Evidence map›Paper›PMID 40615573›Full record

ArticleNature structural & molecular biology2025

Single-cell long-read Hi-C, scNanoHi-C2, details 3D genome reorganization in embryonic-stage germ cells.

Jiansen Lu, Wen Li, Fuchou Tang

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Article in Nature structural & molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Enhancer Dynamics for Gene Regulation in the Cardiovascular System.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  3. Review
  4. Epigenetic remodeling during early embryonic development.Frontiers in cell and developmental biology · 2026
    Review
  5. RNA helicase unravels the secrets of germ granules.Nature structural & molecular biology · 2025
    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

3 authors.

Jiansen Lu *Biomedical Pioneering Innovative Center, School of Life Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-8320-1435
Wen Li *School of Laboratory Medicine and Biotechnology, The Seventh Affiliated Hospital, Southern Medical University, Guangzhou, China.
Fuchou TangBiomedical Pioneering Innovative Center, School of Life Sciences, Peking University, Beijing, China. tangfuchou@pku.edu.cn.ORCID http://orcid.org/0000-0002-8625-7717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During mouse development, embryonic-stage germ cells (EGCs) make crucial fate decisions, with female EGCs embarking on meiosis whereas male EGCs enter mitotic arrest until birth. Despite increasing understanding of the reprogramming of epigenetic modifications, the dynamics of three-dimensional (3D) genome structures within individual EGCs remains elusive. Here we present a single-cell input, long-read Hi-C method, termed scNanoHi-C2. We use scNanoHi-C2 to systematically dissect the dynamics of EGC chromatin structures. We find that, despite changes in autosomes similar to spermatogenesis, the X chromosomes of female EGCs show enhanced specific interactions between B compartments. By reconstructing 3D genome models, we observe dynamic chromosome positioning during meiosis, showing that the neighborhood between nonhomologous chromosomes of EGCs is relatively random. Simultaneously, transposable elements undergo dramatic chromatin reorganization and display an asymmetric distribution of Alu/B2 elements around meiotic topologically associated domain boundaries. Moreover, we find that high-order interactions in EGCs at the mitosis stage are mainly enriched in the B compartment, whereas, after the mitosis-to-meiosis transition, enriched high-order interactions shift to refined A compartments, to potentially promote meiotic-specific transcription programs during global genomic condensation. We also reveal an unexpected chromatin structure in mitotic-arrested male EGCs distinct from the previously assumed G0 status, which may prime the unique genome structure for subsequent spermatogenesis. Altogether, our study highlights the potential of scNanoHi-C2 and reveals key features of the chromatin structure reprogramming in EGCs.

Indexed as

Embryonic Germ CellsGenomeSingle-Cell AnalysisAnimalsChromatinFemaleMaleMeiosisMiceMitosisX ChromosomeChromatin

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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.