RNA-Seq Blog Transcriptome Research & Industry News
Single-cell transcriptome analysis has been extensively applied in humans and animal models to uncover gene expression heterogeneity between...
Read More »A robust method of nuclei isolation for single-cell RNA sequencing of solid plant tissues
Integrating barcoded neuroanatomy with spatial transcriptional profiling
There are billions of neurons in the human brain, and scientists want to know how they are connected. Cold Spring Harbor Laboratory (CSHL) Professor of Neurosciences Anthony Zador, and colleagues Xiaoyin Chen and Yu-Chi Sun, published a...
Read More »Single-cell map of early stage lung cancer and normal lung sheds light on tumor development, new therapeutic targets
Researchers at The University of Texas MD Anderson Cancer Center have developed a first-of-its-kind spatial atlas of early-stage lung cancer and surrounding normal lung tissue at single-cell resolution...
Read More »Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis
Recently structural network control methods which exploit structural controllability of complex networks have become a powerful analysis tool for identifying driver nodes (e.g., driver genes or drug targets) in...
Read More »Single-nucleus RNA sequencing explains why some neurons are more susceptible than others in Alzheimer’s disease
In the brain of a person with Alzheimer’s disease, neurons degenerate and die, slowly eliminating memories and cognitive skills. However, not all neurons are impacted equally. Some types of neurons in certain brain regions are more susceptible, and even among ...
Read More »RNA-Seq data suggests that exitron splicing represents an additional cancer-driving mechanism beyond genetic alterations
Northwestern Medicine studies are improving the understanding of epigenetic mechanisms in cancer development and progression, as well as pinpointing...
Read More »ac4C-seq – quantitative nucleotide resolution profiling of RNA cytidine acetylation
A prerequisite to defining the transcriptome-wide functions of RNA modifications is the ability to accurately determine their location. NCI researchers have developed N4-acetylcytidine (ac4C) sequencing (ac4C-seq), a protocol for the quantitative single...
Read More »Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data
Trips-Viz is an interactive platform for the analysis and visualization of ribosome profiling (Ribo-Seq) and shotgun RNA sequencing (RNA-seq) data...
Read More »Cell-level metadata are indispensable for documenting single-cell RNA sequencing datasets
Single-cell RNA sequencing (scRNA-seq) provides an unprecedented view of cellular diversity of biological systems. However, researchers from University of Colorado School of Medicine estimate that, across the...
Read More »Strategies for detecting and identifying biological signals amidst the variation commonly found in RNA sequencing data
RNA sequencing analysis focus on the detection of differential gene expression changes that meet a two-fold minimum change between groups. The variability present in RNA sequencing data may obscure...
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