ReviewProteomes2021
Evaluation of the Sensitivity of Proteomics Methods Using the Absolute Copy Number of Proteins in a Single Cell as a Metric.
Review in Proteomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed.
- What Are the Practical Applications of Single-Cell Proteomics?Proteomes · 2026Article
- Backyard Proteomics: A Case Study with the Black Widow Spider.Journal of proteome research · 2025Article
- NT2-derived astrocyte-neuron co-culture reflects physiological relevance and offers research validity.Cellular & molecular biology letters · 2025Article
- Development of a High-Throughput Platform for Quantitation of Histone Modifications on a New QTOF Instrument.Molecular & cellular proteomics : MCP · 2025Article
- AM-DMF-SCP: Integrated Single-Cell Proteomics Analysis on an Active Matrix Digital Microfluidic Chip.JACS Au · 2024Article
- Proteomics-The State of the Field: The Definition and Analysis of Proteomes Should Be Based in Reality, Not Convenience.Proteomes · 2024Article
- Micropillar arrays, wide window acquisition and AI-based data analysis improve comprehensiveness in multiple proteomic applications.Nature communications · 2024Article
- Genomic database furnishes a spontaneous example of a functional Class II glycyl-tRNA synthetase urzyme.bioRxiv : the preprint server for biology · 2024Article
- Quantitative Aspects of the Human Cell Proteome.International journal of molecular sciences · 2023Review
- Insights into protein post-translational modification landscapes of individual human cells by trapped ion mobility time-of-flight mass spectrometry.Nature communications · 2022Article
- The Curious Case of the HepG2 Cell Line: 40 Years of Expertise.International journal of molecular sciences · 2021Review
- Beyond the List: Bioagent-Agnostic Signatures Could Enable a More Flexible and Resilient Biodefense Posture Than an Approach Based on Priority Agent Lists Alone.Pathogens (Basel, Switzerland) · 2021Article
- Analysis of pancreatic extracellular matrix protein post-translational modificationsMolecular omics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proteomic technology has improved at a staggering pace in recent years, with even practitioners challenged to keep up with new methods and hardware. The most common metric used for method performance is the number of peptides and proteins identified. While this metric may be helpful for proteomics researchers shopping for new hardware, this is often not the most biologically relevant metric. Biologists often utilize proteomics in the search for protein regulators that are of a lower relative copy number in the cell. In this review, I re-evaluate untargeted proteomics data using a simple graphical representation of the absolute copy number of proteins present in a single cancer cell as a metric. By comparing single-shot proteomics data to the coverage of the most in-depth proteomic analysis of that cell line acquired to date, we can obtain a rapid metric of method performance. Using a simple copy number metric allows visualization of how proteomics has developed in both sensitivity and overall dynamic range when using both relatively long and short acquisition times. To enable reanalysis beyond what is presented here, two available web applications have been developed for single- and multi-experiment comparisons with reference protein copy number data for multiple cell lines and organisms.
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Registered trials
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.