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94 results for “10X Genomics”
Dataset: 10x Genomics, Inc. (TXG) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Single-cell RNA sequencing of CNS-infiltrating HSC-derived phagocytes of Ms4a3Ai14, BM chimeric mice (CD45.2 Csf2rb-/-: CD45.1 Csf2rb+/+ and CD45.2 Ifngr1-/-: CD45.1 Ifngr1+/+) using 10X Genomics platform. IFN-γ and GM-CSF control complementary differentiation programs in the monocyte to phagocyte transition during neuroinflammation.
<p><strong>Single-cell RNA sequencing of CNS-infiltrating HSC-derived phagocytes of <em>Ms4a3</em><sup>Ai14</sup> at onset and peak EAE, BM chimeric mice (CD45.2 <em>Csf2rb</em><sup>-/-</sup>: CD45.1 <em>Csf2rb</em><sup>+/+</sup> and CD45.2 <em>Ifngr1<sup>-/-</sup></em>: CD45.1 <em>Ifngr1<sup>+/+</sup></em>) using 10X Genomics platform.</strong></p> <p>The sorted cells were loaded into 10x Genomics Chromium in parallel. Libraries were prepared as per the manufacturer's protocol (Chromium Next GEM Single Cell 3ʹ Reagent Kits v3.1 protocol) and sequenced on an Illumina NovaSeq sequencer according to 10X Genomics recommendations (paired-end reads, R1=28, i7=8, R2=91) to a depth of around 50,000 reads per cell.</p> <p>Initial processing was done using Cell Ranger (v3.1.0) mkfastq and count (reads were aligned to GENCODE reference build GRCm38.p6 Release M23 with added tdTomato sequence for the dataset from <em>Ms4a3</em><sup>Ai14</sup> mouse and collapse UMIs). Starting from the filtered gene-cell count matrix produced by CellRranger's in-built cell calling algorithms, we proceeded with Seurat v4 workflow.</p>
Single-cell RNA sequencing of Lymph node-infiltrating HSC-derived phagocytes of Ms4a3Ai14 using 10X Genomics platform. IFN-γ and GM-CSF control complementary differentiation programs in the monocyte to phagocyte transition during neuroinflammation.
<p><strong>Single-cell RNA sequencing of Lymph node-infiltrating HSC-derived phagocytes of <em>Ms4a3</em><sup>Ai14</sup> at onset and peak EAE using 10X Genomics platform.</strong></p> <p>The sorted cells were loaded into 10x Genomics Chromium in parallel. Libraries were prepared as per the manufacturer's protocol (Chromium Next GEM Single Cell 3ʹ Reagent Kits v3.1 protocol) and sequenced on an Illumina NovaSeq sequencer according to 10X Genomics recommendations (paired-end reads, R1=28, i7=8, R2=91) to a depth of around 50,000 reads per cell.</p> <p>Initial processing was done using Cell Ranger (v3.1.0) mkfastq and count (reads were aligned to GENCODE reference build GRCm38.p6 Release M23 with added tdTomato sequence for the dataset from <em>Ms4a3</em><sup>Ai14</sup> mouse and collapse UMIs). Starting from the filtered gene-cell count matrix produced by CellRranger's in-built cell calling algorithms, we proceeded with Seurat v4 workflow.</p>
Single-cell RNA sequencing of Bone Marrow-infiltrating HSC-derived phagocytes of Ms4a3Ai14 using 10X Genomics platform. IFN-γ and GM-CSF control complementary differentiation programs in the monocyte to phagocyte transition during neuroinflammation.
<p><strong>Single-cell RNA sequencing of Bone Marrow-infiltrating HSC-derived phagocytes of <em>Ms4a3</em><sup>Ai14</sup> at onset and peak EAE using 10X Genomics platform.</strong></p> <p>The sorted cells were loaded into 10x Genomics Chromium in parallel. Libraries were prepared as per the manufacturer's protocol (Chromium Next GEM Single Cell 3ʹ Reagent Kits v3.1 protocol) and sequenced on an Illumina NovaSeq sequencer according to 10X Genomics recommendations (paired-end reads, R1=28, i7=8, R2=91) to a depth of around 50,000 reads per cell.</p> <p>Initial processing was done using Cell Ranger (v3.1.0) mkfastq and count (reads were aligned to GENCODE reference build GRCm38.p6 Release M23 with added tdTomato sequence for the dataset from <em>Ms4a3</em><sup>Ai14</sup> mouse and collapse UMIs). Starting from the filtered gene-cell count matrix produced by CellRranger's in-built cell calling algorithms, we proceeded with Seurat v4 workflow.</p>
Single-cell RNA sequencing of Blood-infiltrating HSC-derived phagocytes of Ms4a3Ai14 using 10X Genomics platform. IFN-γ and GM-CSF control complementary differentiation programs in the monocyte to phagocyte transition during neuroinflammation.
