PFKL Cancer Research Results
PFKL, Phosphofructokinase, Liver: Click to Expand ⟱
| Source: |
| Type: enzyme |
PFKL (Phosphofructokinase, Liver) is an enzyme that plays a crucial role in glycolysis, the process by which cells convert glucose into energy. PFKL is a key regulatory enzyme in the glycolytic pathway, and it is primarily expressed in the liver.
PFKL has been shown to be overexpressed in certain types of tumors, including liver cancer. This overexpression may contribute to the development and progression of cancer by promoting glycolysis and energy production in cancer cells.
PFKL is a key regulatory enzyme in the glycolytic pathway.
PFKL plays a role in the regulation of glucose metabolism in diabetes.
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Scientific Papers found: Click to Expand⟱
*TumCMig↑, PEMFs with specific parameter (4mT, 80 Hz) promoted cell migration and viability.
*tumCV↑,
*Glycolysis↑, PEMFs-exposed L929 cells was highly glycolytic for energy generation
*ROS↓, PEMFs enhanced intracellular acidification and maintained low level of intracellular ROS in L929 cells.
*mitResp↓, shifting from mitochondrial respiration to glycolysis
*other↝, Furthermore, the analysis of ECAR/ OCR basal ratio demonstrated a tendency toward to glycolytic phenotype in L929 cells under PEMF exposure, compared to control group
*OXPHOS↓, PEMFs promoted the transformation of energy metabolism pattern from oxidative phosphorylation to aerobic glycolysis
*pH↑, result of pH detection by flow cytometer indicated the pH level in L929 cells was significantly increased in the PEMFs group compared to the control group
*antiOx↑, PEMFs upregulated the expression of antioxidant or glycolysis related genes
*PFKM↑, Pfkm, Pfkl, Pfkp, Pkm2, Hk2, Glut1, were also significantly up-regulated in the PEMFs group
*PFKL↑,
*PKM2↑,
*HK2↑,
*GLUT1↑,
*GPx1↑, GPX1, GPX4 and Sod 1 expression were significantly higher in the PEMFs group compared to the control group
*GPx4↑,
*SOD1↑,
*angioG↑, PEMFs promoted a shift in the energy metabolism pattern of HUVECs from oxidative phosphorylation to aerobic glycolysis.
*GPx1↑, 4x
*GPx4↑, 2.2x
*SOD↑, SOD1/2 3.5x
*PFKM↑, 3x
*PFKL↑, 2.5x
*PKM2↑, 2.6x : activation of PKM2 enhanced angiogenesis in endothelial cells (ECs) by modulating glycolysis, mitochondrial fission, and fusion
*PFKP↑, 2.8x
*HK2↑, 4x
*GLUT1↑, 1.5x
*GLUT4↑, 1.6x
*ROS↓, reminder: normal HUVECs cells
*MMP↝, no damage, (normal cells)
*Glycolysis↑, (PFKL, PFKLM, PFKP, PKM2, and HK2) encoding the three key regulatory enzymes of glycolysis, hexokinase, phosphofructokinase, and pyruvate kinase, sharply increased when HUVECs were exposed to PEMFs
*OXPHOS↓, PEMFs promoted a shift in the energy metabolism pattern of HUVECs from oxidative phosphorylation to aerobic glycolysis
*Apoptosis↓, 40 μM quercetin improved cell viability, reduced apoptosis, and preserved cell functions.
*ROS↓, Quercetin also decreased reactive oxygen species (ROS) levels in TM4 cells exposed to FB1
*antiOx↓, enhanced the expression of antioxidant genes
*MMP↑, improved mitochondrial membrane potential.
*GPI↑, elevated the mRNA and protein expression of glycolysis-related genes, including (Gpi1), (Hk2), (Aldoa), (Pkm), lactate (Ldha) and (Pfkl)
*HK2↑,
*ALDOA↑,
*PKM1↑,
*LDHA↑,
*PFKL↑,
Showing Research Papers: 1 to 3 of 3
* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 3
Pathway results for Effect on Cancer / Diseased Cells:
Total Targets: 0
Pathway results for Effect on Normal Cells:
Redox & Oxidative Stress ⓘ
antiOx↓, 1, antiOx↑, 1, GPx1↑, 2, GPx4↑, 2, OXPHOS↓, 2, ROS↓, 3, SOD↑, 1, SOD1↑, 1,
Mitochondria & Bioenergetics ⓘ
mitResp↓, 1, MMP↑, 1, MMP↝, 1,
Core Metabolism/Glycolysis ⓘ
ALDOA↑, 1, Glycolysis↑, 2, GPI↑, 1, HK2↑, 3, LDHA↑, 1, PFKL↑, 3, PFKM↑, 2, PFKP↑, 1, PKM1↑, 1, PKM2↑, 2,
Cell Death ⓘ
Apoptosis↓, 1,
Transcription & Epigenetics ⓘ
other↝, 1, tumCV↑, 1,
Migration ⓘ
TumCMig↑, 1,
Angiogenesis & Vasculature ⓘ
angioG↑, 1,
Barriers & Transport ⓘ
GLUT1↑, 2, GLUT4↑, 1,
Cellular Microenvironment ⓘ
pH↑, 1,
Total Targets: 29
Scientific Paper Hit Count for: PFKL, Phosphofructokinase, Liver
Query results interpretion may depend on "conditions" listed in the research papers.
Such Conditions may include :
-low or high Dose
-format for product, such as nano of lipid formations
-different cell line effects
-synergies with other products
-if effect was for normal or cancerous cells
Filter Conditions: Pro/AntiFlg:% IllCat:% CanType:% Cells:% prod#:% Target#:770 State#:% Dir#:2
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