RNA sequencing uncovers antisense RNAs and novel small RNAs inStreptococcus pyogenes
نویسندگان
چکیده
منابع مشابه
RNA sequencing uncovers antisense RNAs and novel small RNAs in Streptococcus pyogenes.
Streptococcus pyogenes is a human pathogen responsible for a wide spectrum of diseases ranging from mild to life-threatening infections. During the infectious process, the temporal and spatial expression of pathogenicity factors is tightly controlled by a complex network of protein and RNA regulators acting in response to various environmental signals. Here, we focus on the class of small RNA r...
متن کاملNovel Regulatory Small RNAs in Streptococcus pyogenes
Streptococcus pyogenes (Group A Streptococcus or GAS) is a Gram-positive bacterial pathogen that has shown complex modes of regulation of its virulence factors to cause diverse diseases. Bacterial small RNAs are regarded as novel widespread regulators of gene expression in response to environmental signals. Recent studies have revealed that several small RNAs (sRNAs) have an important role in S...
متن کاملSmall RNA profiling reveals antisense transcription throughout the KSHV genome and novel small RNAs.
Kaposi's sarcoma-associated herpesvirus (KSHV) is a human tumor virus that encodes 12 precursor microRNAs (pre-miRNAs) that give rise to 17 different known approximately 22-nucleotide (nt) effector miRNAs. Like all herpesviruses, KSHV has two modes of infection: (1) a latent mode whereby only a subset of viral genes are expressed and (2) a lytic mode during which the full remaining viral genes ...
متن کاملGlobal transcriptional start site mapping using differential RNA sequencing reveals novel antisense RNAs in Escherichia coli.
While the model organism Escherichia coli has been the subject of intense study for decades, the full complement of its RNAs is only now being examined. Here we describe a survey of the E. coli transcriptome carried out using a differential RNA sequencing (dRNA-seq) approach, which can distinguish between primary and processed transcripts, and an automated prediction algorithm for transcription...
متن کاملCoRAL: predicting non-coding RNAs from small RNA-sequencing data
The surprising observation that virtually the entire human genome is transcribed means we know little about the function of many emerging classes of RNAs, except their astounding diversities. Traditional RNA function prediction methods rely on sequence or alignment information, which are limited in their abilities to classify the various collections of non-coding RNAs (ncRNAs). To address this,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: RNA Biology
سال: 2015
ISSN: 1547-6286,1555-8584
DOI: 10.1080/15476286.2015.1110674