Biology subjects

Campbell, A. D.

Publications and source records attributed to Campbell, A. D..

11 recordsLinked to original sources

bioRxiv2026

The transition to postpartum lactation establishes a state of maternal antiviral resilience

Influenza A virus (IAV) causes severe disease during late pregnancy, yet how maternal adaptations in host defense shape susceptibility following childbirth remains unknown. Here, we show that the postpartum period represents a state of enhanced maternal antiviral immunity. Across postpartum stages, dams infected before weaning exhibited increased survival and reduced disease following lethal IAV challenge compared with nonpregnant females. Postpartum protection was associated with enhanced viral clearance and increased pulmonary antigen-specific CD8+ T cells and IL-17A-producing gamma-delta T cells. We identify the transition into lactation as a critical determinant of this protection. Protection extended to highly pathogenic avian influenza. Together, these findings reveal that maternal antiviral immunity remains actively shaped after childbirth, establishing the postpartum lactational period as a distinct state of maternal antiviral resilience.

immunology↗

bioRxiv2025

Epidermal tumour-resistant progenitors require SOX2-driven developmental reprogramming to drive tumorigenesis

The skin undergoes continuous renewal, relying on stem and progenitor cells to maintain its barrier function. Over time, multiple oncogenic and tumour suppressor events accumulate. How the skin tolerates these mutations in different populations and how cutaneous squamous cell carcinoma (cSCC) emerges from mutant clones is poorly understood. Rapid cSCC development can ensue in melanoma patients treated with BRAF inhibitors (BRAFi) through paradoxical activation of RAF signalling. To model this in mice, we induced MAPK hyperactivation in two epidermal basal populations: stem-cell-like (K14/K5+) and differentiation-committed (IVL+) cells. Remarkably rapid tumorigenesis ensued from the K14/K5+ basal population defining them as a tumour primed. In contrast, despite mutations being retained and populating the skin, IVL+ cells exhibited tumour resistance with long latency. Nevertheless, both populations can act as cSCC cells of origin. Once transformed, they share histological and transcriptomic hallmarks of epidermal transformation independently of the cell-of-origin or the oncogenic driving mutations. Critically, the pioneer factor SOX2 was uniquely upregulated in tumours arising from the resistant population and was both necessary and sufficient for their transformation. Notably, SOX2 bestow an embryonic profile to human keratinocytes and is expressed in [~]20% of human cSCC, suggesting that it could mark tumours originating from committed progenitors. HighlightsO_LIParadoxical MAPK signalling activation is a tumour promoter in cSCC C_LIO_LIK14/K5+ represent a tumour-primed population and IVL+ represents a tumour-resistant population, but both can initiate skin cancer C_LIO_LIOncogene-expressing tumour-resistant population takes over the entire skin epidermis but preserves homeostasis C_LIO_LISOX2 is sufficient to initiate cSCC from the tumour-resistant population by preventing delamination and differentiation and promoting stemness C_LI

cancer biology↗

bioRxiv2024

A targetable PREX2/RAC1/PI3Kβ signalling axis confers resistance to clinically relevant therapeutic approaches in melanoma

Metastatic melanoma remains a major clinical challenge. Large-scale genomic sequencing of melanoma has identified bona fide activating mutations in RAC1, with mutations of its upstream regulator, the RAC-GEF PREX2, also commonly detected. Crucially, RAC1 mutations are associated with resistance to BRAF-targeting therapies. Despite the role of its homologue PREX1 in melanomagenesis, and evidence that some truncating PREX2 mutations drive increased RAC1 activity, no hotspot mutations have been identified, and the impact of PREX2 mutation remains contentious. Here, we use genetically engineered mouse models and patient-derived BRAFV600E-driven melanoma cell lines to dissect the role of PREX2 in melanomagenesis and response to therapy. We show that while PREX2 is dispensable for the initiation and progression of melanoma, its loss confers sensitivity to clinically relevant therapeutics. Importantly, genetic and pharmacological targeting of the RAC1 effector kinase PI3K{beta} phenocopies PREX2 loss, sensitizing our model systems to therapy. Our data reveal a druggable PREX2/RAC1/PI3K{beta} signalling axis in BRAF-mutant melanoma that could be exploited clinically. Statement of SignificanceMetastatic melanoma remains both a clinical problem, and an opportunity for therapeutic benefit. Co-targeting of the MAPK pathway and the PREX2/RAC1/PI3K{beta} has remarkable efficacy and outperforms monotherapy MAPK targeting in vivo.

