A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options
Abstract Spatial transcriptomics technology enables the mapping of gene expression within tissues, allowing researchers to visualize the spatial distribution of RNA molecules and gain insights into cellular organization, interactions, and functions in their native environments. A variety of spatial...
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BMC
2025-01-01
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| Series: | BMC Genomics |
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| Online Access: | https://doi.org/10.1186/s12864-025-11235-3 |
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| author | Hyun Ju Lim Ye Wang Anton Buzdin Xinmin Li |
| author_facet | Hyun Ju Lim Ye Wang Anton Buzdin Xinmin Li |
| author_sort | Hyun Ju Lim |
| collection | DOAJ |
| description | Abstract Spatial transcriptomics technology enables the mapping of gene expression within tissues, allowing researchers to visualize the spatial distribution of RNA molecules and gain insights into cellular organization, interactions, and functions in their native environments. A variety of spatial technologies are now commercially available, each offering distinct technical parameters such as cellular resolution, detection sensitivity, gene coverage, and throughput. This wide range of options can make it challenges or create confusion for researchers to select the most appropriate platform for their specific research objectives. In this paper, we will analyze and compare seven major commercially available spatial platforms to guide researchers in choosing the most suitable option for their needs. |
| format | Article |
| id | doaj-art-17368d0ff47f462887fce485b15333d0 |
| institution | Kabale University |
| issn | 1471-2164 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genomics |
| spelling | doaj-art-17368d0ff47f462887fce485b15333d02025-01-26T12:16:41ZengBMCBMC Genomics1471-21642025-01-0126111010.1186/s12864-025-11235-3A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available optionsHyun Ju Lim0Ye Wang1Anton Buzdin2Xinmin Li3UCLA Technology Center for Genomics & Bioinformatics, Department of Pathology & Laboratory MedicineClinical Laboratory, The Affiliated Qingdao Central Hospital of Medical College of Qingdao UniversityWorld-Class Research Center “Digital biodesign and personalized healthcare”, I.M. Sechenov First Moscow State Medical UniversityUCLA Technology Center for Genomics & Bioinformatics, Department of Pathology & Laboratory MedicineAbstract Spatial transcriptomics technology enables the mapping of gene expression within tissues, allowing researchers to visualize the spatial distribution of RNA molecules and gain insights into cellular organization, interactions, and functions in their native environments. A variety of spatial technologies are now commercially available, each offering distinct technical parameters such as cellular resolution, detection sensitivity, gene coverage, and throughput. This wide range of options can make it challenges or create confusion for researchers to select the most appropriate platform for their specific research objectives. In this paper, we will analyze and compare seven major commercially available spatial platforms to guide researchers in choosing the most suitable option for their needs.https://doi.org/10.1186/s12864-025-11235-3Spatial transcriptomicsRNA sequencing10X Visium10X visium HDGeoMx DSPCosMx SMI |
| spellingShingle | Hyun Ju Lim Ye Wang Anton Buzdin Xinmin Li A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options BMC Genomics Spatial transcriptomics RNA sequencing 10X Visium 10X visium HD GeoMx DSP CosMx SMI |
| title | A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options |
| title_full | A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options |
| title_fullStr | A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options |
| title_full_unstemmed | A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options |
| title_short | A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options |
| title_sort | practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options |
| topic | Spatial transcriptomics RNA sequencing 10X Visium 10X visium HD GeoMx DSP CosMx SMI |
| url | https://doi.org/10.1186/s12864-025-11235-3 |
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