Evidence map›Paper›PMID 39271748›Full record

ArticleCommunications biology2024

Nucleolus and centromere Tyramide Signal Amplification-Seq reveals variable localization of heterochromatin in different cell types.

Pradeep Kumar, Omid Gholamalamdari, Yang Zhang, Liguo Zhang, Anastassiia Vertii, Tom van Schaik, Daan Peric-Hupkes, Takayo Sasaki, David M Gilbert, Bas van Steensel and 3 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genome-wide chromatin recording resolves dynamic cell state changes.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Pradeep KumarDepartment of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0002-1060-1286
Omid GholamalamdariDepartment of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0002-5773-1205
Yang ZhangRay and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.
Liguo ZhangDepartment of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Anastassiia VertiiDepartment of Molecular, Cellular and Cancer Biology, University of Massachusetts Medical School, Worcester, MA, USA.
Tom van SchaikDivision of Gene Regulation and Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Daan Peric-HupkesDivision of Gene Regulation and Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Takayo SasakiSan Diego Biomedical Research Institute, San Diego, CA, USA.
David M GilbertSan Diego Biomedical Research Institute, San Diego, CA, USA.ORCID 0000-0001-8087-9737
Bas van SteenselDivision of Gene Regulation and Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-0284-0404
Jian MaRay and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-4202-5834
Paul D KaufmanDepartment of Molecular, Cellular and Cancer Biology, University of Massachusetts Medical School, Worcester, MA, USA.ORCID 0000-0003-3089-313X
Andrew S BelmontDepartment of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA. asbel@illinois.edu.ORCID 0000-0002-6540-0801

Funding

Multiscale Analyses of 4D Nucleome Structure and Function by Comprehensive Multimodal Data IntegrationUM1HG011593 · NHGRI · CARNEGIE-MELLON UNIVERSITY · PI ALBER, FRANK, BELMONT, ANDREW STEVEN · 2020 to 2024
$10.4M
Mapping Technology DevelopmentU54DK107965 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MA, JIAN · 2015 to 2019
$8.6M
NHGRI NIH HHS UM1 HG011593NIDDK NIH HHS U54 DK107965U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U01CA260669U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) UM1HG011593U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) U54DK107965
6 · The paper itself

Abstract

Genome differential positioning within interphase nuclei remains poorly explored. We extended and validated Tyramide Signal Amplification (TSA)-seq to map genomic regions near nucleoli and pericentric heterochromatin in four human cell lines. Our study confirmed that smaller chromosomes localize closer to nucleoli but further deconvolved this by revealing a preference for chromosome arms below 36-46 Mbp in length. We identified two lamina associated domain subsets through their differential nuclear lamina versus nucleolar positioning in different cell lines which showed distinctive patterns of DNA replication timing and gene expression across all cell lines. Unexpectedly, active, nuclear speckle-associated genomic regions were found near typically repressive nuclear compartments, which is attributable to the close proximity of nuclear speckles and nucleoli in some cell types, and association of centromeres with nuclear speckles in human embryonic stem cells (hESCs). Our study points to a more complex and variable nuclear genome organization than suggested by current models, as revealed by our TSA-seq methodology.

Indexed as

Cell NucleolusCentromereHeterochromatinCell LineHumansHeterochromatin

Identifiers

PMID39271748
PMCPMC11399238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.