PXD020910

PXD020910 is an original dataset announced via ProteomeXchange.

Title	Quantitative LC-MS/MS Proteomics of human liver microsomes
Description	We report label-free quantification of xenobiotic metabolizing enzymes (XME), transporters, redox enzymes, proteases and nucleases in 20 human liver microsomal samples. More than 3500 proteins were identified and quantified. These data can be used in physiologically based pharmacokinetic models to predict appropriate drug doses for a wide variety of drugs.
HostingRepository	PRIDE
AnnounceDate	2021-09-08
AnnouncementXML	Submission_2021-09-08_06:57:46.694.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Jill Barber
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2020-08-14 02:45:43	ID requested
⏵ 1	2021-09-08 06:57:47	announced

Al-Majdoub ZM, Achour B, Couto N, Howard M, Elmorsi Y, Scotcher D, Alrubia S, El-Khateeb E, Vasilogianni AM, Alohali N, Neuhoff S, Schmitt L, Rostami-Hodjegan A, Barber J, Mass spectrometry-based abundance atlas of ABC transporters in human liver, gut, kidney, brain and skin. FEBS Lett, 594(23):4134-4150(2020) [pubmed]

submitter keyword: Human, adult livers, LC-MS/MS, quantitative proteomics

Jill Barber
contact affiliation	Centre for Applied Pharmacokinetic Research, School of Health Sciences, The University of Manchester, UK
contact email	jill.barber@manchester.ac.uk
lab head
Jill Barber
contact affiliation	The University of Manchester
contact email	Jill.barber@manchester.ac.uk
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/2021/09/PXD020910

PRIDE project URI

• PRIDE
  1. PXD020910
     1. Label: PRIDE project
     2. Name: Quantitative LC-MS/MS Proteomics of human liver microsomes