Dataset Information

Depleted Prefractionated Human Plasma for Data Independent Acquisition Spectral Library

ABSTRACT: We established a spectral library for data-independent analysis of human plasma samples, using a pooled plasma sample from Danish adults. The samples were prepared for proteome analysis using an in-house developed protocol consuming one microliter of plasma per sample, and the tryptic digest and subsequent C18 purification was performed in 96-well plates. The spectral library consists of plasma which was analyzed neat (i.e. non-treated), and top 14 depleted. The samples were subjected to high pH reversed-phase peptide fractionated using C18 tips (8 fraction) and a HPLC system (20 fraction). The resulting peptides were analyzed on a Q Exactive with a capflow reversed-phase C18 LC-MS/MS setup in data-dependent mode. The final spectral library contains 21788 precursors and 1000 proteins (both at FDR<0.01).

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Tue Bjerg Bennike

LAB HEAD: Hanno Steen

PROVIDER: PXD008163 | Pride | 2018-04-20

REPOSITORIES: Pride

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Publications

A Cost-Effective High-Throughput Plasma and Serum Proteomics Workflow Enables Mapping of the Molecular Impact of Total Pancreatectomy with Islet Autotransplantation.

Bennike Tue Bjerg TB Bellin Melena D MD Xuan Yue Y Stensballe Allan A Møller Frederik Trier FT Beilman Gregory J GJ Levy Ofer O Cruz-Monserrate Zobeida Z Andersen Vibeke V Steen Judith J Conwell Darwin L DL Steen Hanno H

Journal of proteome research 20180419 5

Blood is an ideal body fluid for the discovery or monitoring of diagnostic and prognostic protein biomarkers. However, discovering robust biomarkers requires the analysis of large numbers of samples to appropriately represent interindividual variability. To address this analytical challenge, we established a high-throughput and cost-effective proteomics workflow for accurate and comprehensive proteomics at an analytical depth applicable for clinical studies. For validation, we processed 1 μL eac ...[more]

PMID: 29641209

Similar Datasets

Project description:Total pancreatectomy with islet cell autotransplantation (TPIAT) is a surgical treatment modality used for the management of painful chronic pancreatitis when medical and endoscopic therapies fail. Total pancreatectomy (TP) results in a number of clinical implications. However, the glucose-responsive insulin secretion can be preserved by combining TP with islet cell autotransplant (IAT). Despite the known clinical implications of TPIAT, the systemic molecular effects of TPIAT remains poorly investigated. Therefore, we performed the first hypothesis-generating study of the urinary proteome before and after TPIAT. The RAW- and processed data from the analysis can be found in this repository. Twenty-two chronic pancreatitis patients eligible for TPIAT were prospectively enrolled in the study at the University of Minnesota Medical Center between September 2011 and February 2014. Urine was collected within the week pre-TPIAT and 12-18 months post-TPIAT, resulting in 44 paired samples. The paired experimental design allowed us to subtract interpersonal differences. The unique set of urine samples were prepared for bottom-up label-free quantitative proteomics using the in-house developed ‘MStern’ protocol for the 96-well plate compatible processing of the urine samples. The samples were analyzed by LC-MS/MS and 2477 proteins were identified (FDR<0.01%). Five samples were found to have less than 30% of the cumulated list of proteins (<743 proteins) and so these samples and their respective matching sample were thus removed from the analysis. This resulted in a complete dataset with 17 matched pre- and post-TPIAT sample pairs. The final list of recommended included pairs for future analysis are indicated in the PX_TPIAT_Metadata.csv file. Note that extended clinical information only was available for the included samples. Furthermore, the information is only listed for the pre-TPIAT sample but applies to both the pre- and post-TPIAT participant sample. The data allows for studying the systemic molecular impact of the TPIAT procedure.

			Action	DRS
	03_neat01.raw	Raw
	03_neat02.raw	Raw
	03_neat03.raw	Raw
	03_neat04.raw	Raw
	03_neat05.raw	Raw