Your browser doesn't support javascript.
loading
Tissue RNA Integrity in Visium Spatial Protocol (Fresh Frozen Samples).
Antico, Federica; Gai, Marta; Arigoni, Maddalena.
Affiliation
  • Antico F; Molecular Biotechnology Center, University of Torino, Torino, Italy.
  • Gai M; Molecular Biotechnology Center, University of Torino, Torino, Italy.
  • Arigoni M; Molecular Biotechnology Center, University of Torino, Torino, Italy. maddalena.arigoni@unito.it.
Methods Mol Biol ; 2584: 191-203, 2023.
Article in En | MEDLINE | ID: mdl-36495450
ABSTRACT
The transcriptome of a tissue can be acquired both by single-cell RNAseq (scRNA-seq) and by spatial transcriptomics (ST). The dissociation step, which is mandatory in scRNA-seq methods, might lead to the loss of fragile cells and of spatial information, thus limiting the acquisition of the tissue cellular organization. Spatial transcriptomics methods moderate the above-mentioned issues and provide single-cell transcripts detection over an intact fresh frozen tissue section. Visium platform, commercialized from 10× Genomics, provides a whole transcriptome spatial transcriptomics platform, which does not require dedicated instruments, other than those available in any pathology laboratory. In spatial transcriptomics, proper tissue handling is mandatory to preserve the morphological quality of the tissue sections and the integrity of mRNA transcripts. Proper tissue handling is critical for downstream library preparation and sequencing performance. In this chapter, we describe the most critical steps of Visium protocol on fresh frozen tissues and we provide indications on how to interpret the data obtained from the quality control analysis recommended during the workflow.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA / Gene Expression Profiling Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA / Gene Expression Profiling Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Type: Article Affiliation country: Italy