PXD042640

PXD042640 is an original dataset announced via ProteomeXchange.

Title	Surprisal Analysis of Patient-Specific Signaling Networks in TNBC
Description	The present study sought to combine surprisal analysis, utilizing systems-level data to predict unbalanced processes in each patient tumor, with quantitative analysis of tyrosine phosphorylation mediated signaling networks to identify potential therapeutic targets and therapeutic combinations in TNBC patient-derived xenografts.
HostingRepository	PRIDE
AnnounceDate	2025-01-14
AnnouncementXML	Submission_2025-01-14_09:21:12.824.xml
DigitalObjectIdentifier	https://dx.doi.org/10.6019/PXD042640
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Jason Conage-Pough
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	phosphorylated residue; monohydroxylated residue; iodoacetamide derivatized residue
Instrument	Orbitrap Exploris 480; Q Exactive Plus

Revision	Datetime	Status	ChangeLog Entry
0	2023-06-02 01:59:34	ID requested
⏵ 1	2025-01-14 09:21:13	announced

10.1186/s12943-023-01921-9;

10.6019/PXD042640;

Alkhatib H, Conage-Pough J, Roy Chowdhury S, Shian D, Zaid D, Rubinstein AM, Sonnenblick A, Peretz-Yablonsky T, Granit A, Carmon E, Kohale IN, Boughey JC, Goetz MP, Wang L, White FM, Kravchenko-Balasha N, Patient-specific signaling signatures predict optimal therapeutic combinations for triple negative breast cancer. Mol Cancer, 23(1):17(2024) [pubmed]

submitter keyword: surprisal analysis, PDX, triple negative breast cancer, phosphoproteomics, PaSSS

Forest Michael White
contact affiliation	Department of Biological Engineering, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
contact email	fwhite@mit.edu
lab head
Jason Conage-Pough
contact affiliation	MIT
contact email	jasoncp@mit.edu
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/2025/01/PXD042640

PRIDE project URI

• PRIDE
  1. PXD042640
     1. Label: PRIDE project
     2. Name: Surprisal Analysis of Patient-Specific Signaling Networks in TNBC