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To investigate the three-dimensional (3D) genome architecture across normal B cell differentiation and in neoplastic cells from different subtypes of chronic lymphocytic leukemia and mantle cell lymphoma patients, here we integrate in situ Hi-C and nine additional omics layers. Beyond conventional active (A) and inactive (B) compartments, we uncover a highly-dynamic intermediate compartment enriched in poised and polycomb-repressed chromatin. During B cell development, 28% of the compartments change, mostly involving a widespread chromatin activation from naive to germinal center B cells and a reversal to the naive state upon further maturation into memory B cells. B cell neoplasms are characterized by both entity and subtype-specific alterations in 3D genome organization, including large chromatin blocks spanning key disease-specific genes. This study indicates that 3D genome interactions are extensively modulated during normal B cell differentiation and that the genome of B cell neoplasias acquires a tumor-specific 3D genome architecture.
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http://dx.doi.org/10.1038/s41467-020-20849-y | DOI Listing |
G3 (Bethesda)
September 2025
INRAE, UR629 URFM, Ecologie des Forêts Méditerranéennes, Site Agroparc, Domaine Saint Paul, F-84914 Avignon Cedex 9, France.
Symphonia globulifera (Clusiaceae) has emerged as a model organism in tropical forest ecology and evolution due to its significant ecological role and complex biogeographical history. Originating from Africa, this species has independently colonized Caribbean, Central and South America three times, becoming a key component of tropical ecosystems across these regions. Despite the ecological importance of S.
View Article and Find Full Text PDFGenome Biol
September 2025
Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, 100101, Beijing, China.
Background: Centromeres are crucial for precise chromosome segregation and maintaining genome stability during cell division. However, their evolutionary dynamics, particularly in polyploid organisms with complex genomic architectures, remain largely enigmatic. Allopolyploid wheat, with its well-defined hierarchical ploidy series and recent polyploidization history, serves as an excellent model to explore centromere evolution.
View Article and Find Full Text PDFNPJ Precis Oncol
September 2025
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Breast cancer is a highly heterogeneous disease with diverse outcomes, and intra-tumoral heterogeneity plays a significant role in both diagnosis and treatment. Despite its importance, the spatial distribution of intra-tumoral heterogeneity is not fully elucidated. Spatial transcriptomics has emerged as a promising tool to study the molecular mechanisms behind many diseases.
View Article and Find Full Text PDFGene
September 2025
Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China. Electronic address:
Background: Nasopharyngeal carcinoma (NPC) pathogenesis is multi-factorial, involving synergistic interactions among genetic susceptibility, Epstein-Barr virus (EBV) infection, and environmental exposures. Notably, specific multi-generational families exhibit NPC incidence substantially exceeding both sporadic cases and general genetic susceptibility cohorts, demonstrating Mendelian inheritance patterns. This supports the hypothesis that high penetrance pathogenic variants dominate disease initiation and progression in familial NPC.
View Article and Find Full Text PDFCell Syst
September 2025
Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Electronic address:
Spatial transcriptomics allows for the measurement of gene expression within the native tissue context. However, despite technological advancements, computational methods to link cell states with their microenvironment and compare these relationships across samples and conditions remain limited. To address this, we introduce Tissue Motif-Based Spatial Inference across Conditions (TissueMosaic), a self-supervised convolutional neural network designed to discover and represent tissue architectural motifs from multi-sample spatial transcriptomic datasets.
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