AA2P-mediated DNA demethylation synergizes with stem cell agonists to promote expansion of hematopoietic stem cells.

Small molecules have enabled expansion of hematopoietic stem and progenitor cells (HSPCs), but limited knowledge is available on whether these agonists can act synergistically. In this work, we identify a stem cell agonist in AA2P and optimize a series of stem cell agonist cocktails (SCACs) to help promote robust expansion of human HSPCs. We find that SCACs provide strong growth-promoting activities while promoting retention and function of immature HSPC. We show that AA2P-mediated HSPC expansion is driven through DNA demethylation leading to enhanced expression of AXL and GAS6. Further, we demonstrate that GAS6 enhances the serial engraftment activity of HSPCs and show that the GAS6/AXL pathway is critical for robust HSPC expansion.

Putative critical quality attribute matrix identifies mesenchymal stromal cells with potent immunomodulatory and angiogenic "fitness" ranges in response to culture process parameters.

Adipose-derived mesenchymal stromal cells (MSC(AT)) display immunomodulatory and angiogenic properties, but an improved understanding of quantitative critical quality attributes (CQAs) that inform basal MSC(AT) fitness ranges for immunomodulatory and/or angiogenic applications is urgently needed for effective clinical translation. We constructed an in vitro matrix of multivariate readouts to identify putative CQAs that were sensitive enough to discriminate between specific critical processing parameters (CPPs) chosen for their ability to enhance MSC immunomodulatory and angiogenic potencies, with consideration for donor heterogeneity. We compared 3D aggregate culture conditions (3D normoxic, 3D-N) and 2D hypoxic (2D-H) culture as non-genetic CPP conditions that augment immunomodulatory and angiogenic fitness of MSC(AT). We measured multivariate panels of curated genes, soluble factors, and morphometric features for MSC(AT) cultured under varying CPP and licensing conditions, and we benchmarked these against two functional and therapeutically relevant anchor assays - in vitro monocyte/macrophage (MΦ) polarization and in vitro angiogenesis. Our results showed that varying CPP conditions was the primary driver of MSC(AT) immunomodulatory fitness; 3D-N conditions induced greater MSC(AT)-mediated MΦ polarization toward inflammation-resolving subtypes. In contrast, donor heterogeneity was the primary driver of MSC(AT) angiogenic fitness. Our analysis further revealed panels of putative CQAs with minimum and maximum values that consisted of twenty MSC(AT) characteristics that informed immunomodulatory fitness ranges, and ten MSC(AT) characteristics that informed angiogenic fitness ranges. Interestingly, many of the putative CQAs consisted of angiogenic genes or soluble factors that were inversely correlated with immunomodulatory functions (THBS1, CCN2, EDN1, PDGFA, VEGFA, EDIL3, ANGPT1, and ANG genes), and positively correlated to angiogenic functions (VEGF protein), respectively. We applied desirability analysis to empirically rank the putative CQAs for MSC(AT) under varying CPP conditions and donors to numerically identify the desirable CPP conditions or donors with maximal MSC(AT) immunomodulatory and/or angiogenic fitness. Taken together, our approach enabled combinatorial analysis of the matrix of multivariate readouts to provide putative quantitative CQAs that were sensitive to variations in select CPPs that enhance MSC immunomodulatory/angiogenic potency, and donor heterogeneity. These putative CQAs may be used to prospectively screen potent MSC(AT) donors or cell culture conditions to optimize for desired basal MSC(AT) immunomodulatory or angiogenic fitness.

Combinatorial extracellular matrix microarray identifies novel bioengineered substrates for xeno-free culture of human pluripotent stem cells.

Stem cells in their microenvironment are exposed to a plethora of biochemical signals and biophysical forces. Interrogating the role of each factor in the cell microenvironment, however, remains difficult due to the inability to study microenvironmental cues and tease apart their interactions in high throughput. To address this need, we developed an extracellular matrix (ECM) microarray screening platform capable of tightly controlling substrate stiffness and ECM protein composition to screen the effects of these cues and their interactions on cell fate. We combined this platform with a design of experiments screening strategy to identify optimal conditions that can maintain human pluripotent stem cell (hPSC) pluripotency in chemically defined, xeno-free conditions. Combinations of ECM proteins (fibronectin, vitronectin, laminin-521, and collagen IV) were deposited on polydimethylsiloxane substrates with elastic moduli ranging from ~1 to 60 kPa using a high throughput protein plotter. Through our screening approach, we identified several non-intuitive protein-protein and protein-stiffness interactions and developed three novel culture substrates. hPSCs grown on these novel culture substrates displayed higher proliferation rates and pluripotency marker expression than current gold-standard culture substrates Geltrex- and vitronectin-coated plastic. This ECM microarray and screening approach is not limited to the factors studied here and can be broadly applied to other cell types to systematically screen microenvironmental conditions to optimally guide cell phenotype.

