Gene Expression

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Single-Cell Gene Expression

quantitative analysis of phenotype functionality


Single-cell gene expression is a technique that measures the transcriptome of individual cells. It provides the unbiased approach to identify population clusters and changes within and between populations. Single cell gene expression services can help reveal the prevalence, heterogeneity, and gene co-expression of different cell types and states. This can help to understand the gene regulatory networks and intercellular pathways that are involved in various biological processes. The combination of efficient gene expression profiling with advanced bioinformatics unlocks the full potential of single-cell RNA-seq. At SeqMatic, our studies on gene expression analysis encompass RNA expression, promoter analysis, protein expression, and post-translational modification. If you need your samples sequenced right away, check out our Express Services

Available Run Types:

10x Genomics
can process:

20K cells (1-16 samples) using Chromium HT kit
Up to 160K cells (1-16 samples) using Chromium Flex kit
Up to 2.5M cells (1-256 samples) using Chromium Flex kit

Parse Biosciences
can process:

10K cells (1-12 samples) using WT/TCR Mini kit
100K cells (1-48 samples) using WT/TCR kit
1M cells ( 1-96 samples) using WT/TCR Mega kit

We can process full workflows or accept your fresh cells, GEMs, cDNAs or prepared libraries.

Your S.F. Bay Area Advantage!
To maintain maximum sample viability, your samples can be transported to us
within 1 to 2 hours from any where in the SF Bay Area – Request a Quote!

SeqMatic’s Premium Services
”Onsite-SeqTM brings our experts to your lab
“Fetch-SeqTM courier pick-up in the S.F. Bay Area

Lavagi-Craddock, Irene, et al. “Transcriptome analysis of citrus dwarfing viroid induced dwarfing phenotype of sweet orange on trifoliate orange rootstock.” Microorganisms 10.6 (2022): 1144.
Aldinger, Kimberly A., et al. “Spatial and cell type transcriptional landscape of human cerebellar development.” Nature Neuroscience 24.8 (2021): 1163-1175.
Kumar, Senthil R., et al. “RNA cargos in extracellular vesicles derived from blood serum in pancreas associated conditions.” Scientific reports 10.1 (2020): 2800.
Find other Research Publications from around the world!

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