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Table 3 List of pathways impacted by AgNPs or Ag+ and DEGs involved in the pathways

From: Toxicity of nano- and ionic silver to embryonic stem cells: a comparative toxicogenomic study

Ingenuity Canonical Pathways

AgNPs

Ag+

p value

Molecules

p value

Molecules

Embryonic development

 Transcriptional regulatory network in embryonic stem cells

0.0005

HAND1, L1CAM, FOXC1

0.0000

HAND1, GATA6, L1CAM, EOMES, SKIL, HOXB1, FOXC1, GATA4

 Human embryonic stem cell pluripotency

0.0178

SMAD7, SMAD6, BMP5

0.0074

BMP4, WNT3, BMP2, SMAD7, SMAD6, BMP5, FZD2

 Mouse embryonic stem cell pluripotency

  

0.0002

LIFR, MYC, ID1, ID2, BMP4, T, ID3, FZD2

 Role of NANOG in mammalian embryonic stem cell pluripotency

  

0.0001

LIFR, BMP4, T, WNT3, BMP2, GATA6, BMP5, FZD2, GATA4

 Embryonic stem cell differentiation into cardiac lineages

  

0.0115

T, GATA4

 Factors promoting cardiogenesis in vertebrates

  

0.0045

BMP4, WNT3, BMP2, BMP5, FZD2, GATA4

 Cardiomyocyte differentiation via BMP receptors

0.0022

SMAD6, BMP5

0.0000

BMP4, BMP2, SMAD6, BMP5, GATA4

 Regulation of the epithelial–mesenchymal transition pathway

0.0407

FOXC2, FGF14, PARD6B

0.0003

ETS1, FOXC2, ID2, FGF10, WNT3, FGF14, PARD6B, FGF3, NOTCH1, FZD2, FGF19

 Hepatic fibrosis/hepatic stellate cell activation

  

0.0010

IGFBP4, COL4A1, FLT1, KLF6, SMAD7, LAMA1, BAMBI, IGFBP5, COL4A2, KDR

 Axonal guidance signaling

  

0.0000

SLIT3, SHH, PAPPA, BMP4, WNT3, BMP2, UNC5B, L1CAM, HHIP, SLIT2, ROBO3, BMP5, NTN1, EFNB2, PRKAR2B, GLIS1, TUBB4A, FZD2, PTCH2, NRP1, UNC5C

 BMP signaling pathway

0.0034

SMAD7, SMAD6, BMP5

0.0003

BMP4, PRKAR2B, BMP2, SMAD7, SMAD6, BMP5, CHRD

 ERK5 signaling

  

0.0209

MYC, RPS6KA6, SGK1, CREB3L4

 FGF signaling

  

0.0141

FGF10, FGF14, CREB3L4, FGF3, FGF19

 Netrin signaling

  

0.0040

PRKAR2B, UNC5B, NTN1, UNC5C

 Notch signaling

  

0.0004

DLL1, LFNG, DLL3, HES7, NOTCH1

 RAR activation

0.0427

ALDH1A2, SMAD7, SMAD6

0.0148

PRKAR2B, CYP26A1, BMP2, ALDH1A2, SMAD7, SMAD6, ADCY8, RBP1

 Sonic Hedgehog signaling

  

0.0001

SHH, PRKAR2B, GLIS1, HHIP, PTCH2

 TGF-β signaling

0.0490

SMAD7, SMAD6

  

 eNOS signaling

0.0191

Hspa1b, HSPA1A/HSPA1B, KDR

0.0007

PRKAR2B, FLT1, HSPA1A/HSPA1B, PRKAA2, AQP8, ADCY8, KDR, LPAR3, NOSTRIN

 VEGF family ligand-receptor interactions

0.0389

KDR, NRP1

  

Metabolism

 Choline biosynthesis III

0.0490

HMOX1

  

 Corticotropin releasing hormone signaling

  

0.0389

SHH, PRKAR2B, CREB3L4, ADCY8, PTCH2

 FXR/RXR activation

  

0.0200

TTR, APOB, VTN, VLDLR, MTTP, FGF19

 Heme degradation

0.0166

HMOX1

  

 Histamine degradation

0.0490

ALDH1A2

  

 NAD biosynthesis II (from tryptophan)

0.0490

TDO2

  

 Retinoate biosynthesis I

  

0.0174

BMP2, ALDH1A2, RBP1

 Serotonin degradation

0.0145

UGT2B28, ALDH1A2

  

 Sulfate activation for sulfonation

  

0.0331

PAPSS2

 Tryptophan degradation to 2-amino-3-carboxymuconate semialdehyde

0.0288

TDO2

  

 Tyrosine biosynthesis IV

  

0.0490

PCBD1

 Vitamin-C transport

  

0.0251

SLC23A1, GLRX

 Xenobiotic metabolism signaling

0.0178

UGT2B28, HMOX1, ALDH1A2, CES2

  

Stress response

 Unfolded protein response

0.0209

Hspa1b, HSPA1A/HSPA1B

  

Cancer

 Molecular mechanisms of cancer

  

0.0013

SHH, Naip1 (includes others), BMP4, WNT3, BMP2, SMAD7, SMAD6, BMP5, MYC, CCND2, PRKAR2B, ADCY8, FZD2, NOTCH1, PTCH2

 Basal cell carcinoma signaling

  

0.0000

SHH, BMP4, WNT3, GLIS1, BMP2, HHIP, BMP5, FZD2, PTCH2

 Bladder cancer signaling

  

0.0155

MYC, FGF10, FGF14, FGF3, FGF19