Study
Spatial multi-omic map of human myocardial infarction
Study ID | Alternative Stable ID | Type |
---|---|---|
EGAS00001006330 | Other |
Study Description
Myocardial infarction is a leading cause of mortality worldwide 1 . While advances have been made
in acute treatment, an incomplete understanding of remodelling processes has limited the
effectiveness of therapies to reduce late-stage mortality 2 . Here, we generate an integrative high-
resolution map of human cardiac remodelling after myocardial infarction using single-cell gene
expression, chromatin accessibility, and spatial transcriptomic profiling of multiple physiological
zones at distinct time points in myocardium from myocardial infarction and control patients.
Multimodal data integration allowed us to evaluate cardiac cell-type compositions at increased
resolution, yielding insights into changes of the cardiac transcriptome and epigenome through the
identification of distinct tissue structures of injury, repair and remodelling. We identified and
validated disease-specific cardiac cell-states of major cell-types and analysed them in their spatial
context, evaluating their dependency on other cell-types. Our data elucidates molecular principles
of human myocardial tissue ... (Show More)
Study Datasets 1 dataset.
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
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EGAD00001008952 |
We applied an integrative single-cell genomics strategy with single nucleus RNA sequencing (snRNA-seq) and single nucleus Assay for Transposase-Accessible Chromatin sequencing (snATAC-seq) together with spatial transcriptomics from the same tissue mapping human cardiac cells in homeostasis and after myocardial infarction (MI) at unprecedented spatial and molecular resolution. We profiled in total 31 samples from 23 patients including four non-transplanted donor hearts as controls and samples ... (Show More)
|
Illumina NovaSeq 6000 | 27 |
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