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Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development
Author(s) -
Sean C. Bendall,
Kara L. Davis,
El-ad David Amir,
Michelle D. Tadmor,
Erin F. Simonds,
Tiffany J. Chen,
Daniel K. Shenfeld,
Garry P. Nolan,
Dana Pe’er
Publication year - 2014
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2014.04.005
Subject(s) - biology , cell , microbiology and biotechnology , computational biology , genetics
Tissue regeneration is an orchestrated progression of cells from an immature state to a mature 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 continuum by 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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