Supervised Learning and Mass Spectrometry Predicts the in Vivo Fate of Nanomaterials.

The surface of nanoparticles changes immediately after intravenous injection because blood proteins adsorb on the surface. How this interface changes during circulation and its impact on nanoparticle distribution within the body is not understood. Here, we developed a workflow to show that the evolution of proteins on nanoparticle surfaces predicts the biological fate of nanoparticles in vivo. This workflow involves extracting nanoparticles at multiple time points from circulation, isolating the proteins off the surface and performing proteomic mass spectrometry. The mass spectrometry protein library served as inputs, while blood clearance and organ accumulation were used as outputs to train a supervised deep neural network that predicts nanoparticle biological fate. In a double-blinded study, we tested the network by predicting nanoparticle spleen and liver accumulation with upward of 94% accuracy. Our neural network discovered that the mechanism of liver and spleen uptake is due to patterns of a multitude of nanoparticle surface adsorbed proteins. There are too many combinations to change these proteins manually using chemical or biological inhibitors to alter clearance. Therefore, we developed a technique that uses the host to act as a bioreactor to prepare nanoparticles with predictable clearance patterns that reduce liver and spleen uptake by 50% and 70%, respectively. These techniques provide opportunities to both predict nanoparticle behavior and also to engineer surface chemistries that are specifically designed by the body.

Establishment of an erythroid progenitor cell line capable of enucleation achieved with an inducible c-Myc vector.

BACKGROUND: A robust scalable method for producing enucleated red blood cells (RBCs) is not only a process to produce packed RBC units for transfusion but a potential platform to produce modified RBCs with applications in advanced cellular therapy. Current strategies for producing RBCs have shortcomings in the limited self-renewal capacity of progenitor cells, or difficulties in effectively enucleating erythroid cell lines. We explored a new method to produce RBCs by inducibly expressing c-Myc in primary erythroid progenitor cells and evaluated the proliferative and maturation potential of these modified cells. RESULTS: Primary erythroid progenitor cells were genetically modified with an inducible gene transfer vector expressing a single transcription factor, c-Myc, and all the gene elements required to achieve dox-inducible expression. Genetically modified cells had enhanced proliferative potential compared to control cells, resulting in exponential growth for at least 6 weeks. Inducibly proliferating erythroid (IPE) cells were isolated with surface receptors similar to colony forming unit-erythroid (CFU-Es), and after removal of ectopic c-Myc expression cells hemoglobinized, decreased in cell size to that of native RBCs, and enucleated achieving cultures with 17% enucleated cells. Experiments with IPE cells at various levels of ectopic c-Myc expression provided insight into differentiation dynamics of the modified cells, and an optimized two-stage differentiation strategy was shown to promote greater expansion and maturation. CONCLUSIONS: Genetic engineering of adult erythroid progenitor cells with an inducible c-Myc vector established an erythroid progenitor cell line that could produce RBCs, demonstrating the potential of this approach to produce large quantities of RBCs and modified RBC products.

On-demand serum-free media formulations for human hematopoietic cell expansion using a high dimensional search algorithm.

Substitution of serum and other clinically incompatible reagents is requisite for controlling product quality in a therapeutic cell manufacturing process. However, substitution with chemically defined compounds creates a complex, large-scale optimization problem due to the large number of possible factors and dose levels, making conventional process optimization methods ineffective. We present a framework for high-dimensional optimization of serum-free formulations for the expansion of human hematopoietic cells. Our model-free approach utilizes evolutionary computing principles to drive an experiment-based feedback control platform. We validate this method by optimizing serum-free formulations for first, TF-1 cells and second, primary T-cells. For each cell type, we successfully identify a set of serum-free formulations that support cell expansions similar to the serum-containing conditions commonly used to culture these cells, by experimentally testing less than 1 × 10-5 % of the total search space. We also demonstrate how this iterative search process can provide insights into factor interactions that contribute to supporting cell expansion.

