A secreted proteomic footprint for stem cell pluripotency
2025
A secreted proteomic footprint for stem cell pluripotency
publication
Author Information
Author(s): Lewis Philip A., Silajdžić Edina, Smith Helen, Bates Nicola, Smith Christopher A., Mancini Fabrizio E., Knight David, Denning Chris, Brison Daniel R., Kimber Susan J.
Conclusion
The study found a correlation between changes in secreted proteins and RNA-seq data related to stem cell pluripotency.
Supporting Evidence
- The study shows a correlation between significantly changed secreted proteins and RNA-seq data.
- Man-13 R2 = 0.44 & Rebl.PAT R2 = 0.54 indicate the strength of the correlation.
Takeaway
The researchers looked at proteins that stem cells release and found that these proteins change in a way that matches changes in their genetic material.
Methodology
Protein data was paired to RNA-Seq data using Entrez IDs retrieved from Uniprot and Bioconductor.
Statistical Information
Statistical Significance
q<0.05
Digital Object Identifier (DOI)
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