guide
Targeted MRM versus discovery runs
When to screen with a discovery run and when to confirm with targeted MRM: peptide choice, transitions, a matrix blank and a calibration or labelled standard.
- Author
- EVRINTH Editorial Team
- Published
- 8 October 2026
- Updated
- 8 October 2026
- Reading time
- 8 min

Discovery runs name what is in the mixture. A targeted multiple-reaction-monitoring run, usually called MRM or SRM, measures peptides you have already decided to trust. The useful order is screen first and confirm second. Building a transition list for a protein nobody has shown to be present is possible, and it is a poor way to spend a calibration curve. The discovery logic is bottom-up proteomics in plain language. The digest that has to yield the watched peptide is preparing peptides for mass spectrometry.
Discovery names, targeted watches
A data-dependent or data-independent discovery method fragments peptides across a wide mass range and then asks a database which sequences fit. The result is a list with a false-discovery rate attached to the list. You learn candidates, including ones you did not expect, and you pay in missing values and in depth limits.
MRM on a triple quadrupole watches chosen pairs: a precursor mass and a fragment mass, called a transition. The instrument spends its time on that short list. Selected reaction monitoring is the same idea under the older name. Parallel reaction monitoring, PRM, is the related class on a high-resolution instrument: you still choose the precursors, and you record many fragments at once. PRM is not a discovery run. The peptide list existed before the queue started.
Because the list is closed, a decoy search is not the error model. A wrong fragment, a peptide that is not unique, or a matrix ion that happens to share the transition will look like a peak. Confidence is chromatographic and chemical: the traces co-elute, the fragment ratios match a standard, the retention time agrees, and a matrix blank is quiet.
Peptide, transitions, time and a standard
You need four things before the assay is honest. A stable peptide, meaning one the digest reliably makes and the tube does not ruin. A transition list. A retention time. And, if the sentence you want is quantitative in a calibrated sense, a calibration series or a labelled internal-standard class.
Choose a proteotypic peptide: fully tryptic if the digest is tryptic, unique in the database you will cite, and preferably free of methionine if oxidation would split the signal, or else monitored in both forms on purpose. Ragged ends and missed-cleavage variants scatter the signal. PeptideAtlas can show whether a peptide has been observed by others. UniProt is where you check that the sequence is unique to the accession you mean. Uniqueness in a different database version is not uniqueness in yours.
Transitions are instrument-specific. A triple quadrupole needs enough dwell time on each trace to describe the peak, and the peak must still be sampled across its width. Those times belong to the method file and to the manufacturer's guidance for that model. Do not copy a dwell table from a paper that watched four peptides into a method that watches forty. Retention time comes from a pure standard or from the discovery chromatogram on a matched column and gradient. A window that is too wide invites interference. A window that is too narrow misses the peak when the column ages.
Labelled internal standards are peptides with heavy amino acids, spiked before the step you need to control. They correct volume and ionisation for that sequence. They do not correct a peptide that was never produced because the digest failed. A calibration curve in buffer is weaker than a curve in the real matrix. NIST publishes reference-material thinking for measurement science. A research assay should say what your calibrant is traceable to in plain language, even when no formal reference material exists for that peptide. "We spiked a synthetic peptide of stated purity" is a clearer sentence than a vague standard.
A blank that fails, and what you do next
Run the matrix blank before the precious samples. The blank is the same biological background without the analyte, or the closest process blank you can make. If a transition lights up, retire it or change the fragment. Do not subtract a noisy blank and keep the transition for a low-abundance peptide.
If the standard in buffer works and the same standard spiked into matrix vanishes, the matrix is suppressing ionisation or shifting retention. Dilute, change cleanup, or move the gradient. protocols.io is a place laboratories record those cleanup variants. Follow the protocol you validated, not a neighbouring one.
If discovery saw the peptide and the targeted method does not, compare cysteine chemistry, enzyme and gradient length. A discovery alkylation that the targeted digest skipped changes the precursor mass. The transitions are then aimed at a peptide you did not make.
