helixCAM: A platform for programmable cellular assembly in bacteria and human cells.
helixCAM: A platform for programmable cellular assembly in bacteria and human cells.
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DOI：
10.1016/j.cell.2022.08.012
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发表时间：
2022-09-15
期刊：
影响因子：
64.5
通讯作者：
Church, George M.
中科院分区：
文献类型：
--
作者：
Chao, George;Wannier, Timothy M.;Gutierrez, Clair;Borders, Nathaniel C.;Appleton, Evan;Chadha, Anjali;Lebar, Tina;Church, George M.
细胞之间的相互作用是信号传递和构建结构所不可缺少的。指导精确的细胞-细胞相互作用的能力对于设计组织、了解信号通路和指导免疫细胞靶向将是强大的。在人类中，细胞间的相互作用是由细胞黏附分子(CAM)介导的。然而，内源性CaM由许多细胞天然表达，往往具有交叉反应，使它们不适合编程特定的相互作用。在这里，我们展示了“helixCAM”，这是一个通过在细胞表面呈现卷曲的多肽来设计合成凸轮的平台。HelixCAM能够在细菌和人类细胞中创建特定的细胞-细胞相互作用并直接形成图案化的聚集体。基于线圈相互作用原理，我们构建了一套设计合理的helixCAM文库，从而发现了额外的高性能helixCAM对。我们将该helixCAM工具包应用于各种多细胞工程应用，如球状分层、贴壁细胞靶向和表面图案化。细胞表面垂直相互作用的工程螺旋对使特定的细胞-细胞或细胞-表面相互作用，以控制细菌和人类细胞形成复杂的多细胞结构和图案。
Interactions between cells are indispensable for signaling and creating structure. The ability to direct precise cell-cell interactions would be powerful for engineering tissues, understanding signaling pathways, and directing immune cell targeting. In humans, intercellular interactions are mediated by cell adhesion molecules (CAMs). However, endogenous CAMs are natively expressed by many cells and tend to have cross-reactivity, making them unsuitable for programming specific interactions. Here, we showcase “helixCAM,” a platform for engineering synthetic CAMs by presenting coiled-coil peptides on the cell surface. helixCAMs were able to create specific cell-cell interactions and direct patterned aggregate formation in bacteria and human cells. Based on coiled-coil interaction principles, we built a set of rationally designed helixCAM libraries, which led to the discovery of additional high-performance helixCAM pairs. We applied this helixCAM toolkit for various multicellular engineering applications, such as spherical layering, adherent cell targeting, and surface patterning. Orthogonally interacting engineered pairs of coiled coils on the surface of cells enable specific cell-cell or cell-surface interactions for the controlled formation of complex multicellular structures and patterns from bacterial and human cells.
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影响因子：
14.8
作者：
Gietz, R. Daniel;Schiestl, Robert H.
通讯作者：
Schiestl, Robert H.
影响因子：
4.8
作者：
Ansari, Amir Mehdi;Ahmed, A. Karim;Matsangos, Aerielle E.;Lay, Frank;Born, Louis J.;Marti, Guy;Harmon, John W.;Sun, Zhaoli
通讯作者：
Sun, Zhaoli
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
Biopython：用于计算分子生物学和生物信息学的免费 Python 工具。
DOI：
10.1093/bioinformatics/btp163
发表时间：
2009-06-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Cock PJ;Antao T;Chang JT;Chapman BA;Cox CJ;Dalke A;Friedberg I;Hamelryck T;Kauff F;Wilczynski B;de Hoon MJ
通讯作者：
de Hoon MJ
影响因子：
--
作者：
Griffith, CK;Miller, C;George, SC
通讯作者：
George, SC