PXD011835

PXD011835 is an original dataset announced via ProteomeXchange.

Title	HEK293T MS - Representing dynamic biological networks with multi-scale probabilistic models
Description	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.
HostingRepository	PRIDE
AnnounceDate	2021-03-04
AnnouncementXML	Submission_2021-03-04_14:41:01.236.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Johann Kraus
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	acetylated residue; iodoacetamide derivatized residue
Instrument	LTQ Orbitrap Velos

Revision	Datetime	Status	ChangeLog Entry
0	2018-11-27 01:46:31	ID requested
⏵ 1	2021-03-04 14:41:02	announced

Gro, ß A, Kracher B, Kraus JM, K, ü, hlwein SD, Pfister AS, Wiese S, Luckert K, P, ö, tz O, Joos T, Van Daele D, De Raedt L, K, ü, hl M, Kestler HA, Representing dynamic biological networks with multi-scale probabilistic models. Commun Biol, 2():21(2019) [pubmed]

curator keyword: Biological

submitter keyword: Human, HEK293T, st-RNA knockdown, RAC1, JNK1, JNK2

Hans A. Kestler
contact affiliation	Institute of Medical Systems Biology, Ulm University, Germany
contact email	hans.kestler@uni-ulm.de
lab head
Johann Kraus
contact affiliation	Ulm University
contact email	johann.kraus@uni-ulm.de
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2019/11/PXD011835

PRIDE project URI

• PRIDE
  1. PXD011835
     1. Label: PRIDE project
     2. Name: HEK293T MS - Representing dynamic biological networks with multi-scale probabilistic models