories within the same trephine-biopsied section, each clone exhibiting distinct genomic, transcriptomic, proteomic and cellular ecosystems. The del(17p) clone localized to a fibrotic, osteolytic and angiogenic niche enriched for activated stromal cells, osteoblasts, osteoclasts and immunoregulatory myeloid populations, whereas the gain(12q) clone occupied a comparatively quiescent marrow niche with limited stromal remodelling. Together, these findings demonstrate that genetically distinct myeloma subclones establish spatially and biologically discrete ecological niches through coordinated remodelling of stromal, immune and bone compartments, providing a framework for understanding clonal evolution within the bone marrow microenvironment.

cancer biology↗

bioRxiv2026

BRD9 inhibition induces selective radiosensitivity in glioblastoma through MYC pathway modulation

Radiotherapy (RT) is a cornerstone of glioblastoma (GBM) treatment, yet therapeutic resistance remains nearly universal due to the rapid activation of stress-adaptive survival programs. Identifying molecular regulators that sustain these adaptive responses may reveal context-dependent vulnerabilities that can be therapeutically exploited. Here, we performed an epigenetic drug screen under low-dose irradiation to identify modifiers of radiotherapy response in glioblastoma. We identify BRD9 inhibition as a priming strategy that selectively enhances irradiation-induced lethality without inducing substantial cytotoxicity under baseline conditions. Mechanistically, BRD9 perturbation delays the resolution of irradiation-induced DNA damage, leading to increased apoptosis following irradiation. This effect is selective for malignant glioblastoma cell lines and patient-derived primary cells, while sparing non-malignant human astrocytes. Transcriptomic profiling reveals that BRD9 inhibition or genetic depletion produces a coordinated, MYC-centered suppression of translational programs, including ribosome biogenesis, rRNA processing, tRNA aminoacylation, and translational initiation. Ectopic MYC expression attenuates BRD9-dependent radiosensitization, functionally linking MYC suppression to the enhanced radiation response. Importantly, analysis of independent glioblastoma patient cohorts reveals a consistent positive association between BRD9 and MYC expression, alongside elevated BRD9 expression in recurrent compared with primary tumors. Together, these findings identify BRD9 as a regulator of MYC-associated translational programs and support its therapeutic targeting as a strategy to enhance radiotherapy efficacy in glioblastoma.

cancer biology↗

bioRxiv2026

Targeting CBP/p300 Overcomes Acquired Vincristine Resistance in Medulloblastoma

BackgroundMedulloblastoma is the most common malignant pediatric brain tumor. Although advances in conventional therapies have improved survival over the years, acquired drug resistance remains a major barrier to durable cure. As dysregulation of epigenetic mechanisms is increasingly recognized as a driver of medulloblastoma pathogenesis and therapeutic adaptation, targeting epigenetic vulnerabilities represents a promising strategy to overcome treatment resistance. MethodsWe generated vincristine-resistant medulloblastoma cell line models and performed chemical screening to identify therapeutically targetable vulnerabilities. Candidate hits were validated using transcriptomic analyses, chromatin immunoprecipitation, and CRISPR-mediated genetic ablation to define the molecular mechanisms underlying drug sensitivity. ResultsChemical screening identified multiple active epigenetic compound classes capable of resensitizing vincristine-resistant medulloblastoma cells, including histone methyltransferase inhibitors, histone deacetylase inhibitors, and bromodomain inhibitors. Among these, the CBP/p300 bromodomain inhibitor SGC-CBP30 emerged as the most potent sensitizer to vincristine. Transcriptomic profiling revealed that, while ABCB1 was among the most highly upregulated genes in resistant cells, SGC-CBP30 treatment selectively downregulated ABCC3 and ABCA4, an effect not observed in parental cells. Mechanistically, chromatin immunoprecipitation demonstrated enrichment of p300 and H3K27ac at the ABCC3 and ABCA4 promoters in resistant cells, which was markedly reduced following SGC-CBP30 treatment. Consistent with these findings, genetic ablation of CREBBP or EP300 phenocopied the effects of pharmacological inhibition. Analysis of patient datasets further demonstrated elevated CREBBP, EP300, and ABCC3 expression in SHH MB, with positive correlations between ABCC3 and both CREBBP and EP300, supporting the clinical relevance of this regulatory axis. ConclusionsTogether, our findings demonstrate that CBP/p300 activity contributes to acquired vincristine-resistance in medulloblastoma. Targeting this axis represents a promising strategy to overcome drug resistance and enhance the efficacy of vincristine-based chemotherapy particularly in the context of relapsed or refractory disease. PLAIN ENGLISH SUMMARYMedulloblastoma is the most common cancerous brain tumor in children. Although many children respond well to the treatment, some tumors become resistant to chemotherapy, making them much harder to treat. Understanding why this resistance develops could lead to better treatment options for children whose cancer returns or no longer respond to therapy. In this study, we created laboratory models of medulloblastoma that had become resistant to the chemotherapy drug vincristine. We then tested a collection of drugs to identify compounds, which would restore the cancer cells sensitivity to treatment. We have discovered that several drugs were effective, with one compound, called SGC-CBP30, showing particularly strong activity. We investigated how SGC-CBP30 works and found that it decreases the activity of genes that are linked to chemotherapy resistance. Using multiple complementary experimental approaches, we confirmed that this gene-regulating pathway plays an important role in helping medulloblastoma cells survive treatment. Our findings suggest that targeting this pathway could restore the effectiveness of chemotherapy in drug-resistant tumors. Although further research is needed before this approach can be used in patients, these results provide a promising foundation for developing new treatments for children with relapsed or treatment-resistant medulloblastoma.

