The conserved histone deacetylase Rpd3 and its DNA binding subunit Ume6 control dynamic transcript architecture during mitotic growth and meiotic development.

It was recently reported that the sizes of many mRNAs change when budding yeast cells exit mitosis and enter the meiotic differentiation pathway. These differences were attributed to length variations of their untranslated regions. The function of UTRs in protein translation is well established.

Genome-wide profiling of human cap-independent translation-enhancing elements.

We report an in vitro selection strategy to identify RNA sequences that mediate cap-independent initiation of translation. This method entails mRNA display of trillions of genomic fragments, selection for initiation of translation and high-throughput deep sequencing. We identified >12,000 translation-enhancing elements (TEEs) in the human genome, generated a high-resolution map of human TEE-bearing regions (TBRs), and validated the function of a subset of sequences in vitro and in cultured cells.

Extensive transcript diversity and novel upstream open reading frame regulation in yeast.

To understand the diversity of transcripts in yeast (Saccharomyces cerevisiae) we analyzed the transcriptional landscapes for cells grown under 18 different environmental conditions. Each sample was analyzed using RNA-sequencing, and a total of 670,446,084 uniquely mapped reads and 377,263 poly-adenylated end tags were produced. Consistent with previous studies, we find that the majority of yeast genes are expressed under one or more different conditions.

RNA sequencing.

This chapter describes the RNA sequencing (RNA-Seq) protocol, whereby RNA from yeast cells is prepared for sequencing on an Illumina Genome Analyzer. The protocol can easily be altered to use RNA from a different organism. This chapter covers RNA extraction, cDNA synthesis, cDNA fragmentation, and Illumina cDNA library generation and contains some brief remarks on bioinformatic analysis.

RNA-Seq: a method for comprehensive transcriptome analysis.

A recently developed technique called RNA Sequencing (RNA-Seq) uses massively parallel sequencing to allow transcriptome analyses of genomes at a far higher resolution than is available with Sanger sequencing- and microarray-based methods. In the RNA-Seq method, complementary DNAs (cDNAs) generated from the RNA of interest are directly sequenced using next-generation sequencing technologies. The reads obtained from this can then be aligned to a reference genome in order to construct a whole-genome transcriptome map.

The transcriptional landscape of the yeast genome defined by RNA sequencing.

The identification of untranslated regions, introns, and coding regions within an organism remains challenging. We developed a quantitative sequencing-based method called RNA-Seq for mapping transcribed regions, in which complementary DNA fragments are subjected to high-throughput sequencing and mapped to the genome. We applied RNA-Seq to generate a high-resolution transcriptome map of the yeast genome and demonstrated that most (74.