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1,363
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1,363 results for “phenotypic data”
Transcriptomic data for: Heat induces multiomic and phenotypic stress propagation in zebrafish embryos
GEO Series GSE220546. Danio rerio. 12 samples. Type: Expression profiling by high throughput sequencing.
Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumour heterogeneity in single-cell data II
GEO Series GSE310220. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
The Comparative Analysis of Phenotypic and Whole Transcriptome Gene Expression Data of Ascites Susceptible Versus Ascites Resistant Chickens
GEO Series GSE122745. Gallus gallus. 4 samples. Type: Expression profiling by high throughput sequencing.
Electrospun scaffold micro-architecture induces an activated transcriptional phenotype within tendon fibroblasts. Bulk RNA-seq data.
GEO Series GSE190085. Homo sapiens. 48 samples. Type: Expression profiling by high throughput sequencing.
Dynamic rewiring of transcription factor networks during smooth muscle cell phenotypic modulation (ChIP-Rx data sets)
GEO Series GSE111710. Rattus norvegicus. 20 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumour heterogeneity in single-cell data III
GEO Series GSE310222. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumour heterogeneity in single-cell data IV
GEO Series GSE310223. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome RNA sequencing data of sarcomatoid renal cell carcinoma cell line SRCC and its subclones with different phenotypes.
GEO Series GSE193006. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
raw data from MS : Redefining the winter phenotype in Drosophila suzukii
<p>raw data from MS "Redefining the winter phenotype in Drosophila suzukii"</p>
Dynamic rewiring of transcription factor networks during smooth muscle cell phenotypic modulation (RNA-Seq data sets)
GEO Series GSE111714. Rattus norvegicus. 14 samples. Type: Expression profiling by high throughput sequencing.
Molecular, Phenotypic, and Sample-associated Data to Describe Pluripotent Stem Cell Lines and Derivatives
GEO Series GSE85828. Homo sapiens. 114 samples. Type: Methylation profiling by array.
Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumour heterogeneity in single-cell data I
GEO Series GSE310219. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumour heterogeneity in single-cell data
GEO Series GSE310225. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Dynamic rewiring of transcription factor networks during smooth muscle cell phenotypic modulation (ChIP-Seq data sets)
GEO Series GSE111712. Rattus norvegicus. 22 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Dynamic rewiring of transcription factor networks during smooth muscle cell phenotypic modulation (ATAC-Seq data sets)
GEO Series GSE111713. Rattus norvegicus. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Unsupervised Analysis of Array Comparative Genomic Hybridization Data from Early-Onset Colorectal Cancer Reveals Equivalence with Molecular Classification and Phenotypes
GEO Series GSE108220. Homo sapiens. 60 samples. Type: Genome variation profiling by genome tiling array.
Affymetrix CytoScan 750K and HD data for developmental delay and/or physical disability phenotypes samples
GEO Series GSE120624. Homo sapiens. 83 samples. Type: Genome variation profiling by SNP array; Genome variation profiling by genome tiling array.
Data set from Laforgia P, Bandera F, Alfonzetti E, Guazzi M. Exercise chronotropic incompetence phenotypes the level of cardiovascular risk and exercise gas exchange impairment in the general population. An analysis of the Euro-EX prevention trial. Eur J Prev Cardiol. 2020 Mar;27(5):526-535. doi: 10.1177/2047487319863506. Epub 2019 Jul 25. PMID: 31345056.
<p>Data set from Laforgia P, Bandera F, Alfonzetti E, Guazzi M. Exercise chronotropic incompetence phenotypes the level of cardiovascular risk and exercise gas exchange impairment in the general population. An analysis of the Euro-EX prevention trial. Eur J Prev Cardiol. 2020 Mar;27(5):526-535. doi: 10.1177/2047487319863506. Epub 2019 Jul 25. PMID: 31345056.</p> <p> </p> <p>This is the article:</p> <p><strong>Background: </strong> Chronotropic insufficiency (CI) is defined as the inability of the heart to increase its rate commensurate with increased demand. Exercise CI is an established predictor of major adverse cardiovascular events in patients with cardiovascular diseases.</p> <p><strong>Aim: </strong> The aim of this study was to evaluate how exercise CI phenotypes different levels of cardiovascular risk and how it may better perform in defining cardiovascular risk when analysed in the context of cardiopulmonary exercise test (CPET)-derived measures and standard echocardiography in a healthy population with variable cardiovascular risk profile.</p> <p><strong>Methods: </strong> Apparently healthy individuals (<em>N</em> = 702, 53.8% females) with at least one major cardiovascular risk factor (MCVRF; hypertension, diabetes, tabagism, dyslipidaemia, body mass index > 25), enrolled in the Euro-EX prevention trial, underwent CPET. CI was defined as the inability to reach 80% of the chronotropic index, that is, the ratio of peak heart rate - rest heart rate/peak heart rate - age predicted maximal heart rate (AMPHR: 220 - age), they were divided into four groups according to the heart rate reserve (<80%>) and respiratory gas exchange ratio (RER; < 1.05>) as a marker of achieved maximal performance. Subjects with a RER < 1.05 (<em>n</em> = 103) were excluded and the final population (<em>n</em> = 599) was divided into CI group (<em>n</em> = 472) and no-CI group (<em>n</em> = 177).</p> <p><strong>Results: </strong> Compared with no-CI, CI subjects were more frequently females with a history of hypertension in a high rate. CI subjects also exhibited a significantly lower peak oxygen uptake (VO<sub>2</sub>) and circulatory power and an echocardiographic pattern indicative of higher left atrial volume index and left ventricular mass index. An inverse stepwise relationship between heart rate reserve and number of MCVRFs was observed (one MCVRF: 0.71 ± 0.23; two MCVRFs: 0.68 ± 0.24, three MCVRFs: 0.64 ± 0.20; four MCVRFs: 0.64 ± 0.23; five MCVRFs: 0.57 ± 18; <em>p</em> < 0.01). In multivariate analysis the only variable found predicting CI was peak VO<sub>2</sub> (<em>p</em> < 0.05; odds ratio 0.91; confidence interval 0.85-0.97).</p> <p><strong>Conclusions: </strong> In a population of apparently healthy subjects, exercise CI is common and phenotypes the progressive level of cardiovascular risk by a tight relationship with MCVRFs. CI patients exhibit some peculiar abnormal exercise gas exchange patterns (lower peak VO<sub>2</sub> and exercise oscillatory ventilation) and echo-derived measures (higher left atrium size and left ventricle mass) that may well anticipate evolution toward heart failure.</p> <p> </p>
Supporting data: Prevalence of sexual dimorphism in mammalian phenotypic traits
<p>Supporting material for the manuscript <strong>“</strong><strong>Prevalence of sexual dimorphism in mammalian phenotypic traits”</strong> </p> <p> </p> <p> </p>
Data for publication "Transcriptional and functional profiling of Endothelial Colony Forming Cells identifies inflammation and endothelial to mesenchymal transition as drivers for phenotypic heterogeneity"
<p>Here, the data is stored for the article "Transcriptional and functional profiling of Endothelial Colony Forming Cells identifies inflammation and endothelial to mesenchymal transition as drivers for phenotypic heterogeneity" which is currently submitted but not accepted.</p><p>it was not possible to include all data in this repository. the confocal tilescan images used for WPB and Cell morphology quantification and images used for the migration assay were too many and too large in size to include. However, this data is available upon request.</p>
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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.