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Stemformatics data portal enables transcriptional benchmarking of lab-derived myeloid cells. | LitMetric

Stemformatics data portal enables transcriptional benchmarking of lab-derived myeloid cells.

Stem Cell Reports

Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia. Electronic address:

Published: June 2024

AI Article Synopsis

  • - Stemformatics.org provides a platform for the stem cell research community, offering easy access to transcriptional profiles of pluripotent and adult stem cells from various tissues and methods.
  • - The platform has evolved from curating data to integrating public datasets, now featuring integrated expression atlases focused on human myeloid cells for cross-dataset comparisons.
  • - Case studies demonstrate how users can explore relevant published datasets and match in-vitro-derived cells to the integrated atlas, showcasing specific phenotypes of interest.

Article Abstract

Stemformatics.org has been serving the stem cell research community for over a decade, by making it easy for users to find and view transcriptional profiles of pluripotent and adult stem cells and their progeny, comparing data derived from multiple tissues and derivation methods. In recent years, Stemformatics has shifted its focus from curation to collation and integration of public data with shared phenotypes. It now hosts several integrated expression atlases based on human myeloid cells, which allow for easy cross-dataset comparisons and discovery of emerging cell subsets and activation properties. The atlases are designed for external users to benchmark their own data against a common reference. Here, we use case studies to illustrate how to find and explore previously published datasets of relevance and how in-vitro-derived cells can be transcriptionally matched to cells in the integrated atlas to highlight phenotypes of interest.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11391030PMC
http://dx.doi.org/10.1016/j.stemcr.2024.04.012DOI Listing

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