Unique proteomic signatures distinguish macrophages and dendritic cells.
Unique proteomic signatures distinguish macrophages and dendritic cells.
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DOI：
10.1371/journal.pone.0033297
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Heinecke JW
中科院分区：
文献类型：
--
作者：
Becker L;Liu NC;Averill MM;Yuan W;Pamir N;Peng Y;Irwin AD;Fu X;Bornfeldt KE;Heinecke JW
单核细胞分化为不同种类的组织巨噬细胞和树突状细胞(DC)，调节炎症和免疫。然而，在体内鉴定特定的髓系细胞群体是有问题的，因为只有有限数量的蛋白质被用来指定细胞表型。利用质谱仪和骨髓来源的细胞，我们提供了M-CSF来源的巨噬细胞、经典激活的和交替激活的巨噬细胞以及GM-CSF来源的DC的蛋白质组的全局视图。值得注意的是，在体外培养的不同细胞群体中，一半的质膜蛋白的表达水平存在显著差异。此外，巨噬细胞和树突状细胞的膜蛋白质组比经典激活和交替激活的巨噬细胞的膜蛋白质组更明显。等级聚类和双重统计分析表明，每种细胞类型都表现出独特的强大蛋白质组特征。为了询问体内髓系细胞的表型，我们对来自野生型和GM-CSF缺陷小鼠的诱导的腹膜巨噬细胞进行了质谱分析和功能分析。出乎意料的是，我们发现腹膜巨噬细胞具有体外培养的DC的许多特征。这些发现表明，对膜蛋白质组的全局分析可以帮助确定体内免疫细胞的表型。
Monocytes differentiate into heterogeneous populations of tissue macrophages and dendritic cells (DCs) that regulate inflammation and immunity. Identifying specific populations of myeloid cells in vivo is problematic, however, because only a limited number of proteins have been used to assign cellular phenotype. Using mass spectrometry and bone marrow-derived cells, we provided a global view of the proteomes of M-CSF-derived macrophages, classically and alternatively activated macrophages, and GM-CSF-derived DCs. Remarkably, the expression levels of half the plasma membrane proteins differed significantly in the various populations of cells derived in vitro. Moreover, the membrane proteomes of macrophages and DCs were more distinct than those of classically and alternatively activated macrophages. Hierarchical cluster and dual statistical analyses demonstrated that each cell type exhibited a robust proteomic signature that was unique. To interrogate the phenotype of myeloid cells in vivo, we subjected elicited peritoneal macrophages harvested from wild-type and GM-CSF-deficient mice to mass spectrometric and functional analysis. Unexpectedly, we found that peritoneal macrophages exhibited many features of the DCs generated in vitro. These findings demonstrate that global analysis of the membrane proteome can help define immune cell phenotypes in vivo.
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影响因子：
2.8
作者：
Bradford, Barry M.;Sester, David P.;Mabbott, Neil A.
通讯作者：
Mabbott, Neil A.
DOI：
10.1073/pnas.0812247106
发表时间：
2009-02-03
影响因子：
11.1
作者：
Idoyaga, Juliana;Suda, Nao;Steinman, Ralph M.
通讯作者：
Steinman, Ralph M.
影响因子：
5.5
作者：
Fleetwood, Andrew J.;Dinh, Hang;Hamilton, John A.
通讯作者：
Hamilton, John A.
影响因子：
2.8
作者：
Mabbott, Neil A.;Baillie, J. Kenneth;Freeman, Tom C.
通讯作者：
Freeman, Tom C.
影响因子：
7.4
作者：
Liu, HB;Sadygov, RG;Yates, JR
通讯作者：
Yates, JR