• No results found

Left or right? Directions to stem cell engraftment: Directions to stem cell engraftment

N/A
N/A
Protected

Academic year: 2021

Share "Left or right? Directions to stem cell engraftment: Directions to stem cell engraftment"

Copied!
4
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

University of Groningen

Left or right? Directions to stem cell engraftment

Belderbos, Mirjam E; Bystrykh, Leonid; de Haan, Gerald

Published in:

Journal of Experimental Medicine DOI:

10.1084/jem.20171904

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date: 2018

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Belderbos, M. E., Bystrykh, L., & de Haan, G. (2018). Left or right? Directions to stem cell engraftment: Directions to stem cell engraftment. Journal of Experimental Medicine, 215(1), 13-15.

https://doi.org/10.1084/jem.20171904

Copyright

Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons).

Take-down policy

If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.

(2)

i nsigh ts

1

Left or r ight? Directions to stem cell engraftment

In this issue of JEM, Wu et al. (https ://doi .org /10 .1084 /jem .20171341) use genetic barcoding of macaque hematopoietic stem

cells to demonstrate that, after transplantation, HSCs are very asymmetrically distributed and uncover a thymus-independent pathway for mature T cell production in the bone marrow.

Hematopoietic stem cells (HSCs) pro-duce all blood cell lineages for the entire lifespan of an organism. Therapeutically, transplantation of HSCs is used to treat patients with a variety of hematological disorders or metabolic diseases. HSC transplantation (HSCT) is arguably the only stem cell therapy that is routinely performed, now in hundreds of thou-sands of patients. Surprisingly, though, our understanding of the locational fate of transplanted HSCs is very limited. For instance, we do not know where HSCs land (or home) in the bone mar-row, when and where HSC mobiliza-tion takes place, nor whether there are lineage-specific production sites in the marrow.

To address some of these questions, in this issue, Wu et al. studied the fate of peripheral blood CD34+ hematopoietic

stem and progenitor cells (HSPCs) and their progeny upon autologous trans-plantation in rhesus macaques. Using a genetic barcoding strategy, analogously as has been done previously in murine (Gerrits et al., 2010; Naik et al., 2013) and human xenotransplantation studies (Cheung et al., 2013; Brugman et al., 2015), the authors quantitatively tracked hundreds of HSPCs over time and space. At multiple time points after transplan-tation, barcode composition, represent-ing the quantitative output of individual HSCs, was measured in peripheral blood cells, lymph nodes, and two anatomically distinct bone marrow sites (the left and right iliac crest). These analyses revealed that the transplanted HSC clones were highly asymmetrically localized across different anatomical sites. Despite rapid normalization of blood counts and bone marrow cellularity, HSC equilibration between different marrow sites took months to sometimes years. Notably,

HSC mobilization followed a tri-phasic pattern, characterized by HSC homing, followed by local blood cell production at the site of (potential) engraftment, and only later mobilization and equilibration in distant sites. In addition, by compar-ing clonal patterns of more differentiated cells across different anatomical loca-tions, the authors were able to delineate clonal hierarchies and preferred sites of production of certain cell types. For in-stance, they demonstrate that the clonal origins of CD16+ and CD56+ NK cells

are distinct and that CD16−CD56+ NK

cells are preferentially produced in the bone marrow, whereas CD16+CD56

NK cell production preferentially takes place in extramedullary sites. Finally, the authors also identify the local, site-spe-cific presence of CD3+ T cell

popula-tions in bone marrow, which are clonally related to their surrounding CD34+

HSCs, suggestive of their local, thy-mus-independent production.

These results, in conjunction with previous studies, demonstrate the value of genetic barcoding to assess HSC dy-namics, revealing intriguing and hith-erto unappreciated spatial asymmetry of normal HSCs after transplantation (Verovskaya et al., 2014; Bystrykh and Belderbos, 2016). Simultaneously, these findings raise multiple questions.

For instance, the mechanisms guiding HSC migration to and from specific anatomical sites remain unclear. Understanding these mechanisms is of great interest, as this may yield new therapeutic opportunities to enhance/ accelerate HSC engraftment upon transplantation. The work by Wu et al. (2018) is consistent with a tri-phasic model of HSC engraftment and mo-bilization upon HSCT (see figure, part A). First, transplanted HSCs home and

engraft in different anatomical sites, which is characterized by marked asym-metry. Although it is tempting to spec-ulate that this early asymmetry reflects functional differences between HSCs and their niche, one should bear in mind that the observed clonal distribu-tion patterns may also be explained by the single-cell nature of the barcoding technique. After all, a single HSC can only home and engraft to one anatom-ical site. As HSC niches in the left and right iliac crest are presumably highly similar, the initial differences in clonal composition between these locations observed by Wu et al. (2018) are likely stochastic. Nonetheless, in other stud-ies, many differences have been identi-fied in the composition of HSC niches between more distant anatomical sites, which have been postulated to drive HSC diversity (Morrison and Scadden, 2014). Accordingly, bidirectional com-munication between HSCs and their niche may dictate HSC homing and/or fate upon (stochastic) engraftment in a certain site.

