Evidence map›Paper›PMID 40586374›Full record

ArticleAnalytical chemistry2025

Top-Down Proteomic Analysis of Limited Samples Using Porous Layer Open Tubular Columns and High-Field Asymmetric Ion Mobility Spectrometry Coupled to Mass Spectrometry.

Michal Greguš, Yunfan Gao, Kendall R Johnson, Somak Ray, Anne-Lise Marie, Alexander R Ivanov

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Michal GregušBarnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.ORCID 0000-0003-3815-1448
Yunfan GaoBarnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.ORCID 0000-0002-2132-582X
Kendall R JohnsonBarnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.ORCID 0000-0002-4687-7890
Somak RayBarnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.
Anne-Lise MarieBarnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.ORCID 0000-0002-7461-1838
Alexander R IvanovBarnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.ORCID 0000-0002-4691-8488

Funding

Effect of methodological and biological variability on molecular profiling of extracellular vesicles in cancer detectionR01CA218500 · NCI · NORTHEASTERN UNIVERSITY · PI DEL MONTE, FEDERICA, GHIRAN, IONITA CALIN · 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
Next-generation nanoflow LC column technology to enable high sensitivity proteomics of limited samplesR41GM156145 · NIGMS · MIXEDLCMEDIA LLC · PI IVANOV, ALEXANDER R · 2024 to 2024
$307k
NCI NIH HHS R01 CA218500NIGMS NIH HHS R35 GM136421NIGMS NIH HHS R41 GM156145
6 · The paper itself

Abstract

Despite significant recent progress in the field of mass spectrometry (MS)-based top-down proteomics (TDP), the analysis of limited samples is still a major challenge. Here, we explored the potential of ultralow flow (ULF) liquid chromatography (LC) porous layer open tubular (PLOT) columns interfaced with MS via high-field asymmetric waveform ion mobility spectrometry (FAIMS) to enable high-sensitivity TDP analysis of small populations of mammalian cells. The developed robust and easy-to-use platform delivered high reproducibility of retention times (RSD < 0.4%) and high separation performance for intact proteins (∼14-s peak full width at half-maximum and peak capacity of >125 for a 60 min effective gradient). The FAIMS-based experiments resulted in a ∼2-fold increase in identifications compared to the control experiments for ∼200 HeLa cell aliquots, i.e., 819 vs 454 proteins and 2645 vs 1305 proteoforms, respectively. The pilot ULF LC-MS analysis of six HeLa cells yielded 29 ± 3 proteins and 38 ± 2 proteoforms, on average, and a total of 44 proteins and 68 proteoforms. Data revealed a high degree of acetylation, methylation, phosphorylation, glycosylation, lactylation, and other relevant post-translational modifications. Notably, the presented protein identification results for limited samples are comparable to those of recent large-scale TDP studies of bulk samples, demonstrating the potential to enable informative single-cell TDP profiling.

Indexed as

Ion Mobility SpectrometryProteinsProteomicsChromatography, LiquidHeLa CellsHumansMass SpectrometryPorosityProteins

Identifiers

PMID40586374
PMCPMC12268831

What OpenQuestion holds

Textmetadata
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.