Proteomics

Dataset Information

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: Robust and reproducible large-scale label-free deep quantitative profiling of the MOLM-14 surfaceome using three mass spectrometry platforms over multiple years


ABSTRACT: Surface proteins are one of the most important and common matrices for clinical chemistry and proteomic analyses. With the rapid developments in mass spectrometry (MS)-based proteomics methods, label-free quantitative proteomics has become an increasingly popular tool for profiling global protein abundances. Here, we evaluate the performance of three mass spectrometers, namely Orbitrap Elite (Hybrid Ion Trap-Orbitrap), Q Exactive HF (Hybrid Quadrupole-Orbitrap) and Orbitrap Fusion (Tribrid Quadrupole-Ion Trap-Orbitrap), in label-free semiquantitative analysis of cell surface proteins spanning a four-year period. Sucrose gradient ultracentrifugation was used for surfaceome enrichment, following gel separation for in-depth protein identification. With the established workflow, we identify 2335 cell surface proteins in MOLM-14, a human acute myeloid leukemia cell line, with a high degree of reproducibility across three MS platforms over multiple years.

INSTRUMENT(S): Orbitrap Fusion, Q Exactive HF, LTQ Orbitrap Elite

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Richard Aplenc  

LAB HEAD: Richard Aplenc

PROVIDER: PXD022721 | Pride | 2021-12-30

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
QEHF_20200831_RA100_MOLM14_01.raw Raw
QEHF_20200831_RA100_MOLM14_02.raw Raw
QEHF_20200831_RA100_MOLM14_03.raw Raw
QEHF_20200831_RA100_MOLM14_04.raw Raw
QEHF_20200831_RA100_MOLM14_05.raw Raw
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Publications

Longitudinal Large-Scale Semiquantitative Proteomic Data Stability Across Multiple Instrument Platforms.

Lu Congcong C   Glisovic-Aplenc Tina T   Bernt Kathrin M KM   Nestler Kevin K   Cesare Joseph J   Cao Lusha L   Lee Hyoungjoo H   Fazelinia Hossein H   Chinwalla Asif A   Xu Yang Y   Shestova Olga O   Xing Yi Y   Gill Saar S   Li Mingyao M   Garcia Benjamin B   Aplenc Richard R  

Journal of proteome research 20211020 11


With the rapid developments in mass spectrometry (MS)-based proteomics methods, label-free semiquantitative proteomics has become an increasingly popular tool for profiling global protein abundances in an unbiased manner. However, the reproducibility of these data across time and LC-MS platforms is not well characterized. Here, we evaluate the performance of three LC-MS platforms (Orbitrap Elite, Q Exactive HF, and Orbitrap Fusion) in label-free semiquantitative analysis of cell surface proteins  ...[more]

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