Templated Pluripotent Stem Cell Differentiation via Substratum-Guided Artificial Signaling.

IF 5.4 2区 医学 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Biomaterials Science & Engineering Pub Date : 2024-10-01 DOI:10.1021/acsbiomaterials.4c00885
Hannah J Brien, Joanne C Lee, Jhanvi Sharma, Catherine A Hamann, Madeline R Spetz, Ethan S Lippmann, Jonathan M Brunger
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Abstract

The emerging field of synthetic morphogenesis implements synthetic biology tools to investigate the minimal cellular processes sufficient for orchestrating key developmental events. As the field continues to grow, there is a need for new tools that enable scientists to uncover nuances in the molecular mechanisms driving cell fate patterning that emerge during morphogenesis. Here, we present a platform that combines cell engineering with biomaterial design to potentiate artificial signaling in pluripotent stem cells (PSCs). This platform, referred to as PSC-MATRIX, extends the use of programmable biomaterials to PSCs competent to activate morphogen production through orthogonal signaling, giving rise to the opportunity to probe developmental events by initiating morphogenetic programs in a spatially constrained manner through non-native signaling channels. We show that the PSC-MATRIX platform enables temporal and spatial control of transgene expression in response to bulk, soluble inputs in synthetic Notch (synNotch)-engineered human PSCs for an extended culture of up to 11 days. Furthermore, we used PSC-MATRIX to regulate multiple differentiation events via material-mediated artificial signaling in engineered PSCs using the orthogonal ligand green fluorescent protein, highlighting the potential of this platform for probing and guiding fate acquisition. Overall, this platform offers a synthetic approach to interrogate the molecular mechanisms driving PSC differentiation that could be applied to a variety of differentiation protocols.

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通过基底引导的人工信号进行模板化多能干细胞分化
新兴的合成形态发生领域采用合成生物学工具来研究足以协调关键发育事件的最基本细胞过程。随着这一领域的不断发展,科学家们需要新的工具来揭示形态发生过程中出现的细胞命运模式化分子机制的细微差别。在这里,我们展示了一个将细胞工程与生物材料设计相结合的平台,以增强多能干细胞(PSCs)中的人工信号传导。这一平台被称为PSC-MATRIX,它将可编程生物材料的使用扩展到了能够通过正交信号激活形态发生的多能干细胞,从而有机会通过非本地信号渠道以空间受限的方式启动形态发生程序,从而探究发育事件。我们的研究表明,PSC-MATRIX 平台能根据合成诺奇(synNotch)工程人 PSC 的大量可溶性输入,对转基因表达进行时间和空间控制,延长培养时间长达 11 天。此外,我们还利用 PSC-MATRIX 通过正交配体绿色荧光蛋白在工程化造血干细胞中进行材料介导的人工信号传导来调控多种分化事件,凸显了这一平台在探测和指导命运获得方面的潜力。总之,该平台提供了一种合成方法来探究驱动造血干细胞分化的分子机制,可应用于各种分化方案。
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来源期刊
ACS Biomaterials Science & Engineering
ACS Biomaterials Science & Engineering Materials Science-Biomaterials
CiteScore
10.30
自引率
3.40%
发文量
413
期刊介绍: ACS Biomaterials Science & Engineering is the leading journal in the field of biomaterials, serving as an international forum for publishing cutting-edge research and innovative ideas on a broad range of topics: Applications and Health – implantable tissues and devices, prosthesis, health risks, toxicology Bio-interactions and Bio-compatibility – material-biology interactions, chemical/morphological/structural communication, mechanobiology, signaling and biological responses, immuno-engineering, calcification, coatings, corrosion and degradation of biomaterials and devices, biophysical regulation of cell functions Characterization, Synthesis, and Modification – new biomaterials, bioinspired and biomimetic approaches to biomaterials, exploiting structural hierarchy and architectural control, combinatorial strategies for biomaterials discovery, genetic biomaterials design, synthetic biology, new composite systems, bionics, polymer synthesis Controlled Release and Delivery Systems – biomaterial-based drug and gene delivery, bio-responsive delivery of regulatory molecules, pharmaceutical engineering Healthcare Advances – clinical translation, regulatory issues, patient safety, emerging trends Imaging and Diagnostics – imaging agents and probes, theranostics, biosensors, monitoring Manufacturing and Technology – 3D printing, inks, organ-on-a-chip, bioreactor/perfusion systems, microdevices, BioMEMS, optics and electronics interfaces with biomaterials, systems integration Modeling and Informatics Tools – scaling methods to guide biomaterial design, predictive algorithms for structure-function, biomechanics, integrating bioinformatics with biomaterials discovery, metabolomics in the context of biomaterials Tissue Engineering and Regenerative Medicine – basic and applied studies, cell therapies, scaffolds, vascularization, bioartificial organs, transplantation and functionality, cellular agriculture
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