cancer biology↗

bioRxiv2026

FlowBench: separating planning, fault recovery and interpretation in agentic bioinformatics

AO_SCPLOWBSTRACTC_SCPLOWAgentic large language model (LLM) systems are being deployed in bioinformatics faster than they are understood, and single-metric evaluations conflate capabilities that fail independently. We introduce FlowBench, a benchmark that decomposes agentic bioinformatics performance into planning, fault recovery, biological interpretation, and end-to-end output-fidelity. Existing systems achieve high plan completeness, but their closed, single-provider designs prevent attribution of performance to scaffolding versus the underlying model. We therefore built FlowAgent, a modular, provider-agnostic framework whose components can be selectively disabled and whose backbone model can be swapped across providers on a shared harness, and used it to evaluate 23 models from three main providers. Three findings emerge. First, generating a valid workflow plan from a named toolchain is largely solved, whereas inferring an appropriate toolchain from biological intent alone is uniformly difficult regardless of model tier, compressing all models into a narrow 44-57% pass-rate band. Second, ablation shows that the dependency-structured plan and a completeness-reflection step drive performance, while adding a same-context validator-driven retry makes structural quality worse. Third, fault recovery and data-grounded interpretation remain unsolved. Models frequently propose fixes that force a clean exit while leaving the underlying data invalid, and data-grounded interpretation lags internal-knowledge recall by a consistent margin. Safety does not emerge from capability, and reasoning-tier models were among the least reliable at recognising unrecoverable faults. Once planning saturates, agent architecture and refusal calibration, not model scale, are the productive frontier. Availability and implementationFlowAgent and FlowBench are available under a GPLv3 licence at https://github.com/EnteloBio/flowagent Contactadam@entelo.bio

bioinformatics↗

bioRxiv2026

Chemical screens identify HDAC6 as an epigenetic vulnerability in acquired Temozolomide-resistant models of glioblastoma

