Evidence map›Paper›PMID 36044770›Full record

ArticleAnalytical chemistry2022

Parallelization with Dual-Trap Single-Column Configuration Maximizes Throughput of Proteomic Analysis.

Simion Kreimer, Ali Haghani, Aleksandra Binek, Alisse Hauspurg, Saeed Seyedmohammad, Alejandro Rivas, Amanda Momenzadeh, Jesse G Meyer, Koen Raedschelders, Jennifer E Van Eyk

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. SynchroSep-MS: Parallel LC Separations for Multiplexed Proteomics.Journal of the American Society for Mass Spectrometry · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Proteomics of the heart.Physiological reviews · 2024
    Review
  15. Article
  16. Review
  17. What's new in single-cell proteomics.Current opinion in biotechnology · 2024
    Review
  18. Article
  19. Article
  20. A Complete Workflow for High Throughput Human Single Skeletal Muscle Fiber Proteomics.Journal of the American Society for Mass Spectrometry · 2023
    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

10 authors at 2 institutions in 1 country.

Simion KreimerCedars-Sinai Medical Center, 121 N San Vicente, Beverly Hills, California 90211, United States.ORCID 0000-0001-6627-3771
Ali HaghaniCedars-Sinai Medical Center, 121 N San Vicente, Beverly Hills, California 90211, United States.
Aleksandra BinekCedars-Sinai Medical Center, 121 N San Vicente, Beverly Hills, California 90211, United States.
Alisse HauspurgUniversity of Pittsburgh School of Medicine, 300 Halket Street, Pittsburgh, Pennsylvania 15213, United States.
Saeed SeyedmohammadCedars-Sinai Medical Center, 121 N San Vicente, Beverly Hills, California 90211, United States.
Alejandro RivasCedars-Sinai Medical Center, 121 N San Vicente, Beverly Hills, California 90211, United States.
Amanda MomenzadehCedars-Sinai Medical Center, 121 N San Vicente, Beverly Hills, California 90211, United States.ORCID 0000-0002-8614-0690
Jesse G MeyerCedars-Sinai Medical Center, 121 N San Vicente, Beverly Hills, California 90211, United States.ORCID 0000-0003-2753-3926
Koen RaedscheldersCedars-Sinai Medical Center, 121 N San Vicente, Beverly Hills, California 90211, United States.ORCID 0000-0003-0835-4762
Jennifer E Van EykCedars-Sinai Medical Center, 121 N San Vicente, Beverly Hills, California 90211, United States.ORCID 0000-0001-9050-148X
Cedars-Sinai Medical Center · USUniversity of Pittsburgh · US

Funding

Genomic and Proteomic Architecture of AtherosclerosisR01HL111362 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HERRINGTON, DAVID MCLEOD · 2012 to 2021
$17.2M
Building Research Careers in Women's HealthK12HD043441 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI SADOVSKY, YOEL · 2002 to 2023
$10.1M
Exosome Therapeutics to Dissect HFpEF MechanismsR01HL155346 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI MARBAN, EDUARDO, VAN EYK, JENNIFER E · 2021 to 2024
$3.3M
Democratizing Multi-Omics to Expedite Discovery of Hidden Metabolic PathwaysR35GM142502 · NIGMS · MEDICAL COLLEGE OF WISCONSIN · PI MEYER, JESSE · 2021 to 2025
$2.2M
NHLBI NIH HHS R01 HL111362NHLBI NIH HHS R01 HL155346NICHD NIH HHS K12 HD043441NIGMS NIH HHS R35 GM142502
6 · The paper itself

Abstract

Proteomic analysis on the scale that captures population and biological heterogeneity over hundreds to thousands of samples requires rapid mass spectrometry methods, which maximize instrument utilization (IU) and proteome coverage while maintaining precise and reproducible quantification. To achieve this, a short liquid chromatography gradient paired to rapid mass spectrometry data acquisition can be used to reproducibly quantify a moderate set of analytes. High-throughput profiling at a limited depth is becoming an increasingly utilized strategy for tackling large sample sets but the time spent on loading the sample, flushing the column(s), and re-equilibrating the system reduces the ratio of meaningful data acquired to total operation time and IU. The dual-trap single-column configuration (DTSC) presented here maximizes IU in rapid analysis (15 min per sample) of blood and cell lysates by parallelizing trap column cleaning and sample loading and desalting with the analysis of the previous sample. We achieved 90% IU in low microflow (9.5 μL/min) analysis of blood while reproducibly quantifying 300-400 proteins and over 6000 precursor ions. The same IU was achieved for cell lysates and over 4000 proteins (3000 at CV below 20%) and 40,000 precursor ions were quantified at a rate of 15 min/sample. Thus, DTSC enables high-throughput epidemiological blood-based biomarker cohort studies and cell-based perturbation screening.

Indexed as

ProteomeProteomicsBiomarkersChromatography, LiquidHumansMass SpectrometryBiomarkersProteome

Identifiers

PMID36044770
PMCPMC9900495
OpenAlexW4293842579

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.