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A major challenge to experimental studies and therapeutic uses of hematopoietic stem cells (HSC) is the limited options for analytical tools that can reliably resolve functional differences in heterogeneous HSC subpopulations at the single cell level. Currently available methods require the use of external labels and/or separate clonogenic and transplantation assays to identify bona fide stem cells, necessitating the harvest of bulk cell populations and long incubation times that obscure how individual HSCs dynamically respond to exogenous and endogenous stimuli. In this study, we employ Raman spectroscopy to noninvasively resolve the dynamics of individual differentiating hematopoietic progenitor cells during the course of neutrophilic differentiation. We collected Raman peaks of individual cells daily over the course of 14-day neutrophilic differentiation. Principal component analysis (PCA) of the Raman peaks revealed spectral differences between individual cells during differentiation that were strongly correlated with changes in the nucleus shape and surface antigen expression, the primary traditional means of monitoring neutrophilic differentiation. Additionally, our results were consistently reproducible in independent rounds of neutrophilic differentiation, as demonstrated by our partial least-squares discriminant analysis (PLS-DA) of the Raman spectral information that predicted the degree of neutrophilic differentiation with high sensitivity and specificity. Our findings highlight the utility and reliability of Raman spectroscopy as a robust molecular imaging tool to monitor the kinetics of HSC differentiation patterns.

The ability to self-renew and differentiate into multiple types of blood and immune cells renders hematopoietic stem and progenitor cells (HSPCs) valuable for clinical treatment of hematopoietic pathologies and as models of stem cell differentiation for tissue engineering applications. To study directed hematopoietic stem cell (HSC) differentiation and identify the conditions that recreate the native bone marrow environment, combinatorial biomaterials that exhibit lateral variations in chemical and mechanical properties are employed. New experimental approaches are needed to facilitate correlating cell differentiation stage with location in the culture system. We demonstrate that multivariate analysis of time-of-flight secondary ion mass spectrometry (TOF-SIMS) data can be used to identify the differentiation state of individual hematopoietic cells (HCs) isolated from mouse bone marrow. Here, we identify primary HCs from three distinct stages of B cell lymphopoiesis at the single cell level: HSPCs, common lymphoid progenitors, and mature B cells. The differentiation state of individual HCs in a test set could be identified with a partial least-squares discriminant analysis (PLS-DA) model that was constructed with calibration spectra from HCs of known differentiation status. The lowest error of identification was obtained when the intrapopulation spectral variation between the cells in the calibration and test sets was minimized. This approach complements the traditional methods that are used to identify HC differentiation stage. Further, the ability to gather mass spectrometry data from single HSCs cultured on graded biomaterial substrates may provide significant new insight into how HSPCs respond to extrinsic cues as well as the molecular changes that occur during cell differentiation.