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Beatrice Borsari

@beaborsari.bsky.social
18 followers 18 following 0 posts

Assistant Professor of Genetics @ Universitat de Barcelona Serra-Hunter Fellow

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Reposted by Beatrice Borsari
gersteinlab.bsky.social @gersteinlab.bsky.social · 06/05/2026
Curious how pseudogenes are transcriptionally regulated? Our new Genome Research paper shows processed pseudogenes break the rules: they’re transcribed without classic epigenetic marks, linked to enhancers, and enriched for YY1 motifs. Study co-led by Yunzhe Jiang and @beaborsari.bsky.social
doi.org
Epigenetic characterization of pseudogenes across human tissues
Pseudogenes have historically been regarded as nonfunctional remnants of genome evolution. However, relative to other noncoding genomic elements, their promoter architecture and epigenetic regulation remain incompletely understood. Here, we systematically characterize pseudogene promoters and compare them with those of protein-coding genes and long noncoding RNAs. To do this, we integrate matched transcriptomic and epigenomic data across 26 human tissues from the EN-TEx (ENCODE-GTEx) project. We uniformly annotate promoters with chromatin features (histone modifications, chromatin accessibility, and DNA methylation), sequence motifs, and evolutionary conservation, generating an online catalog. Leveraging this catalog, we show that, across multiple tissues, transcribed, unprocessed pseudogenes exhibit chromatin patterns similar to those of active protein-coding genes. In contrast, transcribed, processed pseudogenes show a different pattern: most lack the canonical hallmarks of transcription (e.g., active histone marks) at their promoters. Instead, their promoters show increased overlap with LINE elements, enrichment for YY1-like binding motifs, and higher Hi-C contact frequency, particularly with distal enhancer-like regulatory regions. Together with their greater conservation (relative to unprocessed pseudogenes), these features suggest that the transcription of processed pseudogenes may require regulatory mechanisms distinct from canonical promoter-associated epigenetic activation.
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Reposted by Beatrice Borsari
gersteinlab.bsky.social @gersteinlab.bsky.social · 25/08/2025
New @natcomms.nature.com ‬ paper led by @beaborsari.bsky.social ‬ & Mor Frank. Also thanks to co-authors Eve Wattenberg, @xuke0828.bsky.social , Susanna Liu, Xuezhu Yu & @markgerstein.bsky.social
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Reposted by Beatrice Borsari
gersteinlab.bsky.social @gersteinlab.bsky.social · 25/08/2025
Curious how your favorite gene changes when and how during a biological process? Want to dive into the kinetics of chromatin + gene expression? Meet chronODE, our new tool to model multi-omic time-series with logistic equations + ML! doi.org/10.1038/s414...
doi.org
The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning - Nature Communications
Here, the authors use a simple equation to study how genes and their regulators switch on/off over time, across the whole genome in tissues and cells. Most changes are gradual, but some genes switch q...
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