RNA-Seq Blog Transcriptome Research & Industry News
Parkinson’s disease is the second most common neurodegenerative disease in the world, yet little is known about its causes and progression...
Read More »Researchers use RNA Sequencing to track down molecular signals of Parkinson’s disease
Insufficiently complex unique-molecular identifiers (UMIs) distort small RNA sequencing
The attachment of unique molecular identifiers (UMIs) to RNA molecules prior to PCR amplification and sequencing, makes it possible to amplify...
Read More »Small RNA sequencing paints a detailed picture of the microRNA interface between the immune and neuronal systems
Recent studies have found a high genetic similarity of the psychiatric diseases schizophrenia and bipolar disorder, whose disease-specific changes in brain cells show an overlap of more than 70 percent. These changes affect gene expression, i.e., transcription of genes for ...
Read More »scRNA-Seq brings new miRNA insights
MicroRNAs, the tiny bits of genetic material that regulate gene expression, play a significant – but poorly understood – role in controlling the differences between individual cells....
Read More »Mime-seq – single-cell sequencing of microRNAs
Scientists from two institutes at the Vienna BioCenter (VBC) have developed a method to identify and characterise microRNAs in individual cells of living animals. The technique, called “mime-seq”, enables to study microRNAs in their endogenous context at single-cell resolution, and ...
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 »FGMD – A novel approach for functional gene module detection in cancer
With the increasing availability of multi-dimensional biological datasets for the same samples (i.e., gene expression, microRNAs, copy numbers, mutations, methylations), it has now become possible to systematically understand the regulatory mechanisms operating in a cancer cell. For this task, it ...
Read More »Mirnovo – genome-free prediction of microRNAs from small RNA sequencing data and single-cells using decision forests
The discovery of microRNAs (miRNAs) remains an important problem, particularly given the growth of high-throughput sequencing, cell sorting and single cell biology. While a large number of miRNAs have already been annotated, there may well be large numbers of miRNAs ...
Read More »Preparation of highly multiplexed small RNA sequencing libraries
MicroRNAs (miRNAs) are ~22-nucleotide-long small non-coding RNAs that regulate the expression of protein-coding genes by base pairing to partially complementary target sites, preferentially located in the 3´ untranslated region (UTR) of target mRNAs. The expression and function of miRNAs have ...
Read More »miRCat2 – Accurate prediction of plant and animal microRNAs from next-generation sequencing datasets
MicroRNAs are a class of _21-22 nucleotide small RNAs which are excised from a stable hairpin-like secondary structure. They have important gene regulatory functions and are involved in many pathways including developmental timing, organogenesis and development in eukaryotes. There are ...
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