Glioblastoma (GBM) is an aggressive primary brain tumor associated with a median survival of approximately 15 months following diagnosis. Current standard-of-care treatment includes surgical resection followed by radiotherapy and chemotherapy with the DNA-alkylating agent temozolomide (TMZ). However, tumor recurrence in a therapy-resistant state remains a major driver of poor patient outcomes. To investigate the molecular mechanisms underlying TMZ resistance, we generated in vitro models of acquired resistance by exposing initially TMZ-sensitive GBM cells to escalating doses of TMZ. Transcriptomic and chromatin accessibility profiling revealed extensive remodeling of DNA damage response (DDR) and DNA repair pathways that favored protection against TMZ-induced genotoxic stress. Although upregulation of O-6-methylguanine-DNA methyltransferase (MGMT) emerged as a dominant determinant of resistance in our models, the data suggested that additional adaptive resistance mechanisms contribute to the resistant phenotype. To identify targetable epigenetic dependencies associated with TMZ resistance, we performed a chemical screen using an epigenetic probe library. This screen identified multiple histone deacetylase (HDAC) inhibitors that selectively impaired the viability of TMZ-resistant cells, either as monotherapy or in combination with TMZ. Among these, HDAC6-selective inhibitors, including Ricolinostat, were particularly effective at inducing cell death in TMZ-resistant GBM models. Mechanistically, HDAC6 inhibition reduced the expression of key DDR-associated genes, while MGMT responses varied depending on cellular context and treatment duration. Furthermore, pharmacological inhibition and loss-of-function studies demonstrated that targeting HDAC6 could restore TMZ sensitivity by altering the balance of DNA repair pathway activity, potentially acting as a compensatory mechanism for MGMT-mediated resistance. Collectively, our findings identify HDAC6 as an epigenetic vulnerability in acquired TMZ-resistant GBM and support the therapeutic potential of HDAC6 inhibition as a strategy to overcome TMZ resistance in glioblastoma patients.

cancer biology↗

bioRxiv2025

Fibroblast specialisation across microanatomy in a single-cell atlas of healthy human Achilles tendon

Tendons are transitional tissues linking muscle to bone, enabling locomotion and fine motor control. The cellular biology across the Achilles tendon unit is poorly understood, yet critical for interpreting normal function and pathological changes across its microanatomically-defined functional zones. We generated a spatially-resolved transcriptomic atlas of human Achilles tendon, sampling the tendon-bone junction (enthesis), midbody, myotendinous junction, and adjoining muscle. Six fibroblast subtypes were identified, with distinct transcriptional profiles and spatial distributions, suggesting specialised functional roles across the tendon-muscle unit. Two dominant fibroblast types were specifically positioned in the tendon mid-substance and paratenon (vessel-rich region surrounding the tendon fibrils); other populations included perineural, myotendinous junction-specific, muscle-specific, and lining-layer fibroblasts. These findings demonstrate how cellular diversity across a transitional tissue may underlie microanatomical-specific roles. This atlas provides a foundation for understanding cellular functions across the tendon-muscle unit and will be essential for comparisons with diseased tissue, identifying pathogenic mediators and treatment targets for autoimmune and degenerative pathologies of the Achilles tendon.

genomics↗

bioRxiv2025

Distinct 5' and 3' Coverage Biases Shape Transcriptome Interpretation in Nanopore Direct RNA versus PCR-cDNA Sequencing

Long-read RNA sequencing enables isoform-resolved transcriptomics, but library preparation introduces systematic biases that shape biological interpretation. We benchmarked Oxford Nanopores two protocols--PCR-cDNA and direct RNA--using SKMM2 myeloma cells stimulated with interleukin-6 (IL-6) and ERCC synthetic spike-ins. Direct RNA produced longer, higher-quality reads and more high-confidence isoforms, but showed pronounced 5' coverage loss. PCR-cDNA yielded shorter fragments with 3' underrepresentation, detecting more low-abundance transcripts at reduced confidence. Protocol-specific biases had major consequences: differential expression analysis revealed limited overlap in IL-6-responsive genes, and pathway enrichment was broader in direct RNA. At the isoform level, differential transcript usage was almost entirely protocol-specific, with case studies (e.g. RPL22L1, GRB2, RNF220) illustrating concordance and divergence. ERCC controls confirmed these biases as technical rather than biological. Together, our results show that while both methods provide accurate gene-level quantification, transcript-level conclusions depend critically on protocol choice, highlighting the need for careful selection in long-read transcriptomics.

cell biology↗

bioRxiv2025

Biomolecular tracking by FIRESCAPE reveals distinct modes of clearance, damage induction and cellular uptake for extracellular histone H3

