Literature DB >> 30353172

Barcoded solid-phase RNA capture for Spatial Transcriptomics profiling in mammalian tissue sections.

Fredrik Salmén1,2, Patrik L Ståhl3, Annelie Mollbrink1, José Fernández Navarro1, Sanja Vickovic1,4, Jonas Frisén5, Joakim Lundeberg6.   

Abstract

Spatial resolution of gene expression enables gene expression events to be pinpointed to a specific location in biological tissue. Spatially resolved gene expression in tissue sections is traditionally analyzed using immunohistochemistry (IHC) or in situ hybridization (ISH). These technologies are invaluable tools for pathologists and molecular biologists; however, their throughput is limited to the analysis of only a few genes at a time. Recent advances in RNA sequencing (RNA-seq) have made it possible to obtain unbiased high-throughput gene expression data in bulk. Spatial Transcriptomics combines the benefits of traditional spatially resolved technologies with the massive throughput of RNA-seq. Here, we present a protocol describing how to apply the Spatial Transcriptomics technology to mammalian tissue. This protocol combines histological staining and spatially resolved RNA-seq data from intact tissue sections. Once suitable tissue-specific conditions have been established, library construction and sequencing can be completed in ~5-6 d. Data processing takes a few hours, with the exact timing dependent on the sequencing depth. Our method requires no special instruments and can be performed in any laboratory with access to a cryostat, microscope and next-generation sequencing.

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Year:  2018        PMID: 30353172     DOI: 10.1038/s41596-018-0045-2

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  41 in total

1.  Spatial tissue profiling by imaging-free molecular tomography.

Authors:  Halima Hannah Schede; Christian G Schneider; Johanna Stergiadou; Lars E Borm; Anurag Ranjak; Tracy M Yamawaki; Fabrice P A David; Peter Lönnerberg; Maria Antonietta Tosches; Simone Codeluppi; Gioele La Manno
Journal:  Nat Biotechnol       Date:  2021-04-19       Impact factor: 54.908

Review 2.  Deciphering immune mechanisms in chronic inflammatory demyelinating polyneuropathies.

Authors:  Jolien Wolbert; Mandy I Cheng; Gerd Meyer zu Horste; Maureen A Su
Journal:  JCI Insight       Date:  2020-02-13

Review 3.  What has single-cell RNA-seq taught us about mammalian spermatogenesis?

Authors:  Shinnosuke Suzuki; Victoria D Diaz; Brian P Hermann
Journal:  Biol Reprod       Date:  2019-09-01       Impact factor: 4.285

4.  Singling out Th2 cells in eosinophilic esophagitis.

Authors:  Walter L Eckalbar; David J Erle
Journal:  J Clin Invest       Date:  2019-04-08       Impact factor: 14.808

5.  Spatiotemporal Dynamics of the Molecular Expression Pattern and Intercellular Interactions in the Glial Scar Response to Spinal Cord Injury.

Authors:  Leilei Gong; Yun Gu; Xiaoxiao Han; Chengcheng Luan; Chang Liu; Xinghui Wang; Yufeng Sun; Mengru Zheng; Mengya Fang; Shuhai Yang; Lai Xu; Hualin Sun; Bin Yu; Xiaosong Gu; Songlin Zhou
Journal:  Neurosci Bull       Date:  2022-07-05       Impact factor: 5.203

Review 6.  The emerging landscape of spatial profiling technologies.

Authors:  Jeffrey R Moffitt; Emma Lundberg; Holger Heyn
Journal:  Nat Rev Genet       Date:  2022-07-20       Impact factor: 59.581

Review 7.  Integrative Methods and Practical Challenges for Single-Cell Multi-omics.

Authors:  Anjun Ma; Adam McDermaid; Jennifer Xu; Yuzhou Chang; Qin Ma
Journal:  Trends Biotechnol       Date:  2020-03-26       Impact factor: 19.536

Review 8.  Single-cell RNA sequencing in cardiovascular development, disease and medicine.

Authors:  David T Paik; Sangkyun Cho; Lei Tian; Howard Y Chang; Joseph C Wu
Journal:  Nat Rev Cardiol       Date:  2020-03-30       Impact factor: 32.419

Review 9.  Exploring tissue architecture using spatial transcriptomics.

Authors:  Anjali Rao; Dalia Barkley; Gustavo S França; Itai Yanai
Journal:  Nature       Date:  2021-08-11       Impact factor: 49.962

Review 10.  Spatially resolved transcriptomics and its applications in cancer.

Authors:  Silas Maniatis; Joana Petrescu; Hemali Phatnani
Journal:  Curr Opin Genet Dev       Date:  2021-01-09       Impact factor: 5.578

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