PXD034962-1

PXD034962 is an original dataset announced via ProteomeXchange.

Title	Deep and fast label-free Dynamic Organellar Mapping - DDA data
Description	The Dynamic Organellar Maps (DOMs) approach combines cell fractionation and shotgun-proteomics for global profiling analysis of protein subcellular localization. Here, we have drastically enhanced the performance of DOMs through data-independent acquisition (DIA) mass spectrometry (MS). DIA-DOMs achieve twice the depth of our previous workflow in the same MS runtime, and substantially improve profiling precision and reproducibility. This repository contains all DDA-LFQ datasets used in our work: A reference dataset acquired in single shot on 100 min gradients and three fractionated datasets providing measured libraries for DIA searches on 100 min, 44 min and 21 min gradients.
HostingRepository	PRIDE
AnnounceDate	2023-08-25
AnnouncementXML	Submission_2023-08-25_14:31:23.284.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	JuliaSchessner
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Exploris 480

Revision	Datetime	Status	ChangeLog Entry
0	2022-06-29 15:06:31	ID requested
⏵ 1	2023-08-25 14:31:23	announced
2	2023-11-14 07:16:29	announced	2023-11-14: Updated project metadata.
3	2024-10-22 06:01:50	announced	2024-10-22: Updated project metadata.

submitter keyword: Dynamic organellar maps, DIA, data quality control, data-independent acquisition mass spectrometry, spatial proteomics, profiling analysis

GeorgH.H.
contact affiliation	Department of Proteomics and Signal Transduction, Systems Biology of Membrane Trafficking Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany
contact email	borner@biochem.mpg.de
lab head
JuliaSchessner
contact affiliation	Max-Planck-Institute of Biochemistry
contact email	schessner@biochem.mpg.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/2023/08/PXD034962

PRIDE project URI

• PRIDE
  1. PXD034962
     1. Label: PRIDE project
     2. Name: Deep and fast label-free Dynamic Organellar Mapping - DDA data