Literature DB >> 31494231

Donor-to-Donor Heterogeneity in the Clonal Dynamics of Transplanted Human Cord Blood Stem Cells in Murine Xenografts.

Mirjam E Belderbos1, Sabrina Jacobs2, Taco K Koster2, Albertina Ausema2, Ellen Weersing2, Erik Zwart2, Gerald de Haan2, Leonid V Bystrykh2.   

Abstract

Umbilical cord blood (UCB) provides an alternative source of hematopoietic stem cells (HSCs) for allogeneic transplantation. Administration of sufficient donor HSCs is critical to restore recipient hematopoiesis and to maintain long-term polyclonal blood formation. However, due to lack of unique markers, the frequency of HSCs among UCB CD34+ cells is the subject of ongoing debate, urging for reproducible strategies for their counting. Here, we used cellular barcoding to determine the frequency and clonal dynamics of human UCB HSCs and to determine how data analysis methods affect these parameters. We transplanted lentivirally barcoded CD34+ cells from 20 UCB donors into Nod/Scid/IL2Ry-/- (NSG) mice (n = 30). Twelve recipients (of 8 UCB donors) engrafted with >1% GFP+ cells, allowing for clonal analysis by multiplexed barcode deep sequencing. Using multiple definitions of clonal diversity and strategies for data filtering, we demonstrate that differences in data analysis can change clonal counts by several orders of magnitude and propose methods to improve their consistency. Using these methods, we show that the frequency of NSG-repopulating cells was low (median ∼1 HSC/104 CD34+ UCB cells) and could vary up to 10-fold between donors. Clonal patterns in blood became increasingly consistent over time, likely reflecting initial output of transient progenitors, followed by long-term HSCs with stable hierarchies. The majority of long-term clones displayed multilineage output, yet clones with lymphoid- or myeloid-biased output were also observed. Altogether, this study uncovers substantial interdonor and analysis-induced variability in the frequency of UCB CD34+ clones that contribute to post-transplant hematopoiesis. As clone tracing is increasingly relevant, we urge for universal and transparent methods to count HSC clones during normal aging and upon transplantation.
Copyright © 2019 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Barcode; Hematopoietic stem cells; Heterogeneity; Lineage tracing; Umbilical cord blood

Year:  2019        PMID: 31494231     DOI: 10.1016/j.bbmt.2019.08.026

Source DB:  PubMed          Journal:  Biol Blood Marrow Transplant        ISSN: 1083-8791            Impact factor:   5.742


  5 in total

1.  Measures of Clonal Hematopoiesis: Are We Missing Something?

Authors:  Leonid V Bystrykh; Mirjam E Belderbos
Journal:  Front Med (Lausanne)       Date:  2022-03-31

2.  Longitudinal clonal tracking in humanized mice reveals sustained polyclonal repopulation of gene-modified human-HSPC despite vector integration bias.

Authors:  Gajendra W Suryawanshi; Hubert Arokium; Sanggu Kim; Wannisa Khamaikawin; Samantha Lin; Saki Shimizu; Koollawat Chupradit; YooJin Lee; Yiming Xie; Xin Guan; Vasantika Suryawanshi; Angela P Presson; Dong-Sung An; Irvin S Y Chen
Journal:  Stem Cell Res Ther       Date:  2021-10-07       Impact factor: 8.079

Review 3.  DNA barcode to trace the development and differentiation of cord blood stem cells (Review).

Authors:  Mo-Yu Wang; Yang Zhou; Guang-Shun Lai; Qi Huang; Wen-Qi Cai; Zi-Wen Han; Yingying Wang; Zhaowu Ma; Xian-Wang Wang; Ying Xiang; Shu-Xian Fang; Xiao-Chun Peng; Hong-Wu Xin
Journal:  Mol Med Rep       Date:  2021-10-13       Impact factor: 2.952

4.  Aging of human hematopoietic stem cells is linked to changes in Cdc42 activity.

Authors:  Amanda Amoah; Anja Keller; Ramiz Emini; Markus Hoenicka; Andreas Liebold; Angelika Vollmer; Karina Eiwen; Karin Soller; Vadim Sakk; Yi Zheng; Maria Carolina Florian; Hartmut Geiger
Journal:  Haematologica       Date:  2022-02-01       Impact factor: 9.941

5.  The Reconstitution Dynamics of Cultivated Hematopoietic Stem Cells and Progenitors Is Independent of Age.

Authors:  Frauke Gotzhein; Tim Aranyossy; Lars Thielecke; Tanja Sonntag; Vanessa Thaden; Boris Fehse; Ingo Müller; Ingmar Glauche; Kerstin Cornils
Journal:  Int J Mol Sci       Date:  2022-03-15       Impact factor: 5.923

  5 in total

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