Evidence map›Paper›PMID 39416060›Full record

ArticlebioRxiv : the preprint server for biology2025

Astrocyte regional specialization is shaped by postnatal development.

Margaret E Schroeder, Dana M McCormack, Lukas R Metzner, Jinyoung Kang, Katelyn X Li, Eunah Yu, Lisa Melamed, Kirsten M Levandowski, Heather Zaniewski, Qiangge Zhang and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

13 authors.

Margaret E SchroederMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0000-0002-2228-7482
Dana M McCormackMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0009-0008-6330-0314
Lukas R MetznerMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0009-0003-6109-9059
Jinyoung KangMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0000-0001-6116-3477
Katelyn X LiMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0000-0001-8799-0534
Eunah YuMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0000-0002-0937-1663
Lisa MelamedMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0009-0008-5204-5135
Kirsten M LevandowskiMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0000-0002-4811-9217
Heather ZaniewskiMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0000-0003-0239-9353
Qiangge ZhangMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0000-0001-7297-0717
Edward S BoydenMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0000-0002-0419-3351
Fenna M KrienenPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-1400-6820
Guoping FengMcGovern Institute for Brain Research, MIT, Cambridge, MA, USA.ORCID 0000-0002-8021-277X

Funding

Functionally guided adult whole brain cell atlas in human and NHPUM1MH130981 · NIMH · ALLEN INSTITUTE · PI Ed Lein, Hongkui Zeng · 2022 to 2026
$91.9M
A Molecular and Cellular Atlas of the Marmoset BrainU01MH114819 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FENG, GUOPING · 2017 to 2021
$6.9M
Expansion MicroscopyR01EB024261 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S. · 2017 to 2025
$4.6M
Mechanisms of pathology and neuronal hyperactivity in a memory circuit in Alzheimer's diseaseR01AG070831 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., TSAI, LI-HUEI · 2021 to 2025
$3.2M
Lipid imaging expansion microscopy to study Alzheimer's diseaseR01AG087374 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Edward S. Boyden, Li-Huei Tsai · 2024 to 2026
$2.3M
A multi-modal, brain-wide atlas of astrocyte diversity across developmental stages and model speciesF31MH133329 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCHROEDER, MARGARET ELIZABETH · 2023 to 2024
$97k
NIA NIH HHS R01 AG070831NIA NIH HHS R01 AG087374NIBIB NIH HHS R01 EB024261NIMH NIH HHS F31 MH133329NIMH NIH HHS U01 MH114819NIMH NIH HHS UM1 MH130981
6 · The paper itself

Abstract

Astrocytes are an abundant class of glial cells with critical roles in neural circuit assembly and function. Though many studies have uncovered significant molecular distinctions between astrocytes from different brain regions, how this regionalization unfolds over development is not fully understood. We used single-nucleus RNA sequencing to characterize the molecular diversity of brain cells across six developmental stages and four brain regions in the mouse and marmoset brain. Our analysis of over 170,000 single astrocyte nuclei revealed striking regional heterogeneity among astrocytes, particularly between telencephalic and diencephalic regions, at all developmental time points surveyed in both species. At the stages sampled, most of the region patterning was private to astrocytes and not shared with neurons or other glial types. Though astrocytes were already regionally patterned in late embryonic stages, this region-specific astrocyte gene expression signature changed dramatically over postnatal development, and its composition suggests that regional astrocytes further specialize postnatally to support their local neuronal circuits. Across mouse and marmoset, we found hundreds of species differentially expressed genes, as well as divergence in the expression of astrocytic region- and age-differentially expressed genes and the timing of astrocyte maturation relative to birth between the species. Finally, we used expansion microscopy to show that astrocyte morphology is also regionally specialized across cortex, striatum, and thalamus in the mouse.

Identifiers

PMID39416060
PMCPMC11482951

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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.