Constarium
← Search

Archive · dataset · 2018

Single-molecule protein sequencing through fingerprinting: computational assessment

Listed in DataCite

Proteins are vital in all biological systems as they constitute the main structural and functional components of cells.

Description

Recent advances in mass spectrometry have brought the promise of complete proteomics by helping draft the human proteome. Yet, this commonly used protein sequencing technique has fundamental limitations in sensitivity.

Here we propose a method for single-molecule (SM) protein sequencing. A major challenge lies in the fact that proteins are composed of 20 different amino acids, which demands 20 molecular reporters. We computationally demonstrate that it suffices to measure only two types of amino acids to identify proteins and suggest an experimental scheme using SM fluorescence.

Read the rest (1 more)

When achieved, this highly sensitive approach will result in a paradigm shift in proteomics, with major impact in the biological and medical sciences.

Links

Topics

Stated by source
Basic medicine
Inferred from text
Sequencing 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
DataCite10.4121/uuid:08a078fc-9d4c-44d1-88c9-9cb412b83a4613 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].fos:basic-medicinesource · DataCiteconnector:datacite@1.0.0
concepts[modality].local:modality:mass-spectrometrymapping · DataCitevocabulary-mapper@1.0.0keywords['proteomics']
concepts[modality].local:modality:sequencingenrichment · DataCitekeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · DataCiteconnector:datacite@1.0.0/data/attributes/descriptions
license_textsource · DataCiteconnector:datacite@1.0.0
publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title
version_labelsource · DataCiteconnector:datacite@1.0.0