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Microprotein discovery in HEK293T and K562 cells

ABSTRACT: The objective of this project is to identify novel microproteins in HEK293T and K562 cell lysates with subsequent fractionation, for the purpose of identifying predicted microproteins from the tool ShortStop.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Brendan Miller

LAB HEAD: Alan Saghatelian

PROVIDER: PXD050875 | Pride | 2025-08-25

REPOSITORIES: Pride

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			Action	DRS
	20190725_ASRM-103.mzML	Mzml
	20190725_ASRM-103.pepXML	Pepxml
	20190725_ASRM-103.raw	Raw
	20190725_ASRM-103_1.mzML	Mzml
	20190725_ASRM-103_1.pepXML	Pepxml

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Publications

ShortStop: a machine learning framework for microprotein discovery.

Miller Brendan B de Souza Eduardo Vieira EV Pai Victor J VJ Kim Hosung H Vaughan Joan M JM Lau Calvin J CJ Diedrich Jolene K JK Saghatelian Alan A

BMC methods 20250801 1

<h4>Background</h4>The human genome contains over 3 million small open reading frames (smORFs, <i>≤</i> 150 codons). Ribosome profiling and proteogenomics transformed our understanding of these sequences by showing that thousands are actively translated, and hundreds produce detectable peptides by mass spectrometry. However, the random arrangement of codons across the 3-gigabase human genome naturally generates smORFs by chance, suggesting many may represent translational noise or regulatory ele ...[more]

PMID: 40756675

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