Biology subjects

Lau, R.

Publications and source records attributed to Lau, R..

11 recordsLinked to original sources

bioRxiv2026

Pannexin 1 inhibition reduces tumorigenic properties of patient-derived glioblastoma cells through the HIPPO and Wnt signalling pathways

Glioblastoma (GBM) is the most common primary brain tumour, with a median survival of 12-18 months, highlighting a need for new treatment targets. We observed that pannexin 1 (PANX1), a channel-forming glycoprotein important in purinergic signalling, is upregulated in GBM compared to normal tissue and expressed throughout patient tumours. Western blot analysis of patient-derived GBM cell lines revealed significantly increased PANX1 expression in these primary lines compared to brain tissue and control glial cells. Bulk RNA-sequencing compared the gene expression of GBM cells devoid of PANX1 via CRISPR/Cas9 deletion (PANX1-KO) compared to controls. Gene Ontology and KEGG gene set analyses revealed PANX1-KO in GBM cells affects cell surface and cell junction components, processes, and pathways, including the HIPPO pathway, in addition to critically downregulating {beta}-catenin mRNA and other components of the Wnt pathway. The deletion of PANX1 resulted in a disruption of the {beta}-catenin protein and a dramatic reduction in migration and cell growth. Pharmacological inhibition of PANX1 in GBM cells with Probenecid (PBN) and Spironolactone (SPIR) demonstrated a significant reduction in live cell numbers and migration via scratch assay. Both blockers dramatically decreased F-actin filament formation, and the cellular localization of beta-catenin became more intracellular compared to controls. Xenografted GBM tumours showed a reduction in tumour cell viability by bioluminescent imaging and reduced hemorrhaging incidence when treated with PBN. These new insights support further investigation of PANX1 as a potential GBM therapeutic target and its role in multiple cancer signaling pathways that regulate this devastating disease.

cancer biology↗

bioRxiv2026

Orphan GPR84 facilitates uropod de-adhesion to terminate leukocyte diapedesis during inflammation

Leukocyte migration through venular walls is an essential component of effective immunity. While the key molecular players driving the initial steps of this response are known, the terminating signals remain unclear. Here, we have identified a conserved role for GPR84 family GPCRs in successful completion of the final stages of leukocyte extravasation through acutely inflamed vessels. The integration of high resolution intravital imaging with cell-specific genetics revealed that genetic deficiency of GPR84 orthologues in mice and Drosophila, results in defective detachment of transmigrating immune cells from vessel walls. Mechanistically, transcriptomics revealed GPR84-deficient neutrophils exhibit defective actin cytoskeletal regulation and cellular adhesion/de-adhesion. Consistent with this, our fly-murine pipeline shows that GPR84 supports localized and dynamic Rho activation to enable detachment of the immune cell uropod from vessel exit sites. Moreover, pharmacological blockade of GPR84 signaling dampened immune cell migration in multiple murine acute inflammatory settings. Collectively, our findings present GPR84 as a novel physiological regulator of immune cell extravasation that is amenable to therapeutic targeting for modulating leukocyte infiltration into inflamed tissues. SummaryHere we identify the GPR84 family of GPCRs as key regulators of effective immune cell extravasation in vivo. Mechanistically, through integrating genetically tractable Drosophila and murine in vivo models, we show how leukocyte GPR84 supports dynamic Rho-dependent detachment of stretched uropods as these cells exit vessels.

immunology↗

bioRxiv2026

cellGeometry: ultra-fast single-cell deconvolution of bulk RNA-Seq using a geometric solution

Single-cell analysis has rapidly expanded to produce cell atlases encompassing all human tissues. However, computational methods to deconvolute bulk samples using single-cell reference data have failed to keep pace with the increasing data size. Here we present cellGeometry, which uses non-negative geometric deconvolution (NGD), an intuitive vector projection method featuring non-negative matrix regularisation. Using matrix operations, cellGeometry scales to massive datasets and is ultrafast. Benchmarked using simulations from single-cell RNA-Seq datasets with >3 million cells, cellGeometry is more accurate than existing methods and more robust against noise simulating different sequencing chemistries. It identifies outlying residual genes which may unveil pathogenic changes in gene expression and the presence of cell types absent from the reference. cellGeometrys flexible architecture allows merging of single-cell reference signatures to expand the range of cell types being deconvoluted. Validated against real bulk RNA blood and tissue samples, cellGeometry produces more accurate and realistic results.

bioinformatics↗

bioRxiv2025

Spatial patterning of fibroblast TGFβ signaling underlies treatment resistance in rheumatoid arthritis

