Journal
SCIENCE
Volume 367, Issue 6479, Pages -Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.aaw3381
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Funding
- NIH [HL128850-01A1, P01HL13147]
- Harvard Stem Cell Institute Blood Program Pilot grant [DP-0174-18-00]
- Chan-Zuckerberg Initiative [2018-182714]
- Merck Fellowship from the Life Sciences Research Foundation
- EMBO Long-Term Fellowship [ALTF 675-2015]
- American Society of Hematology Scholar Award
- Leukemia AMP
- Lymphoma Society Career Development Program Award [3391-19]
- Howard Hughes Medical Institute
- Leukemia AMP
- Lymphoma Society
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A challenge in biology is to associate molecular differences among progenitor cells with their capacity to generate mature cell types. Here, we used expressed DNA barcodes to clonally trace transcriptomes over time and applied this to study fate determination in hematopoiesis. We identified states of primed fate potential and located them on a continuous transcriptional landscape. We identified two routes of monocyte differentiation that leave an imprint on mature cells. Analysis of sister cells also revealed cells to have intrinsic fate biases not detectable by single-cell RNA sequencing. Finally, we benchmarked computational methods of dynamic inference from single-cell snapshots, showing that fate choice occurs earlier than is detected by state-of the-art algorithms and that cells progress steadily through pseudotime with precise and consistent dynamics.
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