With advanced technologies to map RNA modifications, our understanding of them has been revolutionized, and they are seen to be far more widespread and important than previously thought. Current next-generation sequencing (NGS)-based modification profiling methods are blind to RNA modifications ...
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Predicting response to immune checkpoint blockade in NSCLC with tumour-only RNA-seq
Targeted RNA sequencing (RNA-seq) from FFPE specimens is used clinically in cancer for its ability to estimate gene expression and to detect fusions. Using a cohort of NSCLC patients, researchers at the Peter MacCallum Cancer Centre sought to determine whether ...
Read More »MATQ_Drop – Multiple-Annealing-and-Tailing-based Quantitative scRNA-seq in Droplets
Synapses are crucial structures that mediate signal transmission between neurons in complex neural circuits and display considerable morphological...
Read More »Featured RNA-Seq Job – Research Technician II – Single Cell RNA Sequencing
The Research Technician II processes patient samples for clinical trials, maintains inventories, and performs single-cell RNA sequencing...
Read More »Singleron launches single cell eQTL analysis as part of their sequencing service
A new bioinformatic pipeline to investigate single cell eQTL analysis is now offered in the sequencing service from Singleron Biotechnologies. Bioinformatic experts at Singleron Biotechnologies, a leader in single cell sequencing, have developed a new single cell eQTL analysis workflow ...
Read More »IMMUcan scDB – a fully integrated scRNA-seq database exclusively dedicated to human cancer
The development of single cell RNA-sequencing (scRNA-seq) technologies has greatly contributed to deciphering the tumor microenvironment (TME). An enormous amount of independent scRNA-seq studies have been published representing a valuable resource that provides opportunities for meta-analysis studies. However, the massive ...
Read More »Correspondence analysis for dimension reduction, batch integration, and visualization of single-cell RNA-seq data
Effective dimension reduction is essential for single cell RNA-seq (scRNAseq) analysis. Principal component analysis (PCA) is widely used, but requires continuous, normally-distributed data; therefore...
Read More »Mutant KRAS signaling drives alternative splicing in lung cancer cells
What eventually becomes a graduate student’s PhD thesis work is rarely the project they initially pursued. However, in rare cases like with recent...
Read More »Single cell RNA-sequencing identifies cause for loss of smell in long COVID patients
As the pandemic continues, millions of people in the U.S. are facing long COVID, a complex, poorly understood chronic illness with symptoms that...
Read More »ESPRESSO – robust discovery and quantification of transcript isoforms from error-prone long-read RNA-seq data
Long-read RNA sequencing (RNA-seq) holds great potential for characterizing transcriptome variation and full-length transcript isoforms, but the relatively high error rate of current long-read sequencing...
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