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McLaughlin, J.

Publications and source records attributed to McLaughlin, J..

17 recordsLinked to original sources

An AI-powered cloud biofoundry for autonomous biological research

Autonomous experimentation, where an automated system designs, performs, analyzes, and iteratively improves experiments with minimal human intervention represents a transformative scientific research paradigm. However, it remains hampered by the disconnect between computational design and experimental execution. Here we present iCloudBiofoundry, a cloud-accessible, scalable, and self-evolving platform that bridges this divide. A scientific multi-agent system, iBioGenie, plans research workflows by converting natural language research objectives into testable hypotheses and experimentally grounded protocols using literature, databases, and computational tools. A physical AI layer, BiofoundryAI, translates them into executable workflows that run autonomously on distributed robotic biofoundries, and collects the data for iterative design. We demonstrate the end-to-end capabilities of iCloudBiofoundry across three representative case studies spanning enzyme retrieval, protein engineering, and metabolic engineering. By integrating agentic AI with physical AI, iCloudBiofoundry provides a cloud accessible platform that unifies computational design and robotic execution, enabling autonomous biological research.

synthetic biology↗

NM-RARe: A FRAMEWORK FOR REGIONAL ARTHROPOD CONSERVATION ASSESSMENT: INSIGHTS FROM NEW MEXICO

Arthropods represent the most species-rich animal group on the planet, yet they remain largely overlooked in formal conservation planning. New Mexico is a US state with exceptional biodiversity, including numerous endemic, rare, and threatened arthropod species. Recent attention to global insect declines has highlighted the need to document possible threats to and declines of New Mexico insects and other arthropods. All terrestrial arthropods in New Mexico lacked state-level regulatory protection until 2025, and baseline data on the taxonomy, ecology, geographic distribution and conservation needs for most New Mexico arthropod species remained absent. To address this gap, we developed the New Mexico Rare Arthropod Resource (NM-RARe), a publicly accessible regional database for arthropod species and subspecies of conservation concern in New Mexico. Drawing from multiple vetted sources, we compiled an initial working list of 7,018 taxa and conducted 261 preliminary IUCN Red List assessments and 185 NatureServe state rank assessments, covering 285 total taxa. Of those assessed by IUCN Red List standards, 52 were subspecies and 209 were species level assessments, 165 of which met the criteria for inclusion and were incorporated into the NM-RARe database (https://nmrare.org/). Ninety-three of the pollinating insect species from NM-RARe were then formally incorporated into New Mexico's 2025 State Wildlife Action Plan (SWAP), representing a significant conservation milestone. Beyond its immediate regional impact, NM-RARe presents a standardized, scalable methodology adaptable to any region or taxonomic group, offering a replicable framework for arthropod conservation assessment worldwide.

ecology↗

AI semantics for biomedical data integration

Researchers increasingly need to explore hypotheses that span multimodal data across different scales, organisms, and domains. In practice, this requires connecting knowledge across fragmented databases with incompatible APIs and heterogeneous annotation practices. Large language model (LLM) agents can automate this data integration process, but grounding LLM agent outputs in scientifically correct sources of truth remains a significant challenge. Here we describe our deployment of a novel AI semantics workflow using LLM agents to enable scalable data integration, grounded in biological knowledge in the form of ontologies. Our workflow comprises (1) a multi-agent system curating scientific knowledge across ontologies using the Ontology Lookup Service (OLS) as grounding; (2) an LLM embedding service to enable interoperability between scientific databases by mapping ontology terms; and (3) GrEBI, a knowledge graph and Model Context Protocol (MCP) server enabling LLM agents to conduct cross-cutting, multi-omic biomedical queries.

bioinformatics↗

Historic and contemporary museum specimens implicate Northern Red-backed Vole (Clethrionomys rutilus) as borealpox host as early as 1990s