cancer biology↗

bioRxiv2023

eIF4A1 is essential for reprogramming the translational landscape of Wnt-driven colorectal cancers

Dysregulated translation is a hallmark of cancer. Targeting the translational machinery represents a therapeutic avenue which is being actively explored. eIF4A inhibitors target both eIF4A1, which promotes translation as part of the eIF4F complex, and eIF4A2, which can repress translation via the CCR4-NOT complex. While high eIF4A1 expression is associated with poor patient outcome, the role of eIF4A2 in cancer remains unclear. Furthermore, the on-target toxicity of targeting specific eIF4A paralogues in healthy tissue is under-explored. We show that while loss of either paralogue is tolerated in the wild-type intestine, eIF4A1 is specifically required to support the translational demands of oncogenic Wnt signalling. Intestinal tumourigenesis is suppressed in colorectal cancer models following loss of eIF4A1 but accelerated following loss of eIF4A2, while eIF4A inhibition with eFT226 mimics loss of eIF4A1 in these models.

cancer biology↗

bioRxiv2023

Suppression of progesterone by influenza A virus causes adverse maternal and fetal outcomes in mice

Influenza A virus infection during pregnancy can cause adverse maternal and fetal outcomes, but the mechanism responsible remains elusive. Infection of outbred mice with 2009 H1N1 at embryonic day (E) 10 resulted in significant maternal morbidity, placental tissue damage and inflammation, fetal growth restriction, and developmental delays that lasted through weaning. Restriction of pulmonary virus replication was not inhibited during pregnancy, but infected dams had suppressed circulating and placental progesterone (P4) concentrations that were caused by H1N1-induced upregulation of pulmonary cyclooxygenase (COX)-1, but not COX-2-, dependent synthesis and secretion of prostaglandin (PG) F2. Treatment with 17--hydroxyprogesterone caproate (17-OHPC), a synthetic progestin that is safe to use in pregnancy, ameliorated the adverse maternal and fetal outcomes from H1N1 infection and prevented placental cell death and inflammation. These findings highlight the therapeutic potential of progestin treatments for influenza during pregnancy. ImportancePregnant individuals are at risk of severe outcomes from both seasonal and pandemic influenza A viruses. Influenza infection during pregnancy is associated with adverse fetal outcomes at birth and adverse consequences for offspring into adulthood. We developed an outbred mouse model of 2009 H1N1 influenza virus infection during pregnancy, with semi-allogenic fetuses. When dams are infected with 2009 H1N1, in addition to pulmonary virus replication, tissue damage, and inflammation, the placenta shows evidence of transient damage and inflammation that is mediated by increased activity along the arachidonic acid pathway leading to suppression of circulating progesterone. Placental damage and suppressed progesterone are associated with long-term effects on perinatal growth and developmental delays in offspring. Treatment of H1N1-infected pregnant mice with 17-OHPC, a synthetic progestin treatment safe that is safe to use in pregnancy, prevents placental damage and inflammation and adverse fetal outcomes. This provided a novel therapeutic option for treatment of influenza during pregnancy that should be explored clinically.

microbiology↗

bioRxiv2023

KRAS allelic imbalance drives tumour initiation yet suppresses metastasis in colorectal cancer in vivo

