Linjie Guo

Linjie Guo

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 August 2024 in Journal of the American Chemical Society
Verified
Journal Article
Closed access
YZYan Zhao
Yan Zhao
JHJunjun Hou
Junjun Hou
LGLinjie Guo
Linjie Guo
SZShitai Zhu
Shitai Zhu
XHXiaoling Hou
Xiaoling Hou
YZYing Zhu
Ying Zhu

19 September 2024 in Nano Letters
Verified
Journal Article
Closed access
ZGZhaoshuai Gao
Zhaoshuai Gao
SHShangguo Hou
Shangguo Hou
SDSuhui Deng
Suhui Deng
LLLe Liang
Le Liang
FWFei Wang
Fei Wang
CFChunhai Fan
Chunhai Fan

27 June 2023 in Chemosensors
Verified
Journal Article
Open access
PDF file
Yue WangYue Wang
Yue Wang
LRLei Ren
Lei Ren
HPHongzhen Peng
Hongzhen Peng
LGLinjie Guo
Linjie Guo
LWLihua Wang
Lihua Wang
Molecular recognition based on non-covalent interactions between two or more molecules plays a crucial role in biological systems. Specific biological molecule recognition has been widely applied in biotechnology, clinical diagnosis, and treatment. The efficiency and affinity of molecular recognition are greatly determined by the spatial conformation of biomolecules. The designability of DNA nanotechnology makes possible the precise programming of the spatial conformation of biomolecules including valency and spacing, further achieving spatial pattern recognition regulation between biomolecules. This review summarizes recent achievements with DNA-based molecular spatial pattern recognition systems, the important factors affecting spatial pattern recognition, and their applications in biosensing, bioimaging, and targeted therapy. The future challenges in and development of this field are discussed and prospected. This review will provide valuable guidance for the creation of new DNA tools to enhance the efficiency and specificity of biomolecular recognition.

27 March 2025 in JACS Au
Verified
Journal Article
Open access
YWYue Wang
Yue Wang
BWBiancheng Wei
Biancheng Wei
QXQinglin Xia
Qinglin Xia
LRLei Ren
Lei Ren
BLBin Li
Bin Li
Jiang LiJiang Li
Jiang Li
DNA origami technology has shown potential across various applications, including the construction of molecular machines. Among these, mimicking the complex structural transitions of natural biomolecules in physiological environments remains a long-standing pursuit. Here, inspired by intrinsically disordered proteins, we propose a strategy for inducing disorder-to-order transitions in DNA origami structures at room temperature using alternative component subsets. In a triangular DNA origami model, we define three subsets of its constitutional DNA staples based on their spatial distributions along the scaffold. Atomic force microscopy and molecular dynamics simulations show that the individual subsets result in metastable assemblies with disordered morphologies and elevated free-energy fluctuations compared with those generated by the complete set of staples. Notably, after the addition of the remaining staples, the irregular structures transform into ordered triangular architectures within 2 h at room temperature, achieving yields of up to ∼60%. These findings suggest that these controlled folding pathways in DNA origami can robustly converge on the global energy minimum at room temperature, thereby providing a promising alternative strategy for engineering biomimetic DNA molecular machines.

1 April 2025 in ACS Applied Bio Materials
Verified
Journal Article
Closed access
MZMo Zhou
Mo Zhou
HPHongzhen Peng
Hongzhen Peng
SLShihua Luo
Shihua Luo
KJKai Jiao
Kai Jiao
LGLinjie Guo
Linjie Guo
Jiang LiJiang Li
Jiang Li

25 February 2026 in Nanoscale Advances
Verified
Journal Article
Open access
PDF file
LLLixuan Lin
Lixuan Lin
KLKaiyi Liang
Kaiyi Liang
XGXiuli Gao
Xiuli Gao
JLJiang Li
Jiang Li
LGLinjie Guo
Linjie Guo
LWLihua Wang
Lihua Wang
A dynamic six‑helix DNA nanomachine enables reversible conformational switching across a broad physiological pH window (5–9), establishing a quantitative performance benchmark for designing dynamic DNA devices in complex biological environments.