Single-Cell Phylogenetic analysis provides Novel Insight Into Resistance Mechanisms In AML

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 178-178
Author(s):  
Liran I Shlush ◽  
Noa Chapal ◽  
Rivka Adar ◽  
Shai Izraeli ◽  
Jacob M. Rowe ◽  
...  

Abstract Abstract 178 Introduction: Leukemic cells are heterogeneous in many ways, and specifically in replication rates. Dormancy and quiescence particularly among leukemia stem cells (LSCs) have been suggested to play a pivotal role in leukemia resistance to chemotherapy. This has been suggested in chronic leukemia, but never proven in acute leukemia, where most cancer cells divide frequently, and it is not known which subpopulation causes relapse. Cell lineage analysis of single leukemia cells can describe the variable kinetics of leukemia subpopulations by studying the evolutionary genetic changes between diagnosis and relapse in the same patient, and hence potentially pinpoint the relapse population already at diagnosis. In the current study a novel methodology was used in order to describe the evolutionary history of single leukemia cells. The reconstruction of phylogenetic trees from single cells can shed light of the relative number of replications of each cell (depth), and the diversity and heterogeneity of the tumor. Method: Phylogenetic analysis was applied to single cells from peripheral blood of two acute myeloid leukemia (AML) patients (n≂F40 cells from each patient), sampled at diagnosis and relapse. Leukemia and T cells were separated by FACS. T cells, which were not part of the malignant AML clone served for the validation of sorting. Single cells underwent whole genome amplification followed by PCR reactions amplifying 120 microsatellite (MS) loci, using a high throughput robotic and computer aided systems. As MSs accumulate genetic variation during replication, the phylogenetic tree of the malignancies can be reconstructed from the genetic changes in MSs between the cells and the application of a neighbor joining algorithm. The relative depth of cells was calculated from the genetic distance of each cell from the root of the tree, which was designated as the median value of all cells for a specific MS. Result: In the reconstructed cell lineage trees of both AML patients (L1 n=41 leukemia cells; L2 n=43 leukemia cells), cells at relapse were shallow compared to cells at diagnosis, implying that they originate from cells that divided rarely prior to relapse (p<10e-5, p<0.0001, L1 and L2 respectively) (Figure 1). Furthermore for patient L2 single LSCs, LIN- CD34+ CD38- CD90+ from diagnosis, were analyzed (n=21 LSCs), and were found to be shallower than the general population of leukemia cells at diagnosis (p=0.01), but deeper than leukemia cells at relapse (p=0.036) (Figure 1). T cells in both AML patients were clustered on a different branch of the lineage tree (L1 n=32, p<10-6; L2 n=29, p=7.4*10-6). Conclusion: A novel single cell phylogenetic approach applied to AML cells uncovered the role of dormancy and LSCs in AML relapse. As chemotherapy preferentially targets rapidly-dividing cells, dormant cells are positively selected to resist chemotherapy at least in some AML patients. In such cases, in order to prevent relapse, leukemia therapy must also target such rarely-dividing leukemia cells. We have further demonstrated that LSCs are genetically correlated to the rarely dividing cells at relapse. The ability of cell lineage analysis to identify rarely dividing cells and correlate them to LSCs and possibly to normal stem cells already at diagnosis may enable their characterization and hence the design of improved targeted and personalized therapy for leukemia and other types of cancer with similar relapse mechanisms. Furthermore, this evolutionary-based approach can also shed more light on the diversity of leukemia in a time scale and uncover other chemotherapy resistance mechanisms. Phylogenetic trees of leukemia single cells at diagnosis and relapse from 2 AML patients. a, L1: Left – reconstructed lineage tree of CD33+ CD4+ CD15- peripheral blood (PB) individual leukemia cells at diagnosis (full, n=14); and relapse (blank, n=27) for patient L1; The root was determined by calculation of the median signal of all cells. Right - comparison of median depth between cells at diagnosis (full) and relapse (blank), (p<10^-5). b, L2: Left – reconstructed lineage tree of CD117+ PB individual leukemia blast cells at diagnosis (full, n=33), LSCs LIN-CD34+ CD38- CD90+ (gray, n=21) and relapse(blank, n=10) for patient L2. Right - Comparison of median depth between cells at diagnosis (full) and relapse (blank), (p=0.0001). Y axis represents depth in arbitrary units (logarithmic scale). Disclosures: No relevant conflicts of interest to declare.

