Evidence map›Paper›PMID 37595032›Full record

ArticleScience advances2023

Organoid cell fate dynamics in space and time.

Xuan Zheng, Max A Betjes, Pascal Ender, Yvonne J Goos, Guizela Huelsz-Prince, Hans Clevers, Jeroen S van Zon, Sander J Tans

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.1field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Artificial intelligence virtual bone organoids (AIVBOs).Journal of orthopaedic translation · 2026
    Review
  5. Article
  6. Article
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  8. Article
  9. Article
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  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. [A review on depth perception techniques in organoid images].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review
  17. Review
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

8 authors at 2 institutions in 1 country.

Xuan ZhengAMOLF, Amsterdam, Netherlands.ORCID 0000-0002-1700-9082
Max A BetjesAMOLF, Amsterdam, Netherlands.ORCID 0000-0001-6992-9975
Pascal EnderAMOLF, Amsterdam, Netherlands.ORCID 0000-0001-7015-6228
Yvonne J GoosAMOLF, Amsterdam, Netherlands.
Guizela Huelsz-PrinceAMOLF, Amsterdam, Netherlands.
Hans CleversOncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, Uppsalalaan 8, Utrecht 3584 CT, Netherlands.ORCID 0000-0002-3077-5582
Jeroen S van ZonAMOLF, Amsterdam, Netherlands. Email: j.v.zon@amolf.nlORCID 0000-0002-6021-2924
Sander J TansBionanoscience Department, Kavli Institute of Nanoscience Delft, Delft University of Technology, Delft, Netherlands.ORCID 0000-0002-7131-2568
Institute for Atomic and Molecular Physics · NLRoyal Netherlands Academy of Arts and Sciences · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organoids are a major new tool to study tissue renewal. However, characterizing the underlying differentiation dynamics remains challenging. Here, we developed TypeTracker, which identifies cell fates by AI-enabled cell tracking and propagating end point fates back along the branched lineage trees. Cells that ultimately migrate to the villus commit to their new type early, when still deep inside the crypt, with important consequences: (i) Secretory cells commit before terminal division, with secretory fates emerging symmetrically in sister cells. (ii) Different secretory types descend from distinct stem cell lineages rather than an omnipotent secretory progenitor. (iii) The ratio between secretory and absorptive cells is strongly affected by proliferation after commitment. (iv) Spatial patterning occurs after commitment through type-dependent cell rearrangements. This "commit-then-sort" model contrasts with the conventional conveyor belt picture, where cells differentiate by moving up the crypt-villus axis and hence raises new questions about the underlying commitment and sorting mechanisms.

Indexed as

OrganoidsBiological TransportCell DifferentiationCell LineageCell Movement

Identifiers

PMID37595032
PMCPMC10438469
OpenAlexW4385971475

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.