Single-cell RNA sequencing provides scientists with important information about gene expression in health and disease.

Despite being genetically identical, bacteria can vary considerably in shape and size. Whether these variations affect ...

The AI unicorn's Perturb-seq atlas is publicly available and detects dose-dependent genetic effects to enhance predictive ...

This valuable study presents a novel approach to enhance the therapeutic potential of mesenchymal stromal cells (MSCs) by genetically modifying their glycogen synthesis pathway, resulting in increased ...

Systemic sclerosis (SSc) is a severe autoimmune disease with complex genetic causes. Some genetic contributors have been ...

A new single-cell RNA analysis method, STAMP, significantly reduces costs and biases, allowing for comprehensive profiling of ...

The ultimate aim of the collaboration is to build a single cell reference map that will enable virtual cell modeling and potentially help predict the effect of drugs in cancer patients - where ...

Scientists at St. Jude Children's Research Hospital, the National Center for Genomic Analysis and the University of Adelaide ...

Background and aims Quantifying systemic inflammation (SI) in acutely decompensated cirrhosis (ADC) is of major importance ...

State-of-the-art computational pipelines for single-cell RNA-sequencing data, however, still employ computational methods that were developed for traditional bulk RNA-sequencing data, thus not ...

This study provides useful information on the impact of Lamin A/C knockdown on gene expression using RNA-Seq analysis. In addition, the impact of Lamin A/C knockdown on telomere dynamics is explored ...

"We found that neutrophils — immune system cells recruited into the tumor environment — play a central role in supporting cancer progression." ...