Evidence map›Paper›PMID 36977375›Full record

ReviewDevelopmental cell2023

Dynamics of nuclear architecture during early embryonic development and lessons from liveimaging.

Federico Pecori, Maria-Elena Torres-Padilla

Abstract readReview
In one paragraph

Review in Developmental cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Nucleoskeletal Proteins in Early Embryogenesis.Advances in experimental medicine and biology · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

2 authors.

Federico PecoriInstitute of Epigenetics and Stem Cells, Helmholtz Zentrum München, Munich, Germany.
Maria-Elena Torres-PadillaInstitute of Epigenetics and Stem Cells, Helmholtz Zentrum München, Munich, Germany; Faculty of Biology, Ludwig Maximilians University, Munich, Germany. Electronic address: torres-padilla@helmholtz-muenchen.de.

Funding

Establishment and visualization of nuclear architecture at the onset of mammalian developmentU01DK127391 · NIDDK · HELMHOLTZ ZENTRUM MUENCHEN - GMBH · PI TORRES PADILLA, MARIA ELENA · 2020 to 2023
$1.5M
NIDDK NIH HHS U01 DK127391
6 · The paper itself

Abstract

Nuclear organization has emerged as a potential key regulator of genome function. During development, the deployment of transcriptional programs must be tightly coordinated with cell division and is often accompanied by major changes in the repertoire of expressed genes. These transcriptional and developmental events are paralleled by changes in the chromatin landscape. Numerous studies have revealed the dynamics of nuclear organization underlying them. In addition, advances in live-imaging-based methodologies enable the study of nuclear organization with high spatial and temporal resolution. In this Review, we summarize the current knowledge of the changes in nuclear architecture in the early embryogenesis of various model systems. Furthermore, to highlight the importance of integrating fixed-cell and live approaches, we discuss how different live-imaging techniques can be applied to examine nuclear processes and their contribution to our understanding of transcription and chromatin dynamics in early development. Finally, we provide future avenues for outstanding questions in this field.

Indexed as

Cell NucleusChromatinEmbryonic DevelopmentGenomeChromatinchromatinembryoepigeneticsimagingnuclear organization

Identifiers

PMID36977375
PMCPMC10062924

What OpenQuestion holds

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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.