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Genes regulating biochemical pathways of oxygen metabolism in porcine oviductal epithelial cells during long-term IVC

Ievgeniia Kocherova

Ievgeniia Kocherova

Department of Anatomy, Poznan University of Medical SciencesPoznan, Poland
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Kocherova, Ievgeniia
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Maciej Brązert

Maciej Brązert

Division of Infertility and Reproductive Endocrinology, Department of Gynecology, Obstetrics and Gynecological Oncology, Poznan University of Medical SciencesPoznan, Poland
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Brązert, Maciej
, 
Patrycja Sujka-Kordowska

Patrycja Sujka-Kordowska

Department of Histology and Embryology, Poznan University of Medical SciencesPoznan, Poland
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Sujka-Kordowska, Patrycja
, 
Aneta Konwerska

Aneta Konwerska

Department of Histology and Embryology, Poznan University of Medical SciencesPoznan, Poland
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Konwerska, Aneta
, 
Magdalena Kulus

Magdalena Kulus

Veterinary Center, Nicolaus Copernicus University in ToruńTorun, Poland
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Kulus, Magdalena
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Błażej Chermuła

Błażej Chermuła

Division of Infertility and Reproductive Endocrinology, Department of Gynecology, Obstetrics and Gynecological Oncology, Poznan University of Medical SciencesPoznan, Poland
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Chermuła, Błażej
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Piotr Celichowski

Piotr Celichowski

Department of Histology and Embryology, Poznan University of Medical SciencesPoznan, Poland
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Celichowski, Piotr
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Hanna Piotrowska-Kempisty

Hanna Piotrowska-Kempisty

Department of Toxicology, Poznan University of Medical SciencesPoznań, Poland
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Piotrowska-Kempisty, Hanna
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Paweł Antosik

Paweł Antosik

Veterinary Center, Nicolaus Copernicus University in ToruńTorun, Poland
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Antosik, Paweł
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Dorota Bukowska

Dorota Bukowska

Veterinary Center, Nicolaus Copernicus University in ToruńTorun, Poland
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Bukowska, Dorota
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Małgorzata Bruska

Małgorzata Bruska

Department of Anatomy, Poznan University of Medical SciencesPoznan, Poland
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Bruska, Małgorzata
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Leszek Pawelczyk

Leszek Pawelczyk

Division of Infertility and Reproductive Endocrinology, Department of Gynecology, Obstetrics and Gynecological Oncology, Poznan University of Medical SciencesPoznan, Poland
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Pawelczyk, Leszek
, 
Maciej Zabel

Maciej Zabel

  • Department of Histology and Embryology, Poznan University of Medical SciencesPoznan, Poland
  • Department of Histology and Embryology, Wroclaw Medical UniversityWroclaw, Poland
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Zabel, Maciej
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Michał Nowicki

Michał Nowicki

Department of Histology and Embryology, Poznan University of Medical SciencesPoznan, Poland
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Nowicki, Michał
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Bartosz Kempisty

Bartosz Kempisty

  • Department of Anatomy, Poznan University of Medical SciencesPoznan, Poland
  • Department of Histology and Embryology, Poznan University of Medical SciencesPoznan, Poland
  • Department of Obstetrics and Gynecology, University Hospital and MasarykUniversityBrno, Czech Republic
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Kempisty, Bartosz
 e 
Michal Jeseta

Michal Jeseta

Department of Obstetrics and Gynecology, University Hospital and MasarykUniversityBrno, Czech Republic
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Jeseta, Michal
  
12 ott 2019
Genes regulating biochemical pathways of oxygen metabolism in porcine oviductal epithelial cells during long-term IVC's Cover Image
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Pubblicato online: 12 ott 2019
Pagine: 39 - 47
Ricevuto: 21 lug 2019
Accettato: 18 ago 2019
DOI: https://doi.org/10.2478/acb-2019-0006
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© 2019 Ievgeniia Kocherova, Maciej Brązert, Patrycja Sujka-Kordowska, Aneta Konwerska, Magdalena Kulus, Błażej Chermuła, Piotr Celichowski, Hanna Piotrowska-Kempisty, Paweł Antosik, Dorota Bukowska, Małgorzata Bruska, Leszek Pawelczyk, Maciej Zabel, Michał Nowicki, Bartosz Kempisty, Michal Jeseta, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Heat map representation of differentially expressed genes belonging to the “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. Arbitrary signal intensity acquired from microarray analysis is represented by colours (green, higher; red, lower expression). Log2 signal intensity values for any single gene were resized to Row Z-Score scale (from -2, the lowest expression to +2, the highest expression for single gene). The 20 genes selected to this publication was marked green for upregulation and red for downregulation
Heat map representation of differentially expressed genes belonging to the “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. Arbitrary signal intensity acquired from microarray analysis is represented by colours (green, higher; red, lower expression). Log2 signal intensity values for any single gene were resized to Row Z-Score scale (from -2, the lowest expression to +2, the highest expression for single gene). The 20 genes selected to this publication was marked green for upregulation and red for downregulation

