Dataset Information

Multidimensional separation schemes enhance the identification and molecular characterization of low molecular weight proteomes and short open reading frame encoded peptides in top-down proteomics

ABSTRACT: In the present work we developed a sample preparation approach for the combined bottom-up and top-down proteomics analysis of small open reading frame encoded proteins (SEP). Key improvements were made by the application of solid phase extraction (SPE) supported enrichment of LMW proteins, followed by two-dimensional LC-MS top-down analysis encompassing both HCD and EThcD ion activation. Bottom-up experiments were used to support and confirm top-down data interpretation. This strategy allowed for the top-down characterisation 36 proteoforms mapping to 12 SEP of the archaea Methanosarcina mazei, and for the first time the identification of posttranslational modifications in these microproteins.

INSTRUMENT(S): Orbitrap Fusion Lumos, Q Exactive Plus

ORGANISM(S): Methanosarcina Mazei Go1

SUBMITTER: Andreas Tholey

LAB HEAD: Andreas Tholey

PROVIDER: PXD019792 | Pride | 2021-11-02

REPOSITORIES: Pride

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			Action	DRS
	190813_MM_Mmazei_BR1234R2_combined.pdResult	Other
	190927_MM_Mmazei_BR1_3_1.raw	Raw
	190927_MM_Mmazei_BR1_3_2.raw	Raw
	190927_MM_Mmazei_BR1_3_3.raw	Raw
	190927_MM_Mmazei_BR2_2_1.raw	Raw

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Multidimensional separation schemes enhance the identification and molecular characterization of low molecular weight proteomes and short open reading frame-encoded peptides in top-down proteomics.

Cassidy Liam L Helbig Andreas O AO Kaulich Philipp T PT Weidenbach Kathrin K Schmitz Ruth A RA Tholey Andreas A

Journal of proteomics 20200917

Short open reading frame-encoded peptides (SEP) represent a widely undiscovered part of the proteome. The detailed analysis of SEP has, despite inherent limitations such as incomplete sequence coverage, challenges encountered with protein inference, the identification of posttranslational modifications and the assignment of potential N- and C-terminal truncations, predominantly been assessed using bottom-up proteomic workflows. The use of top-down based proteomic workflows is capable of providin ...[more]

PMID: 32949814

Dataset Information

Multidimensional separation schemes enhance the identification and molecular characterization of low molecular weight proteomes and short open reading frame encoded peptides in top-down proteomics

Dataset's files

Publications

Multidimensional separation schemes enhance the identification and molecular characterization of low molecular weight proteomes and short open reading frame-encoded peptides in top-down proteomics.

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