Spatial sequencing methods increasingly gain popularity within RNA biology studies. State-of-the-art techniques quantify messenger RNA expression levels from tissue sections and at the same time register information about the original locations of the...
Read More »A single–cell type transcriptomics map of human tissues
Single-cell RNA analysis has been integrated with spatial protein profiling to create a single–cell type map of human tissues...
Read More »The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge
Predicting cell locations is important since with the understanding of cell locations, we may estimate the function of cells and their integration with the spatial environment. Thus, the DREAM challenge on single-cell transcriptomics required participants to predict the locations of ...
Read More »A systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-Seq workflows
Single-cell RNA sequencing has been widely adopted to estimate the cellular composition of heterogeneous tissues and obtain transcriptional profiles of individual cells. Multiple approaches for...
Read More »A quantitative framework for evaluating single-cell data structure preservation by dimensionality reduction techniques
High-dimensional data, such as those generated by single-cell RNA sequencing (scRNA-seq), present challenges in interpretation and visualization. Numerical and computational methods for dimensionality reduction allow for low-dimensional representation of...
Read More »Improved nanopore read accuracy enables single-cell RNA sequencing
High-throughput short-read sequencing has revolutionized how transcriptomes are quantified and annotated. However, while Illumina short-read sequencers can be used to analyze entire transcriptomes down to the level of individual splicing events with great accuracy, they fall short of analyzing how ...
Read More »Researchers combine in vivo labeling, patch clamp, and single cell RNA-seq to correlate anatomy and function with gene expression in individual neurons
The classification of neurons into distinct types is an ongoing effort aimed at revealing and understanding the diversity of the components of the nervous system.
Read More »Single-cell transcriptomics to explore the immune system in health and disease
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 ...
Read More »Large discordance between transcriptome and proteome
During in vitro differentiation, pluripotent stem cells undergo extensive remodeling of their gene expression. While studied extensively at the transcriptome level, much less is known about protein dynamics, which can differ significantly from their mRNA counterparts. Here, researchers from Leiden ...
Read More »Post-doc Position Available – Single-Cell Transcriptomics
Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Headington, Oxford Grade 7: £31,076 – £38,183 with a discretionary range to £41,709 p.a. Applications are invited for Postdoctoral Researcher in Single-Cell Transcriptomics as part of a Wellcome Trust and Royal Society-funded ...
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