Protein Concentration and Enzyme Digestion on Microbeads for MALDI-TOF Peptide Mass Mapping of Proteins from Dilute Solutions
Bibliographic record
Abstract
A method for generating peptide mass maps from dilute protein samples is presented. The method involves the concentration of proteins from aqueous solution by adsorption onto reversed-phase polymeric microbeads. These beads are then washed extensively to remove contaminants, after which the bound proteins are digested with trypsin. Analysis of the digestion products is performed by MALDI-TOF mass spectrometry following direct deposition of the beads on a MALDI target, along with the matrix solution. The procedure is demonstrated using solutions of cytochrome c, lysozyme, and bovine serum albumin. The results of these digests are compared to trypsin digestions of the protein samples without sample preconcentration. Comparative results are also presented for protein solutions contaminated with 2 M NaCl, 2 M urea, or sodium dodecyl sulfate at concentrations up to 0.02%. These results reveal that, with the microbead preconcentration procedure, peptide mass maps can routinely be generated from highly contaminated samples with a protein concentration of only 100 nM.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".