Biology subjects

Cribbs, A.

Publications and source records attributed to Cribbs, A..

6 recordsLinked to original sources

bioRxiv2025

FlowAgent: A Modular Agent-Based System for Automated Workflow Management and Data Interpretation

Reproducibility, automation, and flexibility remain persistent challenges in bioinformatics, where complex workflows require integration of diverse computational tools, rigorous quality control, and dynamic adaptability to evolving datasets. Existing workflow managers often trade off usability for flexibility, limiting accessibility for non-specialists and enforcing rigid execution pipelines. We present FlowAgent, an adaptive agent-based framework that embeds computational heuristics and intelligent decision-making into workflow management. Unlike static pipeline managers, FlowAgent leverages agentic systems for context-aware automation, enhancing error detection, correction, and real-time optimisation while minimising manual intervention. By integrating bioinformatics tools with adaptive control, FlowAgent ensures robust quality control and enables workflow execution through an intuitive natural language interface. This approach democratises advanced computational methods for biologists while allowing bioinformaticians to focus on high-level analysis. FlowAgent redefines workflow automation, making bioinformatics pipelines more intelligent, efficient, and accessible, ultimately accelerating scientific discovery across diverse omics data modalities. Availability and implementationFlowAgent is available with GLPv3 license at https://github.com/EnteloBio/flowagent

genomics↗

bioRxiv2024

CD4+ tissue resident memory Th17 cells drive IL-17A-mediated joint pathology in Spondyloarthritis

ObjectivesInterleukin (IL)-17A is a key driver of Spondyloarthritis (SpA) joint pathology. We aimed to identify its cellular source in synovial tissue from patients with two forms of SpA namely Axial SpA (AxSpA) and Psoriatic arthritis (PsA). MethodsSynovial tissue from patients with SpA was profiled using single-cell RNA sequencing (scRNA-seq: AxSpA, n=5 and PsA, n=6) or spatial RNA profiling (PsA, n=4). CellPhoneDB was used to infer cell-cell communication. Tissue resident memory Th17 (TRM17)-like cells were generated in vitro using blood memory CD4+ T cells from SpA patients. An epigenetic inhibitor library, siRNA and clustered regularly interspaced short palindromic repeats (CRISPR) were used to identify epigenetic regulator(s) for TRM17. ResultsscRNA-seq showed that CD4+CXCR6+ TRM17 cells are the predominant spontaneous IL17A producers in SpA synovium. Cell-cell communication and single-cell spatial analysis support the interaction between TRM17 and CLEC10A+ dendritic cells, which were activated in SpA. Both sublining and lining fibroblasts in SpA synovium showed evidence of IL-17A activation. In vitro-generated CD4+ TRM17-like cells phenocopied joint tissue TRM17, producing IL-17A/F upon T cell receptor (TCR) stimulation, which was further enhanced by cytokines. Perturbation of BRD1 inhibited the generation of TRM17-like cells. ConclusionsCD4+ TRM17 cells are the predominant source of IL-17A in SpA synovial tissue. TCR stimulation is essential for the secretion of IL-17A by CD4+TRM17-like cells. The epigenetic regulator BRD1 contributes to the generation of CD4+TRM17. Depleting CD4+TRM17 cells in SpA is thus a therapeutic strategy with potential to induce long-term remission. Key messagesO_ST_ABSWhat is already known on this topicC_ST_ABSInterleukin (IL)-17A plays a key role in the immunopathogenesis of Spondyloarthritis (SpA), but its cellular source in joint tissue has not been determined previously. The induction and accumulation of CD4+ tissue resident memory Th17 (TRM17) cells following the clearance of pathogens has been described in skin, lung and kidney. Whether CD4+ TRM17 cells also accumulate in the joint and contribute to the pathology of SpA is not clear. What this study addsO_LICD4+ TRM17 cells are present in SpA synovial tissue and are the predominant source of IL17A C_LIO_LICD4+ TRM17 cells in SpA joints express IL17A without any in vitro exogenous stimulation C_LIO_LIT cell receptor (TCR) rather than cytokine stimulation is essential for IL-17A production by CD4+ TRM17-like cells C_LIO_LIThe epigenetic regulator BRD1 contributes to the generation of CD4+ TRM17-like cells. C_LI How this study might affect research, practice or policyOur findings identify CD4+ TRM17 cells as the primary source of IL-17A in SpA synovium, a previously unrecognized role for these cells. Key questions remain: How do CD4+ TRM17 cells relate to IL-17A producers in synovial fluid? What mechanisms induce and maintain them in the joint? How do they interact with other cells to promote arthritis? These questions warrant further investigation. In addition, our data suggest that targeting CD4+ TRM17 cells, the "factory" of IL-17A in SpA synovial tissue, has the potential to induce long-term remission, encouraging future efforts to develop new therapies to deplete CD4+ TRM17 cells in SpA.

immunology↗

bioRxiv2020

Combined inhibition of KDM6A/B and HDACs exacerbates integrated stress response and mediates therapeutic effects in IDH1-mutant glioma