Treatment-refractory rheumatoid arthritis (RA) is a major unmet need, and the mechanisms driving treatment resistance are poorly understood. To identify molecular determinants of RA non-remission, we performed spatial transcriptomic profiling on pre- and post-treatment synovial tissue biopsies from treatment naive patients who received conventional DMARDs or adalimumab for 6 months. In the baseline biopsies of non-remission patients, we identified significant expansion of fibrogenic fibroblasts marked by high expression of COMP, a fibrosis-associated extracellular matrix protein. COMPhi fibroblasts localized to perivascular niches that, unexpectedly, served as transcriptional hubs for TGF{beta} activity. We identified endothelial-derived Notch signaling as an upstream regulator of fibroblast TGF{beta} signaling via its dual role in driving TGF{beta} isoform expression and suppressing TGF{beta} receptors, generating a proximal-distal gradient of TGF{beta} activity. Further, disruption of steady-state Notch signaling in vitro enabled fibrogenic fibroblast activation. Analysis of post-treatment biopsies revealed marked expansion of COMPhi fibroblasts in non-remission RA patients, despite evidence of successful immune cell depletion, suggesting a spatiotemporal process of fibrogenic remodeling linked to treatment resistance. Collectively, our data implicates targeting of TGF{beta} signaling to prevent exuberant synovial tissue fibrosis as a potential therapeutic strategy for refractory RA.

immunology↗

bioRxiv2025

The acidic N-terminus of HHARI and neddylation are essential for the activation and maintenance of RIG-I-mediated type I interferon response

Human homolog of Ariadne (HHARI) is a RING-between-RING ubiquitin E3 ligase which interacts with cullin-RING E3 ligase (CRL) complexes. HHARI has been implicated in the type-I interferon anti-viral response. However, how HHARI drives interferon signalling is not fully understood and the function of the unique, highly conserved acidic N-terminal domain of the protein is unknown. Here, we show that HHARI stimulates interferon-{beta} secretion and autocrine type-I interferon signalling by directly targeting the viral RNA sensor RIG-I (Retinoic Acid-Inducible Gene I) in a neddylation-dependent manner. This suggests that neddylation inhibition could be used to treat interferonopathies and related diseases. Truncated HHARI containing only the N-terminal acidic/UBA-like domains retained the ability to induce interferon signalling in a neddylation-dependent mechanism. HHARI-mediated interferon-{beta} secretion was enhanced by overexpression of cullins 1-5. The N-terminal acidic/UBA-like domain of HHARI is critical for RIG-I activation and interferon signalling, as removal of these domains inactivated the pro-interferon phenotype. We propose a mechanism by which the N-terminus of HHARI interacts with all neddylated cullins leading to endogenous HHARI activation. This suggests a model in which the N-terminus of HHARI unlocks and activates neddylated cullins, which in turn are required for activation of HHARI itself. As cullins typically form modular cullin-RING ligase super-assemblies our findings imply that the HHARI N-terminus domain is a critical regulator of the versatile CRL system, which, through widespread protein ubiquitylation, controls many eukaryotic cell functions.

immunology↗

bioRxiv2024

An annotated biobank of triple negative breast cancer patient-derived xenografts featuring treatment-naive and longitudinal samples throughout neoadjuvant chemotherapy

Triple negative breast cancer (TNBC) that fails to respond to neoadjuvant chemotherapy (NACT) can be lethal. Developing effective strategies to eradicate chemoresistant disease requires experimental models that recapitulate the heterogeneity characteristic of TNBC. To that end, we established a biobank of 92 orthotopic patient-derived xenograft (PDX) models of TNBC from the tumors of 75 patients enrolled in the ARTEMIS clinical trial (NCT02276443) at MD Anderson Cancer Center, including 12 longitudinal sets generated from serial patient biopsies collected throughout NACT and from metastatic disease. Models were established from both chemosensitive and chemoresistant tumors, and nearly 30% of PDX models were capable of lung metastasis. Comprehensive molecular profiling demonstrated conservation of genomes and transcriptomes between patient and corresponding PDX tumors, with representation of all major transcriptional subtypes. Transcriptional changes observed in the longitudinal PDX models highlight dysregulation in pathways associated with DNA integrity, extracellular matrix interactions, the ubiquitin-proteasome system, epigenetics, and inflammatory signaling. These alterations reveal a complex network of adaptations associated with chemoresistance. This PDX biobank provides a valuable resource for tackling the most pressing issues facing the clinical management of TNBC, namely chemoresistance and metastasis.

