Evidence map›Paper›PMID 37196519›Full record

ArticleJournal of chromatography. A2023

Combining offline high performance liquid chromatography fractionation of peptides and intact proteins to enhance proteome coverage in bottom-up proteomics.

Leena M Patil, David H Parkinson, Nathan R Zuniga, Hsien-Jung L Lin, Bradley C Naylor, John C Price

Open access · greenAbstract read
In one paragraph

Article in Journal of chromatography. A, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Leena M PatilDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah, USA.
David H ParkinsonDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah, USA.
Nathan R ZunigaDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah, USA.
Hsien-Jung L LinDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah, USA.
Bradley C NaylorDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah, USA.
John C PriceDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah, USA. Electronic address: drjohncprice@gmail.com.
Brigham Young University · US

Funding

Biochemical Consequences of Regiospecific Metabolic Bias in the BrainR01AG066874 · NIA · BRIGHAM YOUNG UNIVERSITY · PI PRICE, JOHN C. · 2020 to 2024
$3.0M
NIA NIH HHS R01 AG066874
6 · The paper itself

Abstract

Offline peptide separation (PS) using high-performance liquid chromatography (HPLC) is currently used to enhance liquid chromatography-tandem mass spectrometry (LC-MS/MS) detection of proteins. In search of more effective methods for enhancing MS proteome coverage, we developed a robust method for intact protein separation (IPS), an alternative first-dimension separation technique, and explored additional benefits that it offers. Comparing IPS to the traditional PS method, we found that both enhance detection of unique protein IDs to a similar magnitude, though in diverse ways. IPS was especially effective in serum, which has a small number of extremely high abundance proteins. PS was more effective in tissues with fewer dominating high-abundance proteins and was more effective in enhancing detection of post-translational modifications (PTMs). Combining the IPS and PS methods together (IPS+PS) was especially beneficial, enhancing proteome detection more than either method could independently. The comparison of IPS+PS versus six PS fractionation pools increased total number of proteins IDs by nearly double, while also significantly increasing number of unique peptides detected per protein, percent peptide sequence coverage of each protein, and detection of PTMs. This IPS+PS combined method requires fewer LC-MS/MS runs than current PS methods would need to obtain similar improvements in proteome detection, and it is robust, time- and cost-effective, and generally applicable to various tissue and sample types.

Indexed as

ProteomeProteomicsChromatography, High Pressure LiquidChromatography, LiquidPeptidesTandem Mass SpectrometryPeptidesProteome2D FractionationHPLCIntact proteinsLC-MS/MSProteome enhancement

Identifiers

PMID37196519
PMCPMC10226724
OpenAlexW4367673889

What OpenQuestion holds

Textmetadata
LicenceTDM
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.