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Seq-Scope Protocol: Repurposing Illumina Sequencing Flow Cells for High-Resolution Spatial Transcriptomics.
Kim, Yongsung; Cheng, Weiqiu; Cho, Chun-Seok; Hwang, Yongha; Si, Yichen; Park, Anna; Schrank, Mitchell; Hsu, Jer-En; Xi, Jingyue; Kim, Myungjin; Pedersen, Ellen; Koues, Olivia I; Wilson, Thomas; Jun, Goo; Kang, Hyun Min; Lee, Jun Hee.
Affiliation
  • Kim Y; Department of Molecular & Integrative Physiology, University of Michigan Medical School.
  • Cheng W; Department of Biostatistics, University of Michigan School of Public Health.
  • Cho CS; Department of Molecular & Integrative Physiology, University of Michigan Medical School.
  • Hwang Y; Department of Molecular & Integrative Physiology, University of Michigan Medical School.
  • Si Y; Space Planning and Analysis, University of Michigan Medical School.
  • Park A; Department of Biostatistics, University of Michigan School of Public Health.
  • Schrank M; Department of Molecular & Integrative Physiology, University of Michigan Medical School.
  • Hsu JE; Department of Molecular & Integrative Physiology, University of Michigan Medical School.
  • Xi J; Department of Molecular & Integrative Physiology, University of Michigan Medical School.
  • Kim M; Department of Biostatistics, University of Michigan School of Public Health.
  • Pedersen E; Department of Molecular & Integrative Physiology, University of Michigan Medical School.
  • Koues OI; Biomedical Research Core Facilities Advanced Genomics Core, University of Michigan.
  • Wilson T; Biomedical Research Core Facilities Advanced Genomics Core, University of Michigan.
  • Jun G; Biomedical Research Core Facilities Advanced Genomics Core, University of Michigan.
  • Kang HM; Department of Human Genetics, University of Michigan Medical School.
  • Lee JH; Department of Pathology, University of Michigan Medical School.
bioRxiv ; 2024 Apr 01.
Article in En | MEDLINE | ID: mdl-38617262
ABSTRACT
Spatial transcriptomics (ST) technologies represent a significant advance in gene expression studies, aiming to profile the entire transcriptome from a single histological slide. These techniques are designed to overcome the constraints faced by traditional methods such as immunostaining and RNA in situ hybridization, which are capable of analyzing only a few target genes simultaneously. However, the application of ST in histopathological analysis is also limited by several factors, including low resolution, a limited range of genes, scalability issues, high cost, and the need for sophisticated equipment and complex methodologies. Seq-Scope-a recently developed novel technology-repurposes the Illumina sequencing platform for high-resolution, high-content spatial transcriptome analysis, thereby overcoming these limitations. Here we provide a detailed step-by-step protocol to implement Seq-Scope with an Illumina NovaSeq 6000 sequencing flow cell that allows for the profiling of multiple tissue sections in an area of 7 mm × 7 mm or larger. In addition to detailing how to prepare a frozen tissue section for both histological imaging and sequencing library preparation, we provide comprehensive instructions and a streamlined computational pipeline to integrate histological and transcriptomic data for high-resolution spatial analysis. This includes the use of conventional software tools for single cell and spatial analysis, as well as our recently developed segmentation-free method for analyzing spatial data at submicrometer resolution. Given its adaptability across various biological tissues, Seq-Scope establishes itself as an invaluable tool for researchers in molecular biology and histology.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article