Discover the world of single-cell sequencing through our knowledge blogs. Explore essential information, gain valuable insights, and expand your understanding of single-cell sequencing.
Gene set enrichment analysis (GSEA) helps translate gene-level expression changes into broader biological processes. It starts with a ranked list of all tested genes, usually based on a signed statistic…
Single-cell sequencing has become an indispensable tool for pharmaceutical R&D. From identifying disease-driving cell populations to discovering predictive biomarkers and evaluating drug response, it provides a level of biological resolution…
RNA sequencing (RNA-seq) has become one of the most powerful tools for studying gene expression. However, not every project starts with abundant, high-quality RNA. Researchers often work with tiny biopsies,…
RNA sequencing has become a standard tool across drug discovery, translational research, and biomarker development. It allows researchers to measure how cells respond to disease, treatment, or genetic changes at…
Gene therapies are designed to deliver genetic material to specific cells, where it can modify, replace, or regulate disease-causing genes. As a result, accurate targeting is essential for both efficacy…
Deriving clear, meaningful biological insights from single-cell data begins long before library preparation. Independent reviews, such as the article by Sura et. al., show that more than half of RNA‑seq failures stem from pre‑analytical handling, long before library prep begins.
Toxicology studies the effects of chemical compounds on biological systems and evaluates their safety. It plays a central role in drug development, environmental testing, and consumer product evaluation. Traditional toxicity…
DRUG-seq is becoming a widely used transcriptomics method to study how compounds affect cellular biology at scale. In drug discovery, identifying compounds that produce a biological effect is only the…
Single-cell sequencing is one of the most powerful discovery tools in biology. In a single experiment, you resolve full transcriptomes across every major and minor cell type in your tissue….
There is one question that should precede almost every other decision in single-cell experiment design: “what is the rarest cell population I really care about?” Not which platform to use….
Single-cell projects now reach millions of cells. This scale improves statistical power and reveals rare biology. However, it also introduces real challenges. Memory limits slow data analysis. Runtimes stretch. Computationally…
Single-cell sequencing has never been easier to run and never easier to misinterpret. Today, you can pick a platform, send samples, and receive a dataset with thousands of cells and…