Background: Gene expression regulators identified in transcriptome profiling experiment may be selected as targets for genetic manipulations in farm animals. Results: In this study, we developed a gene expression profile of 76,000+ unique transcripts for 224 porcine samples from 28 normal tissues collected from 32 animals using Super deepSAGE technology. Excellent sequencing depth has been achieved for each multiplexed library, and replicated samples from the same tissues cluster together, demonstrating the high quality of the Super deepSAGE data. Comparison with previous research indicated that our results not only have excellent reproducibility but also have greatly extended the coverage of the sample types as well as the number of genes. Clustering analysis discovered ten groups of genes showing distinct expression patterns among those samples. Binding motif over representative analysis identified 41 regulators and finally, we demonstrate a potential application of this dataset to infectious and immune research by identifying an LPS-dependent transcription factor, runt-related transcription factor 1 (RUNX1), in peripheral blood mononuclear cells (PBMCs). The selected genes are specifically responsible for the transcription of toll-like receptor 2 (TLR2), lymphocyte-specific protein tyrosine kinase (LCK), and vav1 oncogene (VAV1), which belong to the T and B cell signaling pathways. Conclusions: the Super deepSAGE technology and tissue specific expression profiles are valuable resources for investigating the porcine gene expression regulations. The identified RUNX1 target genes belong to the T and B cell signaling pathways, making it a potential novel targets for the diagnostic and therapy of bacterial infections and other immune disorders.

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This is a list of supplementary files associated with this preprint. Click to download.
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Posted 07 Sep, 2019
Posted 07 Sep, 2019
Background: Gene expression regulators identified in transcriptome profiling experiment may be selected as targets for genetic manipulations in farm animals. Results: In this study, we developed a gene expression profile of 76,000+ unique transcripts for 224 porcine samples from 28 normal tissues collected from 32 animals using Super deepSAGE technology. Excellent sequencing depth has been achieved for each multiplexed library, and replicated samples from the same tissues cluster together, demonstrating the high quality of the Super deepSAGE data. Comparison with previous research indicated that our results not only have excellent reproducibility but also have greatly extended the coverage of the sample types as well as the number of genes. Clustering analysis discovered ten groups of genes showing distinct expression patterns among those samples. Binding motif over representative analysis identified 41 regulators and finally, we demonstrate a potential application of this dataset to infectious and immune research by identifying an LPS-dependent transcription factor, runt-related transcription factor 1 (RUNX1), in peripheral blood mononuclear cells (PBMCs). The selected genes are specifically responsible for the transcription of toll-like receptor 2 (TLR2), lymphocyte-specific protein tyrosine kinase (LCK), and vav1 oncogene (VAV1), which belong to the T and B cell signaling pathways. Conclusions: the Super deepSAGE technology and tissue specific expression profiles are valuable resources for investigating the porcine gene expression regulations. The identified RUNX1 target genes belong to the T and B cell signaling pathways, making it a potential novel targets for the diagnostic and therapy of bacterial infections and other immune disorders.

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Figure 7

Figure 8
This is a list of supplementary files associated with this preprint. Click to download.
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