Evidence map›Paper›PMID 42824119›Full record

ArticleiScience2026

Spatiotemporal development of sparse excitatory neuronal types within the deep mouse cortex.

Shalini Iyer, Mark S Cembrowski

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Shalini IyerDepartment of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Mark S CembrowskiDepartment of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Revealing the spatiotemporal organization of cell-type development is critical for understanding cortical patterning and function. To map the temporal evolution and spatial patterning of cell types in the developing mouse brain, here we employ single-cell spatial transcriptomics across four developmental time points and both sexes. We generate a dataset of >1.5 million brain cells across embryonic and postnatal time points and focus on deep cortical neurons of the subplate and claustrum, which have typically been thought to have similar developmental patterns due to shared molecular properties in adulthood. We find significant differences between the developing subplate and claustrum, including distinct origins, transcriptomic evolution, and spatiotemporal maturation, illustrating that these neurons likely play critical yet distinct roles in development. Our single-cell spatial transcriptomics dataset, encompassing a variety of cell types across time points and sexes, will facilitate future study of cell types in brain development.

Indexed as

claustrumdeveloping cell typesspatial transcriptomicssubplate

Identifiers

PMID42824119
PMCPMC13626942

What OpenQuestion holds

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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.