Genome-wide annotation of protein-coding genes in pig

  • Max Karlsson
  • , Evelina Sjöstedt
  • , Per Oksvold
  • , Åsa Sivertsson
  • , Jinrong Huang
  • , María Bueno Álvez
  • , Muhammad Arif
  • , Xiangyu Li
  • , Lin Lin
  • , Jiaying Yu
  • , Tao Ma
  • , Fengping Xu
  • , Peng Han
  • , Hui Jiang
  • , Adil Mardinoglu
  • , Cheng Zhang
  • , Kalle von Feilitzen
  • , Xun Xu
  • , Jian Wang
  • , Huanming Yang
  • Lars Bolund, Wen Zhong, Linn Fagerberg, Cecilia Lindskog, Fredrik Pontén, Jan Mulder, Yonglun Luo, Mathias Uhlen

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Background: There is a need for functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. Here, a new annotation strategy is introduced based on dimensionality reduction and density-based clustering of whole-body co-expression patterns. This strategy has been used to explore the gene expression landscape in pig, and we present a whole-body map of all protein-coding genes in all major pig tissues and organs. Results: An open-access pig expression map (www.rnaatlas.org) is presented based on the expression of 350 samples across 98 well-defined pig tissues divided into 44 tissue groups. A new UMAP-based classification scheme is introduced, in which all protein-coding genes are stratified into tissue expression clusters based on body-wide expression profiles. The distribution and tissue specificity of all 22,342 protein-coding pig genes are presented. Conclusions: Here, we present a new genome-wide annotation strategy based on dimensionality reduction and density-based clustering. A genome-wide resource of the transcriptome map across all major tissues and organs in pig is presented, and the data is available as an open-access resource (www.rnaatlas.org), including a comparison to the expression of human orthologs.

Original languageEnglish
Article number25
JournalBMC Biology
Volume20
Issue number1
DOIs
StatePublished - Dec 2022
Externally publishedYes

Keywords

  • Annotation
  • Gene expression
  • Genome-wide
  • Protein-coding genes
  • Tissue expression profile
  • Transcriptome

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