Evidence map›Paper›PMID 32449352›Full record

ArticleJournal of proteome research2020

Comparative Proteomic Profiling of Unannotated Microproteins and Alternative Proteins in Human Cell Lines.

Xiongwen Cao, Alexandra Khitun, Zhenkun Na, Daniel G Dumitrescu, Marcelina Kubica, Elizabeth Olatunji, Sarah A Slavoff

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

41 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
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  6. Chasing the Ghost Proteome in the Dark Matter.Molecular & cellular proteomics : MCP · 2025
    Review
  7. Mitochondrial Microproteins: Emerging Regulators in Neurodevelopment and Neurodegeneration.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
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  15. Article
  16. Review
  17. Article
  18. Biophysical characterization of high-confidence, small human proteins.bioRxiv : the preprint server for biology · 2024
    Article
  19. Review
  20. Review
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

7 authors at 1 institution in 1 country.

Xiongwen CaoDepartment of Chemistry, Yale University, New Haven, Connecticut 06520, United States.
Alexandra KhitunDepartment of Chemistry, Yale University, New Haven, Connecticut 06520, United States.ORCID 0000-0003-4137-0035
Zhenkun NaDepartment of Chemistry, Yale University, New Haven, Connecticut 06520, United States.
Daniel G DumitrescuDepartment of Chemistry, Yale University, New Haven, Connecticut 06520, United States.
Marcelina KubicaChemical Biology Institute, Yale University, West Haven, Connecticut06516, United States.
Elizabeth OlatunjiChemical Biology Institute, Yale University, West Haven, Connecticut06516, United States.
Sarah A SlavoffDepartment of Chemistry, Yale University, New Haven, Connecticut 06520, United States.ORCID 0000-0002-4443-2070
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Predoc Training at the Interface Chemistry and BiologyT32GM067543 · NIGMS · YALE UNIVERSITY · PI CRAWFORD, JASON MICHAEL · 2003 to 2022
$7.4M
NCATS NIH HHS UL1 TR001863NIGMS NIH HHS T32 GM067543
6 · The paper itself

Abstract

Ribosome profiling and mass spectrometry have revealed thousands of small and alternative open reading frames (sm/alt-ORFs) that are translated into polypeptides variously termed as microproteins and alt-proteins in mammalian cells. Some micro-/alt-proteins exhibit stress-, cell-type-, and/or tissue-specific expression; understanding this regulated expression will be critical to elucidating their functions. While differential translation has been inferred by ribosome profiling, quantitative mass spectrometry-based proteomics is needed for direct comparison of microprotein and alt-protein expression between samples and conditions. However, while label-free quantitative proteomics has been applied to detect stress-dependent expression of bacterial microproteins, this approach has not yet been demonstrated for analysis of differential expression of unannotated ORFs in the more complex human proteome. Here, we present global micro-/alt-protein quantitation in two human leukemia cell lines, K562 and MOLT4. We identify 12 unannotated proteins that are differentially expressed in these cell lines. The expression of six micro/alt-proteins from cDNA was validated biochemically, and two were found to localize to the nucleus. Thus, we demonstrate that label-free comparative proteomics enables quantitation of micro-/alt-protein expression between human cell lines. We anticipate that this workflow will enable the discovery of regulated sm/alt-ORF products across many biological conditions in human cells.

Indexed as

ProteomeProteomicsCell LineHumansMass SpectrometryOpen Reading FramesProteomealternative proteincomparative proteomicsmicroproteinproteogenomicsunannotated protein

Identifiers

PMID32449352
PMCPMC7429271
OpenAlexW3026447275

What OpenQuestion holds

Textmetadata
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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.