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438
datasets available to search
ShareScore release 0.9.0
Dataset results
438 results for “hypertrophy”
Genome-wide mapping of Yap1 in the normal and hypertrophied hearts
GEO Series GSE115294. Mus musculus. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Pharmacological inhibition of the MAPK pathway ameliorates RIT1M90I-driven cardiac tissue hypertrophy.
GEO Series GSE207187. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Smad4 deficiency impairs chondrocyte hypertrophy via the Runx2 transcription factor in mouse skeletal development [ChIP-seq]
GEO Series GSE114081. Mus musculus. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Divergent Gene Expression through PI3K/Akt Signaling Pathway Cause Different Models of Hypertrophy Growth in Chicken
GEO Series GSE132299. Gallus gallus. 4 samples. Type: Expression profiling by high throughput sequencing.
YAP dysregulation triggers hypertrophy by CCN2 secretion and TGFβ uptake in human pluripotent stem cell-derived cardiomyocytes
GEO Series GSE261296. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Targeted deletion of Tcf7l2 in adipocytes promotes adipocyte hypertrophy and impaired gluose metabolism [ChIP-seq]
GEO Series GSE129403. Mus musculus. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Cpxm2 as a novel candidate for cardiac hypertrophy and failure in hypertension
GEO Series GSE154327. Mus musculus; Rattus norvegicus. 33 samples. Type: Expression profiling by array.
miRNA atlas of hypertrophy progression in a murine TAC model of experimental Hypertrophy
GEO Series GSE66974. synthetic construct; Mus musculus. 15 samples. Type: Non-coding RNA profiling by array.
Expression data of murine model of cardiac hypertrophy
GEO Series GSE26671. Mus musculus. 12 samples. Type: Expression profiling by array.
Expression profiles of plasma transfer RNA-derived small RNAs in patients with pathological cardiac hypertrophy
GEO Series GSE220617. Homo sapiens. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Cardiac hypertrophy and failure
GEO Series GSE2355. Mus musculus. 32 samples. Type: Expression profiling by array.
Pressure-Overload Induced Cardiac Hypertrophy
GEO Series GSE76. Mus musculus. 36 samples. Type: Expression profiling by array.
DNA methylation inhibition attenuates pressure overload-induced cardiac hypertrophy in rats
GEO Series GSE111513. Rattus norvegicus. 15 samples. Type: Methylation profiling by high throughput sequencing.
Targeted deletion of Tcf7l2 in adipocytes promotes adipocyte hypertrophy and impaired gluose metabolism
GEO Series GSE129405. Mus musculus. 22 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Cdk8 kinase activity regulates transcriptional responses to pathological cardiac hypertrophy [ChIP-seq]
GEO Series GSE301242. Rattus norvegicus. 7 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Cardiac hypertrophy related to the phosphoinositide 3-kinase signaling pathway
GEO Series GSE558. Mus musculus. 9 samples. Type: Expression profiling by array.
Role of SIRT5 in Inhibition of Myocardial Hypertrophy
GEO Series GSE186985. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Dataset related to article "Single-Cell and Single-Nucleus Multiomics Reveal Cardiac Endothelial Cell Heterogeneity and Novel Pathological Processes in Pressure Overload-Induced Hypertrophy"
<p>This record contains raw data related to article “<em><span>Single-Cell and Single-Nucleus Multiomics Reveal Cardiac Endothelial Cell Heterogeneity and Novel Pathological Processes in Pressure Overload-Induced Hypertrophy</span></em>"</p> <p>Endothelial cells, the most prevalent cellular population in the heart, line the internal walls of coronary and lymphatic vessels and form the endocardium and cardiac valves. The heterogeneity of cardiac endothelium poses a challenge in fully understanding endothelial states. However, to better grasp the plasticity of endothelial cell phenotypes, it's crucial to distinguish the varied responses of endothelial populations to physiological and pathological stimuli. Endothelial dysfunction plays a significant role in the development and progression of heart failure, a condition impacting millions globally. For the heart to sustain pressure-overload-induced remodelling, endothelial cells must proliferate and generate new blood vessels. When cardiomyocyte hypertrophy and angiogenesis become uncoupled, it leads to decompensated heart failure. Despite this, the molecular mechanisms governing cardiac vascularization during pathological hypertrophy remain unclear.</p> <p>Transcriptional phenotyping methods have been widely used to capture endothelial cell plasticity and heterogeneity. However, only single-cell profiling has effectively resolved distinct phenotypes. While single-cell RNA sequencing can create detailed cellular maps and cell-to-cell communication networks, it does not fully elucidate how gene regulatory programs are established or how cell states, functions, and responses are specified. To address these gaps, multimodal omics approaches have been developed, allowing for simultaneous profiling of chromatin accessibility and gene expression within the same cell.</p> <p>In our study, we aimed to characterize the transcriptional and epigenetic profiles of cardiac endothelial cells in a mouse model of pressure-overload-induced hypertrophy using multiomics bioinformatic approaches at single-cell resolution. This innovative technology enabled us to uncover the regulatory mechanisms that drive endothelial cell sub-population specifications following banding. Our resulting atlas is intended to serve as a valuable reference and resource for future studies and the development of therapeutic strategies targeting endothelial cells in cardiovascular diseases.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.