Hematopoietic Stem Cells Count and Remember Self-Renewal Divisions.

The ability of cells to count and remember their divisions could underlie many alterations that occur during development, aging, and disease. We tracked the cumulative divisional history of slow-cycling hematopoietic stem cells (HSCs) throughout adult life. This revealed a fraction of rarely dividing HSCs that contained all the long-term HSC (LT-HSC) activity within the aging HSC compartment. During adult life, this population asynchronously completes four traceable symmetric self-renewal divisions to expand its size before entering a state of dormancy. We show that the mechanism of expansion involves progressively lengthening periods between cell divisions, with long-term regenerative potential lost upon a fifth division. Our data also show that age-related phenotypic changes within the HSC compartment are divisional history dependent. These results suggest that HSCs accumulate discrete memory stages over their divisional history and provide evidence for the role of cellular memory in HSC aging.

Stem cell heterogeneity: implications for aging and regenerative medicine.

For decades, hematopoietic stem cells (HSCs) were thought to be a homogeneous population of cells with flexible behavior. Now a new picture has emerged: The HSC compartment consists of several subpopulations of HSCs each with distinct, preprogrammed differentiation and proliferation behaviors. These programs are epigenetically fixed and are stably bequeathed to all daughter HSCs on self-renewal. HSCs within each subset are remarkably similar in their self- renewal and differentiation behaviors, to the point where their life span can be predicted with mathematical certainty. Three subsets can be distinguished when HSCs are classified by their differentiation capacity: myeloid-biased, balanced, and lymphoid-biased HSCs. The relative number of the HSC subsets is developmentally regulated. Lymphoid-biased HSCs are found predominantly early in the life of an organism, whereas myeloid-biased HSCs accumulate in aged mice and humans. Thus, the discovery of distinct subpopulations of HSCs has led to a new understanding of HCS aging. This finding has implications for other aspects of HSC biology and applications in re-generative medicine. The possibility that other adult tissue stem cells show similar heterogeneity and mechanisms of aging is discussed.

Lifespan differences in hematopoietic stem cells are due to imperfect repair and unstable mean-reversion.

The life-long supply of blood cells depends on the long-term function of hematopoietic stem cells (HSCs). HSCs are functionally defined by their multi-potency and self-renewal capacity. Because of their self-renewal capacity, HSCs were thought to have indefinite lifespans. However, there is increasing evidence that genetically identical HSCs differ in lifespan and that the lifespan of a HSC is predetermined and HSC-intrinsic. Lifespan is here defined as the time a HSC gives rise to all mature blood cells. This raises the intriguing question: what controls the lifespan of HSCs within the same animal, exposed to the same environment? We present here a new model based on reliability theory to account for the diversity of lifespans of HSCs. Using clonal repopulation experiments and computational-mathematical modeling, we tested how small-scale, molecular level, failures are dissipated at the HSC population level. We found that the best fit of the experimental data is provided by a model, where the repopulation failure kinetics of each HSC are largely anti-persistent, or mean-reverting, processes. Thus, failure rates repeatedly increase during population-wide division events and are counteracted and decreased by repair processes. In the long-run, a crossover from anti-persistent to persistent behavior occurs. The cross-over is due to a slow increase in the mean failure rate of self-renewal and leads to rapid clonal extinction. This suggests that the repair capacity of HSCs is self-limiting. Furthermore, we show that the lifespan of each HSC depends on the amplitudes and frequencies of fluctuations in the failure rate kinetics. Shorter and longer lived HSCs differ significantly in their pre-programmed ability to dissipate perturbations. A likely interpretation of these findings is that the lifespan of HSCs is determined by preprogrammed differences in repair capacity.

Predicting clonal self-renewal and extinction of hematopoietic stem cells.

