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Stemformatics data portal enables transcriptional benchmarking of lab-derived myeloid cells.
Choi, Jarny; Butcher, Suzanne K; Angel, Paul W; Bransfield, Jack; Barry, Jake; Faux, Noel; Shaban, Bobbie; Pillai, Priyanka; Michalewicz, Aleks; Wells, Christine A.
Affiliation
  • Choi J; Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: jarnyc@unimelb.edu.au.
  • Butcher SK; Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia.
  • Angel PW; Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia.
  • Bransfield J; Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia.
  • Barry J; Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia.
  • Faux N; Melbourne Data Analytics Platform, University of Melbourne, Parkville, VIC 3010, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3010, Australia.
  • Shaban B; Melbourne Data Analytics Platform, University of Melbourne, Parkville, VIC 3010, Australia.
  • Pillai P; Melbourne Data Analytics Platform, University of Melbourne, Parkville, VIC 3010, Australia; Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC 3010, Australia.
  • Michalewicz A; Melbourne Data Analytics Platform, University of Melbourne, Parkville, VIC 3010, Australia.
  • Wells CA; Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: wells.c@unimelb.edu.au.
Stem Cell Reports ; 19(6): 922-932, 2024 Jun 11.
Article in En | MEDLINE | ID: mdl-38788723
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Benchmarking / Myeloid Cells Limits: Humans Language: En Journal: Stem Cell Reports Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Benchmarking / Myeloid Cells Limits: Humans Language: En Journal: Stem Cell Reports Year: 2024 Document type: Article Country of publication: