Proteomics

Dataset Information

0

HEK293T MS - Representing dynamic biological networks with multi-scale probabilistic models


ABSTRACT: As an example of a comprehensive model of signal transduction, we provide a Wnt network that shows remarkable robustness under a range of phenotypical and pathological conditions. Its simulation allows the clarification of controversially discussed molecular mechanisms of Wnt signalling by predicting wet-lab measurements. A loss of Rac1 (Ras-related C3 botulinum toxin substrate 1) or JNK2 affected the TCF/LEF reporter whereas a loss of JNK1 had only mild effects, likely due to low abundance of JNK1.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell, Kidney

SUBMITTER: Johann Kraus  

LAB HEAD: Hans A. Kestler

PROVIDER: PXD011835 | Pride | 2019-11-12

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
CUPro18460.raw Raw
CUPro18461.raw Raw
CUPro18462.raw Raw
CUPro18463.raw Raw
CUPro18464.raw Raw
Items per page:
1 - 5 of 26
altmetric image

Publications


Dynamic models analyzing gene regulation and metabolism face challenges when adapted to modeling signal transduction networks. During signal transduction, molecular reactions and mechanisms occur in different spatial and temporal frames and involve feedbacks. This impedes the straight-forward use of methods based on Boolean networks, Bayesian approaches, and differential equations. We propose a new approach, ProbRules, that combines probabilities and logical rules to represent the dynamics of a  ...[more]

Similar Datasets

2018-11-22 | E-MTAB-7028 | biostudies-arrayexpress
2018-11-02 | E-MTAB-7029 | biostudies-arrayexpress
2020-08-25 | GSE139668 | GEO
2022-10-05 | PXD030464 | Pride
2022-10-05 | PXD035624 | Pride
| phs001433 | dbGaP
2016-02-23 | E-GEOD-78159 | biostudies-arrayexpress
2016-02-23 | GSE78159 | GEO
2022-12-13 | GSE199835 | GEO
2022-07-16 | E-MTAB-11951 | biostudies-arrayexpress