Single Cell Discoveries

🔬 Most single-cell experiments are limited by budget, not ambition. So, where do you invest more, in sequencing depth or in capturing more cells? If you’re facing this trade-off, this short blog can walk you through how to think about it: https://lnkd.in/eQcGisQA

We are proud that SCD is part of the PERSIST-SEQ consortium, contributing to this important effort to uncover the transcriptomic roots of therapy resistance in cancer and help advance more effective, durable treatments!

Discovery-seq provides a scalable, high-throughput alternative to traditional bulk RNA-seq and serves as an optimized evolution of DRUG-seq workflows. Designed for large-scale screening studies, it enables robust transcriptome profiling across thousands of samples with reduced technical bias and standardized, automation-ready processing. This service is particularly well-suited for perturbation and compound screens where throughput, consistency, and cost efficiency are critical. Download our info-guide to learn more about this DRUG-seq alternative: https://lnkd.in/eDjtzvZa

Single-cell CRISPR screens are transforming how we study gene function at scale. This blog explains how perturbations, paired with single-cell readouts, enable deeper functional insights into complex cell populations. It walks through the core concepts, experimental design considerations, and why this approach outperforms bulk screening methods. Check out the blog here: https://lnkd.in/eF8-V4xi

From rare cell states to disease-driving transcriptional programs, our technologies help uncover biology others miss. Below are four example application areas where our solutions are making an impact, just a snapshot of what is possible when you work with us. Do you have a biological question that we can help you with? Book a meeting to discuss the possibilities: https://lnkd.in/eBRxGmMd

Choosing the right RNA sequencing approach shouldn’t feel like guesswork! With bulk RNA-seq, single-cell, and rapidly evolving spatial technologies all on the table, it’s easy to feel overwhelmed when designing a transcriptomics experiment. In this webinar, Dylan Mooijman, CTO of Single Cell Discoveries, breaks RNA sequencing back down to first principles. The webinar covers what single-cell sequencing is, how to choose and design the right scRNA-seq workflow, and where emerging single-cell and spatial technologies are headed. Click here to download the webinar recording: https://lnkd.in/etDkw62H

Single-cell datasets are growing rapidly, with hundreds of thousands to millions of cells. That scale brings powerful insights, especially for rare biology, but it also creates real challenges for data analysis. In our latest blog, we share practical, effective strategies for working with large single-cell datasets, including how to design your analysis for scale, use sketching to preserve important structure, and handle QC, normalization, and batch effects in ways that keep work efficient and reproducible. 💻 If you want to spend less time waiting on compute and more time interpreting biology, check it out: https://lnkd.in/eZ63enzT

🧬 When data quality matters, choose expertise, not shortcuts. In transcriptomic research, cheaper isn't always better. Low-cost providers often rely on rigid, high-throughput pipelines that prioritize volume over precision, leaving little room to choose the right technology or align it with the specific biological question with a personalized touch. At Single Cell Discoveries, we aim to be the most reliable, scientifically aligned, and quality-driven partner in your research. Why researchers trust SCD: ✅ Built by scientists, for scientists: Our experienced team collaborates with you to understand your goals and ensure the right technology is used to generate data that answers your research questions. ✅ Attention to detail: We can tailor your sample preparation to your sample types. ✅ Uncompromising data quality: A bioinformatician carefully reviews every dataset before it is sent. We catch potential issues early. Don't settle for the cheapest option if your research depends on trustworthy, high-impact data. Choose a partner who puts science first. 📩 Let's talk about how we can support your next project: https://lnkd.in/eBRxGmMd

Discovery-seq, our DRUG-seq alternative, enables scalable transcriptomic phenotyping to better understand drug perturbations and the mechanism of action. In this webinar, we introduce a sensitive and cost-efficient workflow designed to support large-scale screening experiments. Learn how this approach facilitates: ✅ Transcriptome-level readouts across hundreds to thousands of samples ✅ Drug perturbation studies in cell lines and organoids ✅ Seamless implementation in 384- and 96-well plate formats ✅ High-content data generation without sacrificing throughput or cost 🎥 Watch the on-demand webinar: https://lnkd.in/eSy3N94X

🔔 Only 2 days left to register! Curious about what your T-cell repertoire is actually telling you? ImmuneWatch and Single Cell Discoveries are hosting a deep-dive webinar to help researchers extract meaningful biological insights from single-cell TCR sequencing, extending beyond data collection. Whether you’re focused on immunology, oncology, infection, or autoimmunity research, this webinar offers practical strategies to bridge experimental design with meaningful repertoire annotation. Reserve your spot now: https://lnkd.in/eJXz4Pxd