Computational DNA Droplets Recognizing miRNA Sequence Inputs Based on Liquid–Liquid Phase Separation-Reference-Cited by-同舟云学术

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Computational DNA Droplets Recognizing miRNA Sequence Inputs Based on Liquid–Liquid Phase Separation

Published:2022-05-12 Issue:37 Volume:32 Page:2202322
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv Funct Materials

Author:

Gong Jing¹,Tsumura Nozomi²,Sato Yusuke³⁴^ORCID,Takinoue Masahiro¹²⁴^ORCID

Affiliation:

1. Department of Life Science and Technology Tokyo Institute of Technology Kanagawa 226–8502 Japan

2. Department of Systems and Control Engineering Tokyo Institute of Technology Kanagawa 226–8502 Japan

3. Frontier Research Institute for Interdisciplinary Sciences Tohoku University Sendai 980–8578 Japan

4. Department of Computer Science Tokyo Institute of Technology Kanagawa 226–8502 Japan

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202202322

Reference42 articles.

1. Stress-Triggered Phase Separation Is an Adaptive, Evolutionarily Tuned Response

2. Considerations and Challenges in Studying Liquid-Liquid Phase Separation and Biomolecular Condensates

3. Liquid–liquid phase separation in artificial cells

4. Salt-dependent properties of a coacervate-like, self-assembled DNA liquid

5. Enzymatic degradation of liquid droplets of DNA is modulated near the phase boundary

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