Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
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TY - JOUR
T1 - Genome-wide annotation of protein-coding genes in pig
AU - Karlsson, Max
AU - Sjöstedt, Evelina
AU - Oksvold, Per
AU - Sivertsson, Åsa
AU - Huang, Jinrong
AU - Álvez, María Bueno
AU - Arif, Muhammad
AU - Li, Xiangyu
AU - Lin, Lin
AU - Yu, Jiaying
AU - Ma, Tao
AU - Xu, Fengping
AU - Han, Peng
AU - Jiang, Hui
AU - Mardinoglu, Adil
AU - Zhang, Cheng
AU - von Feilitzen, Kalle
AU - Xu, Xun
AU - Wang, Jian
AU - Yang, Huanming
AU - Bolund, Lars
AU - Zhong, Wen
AU - Fagerberg, Linn
AU - Lindskog, Cecilia
AU - Pontén, Fredrik
AU - Mulder, Jan
AU - Luo, Yonglun
AU - Uhlen, Mathias
N1 - © 2022. The Author(s).
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
KW - Annotation
KW - Gene expression
KW - Genome-wide
KW - Protein-coding genes
KW - Tissue expression profile
KW - Transcriptome
U2 - 10.1186/s12915-022-01229-y
DO - 10.1186/s12915-022-01229-y
M3 - Journal article
C2 - 35073880
VL - 20
JO - B M C Biology
JF - B M C Biology
SN - 1741-7007
M1 - 25
ER -