Figure 2

The circle plot showing the differently expressed genes and z-score of the “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. The outer circle shows a scatter plot for each term of the fold change of the assigned genes. Green circles display up-regulation and red ones down- regulation. The inner circle shows the z-score of each GO BP term. The width of the each bar corresponds to the number of genes within GO BP term and the color corresponds to the z-score
The circle plot showing the differently expressed genes and z-score of the “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. The outer circle shows a scatter plot for each term of the fold change of the assigned genes. Green circles display up-regulation and red ones down- regulation. The inner circle shows the z-score of each GO BP term. The width of the each bar corresponds to the number of genes within GO BP term and the color corresponds to the z-score

Figure 3

The representation of the mutual relationship of differently expressed genes that belongs to 20 chosen genes from “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. The ribbons indicate which gene belongs to which categories. The middle circle represents logarithm from fold change (LogFC) between D7/D1, D15/D1 and D30/D1 respectively. The color of each block corresponds to the LogFC of each gene (green – upregulated, red – downregulated). The genes were sorted by logFC from most to least changed gene
The representation of the mutual relationship of differently expressed genes that belongs to 20 chosen genes from “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. The ribbons indicate which gene belongs to which categories. The middle circle represents logarithm from fold change (LogFC) between D7/D1, D15/D1 and D30/D1 respectively. The color of each block corresponds to the LogFC of each gene (green – upregulated, red – downregulated). The genes were sorted by logFC from most to least changed gene

Figure 4

Heatmap showing the gene occurrence between chosen 20 differently expressed genes that belongs to “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. The yellow color is associated with gene occurrence in the GO Term. The intensity of the color is corresponding to amount of GO BP terms that each gene belongs to
Heatmap showing the gene occurrence between chosen 20 differently expressed genes that belongs to “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. The yellow color is associated with gene occurrence in the GO Term. The intensity of the color is corresponding to amount of GO BP terms that each gene belongs to

Figure 5

STRING-generated interaction occurrence between 20 chosen differently expressed genes that belongs to the “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. The intensity of the edges reflects the strength of interaction score
STRING-generated interaction occurrence between 20 chosen differently expressed genes that belongs to the “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. The intensity of the edges reflects the strength of interaction score

Figure 6

Functional interaction (FI) between 20 chosen differently expressed genes that belongs to the “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. In following figure “->” stands for activating/catalyzing, “-|” for inhibition, “-” for FIs extracted from complexes or inputs, and “---” for predicted FIs
Functional interaction (FI) between 20 chosen differently expressed genes that belongs to the “cellular response to oxidative stress” and “cellular response to oxygen-containing compound” GO BP terms. In following figure “->” stands for activating/catalyzing, “-|” for inhibition, “-” for FIs extracted from complexes or inputs, and “---” for predicted FIs

Gene symbols, fold change in expression ratio, Entrez gene IDs, corrected P values and mean value of fold change ratio of studied genes

GENE SYMBOLRATIO D7/D1RATIO D15/D1RATIO D30/D1ADJUSTED P VALUE D7/D1ADJUSTED P VALUE D15/D1ADJUSTED P VALUE D30/D1ENTREZ GENE IDMEAN RATIO
CCNA24,8752665,3444551,9721330,0006500,0003660,0252151E+084,063951
PRDX32,1010212,1834251,8114950,0020890,0012950,0040911E+082,031980
MDM22,4368432,2327342,5619580,0001830,0002046,09E-051E+082,410512
FAS4,2082133,5066625,5369410,0001310,0001672,24E-053968264,417272
TPM13,1096783,8248993,6533850,0005820,0001830,0001551E+083,529321
CST33,6324185,3355896,5565420,0033050,0007250,0002867336725,174850
CDK14,8099453,890205-2,4356340,0000740,0001000,0006201E+082,088172
ARG14,3473051,136755-1,3355090,0008690,6986830,3108321,01E+081,382850
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Scienze biologiche, Biologia molecolare, Buiochimica
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