PXD008611

PXD008611 is an original dataset announced via ProteomeXchange.

Title	Quantification strategy for PDX MS data
Description	Data interpreting of PDX proteome is still a problem because with the growth of human cancerous tissue in an immunodeficient mouse, the endothelial cells and fibroblasts from the host mouse replaced human stromal components, making PDX sample a mixture of human and mouse cells. In this study, we created four human and mouse protein mixtures with different human protein percentages as the standard testing sets. We established an easy algorithm to fit the known proportions and used this strategy on a pair of PDX samples. Our data suggested that our new algorithm is feasible and may help to offer more information on PDX proteome data analysis.
HostingRepository	PRIDE
AnnounceDate	2022-05-19
AnnouncementXML	Submission_2022-05-19_04:12:06.547.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Lili Qian
SpeciesList	scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	phosphorylated residue
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2018-01-08 03:39:02	ID requested
⏵ 1	2022-05-19 04:12:07	announced

Cheng X, Qian L, Wang B, Tan M, Li J, SPA: A Quantitation Strategy for MS Data in Patient-derived Xenograft Models. Genomics Proteomics Bioinformatics, 19(4):522-533(2021) [pubmed]

curator keyword: Biomedical

submitter keyword: PDX, LC-MS/MS, LFQ, standard mixture

Minjia Tan
contact affiliation	Shanghai Institute of Materia Medica, Chinese Academy of Sciences
contact email	mjtan@simm.ac.cn
lab head
Lili Qian
contact affiliation	Shanghai Institute of Materia Medica, CAS, China
contact email	liliqian611@gmail.com
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/2022/05/PXD008611

PRIDE project URI

• PRIDE
  1. PXD008611
     1. Label: PRIDE project
     2. Name: Quantification strategy for PDX MS data