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In search of markers useful for evaluation of graft patency - molecular analysis of ‘muscle system process’ for internal thoracic artery and saphenous vein conduits

Sandra Kałużna

Sandra Kałużna

Department of Histology and Embryology, Poznań University of Medical SciencesPoznań, Poland
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Kałużna, Sandra
, 
Mariusz J. Nawrocki

Mariusz J. Nawrocki

Department of Anatomy, Poznań University of Medical SciencesPoznań, Poland
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Nawrocki, Mariusz J.
, 
Karol Jopek

Karol Jopek

Department of Histology and Embryology, Poznań University of Medical SciencesPoznań, Poland
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Jopek, Karol
, 
Greg Hutchings

Greg Hutchings

  • Department of Anatomy, Poznań University of Medical SciencesPoznań, Poland
  • The School of Medicine, Medical Sciences and Nutrition, University of AberdeenAberdeen, UK
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Hutchings, Greg
, 
Bartłomiej Perek

Bartłomiej Perek

Department of Cardiac Surgery and Transplantology, Poznan University of Medical SciencesPoznań, Poland
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Perek, Bartłomiej
, 
Marek Jemielity

Marek Jemielity

Department of Cardiac Surgery and Transplantology, Poznan University of Medical SciencesPoznań, Poland
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Jemielity, Marek
, 
Bartosz Kempisty

Bartosz Kempisty

  • Department of Histology and Embryology, Poznań University of Medical SciencesPoznań, Poland
  • Department of Anatomy, Poznań University of Medical SciencesPoznań, Poland
  • Department of Obstetrics and Gynecology, University Hospital and Masaryk UniversityBrno, Czech Republic
  • Department of Veterinary Surgery, Institute of Veterinary Medicine, Nicolaus Copernicus University in ToruńToruń, Poland
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Kempisty, Bartosz
, 
Agnieszka Malińska

Agnieszka Malińska

  • Department of Histology and Embryology, Poznań University of Medical SciencesPoznań, Poland
  • Division of Anatomy and Histology, University of Zielona GóraZielona Góra, Poland
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Malińska, Agnieszka
, 
Paul Mozdziak

Paul Mozdziak

Physiology Graduate Program, North Carolina State UniversityNC, USA
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Mozdziak, Paul
 oraz 
Michał Nowicki

Michał Nowicki

Department of Histology and Embryology, Poznań University of Medical SciencesPoznań, Poland
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Nowicki, Michał
  
29 kwi 2020
In search of markers useful for evaluation of graft patency - molecular analysis of ‘muscle system process’ for internal thoracic artery and saphenous vein conduits's Cover Image
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Data publikacji: 29 kwi 2020
Zakres stron: 12 - 23
Otrzymano: 11 sty 2020
Przyjęty: 02 mar 2020
DOI: https://doi.org/10.2478/acb-2020-0002
Słowa kluczowe
© 2020 Sandra Kałużna, Mariusz J. Nawrocki, Karol Jopek, Greg Hutchings, Bartłomiej Perek, Marek Jemielity, Bartosz Kempisty, Agnieszka Malińska, Paul Mozdziak, Michał Nowicki, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Heatmaps presenting differentially expressed genes involved in “muscle cell proliferation”, “muscle contraction”, “muscle system process”, “regulation of smooth muscle cell proliferation” and “smooth muscle cell proliferation” based on GO BP terms. Each row on the Y axis represents a single transcript. The red color indicates downregulated genes while the green are upregulated
Heatmaps presenting differentially expressed genes involved in “muscle cell proliferation”, “muscle contraction”, “muscle system process”, “regulation of smooth muscle cell proliferation” and “smooth muscle cell proliferation” based on GO BP terms. Each row on the Y axis represents a single transcript. The red color indicates downregulated genes while the green are upregulated

Figure 2

The circular scatter plots of differentially expressed genes involved in “muscle cell proliferation”, “muscle contraction”, “muscle system process”, “regulation of smooth muscle cell proliferation” and “smooth muscle cell proliferation” GO BP terms. Each dot represents a single gene. The z-scores were presented as segments of inner circles
The circular scatter plots of differentially expressed genes involved in “muscle cell proliferation”, “muscle contraction”, “muscle system process”, “regulation of smooth muscle cell proliferation” and “smooth muscle cell proliferation” GO BP terms. Each dot represents a single gene. The z-scores were presented as segments of inner circles

