Similar Datasets
Project description:Most proteogenomic approaches for mapping single amino acid polymorphisms (SAPs) require construction of a sample-specific database containing protein variants predicted from the next-generation sequencing (NGS) data. We present a new strategy for direct SAP detection without relying on NGS data. Among the 348 putative SAP peptides identified in an industrial yeast strain, 85.6% of SAP sites were validated by genomic sequencing.
2018-04-18 | PXD003101 | Pride
Project description:Evaluting HLA loss of heterozygosity, a key immune escape mechanism, using NGS and immunopeptidomics.
2021-11-04 | PXD022323 | Pride
Project description:Mus musculus Etd, embryonic testis differentiation [Source:MGI Symbol;Acc:MGI:1916751], is differentially expressed in 4 experiment(s);
| ENSMUSG00000060967 | ExpressionAtlas
Project description:Mus musculus Etd, embryonic testis differentiation [Source:MGI Symbol;Acc:MGI:1916751], is expressed in 5 baseline experiment(s);
| ENSMUSG00000060967 | ExpressionAtlas
Project description:Danio rerio ngs, notochord granular surface [Source:ZFIN;Acc:ZDB-GENE-080722-29], is differentially expressed in 1 experiment(s);
| ENSDARG00000054321 | ExpressionAtlas
Project description:Capillary zone electrophoresis (CZE)-tandem mass spectrometry (MS/MS) has been recognized as an efficient approach for top-down proteomics recently for its high-capacity separation and highly sensitive detection of proteoforms. However, the commonly used collision-based dissociation methods often cannot provide extensive fragmentation of proteoforms for thorough characterization. Activated ion electron transfer dissociation (AI-ETD), that combines infrared photoactivation concurrent with ETD, has shown better performance for proteoform fragmentation than higher energy-collisional dissociation (HCD) and standard ETD. Here, we present the first application of CZE-AI-ETD on an Orbitrap Fusion Lumos mass spectrometer for large-scale top-down proteomics of Escherichia coli (E. coli) cells. CZE-AI-ETD outperformed CZE-ETD regarding proteoform and protein identifications (IDs). CZE-AI-ETD reached comparable proteoform and protein IDs with CZE-HCD. CZE-AI-ETD tended to generate better expectation values (E-values) of proteoforms than CZE-HCD and CZE-ETD, indicating higher quality of MS/MS spectra from AI-ETD respecting the number of sequence-informative fragment ions generated. CZE-AI-ETD showed great reproducibility regarding the proteoform and protein IDs with relative standard deviations less than 4% and 2% (n=3). Coupling size exclusion chromatography (SEC) to CZE-AI-ETD identified 3028 proteoforms and 387 proteins from E. coli cells with 1% spectrum-level and 5% proteoform-level false discovery rates. The data represents the largest top-down proteomics dataset using the AI-ETD method so far. Single-shot CZE-AI-ETD of one SEC fraction identified 957 proteoforms and 253 proteins. N-terminal truncations, signal peptide cleavage, N-terminal methionine removal and various post-translational modifications including protein N-terminal acetylation, methylation, S-thiolation, disulfide bonds, and lysine succinylation were detected.
2019-06-11 | PXD012247 | Pride