Oncogenic KRAS mutations are well-described functionally and are known to drive tumorigenesis. Recent reports describe a significant prevalence of KRAS allelic imbalances or gene dosage changes in human cancers, including loss of the wild-type allele in KRAS mutant cancers. However, there is still much debate over the function of wild-type KRAS in tumour initiation, progression and therapeutic response. We have developed a genetically engineered mouse model which allows deletion of the wild-type copy of Kras in the context of an intact oncogenic Kras in colorectal cancer. We observe that in the presence of oncogenic Kras, wild-type Kras acts to restrain tumour growth. Mechanistically, deletion of wild-type Kras exacerbates oncogenic KRAS signalling through MAPK and thus drives tumour initiation. Absence of wild-type Kras potentiates the oncogenic effect of KRASG12D, while presence of wild-type Kras is associated with resistance to inhibition of MEK1/2 in KRASG12D driven tumours. Importantly, loss of wild-type Kras in oncogenic KRAS-driven aggressive tumours significantly alters tumour progression, metastasis while impacting tumour immune cell infiltration. This study demonstrates a suppressive role for wild-type Kras during colon tumour initiation and highlights the critical impact of wild-type Kras upon therapeutic response to MAPK and tumour progression in Kras mutant cancers. HighlightsO_LIWild-type KRAS suppresses mutant KRASG12D mediated proliferation and signalling in colorectal cancer models in vivo C_LIO_LIConcomitant loss of wild-type KRAS and activation of WNT signalling promotes mutant KRAS-driven tumour initiation. C_LIO_LIWild-type KRAS promotes resistance to MAPK inhibition in KRAS mutant tumours C_LIO_LILoss of wild-type KRAS inhibits metastasis of late-stage mutant KRAS colorectal cancer models. C_LI

cancer biology↗

bioRxiv2023

Kras loss of heterozygosity promotes MAPK dependent pancreatic ductal adenocarcinoma and induces therapeutic sensitivity

Pancreatic cancer is characterised by the prevalence of oncogenic mutations in KRAS. Previous studies have reported that altered Kras gene dosage drives progression and metastatic incidence in pancreatic cancer. While the role of oncogenic KRAS mutation is well characterised, the relevance of the partnering wild-type KRAS allele in pancreatic cancer is less well understood and controversial. Using in vivo mouse modelling of pancreatic cancer, we demonstrate that wild-type Kras restrains the oncogenic impact of mutant Kras, and drastically impacts both Kras-mediated tumourigenesis and therapeutic response. Mechanistically, deletion of wild-type Kras increases oncogenic Kras signalling through the downstream MAPK effector pathway, driving pancreatic intraepithelial neoplasia (PanIN) initiation. In addition, in the KPC mouse model, a more aggressive model of pancreatic cancer, loss of wild-type KRAS leads to accelerated initiation but delayed tumour progression. These tumours had altered stroma, downregulated Myc levels and an enrichment for immunogenic gene signatures. Importantly, loss of wild-type Kras sensitises Kras mutant tumours to MEK1/2 inhibition though tumours eventually become resistant and then rapidly progress. This study demonstrates the repressive role of wild-type Kras during pancreatic tumourigenesis and highlights the critical impact of the presence of wild-type KRAS on tumourigenesis and therapeutic response in pancreatic cancer.

cancer biology↗

bioRxiv2023

Characterising neutrophil subtypes in cancer using human and murine single-cell RNA sequencing datasets

