Beclin-1 Cancer Research Results

Beclin-1, Beclin-1 (BECN1 gene): Click to Expand ⟱
Source:
Type: Protein Coding gene
Beclin 1, an autophagy and haploinsufficient tumor-suppressor protein, is frequently monoallelically deleted in breast and ovarian cancers. However, the precise mechanisms by which Beclin 1 inhibits tumor growth remain largely unknown.
A key biomarker of autophagy is Beclin-1. Beclin-1 stimulates LC3-I’s lipidation to produce LC3-II, which localizes to the autophagosome membrane to activate the development of autophagosomes.
-BECN1 = the official gene symbol (human gene name)
-Beclin-1 = the protein name encoded by the BECN1 gene
Diabetic, Diabetic: Click to Expand ⟱
Diabetic
Scientific Papers found: Click to Expand⟱
2677- BBR,    Liposome-Encapsulated Berberine Alleviates Liver Injury in Type 2 Diabetes via Promoting AMPK/mTOR-Mediated Autophagy and Reducing ER Stress: Morphometric and Immunohistochemical Scoring
- in-vivo, Diabetic, NA
*hepatoP↑, *LC3II↑, *Beclin-1↑, *AMPK↑, *mTOR↑, *ER Stress↓, *CHOP↓, *JNK↓, *ROS↓, *Inflam↓, *BG↓, *SOD↑, *GPx↑, *Catalase↑, *IL10↑, *IL6↓, *TNF-α↓, *ALAT↓, *AST↓, *ALP↓,

Showing Research Papers: 1 to 1 of 1

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 1

Pathway results for Effect on Cancer / Diseased Cells:


Total Targets: 0

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress ⓘ

Catalase↑, 1,   GPx↑, 1,   ROS↓, 1,   SOD↑, 1,  

Core Metabolism/Glycolysis ⓘ

ALAT↓, 1,   AMPK↑, 1,  

Cell Death ⓘ

JNK↓, 1,  

Protein Folding & ER Stress ⓘ

CHOP↓, 1,   ER Stress↓, 1,  

Autophagy & Lysosomes ⓘ

Beclin-1↑, 1,   LC3II↑, 1,  

Proliferation, Differentiation & Cell State ⓘ

mTOR↑, 1,  

Immune & Inflammatory Signaling ⓘ

IL10↑, 1,   IL6↓, 1,   Inflam↓, 1,   TNF-α↓, 1,  

Clinical Biomarkers ⓘ

ALAT↓, 1,   ALP↓, 1,   AST↓, 1,   BG↓, 1,   IL6↓, 1,  

Functional Outcomes ⓘ

hepatoP↑, 1,  
Total Targets: 22

Scientific Paper Hit Count for: Beclin-1, Beclin-1 (BECN1 gene)
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:61  Cells:%  prod#:%  Target#:30  State#:%  Dir#:2
  wNotes=0  sortOrder:rid,rpid

 

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