Evidence map›Paper›PMID 34311744›Full record

ArticleGenome biology2021

DeTOKI identifies and characterizes the dynamics of chromatin TAD-like domains in a single cell.

Xiao Li, Guangjie Zeng, Angsheng Li, Zhihua Zhang

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Unveiling Multi-Scale Architectural Features in Single-Cell Hi-C Data Using scCAFE.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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

4 authors.

Xiao LiCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, 100101, China.
Guangjie ZengState Key Laboratory of Software Development Environment, School of Computer Science, Beihang University, 100083, Beijing, People's Republic of China.
Angsheng LiState Key Laboratory of Software Development Environment, School of Computer Science, Beihang University, 100083, Beijing, People's Republic of China.
Zhihua ZhangCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, 100101, China. zhangzhihua@big.ac.cn.ORCID 0000-0002-7706-9247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Topologically associating domains (TAD) are a key structure of the 3D mammalian genomes. However, the prevalence and dynamics of TAD-like domains in single cells remain elusive. Here we develop a new algorithm, named deTOKI, to decode TAD-like domains with single-cell Hi-C data. By non-negative matrix factorization, deTOKI seeks regions that insulate the genome into blocks with minimal chance of clustering. deTOKI outperforms competing tools and reliably identifies TAD-like domains in single cells. Finally, we find that TAD-like domains are not only prevalent, but also subject to tight regulation in single cells.

Indexed as

AlgorithmsChromatin Assembly and DisassemblyGenomeSoftwareAnimalsCCCTC-Binding FactorCell Cycle ProteinsChromatinCluster AnalysisDNA-Binding ProteinsEntropyGene ExpressionHistonesHumansMammalsSingle-Cell AnalysisCCCTC-Binding FactorCell Cycle ProteinsChromatinCTCF protein, humanDNA-Binding ProteinsHistonesRAD21 protein, human3D genomeHi-CSingle cellTAD

Identifiers

PMID34311744
PMCPMC8314462

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.