RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative analysis of messenger RNA molecules in a biological sample and is useful for studying cellular responses. RNA-seq has fueled much discovery and innovation in medicine over recent years. ...
Read More »An evaluation of high-throughput isomiR identification tools
MicroRNAs carry out post-transcriptional gene regulation in animals by binding to the 3′ untranslated regions of mRNAs, causing their degradation or translational repression. MicroRNAs influence many biological functions, and dysregulation can therefore disrupt development or even cause death. High-throughput sequencing ...
Read More »Identifying cell populations with scRNA-Seq
Single-cell RNASeq (scRNASeq) has emerged as a powerful method for quantifying the transcriptome of individual cells. However, the data from scRNASeq experiments is often both noisy and high dimensional, making the computational analysis non-trivial. Here researchers from the Karolinska Institutet ...
Read More »Integrating RNA sequencing into neuro-oncology practice
Malignant tumors of the central nervous system (CNS) cause substantial morbidity and mortality, yet efforts to optimize chemo- and radiotherapy have largely failed to improve dismal prognoses. Over the past decade, RNA sequencing (RNA-seq) has emerged as a powerful tool ...
Read More »Can single-cell RNA sequencing crack the mystery of cells?
There is a rapid increase of evidence to address the importance of the interaction between single cells, drugs, and the response of single cells to therapies. Single-cell measurements were used to evaluate the DNA-damaging ability of the herbicide in freshly ...
Read More »Customized workflow development and data modularization concepts for RNA-Sequencing experiments
RNA-Sequencing (RNA-Seq) has become a widely used approach to study quantitative and qualitative aspects of transcriptome data. The variety of RNA-Seq protocols, experimental study designs and the characteristic properties of the organisms under investigation greatly affect downstream and comparative analyses. ...
Read More »Novel molecules – lncRNAs, tRFs and circRNAs deciphered from next-generation sequencing
Powerful next-generation sequencing (NGS) technologies, more specifically RNA sequencing (RNA-seq), have been pivotal toward the detection and analysis and hypotheses generation of novel biomolecules, long noncoding RNAs (lncRNAs), tRNA-derived fragments (tRFs) and circular RNAs (circRNAs). Experimental validation of the occurrence ...
Read More »Computational approaches for interpreting scRNA-seq data
The recent developments in high throughput single-cell RNA sequencing technology (scRNA-seq) have enabled the generation of vast amounts of transcriptomic data at cellular resolution. With these advances come new modes of data analysis, building on high-dimensional data mining techniques. Here, ...
Read More »Gene Expression Signatures for Cancer Patient Stratification: Are Results Ready for Clinical Application?
Head and neck squamous cell carcinoma (HNSCC) is the sixth leading cancer by incidence worldwide and considering the recent EUROCARE-5 population-based study the 5-year survival rate of HNSCC patients in Europe ranges between 69% in localized cases and 34% in ...
Read More »The diagnostic power of RNA-seq
Whole-exome sequencing (WES) and whole-genome sequencing (WGS) can only identify rare Mendelian genetic diseases in up to 50% of cases; our ability to interpret the functional and clinical importance of the genetic variants they identify is limited. Here, Cummings et ...
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