Towards a Quantitative Understanding of Cell Identity.
Towards a Quantitative Understanding of Cell Identity.
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DOI：
10.1016/j.tcb.2018.09.002
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发表时间：
2018-12
影响因子：
19
通讯作者：
Sarkar CA
中科院分区：
文献类型：
--
作者：
Ye Z;Sarkar CA
传统上，细胞的特征在于使用被认为指定表型的几种蛋白质的表达水平。这需要对蛋白质进行先验选择，这可能会引入描述符偏差，并且忽略了群体中每个细胞内嵌套的额外分子信息的丰富性，这通常会使这些稀疏描述符定性。最近，通过新的高通量、信息密集的实验方法和数据驱动的计算方法，更公正和定量的细胞表征成为可能。这篇综述讨论了细胞身份的三个核心概念：定义，创建和稳定性的背景下，这样的定量描述符。总的来说，这些概念对于构建定量表型景观至关重要，这将增强我们对细胞生物学的理解，并促进细胞工程的研究和临床应用。
Cells have traditionally been characterized using expression levels of a few proteins that are thought to specify phenotype. This requires a priori selection of proteins, which can introduce descriptor bias, and neglects the wealth of additional molecular information nested within each cell in a population, which often makes these sparse descriptors qualitative. Recently, more unbiased and quantitative cell characterization has been made possible by new high-throughput, information-dense experimental approaches and data-driven computational methods. This review discusses such quantitative descriptors in the context of three central concepts of cell identity: definition, creation, and stability. Collectively, these concepts are essential for constructing quantitative phenotypic landscapes, which will enhance our understanding of cell biology and facilitate cell engineering for research and clinical applications.
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影响因子：
4.3
作者：
Chen H;Lau MC;Wong MT;Newell EW;Poidinger M;Chen J
通讯作者：
Chen J
影响因子：
12.3
作者：
Carpenter AE;Jones TR;Lamprecht MR;Clarke C;Kang IH;Friman O;Guertin DA;Chang JH;Lindquist RA;Moffat J;Golland P;Sabatini DM
通讯作者：
Sabatini DM
影响因子：
64.5
作者：
Benayoun BA;Pollina EA;Ucar D;Mahmoudi S;Karra K;Wong ED;Devarajan K;Daugherty AC;Kundaje AB;Mancini E;Hitz BC;Gupta R;Rando TA;Baker JC;Snyder MP;Cherry JM;Brunet A
通讯作者：
Brunet A
影响因子：
64.8
作者：
Chang, Hannah H.;Hemberg, Martin;Huang, Sui
通讯作者：
Huang, Sui
影响因子：
5.8
作者：
Angerer, Philipp;Haghverdi, Laleh;Buettner, Florian
通讯作者：
Buettner, Florian