Synthesis of Patient-Specific Nanomaterials.

Nanoparticles are engineered from materials such as metals, polymers, and different carbon allotropes that do not exist within the body. Exposure to these exogenous compounds raises concerns surrounding toxicity, inflammation, and immune activation. These responses could potentially be mitigated by synthesizing nanoparticles directly from molecules derived from the host. However, efforts to assemble patient-derived macromolecules into structures with the same degree of size and shape tunability as their exogenous counterparts remains a significant challenge. Here we solve this problem by creating a new class of size- and shape-tunable personalized protein nanoparticles (PNP) made entirely from patient-derived proteins. PNPs are built into different sizes and shapes with the same degree of tunability as gold nanoparticles. They are biodegradable and do not activate innate or adaptive immunity following single and repeated administrations in vivo. PNPs can be further modified with specific protein cargos that remain catalytically active even after intracellular delivery in vivo. Finally, we demonstrate that PNPs created from different human patients have unique molecular fingerprints encoded directly into the structure of the nanoparticle. This new class of personalized nanomaterial has the potential to revolutionize how we treat patients and can become an integral component in the diagnostic and therapeutic toolbox.

Fibroblast growth factor receptor 5 (FGFR5) is a co-receptor for FGFR1 that is up-regulated in beta-cells by cytokine-induced inflammation.

Fibroblast growth factor receptor-1 (FGFR1) activity at the plasma membrane is tightly controlled by the availability of co-receptors and competing receptor isoforms. We have previously shown that FGFR1 activity in pancreatic beta-cells modulates a wide range of processes, including lipid metabolism, insulin processing, and cell survival. More recently, we have revealed that co-expression of FGFR5, a receptor isoform that lacks a tyrosine-kinase domain, influences FGFR1 responses. We therefore hypothesized that FGFR5 is a co-receptor to FGFR1 that modulates responses to ligands by forming a receptor heterocomplex with FGFR1. We first show here increased FGFR5 expression in the pancreatic islets of nonobese diabetic (NOD) mice and also in mouse and human islets treated with proinflammatory cytokines. Using siRNA knockdown, we further report that FGFR5 and FGFR1 expression improves beta-cell survival. Co-immunoprecipitation and quantitative live-cell imaging to measure the molecular interaction between FGFR5 and FGFR1 revealed that FGFR5 forms a mixture of ligand-independent homodimers (∼25%) and homotrimers (∼75%) at the plasma membrane. Interestingly, co-expressed FGFR5 and FGFR1 formed heterocomplexes with a 2:1 ratio and subsequently responded to FGF2 by forming FGFR5/FGFR1 signaling complexes with a 4:2 ratio. Taken together, our findings identify FGFR5 as a co-receptor that is up-regulated by inflammation and promotes FGFR1-induced survival, insights that reveal a potential target for intervention during beta-cell pathogenesis.

Automated digital microfluidic platform for magnetic-particle-based immunoassays with optimization by design of experiments.

We introduce an automated digital microfluidic (DMF) platform capable of performing immunoassays from sample to analysis with minimal manual intervention. This platform features (a) a 90 Pogo pin interface for digital microfluidic control, (b) an integrated (and motorized) photomultiplier tube for chemiluminescent detection, and (c) a magnetic lens assembly which focuses magnetic fields into a narrow region on the surface of the DMF device, facilitating up to eight simultaneous digital microfluidic magnetic separations. The new platform was used to implement a three-level full factorial design of experiments (DOE) optimization for thyroid-stimulating hormone immunoassays, varying (1) the analyte concentration, (2) the sample incubation time, and (3) the sample volume, resulting in an optimized protocol that reduced the detection limit and sample incubation time by up to 5-fold and 2-fold, respectively, relative to those from previous work. To our knowledge, this is the first report of a DOE optimization for immunoassays in a microfluidic system of any format. We propose that this new platform paves the way for a benchtop tool that is useful for implementing immunoassays in near-patient settings, including community hospitals, physicians' offices, and small clinical laboratories.

Biochemical measurements on single erythroid progenitor cells shed light on the combinatorial regulation of red blood cell production.

