Vimentin 波形蛋白（克隆號(hào)SP20）

廣州健侖生物科技有限公司

波形蛋白是中間絲蛋白家族中zui普通的成員，是細(xì)胞骨架結(jié)構(gòu)中一種主要成分。它在各種間充質(zhì)細(xì)胞和源自中胚層的細(xì)胞類(lèi)型的細(xì)胞發(fā)育和分化中表達(dá)。波形蛋白在細(xì)胞的完整性和細(xì)胞骨架的穩(wěn)定性中發(fā)揮作用。主要用于間葉來(lái)源的惡性腫瘤如肌源性腫瘤、軟組織腫瘤和骨腫瘤等腫瘤的研究，在癌與肉瘤、惡黑與低分化癌、未分化癌與淋巴瘤的鑒別中有重要意義。

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Vimentin 波形蛋白（克隆號(hào)SP20）

【產(chǎn)品介紹】

細(xì)胞定位：細(xì)胞漿

克隆號(hào)：SP20

同型：IgG

適用組織：石蠟/冰凍

陽(yáng)性對(duì)照：扁桃體

抗原修復(fù)：熱修復(fù)（EDTA）

抗體孵育時(shí)間：30-60min

Vimentin

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【公司名稱(chēng)】 廣州健侖生物科技有限公司
【市場(chǎng)部】     歐

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【騰訊  】 
【公司地址】 廣州清華科技園創(chuàng)新基地番禺石樓鎮(zhèn)創(chuàng)啟路63號(hào)二期2幢101-103室

細(xì)胞環(huán)境有著超越基因組的影響，正因如此，大規(guī)模“組學(xué)”數(shù)據(jù)將是未來(lái)細(xì)胞重編程的一個(gè)重要方面。雖然我們認(rèn)為iPSC和ESC在功能上是相同的，但轉(zhuǎn)錄組、蛋白質(zhì)組和表觀基因組水平的深入研究將有助于闡明環(huán)境對(duì)重編程的影響。另外，在單個(gè)細(xì)胞中同時(shí)檢測(cè)多個(gè)“組學(xué)”，將能鑒定那些造成iPSC多能性差異的基礎(chǔ)元件。
目前，細(xì)胞重編程領(lǐng)域普遍缺乏定量數(shù)據(jù)。實(shí)際上，文獻(xiàn)中的重編程效率差異，可能更多的是由體細(xì)胞內(nèi)部異質(zhì)性造成的，而不是方法學(xué)上的問(wèn)題。定量理解這樣的異質(zhì)性，可以幫助我們從細(xì)胞群體中區(qū)分出想要的細(xì)胞。
Buganim等人通過(guò)細(xì)胞重編程的兩個(gè)狀態(tài)，描述了異質(zhì)性產(chǎn)生的基礎(chǔ)。首先，OSKM轉(zhuǎn)基因激活一系列隨機(jī)事件，當(dāng)這些事件達(dá)到“適當(dāng)”條件時(shí)，細(xì)胞轉(zhuǎn)變?yōu)榈诙€(gè)狀態(tài)。這個(gè)狀態(tài)會(huì)出現(xiàn)決定性的基因表達(dá)，此時(shí)轉(zhuǎn)基因被沉默，細(xì)胞被重塑為多能性狀態(tài)。在Buganim這個(gè)模型中，轉(zhuǎn)基因激活與沉默之間的平衡，是細(xì)胞重編程效率低的重要原因。我們可以換一種途徑進(jìn)行重編程，激活或沉默非基因組的因子，將有望顯著提高重編程效率。“組學(xué)”數(shù)據(jù)無(wú)疑能加深我們對(duì)這些因子的認(rèn)識(shí)，幫助我們理解細(xì)胞重編程的必要條件和非必要條件。

The cellular environment has the effect of transcending the genome, and as such, large-scale "omics" data will be an important aspect of future cell reprogramming. Although we believe that iPSCs and ESC are functionally identical, further studies of transcriptome, proteome, and epigenome levels will help elucidate the impact of the environment on reprogramming. In addition, the simultaneous detection of multiple "omics" in a single cell will identify those basic elements that contribute to the pluripotency of iPSCs.
Currently, there is a general lack of quantitative data in the field of cell reprogramming. In fact, the differences in reprogramming efficiency in the literature may be due more to the internal heterogeneity of somatic cells than to methodological problems. Quantitative understanding of this heterogeneity can help us to distinguish the cells we want from the cell population.
Buganim et al. Describe the basis for heterogeneity through the two states of cellular reprogramming. First, OSKM transgenics activate a series of random events, and when these events reach the "appropriate" condition, the cells switch to the second state. This state will appear decisive gene expression, when the transgene is silenced, the cells are remodeled into pluripotent state. In the Buganim model, the balance between transactivation and silencing is a major cause of inefficient cell reprogramming. We can reprogram, activate or silence non-genomic factors in a different way, and we expect to significantly improve reprogramming efficiency. "Omics" data undoubtedly deepen our understanding of these factors and help us to understand the necessary and non-essential conditions for cell reprogramming.