4.8 Article

Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development

Journal

CELL
Volume 157, Issue 3, Pages 714-725

Publisher

CELL PRESS
DOI: 10.1016/j.cell.2014.04.005

Keywords

-

Funding

  1. St. Baldrick's Foundation Scholar Award
  2. Alex's Lemonade Stand Young Investigator Award
  3. Lucile Packard Foundation for Children's Health
  4. NIH-NCATS-CTSA [UL1 TR001085]
  5. Child Health Research Institute of Stanford University
  6. Damon Runyon Cancer Research Foundation Fellowship [DRG-2017-09]
  7. NIH [K99GM104148-01, S10 SIG S10RR027582-01, 152175.5041015.0412, DP2-OD002414-01, U54CA121852-01A1]
  8. National Defense Science & Engineering Graduate Fellowship Program
  9. Stanford University Graduate Fellowship
  10. Google Anita Borg Memorial Scholarship
  11. William Lawrence and Blanche Hughes Foundation
  12. Entertainment Industry Foundation
  13. Northrup-Grumman Corp
  14. Alliance for Lupus Research
  15. Lymphoma Research Foundation
  16. Bill and Melinda Gates Foundation
  17. NSF [MCB-1149728]
  18. Packard Fellowship for Science and Engineering
  19. [0158 G KB065]
  20. [1R01CA130826]
  21. [5U54CA143907NIH]
  22. [CIRM: DR1-01477]
  23. [HEALTH.2010.1.2-1]
  24. [HHSF223201210194C - FDA: BAA-12-00118]
  25. [HHSN272200700038C]
  26. [N01-HV-00242]
  27. [NIH 41000411217]
  28. [NIH 5-24927]
  29. [P01 CA034233-22A1]
  30. [PN2EY018228]
  31. [RB2-01592]
  32. [U19 AI057229]
  33. [U54CA149145]
  34. [W81XWH-12-1-0591]
  35. Direct For Biological Sciences
  36. Div Of Molecular and Cellular Bioscience [1149728] Funding Source: National Science Foundation

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Tissue regeneration is an orchestrated progression of cells from an immature state to amature one, conventionally represented as distinctive cell subsets. A continuum of transitional cell states exists between these discrete stages. We combine the depth of single-cell mass cytometry and an algorithm developed to leverage this continuumby aligning single cells of a given lineage onto a unified trajectory that accurately predicts the developmental path de novo. Applied to human B cell lymphopoiesis, the algorithm (termed Wanderlust) constructed trajectories spanning from hematopoietic stem cells through to naive B cells. This trajectory revealed nascent fractions of B cell progenitors and aligned them with developmentally cued regulatory signaling including IL-7/STAT5 and cellular events such as immunoglobulin rearrangement, highlighting checkpoints across which regulatory signals are rewired paralleling changes in cellular state. This study provides a comprehensive analysis of human B lymphopoiesis, laying a foundation to apply this approach to other tissues and corrupted'' developmental processes including cancer.

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