cancer biology↗

bioRxiv2023

Integration of Patient-Derived Organoids and Organ-on-Chip Systems: Investigating Colorectal Cancer Invasion within the Mechanical and GABAergic Tumor Microenvironment

Three-dimensional (3D) in vitro models are essential in cancer research, but they often neglect physical forces. In our study, we combined patient-derived tumor organoids with a microfluidic organ-on-chip system to investigate colorectal cancer (CRC) invasion in the tumor microenvironment (TME). This allowed us to create patient-specific tumor models and assess the impact of physical forces on cancer biology. Our findings showed that the organoid-on-chip models more closely resembled patient tumors at the transcriptional level, surpassing organoids alone. Using omics methods and live-cell imaging, we observed heightened responsiveness of KRAS mutant tumors to TME mechanical forces. These tumors also utilized the {gamma}-aminobutyric acid (GABA) neurotransmitter as an energy source, increasing their invasiveness. This bioengineered model holds promise for advancing our understanding of cancer progression and improving CRC treatments. HighlightsO_LIMicrofluidic organ-on-chip system integrated with patient-derived CRC organoids C_LIO_LIPhysical forces influence invasion, particularly in KRAS mutant tumor cells C_LIO_LIGABAergic signaling contributes to increased invasion within a dynamic TME C_LIO_LIThis model explores patient heterogeneity, TME interactions, and cancer progression C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=193 SRC="FIGDIR/small/557797v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@1b181bborg.highwire.dtl.DTLVardef@bc5b6eorg.highwire.dtl.DTLVardef@16b4fcorg.highwire.dtl.DTLVardef@c43b9f_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2022

Antagonistic roles of canonical and alternative RPA in tandem CAG repeat diseases

Tandem CAG repeat expansion mutations cause >15 neurodegenerative diseases, where ongoing expansions in patients brains are thought to drive disease onset and progression. Repeat length mutations will involve single-stranded DNAs prone to form mutagenic DNA structures. However, the involvement of single-stranded DNA binding proteins (SSBs) in the prevention or formation of repeat instability is poorly understood. Here, we assessed the role of two SSBs, canonical RPA (RPA1-RPA2-RPA3) and the related Alternative-RPA (Alt-RPA, RPA1-RPA4-RPA3), where the primate-specific RPA4 replaces RPA2. RPA is essential for all forms of DNA metabolism, while Alt-RPA has undefined functions. RPA and Alt-RPA are upregulated 2- and 10-fold, respectively, in brains of Huntington disease (HD) and spinocerebellar ataxia type 1 (SCA1) patients. Correct repair of slipped-CAG DNA structures, intermediates of expansion mutations, is enhanced by RPA, but blocked by Alt-RPA. Slipped-DNAs are bound and melted more efficiently by RPA than by Alt-RPA. Removal of excess slipped-DNAs by FAN1 nuclease is enhanced by RPA, but blocked by Alt-RPA. Protein-protein interactomes (BioID) reveal unique and shared partners of RPA and Alt-RPA, including proteins involved in CAG instability and known modifiers of HD and SCA1 disease. RPA overexpression inhibits rampant CAG expansions in SCA1 mouse brains, coinciding with improved neuron morphology and rescued motor phenotypes. Thus, SSBs are involved in repeat length mutations, where Alt-RPA antagonistically blocks RPA from suppressing CAG expansions and hence pathogenesis. The processing of repeat length mutations is one example by which an Alt-RPA{leftrightarrow}RPA antagonistic interaction can affect outcomes, illuminating questions as to which of the many processes mediated by canonical RPA may also be modulated by Alt-RPA.

genetics↗

bioRxiv2021

REPROGRAMMING CBX8-PRC1 FUNCTION WITH A POSITIVE ALLOSTERIC MODULATOR

ABSTRACTCanonical targeting of Polycomb Repressive Complex 1 (PRC1) to repress developmental genes is mediated by cell type-specific, paralogous chromobox (CBX) proteins (CBX2, 4, 6, 7 and 8). Based on their central role in silencing and their misregulation associated with human disease including cancer, CBX proteins are attractive targets for small molecule chemical probe development. Here, we have used a quantitative and target-specific cellular assay to discover a potent positive allosteric modulator (PAM) of CBX8. The PAM activity of UNC7040 antagonizes H3K27me3 binding by CBX8 while increasing interactions with nucleic acids and participation in variant PRC1. We show that treatment with UNC7040 leads to efficient PRC1 chromatin eviction, loss of silencing and reduced proliferation across different cancer cell lines. Our discovery and characterization of UNC7040 not only revealed the most cellularly potent CBX8-specific chemical probe to date, but also corroborates a mechanism of polycomb regulation by non-histone lysine methylated interaction partners.