BackgroundIDH1/2-mutant gliomas are primary brain tumors for which curative treatments are lacking. Mutant IDH-dependent 2-hydroxyglutarate (2-HG) accumulation leads to DNA and histone hypermethylation. Based on this distinct phenotype, we interrogated epigenetic dependencies of IDH-mutant glioma that can be targeted therapeutically. MethodsWe conducted a chemical screen targeting chromatin modifiers in patient derived IDH1-mutant GBM cells. We investigated mechanisms of action of compound hits and their combinations through cell-based functional assays, live-cell imaging, Western blot, CRISPR knockout, RNA-seq and ChIP experiments. The therapeutic concept was validated in vivo using chemical inhibitors GSK-J4 and Belinostat in an orthotopic GBM model. ResultsWe identified the H3K27me3 demethylase (KDM6) inhibitor GSK-J4 and histone deacetylase inhibitor Belinostat as potent, genotype-selective agents against IDH1-mutant glioma. RNA-sequencing on paired wild-type and IDH1R132H cells revealed inhibition of cholesterol biosynthesis and activation of cellular stress in IDH1R132H cells, which were reversible with a mutant IDH1 inhibitor. GSK-J4 caused further repression of cholesterol biosynthesis pathway genes through H3K27me3 deposition and exacerbated the ATF4-mediated integrated stress response. Belinostat inhibited anti-apoptotic pathways through activation of TGF-{beta} signaling and induced cell cycle arrest. Together, the GSK-J4 and Belinostat combination activated DDIT3/CHOP-dependent apoptosis in IDH1-mutant cells and extended survival in an IDH1-mutant orthotopic model in vivo. ConclusionsThese results provide a possible therapeutic approach that exploits epigenetic vulnerabilities of IDH-mutant gliomas. Key points- Combination of GSK-J4 and Belinostat selectively targets IDH1-mutant cells. - GSK-J4 downregulates cholesterol biosynthesis and activates an ATF4-mediated stress response. - Belinostat activates the TGF{beta} pathway, induces G2/M arrest and inhibits anti-apoptotic pathways. Importance of the studyIDH1/2 genes are frequently mutated in low grade glioma and secondary glioblastoma. These tumors exhibit a distinct epigenomic signature with increased DNA and histone methylation; therefore, identifying and exploiting their epigenetic vulnerabilities may lead to effective therapies. We discovered that targeting of KDM6A/6B together with HDACs provides a promising therapeutic approach for IDH1-mutant glioma.

cancer biology↗

bioRxiv2019

Maternal circulating syncytiotrophoblast-derived extracellular vesicles contain biologically active 5’-tRNA halves

The placenta releases syncytiotrophoblast-derived extracellular vesicles (STB-EV) into the maternal circulation throughout gestation. STB-EV dependent signalling is believed to contribute to the widespread maternal adaptive physiological changes seen in pregnancy. Transfer RNA (tRNA) halves have been identified in vesicles released from other human and murine organ systems, which alter gene expression in target cells. Here, we characterise tRNA-half expression in STB-EV and demonstrate biological activity of a highly abundant tRNA-half. Short RNA from ex-vivo, dual-lobe placental perfusion STB-EV was sequenced, showing that most (>95%) comprised tRNA species. Whole placental tissue contained <50% tRNA species, suggesting selective packaging and export of tRNA into STB-EV. Most tRNA within STB-EV were 5-tRNA halves cleaved at 30-32 nucleotides. The pattern of tRNA expression differed depending on the size/origin of the STB-EV; this was confirmed by qPCR. Protein synthesis was suppressed in human fibroblasts when they were cultured with a 5-tRNA half identified from STB-EV sequencing. This study is the first to evaluate tRNA species in STB-EV. The presence of biologically active 5-tRNA halves, specific to a vesicular origin, suggests a novel mechanism for maternal-fetal signalling in normal pregnancy.

physiology↗

bioRxiv2019

CGAT-core: a python framework for building scalable, reproducible computational biology workflows

In the genomics era computational biologists regularly need to process, analyse and integrate large and complex biomedical datasets. Analysis inevitably involves multiple dependent steps, resulting in complex pipelines or workflows, often with several branches. Large data volumes mean that processing needs to be quick and efficient and scientific rigour requires that analysis be consistent and fully reproducible. We have developed CGAT-core, a python package for the rapid construction of complex computational workflows. CGAT-core seamlessly handles parallelisation across high performance computing clusters, integration of Conda environments, full parameterisation, database integration and logging. To illustrate our workflow framework, we present a pipeline for the analysis of RNAseq data using pseudoalignment.\n\nAvailabilityCGAT-core is freely available under an MIT licence for installation and use, including source code at https://github.com/cgat-developers/cgat-core\n\nContactandreas.heger@imm.ox.ac.uk (AH), david.sims@imm.ox.ac.uk (DS), adam.cribbs@imm.ox.ac.uk (AC)\n\nSupplementary information:

genomics↗

bioRxiv2018

Epigenetic inactivation of oncogenic brachyury (TBXT) by H3K27 histone demethylase controls chordoma cell survival

The expression of the transcription factor brachyury (TBXT) is normally restricted to embryonic development and its silencing after mesoderm development is epigenetically regulated. In chordoma, a rare tumour of notochordal differentiation, TBXT acts as a putative oncogene, and we hypothesised that its expression could be controlled through epigenetic inhibition. Screening of five chordoma cell lines revealed that only inhibitors of the histone 3 lysine 27 demethylases KDM6A (UTX) and KDM6B (Jmjd3) reduce TBXT expression and lead to cell death, findings validated in primary patient-derived culture systems. Pharmacological inhibition of KDM6 demethylases leads to genome-wide increases in repressive H3K27me3 marks, accompanied by significantly reduced TBXT expression, an effect that is phenocopied by the dual genetic inactivation of KDM6A/B using CRISPR/Cas9. Transcriptional profiles in response to a novel KDM6A/B inhibitor, KDOBA67, revealed downregulation of critical genes and transcription factor networks for chordoma survival pathways, whereas upregulated pathways were dominated by stress, cell cycle and pro-apoptotic response pathways.\n\nThis study supports previous data showing that the function of TBXT is essential for maintaining notochord cell fate and function and provides further evidence that TBXT is an oncogenic driver in chordoma. Moreover, the data suggest that TBXT can potentially be targeted therapeutically by modulating epigenetic control mechanisms such as H3K27 demethylases.

cancer biology↗