Biology subjects

Hughes, C. S.

Publications and source records attributed to Hughes, C. S..

10 recordsLinked to original sources

bioRxiv2026

Extracellular flux analysis and proteomic profiling indicate ibogaine promotes synaptic plasticity and neural repair by a metabolic preconditioning mechanism

We have examined how ibogaine may enhance synaptic plasticity and neural repair. Extracellular efflux analysis showed that ibogaine (3, 10 or 30 M) produced a rapid (<5 minutes) and concentration-dependent suppression of mitochondrial function and glycolysis in mouse cortical neurons. Cell-based imaging demonstrated this metabolic inhibition was preceded by an elevation of the mitochondrial membrane potential and followed by increased mitochondrial reactive oxygen species levels. Like ibogaine, which blocks potassium channels, mitochondrial Kv1.3 channel (mitoKv1.3) inhibitors produce concordant changes over a similar timeframe. Following treatment with ibogaine (3, 10 or 30 M) for 4 hours, a marked concentration-dependent rebound of energy production occurred 20 hours later suggestive of metabolic preconditioning. Indeed, proteomic profiling showed that oral ibogaine (100 mg/kg) administration to female mice produced changes in spinal cord protein abundance indicative of increasing metabolic stress from 0.25-24 hours that resolved by 72 hours. This was accompanied by activation, inhibition and reactivation of synaptic plasticity and neural repair signaling pathways at 0.25, 4-24 and 72 hours, respectively. Hence, by inducing transient metabolic stress, ibogaine may re-open a neurodevelopmental window characterized by enhanced synaptic plasticity and neural repair. Ibogaine binds with high affinity to the sigma-2 receptor. Like mitoKv1-3 inhibitors and sigma-2 receptor ligands, ibogaine transiently elevated AMP-activated protein kinase (0.25 hours) and temporally suppressed mechanistic target of rapamycin and lipid synthesis pathways (0.25-24 hours) implicated in enhanced synaptic plasticity and neural repair. These findings suggest ibogaine rewires and repairs neural circuits by a metabolic preconditioning mechanism, perhaps involving mitoKv1.3 and the sigma-2 receptor.

pharmacology and toxicology↗

bioRxiv2025

CLM296: a highly selective inhibitor targeting ALDH1A3-driven tumor growth and metastasis in breast cancer

Aldehyde dehydrogenase 1A3 (ALDH1A3) increases tumor growth, metastasis, and chemoresistance in many solid tumors, including triple-negative breast cancer (TNBC), glioblastoma, melanoma, lung, and colon cancers, yet no clinically approved inhibitors exist. Here, we present CLM296, a novel and highly selective ALDH1A3 inhibitor designed to address this unmet need. CLM296 exhibits potent inhibition of ALDH1A3 activity in TNBC cells (half-maximal inhibitory concentration = 2 nM) with no off-target effects on the highly homologous ALDH1A1 isoform. RNA sequencing confirmed its specificity, demonstrating selective suppression of ALDH1A3-regulated gene expression only, and a lack of effect in control cells that have minimal ALDH1A3 expression. Transwell assays showed that CLM296 reduced the increased invasion of cells induced by ALDH1A3. Once daily dosing of 4mg/kg CLM296 in mice specifically reduced ALDH1A3-mediated gene expression in tumors and impeded ALDH1A3-driven tumor growth and lung metastasis in TNBC xenografts. There was no observed toxicity in the mice as evidenced by stable mouse body weights and no significant changes in blood creatinine and ALT levels. Pharmacokinetic studies of CLM296 revealed broad tissue distribution, including tumor, lung, liver, and brain. With oral administration the terminal elimination half-life of CLM296 exceeded 12 hours, resulting in sustained ALDH1A3-inhibiting concentrations beyond 24 hours. Together, these findings establish CLM296 as a potential first-in-class ALDH1A3 inhibitor with high selectivity for ALDH1A3, favorable pharmacokinetics, and a positive preclinical safety profile. CLM296 represents a promising therapeutic candidate to complement standard-of-care treatments in ALDH1A3+ cancers.

