![]() ![]() However, these platforms are quite expensive to purchase and maintain which can be off putting to smaller labs or those who are new to scRNA-seq. This platform can generate hundreds of thousands of single cell partitions, each containing an identifying barcode for downstream analysis. The Chromium X series, however, is capable of a range of projects, from pilot studies to the highest-throughput analysis. ![]() However, it may not be ideal for researchers who are looking to conduct high-throughput studies. The instrument enables researchers to generate consistent and reproducible single cell results across experiments users and reduces errors introduced by manual pipetting. With their automated Chromium Connect researchers (or service providers) can go from cells to sequencing-ready libraries with 80% less hands-on time. Even within one manufacturer’s series of platforms there are subtle differences that favor certain samples or conditions over others.įor instance, 10X Genomics offers a variety of platforms and chemistries enabling profiling of gene expression and cell surface proteins. There are more single cell RNA platforms arriving on the market every year, however this abundance of choice also means it can be hard for researchers who are unfamiliar with scRNA-seq to know which one is best for them. Sampled works with clients to allow them to focus on what they do best, while we do the heavy lifting Which single cell RNA sequencing platforms should I use? Advancements in technology have also played a major role making it imperative that researchers choose the most appropriate methods for their research. Diabetes– To reveal wider gene expression patterns that are involved in Type I Diabetes to predict its development even predating autoantibody production.Īs scRNA-seq continues to become more widely adopted, new avenues for investigation are discovered.Stem cell differentiation in fetus development– In order to understand and define “loss of function” phenotypes in transcription factors and key regulatory factors.Immunology– To reveal key regulators of immune function and the cellular interplay between immune cells.Oncology– In order to investigate the RNA profiles for cell populations within tumors.Neurodegenerative disorders– To try to unravel the interplay between cellular processes in conditions such as Alzheimer’s and Parkinson’s disease.More specifically, there are many research fields that have already benefited from scRNA-seq including: Discovery of new cell types, subpopulations, or cell states.Characterization of complex cell populations.There are four broad types of investigation using Single Cell RNA sequencing: What are the Applications of Single Cell RNA Sequencing? Isolated cells are lysed before RNA is extracted (or fixed), reverse-transcribed into cDNA, and used as a template for high-throughput sequencing on platforms such as those from PacBio and Illumina. Several methods are available for isolating individual cells, such as micromanipulation, fluorescence-activated cell sorting (FACS), and microfluidics-based techniques. So how does it work? The first step in scRNA-seq involves isolating single cells and capturing the transcriptome before RNA depletion or degradation occurs. It has numerous applications in several research areas, including the study of cancer and immune-mediated diseases. Single cell RNA sequencing gives researchers the ability to peer into the unique molecular activity of individual cells, transforming our understanding of cellular biology. What is Single Cell RNA Sequencing and how does it work? Why should you outsource your samples with service provider like Sampled?. ![]()
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