數(shù)以百計(jì)的不同人類(lèi)細(xì)胞系被統(tǒng)稱(chēng)為“干細(xì)胞”。它們可以來(lái)自胚胎、胎兒或者成年人體,。而且,，它們是多能的，即能夠產(chǎn)生一系列不同細(xì)胞,，或者產(chǎn)生種類(lèi)有限的細(xì)胞類(lèi)型,。
Müller等人試圖根據(jù)從超過(guò)150個(gè)細(xì)胞樣品獲取的一個(gè)轉(zhuǎn)錄譜數(shù)據(jù)庫(kù)建立一個(gè)“干細(xì)胞診斷”體系，來(lái)統(tǒng)一人類(lèi)干細(xì)胞的定性和分類(lèi),。
生物信息分析顯示,，多能干細(xì)胞系有很多共性，它們都有一個(gè)典型的蛋白-蛋白網(wǎng)絡(luò),，稱(chēng)之為“PluriNe”,。其他細(xì)胞類(lèi)型，包括來(lái)自大腦的神經(jīng)干細(xì)胞系,，要多樣化得多,。
這些結(jié)果為對(duì)干細(xì)胞進(jìn)行分類(lèi)提供了一個(gè)新策略，并且支持這樣一個(gè)觀點(diǎn)：多能性和自我更新能力受特定分子網(wǎng)絡(luò)的嚴(yán)格控制,。（生物谷Bioon.com）
生物谷推薦原始出處：
Nature 455, 401-405 (18 September 2008) | doi:10.1038/nature07213
Regulatory networks define phenotypic classes of human stem cell lines
Franz-Josef Müller1,2, Louise C. Laurent1,3, Dennis Kostka4,13, Igor Ulitsky5, Roy Williams6, Christina Lu1, In-Hyun Park7, Mahendra S. Rao8,9, Ron Shamir5, Philip H. Schwartz10,11, Nils O. Schmidt12 & Jeanne F. Loring1,6
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 repertoire of differentiated cell types. The rapid increase in reports of new sources of stem cells and their anticipated value to regenerative medicine1, 2 has highlighted the need for a general, reproducible method for classification of these cells3. We report here the creation and analysis of a database of global gene expression profiles (which we call the '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 method4, 5 to categorize a collection of 150 cell samples, we discovered that pluripotent stem cell lines group together, whereas other cell types, including brain-derived neural stem cell lines, are very diverse. Using further bioinformatic analysis6 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 seems to be a common characteristic of pluripotent cells, including mouse embryonic stem and induced pluripotent cells and human oocytes. Our results offer a new strategy for classifying stem cells and support the idea that pluripotency and self-renewal are under tight control by specific molecular networks.