cancer biology↗

bioRxiv2024

Long deletion signatures in repetitive genomic regions track somatic evolution and enable sensitive detection of microsatellite instability

Deficiency in the mismatch repair system (MMRd) causes microsatellite instability (MSI) in cancers and determines eligibility for immunotherapy. Here, we show that MMRd tumours harbour long-deletion signatures ([≥]2-5+ base pairs deleted in repetitive regions), which provide new insights into MSI evolution and enable sensitive MSI detection particularly in challenging clinical samples. Long deletions, accumulated through stepwise DNA slippage errors, are significantly more prevalent in metastatic MMRd tumours compared to primary tumours. Importantly, we show that long-deletion signatures harbour features that are distinct from background noise, making them robustly detectable even in shallow whole genome sequencing (sWGS, [~]0.1X coverage) of formalin-fixed samples. We constructed a machine learning classifier that uses these distinct features to detect Microsatellite Instability in LOw-quality (MILO) samples. MILO achieved 100% accuracy in detecting MSI in sWGS data with only 2%-15% tumour purity and demonstrated promise in identifying MMRd clones in precancerous intestinal lesions. We propose that MILO could be clinically used for the sensitive monitoring of MMRd cancer evolution from early to late stages, using minimal sequencing data from both archival and fresh-frozen samples with low tumour content. SignificanceMutational signatures characterised by long deletions in repetitive genomic regions provide a sensitive route to detect and track MMRd clone evolution, even with low purity shallow whole genome sequencing data.

bioinformatics↗

bioRxiv2024

Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

Loss-of-function (LOF) alterations in tumour suppressor genes cannot be directly targeted. Approaches characterising gene function and vulnerabilities conferred by such mutations are required. Here, we computationally map genetic networks of KMT2D, a tumour suppressor gene frequently mutated in several cancer types. Using KMT2D loss-of-function (KMT2DLOF) mutations as a model, we illustrate the utility of in silico genetic networks in uncovering novel functional associations and vulnerabilities in cancer cells with LOF alterations affecting tumour suppressor genes. We revealed genetic interactors with functions in histone modification, metabolism, and immune response, and synthetic lethal (SL) candidates, including some encoding existing therapeutic targets. Analysing patient data from The Cancer Genome Atlas and the Personalized OncoGenomics Project, we showed, for example, elevated immune checkpoint response markers in KMT2DLOF cases, possibly supporting KMT2DLOF as an immune checkpoint inhibitor biomarker. Our study illustrates how tumour suppressor gene LOF alterations can be exploited to reveal potentially targetable cancer cell vulnerabilities.

bioinformatics↗

bioRxiv2023

ASPSCR1-TFE3 reprograms transcription by organizing enhancer loops around hexameric VCP/p97

The t(X,17) chromosomal translocation, generating the ASPSCR1-TFE3 fusion oncoprotein, is the singular genetic driver of alveolar soft part sarcoma (ASPS) and some Xp11-rearranged renal cell carcinomas (RCC), frustrating efforts to identify therapeutic targets for these rare cancers. Proteomic analysis showed that VCP/p97, an AAA+ ATPase with known segregase function, was strongly enriched in co-immunoprecipitated nuclear complexes with ASPSCR1-TFE3. We demonstrate that VCP is a likely obligate co-factor of ASPSCR1-TFE3, one of the only such fusion oncoprotein co-factors identified in cancer biology. Specifically, VCP co-distributed with ASPSCR1-TFE3 across chromatin in association with enhancers genome-wide. VCP presence, its hexameric assembly, and its enzymatic function orchestrated the oncogenic transcriptional signature of ASPSCR1-TFE3, by facilitating assembly of higher-order chromatin conformation structures as demonstrated by HiChIP. Finally, ASPSCR1-TFE3 and VCP demonstrated co-dependence for cancer cell proliferation and tumorigenesis in vitro and in ASPS and RCC mouse models, underscoring VCPs potential as a novel therapeutic target.

cancer biology↗

bioRxiv2020

Recombinant T cell receptors specific for HLA-A*02:01-restricted neoepitopes containing KRAS codon 12 hotspot mutations

