Tag Archives: rRNA

RNA sequencing (RNA-seq) is a powerful and increasingly prevalent method to characterize and quantify the transcriptome. Ribosomes are...

Ribosome Profiling (Ribo-seq) has revolutionized the study of RNA translation by providing information on ribosome positions across all translated RNAs with...

Peripheral blood is a highly accessible biofluid providing a rich source of information about human physiology and health status. However, for studies of the blood transcriptome with RNA sequencing (RNA-Seq) techniques, high levels of hemoglobin mRNAs...

RNA extracted from bacterial species comprises up to 98 % of ribosomal RNAs (rRNA), preventing the in-depth analysis of RNAs of interest, particularly in the context of Next Generation Sequencing (RNA-Seq). Moreover, depletion of rRNA derived from multi-species bacterial communities ...

Are you spending hours trying to optimize your RNA-seq workflow but still struggling to achieve consistent, high-quality, on-target reads? High levels of ribosomal RNA (rRNA) could be jeopardizing your RNA-seq workflow, compromising your ability to detect low-abundance mRNA transcripts…

RNA-seq-based SSU (small subunit) rRNA (ribosomal RNA) analysis has provided a better understanding of potentially active microbial community within environments. However, for RNA-seq library construction, high quantities of purified RNA are typically required. Fudan University researchers propose a modified RNA-seq ...

Global transcriptomic analysis via RNA-seq is often hampered by the high abundance of ribosomal (r)RNA in bacterial cells. To remove rRNA and enrich coding sequences, subtractive hybridization procedures have become the approach of choice prior to RNA-seq, with their efficiency ...

Small non-coding RNAs (sncRNAs) are highly abundant RNAs, typically <100 nucleotides long, that act as key regulators of diverse cellular processes. Although thousands of sncRNA genes are known to exist in the human genome, no single database provides searchable, unified ...

Small RNA RNA-seq for microRNAs (miRNAs) is a rapidly developing field where opportunities still exist to create better bioinformatics tools to process these large datasets and generate new, useful analyses. Researchers at Johns Hopkins University School of Medicine have built ...

Plant can respond to environmental changes with various mechanisms occurred at transcriptional and translational levels. Thus far, there have been relatively extensive understandings of stress responses of plants on transcriptional level, while little is known about that on translational level. ...