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Translational Research in Veterinary Science

Data set for transcriptome analysis of pituitary galnd in cattle breeds
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Data set for transcriptome analysis of pituitary galnd in cattle breeds

Authors

  • Magdalena Herudzińska Institute of Veterinary Medicine, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University, Torun, Poland. https://orcid.org/0000-0002-2279-9234
  • Mateusz Sachajko Institute of Veterinary Medicine, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University, Torun, Poland. https://orcid.org/0000-0003-1901-6101
  • Jedrzej M. Jaskowski Institute of Veterinary Medicine, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University, Torun, Poland. https://orcid.org/0000-0002-4676-7990
  • Joanna Szczepanek Division of Functional Genomics in Biological and Biomedical research, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Torun, Poland. https://orcid.org/0000-0002-4287-5353
  • Magdalena Buszewska-Forajta Voluntary author, Institute of Veterinary Medicine, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University, Torun, Poland. https://orcid.org/0000-0003-1401-2558
  • Yaping Feng Waksman Institute of Microbiology, Rutgers, The State University of New Jersey, Piscataway, NJ 08 854, USA.
  • Dibyendu Kumar Waksman Institute of Microbiology, Rutgers, The State University of New Jersey, Piscataway, NJ 08 854, USA. https://orcid.org/0000-0002-0827-5952
  • Chandra Shekhar Pareek Institute of Veterinary Medicine, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University, Torun, Poland. Division of Functional genomics in biological and biomedical research, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Torun, Poland. https://orcid.org/0000-0002-0329-787X

DOI:

https://doi.org/10.12775/TRVS.2019.010

Keywords

RNA-seq, cattle, pituitary gland, breeds, NGS, SNPs, SAMtools, BWA, FastQC, SRA, NCBI

Abstract

Transcriptome data presented in this article is associated with the research article entitled “Single nucleotide polymorphism discovery in bovine pituitary gland using RNA-seq technology” published in PLOS One [1]. Herein, we provide raw and analysed RNA-seq data of pituitary gland tissues from three cattle breeds, viz., Polish-HF, Polish Red and Hereford cattle breeds. Bioinformatics pipelines of high-quality RNA-seq data includes the FastQC tools for quality controls, Trimmomatic cutadapt tools for trimming RNA-seq data, and BWA version 0.7.5-r404 for mapping and alignment to the Bos taurus reference genome, SAMtools for SNPs identifications in bovine pituitary gland transcriptome. Raw FASTq files for the RNA-seq libraries of bovine pituitary gland were deposited in the NCBI Sequence Read Archive (SRA) and have been assigned BioProject accession PRJNA312148.

References

Pareek CS, Smoczyński R, Kadarmideen HN, Dziuba P, Błaszczyk P, Sikora M, Walendzik P, Grzybowski T, Pierzchała M, Horbańczuk J, Szostak A, Ogluszka M, Zwierzchowski L, Czarnik U, Fraser L, Sobiech P, Wąsowicz K, Gelfand B, Feng Y, Kumar D. Single Nucleotide Polymorphism Discovery in Bovine Pituitary Gland Using RNA-Seq Technology. PLoS One. 2016;11:e0161370.

Zhao Y, Wang K, Wang WL, Yin TT, Dong WQ, Xu CJ. A high-throughput SNP discovery strategy for RNA-seq data. BMC Genomics. 2019;20:160.

Djari A, Esquerré D, Weiss B, Martins F, Meersseman C, Boussaha M, Klopp C, Rocha D. Gene-based single nucleotide polymorphism discovery in bovine muscle using next-generation transcriptomic sequencing. BMC Genomics. 2013;14:307.

Stothard P, Choi JW, Basu U, Sumner-Thomson JM, Meng Y, Liao X, Moore SS. Whole genome resequencing of black Angus and Holstein cattle for SNP and CNV discovery. BMC Genomics. 2011;12:559.

Cánovas A, Rincon G, Islas-Trejo A, Wickramasinghe S, Medrano JF. SNP discovery in the bovine milk transcriptome using RNA-Seq technology. Mamm Genome. 2010;21:592-8.

Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 2009;25:1754–60.

Anders S, Pyl PT, Huber W. HTSeq—a Python framework to work with high-throughput sequencing data. Bioinformatics, 2015;1:166-169.

Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, et al. 1000 Genome Project Data Processing Subgroup. The Sequence alignment/map (SAM) format and SAMtools. Bioinformatics. 2009;25:2078-2079.

Translational Research in Veterinary Science

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Published

2020-01-16

How to Cite

1.
HERUDZIŃSKA, Magdalena, SACHAJKO, Mateusz, JASKOWSKI, Jedrzej M., SZCZEPANEK, Joanna, BUSZEWSKA-FORAJTA, Magdalena, FENG, Yaping, KUMAR, Dibyendu and PAREEK, Chandra Shekhar. Data set for transcriptome analysis of pituitary galnd in cattle breeds. Translational Research in Veterinary Science. Online. 16 January 2020. Vol. 2, no. 2, pp. 57-61. [Accessed 14 September 2026]. DOI 10.12775/TRVS.2019.010.
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Vol. 2 No. 2 (2019)

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Research Articles

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