Borealpox virus (BRPV; formerly Alaskapox) is an orthopoxvirus that has caused seven reported human infections in Alaska since 2015, including a fatal case in 2023. The natural reservoir of BRPV is unknown, although previous investigations have raised the possibility of wild small mammals transmitting the virus to humans, either through direct contact or via domestic cats and dogs. To understand which species may be involved in the maintenance and/or spillover of BRPV in Alaska, we trapped and sampled wild small mammals (including voles, shrews, and squirrels) in 2021 and 2024 near reported human case locations in Fairbanks and the Kenai Peninsula, respectively. We found evidence of previous exposure to orthopoxviruses in five species (including the House Mouse, Mus musculus) and detected BRPV DNA as well as viable virus in Northern Red-backed Voles (Clethrionomys rutilus). Further, screening of tissues from historical museum specimens revealed BRPV DNA in C. rutilus specimens collected in Denali National Park and Preserve in 1998 and 1999, 17 years before the first reported human case of BRPV. Phylogenomic analysis of all human and animal BRPV isolates strongly supports the hypothesis of local human infections through multiple spillover events. These findings suggest C. rutilus as a possible reservoir species for BRPV and indicate that BRPV has been present in Alaskan wild small-mammal populations for at least 25 years. Our study highlights the potential of museum collections to elucidate the temporal, spatial, and host ranges of emerging pathogens. Further museum- and field-based sampling will clarify the true geographic range of BRPV, which is closely related to Old World orthopoxviruses and may be circulating beyond North America.

ecology↗

Systematic mapping of emergent transcriptional states in interacting single-cell dyads by Cell-Cell-seq

Cell-cell interactions drive rapid and heterogeneous changes in gene expression, yet most transcriptomic methods either dissociate cells, losing pair identity and interaction timing, or infer communication indirectly from ligand-receptor co-expression. Here we present Cell-Cell-seq, a scalable workflow for profiling defined cell pairs ("dyads") with single-cell transcriptomic resolution. Cell-Cell-seq uses cavity-containing hydrogel microparticles (Nanovials) to confine two cells, synchronize contact onset, protect fragile conjugates during handling and sorting, and interface directly with droplet-based RNA sequencing. Using antigen-matched prostate tumor cells and engineered T cells as a model system, Cell-Cell-seq captured thousands of tumor-T cell dyads and revealed broad functional and transcriptional heterogeneity across interactions. Dyads unmasked transient activation programs that were obscured in standard well-plate co-culture, consistent with asynchronous contact in bulk assays. To distinguish interaction-induced programs from the composite nature of dyad transcriptomes, we developed a pseudo-mixing framework that generates in silico pseudo-dyads to construct an empirical null distribution under "no interaction," enabling statistically robust identification of emergent genes and partner-resolved attribution of responses. Dyad-resolved analysis further revealed coordinated cross-cell programs, including coupled chemokine expression consistent with bidirectional paracrine signaling and inverse coupling between tumor immunoregulatory programs and T cell activation. Finally, we introduce ccRepair to correct compositional dilution in mixed transcriptomes, improving interpretability while preserving genuine cross-cell coordination. Together, Cell-Cell-seq provides a generalizable platform for dissecting immune synapse biology and mapping interaction-dependent programs across heterogeneous cell populations, with applications in profiling tumor-immune communication and functionally screening immunotherapies.

bioengineering↗

Distinct p21 dynamics drive alternative routes to whole-genome duplication through a common CDK4/6-dependent polyploid G0 state

Whole-genome duplication (WGD) fuels tumor evolution and therapy resistance, yet the molecular mechanisms governing the switch from the canonical mitotic cell cycle to the endoreplication cycle remain unclear. Here, we combine single-cell proteomics, manifold learning, and live-cell imaging to map the intersection of the mitotic and endoreplication cycles in breast cancer cells exposed to genotoxic agents. We identify two distinct routes to WGD driven by distinct p21 dynamics. High p21 induction induces G2 exit and endocycling, whereas insufficient p21 permits mitotic entry followed by slippage and endomitosis. This therapy-induced switch acts as a facultative stress response, generating drug-resistant polyploid populations that propagate genomic instability through replication stress and the generation of replication-competent micronuclei. Both paths to WGD converge on a common polyploid G0 state dependent on cyclin D1:CDK4/6 activity to complete the transition to the endoreplication cycle, revealing a shared vulnerability. Sequential treatment with genotoxic agents followed by CDK4/6 inhibitors preserves the cytotoxic efficacy of DNA-damaging drugs while simultaneously blocking entry into the endoreplication cycle and WGD-driven evolutionary rescue. These findings reveal the molecular rules governing the switch from the mitotic to endoreplication cycle and highlight the potential of WGD-blocking drugs as adjuvant therapies to inhibit drug resistance and suppress tumor evolution.

cell biology↗

International Mouse Phenotyping Consortium: Investigating gene function and providing insights into human disease.

