ReviewStem cell reports2025
A novel paradigm for single-cell annotation in stem cell research.
Review in Stem cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stem cell-derived models are a powerful tool for studying biology and are increasingly paving the way for cell-based therapies. However, understanding precisely which cell types are present and how closely they recapitulate in vivo cells remains challenging. Single-cell genomics, coupled with annotation methods, provides a framework for evaluating the congruence of stem cells with in vivo biology. Here, we explore approaches to cell annotation and discuss the challenges of implementing these methods in stem cell-derived models. We provide recommendations for the application of these methods, as well as our vision for the future of stem cell annotation using cell manifolds.
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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.