Proteomics

Dataset Information

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Depletion of high molecular mass proteins for the identification of small proteins and small open reading frame encoded peptides in cellular proteomes


ABSTRACT: We present an acetonitrile-based precipitation methodology which depletes the majority of proteins above ca. 15 kDa. Parameters such as depletion mixture composition, pH and temperature, were optimized using a model protein mixture and the method was evaluated in comparison to the established differential solubility method. The approach was applied to the analysis of the low molecular weight proteome of the archaea Methanosarcina mazei by means of LC-MS. The data clearly show a beneficial effect of reduction of complexity, especially in terms of the quality of MS/MS based identification of small proteins. This fast, detergent-free method allowed for, with minimal sample manipulation, the successful identification of several not yet identified short open reading frame encoded peptides in M. mazei.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Methanosarcina Mazei Go1

SUBMITTER: Andreas Tholey  

LAB HEAD: Andreas Tholey

PROVIDER: PXD011996 | Pride | 2022-02-28

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
180417_Mmazei_Full_Proteome_1.raw Raw
180417_Mmazei_Full_Proteome_2.raw Raw
180426_Mmazei_ACN_NaCl_3.raw Raw
180426_Mmazei_Full_Proteome_1.raw Raw
180426_Mmazei_Full_Proteome_2.raw Raw
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