Deciphering gene expression patterns using large-scale transcriptomic data
Gene expression, the process by which genes are activated to produce proteins, is a cornerstone…
Browsing: gene expression
ELATUS – uncovering functional lncRNAs by scRNA-seq
Long non-coding RNAs, or lncRNAs, are an important part of our genetic code, but they…
International canine gene research database accelerates biomedical research
A new database covering over 100 different canine tissues can significantly enhance our understanding of…
MST-m6A – a novel multi-scale transformer-based framework for prediction of m6A modification sites
In recent years, scientists have found that cells use small chemical “tags” on RNA molecules…
RNA Sequencing reveals shared gene expression patterns between Alzheimer’s disease and alcohol use disorder
By examining RNA in hundreds of thousands of individual brain cells, Scripps Research scientists further…
Leveraging a comprehensive unbiased RNAseq database to characterize human monocyte-derived macrophage gene expression profiles
Macrophages are crucial players in our immune system, known for their ability to adapt to…
RNA Institute study explores cellular response to Zika Virus infection
Developing new drugs to treat and prevent viral infections requires a precise understanding of how…
Leveraging deep single-soma RNA sequencing to explore the neural basis of human somatosensation
Our ability to feel sensations like touch, pain, and temperature relies on a group of…
scHetG – Structure-preserved integration of scRNA-seq data using heterogeneous graph neural network
Single-cell RNA sequencing (scRNA-seq) is a powerful technique that allows scientists to study individual cells…
Seq-Scope – repurposing Illumina sequencing flow cells for high-resolution spatial transcriptomics
Spatial transcriptomics (ST) is reshaping how scientists study gene expression in tissues. Traditional methods like…