Ying Zhou , Qinyu Ge , Moxin Li , Ting Qi , Zhihui Li , Yuqi Sheng , Min Pan , Quanjun Liu , Xiangwei Zhao , Zuhong Lu
{"title":"基于稳健和低成本靶组织捕获的全长空间转录组策略","authors":"Ying Zhou , Qinyu Ge , Moxin Li , Ting Qi , Zhihui Li , Yuqi Sheng , Min Pan , Quanjun Liu , Xiangwei Zhao , Zuhong Lu","doi":"10.1016/j.bios.2025.118018","DOIUrl":null,"url":null,"abstract":"<div><div>Smart-seq2, a widely used method for constructing full-length mRNA transcriptome libraries, can be combined with target tissue capture techniques such as Laser Capture Microdissection (LCM) to achieve robust spatial transcriptomic profiling. However, both Smart-seq2 and LCM are limited by high costs and complex operation, hindering their broader adoption. Here, we report a full-length spatial transcriptome strategy based on a robust and cost-effective tissue capture technique, termed MSN-seq. MSN-seq integrates microneedle-based sampling with a modified Smart-seq2 protocol. This method captures multi-cellular tissue spots and not only optimises Smart-seq2 for enhanced performance but also leverages reusable steel needles to further reduce costs and improve transcriptomic capture efficiency. In addition to simplifying experimental procedures, MSN-seq increases accessibility by enabling spatial transcriptomic analysis without requiring specialised skills or expensive instrumentation. We applied MSN-seq to brain and retinal tissues from models of Parkinson's disease and retinal degeneration, demonstrating its effectiveness in capturing spatial transcriptomic data. Furthermore, application of MSN-seq to frozen sections from U251 glioblastoma model mice revealed early invasive mechanisms and spatially restricted enrichment of immune cell subsets. Overall, MSN-seq provides a low-cost, easy-to-use, and highly efficient strategy for acquiring spatial transcriptome data.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"291 ","pages":"Article 118018"},"PeriodicalIF":10.5000,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Full-length spatial transcriptome strategy based on robust and low-cost target tissue capture\",\"authors\":\"Ying Zhou , Qinyu Ge , Moxin Li , Ting Qi , Zhihui Li , Yuqi Sheng , Min Pan , Quanjun Liu , Xiangwei Zhao , Zuhong Lu\",\"doi\":\"10.1016/j.bios.2025.118018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Smart-seq2, a widely used method for constructing full-length mRNA transcriptome libraries, can be combined with target tissue capture techniques such as Laser Capture Microdissection (LCM) to achieve robust spatial transcriptomic profiling. However, both Smart-seq2 and LCM are limited by high costs and complex operation, hindering their broader adoption. Here, we report a full-length spatial transcriptome strategy based on a robust and cost-effective tissue capture technique, termed MSN-seq. MSN-seq integrates microneedle-based sampling with a modified Smart-seq2 protocol. This method captures multi-cellular tissue spots and not only optimises Smart-seq2 for enhanced performance but also leverages reusable steel needles to further reduce costs and improve transcriptomic capture efficiency. In addition to simplifying experimental procedures, MSN-seq increases accessibility by enabling spatial transcriptomic analysis without requiring specialised skills or expensive instrumentation. We applied MSN-seq to brain and retinal tissues from models of Parkinson's disease and retinal degeneration, demonstrating its effectiveness in capturing spatial transcriptomic data. Furthermore, application of MSN-seq to frozen sections from U251 glioblastoma model mice revealed early invasive mechanisms and spatially restricted enrichment of immune cell subsets. Overall, MSN-seq provides a low-cost, easy-to-use, and highly efficient strategy for acquiring spatial transcriptome data.</div></div>\",\"PeriodicalId\":259,\"journal\":{\"name\":\"Biosensors and Bioelectronics\",\"volume\":\"291 \",\"pages\":\"Article 118018\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2025-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosensors and Bioelectronics\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0956566325008942\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosensors and Bioelectronics","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0956566325008942","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOPHYSICS","Score":null,"Total":0}
Full-length spatial transcriptome strategy based on robust and low-cost target tissue capture
Smart-seq2, a widely used method for constructing full-length mRNA transcriptome libraries, can be combined with target tissue capture techniques such as Laser Capture Microdissection (LCM) to achieve robust spatial transcriptomic profiling. However, both Smart-seq2 and LCM are limited by high costs and complex operation, hindering their broader adoption. Here, we report a full-length spatial transcriptome strategy based on a robust and cost-effective tissue capture technique, termed MSN-seq. MSN-seq integrates microneedle-based sampling with a modified Smart-seq2 protocol. This method captures multi-cellular tissue spots and not only optimises Smart-seq2 for enhanced performance but also leverages reusable steel needles to further reduce costs and improve transcriptomic capture efficiency. In addition to simplifying experimental procedures, MSN-seq increases accessibility by enabling spatial transcriptomic analysis without requiring specialised skills or expensive instrumentation. We applied MSN-seq to brain and retinal tissues from models of Parkinson's disease and retinal degeneration, demonstrating its effectiveness in capturing spatial transcriptomic data. Furthermore, application of MSN-seq to frozen sections from U251 glioblastoma model mice revealed early invasive mechanisms and spatially restricted enrichment of immune cell subsets. Overall, MSN-seq provides a low-cost, easy-to-use, and highly efficient strategy for acquiring spatial transcriptome data.
期刊介绍:
Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.