Regulatory networks define phenotypic classes of human stem cell lines.
Regulatory networks define phenotypic classes of human stem cell lines.
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DOI：
10.1038/nature07213
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发表时间：
2008-09-18
期刊：
影响因子：
64.8
通讯作者：
Loring, Jeanne F.
中科院分区：
文献类型：
--
作者：
Mueller, Franz-Josef;Laurent, Louise C.;Kostka, Dennis;Ulitsky, Igor;Williams, Roy;Lu, Christina;Park, In-Hyun;Rao, Mahendra S.;Shamir, Ron;Schwartz, Philip H.;Schmidt, Nils O.;Loring, Jeanne F.
干细胞被定义为可以分化成多种不同细胞类型的自我更新细胞群。然而，来自胚胎、胎儿和成人来源的数百种不同的人类细胞系被称为干细胞，尽管它们的范围从以胚胎干细胞为代表的多能细胞（其能够几乎无限地增殖和分化）到成人干细胞系（其可以产生分化细胞类型的有限得多的储备）。干细胞新来源的报道的迅速增加及其对再生医学的预期价值突出了对用于分类这些细胞的通用的、可重复的方法的需要。我们在这里报告的创建和分析的全球基因表达谱数据库（“干细胞矩阵”），使培养的人类干细胞的背景下，各种各样的多能，多能和分化的细胞类型的分类。使用无监督聚类方法对约150个细胞样本进行分类，我们发现多能干细胞系聚集在一起，而其他细胞类型，包括脑源性神经干细胞系，则非常多样化。使用进一步的生物信息学分析，我们发现了由多能细胞（胚胎干细胞、胚胎癌和诱导多能细胞）共享的蛋白质-蛋白质网络（“PluriNet”）。对已发表数据的分析表明，PluriNet似乎是多能细胞的共同特征，包括小鼠ES和iPS细胞以及人类卵母细胞。我们的研究结果为干细胞分类提供了一种新的策略，并支持了多功能和自我更新受到特定分子网络严格控制的观点。
Stem cells are defined as self-renewing cell populations that can differentiate into multiple distinct cell types. However, hundreds of different human cell lines from embryonic, fetal, and adult sources have been called stem cells, even though they range from pluripotent cells, typified by embryonic stem cells, which are capable of virtually unlimited proliferation and differentiation, to adult stem cell lines, which can generate a far more limited repertory of differentiated cell types. The rapid increase in reports of new sources of stem cells and their anticipated value to regenerative medicine have highlighted the need for a general, reproducible method for classification of these cells. We report here the creation and analysis of a database of global gene expression profiles (“Stem Cell Matrix”) that enables the classification of cultured human stem cells in the context of a wide variety of pluripotent, multipotent, and differentiated cell types. Using an unsupervised clustering method to categorize a collection of ~150 cell samples, we discovered that pluripotent stem cell lines group together, while other cell types, including brain-derived neural stem cell lines, are very diverse. Using further bioinformatic analysis we uncovered a protein-protein network (“PluriNet”) that is shared by the pluripotent cells (embryonic stem cells, embryonal carcinomas, and induced pluripotent cells). Analysis of published data showed that the PluriNet appears to be a common characteristic of pluripotent cells, including mouse ES and iPS cells and human oocytes. Our results offer a new strategy for classifying stem cells and support the idea that pluripotence and self-renewal are under tight control by specific molecular networks.
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影响因子：
56.9
作者：
Golub, TR;Slonim, DK;Lander, ES
通讯作者：
Lander, ES
影响因子：
64.8
作者：
Palmer, TD;Schwartz, PH;Gage, FH
通讯作者：
Gage, FH
DOI：
10.1073/pnas.0603227103
发表时间：
2006-09-19
影响因子：
11.1
作者：
Kocabas, Arif Murat;Crosby, Javier;Cibelli, Jose Bernardo
通讯作者：
Cibelli, Jose Bernardo
影响因子：
14.9
作者：
Barnes M;Freudenberg J;Thompson S;Aronow B;Pavlidis P
通讯作者：
Pavlidis P
影响因子：
5.8
作者：
Barsky, Aaron;Gardy, Jennifer L.;Munzner, Tamara
通讯作者：
Munzner, Tamara