Single-cell Sequencing
Get the answers you need with single-cell sequencing
There are 40 trillion cells in the human body. Each cell type provides a different function, and each cell has its own evolving agenda. Single-cell analysis unravels these cell communities and identifies critical information often overlooked by bulk approaches.
Single-cell sequencing data is becoming more accessible due to technology advances which are simplifying experiments and reducing costs.
Revvity has solutions for key steps of your single-cell sequencing journey - specifically designed to work alongside your existing processing steps, making implementation simple.
For research use only. Not for use in diagnostic procedures.
Explore our single-cell sequencing solutions:
- MojoSort™ magnetic bead-based separation system
- Cellometer automatic cell and nuclei counter
- Cellaca high throughput cell and nuclei counter
- TotalSeq™ oligo conjugated antibodies
And many more.
Enrichment
The isolation of specific cell populations from complex samples has become a routine lab procedure, made possible by the availability of highly specific antibodies that continue to push the limits of cell separation.
Magnetic bead separation systems work via “Positive Selection” or “Negative Selection” (also referred to as “Negative Depletion”). This depends on whether the antibodies target the cells of interest (positive selection) or unwanted cells (negative selection). In either case, separated fractions of cells can be used for downstream applications. You can simplify your cell isolation and purification with BioLegend’s MojoSort cell separation system.
Fluorescence-Activated Cell Sorting (FACS) is another technique used to separate cells based on their staining pattern with fluorescent antibodies. With thousands of antibody and fluorophore combinations, BioLegend can help you build the ideal panel to sort your cells or confirm the phenotype of isolated cells.
Normalization
Accurate determination of cell concentration and viability of target cells is critical to minimize the variability in the number of loaded cells. High fractions of non-viable cells or over and under estimations of cell number can also have a significant impact on recovery. Processing speed can also affect the number of viable cells in suspension as some cell types tend to form aggregates when kept in PBS for extended periods. Fragile cells may experience a decline in health if they are not processed and loaded immediately.
Match your throughput needs with our automated cell counting platforms that deliver accurate cell or nuclei counts from a wide range of primary populations, even when dealing with low sample volumes.
Protein capture
Increase the power of single cell experiments by combining proteomic and transcriptomic data within a single seamless workflow. In contrast to mRNA, TotalSeq antibody tags exhibit reduced susceptibility to dropouts. This, coupled with the ability to detect hundreds of proteins in a single cell, leads to enhanced sample clustering and the ability to better identify specific cell types.
Our TotalSeq oligo-conjugated antibodies can also be used to pool multiple samples before loading them onto a single-cell isolation platform, streamlining your research process.
Quality control
It is essential to identify low-quality libraries resulting from cell damage during an earlier processing step, as they have the potential to introduce inaccuracies during downstream analyses. These misleading results may interfere with the characterization of population heterogeneity or lead to false conclusions regarding gene regulation.
Our automated capillary electrophoresis separation platform performs accurate quantitation and sizing on 24 samples at a time.
Sequencing
Single-cell NGS libraries constructed with our kits are compatible with market leading solutions such as Illumina® or Element Biosciences® platforms.
Data analytics
Visualizing differential gene expression at the single-cell level can be challenging due to the high variability, errors, and background noise that can appear in the data. A dedicated analysis platform is needed to guide users to make sense of this complex data quickly and easily, without the need for extensive bioinformatics knowledge.
Our scRNA and multiomics platforms increase accessibility and remove scaling barriers caused by high-dimensional data.
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