A Molecular Logic Gate Enables Unconventional Super-resolution Same-Day Imaging of Lysosome Membrane in Live Cells
ANALYTICAL CHEMISTRY(2024)
Dongguan Univ Technol
Abstract
Lysosomes are acidic membrane-bound organelles that aid digestion, excretion, and cell renewal. The lysosomal membranes are essential for maintaining lysosomal functions and cellular homeostasis. In this work, we developed a molecular "NOR" logic gate, SIATFluor-580L, by introducing malachite green into the spirocyclic rhodamine. SIATFluor-580L requires restriction of molecular rotation of the malachite green motif (Input 1, tight membrane structure) and a large amount of H+ ions to convert the spirocyclic rhodamine into the zwitterionic form (Input 2, acidic environment) to produce a fluorescent product (Output), providing a fluorogenic probe to visualize the lysosomal membrane dynamics in living cells with subdiffraction resolution by using HyVolution (also known as Lightning), an unconventional and inexpensive super-resolution imaging approach based on a basic confocal optical system.
MoreTranslated text
求助PDF
上传PDF
View via Publisher
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