The International Mouse Phenotyping Consortium (IMPC; https://www.mousephenotype.org/) web portal contains phenotype data for mouse protein-coding genes derived from analysis of data obtained in a systematic and high-throughput fashion from knock-out lines produced by IMPC. The project has produced >1,400 mouse models of human disease that recapitulate phenotypes observed in patients. Over 8000 papers rely on data or reagents generated by IMPC, demonstrating the impact of the project on the research and clinical communities, and IMPC data is incorporated into other resources, such as MGI, Open Targets and UniProt. Data release (DR23.0, 2025) contains > 100 million data points from 9,277 genes and identified 113,803 significant phenotypes. To manage efficient access to this quantity of high dimensional data the IMPC web portal has been rebuilt using a cloud native architecture. The modern user interface retains the look and feel of the original portal with improvements identified through a usability study. New data visualisation and training materials for large scale data access through the API have also been developed to make the resource easier to use. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=79 SRC="FIGDIR/small/681205v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@199243borg.highwire.dtl.DTLVardef@119c12forg.highwire.dtl.DTLVardef@1da1a27org.highwire.dtl.DTLVardef@1eb141d_HPS_FORMAT_FIGEXP M_FIG C_FIG

genetics↗

Investigating microbiota differences across chronic pancreatitis, influenced by lifestyle and genetic determinants

BackgroundChronic pancreatitis (CP) is a multifaceted and irreversible inflammatory condition that impacts both endocrine and exocrine pancreatic functions. Whilst there is evidence of a general intestinal microbial dysbiosis, differences across CP resulting from diverse triggers remains poorly elucidated. MethodsIn this study, we investigated how different CP triggers, namely alcohol-induced CP (AIP) and CFTR-related CP (CFRP), might undermine differences across microbiota structure and predicted function. Faecal samples from 25 CP participants were collected, alongside 9 healthy controls for microbiota analyses. Both full and short (V4) 16S rRNA sequencing was performed, including predicted functionality using PICRUSt2. Clinical metadata was integrated to investigate relationships with microbiota structure and predicted functionality with ordination-based approaches. ResultsMicrobiota diversity patterns between groups varied slightly by sequencing approach, with differences across common core and rarer satellite taxa diversity evident. Importantly, microbiota compositional profiles were shared between approaches, with control samples clustering closer than CP samples. Between groups, significant differences in microbiota composition were apparent, with the AIP group significantly different to both control and CFRP groups across various microbiota partitions (P < 0.05). Notable genera drove the observed dissimilarity, including Bifidobacterium, Faecalibacterium, and Ruminococcus, which were decreased in relative abundance across CP. Predictive functional analyses further demonstrated increased similarity of controls as compared to CP groups. Significant variation across both microbiota structure and predicted function was explained by CP subtype (P < 0.01). When compared back to controls, the relative abundance of various predicted functional pathways from both the core and satellite taxa was significantly different across groups (P < 0.05). ConclusionsOverall, we demonstrate that gut microbiota structure and predicted function differs between not only healthy controls and CP, including across CP subtypes themselves. Various taxa with important physiological roles were implicated across CP. Differences in predicted functionality of the core and satellite taxa were evident, relating to microbial processes that may have downstream consequences at the site of the GI tract. Future studies will employ larger cohorts with the incorporation of additional omics-based approaches. This will better elucidate differences in microbiota structure and functionality across CP, including relationships with pancreatic-based clinical outcomes.

microbiology↗

Colonic inflammation modulates the intestinal circadian landscape

Inflammatory bowel disease (IBD) is a chronic inflammatory condition that carries significant morbidity. The circadian (24h) clock regulates many aspects of immunity and circadian disruption is implicated in inflammatory disease. We examined the impact of acute dextran sulphate sodium-induced colitis on the intestinal circadian landscape and investigated consequences of intestinal epithelial cell (IEC) clock disruption on immune function in health and under inflammatory stress. Within the inflamed colon, we observed attenuated IEC clock function. Furthermore, de novo oscillations in numbers of colonic regulatory T cells emerged, associated with diurnal variation in proliferation and activation markers. IEC-specific deletion of core clock gene Bmal1 drove alterations in the rhythmic colonic transcriptome (impacting key immune pathways) and marked damping of microbiota rhythmicity. IEC-specific Bmal1 deletion did not impact colitis severity. These results highlight the impact of colonic inflammation on circadian processes and suggest that circadian logic could be applied in IBD treatment.

immunology↗

A general strategy for generating expert-guided, simplified views of ontologies

Annotation of biomedical entities with widely used, well-structured ontologies and ontology-aware tools ensures data and analyses are Findable, Accessible, Interoperable, and Reusable (FAIR). Standardized terms with synonyms support lexical search, while ontology structure enables biologically meaningful grouping of annotations, such as by location and type. However, ontologies serving diverse communities are often more complex than needed for specific applications, creating barriers to adoption by researchers and resource developers. For example, cell atlases often attempt simplifications by manually building term hierarchies linking to cell type and anatomy ontologies, but these may include relationship types unsuitable for grouping annotations. We present tools for validating human expert curated term hierarchies, developed in two human reference atlas projects, against ontology structures. The tools provide tabular statistics plus graphical views of matching and non-matching terms and relationships to support discussion and conflict resolution. The HuBMAP Human Reference Atlas (HRA) effort is used to validate the approach and tools, and the Human Developmental Cell Atlas is featured as a use case.

bioinformatics↗

The NHGRI-EBI GWAS Catalog: standards for reusability, sustainability and diversity

The NHGRI-EBI GWAS Catalog serves as a vital resource for the genetic research community, providing access to the most comprehensive database of human GWAS results. Currently, it contains close to 7,000 publications for more than 15,000 traits, from which more than 625,000 lead associations have been curated. Additionally, 85,000 full genome-wide summary statistics datasets - containing association data for all variants in the analysis - are available for downstream analyses such as meta-analysis, fine-mapping, Mendelian randomisation or development of polygenic risk scores. As a centralised repository for GWAS results, the GWAS Catalog sets and implements standards for data submission and harmonisation, and encourages the use of consistent descriptors for traits, samples and methodologies. We share processes and vocabulary with the PGS Catalog, improving interoperability for a growing user group. Here, we describe the latest changes in data content, improvements in our user interface, and the implementation of the GWAS-SSF standard format for summary statistics. We address the challenges of handling the rapid increase in large-scale molecular quantitative trait GWAS and the need for sensitivity in the use of population and cohort descriptors while maintaining data interoperability and reusability.

genetics↗

Suppression of NRF2-dependent cancer growth by a covalent allosteric molecular glue

The NRF2 transcription factor is constitutively active in cancer where it functions to maintain oxidative homeostasis and reprogram cellular metabolism. NRF2-active tumors exhibit NRF2-dependency and resistance to chemo/radiotherapy. Here we characterize VVD-065, a first-in-class NRF2 inhibitor that acts via an unprecedented allosteric molecular glue mechanism. In the absence of stress or mutation, NRF2 is rapidly degraded by the KEAP1-CUL3 ubiquitin-ligase complex. VVD-065 specifically and covalently engages C151 on KEAP1, which in turn promotes KEAP1-CUL3 complex formation, leading to enhancement of NRF2 degradation. Previously reported C151-directed compounds decrease KEAP1-CUL3 interactions and stabilize NRF2, thus establishing KEAP1_C151 as a tunable regulator of the KEAP1-CUL3 complex and NRF2 stability. VVD-065 inhibited NRF2-dependent tumor growth and sensitized cancers to chemo/radiotherapy, supporting an open Phase I clinical trial (NCT05954312).

cancer biology↗

CCQM-P199: Interlaboratory comparability study of HIV-1 RNA copy number quantification

