Biology subjects

Stelloo, S.

Publications and source records attributed to Stelloo, S..

6 recordsLinked to original sources

bioRxiv2026

Proteomics of human cancer-associated T cells identifies regulators of T cell functionality

CD8+ T cells in solid cancers progressively lose anti-tumor activity, yet the cell-intrinsic mechanisms driving this loss of function remain incompletely defined. Here, we performed matched proteomic and transcriptomic profiling of dysfunctional and bystander CD8+ tumor-infiltrating T cells isolated from primary tumors of treatment-naive non-small cell lung cancer patients. Proteomic analysis revealed widespread discordance with mRNA expression, with 8% of all quantified proteins displaying differential expression exclusively at the protein level. Genetic perturbation of such differentially expressed proteins identified the chromatin remodeler CHD4 and fatty acid synthase (FASN) as cell-intrinsic regulators of T cell function. CHD4 deletion resulted in altered gene-regulatory networks that promoted effector differentiation and enhanced cytokine production. In contrast, FASN deletion preserved mitochondrial fitness and sustained T cell functionality under chronic T cell receptor stimulation. Together, these findings demonstrate that proteomic profiling uncovers regulators of T cell functionality that are not apparent from transcriptomic analyses alone, highlighting an additional layer of regulatory control.

immunology↗

bioRxiv2025

Spatiotemporal proteomics reveals dynamic antagonistic gradients shaping signalling waves

Embryonic development is driven by dynamic protein networks, yet how these dynamics shape morphogenesis remains incompletely understood. Somitogenesis, the rhythmic segmentation of vertebrate embryos, is governed by signalling gradients and oscillations in the presomitic mesoderm (PSM)1,2, but the corresponding protein dynamics are largely unknown. Perturbations in this process cause congenital spine disorders and can result in embryonic lethality3. Here, we introduce an integrated proteomics and microfluidics approach to resolve spatiotemporal protein expression in the developing mouse tail. To this end, we established a microfluidic system to synchronize oscillations in embryo tails grown in 3D, which we combined with mass-spectrometry and RNA sequencing. We uncover novel oscillatory proteins and differentially expressed genes along the anteroposterior axis. Building on this dataset, we identify a previously unrecognized antagonistic, dynamic ligand-receptor expression pattern in R-Spondin/LGR signalling explaining how Wnt-oscillation amplitude increases despite decreasing ligand levels in anterior PSM. Dynamic ligand expression was validated in mouse gastruloids. Perturbation of ligand dynamics reduced oscillation amplitude and impaired somite formation. Our study reveals a novel regulatory strategy in which dynamic antagonistic gradients fine-tune signalling strength, providing new mechanistic insight into how protein dynamics control tissue patterning. We anticipate our dataset to serve as foundation for mechanistic investigations of mammalian somitogenesis including the role of mechanics and metabolism. More broadly, our approach combining microfluidics-based synchronization of signalling in multicellular systems with omics analyses can be applied to study dynamics in other contexts such as in tissue homeostasis4 and regeneration5.

developmental biology↗

bioRxiv2023

Integrative omics analysis reveals gene regulatory mechanisms distinguishing organoid-derived hepatocytes from primary human hepatocytes

Background and AimsHepatic organoid cultures are considered a powerful model system to study liver development and diseases in vitro. However, hepatocyte-like cells differentiated from such organoids remain immature compared to primary human hepatocytes. Therefore, a comprehensive understanding of differences in gene regulatory mechanisms between primary human hepatocytes and hepatic organoids is essential to obtain functional hepatocyte-like cells in vitro for fundamental and therapeutic applications. MethodsWe obtained primary human hepatocytes at high purity from all zones of the liver lobule using an optimized two-step perfusion protocol. We captured the single-cell transcriptome and chromatin accessibility landscape using scRNA-seq and ATAC-seq, respectively. We identified key transcription factors and compared the gene regulatory mechanisms in primary human hepatocytes and (un)differentiated intrahepatic cholangiocyte organoids. Using siRNA-mediated perturbations, we showed the functional relevance of an organoid-enriched transcription factor during in vitro differentiation of hepatocyte-like cells. ResultsOur integrative omics analysis revealed that Activator Protein 1 (AP-1) family members cooperate with hepatocyte-specific transcription factors, including HNF4A, in maintaining cellular functionality of mature human hepatocytes. Comparative analysis identified distinct transcription factor sets specifically active in human hepatocytes and organoids. Amongst these ELF3 is unique to intrahepatic cholangiocyte organoids and its expression level negatively correlate with expression of hepatic marker genes. Functional analysis of ELF3 furthermore revealed that ELF3 depletion optimizes the formation of hepatocyte-like cells from intrahepatic cholangiocyte organoids. ConclusionsCollectively, our integrative analysis provides insights into the transcriptional regulatory networks of human hepatocytes and hepatic organoids, thereby informing future strategies for better establishment of urgently-needed hepatic model systems in vitro.

