A track of the clones: new developments in cellular barcoding

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Anne-Marie Lyne - , University of Pittsburgh (Author)
  • David G Kent - , University of Cambridge (Author)
  • Elisa Laurenti - , University of Cambridge (Author)
  • Kerstin Cornils - , University of Hamburg (Author)
  • Ingmar Glauche - , Institute for Medical Informatics and Biometry (Author)
  • Leïla Perié - , Sorbonne Université (Author)

Abstract

International experts from multiple disciplines gathered at Homerton College in Cambridge, UK from September 12-14, 2018 to consider recent advances and emerging opportunities in the clonal tracking of hematopoiesis in one of a series of StemCellMathLab workshops. The group included 35 participants with experience in the fields of theoretical and experimental aspects of clonal tracking, and ranged from doctoral students to senior professors. Data from a variety of model systems and from clinical gene therapy trials were discussed, along with strategies for data analysis and sharing and challenges arising due to underlying assumptions in data interpretation and communication. Recognizing the power of this technology underpinned a group consensus of a need for improved mechanisms for sharing data and analytical protocols to maintain reproducibility and rigor in its application to complex tissues.

Details

Original languageEnglish
Pages (from-to)15-20
Number of pages6
JournalExperimental hematology
Volume68
Publication statusPublished - Dec 2018
Peer-reviewedYes

External IDs

Scopus 85057441946
ORCID /0000-0002-2524-1199/work/142251511

Keywords

Keywords

  • Cell Lineage, Cell Separation/methods, Cell Tracking/methods, Clinical Trials as Topic, Clone Cells/cytology, DNA Barcoding, Taxonomic/methods, DNA Transposable Elements, Data Display/standards, Forecasting, Genetic Markers, Genetic Therapy, Guidelines as Topic, Hematopoiesis, Models, Biological, Mosaicism, Reproducibility of Results, Research Design, Stem Cells/cytology, Virus Integration/genetics

Library keywords