4.8 Article

Simultaneous mapping of 3D structure and nascent RNAs argues against nuclear compartments that preclude transcription

期刊

CELL REPORTS
卷 41, 期 9, 页码 -

出版社

CELL PRESS
DOI: 10.1016/j.celrep.2022.111730

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资金

  1. NIH 4DN [U01 DA040612, U01 HL130007]
  2. NIH Directors Transformative Research Award [R01 DA053178]
  3. Chan Zuckerberg Initiative
  4. HHMI Gilliam and Hanna H. Gray Fellowship
  5. NIH UCLA-Caltech Medical Scientist Training Program [T32GM008042]
  6. American Cancer Society Fellowship
  7. Caltech BBE fellowship
  8. NIH [T32 GM 7616-40]
  9. NIH NRSA [CA247447]
  10. Josephine De Karman Fellowship Trust
  11. UCLA-Caltech Medical Scientist Training Program

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Mammalian genomes are organized into A/B compartments, and transcription occurs within B compartments with multiple active genes colocalizing. Genes proximal to nucleoli can also undergo transcription. This study provides important insights into the relationship between genome structure and transcription.
Mammalian genomes are organized into three-dimensional DNA structures called A/B compartments that are associated with transcriptional activity/inactivity. However, whether these structures are simply correlated with gene expression or are permissive/impermissible to transcription has remained largely unknown because we lack methods to measure DNA organization and transcription simultaneously. Recently, we developed RNA & DNA (RD)-SPRITE, which enables genome-wide measurements of the spatial organization of RNA and DNA. Here we show that RD-SPRITE measures genomic structure surrounding nascent pre-mRNAs and maps their spatial contacts. We find that transcription occurs within B compartments-with multiple active genes simultaneously colocalizing within the same B compartment-and at genes proximal to nucleoli. These results suggest that localization near or within nuclear structures thought to be inactive does not preclude transcription and that active transcription can occur throughout the nucleus. In general, we anticipate RD-SPRITE will be a powerful tool for exploring relationships between genome structure and transcription.

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