Aizawa S, Yaguchi M, Nakano M, Toyama K, Inokuchi S, Imai T, Yasuda M, Nabeshima R, Handa H
First Department of Internal Medicine, Tokyo Medical College, Japan.
Exp Hematol. 1994 Jun;22(6):482-7.
We have previously reported the establishment of a variety of human bone marrow stromal cell lines using a recombinant SV40-adenovirus vector. Using this vector, we obtained more clonal stromal cells. Here, we have characterized these cells and analyzed their capacity to support the proliferation and differentiation of hematopoietic cells. The stromal cells were cocultured with nonadherent human bone marrow cells used as hematopoietic cells. The total numbers of hematopoietic cells and CFU-GM in culture were counted every week. Two of the six stromal cell lines, AA101 and HAS303, supported the proliferation and differentiation of hematopoietic cells and CFU-GM for more than 9 weeks. Further, granulocytes, macrophages, and megakaryocytes were detected when cocultured with these cells. When hematopoietic cells were cocultured but separated from the two stromal cell lines by a 0.45-microns millipore membrane to prevent their attachment, almost all CFU-GM disappeared within 7 weeks. The supportive stromal cells produced GM-CSF and IL-6. However, other cell lines producing these humoral factors did not support hematopoietic cell proliferation for such a long time. These findings suggest that these established human bone marrow stromal cell lines will be useful, in that analysis of their supportive function in hematopoietic cell proliferation and differentiation through cell-to-cell interaction will shed some light on this area.
我们之前报道过使用重组SV40 - 腺病毒载体建立多种人骨髓基质细胞系。利用该载体,我们获得了更多的克隆基质细胞。在此,我们对这些细胞进行了表征,并分析了它们支持造血细胞增殖和分化的能力。将基质细胞与用作造血细胞的非贴壁人骨髓细胞共培养。每周对培养物中的造血细胞总数和CFU - GM进行计数。六个基质细胞系中的两个,AA101和HAS303,在超过9周的时间里支持造血细胞和CFU - GM的增殖和分化。此外,当与这些细胞共培养时,检测到了粒细胞、巨噬细胞和巨核细胞。当造血细胞共培养但通过0.45微米的微孔膜与这两个基质细胞系分离以防止它们附着时,几乎所有CFU - GM在7周内消失。支持性基质细胞产生GM - CSF和IL - 6。然而,产生这些体液因子的其他细胞系并不能在如此长的时间内支持造血细胞增殖。这些发现表明,这些已建立的人骨髓基质细胞系将是有用的,因为通过细胞间相互作用对它们在造血细胞增殖和分化中的支持功能进行分析将为该领域提供一些启示。