PXD018180-1

PXD018180 is an original dataset announced via ProteomeXchange.

Title	PASS-DIA: A novel data-independent acquisition approach for discovery studies
Description	We present a strategy termed PASS-DIA (Precursor ion And Small Slice-DIA) in which MS/MS spectra are acquired with small isolation window (slices) and MS/MS spectra are interpreted with accurately measured precursor ion masses. This method enables direct application of conventional spectrum-centric analysis pipelines for peptide identification and precursor ion-based quantitation. The performance of PASS-DIA was superior to both DDA and conventional DIA experiment with regard to identification of peptides. Application of PASS-DIA for analysis of samples with post-translationally modified peptides such as phosphorylation and N-glycosylation again revealed its superior performance. Finally, use of PASS-DIA to characterize a rare proteome of human fallopian tube organoid samples revealed biologically relevant and low abundance proteins. Overall, PASS-DIA is a novel DIA approach for use as a discovery tool which outperforms both conventional DDA and DIA experiments to provide additional protein information. We believe that PASS-DIA method could become an important strategy for discovery type studies when deeper proteome characterization is required.
HostingRepository	PRIDE
AnnounceDate	2024-08-02
AnnouncementXML	Submission_2024-08-01_23:32:07.424.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Akhilesh Pandey
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	phosphorylated residue; monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2020-03-24 23:43:34	ID requested
⏵ 1	2024-08-01 23:32:08	announced
2	2024-10-22 06:52:13	announced	2024-10-22: Updated project metadata.

10.1021/acs.analchem.0c02513;

Mun DG, Renuse S, Saraswat M, Madugundu A, Udainiya S, Kim H, Park SR, Zhao H, Nirujogi RS, Na CH, Kannan N, Yates JR, Lee SW, Pandey A, PASS-DIA: A Data-Independent Acquisition Approach for Discovery Studies. Anal Chem, 92(21):14466-14475(2020) [pubmed]

submitter keyword: Human,Data-independent acquisition, LC-MS/MS

Akhilesh Pandey
contact affiliation	Professor, Department of Laboratory Medicine and Pathology Center for Individualized Medicine, Mayo Clinic
contact email	Pandey.Akhilesh@mayo.edu
lab head
Akhilesh Pandey
contact affiliation	Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905
contact email	pandey.akhilesh@mayo.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/2024/08/PXD018180

PRIDE project URI

• PRIDE
  1. PXD018180
     1. Label: PRIDE project
     2. Name: PASS-DIA: A novel data-independent acquisition approach for discovery studies