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174
datasets available to search
ShareScore release 0.9.0
Dataset results
174 results for “Single-cell omics”
Single-cell multi-omic characterization of the soybean root response to cyst nematode infection
GEO Series GSE310956. Glycine max. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Single-Cell Multi-Omics Sequencing Reveals the Dynamic Epigenome Landscape of Human Adult Spermatogenesis
GEO Series GSE149407. Homo sapiens. 1435 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Multi-Omic Single-Cell Dissection of Leukemic T-Cell Lymphoma Following CAR T-Cell Therapy [Spatial Transcriptomics]
GEO Series GSE283145. Homo sapiens. 3 samples. Type: Other.
Harnessing HetHydrogel: An Approach to Single-Cell Multi-Omics
GEO Series GSE244725. Mus musculus; Homo sapiens. 5 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Dissecting the intra- and intertumoral heterogeneity of adrenocortical carcinoma by single-cell multi-omics analyses
<p>Adrenocortical carcinoma (ACC) is a rare but aggressive malignancy originating in the adrenal cortex, characterized by significant intra- and intertumoral heterogeneity. In this study, we employed a combination of whole-genome sequencing, single-cell RNA sequencing, T cell receptor sequencing, spatial transcriptome sequencing, and multiple fluorescent staining to construct a comprehensive multi-omics landscape of ACC. Our findings demonstrated that, although all tumor cells exhibited a "confused cell identity" feature, distinct subpopulations were present in each ACC patient. Among these, the *LDLR*+ and *MKI67*+ subpopulations expressed elevated levels of C1A signature genes and established robust communication with endothelial cells through *NECTIN*-*PVR* and *NOTCH2*-*JAG* pairs, both significantly associated with poor prognosis. Interestingly, the *PCDH15*+ subpopulations displayed moderate levels of both C1A signature genes and extracellular matrix related genes. On the other hand, the *HLA-B*+ and subpopulation exhibited the highest levels of antigen-processing related genes, a characteristic not previously reported. The amalgamation of these distinct subpopulations facilitated the stratification of ACC patients into subtypes with varying prognoses. Patients (Group II) dominated by *LDLR*+ and *MKI67*+ subpopulations exhibited the worst prognosis, while those (Group III) with a higher proportion of *PCDH15*+ subpopulation demonstrated the most favorable outcomes. Significantly, patients (Group I) with a higher prevalence of the *HLA-B*+ subpopulation also showed notably increased *LAG3*+ memory CD8 T cells, indicating their potential suitability for immunotherapy. Despite responding averagely to conventional treatment, this subgroup was predicted to be responsive to immunotherapy. Notably, one patient from Group I exhibited a positive response to camrelizumab treatment after relapse with mitotane, leading to a successful outcome, while two patients from Group II did not respond favorably. Our study offers insights into the single-cell level heterogeneity of ACC and provides valuable implications for precision treatments for this disease.</p>
Single-cell transcriptomics and translatomics dual-omics analysis reveals the potential mechanism of HFD-induced maternal RNA degradation abnormalities
GEO Series GSE294093. Mus musculus. 42 samples. Type: Expression profiling by high throughput sequencing; Other.
GRNsmile: gene regulatory network inference with a single-cell multi-layer omics approach [scATAC-seq]
GEO Series GSE173458. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
GRNsmile: gene regulatory network inference with a single-cell multi-layer omics approach
GEO Series GSE173460. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
Dissecting the intra- and intertumoral heterogeneity of adrenocortical carcinoma by single-cell multi-omics analyses
GEO Series GSE252113. Homo sapiens. 24 samples. Type: Other.
Dissecting the intra- and intertumoral heterogeneity of adrenocortical carcinoma by single-cell multi-omics analyses [II]
GEO Series GSE252112. Homo sapiens. 17 samples. Type: Other.
Dissecting the intra- and intertumoral heterogeneity of adrenocortical carcinoma by single-cell multi-omics analyses [I]
GEO Series GSE252108. Homo sapiens. 7 samples. Type: Other.
Single-cell Multi-omics Analysis of Human Testicular Germ Cell Tumor Reveals its Molecular Features and Microenvironment II
GEO Series GSE229823. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
GRNsmile: gene regulatory network inference with a single-cell multi-layer omics approach [Micro-C]
GEO Series GSE173459. Homo sapiens. 6 samples. Type: Other.
Developing high throughput single-cell single-nucleotide in situ pairwise sequencing for macromolecule spatail-omics
GEO Series GSE190219. Mus musculus; Rattus norvegicus. 2 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
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.