Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2022 Aug 10;608(7924):766–777. doi: 10.1038/s41586-022-05060-x

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s), under exclusive licence to Springer Nature Limited 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

PMC Copyright notice

Extended Data Fig. 1 — a, Schematic of the computational workflow for the main analyses of snRNA-seq, snATAC-seq, and spatial transcriptomics data. b, UMAP embedding of snRNA-seq data from all samples for patients, regions, and clusters. c, UMAP embedding of snRNA-seq data showing G2-M-phase cell-cycle score (left) and S-phase score (right). d, Barplots showing cell-type proportions of snRNA-seq data across all samples. Colours indicate different major cell types. e, Comparison of the generated snRNA-seq atlas to a previously published human heart cell atlas (HCA) for molecular profiles (left) and cell-type proportion (right). Left panel shows the adjusted P-value of the overlap of top gene markers of each cell-type between the different data sets (hypergeometric test). Right panel shows the Pearson correlation between the median proportion of each shared cell-type of the reference atlas and our control, border zone, and remote zone samples. f, UMAP embedding and annotation of an external dataset of three ischaemic zone samples following MI. g, Comparison of the generated snRNA-seq atlas to the external ischaemic data for molecular profiles (left) and cell-type proportion (right). Left panel shows the adjusted P-value of the overlap of top gene markers of each cell-type between the different data sets (hypergeometric test). Right panel shows the Pearson correlation between the median proportion of each shared cell-type of the external data set and our ischaemic samples.