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Omics · study · 2026

An integrated landscape of mRNA and protein isoforms [PacBio]

Listed in NCBI GEO

Current proteomic methods are not well suited to detect protein isoforms.

Description

On the one hand, standard shotgun (that is, bottom-up) proteomics involves digestion of proteins into peptides. While this approach identifies many proteins, it results in a loss of isoform information.

On the other hand, mass spectrometric analysis of intact proteins (that is, top-down proteomics) distinguishes protein isoforms but only covers a small subset of the proteome. We developed peptide correlation profiling (PepCP) as a method to obtain protein-level information from peptide-centric (that is, bottom-up proteomic) data: First, proteins are fractionated by SDS-PAGE to polypeptides of different length. Second, individual protein fractions are digested into peptides.

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Third, peptides are identified and quantified in all fractions using quantitative mass spectrometry-based proteomics. Finally, peptide abundance profiles across fractions are analysed to obtain protein-level information.

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Life Sciences
Inferred from text
Mass spectrometry 65%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE26157813 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:mass-spectrometryenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title