Single-cell RNA-Seq Gaining Steam

rna-seq Global and targeted approaches to single-cell transcriptome characterization (10/16/2017) - Analysing transcriptomes of cell populations is a standard molecular biology approach to understand how cells function. Recent methodological development has allowed performing similar experiments on single cells. This has opened up the possibility to examine samples with limited cell number, such as cells of the early embryo, and to obtain an understanding of heterogeneity within ...
rna-seq Single-cell approaches to interrogate the transcriptome and proteome of islet cell types in health and disease (10/12/2017) - Blood glucose levels are tightly controlled by the coordinated actions of hormone-producing endocrine cells that reside in pancreatic islets. Islet cell malfunction underlies diabetes development and progression. Due to the cellular heterogeneity within islets, it has been challenging to uncover how specific islet cells contribute to glucose homeostasis and diabetes pathogenesis. Recent advances in single-cell ...
rna-seq SomaGenics Awarded NIH Funding to Develop NGS Single-Cell Analysis of Small RNAs (10/11/2017) - SomaGenics announced the receipt of a Phase I SBIR grant from the NIH to develop RealSeq®-SC (Single Cell), expected to be the first commercially available library preparation kit for profiling small RNAs (including microRNAs) from single cells using NGS methods. The NIH’s recent Single Cell Analysis Program highlights the need to accelerate development of approaches ...
rna-seq Single-cell transcriptomics to explore the immune system in health and disease (10/9/2017) - The immune system varies in cell types, states, and locations. The complex networks, interactions, and responses of immune cells produce diverse cellular ecosystems composed of multiple cell types, accompanied by genetic diversity in antigen receptors. Within this ecosystem, innate and adaptive immune cells maintain and protect tissue function, integrity, and homeostasis upon changes in functional ...
rna-seq Network embedding-based representation learning for single cell RNA-seq data (10/5/2017) - Single cell RNA-seq (scRNA-seq) techniques can reveal valuable insights of cell-to-cell heterogeneities. Projection of high-dimensional data into a low-dimensional subspace is a powerful strategy in general for mining such big data. However, scRNA-seq suffers from higher noise and lower coverage than traditional bulk RNA-seq, hence bringing in new computational difficulties. One major challenge is how ...
rna-seq Using neural networks for reducing the dimensions of single-cell RNA-Seq data (10/4/2017) - While only recently developed, the ability to profile expression data in single cells (scRNA-Seq) has already led to several important studies and findings. However, this technology has also raised several new computational challenges. These include questions about the best methods for clustering scRNA-Seq data, how to identify unique group of cells in such experiments, and ...
rna-seq Tutorial – High-Throughput Single-Cell RNA-Seq of Cells and Nuclei (10/2/2017) - Harnessing RNA-Seq to Create Gene Expression Profiles – from Genetic Engineering News – Jennifer Chew, Adam Bemis, Ronald Lebofsky, Ph.D., Anna Quinlan, Ph.D. , Kelly Kaihara, Ph.D. Complex biological systems rely on the coordinated activities of individual cells. The function of these cells can differ drastically, even within a single tissue, but capturing this heterogeneity is ...
rna-seq Chengyuan Genomics To Market Single Cell RNA Sequence Device In China (9/29/2017) - 1CellBiO Inc., a leading single-cell analysis company serving the biomedical research community, today announced that it has signed a reseller and license agreement with Hangzhou Chengyuan Genomics Company (Chengyuan), a premier life-science research and development start-up based in Hangzhou, China. Under the agreement, Chengyuan has agreed to provide single cell analysis research services to the rapidly growing ...
rna-seq Upcoming Workshop – Analysis of single cell RNA-seq data (9/28/2017) - Organizer: University of Cambridge Host institution: University of Cambridge Bioinformatics Training Start: Tuesday, 31 October 2017 @ 09:30 End: Wednesday, 01 November 2017 @ 17:00 Venue: Craik-Marshall Building City: Cambridge Country: United Kingdom Postcode: CB2 3AR Scientific topic: Transcriptomics, Functional genomics, Data visualisation, Data mining, Bioinformatics Target audience: Graduate students Postdocs and Staff members from ...
rna-seq Mirnovo – genome-free prediction of microRNAs from small RNA sequencing data and single-cells using decision forests (9/27/2017) - The discovery of microRNAs (miRNAs) remains an important problem, particularly given the growth of high-throughput sequencing, cell sorting and single cell biology. While a large number of miRNAs have already been annotated, there may well be large numbers of miRNAs that are expressed in very particular cell types and remain elusive. Sequencing allows us to ...

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