High-resolution Alignment of Single-cell and Spatial Transcriptomes with CytoSPACE

Overview

Journal Nat Biotechnol

Specialty Biotechnology

Date 2023 Mar 6

PMID 36879008

Authors

Milad R Vahid

Erin L Brown

Chloe B Steen

Wubing Zhang

Hyun Soo Jeon

Minji Kang

Andrew J Gentles

Aaron M Newman

Affiliations

Soon will be listed here.

Abstract

Recent studies have emphasized the importance of single-cell spatial biology, yet available assays for spatial transcriptomics have limited gene recovery or low spatial resolution. Here we introduce CytoSPACE, an optimization method for mapping individual cells from a single-cell RNA sequencing atlas to spatial expression profiles. Across diverse platforms and tissue types, we show that CytoSPACE outperforms previous methods with respect to noise tolerance and accuracy, enabling tissue cartography at single-cell resolution.

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