Services
State-of-the-art RNA solutions
We offer multiple single-cell, spatial and bulk RNA sequencing services to best suit your biological question. Looking for a technology we don’t yet offer? Our R&D team is always seeking new challenges.
Trusted by
Our technologies
We offer single-cell, spatial, and bulk transcriptomics. Our <R&D team> [link] is actively developing novel single-cell sequencing technologies, multi-omic applications and spatial transcriptomics.
SORT-Seq
Single-cell transcriptomics method utilizing 384-well plates, ideal for low cell counts, FACS sorted populations, and pilot projects. Developed by our founder, exclusively offered by us.
10x Genomics
Certified Service Provider of the 10x Genomics Single Cell Gene Expression and Single Cell Immune Profiling solutions, ideal for high-throughput applications
Vasa-seq
Single-cell RNA sequencing method for full-length and total RNA, ideal for analyzing non-coding RNA and complete transcriptomes. Developed by one of our team members, exclusively offered by us.
bulk RNA sequencing
Comprehensive transcriptome analysis of pooled cell populations, ideal for limited starting material and large projects requiring cell population data.
Spatial Transcriptomics
Transcriptomics method for analysis of spatial gene expression and histology, ideal for the study of cell localization and cell-cell interactions.
How we work
Project design
Strategize with our PhD-level account executives to decide between multiple single-cell technologies, including two exclusively offered by us. Leverage our experience with 200+ clients over 1000+ unique projects.
Sample processing
Run in our purpose-built single-cell lab with Illumina Novaseq X. Benefit from our experience with 8500+ samples sequenced in 40+ organisms and 30+ tissue types with over 10M cells sequenced.
Data analysis
Gain quick insights into your single-cell data with our preliminary analysis report with QC, clustering, and differential gene expression.Uncover biological insights through custom data analysis with our bioinformaticians who have processed over 50 terabytes of singe-cell data.
Why choose Single Cell Discoveries?
We are single-cell
sequencing experts
We are 100% focused on single-cell and spatial transcriptomics, enabling us to take on both large-scale projects and create customized solutions for each client project.
Our experience is
unmatched in the field
We have been working in the single-cell field since 2012. Our co-founder and CEO Mauro Muraro published our SORT-seq technology, and our R&D consultant is the mind behind VASA-seq. We have experience in over 40 organisms and 30 tissues and are able to quickly adapt workflows for novel samples.
We work as a
collaborative partner
We are dedicated to maintaining a high-touch, collaborative relationship with clients as we scale our capacity to accommodate larger projects. We act as a thought partner and a catalyst for biological discovery.
We help you stay
ahead of the curve
We are committed to continuously integrating leading-edge technologies into our service offerings to ensure clients have access to the latest advancements. Our R&D department works to both internalize the best commercial platforms and advance our own single-cell innovations.
"The service of Single Cell Discoveries guarantees a smooth process between customer and company. In case of problems or questions, the scientists reacted competently and immediately, so that answers could be found quickly and flexibly. The staff is very friendly in dealing with the customer. Many thanks for the great cooperation."
Prof. dr. Stella Autenrieth & Susanne Pfrommer
German Cancer Research Center
“Fantastic job made by a really professional and friendly team. I strongly recommend Single Cell Discoveries for sequencing services."
Samuel García Pérez
German Cancer Research Center
Case Studies
Learn more about the results of our services—from a client perspective.
Université de Strasbourg and INSERM
Drug Discovery for Precancerous Liver Disease
Publications
Explore client publications using our services.
The EMT transcription factor ZEB1 governs a fitness-promoting but vulnerable DNA replication stress response
The authors discover a chemoresistant ZEB1-high-expressing subpopulation of cancer cells. Then, they use SORT-seq to study the transcriptomes of ZEB1-high- and low-expressing cells. They find changes in cell cycle progression and DNA damage response, which creates stress resistance. This is found to, at the same time, create a targetable vulnerability in chemoresistant ZEB1-high-expressing cancer cells, which could be exploited in therapy.
- DOI: 10.1016/j.celrep.2022.111819
- PMID: 36516781
- Services: SORT-seq
- Species: Human
- Sample type: Cell culture, Tumor tissue
High-throughput total RNA sequencing in single cells using VASA-seq
Our R&D consultant Salmén developed VASA-seq to detect the total transcriptome in single cells, which is enabled by fragmenting and tailing all RNA molecules after cell lysis. Applied to developing mouse embryos, they found cell type markers, many based on non-coding RNAs, performed cell cycle analysis, and characterized important splicing events during development.
- DOI: 10.1038/s41587-022-01361-8
- PMID: 35760914
Mammalian life depends on two distinct pathways of DNA damage tolerance
The team applied SORT-seq on mouse embryos to investigate how DNA damage toleration (DDT) deficiency affected the hematopoietic stem cell subset in the so-called LSK compartment. Ultimately, DDT deficiency results in DNA damage accumulation and depletion of hematopoietic stem cells. Meanwhile, it promotes the survival of cells expressing erythroid transcription factor KLF1. These insights indicate a novel molecular mechanism that regulates hematopoietic output in response to DNA damage.
- DOI: 10.1073/pnas.2216055120
- PMID: 36669105
- Services: SORT-seq
- Species: Mouse
- Sample type: Blood, Stem cells
How can we help?
Want to supercharge your project with single-cell insights?
Connect with our PhD-level scientists to discuss your biological question, timeline, sample types, and other customizations for your single-cell analysis.