synthetic biology↗

bioRxiv2017

Deciphering microbial interactions in synthetic human gut microbiome communities

The human gut microbiota comprises a dynamic ecological system that contributes significantly to human health and disease. The ecological forces that govern community assembly and stability in the gut microbiota remain unresolved. We developed a generalizable model-guided framework to predict higher-order consortia from time-resolved measurements of lower-order assemblages. This method was employed to decipher microbial interactions in a diverse 12-member human gut microbiome synthetic community. We show that microbial growth parameters and pairwise interactions are the major drivers of multi-species community dynamics, as opposed to context-dependent (conditional) interactions. The inferred microbial interaction network as well as a top-down approach to community assembly pinpointed both ecological driver and responsive species that were significantly modulated by microbial inter-relationships. Our model demonstrated that negative pairwise interactions could generate history-dependent responses of initial species proportions on physiological timescales that frequently does not originate from bistability. The model elucidated a topology for robust coexistence in pairwise assemblages consisting of a negative feedback loop that balances disparities in monospecies fitness levels. Bayesian statistical methods were used to evaluate the constraint of model parameters by the experimental data. Measurements of extracellular metabolites illuminated the metabolic capabilities of monospecies and potential molecular basis for competitive and cooperative interactions in the community. However, these data failed to predict influential organisms shaping community assembly. In sum, these methods defined the ecological roles of key species shaping community assembly and illuminated network design principles of microbial communities.

systems biology↗

bioRxiv2017

Construction of soil defined media using quantitative exometabolomic analysis of soil metabolites

Exometabolomics enables analysis of metabolite utilization of low molecular weight organic substances by soil isolates. Environmentally-based defined media are needed to examine ecologically relevant patterns of substrate utilization. Here, we describe an approach for the construction of defined media using untargeted characterization of water soluble soil metabolites. To broadly characterize soil metabolites, both liquid chromatography mass spectrometry (LC/MS) and gas chromatography mass spectrometry (GC/MS) were used. With this approach, 96 metabolites were identified, including amino acids, amino acid derivatives, sugars, sugar alcohols, mono- and di-carboxylic acids, osmolytes, nucleobases, and nucleosides. From this pool of metabolites, 25 were quantified. Water soluble organic carbon was fractionated by molecular weight and measured to determine the fraction of carbon accounted for by the quantified metabolites. This revealed that, community structures, these soil metabolites have an uneven quantitative distribution, with a single metabolite, trehalose accounting for 9.9 percent of much like soil microbial the (< 1 kDa) water extractable organic carbon. This quantitative information was used to formulate two soil defined media (SDM), one containing 23 metabolites (SDM1) and one containing 46 (SDM2). To evaluate SDM for supporting the growth of bacteria found at this field site, we examined the growth of 30 phylogenetically diverse soil isolates obtained using standard R2A medium. The simpler SDM1 supported the growth of up to 13 isolates while the more complex SDM2 supported up to 25 isolates. One isolate, Pseudomonas corrugata strain FW300-N2E2 was selected for a time-series exometabolomics analysis to investigate SDM1 substrate preferences. Interestingly, it was found that this organism preferred lower-abundance substrates such as guanine, glycine, proline and arginine and glucose and did not utilize the more abundant substrates maltose, mannitol, trehalose and uridine. These results demonstrate the viability and utility of using exometabolomics to construct a tractable environmentally relevant media. We anticipate that this approach can be expanded to other environments to enhance isolation and characterization of diverse microbial communities.\n\nHighlights O_LILC/MS and GC/MS analyses of soil extracts revealed a diversity of 96 metabolites.\nC_LIO_LISoil defined media were constructed based on water extractable soil metabolomics data.\nC_LIO_LIThe defined media supported the growth of 25 out of 30 bacterial isolates.\nC_LIO_LIExometabolomics demonstrated preferential consumption of amino acids for one isolate.\nC_LIO_LIThese media can be used to understand environmentally relevant microbial substrate preferences.\nC_LI\n\nAbbreviationsDOM dissolved organic matter; SOM soil organic matter; WEOC water extractable organic carbon; LMWOS low molecular weight organic substances; SDM(1/2) soil defined media (1 and 2); R2A Reasoners 2A agar medium; ORFRC Oak Ridge Field Research Center; LC/MS liquid chromatography mass spectrometry; GC/MS gas chromatography/ mass spectrometry; TOC total organic carbon; HILIC hydrophilic interaction liquid chromatography

microbiology↗