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.
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 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…
Single-cell sequencing has a reputation for being expensive. And yes, if done without planning, it absolutely is. But the real cost problem usually isn’t the technology itself. It’s poor experimental…
Understanding complex tissues and diseases requires more than a single readout. By combining bulk, single-cell, and spatial transcriptomics with targeted proteomic validation, we can now follow and understand biology from…
You have finally received your sequencing data and can’t wait to start analyzing it! But here’s the catch: raw FASTQ files alone won’t get you far. To extract meaningful biological…
Different transcriptomics methods offer different levels of detail, cost, and usefulness depending on the type of sample and the research question. Transcriptomics refers to the study of gene expression by…