The second phase of engraftment is characterized by local HSC prolifer-ation, resulting in simultaneous detec-tion of CD34+ HSCs and their clonal

progeny at the site of engraftment, but not at distant sites (see figure, part B). Although the clonal progeny of some

Mirjam E. Belderbos, Leonid Bystrykh, and Gerald de Haan, Department of Stem Cell Biology and Ageing, European Research Institute for the Biology of Ageing, University Med-ical Center Groningen, University of Groningen, Netherlands; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands: g.de.haan@umcg.nl

© 2018 Belderbos et al. This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http ://www .rupress .org /terms /). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https ://creativecommons .org /licenses /by -nc -sa /4 .0 /).

Insight from Mirjam E. Belderbos, Leonid Bystrykh, and Gerald de Haan

on December 19, 2017

jem.rupress.org

(3)

22

HSCs can egress from their niche, the majority of HSC clones are still con-fined to their site of initial engraftment, resulting in marked asymmetry at the bone marrow level. Importantly, in the paper by Wu et al. (2018), the ability of HSCs to contribute to blood formation early after transplantation seemed to be independent of their clone size in the bone marrow, suggesting that factors other than proliferation allow for their mobilization. In clinical transplantation protocols, the interval between HSCT and blood cell recovery is the major predictor of patient outcome. Accord-ingly, insight into the mechanisms in-ducing HSC mobilization to blood may identify novel targets to accelerate en-graftment and improve the outcome of clinical HSCT recipients.

Finally, the third phase of HSC engraftment consists of gradual equili-bration over the skeleton over a period of months to years (see figure, part C), ultimately resulting in HSC symmetry, in which the majority of (large) HSC clones are present in all locations. Of note, as Wu et al. (2018) restricted their analysis to major clones, the presence of residual asymmetry of minor clones cannot be excluded.

Regardless of the underlying mechanism, the findings by Wu et al. (2018) have important implications for fundamental studies on HSC biology, as well as for clinical HSCT procedures.

First, locational asymmetry may have a profound impact on the quan-tification of HSC frequency. Currently, most experimental strategies to quantify HSC frequency rely on (xeno)-trans-plantation of a population of hema-topoietic stem/progenitor cells, either labeled or in limiting dilution (Bystrykh et al., 2012; Cheung et al., 2013). Subse-quently, HSC frequency is calculated by dividing the number of retrieved clones by the administered cell dose. However, if measurements are performed in a single location, before HSCs have fully equilibrated, this may result in a large number of clones remaining undetected and an underestimation of true HSC frequency.

Second, locational asymmetry af-fects our understanding of clonal hierar-chy. In the study by Wu et al. (2018), the relative abundance of individual clones varied according to the location sam-pled. Especially at early time points after transplantation, the majority of domi-nant clones in the left iliac crest were

minor in the right iliac crest, and vice versa. Accordingly, clonal abundance in a single location may not necessarily re-flect dominance in the total body (i.e., if all sites were analyzed). In fact, clonal dominance in the peripheral blood (re-ferred to as clonal hematopoiesis of in-determinate potential), which has now been well established to occur during ageing in humans (Steensma et al., 2015), may not reflect clonal dominance at the bone marrow stem cell level. In addition, a decreasing size of a specific clone in one location may not reflect its decreased fitness compared with other clones, but may also indicate enhanced capacity to mobilize and engraft in other sites. Altogether, elaborate clone-track-ing strategies, samplclone-track-ing multiple skele-tal sites at multiple time points, will be needed to fully assess and discriminate HSC clonal complexity and dynamics.

Third, because of the lack of unique markers to identify HSCs and their clonal offspring in humans, their anatomical distribution in human recip-ients is still unknown. Nonetheless, the study by Wu et al. (2018) implies that sampling of a single skeletal site early after transplantation may not be suffi-cient to monitor engraftment and that clonal analyses in blood may be more representative. In the future, single-cell next generation sequencing technology may allow investigation of HSC dynam-ics and locational distribution in human recipients. These studies will be essential to determine how interactions between the bone marrow niche and transplanted donor HSC influence HSC fate, how factors like donor source and condi-tioning regimen impact HSC distribu-tion, and how these can be exploited to enhance bone marrow reconstitution upon HSCT.

