Why Every Single-Cell Experiment Needs a Pilot
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…
Blog
Read about our latest news, updates, top-notch science, and learn more about the ins and outs of single-cell sequencing.
Single-cell spatial transcriptomics pinpoints drug-tolerant niches in colorectal-cancer liver metastasis
In this case study, we describe our collaboration with the Colorectal Cancer Laboratory at IRB Barcelona. Through our end-to-end spatial workflow service built around Visium HD technology, we supported the identification of distinct micro-niches of colorectal cancer cells that persist after FOLFOX chemotherapy. Together, these insights provide a roadmap for developing more effective combination therapies.
The cost of single-cell sequencing and how to keep it under control
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…
Transcriptomics vs Proteomics in the Single-Cell and Spatial Era
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…
Reference genomes in transcriptomic data
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…
Why should you clean up your FASTQ files?
You have received a few tens or hundreds of gigabytes of sequencing data in the form of FASTQ files. If you are not yet familiar with this format, the amount of data can feel overwhelming at first. What do you do with these…
Sequencing vs. Imaging in Spatial Transcriptomics: How to Choose the Right Approach
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…
Your daily scRNA-seq data tasks: Tips-and-Tricks
Single-cell RNA sequencing (scRNA-seq) data analysis is not just pressing one button. To get from raw FASTQ files to exploratory reports or publication-ready plots, you will need to: Preprocess your…
Best Single-Cell RNA Sequencing for Fixed Samples: Flex vs QuantumScale vs Evercode WT
Single-cell RNA sequencing (scRNA-seq) technologies have advanced quickly in recent years. One of the most impactful developments is the ability to work with fixed samples. This innovation allows researchers to…
What Are Your T Cells Really Doing? A Journey Through TCR Single-Cell Data and Epitope Annotation
T cells don’t just patrol the immune system; they remember, recognize, and respond. At the center of this ability is the T cell receptor (TCR), a molecular antenna tuned to…
How to choose the right transcriptomic approach: bulk, single-cell, spatial, or combined?
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…
Beyond Mouse and Man: How to make single-cell sequencing work in non-model species
From corals and camels to companion animals, biologists are increasingly turning to single-cell RNA-seq (scRNA-seq) to explore organisms that fall outside the mouse and human comfort zone. The payoff is…