Publications by authors named "Biola Maria Javierre"

Neutrophils play fundamental roles in innate immune response, shape adaptive immunity, and are a potentially causal cell type underpinning genetic associations with immune system traits and diseases. Here, we profile the binding of myeloid master regulator PU.1 in primary neutrophils across nearly a hundred volunteers.

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Article Synopsis
  • The three-dimensional structure of the genome plays a key role in how genes function, as regulatory elements like enhancers can significantly influence gene expression across large genomic distances.
  • The Promoter Capture Hi-C (PCHi-C) technique allows researchers to identify and analyze distal promoter-interacting regions (PIRs) by enriching promoter sequences and finding their interactions with enhancers and other regulatory elements.
  • Using PCHi-C, scientists have created detailed interaction maps for numerous human and mouse cell types, enhancing our understanding of gene regulation and its implications for human genetic diseases by linking non-coding variants to specific target genes.
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Transcriptional enhancers, including super-enhancers (SEs), form physical interactions with promoters to regulate cell-type-specific gene expression. SEs are characterized by high transcription factor occupancy and large domains of active chromatin, and they are commonly assigned to target promoters using computational predictions. How promoter-SE interactions change upon cell state transitions, and whether transcription factors maintain SE interactions, have not been reported.

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  • Autoimmune diseases are linked to genetic variants found primarily in regulatory regions of immune cells, especially CD4 T cells, which helps in identifying potential disease-related genes.
  • Researchers observed that activating CD4 T cells leads to changes in histone modifications and RNA transcription that correspond with altered expression of certain interacting genes.
  • By analyzing genetic data from five autoimmune diseases, they identified 245 candidate genes, including IL2RA, showcasing a new method for pinpointing causal genes that could be important for understanding these diseases' mechanisms.
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  • Transcriptional regulation involves complex interactions between promoters and distant regulatory elements, and this study examines how these interactions change quickly in response to differentiation signals.* -
  • Using promoter capture Hi-C, the research shows that within 4 hours of differentiating preadipocytes, new chromatin loops form between promoters and enhancers, linked to the activation of specific enhancer marks.* -
  • The study reveals that while activated enhancers form loops with promoters, there’s also a significant recruitment of corepressors, suggesting they have a previously overlooked role in enhancer activation.*
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Background: Network analysis is a powerful way of modeling chromatin interactions. Assortativity is a network property used in social sciences to identify factors affecting how people establish social ties. We propose a new approach, using chromatin assortativity, to integrate the epigenomic landscape of a specific cell type with its chromatin interaction network and thus investigate which proteins or chromatin marks mediate genomic contacts.

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Capture Hi-C (CHi-C) is a method for profiling chromosomal interactions involving targeted regions of interest, such as gene promoters, globally and at high resolution. Signal detection in CHi-C data involves a number of statistical challenges that are not observed when using other Hi-C-like techniques. We present a background model and algorithms for normalisation and multiple testing that are specifically adapted to CHi-C experiments.

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The Polycomb repressive complexes PRC1 and PRC2 maintain embryonic stem cell (ESC) pluripotency by silencing lineage-specifying developmental regulator genes. Emerging evidence suggests that Polycomb complexes act through controlling spatial genome organization. We show that PRC1 functions as a master regulator of mouse ESC genome architecture by organizing genes in three-dimensional interaction networks.

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Background: Chromosome conformation capture and various derivative methods such as 4C, 5C and Hi-C have emerged as standard tools to analyze the three-dimensional organization of the genome in the nucleus. These methods employ ligation of diluted cross-linked chromatin complexes, intended to favor proximity-dependent, intra-complex ligation. During development of single-cell Hi-C, we devised an alternative Hi-C protocol with ligation in preserved nuclei rather than in solution.

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The mammalian genome harbors up to one million regulatory elements often located at great distances from their target genes. Long-range elements control genes through physical contact with promoters and can be recognized by the presence of specific histone modifications and transcription factor binding. Linking regulatory elements to specific promoters genome-wide is currently impeded by the limited resolution of high-throughput chromatin interaction assays.

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