Biology subjects

Artemov, P.

Publications and source records attributed to Artemov, P..

5 recordsLinked to original sources

bioRxiv2026

Fitness and immune-escape within germinal centers shape premalignant evolution toward lymphoma

Germinal centers (GCs) support physiological B-cell mutagenesis and are considered lymphoma-permissive; nevertheless, lymphoma development is uncommon. Human in situ follicular neoplasia (ISFN) captures this paradox: premalignant B-cells can persist within GCs for prolonged periods without progressing to overt lymphoma. We found that human ISFN, but not normal GCs, are infiltrated by CD8 T-cells, suggesting that premalignant GC B-cells are locally immune-surveilled. Using mouse models that separate early premalignant fitness from lymphoma-associated evolution, we show that fitness-enhanced premalignant GC B-cells expand transiently but are selectively eliminated by infiltrating cytotoxic CD8 T-cells, while normal GC B-cells are spared. By contrast, evolved premalignant GC B-cells retain their fitness but disable productive CD8 T-cell cytotoxic differentiation, allowing persistence and lymphoma-like transcriptional and genomic evolution. These findings establish GCs as active immune-surveillance sites and show that progression from premalignancy to lymphoma requires both enhanced GC fitness and escape from local immune control. Key findingsGCs undergo active immune-surveillance to detect premalignant B-cells. Premalignant GC B-cells trigger cytotoxic CD8 T-cell responses. Lymphoma-associated evolution enables immune-escape within GCs. Fitness and immune-escape drive evolution from premalignancy to lymphoma. BlurbGerminal centers are considered lymphoma-permissive; however, progression from premalignancy is uncommon. Using models of human in situ follicular neoplasia, Zhang et al. demonstrate that infiltrating CD8 T-cells actively eliminate premalignant GC B-cells. Co-occurrence of lymphoma-like alterations blocks this cytotoxic T-cell response, driving immune escape and lymphoma evolution.

cancer biology↗

bioRxiv2025

Global re-organisation of genome architecture at the transition to gametogenesis

Global epigenetic resetting in the gonadal primordial germ cells (PGCs) enables transition from early PGCs to gametogenesis and eventual restoring of totipotency after fertilisation. This reprogramming process involves global DNA demethylation, changes in nuclear morphology as well as remodeling of repressive histone modifications. Here, using combined cytological and Hi-C based methods, we reveal that following the epigenetic reprogramming and concomitant with their commitment to gametogenesis, pre-meiotic gonadal germ cells are characterised by a unique chromosome and genome architecture. This involves separation of individual chromosomes and anchoring of centromeres at the nuclear periphery, reduction of inter-chromosome interactions and disentangling of chromosome ends. Furthermore, genome-wide contact mapping documents striking remodeling of 3D genome architecture across all observable levels including disruption of topological associating domains (TADs), loss of detectable loops and reduced active-active compartment interactions. We further show that the diminished TADs correlate with the reduced levels of CTCF thus providing a unique in vivo physiological model to understand genome folding principles. Finally, we show that primordial germ cell like cells (PGCLCs), derived from embryonic stem cells, do not exhibit the same chromatin organisation as embryonic germ cells suggesting that the 3D genome remodeling accompanies acquisition of meiotic competency. Collectively, our findings uncover the existence of a unique chromatin architecture in premeiotic male and female gonadal germ cells and document that alongside global DNA demethylation, the germline epigenetic reprogramming involves erasure of memory at the genome architectural level through a complete re-organisation of the 3D genome.

cell biology↗

bioRxiv2023

Shared and distinct molecular effects of regulatory genomic variants provide insight into mechanisms of distal enhancer-promoter communication

