ReviewScience advances2020
Beyond mass spectrometry, the next step in proteomics.
Review in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.
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.
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
140 citing papers in PubMed.
- Article
- Exopeptidase-assisted nanopore peptide sequence identification.Nature communications · 2026Article
- Single-Molecule Fingerprinting of Unlabeled Full-Length Proteins Using an Aerolysin Nanopore.Journal of the American Chemical Society · 2026Article
- High-Rate Fingerprinting of Protein Isoforms by Quasi-regulated Enzyme-free Transport Through CytK Nanopores.Research square · 2026Article
- A Multiplexed Quantitative Analysis of Germline Single Amino Acid Variants by Targeted Proteomics in Nondepleted Human Plasma.Journal of proteome research · 2026Article
- Transcriptomic and proteomic insights into progressive myoclonus epilepsy type 1.Disease models & mechanisms · 2026Article
- Label-Free Optical Differentiation of Single Diffusing Amino Acids at Picomolar Concentrations.Research square · 2026Article
- Proteoforms as the true units of physiological function.European journal of applied physiology · 2026Review
- bHLH130 mediates gibberellin signaling to regulate tanshinone biosynthesis inActa pharmaceutica Sinica. B · 2026Article
- Molecular Responses to Climate Change: How Warming and Acidification Reshape the Proteome and Phosphoproteome of the Endangered Mira Chub.Ecology and evolution · 2026Article
- Review
- Hybrid Deep Learning Model for EI-MS Spectra Prediction.International journal of molecular sciences · 2026Article
- Mass Spectrometry Proteomics: A Key to Faster Drug Discovery.Journal of medicinal chemistry · 2026Review
- PTM encoding: decoding the mechanisms of exercise-induced metabolic memory through spatiotemporal modification networks.Frontiers in sports and active living · 2026Review
- Protein abundance inference via expectation-maximization in fluorosequencing.Bioinformatics advances · 2026Article
- AI-driven multi-omics integration in breast cancer: clinical applications, immunotherapy prediction, and translational challenges.Frontiers in molecular biosciences · 2026Review
- Integrative Analysis of Fucosylated Tetra Glycoforms in Hepatocellular Carcinoma: A NanoLC-PRM-MS/MS and Machine Learning Approach.Journal of proteome research · 2025Article
- Multi‑omics reveal neutrophil heterogeneity in sepsis (Review).International journal of molecular medicine · 2025Review
- Article
- Integration of cell-type resolved spatial proteomics and transcriptomics reveals novel mechanisms in early ovarian cancer.medRxiv : the preprint server for health sciences · 2025Article
80 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proteins can be the root cause of a disease, and they can be used to cure it. The need to identify these critical actors was recognized early (1951) by Sanger; the first biopolymer sequenced was a peptide, insulin. With the advent of scalable, single-molecule DNA sequencing, genomics and transcriptomics have since propelled medicine through improved sensitivity and lower costs, but proteomics has lagged behind. Currently, proteomics relies mainly on mass spectrometry (MS), but instead of truly sequencing, it classifies a protein and typically requires about a billion copies of a protein to do it. Here, we offer a survey that illuminates a few alternatives with the brightest prospects for identifying whole proteins and displacing MS for sequencing them. These alternatives all boast sensitivity superior to MS and promise to be scalable and seem to be adaptable to bioinformatics tools for calling the sequence of amino acids that constitute a protein.
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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.