Single-cell RNA-Seq Gaining Steam

rna-seq RainDrop – Rapid activation matrix computation for droplet-based single-cell RNA-seq reads (7/30/2020) - Obtaining data from single-cell transcriptomic sequencing allows for the investigation of cell-specific gene expression patterns, which could not be addressed a few years ago. With the advancement of droplet-based protocols the number of studied...
rna-seq Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis (6/15/2020) - Single-cell omics provide insight into cellular heterogeneity and function. Recent technological advances have accelerated single-cell analyses, but workflows remain expensive and complex. Researchers at Roche Sequencing Solutions present a method enabling simultaneous, ultra-high throughput single-cell barcoding of millions of cells for targeted analysis of proteins and RNAs. Quantum barcoding (QBC) avoids isolation of single cells ...
How to Analyze Single Cell RNA-Seq Data: Point, Click, Done (6/11/2020) - How to Analyze Single Cell RNA-Seq Data: Point, Click, Done June 24, 2020 11:00 a.m. EDT ************** *REGISTER* ************** Single cell mRNA sequencing allows for the identification of different cell subtypes in a progenitor population. During pancreatic development, Neurog3 positive cells are destined to become endocrine cells generating alpha cells, beta cells, and delta cells. ...
Single-cell profiling of total RNA using Smart-seq-total (6/5/2020) - The ability to interrogate total RNA content of single cells would enable better mapping of the transcriptional logic behind emerging cell types and states. However, current RNA-seq methods are...
rna-seq PETRI-seq – prokaryotic single-cell RNA sequencing by in situ combinatorial indexing (5/27/2020) - Despite longstanding appreciation of gene expression heterogeneity in isogenic bacterial populations, affordable and scalable technologies for studying single bacterial cells have been limited. Although single-cell RNA sequencing (scRNA-seq) has...
rna-seq Mapping cell types by single cell sequencing in a Parkinson’s disease cell therapy model (5/22/2020) - Many severe symptoms in Parkinson’s disease are caused by the degeneration of the brain’s dopamine neurons. Transplantation of stem cell-derived dopamine neurons to patients with Parkinson’s disease is a therapeutic approach that is getting close to...
rna-seq Single-cell RNA seq method developed to accurately quantify cell-specific drug effects in pancreatic islets (5/13/2020) - Researchers from Stefan Kubicek's and Christoph Bock’s groups, at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, have developed a method to...
rna-seq Big Data Portal – BioTuring offering free access to the largest single-cell database during lockdown (5/8/2020) - BioTuring has recently launched their Big Data Portal. This enables scientists worldwide to connect to their server and analyze in real time the largest collections of single-cell datasets. With a lot of engineering effort (100X in speed improvement of gene marker finding algorithm, data compression, improvement in sparse matrix read/write, scatter plot visualization, etc.), this ...
rna-seq Systematic comparison of single-cell and single-nucleus RNA-sequencing methods (5/7/2020) - The scale and capabilities of single-cell RNA-sequencing methods have expanded rapidly in recent years, enabling major discoveries and large-scale cell mapping efforts. However, these methods have not been systematically and comprehensively...
WEBINAR: Tissue Transcriptomics Data Analysis in Partek® Flow®: Data Import, Analysis, and Visualization (3/31/2020) - Tissue transcriptomics is a family of techniques designed to allow transcriptomic profiling of cells within a tissue. It has gained a lot of attention over the past two years and is paralleling and extending advances made in single cell RNA-Seq technology. Join us for a webinar where we will demonstrate the analysis of 10x Visium ...

A slew of recent high profile papers and upcoming conferences highlight the growing interest in single-cell transcriptomics.