Evidence map›Paper›PMID 39074273›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Fragment correlation mass spectrometry: Determining the structures of biopolymers in a complex mixture without isolating individual components.

Yangjie Li, Guy Cavet, Richard N Zare, Taran Driver

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yangjie LiDepartment of Chemistry, Stanford University, Stanford, CA 94305.ORCID 0000-0002-2391-4409
Guy CavetFlatiron Bio, Palo Alto, CA 94301.
Richard N ZareDepartment of Chemistry, Stanford University, Stanford, CA 94305.ORCID 0000-0001-5266-4253
Taran DriverStanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, CA 94025.ORCID 0000-0002-3761-6883

Funding

DOD | USAF | AMC | Air Force Office of Scientific Research (AFOSR) AFOSR FA9550-21-1-0170
6 · The paper itself

Abstract

Fragment correlation mass spectrometry correlates ion pairs generated from the same fragmentation pathway, achieved by covariance mapping of tandem mass spectra generated with an unmodified linear ion trap without preseparation. We enable the identification of different precursors at different charge states in a complex mixture from a large isolation window, empowering an analytical approach for data-independent acquisition. The method resolves and matches isobaric fragments, internal ions, and disulfide bond fragments. We suggest that this method represents a major advance for analyzing structures of biopolymers in mixtures.

Indexed as

covariance mappingdata-independent acquisitionfragment correlationproteomicstandem mass spectrometry

Identifiers

PMID39074273
PMCPMC11317569

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.