A single hematopoietic stem cell (HSC) can generate a clone, consisting of daughter HSCs and differentiated progeny, which can sustain the hematopoietic system of multiple hosts for a long time. At the same time, this massive expansion potential must be restrained to prevent abnormal, leukemic proliferation. We used an interdisciplinary approach, combining transplantation assays with mathematical and computational methods, to systematically analyze the proliferative potential of individual HSCs. We show that all HSC clones examined have an intrinsically limited life span. Daughter HSCs within a clone behaved synchronously in transplantation assays and eventually exhausted at the same time. These results indicate that each HSC is programmed to have a finite life span. This program and the memory of the life span of the mother HSC are inherited by all daughter HSCs. In contrast, there was extensive heterogeneity in life spans between individual HSC clones, ranging from 10 to almost 60 mo. We used model-based machine learning to develop a mathematical model that efficiently predicts the life spans of individual HSC clones on the basis of a few initial measurements of donor type cells in blood. Computer simulations predict that the probability of self-renewal decays with a logistic kinetic over the life span of a normal HSC clone. Other decay functions lead to either graft failure or leukemic proliferation. We propose that dynamical fate probabilities are a crucial condition that leads to self-limiting clonal proliferation.

A new mechanism for the aging of hematopoietic stem cells: aging changes the clonal composition of the stem cell compartment but not individual stem cells.

Whether hematopoietic stem cells (HSCs) change with aging has been controversial. Previously, we showed that the HSC compartment in young mice consists of distinct subsets, each with predetermined self-renewal and differentiation behavior. Three classes of HSCs can be distinguished based on their differentiation programs: lymphoid biased, balanced, and myeloid biased. We now show that aging causes a marked shift in the representation of these HSC subsets. A clonal analysis of repopulating HSCs demonstrates that lymphoid-biased HSCs are lost and long-lived myeloid-biased HSCs accumulate in the aged. Myeloid-biased HSCs from young and aged sources behave similarly in all aspects tested. This indicates that aging does not change individual HSCs. Rather, aging changes the clonal composition of the HSC compartment. We show further that genetic factors contribute to the age-related changes of the HSC subsets. In comparison with B6 mice, aged D2 mice show a more pronounced shift toward myeloid-biased HSCs with a corresponding reduction in the number of both T- and B-cell precursors. This suggests that low levels of lymphocytes in the blood can be a marker for HSC aging. The loss of lymphoid-biased HSCs may contribute to the impaired immune response to infectious diseases and cancers in the aged.

Characterization and quantification of clonal heterogeneity among hematopoietic stem cells: a model-based approach.

Hematopoietic stem cells (HSCs) show pronounced heterogeneity in self-renewal and differentiation behavior, which is reflected in their repopulation kinetics. Here, a single-cell-based mathematical model of HSC organization is used to examine the basis of HSC heterogeneity. Our modeling results, which are based on the analysis of limiting dilution competitive repopulation experiments in mice, demonstrate that small quantitative but clonally fixed differences of cellular properties are necessary and sufficient to account for the observed functional heterogeneity. The model predicts, and experimental data validate, that competitive pressures will amplify small clonal differences into large changes in the number of differentiated progeny. We further predict that the repertoire of HSC clones will evolve over time. Last, our results suggest that larger differences in cellular properties have to be assumed to account for genetically determined differences in HSC behavior as observed in different inbred mice strains. The model provides comprehensive systemic and quantitative insights into the clonal heterogeneity among HSCs with potential applications in predicting the behavior of malignant and/or genetically modified cells.

Limiting dilution analysis for estimating the frequency of hematopoietic stem cells: uncertainty and significance.

The ability to predict accurately the number of hematopoietic stem cells (HSCs) in a graft is important for the success of HSC transplantation. Limiting dilution analysis (LDA) in vitro and in vivo is widely used to enumerate HSCs. However, there have been few attempts to standardize this approach. Particularly, the role of statistical and experimental errors in the performance and evaluation of LDA has received little attention. Since these errors directly affect the interpretation, validity, and significance of the LDA results, we have here performed a systematic analysis of the contribution of different types of errors.Long-term culture-initiating cells (LTC-IC) in the bone marrow of C57BL/6 (B6) mice were measured. Experiments were designed to exclude systematically different types of experimental errors. Computer simulations were performed to estimate the statistical error. Analysis of 137 LTC-IC assays showed 2.8 +/- 1.06 LTC-IC per 10(5) cells in the bone marrow of B6 mice. The major components of the uncertainty were derived from variations introduced by performing the experiments at different time points and by the statistical error. Surprisingly, operator errors and mouse-to-mouse error, including age and sex of the animals, contributed little to the overall uncertainty. As expected, the errors were found to decrease when increasing numbers of replica were analyzed. A computer program was developed to assist with the optimal design of the assay. The analysis presented here provides rational strategies for standardizing the experimental design and for gauging the accuracy of LDA-based HSC measurements.