Adult bone marrow (BM) erythrocyte colony-forming units (CFU-Es) are important cellular targets for the treatment of anemia and also for the manufacture of red blood cells (RBCs) ex vivo. We obtained quantitative biochemical measurements from single and small numbers of CFU-Es by isolating and analyzing c-Kit(+)CD71(high)Ter119(-) cells from adult mouse BM and this allowed us to identify two mechanisms that can be manipulated to increase RBC production. As expected, maximum RBC output was obtained when CFU-Es were stimulated with a combination of Stem Cell Factor (SCF) and Erythropoietin (EPO) mainly because SCF supports a transient CFU-E expansion and EPO promotes the survival and terminal differentiation of erythroid progenitors. However, we found that one of the main factors limiting the output in RBCs was that EPO induces a downregulation of c-Kit expression which limits the transient expansion of CFU-Es. In the presence of SCF, the EPO-mediated downregulation of c-Kit on CFU-Es is delayed but still significant. Moreover, treatment of CFU-Es with 1-Naphthyl PP1 could partially inhibit the downregulation of c-Kit induced by EPO, suggesting that this process is dependent on a Src family kinase, v-Src and/or c-Fyn. We also found that CFU-E survival and proliferation was dependent on the level of time-integrated extracellular-regulated kinase (ERK) activation in these cells, all of which could be significantly increased when SCF and EPO were combined with mouse fetal liver-derived factors. Taken together, these results suggest two novel molecular strategies to increase RBC production and regeneration.

Measurement of generation-dependent proliferation rates and death rates during mouse erythroid progenitor cell differentiation.

Herein, we describe an experimental and computational approach to perform quantitative carboxyfluorescein diacetate succinimidyl ester (CFSE) cell-division tracking in cultures of primary colony-forming unit-erythroid (CFU-E) cells, a hematopoietic progenitor cell type, which is an important target for the treatment of blood disorders and for the manufacture of red blood cells. CFSE labeling of CFU-Es isolated from mouse fetal livers was performed to examine the effects of stem cell factor (SCF) and erythropoietin (EPO) in culture. We used a dynamic model of proliferation based on the Smith-Martin representation of the cell cycle to extract proliferation rates and death rates from CFSE time-series. However, we found that to accurately represent the cell population dynamics in differentiation cultures of CFU-Es, it was necessary to develop a model with generation-specific rate parameters. The generation-specific rates of proliferation and death were extracted for six generations (G(0) -G(5) ) and they revealed that, although SCF alone or EPO alone supported similar total cell outputs in culture, stimulation with EPO resulted in significantly higher proliferation rates from G(2) to G(5) and higher death rates in G(2) , G(3) , and G(5) compared with SCF. In addition, proliferation rates tended to increase from G(1) to G(5) in cultures supplemented with EPO and EPO + SCF, while they remained lower and more constant across generations with SCF. The results are consistent with the notion that SCF promotes CFU-E self-renewal while EPO promotes CFU-E differentiation in culture.

Identification of enzyme-converted peptide products from single cells using capillary electrophoresis and liquid chromatography-mass spectrometry.

Single-cell analysis using chemical methods, otherwise known as chemical cytometry, promises to provide significant leaps in understanding signaling processes which result in cellular behavior. Sensitive methods for chemical cytometry such as capillary electrophoresis can detect and quantify multiple targets; however, conclusive identification of detected analytes is required for useful data to be obtained. Here, we demonstrate a method for determining the identity of enzyme-converted peptide products from single cells using a combination of capillary electrophoresis and liquid chromatography-mass spectrometry (LC-MS).

Inhibition of glycogen synthase kinase-3 enhances the differentiation and reduces the proliferation of adult human olfactory epithelium neural precursors.

The olfactory epithelium (OE) contains neural precursor cells which can be easily harvested from a minimally invasive nasal biopsy, making them a valuable cell source to study human neural cell lineages in health and disease. Glycogen synthase kinase-3 (GSK-3) has been implicated in the etiology and treatment of neuropsychiatric disorders and also in the regulation of murine neural precursor cell fate in vitro and in vivo. In this study, we examined the impact of decreased GSK-3 activity on the fate of adult human OE neural precursors in vitro. GSK-3 inhibition was achieved using ATP-competitive (6-bromoindirubin-3'-oxime and CHIR99021) or substrate-competitive (TAT-eIF2B) inhibitors to eliminate potential confounding effects on cell fate due to off-target kinase inhibition. GSK-3 inhibitors decreased the number of neural precursor cells in OE cell cultures through a reduction in proliferation. Decreased proliferation was not associated with a reduction in cell survival but was accompanied by a reduction in nestin expression and a substantial increase in the expression of the neuronal differentiation markers MAP1B and neurofilament (NF-M) after 10 days in culture. Taken together, these results suggest that GSK-3 inhibition promotes the early stages of neuronal differentiation in cultures of adult human neural precursors and provide insights into the mechanisms by which alterations in GSK-3 signaling affect adult human neurogenesis, a cellular process strongly suspected to play a role in the etiology of neuropsychiatric disorders.