KRAS codon 12 mutations are among the most common hotspot mutations in human cancer. Using a functional screening platform we set out to identify {beta} T-cell receptors (TCRs) as potential targeting reagents for KRASG12D and/or KRASG12V neoepitopes presented by the prevalent HLA-A*02:01 allele. Here we describe isolation and characterization of three distinct CD8+ T cell clones from a pre-treated 76 year old patient with pancreatic ductal adenocarcinoma (PDAC). One clone was KRASG12V reactive and two clones were KRASG12D reactive. Tetramer staining showed high specificity of each T cell clone for its cognate HLA-A*02:01 restricted KRASG12V or KRASG12D neoepitope (>98% tetramer positive) without appreciable cross-reactivity to wild-type KRAS (<2% tetramer positive). We amplified and sequenced the full-length TCR alpha and beta chains from each of the three T cell clones and determined that these three TCRs comprised distinct combinations of two different TCR alpha chains and two distinct TCR beta chains. We resynthesized these TCR alpha and beta chain nucleotide sequences and reconstituted the original pairs in healthy donor CD8+ T cells by lentiviral transduction, substituting the human {beta} TCR constant gene segments with murine {beta} TCR constant gene segments to prevent mispairing with endogenous TCR subunits. Tetramer analysis and IFN-{gamma} ELISpot analysis confirmed the specificity of each reconstituted TCR for its cognate HLA-A*02:01 restricted KRAS neoepitope. To test cytolytic activity TCR-transduced healthy donor CD8+ T cells were co-cultured with KRASG12V, KRASG12D or KRASwt peptide-pulsed K562-HLA-A*02:01 antigen presenting cells at an effector to target cell ratio of 4:1. Under these conditions we observed neoepitope-specific killing of 16.5% to 19.0% of target cell populations. To assess in vivo activity we developed a KRASG12V/A*02:01 patient-derived xenograft (PDX) mouse model. Over a 56-day period, PDX bearing mice infused with human TCR-transduced T cells had significantly reduced tumor growth and longer survival compared to mice infused with non-transduced control T cells. In conjunction with other therapeutic approaches, immune effector cell therapies expressing these TCRs may improve outcomes for HLA-A*02:01 patients with KRASG12V and/or KRASG12D positive tumors.

immunology↗

bioRxiv2019

Loss of CIC promotes mitotic dysregulation and chromosome segregation defects

CIC encodes a transcriptional repressor and MAPK signalling effector that is inactivated by loss-of-function mutations in several cancer types, consistent with a role as a tumour suppressor. Here, we used bioinformatic, genomic, and proteomic approaches to investigate CICs interaction networks. We observed both previously identified and novel candidate interactions between CIC and SWI/SNF complex members, and also observed novel interactions between CIC and cell cycle regulators and RNA processing factors. We found that CIC loss is associated with an increased frequency of mitotic defects in human cell lines and an in vivo mouse model and with dysregulated expression of mitotic regulators. We also observed aberrant splicing in CIC-deficient cell lines predominantly at 3 and 5 untranslated regions of genes, including genes involved in MAPK signalling, DNA repair, and cell cycle regulation. Our study thus characterises the complexity of CICs functional network and describes the effect of its loss on cell cycle regulation, mitotic integrity, and transcriptional splicing, thereby expanding our understanding of CICs potential roles in cancers. In addition, our work exemplifies how multi-omic, network-based analyses can be used to uncover novel insights into the interconnected functions of pleiotropic genes/proteins across cellular contexts. Simple summaryCapicua (CIC) is a gene that is frequently mutated in several cancer types, including stomach cancers and certain subtypes of brain tumours and sarcomas. CIC, the protein encoded by the CIC gene, has been shown to play a multitude of roles in both normal and cancer cell functions; however, most studies exploring these roles focus on a single aspect of CIC function and may therefore overlook complex interconnected activities in which CIC is involved. In this study, we have used multiple complementary approaches to obtain a broader view of CICs complex functional networks. We observed novel interactions (genetic or physical) between CIC and genes/proteins involved in various aspects of cellular function, including regulation of cell division and processing of RNA molecules. Altogether, our work characterises the complexity of CICs functional network and expands our understanding of its potential roles in cancer.

