Evidence map›Paper›PMID 41643664›Full record

ReviewDevelopmental cell2026

Organizers in a dish: Modeling human CNS morphogenesis.

Georgina Miller, Daniel J Lloyd-Davies Sánchez, José González Martínez, Alexander W Justin, Madeline A Lancaster, Luca Guglielmi

Abstract readReview
In one paragraph

Review in Developmental cell, 2026. 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

6 authors.

Georgina MillerMRC Laboratory of Molecular Biology, Cambridge, UK.
Daniel J Lloyd-Davies SánchezMRC Laboratory of Molecular Biology, Cambridge, UK.
José González MartínezMRC Laboratory of Molecular Biology, Cambridge, UK.
Alexander W JustinMRC Laboratory of Molecular Biology, Cambridge, UK.
Madeline A LancasterMRC Laboratory of Molecular Biology, Cambridge, UK. Electronic address: mlancast@mrc-lmb.cam.ac.uk.
Luca GuglielmiMRC Laboratory of Molecular Biology, Cambridge, UK; Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy. Electronic address: lguglielmi@mrc-lmb.cam.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human brain stands out for the scale of cellular and morphological complexity across anterior-posterior domains. Modeling the entire neuraxis is therefore essential to comprehend human neural development and disease. Brain organoids commonly recapitulate anterior regions due to the propensity of neural progenitors to acquire telencephalic identities and self-organize into cortical layers. In the embryo, posterior brain patterning is orchestrated by organizers, signaling centers positioned at anterior-posterior locations that are rarely induced in vitro. Several strategies have been developed to reproduce organizer signals, employing small molecules and recombinant morphogens, thereby expanding the in vitro repertoire of human neural identities. Despite this, posterior models do not yet reproduce the morphological complexity of their in vivo counterparts. In this review, we discuss how this discrepancy may stem from the inability to recapitulate the spatiotemporal dynamics of organizer activity and how recent technologies can balance guided differentiation and self-organization, enhancing the fidelity of human brain organoid models.

Indexed as

BrainCentral Nervous SystemModels, BiologicalMorphogenesisOrganoidsAnimalsBody PatterningCell DifferentiationHumansNeurodevelopmentSignal Transductionassembloidsbioengineeringgastruloidsneurodevelopmentorganizersorganoidspatterning

Identifiers

PMID41643664
PMCPMC7619060

What Socratic 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 Socratic graph.