In attempting to observe the behaviour of a protein of interest in vivo, akin to other observer effects, current techniques require modifications or interventions that inherently alter the protein or its host, leaving one uncertain as to whether natural behaviour remains unperturbed. The study of chromatin has mostly been restricted to defining its function in the nucleus, where histone proteins fulfil vital roles in packaging genomic DNA and regulating transcription. However, chromatin components can be released into the extracellular space, either intentionally via cellular secretion or during disease-induced cell death. These extracellular chromatin components, depending on the context, can consist of: free histones, free DNA, intact nucleosomes (histone octamers wrapped by DNA), or heterogeneous, higher order structures such as neutrophil extracellular traps (NETs). They have been associated with diverse pathologies such as inflammation, cancer, and sepsis, and distinct toxic effects. However, there is a widely acknowledged lack of methods that distinguish between them and between their unique functions. Here, we now address protein observer effects to explore the fate and function of extracellular free histones by utilizing FIRESCAPE ([18F]-Fluorine Isotopic Radiolabeling Enabling Scanning of Clearance After Proteolytic Events), a novel radiolabeling concept that leverages the unique, high-sensitivity properties of the radioisotope fluorine-18, 18F, and residue-specific protein editing chemistry. By installing close and then true 18F-containing protein sidechain mimics site-specifically, FIRESCAPE enables the hierarchical in vivo scanning of the half-lives, proteolytic susceptibility and clearance of single residues in a protein of interest, and at microdoses far below toxic levels (low nanomole). These radioequivalent proteins bearing near-zero-size, zero-background labels now precisely reveal the strikingly distinct distribution, half-lives, damage-inducing abilities and accumulation of free extracellular histones in cellulo and in vivo compared to intact nucleosomes. Free extracellular histone H3 is rapidly cleared from circulation, mediated first by proteolysis of the histone tail. By contrast, direct injection of free histones vs nucleosomes into tissue that is unprotected by such proteolysis (brain), provokes a starkly different response; free histones exhibited limited diffusion and swiftly promoted damage both in cell culture and in vivo, whilst intact nucleosomes were essentially passive and benign. Remarkably, synthetic extracellular histone H3 was observed to enter cells and integrate into chromatin, indistinguishable from native H3 in both localization and post-translational modification (PTM) accumulation, yet paired with cellular and tissue damage. The exploratory studies described here now provide much needed clarity to the distinct fates and effects of extracellular histones vs nucleosomes, in particular the strongly damaging effects of free histones, their rapid uptake into cells, and an associated histone-specific proteolysis pathway via the removal of the histone tail.

biochemistry↗

bioRxiv2025

A comparison of long-read single-cell transcriptomic approaches

Long-read sequencing enables the incorporation of isoform-level expression into single-cell transcriptomic studies, offering detail beyond those accessible with short-read methods. Although insightful, these approaches have typically been costly and yielded limited data for each individual cell. Recent advances in library preparation approaches and sequencing throughput have brought long-read single-cell studies closer to the mainstream. Here, we present a comparative analysis of commercial approaches for single-cell long-read sequencing. We have performed parallel analyses of the same cDNA material, generated using the 10X genomics platform, on Illumina short-read, and PacBio and Oxford Nanopore long-read platforms. We also demonstrate the impact of CRISPR-based depletion of libraries, to remove highly expressed transcripts, prior to long-read sequencing in these experiments. By analysing single-source cDNA libraries in parallel, we enable a direct comparison of each platform, evaluating standard metrics alongside concordance in clustering and cell type identification. While each approach generates usable gene and isoform expression data, we identify limitations common across platforms, primarily linked to cDNA synthesis inefficiencies and read filtering strategies. Our work demonstrates the increasing utility of single-cell long-read sequencing for isoform-resolved analyses, such as direct immunoglobulin chain reconstruction without additional amplification, and the detection of alternative splicing patterns across immune cell subtypes in CD45, a key gene for immune cell activation and differentiation. Our benchmarking of current platform options provides a foundation for researchers looking to adopt single-cell long-read sequencing into their transcriptomic studies, providing a framework for its integration into diverse biological questions.

