Tag Archives: transcriptome analysis

Cerebral cavernous malformations (CCMs) are low-flow vascular malformations in the brain associated with recurrent hemorrhage and seizures. Despite accumulating evidence demonstrating the role of lncRNAs in cerebrovascular disorders, their identification in CCMs pathology remains unknown. The objective of this study ...

Comparing the abundance of one RNA molecule to another is crucial for understanding cellular functions but most sequencing techniques can target only specific subsets of RNA. In this study, researchers from the Université de Sherbrooke used a new fragmented ribodepleted TGIRT ...

11-15 June 2018 – Berlin, Germany Course Overview RNA-Seq technology has been transformative in our ability to explore gene content and gene expression in all realms of biology, and de novo transcriptome assembly has enabled opportunities to expand transcriptome analysis ...

Single-cell RNA sequencing (scRNA-seq) technologies are poised to reshape the current cell-type classification system. However, a transcriptome-based single-cell atlas has not been achieved for complex mammalian systems...

Non-coding RNA transcripts, such as long non-coding RNAs, miRNAs, siRNAs, and transposon-originating transcripts, are involved in the regulation of RNA stability, protein translation, and/or the modulation of chromatin states. RNA-Seq can be used to catalog this diversity of novel transcripts ...

A series of recent peer-reviewed scientific publications highlights the growing use of Single Molecule, Real-Time (SMRT®) Sequencing to annotate plant and animal genomes. These reports from the genomics community show that PacBio sequencing consistently detects more genes, alternative splicing events, ...

Molecular signatures identified from high-throughput transcriptomic studies often have poor reliability and fail to reproduce across studies. One solution is to combine independent studies into a single integrative analysis, additionally increasing sample size. However, the different protocols and technological platforms ...

The recent advances in next generation sequencing technology have made the sequencing of RNA (i.e., RNA-Seq) an extemely popular approach for gene expression analysis. Identification of significant differential expression represents a crucial initial step in these analyses, on which most ...

Next generation sequencing (NGS) can globally interrogate the genetic composition of biological samples in an unbiased yet sensitive manner. Researchers from Tulane University utilized the capabilities of NGS to investigate the reported association between glioblastoma multiforme (GBM) and human cytomegalovirus ...

Winner of the Preuss Research Award, Andrew Venteicher, MD, PhD, presented his research, Cellular Architecture of Human IDH1-mutant Gliomas Revealed Using Single-cell RNA Sequencing, during the 2016 American Association of Neurological Surgeons (AANS) Annual Scientific Meeting. Heterogeneity among tumor cells ...