Adventures in time and space: Nonlinearity and complexity of cytokine effects on stem cell fate decisions.

Cytokines are central factors in the control of stem cell fate decisions and, as such, they are invaluable to those interested in the manipulation of stem and progenitor cells for clinical or research purposes. In their in vivo niches or in optimized cultures, stem cells are exposed to multiple cytokines, matrix proteins and other cell types that provide individual and combinatorial signals that influence their self-renewal, proliferation and differentiation. Although the individual effects of cytokines are well-characterized in terms of increases or decreases in stem cell expansion or in the production of specific cell lineages, their interactions are often overlooked. Factorial design experiments in association with multiple linear regression is a powerful multivariate approach to derive response-surface models and to obtain a quantitative understanding of cytokine dose and interactions effects. On the other hand, cytokine interactions detected in stem cell processes can be difficult to interpret due to the fact that the cell populations examined are often heterogeneous, that cytokines can exhibit pleiotropy and redundancy and that they can also be endogenously produced. This perspective piece presents a list of possible biological mechanisms that can give rise to positive and negative two-way factor interactions in the context of in vivo and in vitro stem cell-based processes. These interpretations are based on insights provided by recent studies examining intra- and extra-cellular signaling pathways in adult and embryonic stem cells. Cytokine interactions have been classified according to four main types of molecular and cellular mechanisms: (i) interactions due to co-signaling; (ii) interactions due to sequential actions; (iii) interactions due to high-dose saturation and inhibition; and (iv) interactions due to intercellular signaling networks. For each mechanism, possible patterns of regression coefficients corresponding to the cytokine main effects, quadratic effects and two-way interactions effects are provided. Finally, directions for future mechanistic studies are presented.

Single amino acid resolution of proteolytic fragments generated in individual cells.

The complex nature of enzyme regulation mandates that enzyme activity profiles be measured in the context of the intact cell. Single-cell capillary electrophoresis (CE) coupled with laser-induced fluorescence is a powerful approach for quantitation and separation of analytes present in small samples and single live cells; however, it does not allow for the definitive identification of the reaction products. On the other hand, mass spectrometry (MS) is able to identify analytes but still lacks the requisite sensitivity for most single-cell analysis applications. Thus, it follows that by determining the relative amounts of reaction products generated in single cells using CE and by producing larger quantities of these products using bulk cell populations to identify them using MS, it is possible to determine enzyme activity profiles in single cells. In this study, the applicability of this approach was demonstrated by examining the intracellular fate of a protease substrate derived from the beta-amyloid precursor protein (beta-APP). In single live TF-1 cells, three distinct fragments were generated from the beta-APP peptide, which differed by a single uncharged amino acid. The CE measurements indicated that the proteolytic fragment profiles (i.e., the relative amounts of each fragment) were consistent from cell to cell but that they were different from those obtained in cell lysates. Furthermore, measurements obtained at the single cell level made it possible to observe a modest but statistically significant negative correlation between the total amount of beta-APP peptide loaded in cells and the fraction of peptide that remained intact. This study demonstrates how single-cell CE, MS, and peptide substrates can be combined to identify and measure enzyme activities in single live cells.

Selective enhancement of the uptake and bioactivity of a TAT-conjugated peptide inhibitor of glycogen synthase kinase-3.

