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10x chromium gem software#

This service can be performed in conjunction with the 5′ Next GEM library prep or the VDJ immune profiling (B cell or T cell) library prep, but is not a stand alone service. It can also be used to multiplex more than one sample into a single library prep. This technology can also determine antigen specificity of single T cells with Feature Barcode peptide-MHC multimers to study the dynamic interactions between lymphocytes and antigens. Use this technique to measure both gene and cell surface protein expression in the same cell to identify protein isoforms, detect protein for low abundance transcripts, and further increase phenotypic specificity. Libraries are generated and sequenced and 10x Barcodes are used to associate individual reads back to the individual partitions. It does so by partitioning thousands of cells into nanoliter-scale Gel Beads-in-emulsion (GEMs), where all generated cDNA share a common 10x Barcode. A pool of ~750,000 barcodes are sampled separately to index each cell’s transcriptome and cell surface protein. This is accomplished by labeling cell surface proteins with antibodies conjugated to a Feature Barcode oligonucleotide, followed by direct capture of the Feature Barcode by the Gel Bead primer. The Chromium Single Cell Feature Barcode technology offers a comprehensive, scalable approach to detect cell surface proteins along with the gene expression and immune repertoire information from the same single cell. UVA Child Development & Rehabilitation Center.Translational Health Research Institute of Virginia The Chromium platform, powered by Next GEM technology, enables integrated.Institute of Law, Psychiatry & Public Policy.cDNA from the same cell are identified thanks to a common 10X. Child Health Research Center (Pediatrics) Within each GEM reaction vesicle, a single cell is lysed and undergo reverse transcription.Thaler Center for AIDS & Human Retrovirus Research Center for Immunity, Inflammation & Regenerative Medicine.Center for Behavioral Health & Technology.Molecular Physiology & Biological Physics.Microbiology, Immunology, & Cancer Biology (MIC).

10x chromium gem software#

From translational immunology and immuno-oncology, to infectious disease research-these technological advancements, along with our intuitive software analysis and visualization tools, will accelerate the understanding of the adaptive immune system.

A comprehensive approach to simultaneously examine the cellular context of the adaptive immune response and the immune repertoires of hundreds to millions of T and B cells on a cell-by-cell basis.

The Chromium Single cell Immune Profiling Solution

Encapsulate up to 80,000 cells in less than 10 minutes.

More efficient than leading academic droplet systems.

Complete practical solution for single cell analysis Identify rare cell types in heterogeneous populations.

High-throughput single cell transcriptomic measurements enable discovery of gene expression dynamics for profiling individual cell types.

Key advantages of the Chromium Single cell RNA-Seq It does so by partitioning thousands of cells into nanoliter-scale Gel Beads-in-emulsion (GEMs), where all generated cDNA share a common 10x Barcode. Finally, the Chromium™ Software Suite is utilized for processing, analysis and visualization of single cell gene expression data. High-quality next generation sequencing libraries are finished in single bulk reaction. Lysis and barcoded reverse transcription of polyadenylated mRNA from single cells are performed inside each GEM. Single cells, reagents and a single Gel Bead containing barcoded oligonucleotides are encapsulated into nanoliter-sized GEMs (Gel Bead in emulsion) using the GemCode Technology.

The Chromium™ Single Cell RNA sequencing Solution

The GemCode™ Technology from 10X Genomics, which combines microfluidics with molecular barcoding and custom bioinformatics software enable analyzing the transcriptomes of thousands of cells at single cell resolution.

Advances in single cell RNA quantification techniques have enabled comprehensive study of cell subpopulations within a heterogeneous population.