cell biology↗

bioRxiv2025

Cellular and molecular landscapes of human tendons across the lifespan revealed by spatial and single-cell transcriptomics

Tendon injuries are common and often heal poorly. While developing tendons heal without scarring, this capacity declines with age, yet the underlying cellular transitions remain poorly defined. Here, we integrate histological, single-nucleus, single-cell, and spatial transcriptomic profiling of human Achilles and quadriceps tendons across embryonic, foetal, and adult stages, including ruptured adult tendons. We identify seven embryonic progenitor states that give rise to three distinct tendon-associated fibrillar, connective tissue, and chondrogenic lineages. These populations diversify during development and occupy distinct spatial niches, adopting specialised roles in matrix synthesis, tissue remodelling, and mechanical adaptation. While non-fibroblast populations remain transcriptionally stable with age, fibroblasts undergo marked reprogramming, shifting to homeostatic or injury-responsive states. In ruptured adult tendons, a subset of fibroblasts partially reactivates developmental programs but remains transcriptionally distinct from their regenerative counterparts. These findings define the cellular architecture of human tendon development and ageing and reveal lineage-specific targets for therapeutic repair.

cell biology↗

bioRxiv2025

Functional Genomic Screens Reveal RBBP4 as a Key Regulator of Cell Cycle Progression in TMZ-Resistant Glioblastoma

Temozolomide (TMZ) remains the standard of care for glioblastoma; however, its efficacy is frequently influenced by epigenetic mechanisms, notably the methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) promoter. While MGMT promoter hypermethylation is associated with enhanced responsiveness to TMZ, additional epigenetic determinants of TMZ resistance remain largely undefined. In this study, we established TMZ-resistant glioblastoma cell lines that consistently maintained their resistant phenotype both in vitro and in vivo. Transcriptomic analyses revealed a marked upregulation of MGMT expression in these models. To systematically investigate the epigenetic regulators governing TMZ resistance and cell survival, we conducted CRISPR/Cas9-based functional genomic screens using our focused Epigenetic Knock-Out Library (EPIKOL), which targets 800 chromatin regulators alongside selected positive and negative controls. These unbiased screens validated MGMT as a primary mediator of TMZ resistance, confirming the robustness of our approach. Moreover, dropout screens across multiple resistant cell line models identified Retinoblastoma Binding Protein 4 (RBBP4) as a critical vulnerability. Notably, RBBP4 knockout significantly impaired cell proliferation without affecting MGMT expression, suggesting a distinct mechanism supporting the survival of TMZ-resistant glioblastoma cells. Subsequent transcriptomic profiling following RBBP4 loss demonstrated significant downregulation of cell cycle pathways, particularly the G2/M checkpoint. Live-cell imaging and immunofluorescence analyses further revealed increased cell size and multinucleation in RBBP4-deficient cells, indicative of disrupted mitotic progression. Collectively, our results identify RBBP4 as a key regulator of cell cycle progression and survival in TMZ-resistant glioblastoma and highlight its potential as a novel epigenetic target for therapeutic intervention in recurrent disease.

cancer biology↗

bioRxiv2025

Tresor: An integrated platform for simulating transcriptomic reads with realistic PCR error representation across various RNA sequencing technologies

The rapid advancement of high-throughput sequencing technologies has spurred the development of numerous computational tools designed to identify gene expression patterns from growing datasets at both bulk and single-cell sequencing levels. The recent advent of longread sequencing technologies has further accelerated the availability and refinement of these tools. The lack of ground-truth labels and annotations in sequencing data presents a significant challenge for evaluating the efficacy of analytical tools. To address this, we developed Tresor, an integrated platform for simulating both short and long reads at bulk and single-cell levels. We devised a tree-based algorithm to significantly accelerate in silico experiments at high PCR cycles. Tresor allows for customising sequencing libraries with highly modular and flexible read structures, facilitating the verification of sequencing-related biological discoveries. This tool also includes features that introduce substitution, insertion, and deletion errors at various stages of library preparation, PCR amplification, and sequencing, enhancing its applicability in diverse experimental conditions and simulating real world conditions. Our results demonstrate that, upon removal of PCR duplicates, cell type-specific gene expression profiles derived from our simulated reads highly resemble reference data. We envisage that Tresor will provide valuable insights into a broader range of transcriptomics analyses and support the development of more effective algorithms for read alignment and UMI deduplication.

