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278
datasets available to search
ShareScore release 0.9.0
Dataset results
278 results for “cytometry”
Deep phenotyping by mass cytometry and single cell RNA-sequencing reveals LYN regulated signaling profiles underlying monocyte subset heterogeneity and lifespan
GEO Series GSE146216. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Parallel DNA and RNA profiling of EpCAM-positive cells in bone marrow and primary tumor tissue with positive disseminated tumor cell count via immunomagnetic Enrichment/Flow Cytometry of metastatic br
GEO Series GSE112759. Homo sapiens. 106 samples. Type: Expression profiling by RT-PCR; Genome variation profiling by array.
Straightforward extraction of high-quality RNA from glyoxal-fixed cells facilitates transcriptome analysis after cell staining and sorting by flow cytometry
GEO Series GSE158177. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry
GEO Series GSE120446. Homo sapiens. 33 samples. Type: Expression profiling by high throughput sequencing.
Single-cell mass cytometry reveals the impact of graphene nanomaterials with human primary immune cells
GEO Series GSE99929. Homo sapiens. 18 samples. Type: Expression profiling by array.
Unsupervised analysis of flow cytometry data in a clinical setting captures cell diversity and allows population discovery
GEO Series GSE162177. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Characterization of CD4+ and CD8+ T cells responses in the Mixed Lymphocyte Reaction by flow cytometry and single cell RNA sequencing
GEO Series GSE242428. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
scRNAseq analysis of four populations sorted from midbrain organoids using Flow cytometry
GEO Series GSE226890. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry [bulk]
GEO Series GSE120444. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
A combinatorial panel for flow cytometry-based isolation of enteric nervous system cells from human intestine
GEO Series GSE224252. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
High-throughput tissue dissection and cell purification with digital cytometry
GEO Series GSE127472. Homo sapiens. 315 samples. Type: Expression profiling by array; Expression profiling by high throughput sequencing.
An integrated flow cytometry-based platform for isolation and molecular characterization of circulating tumor single cells and clusters
GEO Series GSE108287. Mus musculus. 43 samples. Type: Expression profiling by high throughput sequencing.
MicroRNA expression profling from 14 adult whole blood samples with flow cytometry cell fractions
GEO Series GSE268516. Homo sapiens. 14 samples. Type: Non-coding RNA profiling by high throughput sequencing.
In-depth organic mass cytometry reveals differential contents of 3-hydroxybutanoic acid at the single-cell level
GEO Series GSE262591. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
High-throughput tissue dissection and cell purification with digital cytometry [scRNA-Seq]
GEO Series GSE127471. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq and flow-cytometry of conventional, scalp, and palmoplantar psoriasis reveal shared and distinct molecular pathways
GEO Series GSE117405. Homo sapiens. 28 samples. Type: Expression profiling by high throughput sequencing.
Multicolor spectral flow cytometry evaluation of peripheral blood mononuclear cells from NSCLC patients
GEO Series GSE235048. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Genomic aberrations in distant fields from oral potentially malignant lesions by high resolution DNA flow cytometry and array-CGH
GEO Series GSE28906. Homo sapiens. 32 samples. Type: Genome variation profiling by genome tiling array.
Imaging Mass Cytometry: p161
<p>Imaging Mass Cytometry: p161</p> <p>Raw acquisitions for the paper:</p> <p><strong>A quantitative analysis of the interplay of environment, neighborhood, and cell state in 3D spheroids</strong></p> <p> Vito RT Zanotelli<br> Matthias Leutenegger<br> Xiao‐Kang Lun<br> Fanny Georgi<br> Natalie de Souza<br> Bernd Bodenmiller</p> <p><em>Mol Syst Biol. (2020) 16: e9798</em><br> <a href="https://doi.org/10.15252/msb.20209798">https://doi.org/10.15252/msb.20209798</a></p> <p><em>Please cite this article if you re-use any of the data or code.</em></p>
Data from: Measuring the biodiversity of microbial communities by flow cytometry
1. Measuring the microbial diversity in natural and engineered environments is important for ecosystem characterization, ecosystem monitoring and hypothesis testing. Although the conventional assessment through single marker gene surveys has resulted in major advances, the complete procedure remains slow (i.e., weeks to months), labour-intensive and susceptible to multiple sources of laboratory and data processing bias. Growing interest, in highly resolved, temporal surveys of microbial diversity, necessitates rapid, inexpensive and robust analytical platforms that require limited computational effort. 2. Here, we demonstrate that sensitive single-cell measurements of phenotypic attributes, obtained via flow cytometry, can provide fast (i.e., within minutes) first-line assessments of microbial diversity dynamics, without demanding extensive sample preparation and downstream data processing. We developed a data processing pipeline that fits bivariate kernel density functions to phenotypic parameter combinations of an entire microbial community, and concatenates them to a single one-dimensional phenotypic fingerprint. By calculating established diversity metrics from such phenotypic fingerprints, we construct an alternative interpretation of the microbial diversity that incorporates distinct phenotypic traits underlying cell-to-cell heterogeneity (i.e., morphology and nucleic acid content). 3. Based on a detailed longitudinal study of a highly dynamic microbial ecosystem, our approach delivered temporal alpha diversity profiles that strongly correlated with the reference diversity, as estimated by 16S rRNA amplicon sequencing. This strongly suggests that the distribution of a limited amount of phenotypic features within a microbial community already provides sufficient resolving power for the measurement of diversity dynamics at the species level. 4. We present a fast, robust analysis method for monitoring the microbial biodiversity of natural and engineered ecosystems that correlates well with the conventional marker gene surveys. Our work has both applied and fundamental implications that stretch from ecosystem monitoring and studies on microbial community dynamics, to supervised sampling strategies. Furthermore, our approach offers perspectives for the development of on-line and in situ monitoring systems for microbial ecosystems.
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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.