Unknown

Dataset Information

0

Multiparameter analysis of timelapse imaging reveals kinetics of megakaryocytic erythroid progenitor clonal expansion and differentiation.


ABSTRACT: Single-cell assays have enriched our understanding of hematopoiesis and, more generally, stem and progenitor cell biology. However, these single-end-point approaches provide only a static snapshot of the state of a cell. To observe and measure dynamic changes that may instruct cell fate, we developed an approach for examining hematopoietic progenitor fate specification using long-term (> 7-day) single-cell time-lapse imaging for up to 13 generations with in situ fluorescence staining of primary human hematopoietic progenitors followed by algorithm-assisted lineage tracing. We analyzed progenitor cell dynamics, including the division rate, velocity, viability, and probability of lineage commitment at the single-cell level over time. We applied a Markov probabilistic model to predict progenitor division outcome over each generation in culture. We demonstrated the utility of this methodological pipeline by evaluating the effects of the cytokines thrombopoietin and erythropoietin on the dynamics of self-renewal and lineage specification in primary human bipotent megakaryocytic-erythroid progenitors (MEPs). Our data support the hypothesis that thrombopoietin and erythropoietin support the viability and self-renewal of MEPs, but do not affect fate specification. Thus, single-cell tracking of time-lapse imaged colony-forming unit assays provides a robust method for assessing the dynamics of progenitor self-renewal and lineage commitment.

SUBMITTER: Scanlon VM 

PROVIDER: S-EPMC9519589 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Multiparameter analysis of timelapse imaging reveals kinetics of megakaryocytic erythroid progenitor clonal expansion and differentiation.

Scanlon Vanessa M VM   Thompson Evrett N EN   Lawton Betty R BR   Kochugaeva Maria M   Ta Kevinminh K   Mayday Madeline Y MY   Xavier-Ferrucio Juliana J   Kang Elaine E   Eskow Nicole M NM   Lu Yi-Chien YC   Kwon Nayoung N   Laumas Anisha A   Cenci Matthew M   Lawrence Kalyani K   Barden Katie K   Larsuel Shannon T ST   Reed Fiona E FE   Peña-Carmona Gabriela G   Ubbelohde Ashley A   Lee June P JP   Boobalan Shakthi S   Oppong Yvette Y   Anderson Rachel R   Maynard Colby C   Sahirul Kaylie K   Lajeune Callista C   Ivathraya Varsha V   Addy Tiffany T   Sanchez Patricia P   Holbrook Colin C   Van Ho Andrew Tri AT   Duncan James S JS   Blau Helen M HM   Levchenko Andre A   Krause Diane S DS  

Scientific reports 20220928 1


Single-cell assays have enriched our understanding of hematopoiesis and, more generally, stem and progenitor cell biology. However, these single-end-point approaches provide only a static snapshot of the state of a cell. To observe and measure dynamic changes that may instruct cell fate, we developed an approach for examining hematopoietic progenitor fate specification using long-term (> 7-day) single-cell time-lapse imaging for up to 13 generations with in situ fluorescence staining of primary  ...[more]

Similar Datasets

| S-EPMC1794062 | biostudies-literature
| S-EPMC5218995 | biostudies-other
| S-EPMC3956667 | biostudies-literature
| S-EPMC11316338 | biostudies-literature
| S-EPMC4232189 | biostudies-literature
| S-EPMC10651789 | biostudies-literature
| S-EPMC8583893 | biostudies-literature
| S-EPMC6839952 | biostudies-literature
| S-EPMC6265651 | biostudies-literature