000910685 001__ 910685
000910685 005__ 20230228121558.0
000910685 0247_ $$2doi$$a10.1016/j.dib.2022.108435
000910685 0247_ $$2Handle$$a2128/33804
000910685 0247_ $$2pmid$$a35845101
000910685 0247_ $$2WOS$$aWOS:000828066500003
000910685 037__ $$aFZJ-2022-04057
000910685 082__ $$a570
000910685 1001_ $$0P:(DE-Juel1)192371$$aUszkoreit, Julian$$b0$$eCorresponding author$$ufzj
000910685 245__ $$aDataset containing physiological amounts of spike-in proteins into murine C2C12 background as a ground truth quantitative LC-MS/MS reference
000910685 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2022
000910685 3367_ $$2DRIVER$$aarticle
000910685 3367_ $$2DataCite$$aOutput Types/Journal article
000910685 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1675058409_21129
000910685 3367_ $$2BibTeX$$aARTICLE
000910685 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000910685 3367_ $$00$$2EndNote$$aJournal Article
000910685 520__ $$aIn this article, we present a data dependent acquisition (DDA) dataset which was generated as a reference and ground truth quantitative dataset. While initially used to compare samples measured with DDA and data independent acquisition (DIA) (Barkovits et al., 2020), the presented dataset holds potential value as a benchmark reference for any workflows working on DDA data. The entire dataset consists of 15 LC-MS/MS measurements composed of five distinct spike-in-states, each with three replicates. To generate the data set, a C2C12 (immortalized mouse myoblast) cell lysate was used as a complex background for five different states which were simulated by spiking 13 defined proteins at different concentrations. For this purpose, the cell lysate was used in a constant amount of 20 µg for all samples and different amounts of the 13 selected proteins ranging from 0.1 to 10 pmol were added, reflecting physiological amounts of proteins. Afterwards, all samples were tryptically digested using the same method. From each sample 200 ng tryptic peptides were measured in triplicates on a Q Exactive HF (Thermo Fisher Scientific). The mass range for MS1 was set to 350–1400 m/z with a resolution of 60,000 at 200 m/z. HCD fragmentation of the Top10 abundant precursor ions was performed at 27% NCE. The fragment analysis (MS2) was performed with a resolution of 30,000 at 200 m/z.
000910685 536__ $$0G:(DE-HGF)POF4-899$$a899 - ohne Topic (POF4-899)$$cPOF4-899$$fPOF IV$$x0
000910685 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000910685 7001_ $$0P:(DE-HGF)0$$aBarkovits, Katalin$$b1
000910685 7001_ $$0P:(DE-HGF)0$$aPacharra, Sandra$$b2
000910685 7001_ $$0P:(DE-HGF)0$$aPfeiffer, Kathy$$b3
000910685 7001_ $$0P:(DE-HGF)0$$aSteinbach, Simone$$b4
000910685 7001_ $$0P:(DE-HGF)0$$aMarcus, Katrin$$b5
000910685 7001_ $$00000-0003-2687-7444$$aEisenacher, Martin$$b6
000910685 773__ $$0PERI:(DE-600)2786545-9$$a10.1016/j.dib.2022.108435$$gVol. 43, p. 108435 -$$p108435 -$$tData in Brief$$v43$$x2352-3409$$y2022
000910685 8564_ $$uhttps://juser.fz-juelich.de/record/910685/files/1-s2.0-S2352340922006321-main.pdf$$yOpenAccess
000910685 909CO $$ooai:juser.fz-juelich.de:910685$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000910685 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)192371$$aForschungszentrum Jülich$$b0$$kFZJ
000910685 9131_ $$0G:(DE-HGF)POF4-899$$1G:(DE-HGF)POF4-890$$2G:(DE-HGF)POF4-800$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bProgrammungebundene Forschung$$lohne Programm$$vohne Topic$$x0
000910685 9141_ $$y2022
000910685 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2020-08-31
000910685 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000910685 915__ $$0StatID:(DE-HGF)0112$$2StatID$$aWoS$$bEmerging Sources Citation Index$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000910685 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Peer review$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2020-08-31
000910685 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-08-31
000910685 9201_ $$0I:(DE-Juel1)IBG-5-20220217$$kIBG-5$$lComputergestütze Metagenomik$$x0
000910685 9801_ $$aFullTexts
000910685 980__ $$ajournal
000910685 980__ $$aVDB
000910685 980__ $$aUNRESTRICTED
000910685 980__ $$aI:(DE-Juel1)IBG-5-20220217