The use of cell-penetrating peptides as transduction vectors is a promising approach to deliver peptides and proteins into cells. However, the uptake and bioavailability of trans-activating transcriptor (TAT)-conjugated molecules vary depending on the cell type and the cargo. This study aimed to determine whether a low-voltage electrical pulse can enhance the TAT-mediated delivery of peptide cargoes in different cell types. In TF-1 and mouse embryonic stem cells, the uptake of a novel detachable TAT-conjugated glycogen synthase kinase-3 (GSK-3) peptide inhibitor was enhanced by an order of magnitude without affecting the cell viability. A similar increase in uptake was achieved in primary mouse bone marrow cells while maintaining >80% of their viability. Interestingly, under these low-voltage conditions, the uptake of a control peptide not conjugated to TAT was not significantly increased. A T-cell factor/lymphoid enhancer factor (TCF/LEF) luciferase reporter assay was also used to assess the bioactivity of the TAT construct. The results indicated that cells loaded with a low-voltage electrical pulse had a twofold increase in TCF/LEF activity, which was equivalent to a level of GSK-3 inhibition similar to that of cells treated with 20 mmol/l lithium or 500 nmol/l (2'Z,3'E)-6-bromoindirubin-3'-oxime. These results demonstrate the usefulness of low-voltage electrical pulses to enhance the uptake and bioactivity of TAT-conjugated molecules in different cell types.

Measurement of cell-penetrating peptide-mediated transduction of adult hematopoietic stem cells.

The ability of cell-penetrating peptides (CPPs) to cross cell membranes and transport cargo into cells makes them an attractive tool for the molecular engineering of stem cells. Even though the exact mechanism of transduction remains unclear, their potential has been demonstrated for diverse applications, including hematopoietic stem cell expansion and the generation of islets cells from embryonic stem cells. Several parameters can affect the intracellular delivery of CPP-based constructs. Those include the type of cells targeted, the type of CPP used, and the properties of the cargo. For this reason, it is important to have a means to quantitatively assess the transduction efficiency of specific constructs in the cell type of interest in order to select the best vector for a specific application. In this chapter, we describe a method to measure the uptake of HIV transactivator of transcription (TAT) and the homeobox protein Antennapedia (Antp) constructs in primary hematopoietic progenitor cells and hematopoietic cell lines. This method is useful to compare, select, and optimize different strategies to deliver CPP-based constructs into a given cell type.

Current techniques for single-cell lysis.

Owing to the small quantities of analytes and small volumes involved in single-cell analysis techniques, manipulation strategies must be chosen carefully. The lysis of single cells for downstream chemical analysis in capillaries and lab-on-a-chip devices can be achieved by optical, acoustic, mechanical, electrical or chemical means, each having their respective strengths and weaknesses. Selection of the most appropriate lysis method will depend on the particulars of the downstream cell lysate processing. Ultrafast lysis techniques such as the use of highly focused laser pulses or pulses of high voltage are suitable for applications requiring high temporal resolution. Other factors, such as whether the cells are adherent or in suspension and whether the proteins to be collected are desired to be native or denatured, will determine the suitability of detergent-based lysis methods. Therefore, careful selection of the proper lysis technique is essential for gathering accurate data from single cells.

Synergy between erythropoietin and stem cell factor during erythropoiesis can be quantitatively described without co-signaling effects.

Synergistic interactions between cytokines underlie developmental processes fundamental to tissue and cellular engineering. However, a mechanistic understanding of the cell-specific and population-mediated effects is often lacking. In this study, we have investigated the synergistic generation of erythroid cells in response to erythropoietin (EPO) and stem cell factor (SCF). We have used a quantitative approach to determine if the effects of EPO and SCF superpose in a supra-additive fashion on the cell proliferation rate or on the death rate, suggesting a contribution from a joint cytokine effect (co-signaling). Primary mouse bone marrow hematopoietic cells and the stem cell-like FDCP-mix cell line were used to investigate the effects of EPO and SCF (individually or in combination) on erythroid output. Carboxyfluorescein diacetate succinimidyl ester (CFSE)-based cell-division tracking and mathematical modeling were used to measure cell type-specific proliferation and death rates. We observed a significant synergistic effect of EPO and SCF on the net generation of benzidine positive (erythroid) colony-forming cells, CD71++ (early erythroblasts) cells and TER-119+ (late erythroblasts and reticulocytes) cells in culture. When the observed increases in cell number were decomposed into proliferation and death rates, the cytokines were shown to act independently at different stages of erythroid development; SCF promoted the early proliferation of primitive cells, while EPO primarily promoted the survival of differentiating erythroid progenitor cells. Our analysis demonstrates that EPO and SCF have distinct and predominantly sequential effects on erythroid differentiation. This study emphasizes the necessity to separate proliferation rates from death rates to understand apparent cytokine synergies.