Chromium single cell 3 v3
The Chromium Single Cell 3' v3 is a lab equipment product from 10x Genomics. It is a system designed for single-cell RNA sequencing, allowing researchers to analyze gene expression profiles at the individual cell level.
Lab products found in correlation
8 protocols using chromium single cell 3 v3
Transcriptomic Profiling of Thyroid Organoids
Single-cell RNA-seq library construction
Papain Dissociation for Single-cell RNA-seq
Circadian Skin Cell Isolation Protocol
Samples were collected every four hours for three days to generate in total of 18 samples, providing three biological replicates per circadian time point. The Chromium Single Cell 3’ v3 (10x Genomics) libraries were prepared and sequenced by the University of California Irvine Genomic High Throughput Facility with Illumina NovaSeq6000.
Elucidating CD276-Mediated Immune Escape in ESCC
Seurat R package was employed to analyze and visualize the scRNA-seq data.37 (link) Briefly, we identified high-variable genes, capturing heterogeneity and key regulatory factors. Next, principal component analysis reduced dimensionality, enabling visualization of cellular heterogeneity, and identifying cell clusters based on gene expression patterns.
Dissociation and Labeling of Murine Myc;Ptenfl Tumors
Bulk scRNA-seq using 10x Chromium
Lymph Node Single-Cell Transcriptomics
Data were processed using the standard cellranger pipeline (10× Genomics). Downstream analysis was performed using the Seurat v4 pipeline (56) . Velocity analysis was conducted using the scVelo package (57) . Cell-interaction networks were constructed using the cellchat package (29) . Further information related to data analysis can be found in SI Appendix, Materials and Methods.
Population-Level RNA-seq Library Preparation and Sequencing.
Flow cytometrically purified cell populations ranging from 500 to 1,000 cells were double-sorted for each replicate. Library preparation was conducted using the Smart-seq2 RNA-seq protocol. Sequencing was conducted at the Broad Genomics Platform following the standard Immgen (https://www.immgen.org). Further information on data processing and quality control can be found in SI Appendix, Materials and Methods.
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