Researchers studying gene expression have access to vast amounts of data from cells or tissues. This is thanks to advances in ...

RNA sequencing refers to techniques used to determine the sequence of RNA molecules. It includes high-throughput shotgun sequencing of cDNA molecules obtained by reverse transcription from RNA ...

Immunotherapies based on cancer metabolism have been developed but have yet to show success in clinical trials. RNA sequencing (RNAseq) is one of the most commonly used techniques in life sciences, ...

近日，美国得克萨斯大学西南医学中心Yunsun Nam团队揭示了癌症相关突变如何通过改变METTL3-METTL14复合体对RNA甲基化（m6A）的特异性来促进肿瘤发生。研究发现，METTL14的R298P突变能够改变m6A的序列偏好，优先修饰含有GGAU ...

KAIST researchers have discovered a molecular switch that can revert cancer cells back to normal by capturing the critical ...

Using a new technology and computational method, researchers from Fred Hutch Cancer Center and The University of Texas MD ...

From understanding hereditary diseases to predicting drug responses, sequencing helps researchers uncover the subtle language ...

To search for novel CeD biomarkers, we used single-cell RNA sequencing (scRNAseq) to investigate PBMC samples from 11 children before and after seroconversion for CeD and 10 control individuals ...

In recent years, scientific advancements have transformed our understanding of diseases, particularly at the cellular level.

R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

Organoids were cultured from healthy donor iPSC sources and differentiated using the human iPSC-derived Cerebral Organoid ...