Evidence map›Paper›PMID 34967612›Full record

ReviewAnalytical chemistry2022

Quantitative Accuracy and Precision in Multiplexed Single-Cell Proteomics.

Claudia Ctortecka, Karel Stejskal, Gabriela Krššáková, Sasha Mendjan, Karl Mechtler

Open access · hybridAbstract readReview
In one paragraph

Review in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.0field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 53 citations in OpenAlex.

  1. Mass spectrometry proteomics for studying mitostasis.Protein science : a publication of the Protein Society · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Mass Spectrometry-based Solutions for Single-cell Proteomics.Genomics, proteomics & bioinformatics · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Analytical chemistry · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Claudia CtorteckaResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Campus Vienna Biocenter 1, 1030 Vienna, Austria.ORCID 0000-0002-6886-8936
Karel StejskalResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Campus Vienna Biocenter 1, 1030 Vienna, Austria.
Gabriela KrššákováResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Campus Vienna Biocenter 1, 1030 Vienna, Austria.
Sasha MendjanInstitute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria.
Karl MechtlerResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Campus Vienna Biocenter 1, 1030 Vienna, Austria.ORCID 0000-0002-3392-9946
Institute of Molecular Biotechnology · ATResearch Institute of Molecular Pathology · AT

Funding

Austrian Science Fund FWF I 3686
6 · The paper itself

Abstract

Single-cell proteomics workflows have considerably improved in sensitivity and reproducibility to characterize as-yet unknown biological phenomena. With the emergence of multiplexed single-cell proteomics, studies increasingly present single-cell measurements in conjunction with an abundant congruent carrier to improve the precursor selection and enhance identifications. While these extreme carrier spikes are often >100× more abundant than the investigated samples, the total ion current undoubtably increases but the quantitative accuracy possibly is affected. We here focus on narrowly titrated carrier spikes (i.e., <20×) and assess their elimination for a comparable sensitivity with superior accuracy. We find that subtle changes in the carrier ratio can severely impact the measurement variability and describe alternative multiplexing strategies to evaluate data quality. Lastly, we demonstrate elevated replicate overlap while preserving acquisition throughput at an improved quantitative accuracy with DIA-TMT and discuss optimized experimental designs for multiplexed proteomics of trace samples. This comprehensive benchmarking gives an overview of currently available techniques and guides the conceptualization of the optimal single-cell proteomics experiment.

Indexed as

ProteomeProteomicsReproducibility of ResultsWorkflowProteome

Identifiers

PMID34967612
PMCPMC8829824
OpenAlexW4220910332

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.