Parker - CiRT_Peptides

Identification of a Set of Conserved Eukaryotic Internal Retention Time Standards for Data-independent Acquisition Mass Spectrometry.

  • Organism: Human, Mouse, Yeast
  • Instrument: TripleTOF, Orbitrap/HCD
  • SpikeIn: No
Abstract
Accurate knowledge of retention time (RT) in liquid chromatography-based mass spectrometry data facilitates peptide identification, quantification, and multiplexing in targeted and discovery-based workflows. Retention time prediction is particularly important for peptide analysis in emerging data-independent acquisition (DIA) experiments such as SWATH-MS. The indexed RT approach, iRT, uses synthetic spiked-in peptide standards (SiRT) to set RT to a unit-less scale, allowing for normalization of peptide RT between different samples and chromatographic set-ups. The obligatory use of SiRTs can be costly and complicates comparisons and data integration if standards are not included in every sample. Reliance on SiRTs also prevents the inclusion of archived mass spectrometry data for generation of the peptide assay libraries central to targeted DIA-MS data analysis. We have identified a set of peptide sequences that are conserved across most eukaryotic species, termed Common internal Retention Time standards (CiRT). In a series of tests to support the appropriateness of the CiRT-based method, we show: (1) the CiRT peptides normalized RT in human, yeast, and mouse cell lysate derived peptide assay libraries and enabled merging of archived libraries for expanded DIA-MS quantitative applications; (2) CiRTs predicted RT in SWATH-MS data within a 2-min margin of error for the majority of peptides; and (3) normalization of RT using the CiRT peptides enabled the accurate SWATH-MS-based quantification of 340 synthetic isotopically labeled peptides that were spiked into either human or yeast cell lysate. To automate and facilitate the use of these CiRT peptide lists or other custom user-defined internal RT reference peptides in DIA workflows, an algorithm was designed to automatically select a high-quality subset of datapoints for robust linear alignment of RT for use. Implementations of this algorithm are available for the OpenSWATH and Skyline platforms. Thus, CiRT peptides can be used alone or as a complement to SiRTs for RT normalization across peptide spectral libraries and in quantitative DIA-MS studies.
Experiment Description
The shared document includes the iRT database of CiRT peptides and their assigned iRT values, as well as a transition list for assaying CiRT peptides in a given sample. Fragment ion intensities for transitions correspond to those obtained on SCIEX TripleTOF instruments or possibly also Orbitrap instruments operating in HCD fragmentation mode.
Sample Description
Peptides were identified from iRT-aligned DDA searches of mouse, human, and yeast cell lysates. Peptides in common across all samples were identified (original N=113). The best performing peptides with lowest signal to noise / ambiguity, with good distribution across the chromatographic space, were selected into the curated CiRT_SW list for use in DIA dataset alignment to iRT. The files shared in this document are intended to enable users to set up their own iRT calculators with their DIA datasets using CiRT Peptides.
Created on 10/27/15, 4:00 PM
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CiRT_SW_2015-10-27_13-23-58.sky.zip (10 KB)2015-10-2791414660

The CiRT_SW.sky file contains peptide and transition information for establishing a user-specific RT-prediction calculator in skyline. Alternatively, the CiRT_SW.csv file (attached) can be uploaded to a blank skyline document using Edit > Insert > Transition List. 

The iRT-database file (CiRT_SW.irtdb) associated with this page provides the CiRT peptides and their assigned iRT values from the manuscript. Alternatively, the CiRT_SW_peptides_for_skyline.xlsx file (attached below) can be built as a new iRT database by the user. 

  Attached Files  
   
 CiRT_SW.csv
 CiRT_SW_peptides_for_skyline.xlsx
 CiRT_SW.irtdb