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ShareScore release 0.9.0
Dataset results
72 results for “individual heterogeneity”
Individual heterogeneity in ixodid tick infestation and prevalence of Borrelia burgdorferi sensu lato in a northern community of small mammalian hosts
<p>Dataset and scripts for our paper "Individual heterogeneity in ixodid tick infestation and prevalence of <i>Borrelia burgdorferi</i> sensu lato in a northern community of small mammalian hosts" in Oecologia</p>
Inter Individual Variability in Initiation Pathway Activation and Regulation and Phenotypic Heterogeneity in Patients With Haemophilia A and B
ClinicalTrials.gov study NCT03287999. IPD Sharing: NO. Countries: 1. Publications: 0.
Deeper insight into Pancreatic Ductal Adenocarcinoma (PDAC) survival heterogeneity using integrative analyses of individual and global transcriptome based networks
GEO Series GSE150043. Homo sapiens. 19 samples. Type: Expression profiling by high throughput sequencing.
Individual retinal progenitor cells display extensive heterogeneity of gene expression
GEO Series GSE9811. Mus musculus. 42 samples. Type: Expression profiling by array.
Redox Heterogeneity in Mouse Embryonic Stem Cells Individualizes Cell Fate Decisions I
GEO Series GSE244777. Mus musculus. 27 samples. Type: Expression profiling by high throughput sequencing.
Structurally Complex Osteosarcoma Genomes Exhibit Limited Heterogeneity within Individual Tumors and across Evolutionary Time
A key characteristic of osteosarcoma is extensive and complex genomic rearrangements. However, published models explaining how these genomic rearrangements occur disagree about if these rearrangements occur early in tumor progression and then are stable afterwards, or if there is ongoing genomic instability. Previous studies have employed bulk sequencing technologies to characterize genomic alterations. A limitation of this approach is that it averages all changes within the bulk sample, essentially masking intra-sample heterogeneity and making evaluation of ongoing genomic instability difficult. To overcome this limitation and compliment previous work, we utilized single-cell whole genome sequencing to quantify somatic copy number alterations (SCNA). By interrogating individual cells within a sample, we were able to examine intra-sample heterogeneity. We found that the SCNA patterns between cells within a single sample were remarkably consistent, which supports the concept that the genomes of osteosarcoma tumors are relatively stable after early genome fragmentation events.
Optical imaging and single-cell RNA sequencing reveal individual heterogeneity in pancreatic cells that supports global function
<p>Islets, micro-organs critical for glucose homeostasis, exhibit significant genetic diversity among their cells, which is hypothesized to underpin their functional repertoire. Our study investigated the heterogeneity in glucose-induced excitability within islet cells, providing a cellular basis for their roles in glucose-responsive hormone secretion. To comprehensively map glucose-induced excitability profiles, we developed SHIMMER, a high-throughput, multimodal data acquisition platform that integrates electrical signals, Ca2+ fluxes, and single-cell sequencing data. By quantifying the non-stationary electrical and calcium signal dynamics, we formulated a machine learning-based electro-calcium model that shows how variations in membrane conductance and Ca2+ clearance contribute to increased heterogeneity in cytosolic Ca2+ accumulation. Using SHIMMER for single-cell sequencing on representative cells, we identified genes such as <em>Cacnb2</em> and <em>Arpp19</em>, that associated with electro-calcium characteristics, and found <em>Clec4d</em> as a potential marker for a highly excitable cell subpopulation. These findings indicate that islet cells tend to exhibit a large heterogeneity in glucose-induced excitability, being essential for their normal functioning.</p>
Optical imaging and single-cell RNA sequencing reveal individual heterogeneity in pancreatic cells that supports global function
<p>Our study investigated the heterogeneity in glucose-induced excitability within islet cells, providing a cellular basis for their roles in glucose-responsive hormone secretion. To comprehensively map glucose-induced excitability profiles, we developed SHIMMER, a high-throughput, multimodal data acquisition platform that integrates electrical signals, Ca2+ fluxes, and single-cell sequencing data. By quantifying the non-stationary electrical and calcium signal dynamics, we formulated a machine learning-based electro-calcium model that shows how variations in membrane conductance and Ca2+ clearance contribute to increased heterogeneity in cytosolic Ca2+ accumulation. Using SHIMMER for single-cell sequencing on representative cells, we identified several genes that associated with electro-calcium characteristics, and found a potential marker for a highly excitable cell subpopulation. These findings indicate that islet cells tend to exhibit a large heterogeneity in glucose-induced excitability, being essential for their normal functioning.</p> <p>This dataset include all processed data we mentioned in our paper, the code were uploaded on https://github.com/CullinanLi/heterogeneity-in-pancreatic-islet-cells, with the same folder name, if we missed anything, please feel free to contact the lead contact.</p>
ConSeqUMI, an error-free nanopore sequencing pipeline to identify and extract individual nucleic acid molecules from heterogenous samples.
GEO Series GSE288938. Homo sapiens; mixed DNA library; Severe acute respiratory syndrome coronavirus 2. 42 samples. Type: Other.
Redox Heterogeneity in Mouse Embryonic Stem Cells Individualizes Cell Fate Decisions II
GEO Series GSE244779. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Redox Heterogeneity in Mouse Embryonic Stem Cells Individualizes Cell Fate Decisions
GEO Series GSE244780. Mus musculus. 33 samples. Type: Expression profiling by high throughput sequencing.
Quantitative analyses of structure-function heterogeneity of individual mitochondrial components reveal an early role of small-mitochondrial-networks in priming neoplastic transformation
GEO Series GSE285728. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
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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.