Figure 3

The dendrogram of differentially expressed genes involved in “muscle cell proliferation”, “muscle contraction”, “muscle system process”, “regulation of smooth muscle cell proliferation” and “smooth muscle cell proliferation” GO BP terms. The DEGs were clustered based on their logFC values
The dendrogram of differentially expressed genes involved in “muscle cell proliferation”, “muscle contraction”, “muscle system process”, “regulation of smooth muscle cell proliferation” and “smooth muscle cell proliferation” GO BP terms. The DEGs were clustered based on their logFC values

Figure 4

Analysis of enriched gene ontological groups involved in muscle system process. The network plot presenting the linkages of genes and GO BP terms
Analysis of enriched gene ontological groups involved in muscle system process. The network plot presenting the linkages of genes and GO BP terms

Figure 5

Heatmap presenting the relationship between genes and selected GO BP terms. The yellow color of tiles indicates the absence of logFC values
Heatmap presenting the relationship between genes and selected GO BP terms. The yellow color of tiles indicates the absence of logFC values

Figure 6

Interaction network of proteins encoded by DEGs belonging to “muscle cell proliferation”, “muscle contraction”, “muscle system process”, “regulation of smooth muscle cell proliferation” and “smooth muscle cell proliferation” GO BP terms. The network was generated by STRING software. Network nodes represent proteins, while empty nodes indicate proteins of unknown 3D structure
Interaction network of proteins encoded by DEGs belonging to “muscle cell proliferation”, “muscle contraction”, “muscle system process”, “regulation of smooth muscle cell proliferation” and “smooth muscle cell proliferation” GO BP terms. The network was generated by STRING software. Network nodes represent proteins, while empty nodes indicate proteins of unknown 3D structure

Figure 7

Reactome FI networks between differentially expressed genes belonging to the “muscle cell proliferation”, “muscle contraction”, “muscle system process”, “regulation of smooth muscle cell proliferation” and “smooth muscle cell proliferation” GO BP terms. “--->” indicates activating/catalyzing, “-|” for inhibition, “-“ FIs extracted from complexes or inputs and “---” predicted FIs
Reactome FI networks between differentially expressed genes belonging to the “muscle cell proliferation”, “muscle contraction”, “muscle system process”, “regulation of smooth muscle cell proliferation” and “smooth muscle cell proliferation” GO BP terms. “--->” indicates activating/catalyzing, “-|” for inhibition, “-“ FIs extracted from complexes or inputs and “---” predicted FIs

Figure 8

Pathway graph of “calcium signaling pathway” based on KEGG database. The red color indicates parts of the pathway that are upregulated in internal thoracic artery conduit while the green color represents components upregulated in saphenous vein conduit
Pathway graph of “calcium signaling pathway” based on KEGG database. The red color indicates parts of the pathway that are upregulated in internal thoracic artery conduit while the green color represents components upregulated in saphenous vein conduit

The 10 most significantly upregulated and 10 most significantly downregulated genes involved in muscle system process

Gene symbolGene nameFold changeAdj. p.val
ACTN2actinin, alpha 210.99<0.05
RBPMS2RNA binding protein with multiple splicing 26.57<0.05
NR4A3nuclear receptor subfamily 4, group A, member 35.72<0.05
KCNA5potassium voltage-gated channel, shaker-related subfamily, member 55.46<0.05
NPR3natriuretic peptide receptor C/guanylate cyclase C (atrionatriuretic peptide receptor C)5.30<0.05
PTGER3prostaglandin E receptor 3 (subtype EP3)3.53<0.05
RBP4retinol binding protein 4, plasma3.23<0.05
OGNosteoglycin3.23<0.05
JAK2Janus kinase 23.18<0.05
MYH11myosin, heavy chain 11, smooth muscle3.17<0.05
PPARGC1Aperoxisome proliferator-activated receptor gamma, coactivator 1 alpha-2.20<0.05
NDRG4NDRG family member 4-2.22<0.05
HTR2A5-hydroxytryptamine (serotonin) receptor 2A, G protein-coupled-2.32<0.05
ITGA2integrin, alpha 2 (CD49B, alpha 2 subunit of VLA-2 receptor)-2.38<0.05
HTR2B5-hydroxytryptamine (serotonin) receptor 2B, G protein-coupled-2.64<0.05
SCN4Bsodium channel, voltage-gated, type IV, beta subunit-3.13<0.05
MYOTmyotilin-3.39<0.05
DESdesmin-4.44<0.05
KCNH2potassium voltage-gated channel, subfamily H (eag-related), member 2-6.25<0.05
P2RX1purinergic receptor P2X, ligand-gated ion channel, 1-6.48<0.05
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Biologia molekularna, Biochemia
Kanał RSS czasopisma