Biomedical subjects

Arneet L Saltzman

Publications and source records attributed to Arneet L Saltzman.

3 recordsLinked to original sources

PubMed2006

Quantitative microarray profiling provides evidence against widespread coupling of alternative splicing with nonsense-mediated mRNA decay to control gene expression.

Sequence-based analyses have predicted that approximately 35% of mammalian alternative splicing (AS) events produce premature termination codon (PTC)-containing splice variants that are targeted by the process of nonsense-mediated mRNA decay (NMD). This led to speculation that AS may often regulate gene expression by activating NMD. Using AS microarrays, we show that PTC-containing splice variants are generally produced at uniformly low levels across diverse mammalian cells and tissues, independently of the action of NMD. Our results suggest that most PTC-introducing AS events are not under positive selection pressure and therefore may not contribute important functional roles.

Alternative Splicing↗

PubMed2006

Microarray analysis of RNA processing and modification.

Most RNAs are processed from precursors by mechanisms that include covalent modifications, as well as the removal of flanking and intervening sequences. Traditional methods to detect RNA processing, such as Northern blotting, reverse-transcribed polymerase chain reaction and primer extension assays, are difficult to apply on a large scale. This chapter outlines several methods for analysis of the processing and modification of RNA using microarrays. These encompass protocols for the application of homemade microarrays and custom-designed commercial inkjet microarrays and are tailored for the large-scale analysis of processing of mRNA, including alternative splicing, as well as for the analysis of processing and modification of noncoding RNA. This chapter also describes practical aspects of microarray design, sample preparation, hybridization, and data analysis.

Animals↗

PubMed2004

Revealing global regulatory features of mammalian alternative splicing using a quantitative microarray platform.

We describe the application of a microarray platform, which combines information from exon body and splice-junction probes, to perform a quantitative analysis of tissue-specific alternative splicing (AS) for thousands of exons in mammalian cells. Through this system, we have analyzed global features of AS in major mouse tissues. The results provide numerous inferences for the functions of tissue-specific AS, insights into how the evolutionary history of exons can impact on their inclusion levels, and also information on how global regulatory properties of AS define tissue type. Like global transcription profiles, global AS profiles reflect tissue identity. Interestingly, we find that transcription and AS act independently on different sets of genes in order to define tissue-specific expression profiles. These results demonstrate the utility of our quantitative microarray platform and data for revealing important global regulatory features of AS.

Alternative Splicing↗