Add BrightSurf on Google Email

Different transcription systems shape chromatin behavior in distinct nuclear regions

Researchers used machine learning-assisted live-cell imaging to investigate the impact of transcription on chromatin motion in living human cells. The study found that transcription by RNA polymerases I and II shapes the physical behavior of different chromatin classes, with varying effects on euchromatin and heterochromatin.

SourceResearch Organization of Information and Systems·JournalCell Reports·TypeImaging analysis·DateOct 30, 2026

Local DNA motion inside the cell stays nearly constant throughout interphase

Research reveals that local DNA motion in human cells remains nearly constant throughout interphase, despite major physical changes, such as DNA replication and nuclear growth. This stability is notable and suggests that cells maintain similar physical conditions for housekeeping genome functions.

SourceResearch Organization of Information and Systems·JournalJournal of Cell Science·TypeImaging analysis·DateOct 14, 2026

New insights on the transcriptional regulation of seed germination

Researchers at CRAG have made groundbreaking discoveries on seed germination, identifying key regulatory features and non-coding RNAs that drive the process. The study reveals that transcription restarts much earlier than previously thought, opening up new avenues for investigation into the role of the non-coding genome.

SourceCenter for Research in Agricultural Genomics (CRAG)·JournalNature Communications·TypeData/statistical analysis·DateMar 20, 2024

A new model predicts the flexibility of DNA movement at the molecular scale

A new model of DNA flexibility has been developed, providing results of unprecedented quality and characterizing precision and efficiency at the computational level. The study presents a systematic and comprehensive analysis of DNA movement correlations and introduces a new method to capture them.

SourceInstitute for Research in Biomedicine (IRB Barcelona)·JournalNucleic Acids Research·TypeComputational simulation/modeling·DateMar 31, 2023