Evidence map›Paper›PMID 40073862›Full record

ArticleMolecular cell2025

Profiling transcriptome composition and dynamics within nuclear compartments using SLAM-RT&Tag.

Nadiya Khyzha, Kami Ahmad, Steven Henikoff

Abstract read
In one paragraph

Article in Molecular cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Role of RNA in genome folding: It's all about affinity.Current opinion in structural biology · 2025
    Review
  9. Article
  10. Review
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nadiya KhyzhaBasic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Kami AhmadBasic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. Electronic address: kahmad@fredhutch.org.
Steven HenikoffBasic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. Electronic address: steveh@fredhutch.org.

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Nuclear compartments are membrane-less regions enriched in functionally related molecules. RNA is a major component of many nuclear compartments, but the identity and dynamics of transcripts within nuclear compartments are poorly understood. Here, we applied reverse transcribe and tagment (RT&Tag) to human cell lines to identify the transcript populations of Polycomb domains and nuclear speckles. We also developed SLAM-RT&Tag, which combines RNA metabolic labeling with RT&Tag, to quantify transcript dynamics within nuclear compartments. We observed unique transcript populations with differing structures and dynamics within each compartment. Intriguingly, exceptionally long genes are transcribed adjacent to Polycomb domains and are transiently associated with chromatin. By contrast, nuclear speckles act as quality control checkpoints that transiently confine incompletely spliced polyadenylated transcripts and facilitate their post-transcriptional splicing. In summary, we demonstrate that transcripts at Polycomb domains and nuclear speckles undergo distinct RNA processing mechanisms, highlighting the pivotal role of compartmentalization in RNA maturation.

Indexed as

Cell NucleusGene Expression ProfilingTranscriptomeChromatinHumansPolycomb-Group ProteinsRNA, MessengerRNA Processing, Post-TranscriptionalRNA SplicingChromatinPolycomb-Group ProteinsRNA, MessengercompartmentsH3K27me3nuclear bodiesnuclear organizationnuclear specklesPolycomb domainspost-transcriptional splicingRNA dynamicsRNA localizationRNA metabolic labelingRNA sequencingRT&Tag

Identifiers

PMID40073862
PMCPMC12052203

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.