molecular biology↗

bioRxiv2023

Breast cancer risk SNPs converge on estrogen receptor binding sites commonly shared between breast tumors to locally alter estrogen signalling output

Estrogen Receptor alpha (ER) is the main driver and prime drug target in luminal breast. ER chromatin binding is extensively studied in cell lines and a limited number of human tumors, using consensi of peaks shared among samples. However, little is known about inter-tumor heterogeneity of ER chromatin action, along with its biological implications. Here, we use a large set of ER ChIP-seq data from 70 ER+ breast cancers to explore inter-patient heterogeneity in ER DNA binding, to reveal a striking inter-tumor heterogeneity of ER action. Interestingly, commonly-shared ER sites showed the highest estrogen-driven enhancer activity and were most-engaged in long-range chromatin interactions. In addition, the most-commonly shared ER-occupied enhancers were enriched for breast cancer risk SNP loci. We experimentally confirm SNVs to impact chromatin binding potential for ER and its pioneer factor FOXA1. Finally, in the TCGA breast cancer cohort, we could confirm these variations to associate with differences in expression for the target gene. Cumulatively, we reveal a natural hierarchy of ER-chromatin interactions in breast cancers within a highly heterogeneous inter-tumor ER landscape, with the most-common shared regions being most active and affected by germline functional risk SNPs for breast cancer development.

genomics↗

bioRxiv2023

Enhancer plasticity in endometrial tumorigenesis demarcates non-coding driver mutations and alterations in 3D genome organization to stimulate oncogene expression

The incidence and mortality of Endometrial Cancer (EC) is on the rise. 85% of ECs depend on Estrogen Receptor alpha (ER) for proliferation, but little is known about its transcriptional regulation in these tumors. We generated epigenomics, transcriptomics and Hi-C datastreams in healthy and tumor endometrial tissues, identifying robust ER reprogramming and profound alterations in 3D genome organization that lead to a gain of tumor-specific enhancer activity during EC development. Integration with endometrial cancer risk single-nucleotide polymorphisms, as well as WGS data from primary tumors and metastatic samples revealed a striking enrichment of risk variants and non-coding somatic mutations at tumor-enriched ER sites. Through machine learning-based predictions and interaction proteomics analyses, we identified an enhancer mutation which alters 3D genome conformation, impairing recruitment of the transcriptional repressor EHMT2/G9a/KMT1C, thereby alleviating transcriptional repression of ESR1 in EC. In summary, we identified a complex genomic-epigenomic interplay in EC development and progression, altering 3D genome organization to enhance expression of the critical driver ER.

cancer biology↗

bioRxiv2020

Functional mapping of androgen receptor enhancer activity

Androgen receptor (AR) is critical to the initiation, growth and progression of almost all prostate cancers. Once activated, the AR binds to cis-regulatory enhancer elements on DNA that drive gene expression. Yet, there are 10-100x more binding sites than differentially expressed genes. It still remains unclear how individual sites contribute to AR-mediated transcription. While descriptive functional genomic approaches broadly correlate with enhancer activity, they do not provide the locus-specific resolution needed to delineate the underlying regulatory logic of AR-mediated transcription. Therefore, we functionally tested all commonly occuring clinical AR binding sites with Self-Transcribing Active Regulatory Regions sequencing (STARRseq) to generate the first map of intrinsic AR enhancer activity. This approach is not significantly affected by endogenous chromatin modifications and measures the potential enhancer activity at each cis-regulatory element. Interestingly we found that only 7% of AR binding sites displayed increased enhancer activity upon hormonal stimulation. Instead, the vast majority of AR binding sites were either inactive (81%) or constitutively active enhancers (11%). These annotations strongly correlated with enhancer-associated features in both cell line and clinical prostate cancer. With these validated annotations we next investigated the effect of each enhancer class on transcription and found that AR-driven inducible enhancers frequently interacted with promoters, forming central chromosomal loops critical for gene transcription. We demonstrated that these inducible enhancers act as regulatory hubs that increase contacts with both other AR binding sites and gene promoters. This functional map was used to identify a somatic mutation that significantly reduces the expression of a commonly mutated AR-regulated tumour suppressor. Together, our data reveal a complex interplay between different AR binding sites that work in a highly coordinated manner to drive gene transcription.

cancer biology↗