ReviewiScience2023
Proteoforms expand the world of microproteins and short open reading frame-encoded peptides.
Review in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- A One Health Framework for Proteomics Across the Tree of Life to Advance Food Security, Animal Health, and Ecosystem Resilience.Proteomes · 2026Review
- Proteomic Evidence Indicates Ultrasound-Assisted Extraction Enhances Recovery of Membrane-Associated Proteins inJournal of agricultural and food chemistry · 2026Article
- Microprotein, macro-effect: DWORF as a therapeutic strategy in heart failure.Frontiers in cell and developmental biology · 2026Review
- Top-Down Proteomics: Why and When?Proteomics · 2025Article
- Review
- Chasing the Ghost Proteome in the Dark Matter.Molecular & cellular proteomics : MCP · 2025Review
- Detection and Quantitation of Small Proteins Using Mass Spectrometry.Molecular & cellular proteomics : MCP · 2025Article
- Proteogenomics-enabled discovery of novel small open reading frame (sORF)-encoded polypeptides in human and mouse tissues.Nucleic acids research · 2025Article
- Guided tour through the small protein landscape ofmicroLife · 2025Article
- Review
- Review
- The 2023 Report on the Proteome from the HUPO Human Proteome Project.Journal of proteome research · 2024Review
- Microproteins-Discovery, structure, and function.Proteomics · 2023Review
- Diversifying the concept of model organisms in the age of -omics.Communications biology · 2023Review
- What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome?Molecular & cellular proteomics : MCP · 2023Article
- Detection of Known and Novel Small Proteins inAnalytical chemistry · 2023Article
- Synthetic and natural antimicrobials as a control against food borne pathogens: A review.Heliyon · 2023Review
- What can Ribo-seq and proteomics tell us about the non-canonical proteome?bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microproteins and short open reading frame-encoded peptides (SEPs) can, like all proteins, carry numerous posttranslational modifications. Together with posttranscriptional processes, this leads to a high number of possible distinct protein molecules, the proteoforms, out of a limited number of genes. The identification, quantification, and molecular characterization of proteoforms possess special challenges to established, mainly bottom-up proteomics (BUP) based analytical approaches. While BUP methods are powerful, proteins have to be inferred rather than directly identified, which hampers the detection of proteoforms. An alternative approach is top-down proteomics (TDP) which allows to identify intact proteoforms. This perspective article provides a brief overview of modified microproteins and SEPs, introduces the proteoform terminology, and compares present BUP and TDP workflows highlighting their major advantages and caveats. Necessary future developments in TDP to fully accentuate its potential for proteoform-centric analytics of microproteins and SEPs will be discussed.
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What OpenQuestion holds
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.