Biology subjects

Cheshire, C.

Publications and source records attributed to Cheshire, C..

4 recordsLinked to original sources

bioRxiv2025

Pathogenic Keratinocyte States and Fibroblast Niches Define the Tissue Microenvironment in Severe Hidradenitis Suppurativa

Hidradenitis suppurativa (HS) is a chronic inflammatory skin disease characterized by recurrent painful abscesses and tunnels in flexural sites. The mechanisms driving HS pathogenesis, particularly the roles of keratinocytes and fibroblasts in the HS inflammatory microenvironment, remain poorly understood. To characterise the cellular and molecular landscape of HS, we analyzed lesional skin from severe HS patients using single-cell RNA-sequencing and spatial transcriptomics to identify keratinocyte states and patterns of cellular interactions, with a focus on fibroblast-keratinocyte crosstalk. We identified a migratory S100+ pathogenic keratinocyte state enriched in HS lesions and observed spatially distinct fibroblast populations associated with different tissue compartments. COL6A5+ fibroblasts were preferentially co-localised with undifferentiated keratinocyte states, whereas APOD+ fibroblasts with enriched in immune cell-rich regions containing activated B and plasma cells consistent with tertiary lymphoid organ (TLO)-like structures. Ligand-receptor inference and spatial co-localisation analyses predicted extensive fibroblast-keratinocyte and fibroblast-immune interactions within HS lesions. Together, these data define the cellular organisation of the HS tissue microenvironment and identify spatially distinct stromal and epithelial niches associated with severe disease. These findings provide a framework for understanding how epithelial, stromal and immune cell populations coexist within HS lesions and may help to explain the limited efficacy of therapies targeting individual inflammatory pathways in the treatment of HS.

cell biology↗

bioRxiv2025

SLFN11 restricts escape from telomere crisis to prevent alternative lengthening of telomeres

The tRNA nuclease SLFN11 is epigenetically silenced in [~]50% of treatment-naive tumours and is the strongest predictor of chemoresistance but why it is frequently inactivated in cancer is unknown. To acquire immortality, cancer cells can activate alternative lengthening of telomeres (ALT), typically accompanied by ATRX loss. Here, we implicate SLFN11 in sensing telomere replication stress, triggering eradication of ATRX deficient cells prior to ALT establishment. Whereas progressive telomere shortening of cells lacking telomerase and ATRX leads to telomere crisis and cell death, SLFN11 loss confers tolerance to PML-BLM dependent ALT intermediates, permitting emergence of ALT survivors. We propose that during tumorigenesis SLFN11 inactivation is selected as means to tolerate endogenous replication stress following telomere crisis, leading to the development of therapy resistant tumours before treatment.

molecular biology↗

bioRxiv2023

Flow: a web platform and open database to analyse, store, curate and share bioinformatics data at scale

Ever-increasing volumes of sequencing data offer potential for large-scale meta-analyses to address significant biological questions. However, challenges such as insufficient data processing information, data quality concerns, and issues related to accessibility and curation often present obstacles. Additionally, most experimental biologists lack the time and expertise needed to independently analyse, manage and share their own data. To overcome these hurdles, we present Flow, a web-based platform that links bioinformatic analysis and database solutions with a user-friendly interface and web API. Flow currently accommodates a range of genomics methods and further DSL2-compliant Nextflow pipelines can be added via a simple JSON schema file. Deployable on local systems or cloud services, an instance is freely accessible to academic researchers at https://flow.bio.

bioinformatics↗

bioRxiv2022

A gradient border model for cell fate decisions at the neural plate border

The vertebrate neural plate border is a transient territory located at the edge of the neural plate containing precursors for all ectodermal derivatives: the neural plate; neural crest; placodes; and epidermis. Elegant functional experiments in a range of vertebrate models have provided an in-depth understanding of gene regulatory interactions within the ectoderm. However, these experiments conducted at tissue level raise seemingly contradictory models for fate allocation of individual cells. Here, we carry out single cell RNA sequencing of chick ectoderm from primitive streak to neurulation stage, to explore cell state diversity and heterogeneity. We characterise the dynamics of gene modules containing key factors known to regulate ectodermal cell fates, allowing us to model the order in which these fates are specified. Furthermore, we find that genes previously classified as neural plate border specifiers typically exhibit dynamic expression patterns and are biased towards either placodal or neural crest fates, revealing that the neural plate border should be seen as an anatomical region of the ectoderm and not a discrete transcriptional state. Through co-expression of placodal and neural crest markers, we identify a population of border located unstable progenitors (BLUPs) which gradually reduces in size as fate segregation occurs. Considering our findings, we propose a gradient border model for cell fate choice at the neural plate border, with the probability of cell fate allocation closely tied to the spatiotemporal positioning of cells.

developmental biology↗