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PXD001695

PXD001695 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA double-barrel LC-MS/MS system to quantify 96 interactomes per day
DescriptionThe field of proteomics has evolved hand-in-hand with technological advances in LC-MS/MS systems, now enabling the analysis of very deep proteomes in a reasonable time. However, most applications do not deal with full cell or tissue proteomes, but rather with restricted sub-proteomes relevant for the research context at hand or resulting from extensive fractionation. At the same time, investigation of many conditions or perturbations puts a strain on measurement capacity. Here we develop a high throughput workflow capable of dealing with large numbers of low or medium complexity samples and specifically aim at the analysis of 96-well plates in a single day (15 min per sample). We combine parallel sample processing with a modified liquid chromatography platform driving two analytical columns in tandem, which are coupled to a quadrupole Orbitrap mass spectrometer (Q Exactive HF). The modified LC platform eliminates idle-time between measurements and the very high sequencing speed of the Q Exactive HF dramatically reduces required measurement time. We apply the pipeline to the yeast chromatin remodeling landscape, and demonstrate quantification of 96 pull-downs of chromatin complexes in about one day. This is achieved with only 500 µg input material, enabling yeast cultivation in a 96-well format. Our system retrieved known complex-members and the high throughput allowed probing with many bait proteins. Even alternative complex compositions were detectable in these very short gradients. Thus, sample throughput, sensitivity and LC/MS-MS duty cycle are improved several-fold compared to established workflows. The pipeline can be extended to different types of interaction studies and to other medium complexity proteomes.
HostingRepositoryPRIDE
AnnounceDate2015-05-07
AnnouncementXMLSubmission_2015-05-07_08:07:15.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMario Oroshi
SpeciesList scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationListNo PTMs are included in the dataset
InstrumentLTQ Orbitrap; Q Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02015-01-19 05:27:19ID requested
12015-05-07 08:07:17announced
Publication List
Hosp F, Scheltema RA, Eberl HC, Kulak NA, Keilhauer EC, Mayr K, Mann M, A Double-Barrel Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) System to Quantify 96 Interactomes per Day. Mol Cell Proteomics, 14(7):2030-41(2015) [pubmed]
Keyword List
curator keyword: Technical
submitter keyword: Saccharomyces cerevisiae
interactomics
chromatography
method development
high throughput analysis
Contact List
Matthias Mann
contact affiliationDepartment of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany
contact emailmmann@biochem.mpg.de
lab head
Mario Oroshi
contact affiliationProteomics
contact emailoroshi@biochem.mpg.de
dataset submitter
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