Development of a downscale sedimentation field flow fractionation device for biological event monitoring.

Classically described as a macroscale size-density based method, Sedimentation field flow fractionation (SdFFF) has been successfully used for cell sorting. The goal of this study was to develop a new SdFFF device for downscale applications, in particular for oncology research to rapidly monitor chemical biological event induction in a cell line. The development of a downscale SdFFF device required reduction of the separation channel volume. Taking advantage of a newly laboratory designed apparatus, channel volume was successfully decreased by reducing both length and breadth. To validate the apparatus and method, we used the well-known model of diosgenin dose-dependent induction of apoptosis or megakaryocytic differentiation in HEL cells. After a minute scale acquisition of a reference profile, the downscale device was able to perform fast, early, significant and reproducible monitoring of apoptosis and differentiation, two important biological mechanisms in the field of cancer research.

Analysis of relationship between cell cycle stage and apoptosis induction in K562 cells by sedimentation field-flow fractionation.

Recently, sedimentation field-flow fractionation (SdFFF) was used to study the specific kinetics of diosgenin-induced apoptosis in K562 cells. Here, we propose a new SdFFF cell separation application in the field of cancer research concerning the correlation between induction of a biological event (i.e. apoptosis) and cell status (i.e. cell cycle position). SdFFF isolated subpopulations depending on the cell cycle position allowing the study of apoptosis kinetics and extent. Results showed that cells in G0/G1 phases (F3 cells) underwent significant and earlier apoptosis than cells in the active part of the cell cycle (S/G2/M phases). Results shed light on the correlation between differences in apoptosis kinetics and cell cycle stage when exposure to the inducer began. SdFFF monitoring and size measurement also led to the description of different subpopulations demonstrating complex variations in density between fractions associated with differences in biological processes.

Study of diosgenin-induced apoptosis kinetics in K562 cells by Sedimentation Field Flow Fractionation.

Recently, the use of SdFFF in cancer research has been studied in order to better understand major phenomena implicated in cancer development and therapy: apoptosis and differentiation. In this report, we used SdFFF as a monitoring and cell separation tool to study the kinetics of apoptosis. Incubation of K562 cells with diosgenin, used as cellular model, led to a surprising apoptotic process occurring in two phases (after 24 and 48 h incubation), associated with specific p-ERK expression. Based on the capacity to sort apoptotic cells, results showed that SdFFF cell separation was an effective analytical tool to obtain different subpopulations regardless of the kinetics and extent of apoptosis. Results also showed that, after proper biological calibration of elution profiles, SdFFF can be used to monitor either the induction or the kinetics of a biological event.

Study of the phenotypic relationship in the IMR-32 human neuroblastoma cell line by sedimentation field flow fractionation.

Neuroblastoma (NB) is the most common childhood solid tumor. Although spontaneous regression can occur in patients <1-year old, 70% of patients over the age of 1 year have a high-risk and difficult-to-treat NB. Cell type heterogeneity is observed either in the morphological appearance of NB tumors or in cell lines isolated from tumor specimens. NB consists of two principal neoplastic cell types: i) neuroblastic or N-type (undifferentiated cells); and ii) stromal or S-type (differentiated cells). As NB cells seem to have the capacity to differentiate spontaneously in vivo and in vitro, their heterogeneity could affect treatment outcome, in particular the response to apoptosis induced by chemotherapy. Therefore, it is important to understand the underlying process governing changes in differentiation in order to improve treatment response and NB patient outcome and the neoplastic population in IMR-32 represented a good model for such a study. Results showed that this cell line was extremely heterogeneous and highly variable in its stage of differentiation and we demonstrated that sedimentation field flow fractionation (SdFFF) permitted the isolation of 2 N-phenotypes and contributed to the understanding of the IMR-32 cell population dynamics. The first N-phenotype forms a pool of quiescent undifferentiated cells while the second one was able to proliferate (incorporation of BrdU) and also give rise to adherent S-type cells (PSA-N-CAM+ and N-CAM+). The results could also suggest a close interaction between these different cellular phenotypes to create the IMR-32 cell lineage.

Sedimentation field flow fractionation monitoring of bimodal wheat starch amylolysis.

Enzymatic starch granule hydrolysis is one of the most important reactions in many industrial processes. In this study, we investigated the capacity of sedimentation field flow fractionation (SdFFF) to monitor the amylolysis of a bimodal starch population: native wheat starch. Results demonstrated a correlation between fractogram changes and enzymatic hydrolysis. Furthermore, SdFFF was used to sort sub-populations which enhanced the study of granule size distribution changes occurring during amylolysis. These results show the interest in coupling SdFFF with particle size measurement methods to study complex starch size/density modifications associated to hydrolysis. These results suggested different applications such as the association of SdFFF with structural investigations to better understand the specific mechanisms of amylolysis or starch granule structure.

Pre-apoptotic sub-population cell sorting from diosgenin apoptosis induced 1547 cells by Sedimentation Field-Flow Fractionation. The effect of channel thickness on sorting performance.

Apoptosis is one of the most important phenomena in cell biology. Pre-apoptotic cells, defined as cells engaged in early stages of apoptosis, could be used as a cellular tool to study apoptosis pathways. The human 1547 osteosarcoma cell line and diosgenin (a plant steroid) association was selected as an in vitro cellular apoptosis model. In a previous study, using this model, we demonstrated that SdFFF monitored apoptosis induction as early as 6h after incubation. In this study, we investigated the capacity of Sedimentation Field-Flow Fractionation (SdFFF) to sort an enriched population of pre-apoptotic cells from 1547 cells incubated for 6 h with 40 microM diosgenin. In that way, two different separation devices which differed especially in channel thickness, 125 and 175 microm, were used and compared. Results showed, for the first time, that SdFFF is an effective method to obtain an enriched pre-apoptotic sub-population. These results suggest, as a new application, that SdFFF could be an included tool in the study of apoptotic mechanisms or the kinetic action of apoptotic drugs.

Sedimentation field flow fractionation monitoring of rice starch amylolysis.

Enzymatic starch granule hydrolysis is one of the most important reactions in many industrial processes. In this work, we investigated the capacity of SdFFF to monitor the native rice starch amylolysis. In order to determine if fractogram changes observed were correlated to granule biophysical modifications which occurred during amylolysis, SdFFF separation was associated with particle size distribution analysis. The results showed that SdFFF is an effective tool to monitor amylolysis of native rice starch. SdFFF analysis was a rapid (less than 10 min), simple and specific method to follow biophysical modifications of starch granules. These results suggested many different applications such as testing series of enzymes and starches. By using sub-population sorting, SdFFF could be also used to better understand starch hydrolysis mechanisms or starch granule structure.