Figure 1.
Figure 1. Characterization of BM populations highly enriched in PMs, MYs, bm-PMNs, and pb-PMNs. (A, top row) Wright-Giemsa-stained cytospin preparations demonstrate the shape (× 1000 magnification) and the differential count of the purified BM and PB populations (mean ± SD, n = 3), including myeloblasts (MBs), promyelocytes (PMs), myelocytes (MCs), metamyelocytes (MMs), band cells (BCs), and neutrophils from bone marrow (bm-PMNs) and peripheral blood (pb-PMNs). (Bottom row) Two-color flow cytometry analysis was applied to determine the frequency of residual nongranulocytic cells (CD3, CD19, CD14, glycophorin-A, CD56, CD61) in cell populations following purification (mean ± SD, n = 3). (B, top and middle rows) Example of a typical 3-color flow cytometry analysis of BM and PB populations. (Bottom row) The purified populations were subcategorized as MBs, PMs, MCs/MMs, and BCs/PMNs based on cellular size, granularity, and expression profile of the CD15, CD11b, and CD16 surface markers (mean ± SD, n = 3).

Characterization of BM populations highly enriched in PMs, MYs, bm-PMNs, and pb-PMNs. (A, top row) Wright-Giemsa-stained cytospin preparations demonstrate the shape (× 1000 magnification) and the differential count of the purified BM and PB populations (mean ± SD, n = 3), including myeloblasts (MBs), promyelocytes (PMs), myelocytes (MCs), metamyelocytes (MMs), band cells (BCs), and neutrophils from bone marrow (bm-PMNs) and peripheral blood (pb-PMNs). (Bottom row) Two-color flow cytometry analysis was applied to determine the frequency of residual nongranulocytic cells (CD3, CD19, CD14, glycophorin-A, CD56, CD61) in cell populations following purification (mean ± SD, n = 3). (B, top and middle rows) Example of a typical 3-color flow cytometry analysis of BM and PB populations. (Bottom row) The purified populations were subcategorized as MBs, PMs, MCs/MMs, and BCs/PMNs based on cellular size, granularity, and expression profile of the CD15, CD11b, and CD16 surface markers (mean ± SD, n = 3).

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