Using Klenow-mediated extension to measure poly(A)-tail length and position in the transcriptome

PAT-Seq: A Method for Simultaneous Quantitation of Gene Expression, Poly(A)-Site Selection and Poly(A)-Length Distribution in Yeast Transcriptomes

Next-generation sequencing (NGS) and its application to RNA (RNA-seq) has opened up multiple aspects of RNA processing to deep transcriptome-wide analysis at nucleotide resolution. This has been useful in delineating the transcribed areas of the genome, and in quantitation of RNA isoforms. Such isoforms can diversify the regulatory repertoire of mRNAs. For example, the 3'-end of mRNA can vary in two important ways, in the position chosen for cleavage and polyadenylation, and in the length of the poly(A)-tail. Accordingly, the step-up in resolution made possible by NGS has revealed an unexpectedly high level of alternative polyadenylation (APA). Moreover, it has massively simplified the transcriptome-wide detection of poly(A)-tail length changes. Here we present our approach to the study of 3'-end dynamics using a 3'-focused RNA-seq method called PAT-seq (for poly(A)-test sequencing). The approach records gene expression, APA, and poly(A)-tail changes between transcriptomes to reveal complex interplay between transcriptional and posttranscriptional control mechanisms.

PAT-seq: a method to study the integration of 3'-UTR dynamics with gene expression in the eukaryotic transcriptome

A major objective of systems biology is to quantitatively integrate multiple parameters from genome-wide measurements. To integrate gene expression with dynamics in poly(A) tail length and adenylation site, we developed a targeted next-generation sequencing approach, Poly(A)-Test RNA-sequencing. PAT-seq returns (i) digital gene expression, (ii) polyadenylation site/s, and (iii) the polyadenylation-state within and between eukaryotic transcriptomes. PAT-seq differs from previous 3' focused RNA-seq methods in that it depends strictly on 3' adenylation within total RNA samples and that the full-native poly(A) tail is included in the sequencing libraries. Here, total RNA samples from budding yeast cells were analyzed to identify the intersect between adenylation state and gene expression in response to loss of the major cytoplasmic deadenylase Ccr4. Furthermore, concordant changes to gene expression and adenylation-state were demonstrated in the classic Crabtree-Warburg metabolic shift. Because all polyadenylated RNA is interrogated by the approach, alternative adenylation sites, noncoding RNA and RNA-decay intermediates were also identified. Most important, the PAT-seq approach uses standard sequencing procedures, supports significant multiplexing, and thus replication and rigorous statistical analyses can for the first time be brought to the measure of 3'-UTR dynamics genome wide.