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High-plex Multiomic Analysis in FFPE at Subcellular Level by Spatial Molecular Imaging

Authors :
Shanshan He
Ruchir Bhatt
Carl Brown
Emily A. Brown
Derek L. Buhr
Kan Chantranuvatana
Patrick Danaher
Dwayne Dunaway
Ryan G. Garrison
Gary Geiss
Mark T. Gregory
Margaret L. Hoang
Rustem Khafizov
Emily E. Killingbeck
Dae Kim
Tae Kyung Kim
Youngmi Kim
Andrew Klock
Mithra Korukonda
Alecksandr Kutchma
Zachary R. Lewis
Yan Liang
Jeffrey S. Nelson
Giang T. Ong
Evan P. Perillo
Joseph C. Phan
Tien Phan-Everson
Erin Piazza
Tushar Rane
Zachary Reitz
Michael Rhodes
Alyssa Rosenbloom
David Ross
Hiromi Sato
Aster W. Wardhani
Corey A. Williams-Wietzikoski
Lidan Wu
Joseph M. Beechem
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

The Spatial Molecular Imaging platform (CosMxTM SMI, NanoString Technologies, Seattle, WA) utilizes high-plex in-situ imaging chemistry for both RNA and protein detection. This automated instrument provides 1000’s of plex, at high sensitivity (1 to 2 copies/cell), very low error rate (0.0092 false calls/cell) and background (∼0.04 counts/cell). The imaging system generates three-dimensional super-resolution localization of analytes at ∼2 million cells per sample, four samples per run. Cell segmentation is morphology-based using antibodies, compatible with FFPE samples. Multiomic data (980 RNAs, 108 proteins) were measured at subcellular resolution using FFPE tissues (non-small cell lung (NSCLC) and breast cancer) and allowed identification of over 18 distinct cell types, 10 unique tumor microenvironments, and 100 pairwise ligand-receptor interactions. Over 800,000 single cells and ∼260 million transcripts data are released into the public domain allowing extended data analysis by the entire spatial biology research community.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........c63eed1be671eeea583cad189d792534
Full Text :
https://doi.org/10.1101/2021.11.03.467020