Neutrophils are a highly heterogenous cellular population. However, a thorough examination of the different transcriptional neutrophil states, between health and malignancy, has not been performed. We utilised single-cell RNA-sequencing of human and murine datasets, both publicly available and independently generated, to identify neutrophil transcriptomic subtypes and their developmental lineages in health and malignancy. Datasets of lung, breast and colorectal cancer (CRC) were integrated to establish and validate the reproducibility of neutrophil gene-signatures. Pseudo-time analysis was used to identify genes driving neutrophil development from health to cancer. Finally, ligand-receptor interactions and signalling pathways between neutrophils and other immune cell populations in primary CRC and metastatic CRC were investigated. We define two main neutrophil subtypes in primary tumours: an activated subtype sharing the transcriptomic signatures of healthy neutrophils; and a tumour-specific subtype. This signature is conserved in murine and human cancer, across different tumour types. In CRC metastases, neutrophils are more heterogenous, exhibiting additional transcriptomic subtypes. Pseudo-time analysis implicates an IL1B/CXCL8/CXCR2 axis in the progression of neutrophils from health to cancer and metastasis, with effects on T-cell effector function. Assessment of global communication signalling identified CD4+ T-cells and macrophages as dominant regulators of the immunosuppressive, metastatic niche, whereas CD8+ T-cells are receivers of signals from other immune cells. We propose that the emergence of metastatic-specific neutrophil subtypes is driven by an IL1/CXCL8/CXCR2 axis, with the evolution of different transcriptomic signals that impair T-cell function at the metastatic site. Thus, a better understanding of the neutrophil transcriptomic programming could optimise immunotherapeutic interventions into early and late interventions, targeting different neutrophil subtypes.

bioinformatics↗

bioRxiv2023

Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target

With colorectal cancer (CRC) being the second most common cause of cancer-related deaths worldwide1, there is an urgent need for better diagnostic tools and new, more targeted therapies. Here we used genetically engineered mouse models (GEMMs), and multimodal mass spectrometry-based metabolomics to study the impact of common genetic drivers of CRC on the metabolic landscape of the intestine. We show that unsupervised metabolic profiling can stratify intestinal tissues according to underlying genetic alterations, and use mass spectrometry imaging (MSI) to identify tumour, stromal and normal adjacent tissues. By identifying ions that drive variation between normal and transformed tissues, we found dysregulation of the methionine cycle to be a hallmark of APC-mutant CRC, and propose one of its enzymes, i.e. adenosylhomocysteinase (AHCY), as a new therapeutic target. Collectively, we show that the profound genotype-dependent alterations in both lipid and small molecule metabolism in CRC may be exploited for tissue classification with no need for ion identification, and we applied further data analysis to expose a novel metabolic vulnerability of CRC.

cancer biology↗

bioRxiv2022

Molecular phenotyping of colorectal neoplasia shows dynamic and adaptive cancer stem cell population admixture

Intestinal homeostasis is underpinned by LGR5+ve crypt-base columnar stem cells (CBCs), but following injury, dedifferentiation results in the emergence of LGR5-ve regenerative stem cell populations (RSCs), characterised by fetal transcriptional profiles. Neoplasia hijacks regenerative signalling, so we assessed the distribution of CBCs and RSCs in mouse and human intestinal tumors. Using combined molecular-morphological analysis we demonstrate variable expression of stem cell markers across a range of lesions. The degree of CBC-RSC admixture was associated with both epithelial mutation and microenvironmental signalling disruption, and could be mapped across disease molecular subtypes. The CBC-RSC equilibrium was adaptive, with a dynamic response to acute selective pressure, and adaptability was associated with chemoresistance. We propose a fitness landscape model where individual tumors have equilibrated stem cell population distributions along a CBC-RSC phenotypic axis. Cellular plasticity is represented by position shift along this axis, and is influenced by cell-intrinsic, extrinsic and therapeutic selective pressures.

cancer biology↗

bioRxiv2020

Training a neural network to learn other dimensionality reduction removes data size restrictions in bioinformatics and provides a new route to exploring data representations

High dimensionality omics and hyperspectral imaging datasets present difficult challenges for feature extraction and data mining due to huge numbers of features that cannot be simultaneously examined. The sample numbers and variables of these methods are constantly growing as new technologies are developed, and computational analysis needs to evolve to keep up with growing demand. Current state of the art algorithms can handle some routine datasets but struggle when datasets grow above a certain size. We present a training deep learning via neural networks on non-linear dimensionality reduction, in particular t-distributed stochastic neighbour embedding (t-SNE), to overcome prior limitations of these methods. One Sentence SummaryAnalysis of prohibitively large datasets by combining deep learning via neural networks with non-linear dimensionality reduction.

bioinformatics↗