Evidence mapPaperPMID 42337375Full record

ReviewNature reviews. Neuroscience2026

Astrocytes viewed through the lens of their proteomes and subproteomes.

Vanessa H Casha, Ling Wu, James A Wohlschlegel, Baljit S Khakh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 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

4 authors.

Vanessa H Casha *Department of Physiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Ling Wu *Department of Physiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
James A WohlschlegelDepartment of Biological Chemistry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Baljit S KhakhDepartment of Physiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. bkhakh@mednet.ucla.edu.ORCID http://orcid.org/0000-0002-0939-1218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Astrocytes are morphologically complex and functionally diverse glial cells that play central roles in neural circuits and disease. Although transcriptomic and physiological analyses have advanced understanding of astrocyte function, the intricacies of the relationship between gene expression and protein levels remains poorly understood. Proteins, rather than transcripts, execute the molecular processes that define astrocyte function, often within specialized subcellular compartments whose molecular composition has remained largely unresolved. Recent advances with genetically encoded proximity-dependent biotinylation have enabled mapping of astrocyte proteomes and subproteomes, revealing the spatial organization of protein networks that underpin astrocyte identity and function. In this Review we summarize strategies for defining astrocyte proteomes and subproteomes, emphasizing methodological innovations that permit cell-type-specific and spatially resolved proteomic profiling within intact neural tissue. The use of these approaches is shaping understanding of astrocyte biology by uncovering the molecular nature of their distributed physiology and the molecular basis of their interactions with neurons and other cells. Viewing astrocytes through a proteomic lens is beginning to help elucidate the molecular determinants of their morphology, signalling, and roles in homeostasis and disease. Such insights should enable detailed mechanistic understanding of astrocyte function and identify new avenues for targeting astrocytic contributions to brain disorders.

Indexed as

AstrocytesProteomeProteomicsAnimalsHumansProteome

Identifiers

What Socratic holds

Textmetadata
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.