bioinformatics↗

bioRxiv2025

mclUMI: Markov clustering of unique molecular identifiers enables dynamic removal of PCR duplicates

Molecular quantification in high-throughput sequencing experiments relies on accurate identification and removal of polymerase chain reaction (PCR) duplicates. The use of Unique Molecular Identifiers (UMIs) in sequencing protocols has become a standard approach for distinguishing molecular identities. However, PCR artefacts and sequencing errors in UMIs present a significant challenge for effective UMI collapsing and accurate molecular counting. Current computational strategies for UMI collapsing often exhibit limited flexibility, providing invariable deduplicated counts that inadequately adapt to varying experimental conditions. To address these limitations, we developed mclUMI, a tool employing the Markov clustering algorithm to accurately identify original UMIs and eliminate PCR duplicates. Unlike conventional methods, mclUMI automates the detection of independent communities within UMI graphs by dynamically fine-tuning inflation and expansion parameters, enabling context-dependent merging of UMIs based on their connectivity patterns. Through in silico experiments, we demonstrate that mclUMI generates dynamically adaptable deduplication outcomes tailored to diverse experimental scenarios, particularly best-performing under high sequencing error rates. By integrating connectivity-driven clustering, mclUMI enhances the accuracy of molecular counting in noisy sequencing environments, addressing the rigidity of current UMI deduplication frameworks.

molecular biology↗

bioRxiv2025

UMIche: A platform for robust UMI-centric simulation and analysis in bulk and single-cell sequencing

Unique molecular identifiers (UMIs) have actively been utilised by various RNA sequencing (RNA-seq) protocols and technologies to remove polymerase chain reaction (PCR) duplicates, thus enhancing counting accuracy. However, errors during sequencing processes often compromise the precision of UMI-assisted quantification. To overcome this, various computational methods have been proposed for UMI error correction. Despite these advancements, the absence of a unified benchmarking and validation framework for UMI deduplication methods hinders the systematic evaluation and optimisation of these methods. Here, we present UMIche, an open-source, UMI-centric computational platform designed to improve molecular quantification by providing a systematic, integrative, and extensible framework for UMI analysis. Additionally, it supports the development of more effective UMI deduplication strategies. We show that through its integration of a broad spectrum of UMI deduplication methods and computational workflows, UMIche significantly advances the accuracy of molecular quantification and facilitates the generation of high-fidelity gene expression profiles.

molecular biology↗

bioRxiv2025

ATF4-Mediated Metabolic Stress Response as a Therapeutic Vulnerability in Chordoma

Chordoma, a rare primary bone malignancy, currently lacks effective targeted therapies. Despite surgical resection and adjuvant radiotherapy, prognosis remains poor. Recent preclinical studies have highlighted potential therapeutic targets, including the transcription factor TBXT. However, clinical outcomes associated with therapies targeting TBXT remain underexplored or have been modest, warranting further investigation. In this study, we investigated the therapeutic potential of tRNA synthetase inhibitors in chordoma treatment. Focused compound screening identified distinct chemotypes targeting human glutamyl-prolyl-tRNA synthetase (EPRS) as effective in reducing cell viability in chordoma cell lines through an ATF4-mediated stress response rather than through TBXT regulation. Mechanistically significant upregulation of ATF4 and associated stress response genes was identified with consecutive pro-apoptotic DDIT3-mediated cell death. The prototypic EPRS inhibitor halofuginone demonstrated significant tumour growth inhibition in an in vivo patient-derived xenograft model. These results suggest that targeting metabolic stress pathways via ATF4 activation presents a novel therapeutic approach for chordoma, warranting further clinical investigation.

cancer biology↗

bioRxiv2024

The KDM6 histone demethylase inhibitor GSK-J4 induces metal and stress responses in multiple myeloma cells

