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Scientist Kevin Matthew Byrd, DDS, PhD, founder of the Human Cell Atlas Oral & Craniofacial Bio-network, publishes pre-print article using CellenicsⓇ
In their pre-print article, entitled “Evidence for polybacterial intracellular coinfection of epithelial stem cells in periodontitis”, Quinn T. Easter and Kevin Matthew Byrd from the American Dental Association (ADA) Science & Research Institute and their team of collaborators present the first integrated periodontal meta-atlas of single-cell RNA sequencing data using CellenicsⓇ open source software.
From novice to expert: The ultimate single-cell RNA-seq analysis course
In the rapidly advancing field of biotechnology, single-cell RNA sequencing is pivotal for understanding cellular heterogeneity. However, many biologists find themselves daunted by the complexities of bioinformatics. Challenges range from coding hurdles to software selection and data interpretation. Biomage introduces a solution: “Mastering Single Cell RNA-seq Data Analysis With Cellenics®”. Tailored for biologists, this self-paced course offers over 10 hours of video lessons and comprehensive PDF materials, eliminating the need for coding expertise. The course covers everything from the basics of single cell RNA sequencing to data processing, exploration, and effective visualization. Start your journey in mastering single-cell RNA-seq data analysis by enrolling at courses.biomage.net.
Leveraging Public scRNA-seq Data: A Guide to Repositories and Resources
Welcome to the thrilling world of single-cell RNA sequencing (scRNA-seq)! This cutting-edge technology has revealed the intricate details of cellular heterogeneity and shedding new light on the mysteries of biology. From studies of cancer biology to investigations of neural networks, public scRNA-seq datasets cover a wide range of organisms, tissues, and conditions, providing a rich resource for researchers of all backgrounds. In this blog post, we'll take you through some of the key publicly available scRNA-seq resources, and show you how to start searching for single-cell public data!
Cellenics® now supports data generated using BD Rhapsody™ technology
The BD Rhapsody™ Single-Cell Analysis System is able to perform high-throughput single-cell RNA sequencing , allowing researchers to analyze tens of thousands of cells in a single experiment. As of recently, Cellenics® users can upload files generated by the BD Rhapsody™ technology and perform scRNA-seq data analysis!
Biomarker discovery using scRNA-seq: what's the big deal?
Biomarkers have the potential to save lives.
Biomarkers are simply measurable characteristics of organisms, so this may seem like an overstatement. However, the use of biomarkers is becoming increasingly important both in clinical research and practice.
Recently, there has been a growing interest in using single-cell technologies to identify novel biomarkers. Single-cell RNA sequencing (scRNA-seq) is a powerful tool for identifying gene transcripts within individual cells and can be used to detect changes in gene expression that may be indicative of disease or may predict progression or outcome.
Single-cell RNA sequencing data analysis: 6 tools you need to know
Have you ever wondered which single-cell RNA-sequencing (scRNA-seq) data analysis software to choose? We have compiled a list of the best scRNA-seq data analysis tools to help you move your single-cell research forward.
Top 5 Most Revolutionary Uses of Single-Cell RNA Sequencing
The use of single-cell RNA sequencing (scRNA-seq) in biomedical research has skyrocketed in recent years. The reason for the growing popularity of this technology is that scRNA-seq enables researchers to understand the cellular heterogeneity and functional diversity in a sample . This has led to new and ground-breaking discoveries in several fields, including development, oncology, immunology, neuroscience, and the study of rare diseases. In this blog post, we take a detailed look at some of these recent breakthroughs through the lens of the main scRNAseq applications!
How scRNA-seq Became the New Hot Topic?
Despite their apparent similarities, cells can show unique characteristics when examined closely. A cell’s ability to function within the body depends on the right genes being switched on at the right time. Gene expression also varies according to the cell type and developmental stage. Looking at these details has been made possible with single-cell RNA sequencing!