Evidence map›Paper›PMID 40903724›Full record

ArticleJournal of proteome research2025

High-Performance Proteomics Using Nano-, Capillary-, and Microflow Chromatographic Separations.

Giorgi Tsiklauri, Runsheng Zheng, Nicole Kabella, Polina Prokofeva, Christopher Pynn, Bernhard Kuster

Abstract read
In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Giorgi TsiklauriSchool of Life Sciences, Technical University of Munich, Emil Erlenmeyer Forum 5, Freising 85354, Germany.
Runsheng ZhengThermo Fisher Scientific, Germering 82110, Germany.ORCID 0000-0002-5433-2540
Nicole KabellaSchool of Life Sciences, Technical University of Munich, Emil Erlenmeyer Forum 5, Freising 85354, Germany.
Polina ProkofevaSchool of Life Sciences, Technical University of Munich, Emil Erlenmeyer Forum 5, Freising 85354, Germany.
Christopher PynnThermo Fisher Scientific, Germering 82110, Germany.
Bernhard KusterSchool of Life Sciences, Technical University of Munich, Emil Erlenmeyer Forum 5, Freising 85354, Germany.ORCID 0000-0002-9094-1677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current applications of mass-spectrometry-based proteomics range from single-cell to body fluid analysis, each presenting very different demands regarding sensitivity or sample throughput. Additionally, the vast molecular complexity of proteomes and the massive dynamic range of protein concentrations in these biological systems require highly performant chromatographic separations in tandem with the high speed and sensitivity afforded by modern mass spectrometers. In this study, we focused on the chromatographic aspect and, more specifically, systematically evaluated proteome analysis performance across a wide range of chromatographic flow rates (0.3-50 μL/min) and associated column diameters using a Vanquish Neo HPLC coupled online to a Q Exactive HF-X mass spectrometer. Serial dilutions of HeLa cell line digests were used for benchmarking, and the total analysis time from injection to injection was intentionally fixed at 60 min (24 samples per day). The three key messages of the study are that (i) all chromatographic flow rates are suitable for high-quality proteome analysis, (ii) capLC (1.5 μL/min) is a very robust, sensitive, and quantitative alternative to nLC for many applications, and (iii) showcased proteome, phosphoproteome, and drug proteome data provide sound empirical guidance for laboratories in selecting appropriate chromatographic flow rates and column diameters for their specific applications.

Indexed as

ProteomeProteomicsChromatography, High Pressure LiquidHeLa CellsHumansNanotechnologyProteomecapillary-flow chromatographykinobeadsmass spectrometryphosphoproteomics

Identifiers

PMID40903724
PMCPMC12501992

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Registered trials

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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.