ReviewStem cell reviews and reports2026
Integrating Single-Cell Sequencing and Proteomics to Unravel Stem Cell Heterogeneity: Implications for Precision Regenerative Medicine.
Review in Stem cell reviews and reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- From Single-cell Heterogeneity to Regenerative-medicine Accountability: A Global Readiness Passport for Stem-Cell Products.Stem cell reviews and reports · 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
7 authors.
Funding
Abstract
Stem cell populations are inherently diverse, consisting of distinct subtypes with unique molecular signatures, self-renewal capacities, and differentiation potentials. This natural variability complicates their clinical use, leading to unpredictable treatment outcomes and safety concerns in regenerative medicine. Traditional bulk analysis methods obscure this vital cellular diversity by providing average data. Therefore, studying stem cell heterogeneity at the single-cell level is crucial for developing reliable and precise therapeutic strategies. This review examines how integrating single-cell sequencing with proteomics technologies enhances the current understanding of stem cell biology. We discuss how single-cell RNA sequencing reveals transcriptomic diversity, identifies rare subpopulations, and traces lineage pathways. Additionally, we highlight emerging single-cell proteomic techniques, such as mass cytometry and high-sensitivity mass spectrometry, which directly analyze functional protein expression and signaling networks that ultimately define cellular phenotypes. Combining these methods provides a comprehensive view of stem cell states, offering insights into the molecular mechanisms that influence fate decisions and responses to external signals. Ultimately, these advances enable precision regenerative medicine by improving cell characterization and developing tailored differentiation strategies for safe and effective clinical applications.
Indexed as
Identifiers
41951880What 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.