Development ◽  
1994 ◽  
Vol 120 (7) ◽  
pp. 1895-1906 ◽  
Author(s):  
T. Bossing ◽  
G.M. Technau

We present a new method for marking single cells and tracing their development through embryogenesis. Cells are labelled with a lipophilic fluorescent tracer (DiI) in their normal positions without impaling their membranes. The dye does not diffuse between cells but is transferred to the progeny, disclosing their morphology in all detail. Behaviour of labelled cells can be observed in vivo (cell divisions, morphogenetic movements and differentiation). Following photoconversion of the dye, fully differentiated clones can be analyzed in permanent preparations. We apply this method for cell lineage analysis of the embryonic Drosophila CNS. Here we describe the fate of the CNS midline cells. We present the complete lineages of these cells in the fully differentiated embryo and show that variability exists in segmental numbers of the midline progenitors as well as in the composition of their lineages.


Genome ◽  
1989 ◽  
Vol 31 (2) ◽  
pp. 625-637 ◽  
Author(s):  
Jonathan Hodgkin ◽  
Andrew D. Chisholm ◽  
Michael M. Shen

Sex determination in Caenorhabditis elegans involves a cascade of major regulatory genes connecting the primary sex determining signal, X chromosome dosage, to key switch genes, which in turn direct development along either male or female pathways. Animals with one X chromosome (XO) are male, while animals with two X chromosomes (XX) are hermaphrodite: hermaphrodite development occurs because the action of the regulatory genes is modified in the germ line so that both sperm and oocytes are made inside a completely female soma. The regulatory genes are being examined by both genetic and molecular means. We discuss how these major genes, in particular the last switch gene in the cascade, tra-1, might regulate the many different sex-specific events that occur during the development of the hermaphrodite and of the male.Key words: nematode, Caenorhabditis elegans, sex determination, sexual differentiation, cell lineage analysis.


The homeotic genes specify the development of specific groups of precursor cells. They establish the correct state of determination of the different primordia. Cell lineage analysis has been particularly useful in studying the mode of action of homeotic genes. The main findings are: (i) most, perhaps all, the homeotic genes are required by every cell of the corresponding primordium (that is, they are cell autonomous); (ii) they act on anatomical units defined by compartment boundaries and including one or more compartments, (iii) most, but not all, homeotic genes are required until the end of the larval period; (iv) the homeotic genes act in combination so that the appropriate development of a given primordium may be established by the contribution of several homeotic genes.


1993 ◽  
Vol 24 (2) ◽  
pp. 146-161 ◽  
Author(s):  
Nicole M. Le Douarin ◽  
Elisabeth Dupin

Development ◽  
1991 ◽  
Vol 113 (Supplement_1) ◽  
pp. 39-46 ◽  
Author(s):  
Liam Dolan ◽  
R. Scott Poethig

Leaf shape in cotton is regulated by the developmental age of the shoot and by several major genes that affect leaf lobing. The effect of these factors was investigated by allometric analysis, cell lineage analysis, and by studying the expression of the leaf shape mutation, Okra, in genetic mosaics. Allometric analysis of leaf growth suggests that leaf shape is determined during the initiation of the primordium rather than during the expansion phase of leaf growth. Clonal analysis demonstrates that both the rate and duration of cell division are fairly uniform throughout the leaf. Cells in the marginal region of the developing cotton leaf contribute more to the growth of the lamina than they do in tobacco. The Okra mutation acts early in the development of a leaf and appears to accentuate a developmental pattern that is also responsible for heteroblastic variation in leaf shape. The expression of this mutation in genetic mosaics demonstrates that its effect does not diffuse laterally within the leaf primordium.