Gene enhancers often form long-range contacts with promoters, but it remains unclear if enhancer activity and their chromosomal contacts are mediated by the same DNA sequences and recruited factors. We studied the effects of expression quantitative trait loci (eQTLs) on enhancer activity and promoter contacts in primary monocytes isolated from 34 individuals. Using eQTL-Capture Hi-C and a Bayesian approach considering both intra- and inter-individual variation, we initially detected 19 eQTLs associated with enhancer-eGene promoter contacts, most of which also associated with enhancer accessibility and activity. Capitalising on these shared effects, we devised a multi-modality Bayesian strategy, which identified 629 "trimodal QTLs" jointly associated with enhancer accessibility, eGene promoter contact, and gene expression. Causal mediation analysis and CRISPR interference revealed causal relationships between these three modalities. Many detected QTLs overlapped disease susceptibility loci and influenced the predicted binding of myeloid transcription factors, including SPI1, GABPB and STAT3. Additionally, a variant associated with PCK2 promoter contact directly disrupted a CTCF binding motif and impacted promoter insulation from downstream enhancers. Jointly, our findings suggest an inherent genetic link between the activity and connectivity of enhancers with relevance for human disease, and highlight the role of genetically-determined chromatin boundaries in gene control.

genetics↗

bioRxiv2022

High-resolution promoter interaction analysis in Type 3 Innate Lymphoid Cells implicates Batten Disease gene CLN3 in Crohn's Disease aetiology

Innate lymphoid cells (ILCs) are rare, tissue-resident innate lymphocytes that functionally mirror CD4+ T helper cell lineages but lack antigen receptors. Type 3 ILCs (ILC3s) are enriched in the gut, airways, and mucosal lymphoid tissues, where they regulate inflammation and promote barrier integrity. To define the regulatory architecture of primary human ILC3s, we map promoter-anchored chromosomal contacts using high-resolution, low-input Promoter Capture Hi-C (PCHi-C) in these cells alongside CD4+ T cells. By combining statistical detection with a PCHi-C-adapted Activity-by-Contact approach, we link promoters to distal regulatory elements, identifying hundreds of ILC3-specific contacts. We use these maps to connect genome-wide association study (GWAS) risk variants for Crohns disease to target genes using multiCOGS, a Bayesian framework that integrates PCHi-C with summary-statistic imputation and multivariate fine-mapping. This analysis highlights both known and unanticipated candidates, including CLN3, a causal gene for the neurodevelopmental Batten disease. Using a mouse ILC3-like cell line, we show that Cln3 is downregulated upon cytokine stimulation, and Cln3 overexpression alters stimulation-induced transcriptional programmes and cytokine secretion. Extending this approach, we generate a catalogue of ILC3-linked risk genes for five additional autoimmune conditions and show that they are enriched for regulators of the ILC3 inflammatory response identified in a CRISPR interference screen. Together, these findings illuminate long-range gene control in ILC3s and prioritise known and newly implicated autoimmune risk genes with potential roles in this clinically important cell type.

genetics↗

bioRxiv2019

Obstacles to Studying Alternative Splicing Using scRNA-seq

BackgroundEarly single-cell RNA-seq (scRNA-seq) studies suggested that it was unusual to see more than one isoform being produced from a gene in a single cell, even when multiple isoforms were detected in matched bulk RNA-seq samples. However, these studies generally did not consider the impact of dropouts or isoform quantification errors, potentially confounding the results of these analyses.\n\nResultsIn this study, we take a simulation based approach in which we explicitly account for dropouts and isoform quantification errors. We use our simulations to ask to what extent it is possible to study alternative splicing using scRNA-seq. Additionally, we ask what limitations must be overcome to make splicing analysis feasible. We find that the high rate of dropouts associated with scRNA-seq is a major obstacle to studying alternative splicing. In mice and other well established model organisms, the relatively low rate of isoform quantification errors poses a lesser obstacle to splicing analysis. We find that different models of isoform choice meaningfully change our simulation results.\n\nConclusionsTo accurately study alternative splicing with single-cell RNA-seq, a better understanding of isoform choice and the errors associated with scRNA-seq is required. An increase in the capture efficiency of scRNA-seq would also be beneficial. Until some or all of the above are achieved, we do not recommend attempting to resolve isoforms in individual cells using scRNA-seq.

bioinformatics↗