If all transitions co-elute except one, drop the discordant fragment. It is the interference. Keep at least the number of agreeing traces your assay plan required. An assay that quietly falls from five transitions to one is a different assay.
| Question | Discovery run | Targeted MRM or PRM |
|---|---|---|
| What you get | Candidate proteins and peptides from a database search | Measurements for a peptide list chosen in advance |
| What you need first | A database, a digest, an acquisition method | A trusted peptide, transitions, a retention time |
| Error model | List-level false discovery rate from decoys | Wrong transition, interference, retention shift |
| Missing names | The sampler may never have fragmented them | A name off the list is invisible by design |
| Quantitative claim | Possible with a designed label-free or labelled study | Relative, or calibrated if a curve or labelled standard is real |
| Best first use | The question is still what changed or what bound | The question is whether this peptide is present and how it compares |
| Failure that wastes the queue | A detergent hump searched as if it were peptides | A curve built on a transition the blank already contains |
Interference and a wrong transition
The failure mode that looks most like success is a single smooth peak at roughly the expected time, produced by the matrix. The traces do not agree with each other, or they agree with the blank. Retire the transition. Adding more samples will not make the interference become the analyte.
A wrong peptide is the other quiet failure. The transitions are beautiful and the sequence is shared by two proteins, or it belongs to a contaminant that shares a stretch with your protein. Uniqueness is a database fact. Check it again when you change taxon or add isoforms. A heavy-labelled standard of the intended sequence co-elutes with the light peptide and supports identity. It does not prove the light signal is free of an overlapping matrix ion unless the fragment ratios still match.
Discovery false-discovery rates do not transfer. A peptide that passed a one-percent FDR in one search can still be a poor MRM target if it is short, shared, or sits in a dirty part of the gradient. Selection is a new experiment.
Research limits of a targeted number
An MRM peak is a research measurement under the assay you described. It is not a clinical concentration and not a diagnosis. If the matrix is human material, identifiers and ethics sit with your institution. Biosafety of any infectious lysate sits there too. Do not describe a research transition list as a cleared assay. Reference materials and formal measurement traceability, where they exist, are a different claim from a spiked synthetic peptide. Say which one you have.
Cold-chain handoff for a labelled peptide
Labelled peptides and dried digests are small amounts in a large story. A shipment that warmed in transit, or a vial that sat in a humid receiving room with a loose cap, can oxidise, adsorb or simply be wet. Record the temperature class on dispatch and on receipt, and run the standard before you run the cohort. If the standard's own transitions have collapsed, the samples cannot be calibrated against it. In a building where freezers share unstable power, a labelled stock needs a freezer history the same way a sample does. A curve from a degraded standard is a precise record of the degradation.
Whether the peptide list already exists
The enquiry that can be answered is specific. Do you already have peptides from a discovery analysis, with sequences and a database version? Do you need presence, a relative comparison, or a calibrated estimate? What is the matrix, and which labelled-standard class are you prepared to use? A list that does not yet exist means the next conversation is still a discovery design.
Use the shotgun discovery proteomics reference when the screen has not been done, the protein identification by LC-MS/MS reference when the need is still naming, and the differential abundance reference when the confirmation serves a contrast. Send the peptide list, or say plainly that it does not exist yet, with the quote request. The pages are references for that discussion. They do not mean a targeted queue is already running.
Build a targeted check from a peptide you already trust
- 01Pick the peptideChoose a fully cleaved peptide you already trust from a discovery run or from a sequence you expressed. Prefer a peptide that avoids ragged ends and that stays chemically quiet in the matrix you will measure.
- 02Check uniqueness in the databaseSearch that peptide against the same database version you will cite. A sequence shared by a protein family cannot carry a single-protein claim even if the transitions look clean.
- 03Build the transitionsSelect the precursor charge and the fragment ions the instrument class can monitor, and set a retention-time window from a standard or from the discovery chromatogram. Follow the instrument method for dwell or injection timing.
- 04Run a matrix blank, then a spike or a curveInject the matrix without the analyte, then a spiked sample or a calibration series. A peak in the blank retires that transition before any sample is interpreted. A quantitative claim needs the curve or a labelled internal standard class.
Questions from the bench
Does a targeted MRM assay use a decoy false-discovery rate?
Not in the way a discovery search does. You already chose the peptides, so decoys are not scoring an open database. False confidence comes from a wrong transition, a shifted retention time, or an interference that shares the traces.
When is parallel reaction monitoring the closer cousin?
Parallel reaction monitoring records a high-resolution fragment spectrum of chosen precursors rather than a handful of fixed traces. It is still targeted. You still need a peptide list, a retention time and a rule for interference.
Can I quantify without a labelled peptide?
You can compare samples if the design and the normalisation are stated, and the claim stays relative. A concentration-style claim needs a calibration or a labelled internal standard class, prepared as the assay protocol describes.
Should discovery and targeted work share one digest protocol?
The digest has to produce the peptide you intend to watch. If discovery used a different enzyme or a different cysteine chemistry, the targeted peptide may not exist in the new tube. Match the chemistry and say so.
References
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