Dataset Information
DIA Spike-in SILAC Revisions; additional submission including single-cell like amounts
Ontology highlight
ABSTRACT:
INSTRUMENT(S): timsTOF Pro 2, Orbitrap Exploris 480
ORGANISM(S): Homo Sapiens (human) Escherichia Coli
TISSUE(S): Cell Culture
DISEASE(S): Acute Leukemia
SUBMITTER: 
Maximilian Gerwien
LAB HEAD: Matthias Selbach
PROVIDER: PXD054343 | Pride | 2024-10-14
REPOSITORIES: Pride
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| 1_SC_LF_report.tsv | Tabular | |||
| 20230125_uniprot_human_reference_cont_combined.fasta | Fasta | |||
| 20230127_uniprot_human_ecoli_ref_cont_speciesInfo.fasta | Fasta | |||
| 2_1_SC_SILAC_20x_report.tsv | Tabular | |||
| 2_2_SC_SILAC_5x_report.tsv | Tabular |
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Publications
Combining Data Independent Acquisition With Spike-In SILAC (DIA-SiS) Improves Proteome Coverage and Quantification.
Molecular & cellular proteomics : MCP 20240911 10
Data-independent acquisition (DIA) is increasingly preferred over data-dependent acquisition due to its higher throughput and fewer missing values. Whereas data-dependent acquisition often uses stable isotope labeling to improve quantification, DIA mostly relies on label-free approaches. Efforts to integrate DIA with isotope labeling include chemical methods like mass differential tags for relative and absolute quantification and dimethyl labeling, which, while effective, complicate sample prepa ...[more]
