PXD023244-2

PXD023244 is an original dataset announced via ProteomeXchange.

Title	Bioinformatic analysis of the wound peptidome reveals potential biomarkers and antimicrobial peptides
Description	Peptidomic analysis and methodological development of characterization of low molecular weight peptidome of human wound fluids. Wounds are dynamic environments with high proteolytic activity. Therefore, the study of peptides, being the degradational product of proteins, are of interest when diagnosing infection as well as understanding wound physiology. Three types of wound fluids are studied: acute (sterile), infected and non- infected (unsterile from facial skin graft surgery). We have provided a methodology for sample preparation and analysis, as well as the first quantification of wound fluid peptidomes using LC-MS/MS data, sorting algorithms and 3 rd party software. Furthermore, we visualize the differences between the abovementioned peptidomes and create a methodology for peptidomic analysis of LC-MS/MS data. We report several findings regarding the general characteristics, protease environment and P1-P1’/P4-P4’ prominence in the various fluids. Additionally, we find that there is an abundance of antimicrobial peptides derived from hemoglobin subunit beta in infected wounds. Furthermore, we crosscheck our data with existing literature, quantifying abundance of potential biomarkers.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_05:17:54.956.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Anahita Bakochi
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; deamidated residue
Instrument	Q Exactive HF; Orbitrap Fusion

Revision	Datetime	Status	ChangeLog Entry
0	2020-12-21 02:38:39	ID requested
1	2021-01-18 00:00:19	announced
⏵ 2	2024-10-22 05:17:55	announced	2024-10-22: Updated project metadata.

Dataset with its publication pending

submitter keyword: Peptidomics wound fluid

Sven Kjellström
contact affiliation	Division of clinical sciences (IKVL), Department for infectious diseases, BMC D13, Lund University
contact email	sven.kjellstrom@med.lu.se
lab head
Anahita Bakochi
contact affiliation	Lund University
contact email	anahita.bakochi@med.lu.se
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD023244
     1. Label: PRIDE project
     2. Name: Bioinformatic analysis of the wound peptidome reveals potential biomarkers and antimicrobial peptides