Thioneins are cysteine-rich apoproteins that regulate divalent metal homeostasis by virtue of their metal-chelation properties resulting in the ligand-bound metallothionein state. Previous studies show transient upregulation of the metallothionein (MT) gene cluster as part of a complex transcriptional response to a class of histone demethylase tool compounds targeting human Fe2+ dependent ketoglutarate oxygenases KDM6A (UTX) and KDM6B (JmjD3). The prototypic bioactive KDM6 inhibitor GSK-J4 induces apoptotic cell death in multiple myeloma cells and corresponding transcriptomic profiles are dominated by metal and metabolic stress response signatures, also observed in primary human myeloma cells. Here we investigate the hypothesis that metal-chelation by GSK-J4 provides the means for transport and intracellular release of Zn2+ leading to a metallothionein transcriptomic response signature. Live cell imaging of myeloma cells shows transient increases in intracellular free Zn2+ concentrations when exposed to GSK-J4, consistent with a model of inhibitor-mediated metal transport. Comparisons of GSK-J4 and ZnSO4 treatments in the presence or absence of metal chelators show that both treatment conditions induce different transcription factor repertoires with an overlapping MTF1 transcriptional regulation responsible for metallothionein and metal ion transport regulation. The data provide a possible explanation for the observed metal response upon GSK-J4 inhibition however the relationship with the pro-apoptotic mechanism in myeloma cells requires further investigation.

cell biology↗

bioRxiv2024

RNA editing is a molecular clock in unmodified human cells

Despite major advances in spatial RNA sequencing, the ability to extract temporal information in RNA sequencing experiments is still limited. Here, we describe Transcriptome Timestamping (T2), a system which harnesses naturally occurring A-to-I editing of RNA transcripts in unmodified human cells to infer transcriptional history. T2 provides age estimates for individual RNA transcripts, and serves as an endogenous molecular recorder, differentiating between complex transcriptional programs. We show that T2 can identify transient and transitional transcriptional programs in primary differentiating monocytes that are not apparent from gene expression analysis alone, including a regulatory module in the monocyte-to-macrophage transition that, to our knowledge, has not yet been described in humans. Finally, we show that T2 can also be applied to single cell data, allowing us to identify transcriptional programs in heterogeneous populations, such as asynchronously dividing cells. T2 is a scalable approach to temporal transcriptomics that can be applied to track the activity of thousands of genes in unmodified, primary human cells and tissues, with no genetic engineering.

genomics↗

bioRxiv2024

Exploring cellular changes in ruptured human quadriceps tendons at single-cell resolution

Tendon ruptures in humans have regularly been studied during the chronic phase of injury. However, the early response to injury remains less investigated. Quadriceps tendons, which require prompt surgical treatment, offer a model to investigate this early response. Therefore, this study aimed to explore the early cellular changes in ruptured compared to healthy human quadriceps tendons. Quadriceps tendon samples were collected from patients undergoing tibial shaft fracture repair (healthy) or tendon repair surgery for complete rupture (collected 7-8 days post-injury). Nuclei were isolated for single-nucleus RNA sequencing, and comprehensive transcriptomic analysis was conducted to profile cellular changes. The transcriptomes of 12,808 nuclei were profiled, including 7,268 nuclei from healthy and 5,540 nuclei from ruptured quadriceps tendons, revealing 12 major cell types and several cell subtypes and states. Rupture samples showed increased expression of genes related to extracellular matrix organisation and cell cycle signalling, and a decrease in expression of genes in lipid metabolism pathways. These changes were driven predominantly by gene expression changes in the fibroblast, vascular endothelial cells (VECs), mural cell, and macrophage populations: fibroblasts shift to an activated phenotype upon rupture and there is an increase in proportion of capillary and dividing VECs, suggesting an angiogenic response. A diverse immune environment was observed, with a shift from homeostatic to activated macrophages following rupture. Cell-cell interactions increased in rupture, both in their number and diversity, and primarily involving fibroblast and endothelial cell populations. Collectively, this transcriptomic analysis suggests that fibroblasts and endothelial cells are key orchestrators of the early injury response within ruptured quadriceps tendon.

genomics↗