Science has the technology to measure the activity of every gene within a single individual cell, and just one experiment can generate thousands of cells...
Read More »New analytical model detects breast cancer mutations in RNA-Seq data
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 »Mapping cell types by single cell sequencing in a Parkinson’s disease cell therapy model
Many severe symptoms in Parkinson’s disease are caused by the degeneration of the brain’s dopamine neurons. Transplantation of stem cell-derived dopamine neurons to patients with Parkinson’s disease is a therapeutic approach that is getting close to...
Read More »Clinical value of RNA-Seq equivalent to histopathology classification of breast cancer biomarkers
In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic...
Read More »Identifying microRNA targets using AGO-RIPseq
microRNAs (miRNA) are small, noncoding RNAs that bind to messenger RNAs (mRNAs) and regulate their activity. They are, therefore, important posttranscriptional regulators. In recent years it has become clear that miRNAs regulate large genetic networks, rather than single genes, and ...
Read More »RNA-Seq collaboration leads to new treatment for Parkinson’s disease
In two articles published in Cell Stem Cell, scientists from Karolinska Institutet and Lund University present results that warrant a modification of the protocol for making dopamine. The new protocol is now ready for clinical use. One of the challenges ...
Read More »Implementation of an Open Source Software solution for Laboratory Information Management and automated RNA-seq data analysis
Large-scale cancer genomics initiatives and next-generation sequencing for transcriptome profiling allow for detailed molecular characterization of tumors, and provide opportunities for clinical tools to improve diagnosis, prognosis, and treatment decisions. Laboratory information, data management, and data sharing in large-scale genomics ...
Read More »