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Archived polyacrylamide gels as a resource for proteome characterization by mass spectrometry

2001· article· en· W2091387465 on OpenAlexaff
Anna Shevchenko, Alexander Loboda, Werner Ens, Burkhart Schraven, Kenneth G. Standing

Bibliographic record

VenueElectrophoresis · 2001
Typearticle
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsUniversity of ManitobaSciex (Canada)
FundersNational Institute of General Medical Sciences
KeywordsProteomeMass spectrometryChemistryProtein mass spectrometryChromatographyTandem mass spectrometryBottom-up proteomicsMatrix-assisted laser desorption/ionizationProteomicsPeptidePolyacrylamide gel electrophoresisGel electrophoresisTwo-dimensional gel electrophoresisTandem mass tagDesorptionBiochemistryQuantitative proteomics

Abstract

fetched live from OpenAlex

Mass spectrometry was applied to identify protein spots excised from an archived two-dimensional polyacrylamide gel that had been dried and stored for eight years at room temperature. All proteins were successfully identified. Detailed characterization of protein digests by matrix-assisted laser desorption/ionization (MALDI) peptide mapping, nanoelectrospray tandem mass spectrometry and MALDI-quadrupole time-of-flight mass spectrometry revealed no evidence of protein degradation or modifications that could hamper identification of proteins in a sequence database. The experiment with a model protein demonstrated that the pattern of tryptic peptides and the yield of individual peptides were not noticeably changed in the in-gel digest of the archived protein spot compared to the digest of the spot excised from a fresh gel. Thus, the characterization of "archived proteomes" has the potential to advance proteomic research without repeating "wet" biochemistry experiments, that had been perfected in the laboratory years ago.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.240
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations77
Published2001
Admission routes1
Has abstractyes

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