Evidence map›Paper›PMID 38353725›Full record

ArticleMolecular omics2024

Open-tubular trap columns: towards simple and robust liquid chromatography separations for single-cell proteomics.

Kei G I Webber, Siqi Huang, Thy Truong, Jacob L Heninger, Michal Gregus, Alexander R Ivanov, Ryan T Kelly

Open access · greenAbstract read
In one paragraph

Article in Molecular omics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
  5. 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

7 authors at 2 institutions in 2 countries.

Kei G I WebberBrigham Young University, Department of Chemistry and Biochemistry, Provo, Utah, 84602, USA. ryan.kelly@byu.edu.
Siqi HuangBrigham Young University, Department of Chemistry and Biochemistry, Provo, Utah, 84602, USA. ryan.kelly@byu.edu.
Thy TruongBrigham Young University, Department of Chemistry and Biochemistry, Provo, Utah, 84602, USA. ryan.kelly@byu.edu.
Jacob L HeningerBrigham Young University, Department of Chemistry and Biochemistry, Provo, Utah, 84602, USA. ryan.kelly@byu.edu.
Michal GregusNortheastern University, Barnett Institute of Biological and Chemical Analysis, Department of Chemistry and Chemical Biology, College of Science, Boston, MA 02115, USA.ORCID http://orcid.org/0000-0003-3815-1448
Alexander R IvanovNortheastern University, Barnett Institute of Biological and Chemical Analysis, Department of Chemistry and Chemical Biology, College of Science, Boston, MA 02115, USA.ORCID http://orcid.org/0000-0002-4691-8488
Ryan T KellyBrigham Young University, Department of Chemistry and Biochemistry, Provo, Utah, 84602, USA. ryan.kelly@byu.edu.ORCID http://orcid.org/0000-0002-3339-4443
Brigham Young University · USNortheastern University · US

Funding

Mayo Clinic Center for Clinical ProteomicsU01CA271410 · NCI · MAYO CLINIC ROCHESTER · PI Rafael Fonseca, AKHILESH PANDEY · 2022 to 2026
$5.3M
Effect of methodological and biological variability on molecular profiling of extracellular vesicles in cancer detectionR01CA218500 · NCI · NORTHEASTERN UNIVERSITY · PI GHIRAN, IONITA CALIN, IVANOV, ALEXANDER R. · 2018 to 2022
$4.0M
Robust ultra-high sensitivity proteomic technologies for limited samplesR35GM136421 · NIGMS · NORTHEASTERN UNIVERSITY · PI Alexander R. Ivanov · 2020 to 2026
$3.4M
Advanced Sample Preparation, Separation and Multiplexed Analysis for In-Depth Proteome Profiling of >1000 Single Cells Per DayR01CA279074 · NCI · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2023 to 2025
$1.6M
The Functional Analysis of the Coactivator CARM1R01GM126421 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BEDFORD, MARK T. · 2018 to 2021
$1.4M
In-depth and label-free proteome profiling of hundreds of single cells per dayR21CA272326 · NCI · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2022 to 2024
$529k
NCI NIH HHS R01 CA218500NCI NIH HHS R01 CA279074NCI NIH HHS R21 CA272326NCI NIH HHS U01 CA271410NIGMS NIH HHS R01 GM126421NIGMS NIH HHS R35 GM136421
6 · The paper itself

Abstract

Nanoflow liquid chromatography-mass spectrometry is key to enabling in-depth proteome profiling of trace samples, including single cells, but these separations can lack robustness due to the use of narrow-bore columns that are susceptible to clogging. In the case of single-cell proteomics, offline cleanup steps are generally omitted to avoid losses to additional surfaces, and online solid-phase extraction/trap columns frequently provide the only opportunity to remove salts and insoluble debris before the sample is introduced to the analytical column. Trap columns are traditionally short, packed columns used to load and concentrate analytes at flow rates greater than those employed in analytical columns, and since these first encounter the uncleaned sample mixture, trap columns are also susceptible to clogging. We hypothesized that clogging could be avoided by using large-bore porous layer open tubular trap columns (PLOTrap). The low back pressure ensured that the PLOTraps could also serve as the sample loop, thus allowing sample cleanup and injection with a single 6-port valve. We found that PLOTraps could effectively remove debris to avoid column clogging. We also evaluated multiple stationary phases and PLOTrap diameters to optimize performance in terms of peak widths and sample loading capacities. Optimized PLOTraps were compared to conventional packed trap columns operated in forward and backflush modes, and were found to have similar chromatographic performance of backflushed traps while providing improved debris removal for robust analysis of trace samples.

Indexed as

Liquid Chromatography-Mass SpectrometryProteomicsChromatography, Liquid

Identifiers

PMID38353725
PMCPMC10963139
OpenAlexW4391239707

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.