RNA-Seq Blog Transcriptome Research & Industry News
We hope that SCAN-B RNA sequencing will be in clinical use as early as next year, mainly to help in the identification of which breast tumours are...
Read More »New analytical model detects breast cancer mutations in RNA-Seq data
Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer
Stratification of breast cancer (BC) into molecular subtypes by multigene expression assays is of demonstrated clinical utility. In principle, global RNA-sequencing (RNA-seq) should enable reconstructing existing transcriptional classifications of BC samples. Yet, it is not clear whether adaptation to RNA-seq ...
Read More »Single-cell RNA sequencing reveals breast cancer ecosystem, possible new targets for treatment
Researchers from the Garvan Institute of Medical Research have uncovered four new subtypes of cells within triple negative breast cancer, which contain promising new therapeutic targets for the aggressive disease. Using cellular genomics, the team revealed...
Read More »Researchers use RNA sequencing as alternative to immunohistochemistry in cancer diagnostics
The conventionally used method for cancer diagnostics relies on immunohistochemical dyeing of tumor tissue sections. It allows to detect the presence and measure the concentration of marker proteins...
Read More »A novel prognostic two-gene signature for triple negative breast cancer
The absence of a robust risk stratification tool for triple negative breast cancer (TNBC) underlies imprecise and nonselective treatment of these...
Read More »Comparison of RNA-Seq data alignment and qene expression quantification tools for clinical breast cancer research
The rapid expansion of transcriptomics and affordability of next-generation sequencing (NGS) technologies generate rocketing amounts of gene expression data across biology and medicine, including...
Read More »Two RNA sequencing inflammatory scores as predictors of benefit From pembrolizumab in advanced breast cancer
Prospective assessments of 2 RNA sequencing inflammatory signature scores, an 18-gene T-cell–inflamed gene expression profile (GEP), as well as a 37-gene tissue-resident memory (TRM) T-cell...
Read More »scFBA – integration of single-cell RNA-seq data into population models to characterize cancer metabolism
Metabolic reprogramming is a general feature of cancer cells. Regrettably, the comprehensive quantification of metabolites in biological specimens does not promptly translate into knowledge on the utilization of metabolic pathways. By estimating fluxes across metabolic pathways, computational models hold the ...
Read More »miRNA-Seq uncovers a link between obesity and breast cancer
miRNA-Seq uncovers a link between obesity and breast cancer Obesity increases breast cancer (BC) risk in post-menopausal women by mostly unknown molecular mechanisms. In this study, miRNA profiling by RNA-seq was performed in paired benign and malignant biopsies from 12 ...
Read More »Improved DNA/RNA sequencing methods reveal complex rearrangement in breast cancer cell’s genome
In cancer cells, genetic errors wreak havoc. Misspelled genes, as well as structural variations—larger-scale rearrangements of DNA that can encompass large chunks of chromosomes—disturb carefully balanced mechanisms that have evolved to regulate cell growth. Genes that are normally silent are...
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