Infection with human immunodeficiency virus (HIV)-1 leads to acquired immunodeficiency syndrome (AIDS) if left untreated. According to UN figures, approximately 39 million people globally were living with HIV in 2022, with 76% of those individuals accessing antiretroviral therapy. Measurement of plasma viral RNA load using calibrated nucleic acid amplification tests (like reverse transcription quantitative PCR, RT-qPCR) is routinely performed to monitor response to treatment and ultimately prevent viral transmission. RNA quantities measured by commercial tests can vary over many orders of magnitude, from trace single copy levels to, in cases, over 109 /mL of plasma, presenting an analytical challenge for calibrating across a broad measurement range. Interlaboratory study CCQM-P199 "HIV-1 RNA copy number quantification" (April to September 2019) was conducted under the auspices of the Consultative Committee for Amount of Substance (CCQM) Nucleic Acid analysis Working Group (NAWG), with the aims of supporting national metrology institutes (NMIs) and designated institutes (DIs) development of the capacity and evaluating candidate reference measurement procedures for applied viral nucleic acid measurements. Thirteen laboratories participated in CCQM-P199 and were requested to report the RNA copy number concentration, expressed in copies per microliter, of the HIV-1 group specific antigen (gag) gene of in vitro transcribed RNA molecules at low ({approx} 103 /L) and high concentration ({approx} 109 /L) (Study Materials 1 and 2, linked by gravimetric dilution) and purified genomic RNA from cultured virus (Study Material 3). Study Materials 1 and 3 were measured by participants using one-step reverse transcription digital PCR (RT-dPCR) (Bio-Rad reagents) and/or two-step RT-dPCR with alternative cDNA synthesis reagents. Study Material 2 was measured by both RT-dPCR (one-step) (n = 4) and orthogonal methods: single molecule flow cytometric counting (n = 2), high performance liquid chromatograph (HPLC) (n = 1) and isotype dilution-mass spectrometry (ID-MS) (n = 1). Interlaboratory reproducibilities (expressed as %CV) were 21.4 %, 15.3 % and 22.0 % for Study Materials 1, 2 and 3 respectively. Analysis of overdispersion showed that the interlaboratory variation for all three Study Materials was not accounted for in their reported uncertainties, indicating uncharacterized sources of variation remain. Although the mean values of RT-dPCR and orthogonal method results were not statistically significantly different (p = 0.46), the extrapolated mean Study Material 2 results were higher than mean Study Material 1 results (1196 vs. 808 /L; p < 0.05). Follow-up analysis of Study Material 2 purity by ultra-performance liquid chromatography (UPLC) indicated higher molecular weight (MW) impurities constituted 16.6 % of the molecules, which are hypothesised to be the cause of the HPLC and ID-MS results being higher than the majority of Study Material 1 and 2 results. This study demonstrates that reproducible measurement of RNA templates was achieved by metrology laboratories, illustrating the potential of RT-dPCR combined with complimentary orthogonal approaches to support traceability and precision of contemporary methods for RNA quantification. This study also highlighted that detailed characterization of RNA materials and sources of bias affecting measurements such as RT efficiency is needed to further establish RT-dPCR as a primary reference measurement procedure for RNA copy number quantification.

molecular biology↗

Standardisation of cell-free DNA measurements: An International Study on Comparability of Low Concentration DNA Measurements using cancer variants

For the impact of genomic testing from liquid biopsies to be maximized, mechanisms to ensure reproducible and comparable test performance will be required. This can be established and maintained through reference measurement procedures and materials with property values that are internationally comparable through traceability to a common standard. To achieve this objective, an interlaboratory study was organised to explore digital PCR (dPCR) for standardisation of cell-free DNA (cfDNA) quantification. Blinded samples of wild-type/variant mixtures of two DNA sequences (BRAF p.V600E single nucleotide variant or EGFR exon 19 deletion) were provided to 12 laboratories. Laboratories independently designed and applied dPCR assays to determine absolute and relative quantities, with no guidance provided to harmonise the approach. The mean and coefficient of variation (CV) of copy number concentrations for variant sequences were 18 copies/L (CV 7.2%) (BRAF variant sample) and 9 copies/L (CV 25%) (EGFR variant sample) while the mean variant allele frequencies (vAF) were 8.0% (CV 5.3%) and 0.080% (CV 29%) respectively. This study demonstrated that dPCR was capable of exceptional technical accuracy for variant copy number concentration and vAF, even when different assays and platforms were used. This implies that dPCR offers a unique analytical methodology that can be deployed globally in supporting comparability for cfDNA testing based on the existing framework of the International System of units of measurement.

