Evidence map›Paper›PMID 38766104›Full record

ArticlebioRxiv : the preprint server for biology2024

Super-enhancer interactomes from single cells link clustering and transcription.

Derek J Le, Antonina Hafner, Sadhana Gaddam, Kevin C Wang, Alistair N Boettiger

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Derek J LeDepartment of Developmental Biology, Stanford University, Stanford, CA, United States.
Antonina HafnerDepartment of Developmental Biology, Stanford University, Stanford, CA, United States.
Sadhana GaddamDepartment of Dermatology, Stanford University, Stanford, CA, United States.
Kevin C WangDepartment of Dermatology, Stanford University, Stanford, CA, United States.
Alistair N BoettigerDepartment of Developmental Biology, Stanford University, Stanford, CA, United States.ORCID 0000-0002-3554-5196

Funding

Leveraging innovative technologies in basic and clinical cancer researchT32CA009302 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI, Aaron M Newman · 1985 to 2026
$19.1M
Live-cell multiplex super-resolution imaging of chromatin state transitionsU01DK127419 · NIDDK · STANFORD UNIVERSITY · PI BINTU, LACRAMIOARA, BOETTIGER, ALISTAIR N. · 2020 to 2024
$5.3M
NCI NIH HHS T32 CA009302NIDDK NIH HHS U01 DK127419
6 · The paper itself

Abstract

Regulation of gene expression hinges on the interplay between enhancers and promoters, traditionally explored through pairwise analyses. Recent advancements in mapping genome folding, like GAM, SPRITE, and multi-contact Hi-C, have uncovered multi-way interactions among super-enhancers (SEs), spanning megabases, yet have not measured their frequency in single cells or the relationship between clustering and transcription. To close this gap, here we used multiplexed imaging to map the 3D positions of 376 SEs across thousands of mammalian nuclei. Notably, our single-cell images reveal that while SE-SE contacts are rare, SEs often form looser associations we termed "communities". These communities, averaging 4-5 SEs, assemble cooperatively under the combined effects of genomic tethers, Pol2 clustering, and nuclear compartmentalization. Larger communities are associated with more frequent and larger transcriptional bursts. Our work provides insights about the SE interactome in single cells that challenge existing hypotheses on SE clustering in the context of transcriptional regulation.

Indexed as

3D genome organizationclusteringenhancersmultiplexed imagingsingle-cell gene expressionSuper-enhancers

Identifiers

PMID38766104
PMCPMC11100725

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.