Using such a separation approach, cellular patterns can be identified by assessing, in individual cells within a population, protein expression using fluorescently labeled antibodies and other fluorescent probes ( 1, 4). Initially developed in the 1960s, flow cytometry made automated separation of cells based on the unique recognition of cellular patterns within a population feasible ( 5). The advent of cellular measurements by flow cytometric analysis constituted an important step toward understanding individual attributes within a population of cells. Together, these guidelines will facilitate the review and publication of flow cytometry data that provide an accurate foundation for ongoing studies with this evolving technology. Four major points, experimental and sample information, data acquisition, analysis, and presentation are emphasized. Herein we present a summarized view for the inclusion of consistent flow cytometric experimental information as supplemental data. The complexity of technological advancements and the need for improvements in biological resolution results in the generation of complex data that demands the use of minimum standards for their publication. The technology for accurately identifying subtle changes in protein expression within a population of cells using a vast array of technology has resulted in controversy and questions regarding reproducibility, which can be explained at least in part by the absence of standard methods to facilitate comparison of flow cytometric data. Assessing individual cells within a population by protein expression using fluorescently labeled antibodies and other fluorescent probes can identify cellular patterns. Cellular measurements by flow cytometric analysis constitute an important step toward understanding individual attributes within a population of cells.
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