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Comparative transcriptome profiling of the human and mouse dorsal root ganglia: An RNA-seq-based resource for pain and sensory neuroscience research

Pradipta Ray, Andrew Torck, Lilyana Quigley, Andi Wangzhou, Matthew Neiman, Chandranshu Rao, Tiffany Lam, Ji-Young Kim, Tae Hoon Kim, Michael Q. Zhang, Gregory Dussor, Theodore J. Price
doi: https://doi.org/10.1101/165431
Pradipta Ray
1The University of Texas at Dallas, School of Behavioral and Brain Sciences
2The University of Texas at Dallas, Department of Biological Sciences
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  • For correspondence: theodore.price@utdallas.edu pradiptaray@utdallas.edu
Andrew Torck
1The University of Texas at Dallas, School of Behavioral and Brain Sciences
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Lilyana Quigley
1The University of Texas at Dallas, School of Behavioral and Brain Sciences
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Andi Wangzhou
1The University of Texas at Dallas, School of Behavioral and Brain Sciences
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Matthew Neiman
1The University of Texas at Dallas, School of Behavioral and Brain Sciences
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Chandranshu Rao
1The University of Texas at Dallas, School of Behavioral and Brain Sciences
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Tiffany Lam
1The University of Texas at Dallas, School of Behavioral and Brain Sciences
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Ji-Young Kim
1The University of Texas at Dallas, School of Behavioral and Brain Sciences
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Tae Hoon Kim
2The University of Texas at Dallas, Department of Biological Sciences
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Michael Q. Zhang
2The University of Texas at Dallas, Department of Biological Sciences
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Gregory Dussor
1The University of Texas at Dallas, School of Behavioral and Brain Sciences
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Theodore J. Price
1The University of Texas at Dallas, School of Behavioral and Brain Sciences
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  • For correspondence: theodore.price@utdallas.edu pradiptaray@utdallas.edu
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Abstract

Molecular neurobiological insight into human nervous tissues is needed to generate next generation therapeutics for neurological disorders like chronic pain. We obtained human Dorsal Root Ganglia (DRG) samples from organ donors and performed RNA-sequencing (RNA-seq) to study the human DRG (hDRG) transcriptional landscape, systematically comparing it with publicly available data from a variety of human and orthologous mouse tissues, including mouse DRG (mDRG). We characterized the hDRG transcriptional profile in terms of tissue-restricted gene co-expression patterns and putative transcriptional regulators, and formulated an information-theoretic framework to quantify DRG enrichment. Our analyses reveal an hDRG-enriched protein-coding gene set (~140), some of which have not been described in the context of DRG or pain signaling. A majority of these show conserved enrichment in mDRG, and were mined for known drug - gene product interactions. Comparison of hDRG and tibial nerve transcriptomes suggest pervasive mRNA transport of sensory neuronal genes to axons in adult hDRG, with potential implications for mechanistic insight into chronic pain in patients. Relevant gene families and pathways were also analyzed, including transcription factors (TFs), g-protein coupled receptors (GCPRs) and ion channels. We present our work as an online, searchable repository (http://www.utdallas.edu/bbs/painneurosciencelab/DRGtranscriptome), creating a valuable resource for the community. Our analyses provide insight into DRG biology for guiding development of novel therapeutics, and a blueprint for cross-species transcriptomic analyses.

Summary We generated RNA sequencing data from human DRG samples and comprehensively compared this transcriptome to other human tissues and a matching panel of mouse tissues. Our analysis uncovered functionally enriched genes in the human and mouse DRG with important implications for understanding sensory biology and pain drug discovery.

Footnotes

  • Conflict of interest: The authors declare no conflicts of interest

  • Patient anonymity and informed consent: Informed consent for human tissue sources were obtained by Anabios, Inc. (San Diego, CA).

  • Human studies: This work was approved by The University of Texas at Dallas Institutional Review Board (MR 15-237).

  • Originality of work: The authors declare that this work is original and unpublished. A preprint is uploaded on BioRxiv.

  • Permissions: The KEGG pathway diagram is presented in this paper with explicit permission from Kanehisa Laboratories (submitted with submission packet).

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted October 13, 2017.
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Comparative transcriptome profiling of the human and mouse dorsal root ganglia: An RNA-seq-based resource for pain and sensory neuroscience research
Pradipta Ray, Andrew Torck, Lilyana Quigley, Andi Wangzhou, Matthew Neiman, Chandranshu Rao, Tiffany Lam, Ji-Young Kim, Tae Hoon Kim, Michael Q. Zhang, Gregory Dussor, Theodore J. Price
bioRxiv 165431; doi: https://doi.org/10.1101/165431
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Comparative transcriptome profiling of the human and mouse dorsal root ganglia: An RNA-seq-based resource for pain and sensory neuroscience research
Pradipta Ray, Andrew Torck, Lilyana Quigley, Andi Wangzhou, Matthew Neiman, Chandranshu Rao, Tiffany Lam, Ji-Young Kim, Tae Hoon Kim, Michael Q. Zhang, Gregory Dussor, Theodore J. Price
bioRxiv 165431; doi: https://doi.org/10.1101/165431

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