Development and validation of a method for profiling post-translational modification activities using protein microarrays.

BACKGROUND: Post-translational modifications (PTMs) impact on the stability, cellular location, and function of a protein thereby achieving a greater functional diversity of the proteome. To fully appreciate how PTMs modulate signaling networks, proteome-wide studies are necessary. However, the evaluation of PTMs on a proteome-wide scale has proven to be technically difficult. To facilitate these analyses we have developed a protein microarray-based assay that is capable of profiling PTM activities in complex biological mixtures such as whole-cell extracts and pathological specimens. METHODOLOGY/PRINCIPAL FINDINGS: In our assay, protein microarrays serve as a substrate platform for in vitro enzymatic reactions in which a recombinant ligase, or extracts prepared from whole cells or a pathological specimen is overlaid. The reactions include labeled modifiers (e.g., ubiquitin, SUMO1, or NEDD8), ATP regenerating system, and other required components (depending on the assay) that support the conjugation of the modifier. In this report, we apply this methodology to profile three molecularly complex PTMs (ubiquitylation, SUMOylation, and NEDDylation) using purified ligase enzymes and extracts prepared from cultured cell lines and pathological specimens. We further validate this approach by confirming the in vivo modification of several novel PTM substrates identified by our assay. CONCLUSIONS/SIGNIFICANCE: This methodology offers several advantages over currently used PTM detection methods including ease of use, rapidity, scale, and sample source diversity. Furthermore, by allowing for the intrinsic enzymatic activities of cell populations or pathological states to be directly compared, this methodology could have widespread applications for the study of PTMs in human diseases and has the potential to be directly applied to most, if not all, basic PTM research.

Stem cell aging: survival of the laziest?

The question whether stem cells age remains an enigma. Traditionally, aging was thought to change the properties of hematopoietic stem cells (HSC). We discuss here a new model of stem cell aging that challenges this view. It is now well-established that the HSC compartment is heterogeneous, consisting of epigenetically fixed subpopulations of HSC that differ in self-renewal and differentiation capacity. New data show that the representation of these HSC subsets changes during aging. HSC that generate lymphocyte-rich progeny are depleted, while myeloid-biased HSC are enriched in the aged HSC compartment. Myeloid-biased HSC, even when isolated from young donors, have most of the characteristics that had been attributed to aged HSC. Thus, the distinct behavior of the HSC isolated from aged hosts is due to the accumulation of myeloid-biased HSC. By extension this means that the properties of individual HSC are not substantially changed during the lifespan of the organism and that aged hosts do not contain many aged HSC. Myeloid-biased HSC give rise to mature cells slowly but contribute for a long time to peripheral hematopoiesis. We propose that such slow, "lazy" HSC are less likely to be transformed and therefore may safely sustain hematopoiesis for a long time.

Clonal diversity of the stem cell compartment.

PURPOSE OF REVIEW: Hematopoietic stem cells are functionally heterogeneous even when isolated as phenotypically homogenous populations. How this heterogeneity is generated is incompletely understood. Several models have been formulated to explain the generation of diversity. All of these assume the existence of a single type of hematopoietic stem cell that generates heterogeneous daughter stem cells in response to extrinsic or intrinsic (stochastic) signals. This view has encouraged the idea that stem cells can be instructed to adapt their function. Newer data, however, challenge this concept. Here, we summarize these findings and discuss their implication for applications of stem cells. RECENT FINDINGS: Hematopoietic stem cells that differ in function have been documented during development and within the adult stem cell compartment. The differences in function are stably inherited to daughter stem cells when these cells proliferate to self-renew. Collectively, the data show that the adult stem cell compartment consists of a limited number of distinct classes of stem cells. SUMMARY: The most important stem cell functions, including self-renewal and differentiation capacity, are preprogrammed through epigenetic or genetic mechanisms. Thus, stem cells are much more predictable than previously thought. Changes in the stem cell compartment through disease or aging can be interpreted as shifts in its clonal composition, rather than a modification of individual hematopoietic stem cells.

The hematopoietic stem compartment consists of a limited number of discrete stem cell subsets.