genetics↗

Defining T cell receptor repertoires using nanovial-based affinity and functional screening

The ability to selectively bind to antigenic peptides and secrete cytokines can define populations of cells with therapeutic potential in emerging T cell receptor (TCR) immunotherapies. We leverage cavity-containing hydrogel microparticles, called nanovials, each coated with millions of peptide-major histocompatibility complex (pMHC) monomers to isolate antigen-reactive T cells. T cells are captured and activated by pMHCs and secrete cytokines on nanovials, allowing sorting based on both affinity and function. The TCRs of sorted cells on nanovials are sequenced, recovering paired {beta}-chains using microfluidic emulsion-based single-cell sequencing. By labeling nanovials having different pMHCs with unique oligonucleotide-barcodes we could link TCR sequence to targets with 100% accuracy. We identified with high specificity an expanded repertoire of functional TCRs targeting viral antigens compared to standard techniques. One-sentence SummaryAffinity and secretion-based screening of antigen-specific T cells using nanovials defines a functional TCR repertoire

bioengineering↗

Isolation and characterisation of watermelon (Citrullus lanatus) extracellular vesicles and their cargo

Extracellular vesicles (EVs) facilitate cell-cell communication in animals and are integral to many physiological and pathological processes. Evidence for the presence and function of EVs in plants is limited. Here, we report that EVs derived from watermelon fruit mesocarp are of similar size and morphology to the animal EV subtype known as exosomes. Analysis of EV constituents revealed that watermelon EVs are negative for endoplasmic reticulum markers, and that the miRNA and protein profiles differ from that of watermelon mesocarp cells, suggesting that these EVs are actively synthesised and are not merely cellular debris. Furthermore, we report a panel of proteins found in in watermelon EVs as well as the published proteomes of grape, grapefruit, lemon and Arabidopsis thaliana EVs that are novel potential plant EV markers. Bioinformatic analyses suggest that plastids and multivesicular bodies are likely sites of biogenesis for EVs from watermelon and other plants. Predicted functional roles of watermelon EVs include development and metabolism, with several of their cargo molecules likely to be key in regulation of fruit development and ripening. Further understanding of how EVs may contribute to these processes would improve understanding of plant cell-cell communication and could aid in the harnessing of plant EVs for greater temporal control of crop development/ripening for the agricultural and retail industries.

plant biology↗

Differential expression of soluble receptor for advanced glycation end-products (sRAGE) in mice susceptible or resistant to chronic colitis

AimsIdentifying the factors that contribute to chronicity in inflamed colitic tissue is not trivial. However, in mouse models of colitis, we can investigate at preclinical timepoints. We sought to validate murine Trichuris muris infection as a model for identification of factors that promote development of chronic colitis.\n\nMethodsWe compared preclinical changes in mice with a resolving immune response to T. muris (resistant) versus mice that fail to expel the worms and develop chronic colitis (susceptible). Findings were then validated in healthy controls and patients with suspected or confirmed IBD.\n\nResultsThe Receptor for Advanced Glycation End Products (Rage) was highly dysregulated between resistant and susceptible mice prior to the onset of any pathological signs. Increased soluble RAGE (sRAGE) in the serum and faeces of resistant mice correlated with reduced colitis scores. Mouse model findings were validated in a preliminary clinical study: faecal sRAGE was differentially expressed in patients with active IBD compared with IBD in remission, patients with IBD excluded or healthy controls.\n\nConclusionPre-clinical changes in mouse models can identify early pathways in the development of chronic inflammation that human studies cannot. We identified the decoy receptor sRAGE as a potential mechanism for protection against chronic inflammation in colitis in mice and humans. We propose that the RAGE pathway is clinically relevant in the onset of chronic colitis, and that further study of sRAGE in IBD may provide a novel diagnostic and therapeutic target.

immunology↗