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Biogrammar Summary of Tau oligomers and tau toxicity in neurodegenerative disease 1.0.0

Table of Contents

  1. Contradictory Pairs
  2. Contradictory Triplets
  3. Causal Pathologies

Contradictory Statements 2

These pairs of nodes have a contradiction in their causal relationships, meaning they have more than one of INCREASES, DECREASES, or CAUSES NO CHANGE. This may be due to different experimental conditions, so these statements need to be carefully considered in analyses.

Source Relations Target
complex(a(HBP:"Tau oligomers"), p(HGNC:HSPA1A)) decreases, increases bp(GO:"anterograde axonal protein transport")
p(HGNC:HSPA1A) decreases, increases a(HBP:"Tau aggregates")

Contradictory Triplets 2

Analysis of triple stability comes from a deep graph theoretic background. It identifies triangles within the graph that have logically inconsistent relations.

Separately Unstable Triplet
When both A positiveCorrelation B, B negativeCorrelation C, but C positiveCorrelation A.
Mutually Unstable Triplets
When both A negativeCorrelation B, B negativeCorrelation C, and C negativeCorrelation A.
Jens Contradictory Triplet
When A increases B, A decreases C, and C positiveCorrelation A.
Increase Mismatch Triplet
When A increases B, A increases C, and C negativeCorrelation A.
Decrease Mismatch Triplet
When A decreases B, A decreases C, and C negativeCorrelation A.
Type Node A Node B Node C
Jens a(HBP:"Tau aggregates") a(HBP:"Tau oligomers") path(MESH:"Alzheimer Disease")
Jens a(HBP:"Tau aggregates") p(HGNC:MAPT, pmod(Ph)) path(MESH:"Alzheimer Disease")

Causal Pathologies 2

Pathologies are more dogmatically the result of molecular and physical processes, and do not necessarily make sense as the subject of causal statements.

Source Relation Target
path(MESH:"Alzheimer Disease") increases a(HBP:"Tau oligomers")
path(MESH:"Alzheimer Disease") increases p(HGNC:MAPT, pmod(Ph))

About

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If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.