Tag Archives: Weizmann Institute of Science

scRNA-seq profiles each represent a highly partial sample of mRNA molecules from a unique cell that can never be resampled, and robust analysis must...

RNA-Seq technology is routinely used to characterize the transcriptome, and to detect gene expression differences among cell types, genotypes and conditions. Advances in short-read sequencing instruments such as Illumina Next-Seq have yielded easy-to-operate machines, with high throughput, at a lower ...

Cancer arises when cells lose control. Deciphering the "blueprint" of cancer cells - outlining how cancer cells hijack specific pathways for uncontrolled proliferation - will lead to more efficient ways to fight it. Joint effort of scientists from the Weizmann Institute of Science and clinicians from major hemato-oncology departments in Israel succeeded...

Spatially resolved single-cell RNA sequencing (scRNAseq) is a powerful approach for inferring connections between a cell's identity and its position in a tissue. Researchers at the Weizmann Institute of Science recently combined scRNAseq with spatially...

Alzforum – Using single-cell transcriptomics, researchers at the Weizmann Institute of Science identify a specific subset of microglia that surround plaques. The cells express proteins that break down lipids and gobble up Aβ deposits. The activation of these disease-associated microglia ...

A new combined method may finally give scientists a tool fine enough to probe life’s most nuanced processes What combinations of mutations help cancer cells survive? Which cells in the brain are involved in the onset of Alzheimer’s? How do ...

One of the key applications of next-generation sequencing (NGS) technologies is RNA-Seq for transcriptome genome-wide analysis. Although multiple studies have evaluated and benchmarked RNA-Seq tools dedicated to gene level analysis, few studies have assessed their effectiveness on the transcript-isoform level. ...

The advent of Next Generation Sequencing technologies and corresponding bioinformatics tools allows the definition of transcriptomes in non-model organisms. Non-model organisms are of great ecological and biotechnological significance, and consequently the understanding of their unique metabolic pathways is essential. Several ...