We include a preliminary data analysis report in all our services. Here, we explain how they work, what to expect from single-cell experiments, and our services. Single-cell RNA sequencing returns data in quantities and complexities that can seem daunting for the average scientist. FASTQ files, BAM files, and gene count tables are the basis for data analysis. But they are not an accessible read and require relatively advanced programming before you can gauge data quality or view single-cell clusters. This can be made more user-friendly. Hence, we deliver a preliminary data analysis report incl ..read more

We are thrilled to welcome Unai Escribano Vazquez to our team as our new Team Lead next-generation sequencing (NGS). In this role, Unai will be responsible for coordinating the NGS team, managing the new sequencing facilities and collaborating with the R&D team to widen our sequencing applications. With a PhD in intestinal physiopathology and a background in microbiology and molecular biology, Unai brings a wealth of scientific expertise to our team. He has a particular passion for next-generation sequencing and has gained extensive experience in this area through his work in academia and ..read more

The 10x Genomics Single Cell Gene Expression Flex kit for fixed RNA profiling expands sample access to include fresh, formaldehyde-fixed, and FFPE tissues for single-cell or single-nucleus RNA sequencing. How does it work? What are its capabilities, and what are its limitations? As a scientist or pharmaceutical researcher, you constantly seek new technologies and methods to help you understand cellular and molecular mechanisms that drive disease pathogenesis or drug response. Single-cell RNA sequencing (scRNA-seq) is a powerful tool that enables profiling the transcriptomes of individual cells ..read more

What happens if you combine SORT-seq and microscopy-based spatial annotation? A group of scientists made that high-tech merger happen, generating a single-cell dataset with high transcript counts and tissue-context information. They used it to investigate a source of heterogeneity and metastasis in cancer. We often want to have the best of both worlds. With transcriptome-wide spatial profiling, current technologies lack single-cell resolution and/or have relatively low transcript counts compared to single-cell RNA sequencing. As a result, spatial transcriptomic data likely omits lowly expresse ..read more

Single-cell RNA sequencing (scRNA-seq) experiments come in many shapes and sizes, and a 10x Genomics price may differ significantly per project. Here, we explore the four factors determining the pricing of your 10x Genomics project: the technology you need, the number of samples, the number of cells per sample, and the sequencing depth. 1. The technology you need 10x Genomics’ single-cell sequencing technologies (often called solutions) are performed on the Chromium Instrument. This instrument can run various technologies that enable analyzing the transcriptome, chromatin accessibility, or T a ..read more

We are elated to welcome Virginia Palomares Cabeza, PhD, to our team as our new Scientific Project Manager. In that role, Virginia is responsible for the coordination of timelines, capacity planning, and internal and external communications in complex projects. She obtained her double doctorate in Immunology and Regenerative Medicine at the Erasmus MC in Rotterdam and the UCD Dublin. She investigated the potential of mesenchymal stromal cells from pediatric sources to transform into bone tissue without negatively activating immune cells. After that, she worked on multiple projects in parallel ..read more

BioTuring has just released its latest software offering, the BioTuring BBrowserX. This Bioturing single-cell browser is designed to help researchers analyze and visualize large amounts of single-cell data quickly and easily. It is now available for all Single Cell Discoveries clients. BioTuring single-cell browser The BioTuring BBrowserX is a state-of-the-art data visualization and analysis tool that provides researchers with a streamlined, user-friendly Graphical User Interface (GUI) platform for analyzing single-cell datasets. Its built-in GPU acceleration gives BBrowserX the power to scale ..read more

Updates include improved data mapping accuracy and more diagnostics, visualizations, and descriptions in our enhanced interactive data reports. Our data team has done some premier work to finetune and optimize our data analysis pipelines. As a result, we have improved our data mapping process and significantly upgraded our preliminary data analysis reports. Current and future clients can expect more diagnostics, visualizations, and descriptions in our enhanced interactive data reports. Below you can find a detailed explanation of our updates per service. SORT-seq Our new SORT-seq data mapping ..read more

Cell type identification is currently one of the leading applications of single-cell RNA sequencing experiments. How do we do it? In this blog, we zoom in on the nine-step process that takes you from raw sequencing data to assigning cell type labels. Knowing what cells are present in your sample can serve many a purpose. Your goal might be to create a single-cell atlas of a heterogeneous tissue. Perhaps you want to characterize an immune response to a pathological condition. Or you may be aiming to understand a tissue’s multifaceted reaction to therapy. Researchers use single-cell RNA sequenci ..read more

One of the main challenges in single-cell data interpretation is cell type annotation. In this blog, we explain our process of collaborating with clients to analyze single-cell data and assign cell type identity labels. To give a name to something is a central act in the scientific endeavor, whether it concerns Linnaeus’ binomial nomenclature of species, the HUGO gene naming system, or the act of labeling cell types and subtypes in a tissue sample. When it comes down to single-cell RNA sequencing, we name and identify cell types based on their transcriptomes. Building on differences in their g ..read more