ArticleStem cell reports2025
Embracing the heterogeneity of neural stem cells in the subventricular zone.
Article in Stem cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Identification of a novel deeply quiescent neural stem cell population in the subventricular zone: a potential source for brain repair.Cell discovery · 2026Article
- Single-cell transcriptomic profiling of human fetal neural stem cells isolated from the subventricular zone.Frontiers in cell and developmental biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neural stem cells (NSCs) of the subventricular zone (SVZ) could be a potential source for brain repair. These are heterogeneous cells with distinct activation states. To identify NSCs in the SVZ, different markers are used, including Gfap, Nestin, and Sox2. A comparison of these different methods to assess if the NSC marker used is selective toward specific NSC states is currently lacking. Here, we integrated six previously published single-cell RNA sequencing datasets from the adult mouse SVZ, where different methods were used to identify NSCs. Our data show that the approach used to isolate NSCs favors certain cell states over others. Our analyses underscore the importance of enriching for the NSC population of interest to increase data granularity. We also observed that cells with lower gene expression can be assigned incorrectly to clusters. We provide a framework for choosing the most optimal approach to enrich for NSC states of interest.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.