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Sci Data. 2019 Aug 14;6(1):147. doi: 10.1038/s41597-019-0149-8.

Whole-exome and whole-transcriptome sequencing of canine mammary gland tumors.

Scientific data

Ka-Kyung Kim, Byung-Joon Seung, Dohyun Kim, Hee-Myung Park, Sejoon Lee, Doo-Won Song, Gunho Lee, Jae-Ho Cheong, Hojung Nam, Jung-Hyang Sur, Sangwoo Kim

Affiliations

  1. Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
  2. Department of Veterinary Pathology, Small Animal Tumor Diagnostic Center, College of Veterinary Medicine, Konkuk University, Seoul, 05029, Republic of Korea.
  3. School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea.
  4. Department of Veterinary Internal Medicine, College of Veterinary Medicine, Konkuk University, Seoul, 05029, Republic of Korea.
  5. Precision Medicine Center, Seoul National University Bundang Hospital, Seongnam, 13620, Republic of Korea.
  6. Graduate Program for Nanomedical Science, Yonsei University, Seoul, 03722, Republic of Korea.
  7. Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
  8. School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea. [email protected].
  9. Department of Veterinary Pathology, Small Animal Tumor Diagnostic Center, College of Veterinary Medicine, Konkuk University, Seoul, 05029, Republic of Korea. [email protected].
  10. Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea. [email protected].

PMID: 31413331 PMCID: PMC6694171 DOI: 10.1038/s41597-019-0149-8

Abstract

Studies of naturally occurring cancers in dogs, which share many genetic and environmental factors with humans, provide valuable information as a comparative model for studying the mechanisms of human cancer pathogenesis. While individual and small-scale studies of canine cancers are underway, more generalized multi-omics studies have not been attempted due to the lack of large-scale and well-controlled genomic data. Here, we produced reliable whole-exome and whole-transcriptome sequencing data of 197 canine mammary cancers and their matched controls, annotated with rich clinical and biological features. Our dataset provides useful reference points for comparative analysis with human cancers and for developing novel diagnostic and therapeutic technologies for cancers in pet dogs.

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