Finally, similar to the spatial asym-metry of normal HSCs observed in the current study, spatial diversity has also been shown to occur in malignancy. In solid tumors, the spectrum of genetic mutations differs between different lo-cations within an individual tumor (Eirew et al., 2015; Lan et al., 2017) and between the primary tumor and meta-static sites (Turajlic and Swanton, 2016). A tri-phasic model of HSC engraftment. The top circle graphs demonstrate HSC distribution

across different anatomical locations in several phases after transplantation. The bottom bar graphs show the resulting clonal complexity. (A) Early after transplantation, HSC distribution is characterized by marked asymmetry intrinsic to single-cell engraftment. (B) Subsequently, HSC proliferation produces clonal offspring, which are initially largely confined to their initial site of production. Only few clones (for as yet unknown reasons) have the capacity to mobilize, which is clone-size independent. (C) Only months to years after transplant, HSC composition equilibrates across different sites. In the example given, at each time point, several clones is found in blood that is not present in any of the sampled bone marrow sites, suggestive of their production in other, nonsampled locations.

on December 19, 2017

jem.rupress.org

(4)

3

JEM 3

In recent xenograft studies, a similar pro-cess is suggested to apply to hematologic malignancies as well (Belderbos et al., 2017; Elder et al., 2017). This is of vital importance, as it suggests that clones may “hide” in certain skeletal locations and that sampling of a single bone marrow site, as is now common clinical practice, may be insufficient to capture full tumor heterogeneity. Moreover, as the local microenvironment can influence tumor cell properties, locational asymmetry may contribute to tumor heterogeneity and drive therapeutic resistance and dis-ease relapse.

In sum, dissecting the degree of spatial asymmetry of normal HSCs and of their malignant counterparts will be of significant interest for our under-standing of normal hematopoiesis and leukemia. In particular, it will be key to determine whether anatomical

localiza-tion impacts on essential cell properties like proliferation, differentiation and sensitivity to therapeutic agents.

ACknOWLEdGMEnTS

M.E. Belderbos receives research funding from the Dutch Cancer Society (grant no. RUG 2015-7964).

REfEREnCES

Belderbos, M.E., et al. 2017. Blood. https ://doi .org /10 .1182 /blood -2016 -12 -758250 Brugman, M.H., et al. 2015. Proc. Natl. Acad.

Sci. USA. https ://doi .org /10 .1073 /pnas .1519118112

Bystrykh, L.V., et al. 2012. Nat. Methods. https ://doi .org /10 .1038 /nmeth .2043 Bystrykh, L.V., and M.E. Belderbos. 2016.

Methods Mol. Biol. https ://doi .org /10 .1007 /7651 _2016 _343

Cheung, A.M.S., et al. 2013. Blood. https ://doi .org /10 .1182 /blood -2013 -06 -508432

Eirew, P., et al. 2015. Nature. https ://doi .org /10 .1038 /nature13952

Elder, A., et al. 2017. Leukemia. https ://doi .org /10 .1038 /leu .2017 .140

Gerrits, A., et al. 2010. Blood. https ://doi .org /10 .1182 /blood -2009 -06 -229757 Lan, X., et al. 2017. Nature. https ://doi .org /10

.1038 /nature23666

Morrison, S.J., and D.T. Scadden. 2014. Nature. https ://doi .org /10 .1038 /nature12984 Naik, S.H., et al. 2013. Nature. https ://doi .org

/10 .1038 /nature12013

Steensma, D.P., et al. 2015. Blood. https ://doi .org /10 .1182 /blood -2015 -03 -631747 Turajlic, S., and C. Swanton. 2016. Science. https

://doi .org /10 .1126 /science .aaf2784 Verovskaya, E., et al. 2014. J. Exp. Med. https ://

doi .org /10 .1084 /jem .20131804

Wu, C., et al. 2018. J. Exp. Med. https ://doi .org /10 .1084 /jem .20171341

on December 19, 2017

jem.rupress.org

Referenties

GERELATEERDE DOCUMENTEN

The most important niche cells are osteolineage cells, mesenchymal stem cells and endothelial cells, which can regulate HSCs via secreted factors or via direct interactions

The fWHR scores of female populist politicians in the European Parliament does not seem the change the lower dominant results that are found for populists in general.. The results

Similar for model 3.6 and 4.6, the regression coefficients for the economic conjuncture effect are 0.31% and 0.24%, where the difference represents an increase in the absolute

In this file, we provide an example of an edition with right-to-left text and left-to-right notes, using X E L A TEX.. • The ‘hebrew’ environment allows us to write

Om in dat hectische krachtenveld overeind te blijven, laat staan een betekenisvolle rol te vervullen dient de professional te beschikken over, en kunnen vertrouwen, op een

2005 ging deze organisatie naar een congres over soortgelijke gebiedsprocessen. Dit congres werd als verbroederend, interessant en de ideeën werden als haalbaar opgevat. Als

[r]

In economics, discount rates are often used when modelling such preferences at different points in time (i.e. time preferences). These discount rates will be applied to outcomes,