Project description:Background: With lower manufacturing cost, high spot density, and flexible probe design, genomic tiling microarrays are ideal for comprehensive transcriptome studies. Typically, transcriptome profiling using microarrays involves reverse transcription, which converts RNA to cDNA. The cDNA is then labeled and hybridized to the probes on the arrays, thus the RNA signals are detected indirectly. Reverse transcription is known to generate artifactual cDNA, in particular the synthesis of second-strand cDNA, leading to false discovery of antisense RNA. To address this issue, we have developed an effective method using RNA that is directly labeled, thus by-passing the cDNA generation. This paper describes the development of this method and its application to mapping transcriptome profiles. Results: RNA extracted from laboratory cultures of Porphyromonas gingivalis was fluorescently labeled with an alkylation reagent and hybridized directly to probes on genomic tiling microarrays specifically designed for this periodontal pathogen. The generated transcriptome profile was strand-specific and produced signals close to background level in most antisense regions of the genome. In contrast, high levels of signal were detected in the antisense regions when the hybridization was done with cDNA. In addition, five antisense areas were tested with independent strand-specific RT-PCR and none to negligible amplification was detected, indicating that the strong antisense cDNA signals were artifacts. Conclusions: An efficient method was developed for mapping transcriptome profiles specific to both coding strands of a bacterial genome. This method chemically labels and uses extracted RNA directly in microarray hybridization. The generated transcriptome profile was free of cDNA artifactual signals. In addition, this method requires fewer processing steps and is more sensitive in detecting small amount of RNA compared to end-labeling methods due to the incorporation of more fluorescent molecules per RNA fragment. This serial of experiments were performed to compare the transcriptome profiles revealed between the use of cDNA (converted from RNA) and RNA. Three samples of cDNA-based method were provided and two samples of RNA-based method were included. The signal intensities of these arrays were normalized based on both the in-between array method and the genomic DNA reference arrays (included) using the R 'tilingarray' package and these experiments were referred in the paper.

Project description:Background: With lower manufacturing cost, high spot density, and flexible probe design, genomic tiling microarrays are ideal for comprehensive transcriptome studies. Typically, transcriptome profiling using microarrays involves reverse transcription, which converts RNA to cDNA. The cDNA is then labeled and hybridized to the probes on the arrays, thus the RNA signals are detected indirectly. Reverse transcription is known to generate artifactual cDNA, in particular the synthesis of second-strand cDNA, leading to false discovery of antisense RNA. To address this issue, we have developed an effective method using RNA that is directly labeled, thus by-passing the cDNA generation. This paper describes the development of this method and its application to mapping transcriptome profiles. Results: RNA extracted from laboratory cultures of Porphyromonas gingivalis was fluorescently labeled with an alkylation reagent and hybridized directly to probes on genomic tiling microarrays specifically designed for this periodontal pathogen. The generated transcriptome profile was strand-specific and produced signals close to background level in most antisense regions of the genome. In contrast, high levels of signal were detected in the antisense regions when the hybridization was done with cDNA. In addition, five antisense areas were tested with independent strand-specific RT-PCR and none to negligible amplification was detected, indicating that the strong antisense cDNA signals were artifacts. Conclusions: An efficient method was developed for mapping transcriptome profiles specific to both coding strands of a bacterial genome. This method chemically labels and uses extracted RNA directly in microarray hybridization. The generated transcriptome profile was free of cDNA artifactual signals. In addition, this method requires fewer processing steps and is more sensitive in detecting small amount of RNA compared to end-labeling methods due to the incorporation of more fluorescent molecules per RNA fragment.

Project description:Natural Antisense Transcripts (NATs) can regulate gene expression by virtue of their ability to form double-stranded RNA duplexes. To investigate NATs in the maize transcriptome, cDNAs from seedling of two inbred lines (B73 and Mo17) were hybridized to an oligonucleotide microarray designed to validate the expression of in silico detected NATs and to screen for NATs that can anneal to a random set of 3â UTRs and selected repeats found in 3â UTRs regions. Quantitative Real-Time PCR experiments were conducted to determine the minimum detection threshold of microarray experiment and to thereby identify genes for which both sense and antisense transcripts accumulate to detectable levels. Two independent approaches, strand-specific RT-PCR and S1 nuclease assays were conducted to validate the results of the microarray experiment. Based on these conservative assays, NATs accumulate in seedlings that can anneal to over 70% of a random set of maize genes. In addition, both sense and antisense transcripts anneal to more than 80% of a set of maize repeats. Significantly, sense and antisense transcripts exhibit significant different expression patterns between the two genotypes. Based on these findings we hypothesize that interactions between sense and antisense transcripts may contribute to the differential patterns of gene expression in maize hybrids and to heterosis. Keywords: Global antisense transcripts profiling between two maize inbreds To systematically identify NATs in maize, we employed multiple strategies to computationally identify putative antisense transcripts from our partial genome assembly (MAGIs) and a collection of ESTs we sequenced with known sequence orientation. Additionally, we randomly sampled and surveyed maize UTRs which often harbor transposons. Strand-specific oligonucleotides which can hybridize to the antisense strand were designed and spotted with together with the oligonucleotides hybridizing sense strands on a custom, strand-specific oligoarray, providing the first global expression profiling study of NATs in maize UTRs. In total, 10 biological replication were conducted to compare the global gene expression profiles between two maize genotypes (B73 and Mo17).

Dataset Information

Strand-specific transcriptome profiles of the oral pathogen Porphyromonas gingivalis using genomic tiling microarray and RNA sequencing

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