Author
Listed:
- Chen Weng
(Boston Children’s Hospital, Harvard Medical School
Whitehead Institute for Biomedical Research
Dana-Farber Cancer Institute, Harvard Medical School
Broad Institute of MIT and Harvard)
- Fulong Yu
(Boston Children’s Hospital, Harvard Medical School
Dana-Farber Cancer Institute, Harvard Medical School
Broad Institute of MIT and Harvard
Guangzhou Medical University)
- Dian Yang
(Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology
Columbia University)
- Michael Poeschla
(Boston Children’s Hospital, Harvard Medical School
Dana-Farber Cancer Institute, Harvard Medical School
Broad Institute of MIT and Harvard)
- L. Alexander Liggett
(Boston Children’s Hospital, Harvard Medical School
Dana-Farber Cancer Institute, Harvard Medical School
Broad Institute of MIT and Harvard)
- Matthew G. Jones
(Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology
Stanford University
Stanford University)
- Xiaojie Qiu
(Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology
Stanford University)
- Lara Wahlster
(Boston Children’s Hospital, Harvard Medical School
Dana-Farber Cancer Institute, Harvard Medical School
Broad Institute of MIT and Harvard)
- Alexis Caulier
(Boston Children’s Hospital, Harvard Medical School
Dana-Farber Cancer Institute, Harvard Medical School
Broad Institute of MIT and Harvard)
- Jeffrey A. Hussmann
(Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology)
- Alexandra Schnell
(Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology)
- Kathryn E. Yost
(Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology)
- Luke W. Koblan
(Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology)
- Jorge D. Martin-Rufino
(Boston Children’s Hospital, Harvard Medical School
Dana-Farber Cancer Institute, Harvard Medical School
Broad Institute of MIT and Harvard)
- Joseph Min
(Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology)
- Alessandro Hammond
(Boston Children’s Hospital, Harvard Medical School
Dana-Farber Cancer Institute, Harvard Medical School
Broad Institute of MIT and Harvard)
- Daniel Ssozi
(Broad Institute of MIT and Harvard
Harvard Medical School)
- Raphael Bueno
(Brigham and Women’s Hospital)
- Hari Mallidi
(Brigham and Women’s Hospital)
- Antonia Kreso
(Massachusetts General Hospital)
- Javier Escabi
(Harvard Medical School
Dana-Farber Cancer Institute)
- William M. Rideout
(Koch Institute For Integrative Cancer Research at MIT, MIT)
- Tyler Jacks
(Koch Institute For Integrative Cancer Research at MIT, MIT)
- Sahand Hormoz
(Broad Institute of MIT and Harvard
Harvard Medical School
Dana-Farber Cancer Institute)
- Peter van Galen
(Broad Institute of MIT and Harvard
Harvard Medical School
Harvard Medical School
Harvard Medical School)
- Jonathan S. Weissman
(Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology
Koch Institute For Integrative Cancer Research at MIT, MIT)
- Vijay G. Sankaran
(Boston Children’s Hospital, Harvard Medical School
Dana-Farber Cancer Institute, Harvard Medical School
Broad Institute of MIT and Harvard
Harvard Stem Cell Institute)
Abstract
The human blood system is maintained through the differentiation and massive amplification of a limited number of long-lived haematopoietic stem cells (HSCs)1. Perturbations to this process underlie diverse diseases, but the clonal contributions to human haematopoiesis and how this changes with age remain incompletely understood. Although recent insights have emerged from barcoding studies in model systems2–5, simultaneous detection of cell states and phylogenies from natural barcodes in humans remains challenging. Here we introduce an improved, single-cell lineage-tracing system based on deep detection of naturally occurring mitochondrial DNA mutations with simultaneous readout of transcriptional states and chromatin accessibility. We use this system to define the clonal architecture of HSCs and map the physiological state and output of clones. We uncover functional heterogeneity in HSC clones, which is stable over months and manifests as both differences in total HSC output and biases towards the production of different mature cell types. We also find that the diversity of HSC clones decreases markedly with age, leading to an oligoclonal structure with multiple distinct clonal expansions. Our study thus provides a clonally resolved and cell-state-aware atlas of human haematopoiesis at single-cell resolution, showing an unappreciated functional diversity of human HSC clones and, more broadly, paving the way for refined studies of clonal dynamics across a range of tissues in human health and disease.
Suggested Citation
Chen Weng & Fulong Yu & Dian Yang & Michael Poeschla & L. Alexander Liggett & Matthew G. Jones & Xiaojie Qiu & Lara Wahlster & Alexis Caulier & Jeffrey A. Hussmann & Alexandra Schnell & Kathryn E. Yos, 2024.
"Deciphering cell states and genealogies of human haematopoiesis,"
Nature, Nature, vol. 627(8003), pages 389-398, March.
Handle:
RePEc:nat:nature:v:627:y:2024:i:8003:d:10.1038_s41586-024-07066-z
DOI: 10.1038/s41586-024-07066-z
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