Blood ◽  
2011 ◽  
Vol 118 (22) ◽  
pp. 5965-5976 ◽  
Author(s):  
Ning Li ◽  
Catherine Matte-Martone ◽  
Hong Zheng ◽  
Weiguo Cui ◽  
Srividhya Venkatesan ◽  
...  

AbstractDonor T cells contribute to the success of allogeneic hematopoietic stem cell transplantation (alloSCT). Alloreactive donor T cells attack leukemia cells, mediating the GVL effect. Donor T cells, including the memory T cells (TM) that are generated after infection, also promote immune reconstitution. Nonetheless, leukemia relapse and infection are major sources of treatment failure. Efforts to augment GVL and immune reconstitution have been limited by GVHD, the attack by donor T cells on host tissues. One approach to augmenting GVL has been to infuse ex vivo–generated T cells with defined specificities; however, this requires expertise that is not widely available. In the present study, we tested an alternative approach, adoptive immunotherapy with CD8+ TM from donors vaccinated against a single minor histocompatibility antigen (miHA) expressed by leukemia cells. Vaccination against the miHA H60 greatly augmented TM-mediated GVL against mouse chronic-phase (CP-CML) and blast crisis chronic myeloid leukemia (BC-CML). TM-mediated GVL was antigen specific and was optimal when H60 expression was hematopoietically restricted. Even when H60 was ubiquitous, donor H60 vaccination had a minimal impact on GVHD. TM from lymphocytic choriomeningitis virus (LCMV)–immune and H60-vaccinated donors augmented GVL and protected recipients from LCMV. These data establish a strategy for augmenting GVL and immune reconstitution without elaborate T-cell manipulation.


1984 ◽  
Vol 105 (1) ◽  
pp. 221-226 ◽  
Author(s):  
Katsuhiko Mikoshiba ◽  
Minesuke Yokoyama ◽  
Ken Takamatsu ◽  
Yasuzo Tsukada ◽  
Tatsuji Nomura

Blood ◽  
1995 ◽  
Vol 86 (5) ◽  
pp. 1850-1860 ◽  
Author(s):  
TA Moore ◽  
A Zlotnik

The earliest steps of intrathymic differentiation recently have been elucidated. It has been reported that both CD4lo (CD44+ CD25- c-kit+ CD3- CD4lo CD8-) and pro-T cells (CD44+ CD25+ c-kit+ CD3- CD4- CD8-, representing the next step in maturation) exhibit germline T-cell receptor beta and gamma loci, suggesting that neither population is exclusively committed to the T-cell lineage. Several groups have shown that CD4lo cells retain the capacity to generate multiple lymphoid lineages in vivo; however, the lineage commitment status of pro-T cells is unknown. To determine when T-cell lineage commitment occurs, we examined the ability of sorted CD4lo and pro-T cells to generate lymphoid lineage cells in vivo or in fetal thymic organ cultures (FTOCs). When intravenously injected into scid mice, CD4lo cells generated both T and B cells, whereas the progeny of pro-T cells contained T cells exclusively. Fetal thymic organ cultures repopulated with CD4lo cells contained both T and natural killer (NK) cells, whereas cultures repopulated with pro-T cells contained T cells almost exclusively. These observations strongly suggest that T-cell lineage commitment occurs during the transition of CD4lo to pro-T cells. Because it is likely that the thymic microenvironment plays a critical role in T-cell commitment, we compared the responses of CD4lo and pro-T cells to various cytokine combinations in vitro, as well as the ability of the cultured cells to repopulate organ cultures. Cytokine combinations that maintained T-cell repopulation potential for both CD4lo and pro-T cells were found. CD4lo cells proliferated best in response to the combination containing interleukin-1 (IL-1), IL-3, IL- 6, IL-7, and stem cell factor (SCF). Unlike CD4lo cells, pro-T cells were much more dependent upon IL-7 for proliferation and FTOC repopulation. However, combinations of cytokines lacking IL-7 were found that maintained the T-cell repopulating potential of pro-T cells, suggesting that, whereas this cytokine is clearly very important for normal pro-T cell function, it is not an absolute necessity during early T-cell expansion and differentiation.


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