cancer biology↗

bioRxiv2018

High-flow Nano-chromatography Columns Facilitate Rapid and High-quality Proteome Analysis on Standard Nano-LC Hardware

Optimizing the acquisition of proteomics data collected from a mass spectrometer (MS) requires careful selection of processed material quantities, liquid-chromatography (LC) setup, and data acquisition parameters. The small internal diameter (ID) columns standardly used in nano-chromatography coupled MS result in long per injection overhead times that require sacrifices in design of offline-fractionation and data acquisition schemes. As cohort sizes and the numbers of samples to be analyzed continue to increase, there is a need to investigate methods for improving the efficiency and time of an acquisition (LC + MS). In this work, the ability to improve throughput in single runs or as part of an in-depth proteome analysis of a fractionated sample using standard LC hardware is investigated. Capitalizing on the increased loading capacity of nanochromatography columns with larger IDs, substantially improved throughput with no reduction in detection sensitivity is achieved in single-injection proteome analyses. An optimized 150 m ID column setup is paired with an offline fractionation-concatenation scheme to demonstrate the ability to perform in-depth proteome analysis on-par with current state-of-the-art studies, while minimizing sample loading overhead. Together, these data demonstrate an easy and effective means to improve sample analysis throughput with no reduction in data quality using an approach that is applicable to any standard nano-LC hardware.

biochemistry↗

bioRxiv2018

RawTools: Rapid and Dynamic Interrogation of Orbitrap Data Files for Mass Spectrometer System Management

Optimizing the quality of proteomics data collected from a mass spectrometer (MS) requires careful selection of acquisition parameters and proper assessment of instrument performance. Software tools capable of extracting a broad set of information from raw files, including meta, scan, quantification, and identification data are needed to provide guidance for MS system management. In this work, direct extraction and utilization of these data from Thermo Orbitrap raw files is demonstrated using the RawTools software. RawTools is a standalone tool for extracting meta and scan data directly from raw MS files generated on Thermo Orbitrap instruments. RawTools generates summarized and detailed plain text outputs after parsing individual raw files, including scan rates and durations, duty cycle characteristics, precursor and reporter ion quantification, and chromatography performance. RawTools also contains a diagnostic module that includes an optional preview database search for facilitating informed decision-making related to optimization of MS performance based on a variety of metrics. RawTools has been developed in C# and utilizes the Thermo RawFileReader library, and thus can process raw MS files with high speed and high efficiency on all major operating systems (Windows, MacOS, Linux). To demonstrate the utility of RawTools, extraction of meta and scan data from both individual and large collections of raw MS files was carried out to identify problematic characteristics of instrument performance. Taken together, the combined rich feature-set of RawTools with the capability for interrogation of MS and experiment performance makes this software a valuable tool for proteomics researchers.

bioinformatics↗

bioRxiv2017

Genotoxin-induced transcriptional repression regulates selective protein aggregation

Upon genotoxic stress, dynamic relocalization events control DNA repair, and alterations of the transcriptome and proteome enabling stress recovery. How these events may influence one another is only partly known. Beginning with a cytological screen for genome maintenance proteins that move under stress, we find that, upon alkylation stress, the splicing factor Hsh155 localizes to both intranuclear and cytoplasmic protein quality control aggregates. Under stress, an ordered sequestration of Hsh155 occurs at nuclear and then cytoplasmic aggregates in a manner that is regulated by molecular chaperones. This dynamic behavior is preceded by a decrease in splicing efficiency. While DNA replication stress signaling is not required for Hsh155 sequestration, Hsh155 aggregation is cell cycle and TOR pathway dependent. Indeed, loss of a TORC1 regulated ribosomal protein gene transcription factor Sfp1 allows general aggregate formation but prevents Hsh155 recruitment. Together, our analyses suggest a model in which some proteins evicted from chromatin undergoing transcriptional remodeling during stress are targeted to protein quality control sites.

cell biology↗