Table 1 Selected hepatic transcripts differentially upregulated in male pigs fed the steatotic diet according to RNAseq at the level of FDR < 0.001 and FPKM ≥ 0.3.

From: Hepatic galectin-3 is associated with lipid droplet area in non-alcoholic steatohepatitis in a new swine model

 

Gene ID

 

Symbol

Initial state (FPKM)

Steatosis (FPKM)

Log2 FC

Up-regulated

Apoptosis, cell adhesion

100,038,033

Galectin-3

LGALS3

4.3 ± 1.8

274.9 ± 81.9

6.0

Growth delay and reduction of metastatic potential

100,049,669

Glycoprotein NMB

GPNMB

24 ± 6

776 ± 303

5.0

Activation of macrophages

100,520,753

Macrosialin

CD68

1 ± 0.5

16 ± 9

4.9

Transport of bile acids

100,525,144

Solute carrier family 51 subunit beta

SLC51B

0.3 ± 0.1

8.0 ± 4.8

4.8

Production of interferon-gamma and interleukin-12

397,087

Osteopontin

SPP1

6.1 ± 2.5

151 ± 73

4.6

Down-regulated

Cu and Zn transport

397,123

Metallothionein-3

MT3

8.6 ± 1.6

0.4 ± 0.1

− 4.3

Protein folding

100,514,482

Anterior gradient protein 2

AGR2

8 ± 13

0.6 ± 0.1

− 3.7

Resistance to TNF-induced apoptosis

100,302,365

Phosphatidylethanolamine-binding protein 4

PEBP4

2.6 ± 0.8

0.3 ± 0.3

− 3.0

Nucleotide import

100,156,347

Calcium-binding mitochondrial carrier protein

SLC25A25

64 ± 71

8.3 ± 1.3

− 2.9

Breakdown of phosphoethanolamine

100,519,324

Ethanolamine-phosphate phospho-lyase

ETNPPL

23 ± 16

3.2 ± 1.8

− 2.9

Copper transport

100,037,920

Metallothionein-1E

MT1D

9491 ± 1350

1318 ± 775

− 2.8

Oxidation of squalene

100,113,409

Squalene epoxidase

SQLE

34.6 ± 7

5.1 ± 8.2

− 2.8

Binding of divalent heavy metal ions

102,166,944

Metallothionein-1A

MT1A

4311 ± 913

644 ± 325

− 2.7

Copper ion binding

100,151,998

Monooxygenase, DBH-like 1

MOXD1

1.8 ± 0.5

0.3 ± 0.1

− 2.7

Post-transcriptional repressor

100,157,783

Nanos C2HC-type zinc finger 1

NANOS1

1.3 ± 1.1

0.2 ± 0.0

− 2.6

  1. Data are means ± SD. FPKM, fragments per kilo base per million mapped reads; Log2 FC, log2 fold change steatosis/ initial state. Only genes with counts in more than 75% of samples have been taken into consideration.
  2. Biological function obtained from https://www.genecards.org/.