Galaxy Single Cell Analysis System

Cat. No.	Unit	Price	Quantity
DG01516216-01	EA	Inquiry

Product Description

Product Description

The system is based on microfluidic water-in-oil and microsphere coding technology, which coencapsulates individual cells with coded microspheres to code each microdroplet. When cells are lysed in microdroplets, nucleic acid sequences on coding microspheres are introduced into cDNA sequence, directly tag the genome of each cell with molecular markers. When analyzing sequencing data,genes are regressed to individual cells based on molecular labeling information, enabling the analysis of genetic information with single-cell level accuracy.

Workflow
· Cell-microsphere encapsulation
The isolated single-cell suspension was co-encapsulated with encoded microspheres and reverse transcription reagents in a single microdroplet.
· Reverse transcription
When cells are lysed in microdroplets, the barcode sequence on the encoding microsphere is introduced into the cDNA sequence, tagging each cell and its transcriptome with a specific molecule label separately.
· Library preparation
The QC-qualified cDNA is subjected to second generation sequencing library construction. The library is quantified by fragmentation, connected with sequencing adapter, and sample index PCR.
· Sequencing and analysis
After sequencing, the obtained data are subjected to quality control, comparison, cluster analysis, differential expression analysis, etc. by single-cell data analysis software, Starscope.

Features

· Flexible sampling
1-4 channels, flexible selection of the number of samples and the number of cells, convenient, fast, cost-saving.
· Easy operation
No droplet transfer is required after droplet encapsulation and demulsification, reducing droplet sample loss and human error.
· Unique design
Can be connected to a droplet sorter for library optimization, broadening sample compatibility, improving library quality and reducing sequencing costs.
· Low cost
All localized instruments and reagents are developed to significantly reduce the cost of library construction.
· Excellent performance
Can complete the isolation of hundreds to tens of thousands of cells at one time, with high sensitivity for gene detection.
· Good compatibility
The library is compatible with the mainstream sequencing platforms in the market.

Specifications

Platform portfolio
· Galaxy Single Cell Sequencing Library Construction Instrument
Sample channe: 1~4 channels, flexible selection for use
Cell capture amount: 200~20,000 cells/channe
Cell diameter: standard chip≤50 μm cell (can be customized)
Cell capture rate: ≥50%
Runtime: 7.5 min/1~4 samples (Different preparation times can be established for banked samples)
Device size: 28 cm * 36 cm * 22 cm

· Starscope
DPBio has developed a single-cell RNA-seq analysis software based on STARsolo and Seurat's nextflow pipeline. It provides a one-stop analysis solution that can complete the output from raw sequencing reads to cellular gene expression matrices and generate a complete HTML format data report. The report not only contains key results such as the number of cells and the average number of reads in a cell, but also outputs information such as saturation, mapping rate, barcode reads, and Q30 statistics of cDNA reads, which helps the user to comprehensively assess the quality of the data.

· scSpotilight
Biological information analysis software, scSpotlight, is a tool that provides an efficient and convenient solution for single-cell sequencing data analysis. Based on the highly recognized single-cell analysis algorithms and optimized data processing flow, scSpotlight can easily deal with complex single-cell sequencing data and help users to deeply explore the biological information. In addition, the software adopts an open-source strategy and is available to users free of charge, which further promotes the popularity and ease of use of domestic single-cell sequencing technology. In the fields of life science and medical research, scSpotlight has a wide range of applications, which can be used for gene expression analysis, cell type identification, disease mechanism exploration and other aspects, providing powerful support for researchers.