Hematopoietic stem cells (HSCs) display extensive heterogeneity in their behavior even when isolated as phenotypically homogeneous populations. It is not clear whether this heterogeneity reflects inherently diverse subsets of HSCs or a homogeneous population of HSCs diversified by their response to different external stimuli. To address this, we analyzed 97 individual HSCs in long-term transplantation assays. HSC clones were obtained from unseparated bone marrow (BM) through limiting dilution approaches. Following transplantation into individual hosts, donor-type cells in blood were measured bimonthly and the resulting repopulation kinetics were grouped according to overall shape. Only 16 types of repopulation kinetics were found among the HSC clones even though combinatorially 54 groups were possible. All HSC clones, regardless of their origin, could be assigned to this subset of groups, and the probability of finding new patterns is negligible. Thus, the full repertoire of repopulating HSCs was covered. These data indicate that the HSC compartment consists of a limited number of distinct HSC subsets, each with predictable behavior. Enrichment of HSCs (Lin- Rho- SP) changes the representation of HSC types by selecting for distinct subsets of HSCs. These data from the steady-state HSC repertoire could provide a basis for the diagnosis of perturbed patterns of HSCs potentially caused by disease or aging.

Classification of short kinetics by shape.

Discerning significant relationships in small data sets remains challenging. We introduce here the Hamming distance matrix and show that it is a quantitative classifier of similarities among short time-series. Its elements are derived by computing a modified form of the Hamming distance of pairs of symbol sequences obtained from the original data sets. The values from the Hamming distance matrix are then amenable to statistical analysis. Examples from stem cell research are presented to illustrate different aspects of the method. The approach is likely to have applications in many fields.

Deterministic regulation of hematopoietic stem cell self-renewal and differentiation.

Most current theories assume that self-renewal and differentiation of hematolymphoid stem cells (HSCs) is randomly regulated by intrinsic and environmental influences. A direct corollary of these tenets is that self-renewal will continuously generate functionally heterogeneous daughter HSCs. Decisions about self-renewal versus commitment are made by individual, single HSCs and, thus, require examination on the clonal level. We followed the behavior of individual, clonally derived HSCs through long-term, serial repopulation experiments. These studies showed that daughter HSCs derived from individual clones were remarkably similar to each other in the extent and kinetics of repopulation. Moreover, daughter HSCs within a clone showed equivalent contributions to the myeloid or lymphoid lineages. Lineage contribution could be followed because of the discovery of a new subset of HSCs that gave rise stably to skewed ratios of myeloid and lymphoid cells. Overall, the data argue that self-renewal does not contribute to the heterogeneity of the adult HSC compartment. Rather, all HSCs in a clone follow a predetermined fate, consistent with the generation-age hypothesis. By extension, this suggests that the self-renewal and differentiation behavior of HSCs in adult bone marrow is more predetermined than previously thought.

Myeloid-biased hematopoietic stem cells have extensive self-renewal capacity but generate diminished lymphoid progeny with impaired IL-7 responsiveness.

The adult hematopoietic stem cell (HSC) compartment contains a substantial population of lineage-biased (Lin-bi) HSCs. Lin-bi HSCs generate cells of all hematopoietic lineages, albeit with skewed ratios of lymphoid to myeloid cells. The biased ratios are stable through serial transplantation, demonstrating that lineage bias is an inherent function of the HSCs. To define the mechanisms that cause lineage bias, the developmental potential of myeloid-biased (My-bi) HSCs was characterized. In serial transplantation experiments, My-bi HSCs contributed significantly longer to repopulation than other types of HSCs. The long lifespan indicates that My-bi HSCs are important for the persistence of HSC function throughout life. My-bi HSCs produce normal levels of myeloid precursors but reduced levels of precursors for the T- and B- lymphocyte lineages. Gene array analysis suggested that the lymphoid progeny of My-bi HSCs express lowered levels of interleukin-7 (IL-7) receptor. Indeed, the progeny derived from My-bi HSCs failed to respond to IL-7 in vitro. Thus, My-bi HSCs are programmed for diminished lymphopoiesis through a mechanism that involves a blunted response of its progeny to the central lymphokine IL-7. The data demonstrate that epigenetic regulation on the level of the HSCs can directly affect the number, composition, and function of the mature progeny.