Data Descriptor: Transcriptomic analysis of gene signatures associated with sickle pain

Jinny A. Paul, Anupam Aich, Juan E. Abrahante, Ying Wang, Rebecca S. LaRue, Susan K. Rathe, Krystina Kalland, Aditya Mittal, Ritu Jha, Fei Peng, David A. Largaespada, Anindya Bagchi, Kalpna Gupta

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Pain is a hallmark feature of sickle cell disease (SCD). Recurrent and unpredictable acute pain due to vaso-oclussive crises (VOC) is unique to SCD; and can be superimposed on chronic pain. To examine the mechanisms underlying pain in SCD, we performed RNA sequencing of dorsal root ganglion (DRG) of transgenic sickle mice and their age-matched control mice expressing normal human hemoglobin A, at 2 and 5 months of age. Sickle and control mice of both ages were equally divided into hypoxia/reoxygenation (to simulate VOC) and normoxia treatment, resulting in eight groups of mice. Each group had at least six mice. RNA isolated from the DRG was sequenced and paired-end 50 bp sequencing data were generated using Illumina's HiSeq 2000. This large dataset can serve as a resource for examining transcriptional changes in the DRG that are associated with age and hypoxia/reoxygenation associated signatures of nociceptive mechanisms underlying chronic and acute pain, respectively.

Original languageEnglish (US)
Article number170051
JournalScientific Data
Volume4
DOIs
StatePublished - May 16 2017

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© The Author(s) 2017.

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