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The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Peptidomic discovery of short open reading frame–encoded peptides in human cells

Open access
Slavoff, Sarah A, Mitchell, Andrew J, Schwaid, Adam G, Cabili, Moran N, Ma, Jiao, Levin, Joshua Z, Karger, Amir D, Budnik, Bogdan A, Rinn, John L, Saghatelian, Alan·2013·Nature Chemical Biology

Abstract

The amount of the transcriptome that is translated into polypeptides is of fundamental importance. We developed a peptidomic strategy to detect short ORF (sORF)-encoded polypeptides (SEPs) in human cells. We identified 90 SEPs, 86 of which are novel, the largest number of human SEPs ever reported. SEP abundances range from 10-1000 molecules per cell, identical to known proteins. SEPs arise from sORFs in non-coding RNAs as well as multi-cistronic mRNAs, and many SEPs initiate with non-AUG start codons, indicating that non-canonical translation may be more widespread in mammals than previously thought. In addition, coding sORFs are present in a small fraction (8/1866) of long intergenic non-coding RNAs (lincRNAs). Together, these results provide the strongest evidence to date that the human proteome is more complex than previously appreciated.

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Metadata

Authors
Slavoff, S. A., Mitchell, A. J., Schwaid, A. G., Cabili, M. N., Ma, J., Levin, J. Z., Karger, A. D., Budnik, B. A., Rinn, J. L., & Saghatelian, A.
Venue
Nature Chemical Biology
Published
2012-11-18
Volume
9
Issue
1
Pages
59-64
ISSN
  • 1552-4450 (ISSN-L)
  • 1552-4469
OpenAlex
W2100424218
Cited by
686
References
49
FWCI
14.63
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Peptidomic discovery of short open reading frame–encoded peptides in human cells. https://app.cochat.ai/papers/10.1038/nchembio.1120
The paper
Slavoff, S. A., Mitchell, A. J., Schwaid, A. G., Cabili, M. N., Ma, J., Levin, J. Z., Karger, A. D., Budnik, B. A., Rinn, J. L., & Saghatelian, A. (2013). Peptidomic discovery of short open reading frame–encoded peptides in human cells. Nature Chemical Biology. https://doi.org/10.1038/nchembio.1120

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.