| Literature DB >> 32393914 |
Christopher R Merritt1, Giang T Ong2, Sarah E Church2, Kristi Barker2, Patrick Danaher2, Gary Geiss2, Margaret Hoang2, Jaemyeong Jung2, Yan Liang2, Jill McKay-Fleisch2, Karen Nguyen2, Zach Norgaard2, Kristina Sorg2, Isaac Sprague2, Charles Warren2, Sarah Warren2, Philippa J Webster2, Zoey Zhou2, Daniel R Zollinger2, Dwayne L Dunaway2, Gordon B Mills3, Joseph M Beechem4.
Abstract
Digital Spatial Profiling (DSP) is a method for highly multiplex spatial profiling of proteins or RNAs suitable for use on formalin-fixed, paraffin-embedded (FFPE) samples. The approach relies on (1) multiplexed readout of proteins or RNAs using oligonucleotide tags; (2) oligonucleotide tags attached to affinity reagents (antibodies or RNA probes) through a photocleavable (PC) linker; and (3) photocleaving light projected onto the tissue sample to release PC oligonucleotides in any spatial pattern across a region of interest (ROI) covering 1 to ~5,000 cells. DSP is capable of single-cell sensitivity within an ROI using the antibody readout, with RNA detection feasible down to ~600 individual mRNA transcripts. We show spatial profiling of up to 44 proteins and 96 genes (928 RNA probes) in lymphoid, colorectal tumor and autoimmune tissues by using the nCounter system and 1,412 genes (4,998 RNA probes) by using next-generation sequencing (NGS). DSP may be used to profile not only proteins and RNAs in biobanked samples but also immune markers in patient samples, with potential prognostic and predictive potential for clinical decision-making.Entities:
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Year: 2020 PMID: 32393914 DOI: 10.1038/s41587-020-0472-9
Source DB: PubMed Journal: Nat Biotechnol ISSN: 1087-0156 Impact factor: 54.908