Evidence map›Paper›PMID 40502440›Full record

ArticleAPL bioengineering2025

Development of large-scale gastruloid array to identify aberrant developmental phenotypes.

Ian Jan, Andrew Cearlock, Min Yang, Nancy L Allbritton

Abstract read
In one paragraph

Article in APL bioengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ian JanDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, USA.ORCID https://orcid.org/0000-0002-4638-763X
Andrew Cearlock

Funding

Characterization of aneuploidy, cell fate and mosaicism in early developmentR00HD107219 · NICHD · UNIVERSITY OF WASHINGTON · PI YANG, MIN · 2023 to 2025
$724k
Modeling Chromosomal Mosaicism During Early Human Embryogenesis on Microraft Array PlatformF31HD115304 · NICHD · UNIVERSITY OF WASHINGTON · PI Ian Jan · 2025 to 2026
$77k
NICHD NIH HHS F31 HD115304NICHD NIH HHS R00 HD107219
6 · The paper itself

Abstract

Adherent two-dimensional human gastruloids have provided insights into early human embryogenesis. Even though the model system is highly reproducible, no available automated technology can screen and sort large numbers of these near-millimeter-sized complex structures for large-scale assays. Here, we developed a microraft array-based technology to perform image-based assays of large numbers of fixed or living gastruloids and sort individual gastruloids for downstream assays, such as gene expression analysis. Arrays of 529 indexed magnetic microrafts each (789 µm side length) possessing flat surfaces were photopatterned with a central circular region (500 µm diameter) of extracellular matrix with an accuracy of 93 ± 1% to form a single gastruloid on each raft. An image analysis pipeline extracted features from transmitted light and fluorescence images of the gastruloids. The large microrafts were released and collected by an automated sorting system with efficiencies of 98 ± 4% and 99 ± 2%, respectively. The microraft array platform was used to assay individual euploid and aneuploid (possessing abnormal numbers of chromosomes) gastruloids with clear phenotypic differences. Aneuploid gastruloids displayed significantly less DNA/area than euploid gastruloids. However, even gastruloids with the same condition displayed significant heterogeneity. Both noggin (NOG) and keratin 7 (KRT7), two genes involved in spatial patterning within gastruloids, were upregulated in aneuploid relative to that in the euploid gastruloids. Moreover, relative NOG and KRT7 expressions were negatively correlated with DNA/area. The microraft arrays will empower novel screens of single gastruloids for a better understanding of key mechanisms underlying phenotypic differences between gastruloids.

Identifiers

PMID40502440
PMCPMC12158465

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Registered trials

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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.