<p><strong>Single-cell RNA sequencing of Blood-infiltrating HSC-derived phagocytes of <em>Ms4a3</em><sup>Ai14</sup> at onset and peak EAE using 10X Genomics platform.</strong></p> <p>The sorted cells were loaded into 10x Genomics Chromium in parallel. Libraries were prepared as per the manufacturer's protocol (Chromium Next GEM Single Cell 3ʹ Reagent Kits v3.1 protocol) and sequenced on an Illumina NovaSeq sequencer according to 10X Genomics recommendations (paired-end reads, R1=28, i7=8, R2=91) to a depth of around 50,000 reads per cell.</p> <p>Initial processing was done using Cell Ranger (v3.1.0) mkfastq and count (reads were aligned to GENCODE reference build GRCm38.p6 Release M23 with added tdTomato sequence for the dataset from <em>Ms4a3</em><sup>Ai14</sup> mouse and collapse UMIs). Starting from the filtered gene-cell count matrix produced by CellRranger's in-built cell calling algorithms, we proceeded with Seurat v4 workflow.</p>
10X Genomics Human Visium Spatial Transcriptomics Demo Dataset for Cellxgene VIP
<p>4 Visium Spatial Transcriptomics datasets downloaded 10X Genomics data site ,and organized in the way to be used for Cellxgene VIP input.</p> <p>10X_demo_data_Breast_Cancer_Block_A_Section_1<br> 10X_demo_data_Breast_Cancer_Block_A_Section_2<br> 10X_demo_data_Human_Heart<br> 10X_demo_data_Human_Lymph_Node<br> </p>
Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [10X_scRNAseq]
GEO Series GSE141589. Drosophila melanogaster. 1 samples. Type: Expression profiling by high throughput sequencing.
10X Genomics scRNA sequence Lacrimal Data set
GEO Series GSE100106. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
10X Genomics single-cell RNA-Seq data set of CreER mice
GEO Series GSE162713. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNAseq analysis (10X Genomics Chromium) of cMAF- and Mafb-deficent lung monocytes and interstium macrophages
GEO Series GSE193891. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Maternal Stress Triggers Early-Life Eczema via Fetal Mast Cell Reprogramming [10x Genomics Multiome ATAC + Gene Expression]
GEO Series GSE290848. Mus musculus. 8 samples. Type: Other.
A single-cell transcriptomics CRISPR-activation screen identifies new epigenetic regulators of the zygotic genome activation programm (10X Genomics CRISPRa screen dataset)
GEO Series GSE135621. Mus musculus. 27 samples. Type: Expression profiling by high throughput sequencing.
Single nuclei ATAC-seq (10X Genomics Chromium) of MGE, CGE, LGE and cortical regions from mouse embryonic forebrain
GEO Series GSE167047. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Single nuclei ATAC-seq (10X Genomics Chromium) of FACS enriched cortical and hippocampal interneurons from P30 mouse brains
GEO Series GSE167048. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Profiling mouse cochlear cell maturation using 10X Genomics single-cell transcriptomics
GEO Series GSE202920. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Earthworm chromatin accessibility atlas with 10x Genomics
GEO Series GSE231367. Eisenia andrei. 1 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Single-cell RNA-sequencing of bovine fetal gonads using 10x Genomics
GEO Series GSE162952. Bos taurus. 2 samples. Type: Expression profiling by high throughput sequencing.
10x Genomics single cell RNA-sequencing of sorted CD45+ Ly6G- CD11b+ F4/80+ tumour-associated macrophages from murine mammary tumours
GEO Series GSE160641. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
10x genomics single cell sequencing of yak testis
GEO Series GSE225618. Bos grunniens x Bos taurus; Bos grunniens. 2 samples. Type: Expression profiling by high throughput sequencing.
Adapting the 10x Genomics Platform for single-cell RNA-seq in yeast reveals the importance of stochastic gene expression during the lag phase
GEO Series GSE144820. Saccharomyces cerevisiae. 5 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.