WeChat Mini Program
Old Version Features

Preparation and Characterization of LGR5 LOOP Region-Specific Nanobodies

Li Jia, Huarui Qiao, Yuting Ding, Qianqian Cui, Yingjun Wang, Jing Geng, Junming Tang,Jianfeng Xu,Yuanyuan Dai,Yong Geng

Protein Expression and Purification(2025)

College of food science and Technology

Cited 0|Views3
Abstract
Leucine-rich repeat-containing G-protein-coupled receptor 5 (LGR5), also known as G-protein-coupled receptor 49 (GPR49), is a class A G-protein-coupled receptor (GPCR) that plays a pivotal role in embryonic development and functions as a marker for adult stem cells in various tissues and organs. LGR5 possesses a large extracellular domain (ecto-domain) enriched with leucine-rich repeats (LRR), primarily responsible for binding to ligands such as R-spondins. The C-terminal LRR extracellular LOOP region of LGR5 refers to the loop structure connecting the C-terminus of LGR5 to the first transmembrane helix. As the LOOP region is located extracellularly, it is readily accessible to exogenous molecules such as antibodies, nanobodies, or small-molecule drugs. The LOOP region of LGR5 modulates receptor conformational changes, thereby influencing signal transduction and contributing to the regulation of cellular functions. In this study, we successfully expressed and purified the LGR5 LOOP region protein in a prokaryotic expression system. The purified protein was subsequently used as an antigen to immunize camels, leading to the generation of specific nanobodies. These nanobodies are composed solely of the variable domain of the heavy-chain antibody (VHH), with a molecular weight of approximately 15 kDa, and exhibit excellent stability. Using the purified LGR5 LOOP region protein as an antigen, we isolated nanobodies that specifically bind to it. Subsequent assays demonstrated that the selected nanobody, NB 4C4 and NB 3E8, exhibited high affinity for the antigen and specifically targeted the LGR5 LOOP region, effectively inhibited β-catenin-mediated Wnt signaling exhibited an inhibitory effect on β-catenin-mediated Wnt signaling to a certain extent. This study provides substantial evidence insights for the development of LGR5-targeted diagnostic reagents and antibody-based therapeutic strategies.
More
Translated text
Key words
LGR5,Nanobody,Wnt signaling,Topflash
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined