High-quality acinar cell isolation enables single-cell analysis of healthy and injured pancreas
Studying the pancreas at the single-cell level is essential for understanding diseases like pancreatitis and pancreatic cancer. However, isolating healthy pancreatic cells has been difficult because enzymes in the tissue can quickly damage cells and degrade RNA, making it ...
Single-cell total RNA sequencing expands our view of gene regulation
Understanding how genes are turned on and off in individual cells is essential for studying development and disease. Most single cell RNA sequencing methods focus on polyadenylated RNA, which mainly captures protein coding transcripts, but misses many important noncoding ...
Circular RNA replicons discovered in hot springs expand microbial diversity
Scientists are continuing to uncover new types of genetic elements that challenge how we think about life at the molecular level. One such group is called covalently closed circular RNA replicons, small rod-shaped RNA molecules that can replicate themselves ...
Mapping mutation-driven RNA drug interactions with sequencing-based profiling
Small changes in DNA can have a big impact on how cells function. In cancer, mutations often alter how RNA molecules fold and behave. These structural changes can affect how RNA interacts with drugs, especially small molecules designed to ...
A New Method for Nanopore Direct RNA-Seq Pushes the Limits of Long Transcript Identification and Isoform Resolution
Direct RNA sequencing (DRS) on nanopore platforms promises something short-read methods cannot: native RNA molecules read end-to-end, with isoforms, long transcripts, and RNA modifications preserved. In practice, however, many labs find that conventional DRS workflows underdeliver on that promise...
Innovative bead design will enhance single-cell transcriptomics accuracy
Researchers at NDORMS have made an important advancement in the field of single-cell transcriptomics by developing a novel bead design that reduces errors in DNA synthesis and improves the reliability of gene expression measurements. Single-cell transcriptomics has revolutionised the ...
Optimized methods for scRNA-seq and snRNA-seq of skeletal muscle stored in nucleic acid stabilizing preservative
Single-cell studies have revolutionized the way we understand diseases by showing how individual cells behave differently, even within the same tissue. However, these studies often rely on freshly collected samples, which can make global collaborations and research on archived ...
STARmap – three-dimensional intact-tissue sequencing of single-cell transcriptional states
Retrieving high-content gene-expression information while retaining three-dimensional (3D) positional anatomy at cellular resolution has been difficult, limiting integrative understanding of structure and function in complex biological tissues. Stanford...
SPLiT-seq – single-cell profiling with split-pool barcoding
To facilitate scalable profiling of single cells, engineers at the University of Washington have developed split-pool ligation-based transcriptome sequencing (SPLiT-seq), a single-cell RNA-seq (scRNA-seq) method that labels the cellular origin of RNA through combinatorial barcoding. SPLiT-seq is compatible with fixed ...
Highly parallel direct RNA sequencing on an array of nanopores
Sequencing the RNA in a biological sample can unlock a wealth of information, including the identity of bacteria and viruses, the nuances of alternative splicing or the transcriptional state of organisms. However, current methods have limitations due...














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