The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy
Open accessAbstract
Heart failure encompasses a heterogeneous set of clinical features that converge on impaired cardiac contractile function 1,2 and presents a growing public health concern. Previous work has highlighted changes in both transcription and protein expression in failing hearts 3,4, but may overlook molecular changes in less prevalent cell types. Here we identify extensive molecular alterations in failing hearts at single-cell resolution by performing single-nucleus RNA sequencing of nearly 600,000 nuclei in left ventricle samples from 11 hearts with dilated cardiomyopathy and 15 hearts with hypertrophic cardiomyopathy as well as 16 non-failing hearts. The transcriptional profiles of dilated or hypertrophic cardiomyopathy hearts broadly converged at the tissue and cell-type level. Further, a subset of hearts from patients with cardiomyopathy harbour a unique population of activated fibroblasts that is almost entirely absent from non-failing samples. We performed a CRISPR-knockout screen in primary human cardiac fibroblasts to evaluate this fibrotic cell state transition; knockout of genes associated with fibroblast transition resulted in a reduction of myofibroblast cell-state transition upon TGFβ1 stimulation for a subset of genes. Our results provide insights into the transcriptional diversity of the human heart in health and disease as well as new potential therapeutic targets and biomarkers for heart failure.
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“However, they did not identify human cardiac fibroblast populations that drive fibrosis.”
From Targeting the Immune-Fibrosis Axis in Myocardial Infarction and Heart Failure (2022) · cites this paper as [20]
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“However, these studies rely on nuclear RNA information and lack cellular transcriptomic, epigenetic and proteomic profiling information necessary to obtain a granular picture of the precise immune and fibroblast populations that emerge in the failing human heart and collaborate to drive cardiac fibrosis.”
From Targeting immune–fibroblast cell communication in heart failure (2024) · cites this paper as [19]
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“By contrast, cultured human primary cardiac and dermal fibroblasts and immortalized cardiac fibroblasts were relatively poor models of human cardiac fibroblast diversity under resting or stimulated (TGFβ (refs. 19,39,40), IL-1β (ref. 41)) conditions.”
From Targeting immune–fibroblast cell communication in heart failure (2024) · cites this paper as [19]
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“While numerous studies have implicated a role for TGFβ signaling in maladaptive cardiac remodeling and scar formation in HF 20,33”
From Targeting the Immune-Fibrosis Axis in Myocardial Infarction and Heart Failure (2022) · cites this paper as [20]
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“Numerous single-nucleus RNA sequencing (snRNA-seq) studies have investigated the healthy and failing human heart18–22.”
From Targeting immune–fibroblast cell communication in heart failure (2024) · cites this paper as [19]
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“Numerous single-nucleus (snRNA-seq) and single-cell RNA sequencing (scRNA-seq) studies have profiled the healthy human and failing human heart 19-23 and observed expansion of immune cells 21 and fibroblast diversification in the failing heart 20,23 .”
From Targeting the Immune-Fibrosis Axis in Myocardial Infarction and Heart Failure (2022) · cites this paper as [20]
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“These human cell atlases have provided new insights into the cellular landscape of HF and identified unexpected cell diversity within the stromal compartment.”
From Targeting the Immune-Fibrosis Axis in Myocardial Infarction and Heart Failure (2022) · cites this paper as [20]
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“In contrast, primary human cardiac fibroblasts, primary human dermal fibroblasts, and immortalized human cardiac fibroblasts were relatively poor models of human cardiac fibroblast diversity under resting or stimulated (TGFβ 20,33,34 , IL-1 β 35 ) conditions.”
From Targeting the Immune-Fibrosis Axis in Myocardial Infarction and Heart Failure (2022) · cites this paper as [20]
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“First, we fine-tuned Geneformer to distinguish cardiomyocytes35 from non-failing hearts (n=9) or hearts affected by hypertrophic (n=11) or dilated (n=9) cardiomyopathy with an overall out-of-sample accuracy of 90% (Fig. 6b, Extended Data Fig. 10a).”
From Transfer learning enables predictions in network biology (2023) · cites this paper as [35]
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“An example of this issue could arise for cardiomyocytes, which are very large cells that generate a significantly greater number of RNA-Seq reads than other cell types in the heart [44, 45].”
From Benchmarking of computational demultiplexing methods for single-nucleus RNA sequencing data (2025) · cites this paper as [44]
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Metadata
- Authors
- Chaffin, M., Papangeli, I., Simonson, B., Akkad, A.-D., Hill, M. C., Arduini, A., Fleming, S. J., Melanson, M., Hayat, S., Kost-Alimova, M., Atwa, O., Ye, J., Bedi, K. C., Nahrendorf, M., Kaushik, V. K., Stegmann, C. M., Margulies, K. B., Tucker, N. R., & Ellinor, P. T.
- Affiliations
- Broad Institute (US)
- University of Pennsylvania (US)
- Massachusetts General Hospital (US)
- Masonic Medical Research Laboratory (US)
- Corresponding author
- Ellinor, Patrick T.
- ORCID
- Venue
- Nature
- Published
- 2022-06-22
- Volume
- 608
- Issue
- 7921
- Pages
- 174-180
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC12591363
- OpenAlex
- W4283257569
- Cited by
- 418
- References
- 61
- Citations by year
- 2026: 110 · 2025: 120 · 2024: 100 · 2023: 67 · 2022: 19
- FWCI
- 54.31
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- American Heart Association
- National Institutes of Health (1s10od026839-01)
- National Heart, Lung, and Blood Institute (K01HL140187, R01HL128914, R01HL105993, K24HL105780, R01HL092577, T32HL007208)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Fibrosis and Remodeling
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiomyopathy and Myosin Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- dilated cardiomyopathy, hypertrophic cardiomyopathy, heart failure, single-nucleus RNA sequencing, cardiac fibroblasts, myofibroblast differentiation, myocardial fibrosis, TGF-β1 signaling, CRISPR knockout screen, cardiac transcriptome, left ventricle, biomarkers, therapeutic target
- MeSH terms
- RNA-Seq, Cardiomyopathy, Dilated, Cardiomyopathy, Hypertrophic, Cell Nucleus, Cells, Cultured, Heart Failure, Heart Ventricles, Humans, Myocardium, Transcription, Genetic, Case-Control Studies, Gene Expression Profiling, Transforming Growth Factor beta1, Gene Knockout Techniques, Myofibroblasts, Single-Cell Analysis, CRISPR-Cas Systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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