PXD026204

PXD026204 is an original dataset announced via ProteomeXchange.

Title	Analytical Comparison of absolute quantification strategies to investigate the Insulin signaling pathway in fat cells
Description	Mass spectrometry based targeted proteomics is the most sensitive approach to answer and address specific biological questions in an accurate and quantitative fashion. However, the data analysis design used for such quantification varies in the field leading to discrepancies in the reported values. In this study, different quantification strategies based on calibration curves were evaluated and compared. The best linearity was achieved when creating a calibration curve using the intensity to amount method. However, the best accuracy and coefficient of variation was achieved by ratio to ratio calibration curves. In addition, we also demonstrated how a LLOQ estimation in combination with one-point calibration can be utilized to conduct a less laborious strategy for absolute quantification. Finally, we applied the most accurate method ratio to ratio quantification to analyze very low abundant insulin signaling proteins such as PIK3 (0.34-0.9 fmol/mg), AKT1 (0.33-0.54 fmol/mg) and the Insulin receptor (0.34 -3.98 fmol/mg) and demonstrated that upon pathway perturbation the concentration of key proteins is dynamically adapted.
HostingRepository	PanoramaPublic
AnnounceDate	2022-06-13
AnnouncementXML	Submission_2022-06-13_11:46:34.183.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Chi Nguyen
SpeciesList	scientific name: Mus musculus; NCBI TaxID: 10090;
ModificationList	Carbamidomethyl; Label:13C(6)15N(4); Label:13C(6)15N(2)
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2021-05-21 22:02:34	ID requested
⏵ 1	2022-06-13 11:46:34	announced

Li T, Hentschel A, Ahrends R, Analytical comparison of absolute quantification strategies to investigate the insulin signaling pathway in fat cells. Proteomics, 22(7):e2100136(2022) [pubmed]

submitter keyword: Insulin Signalling Proteins, PRM

Robert Ahrends
contact affiliation	Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. Germany
contact email	robert.ahrends@lipidomics.at
lab head
Chi Nguyen
contact affiliation	Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. Germany
contact email	chi.nguyen@isas.de
dataset submitter

Panorama Public dataset URI