Related Experiment Video
Updated: Jan 3, 2026

08:23
De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
Published on: February 18, 2022
4.1K
Proteomic Detection and Validation of Translated Small Open Reading Frames
Alexandra Khitun1,2, Sarah A Slavoff1,2,3
1Department of Chemistry, Yale University, New Haven, Connecticut.
Current Protocols in Chemical Biology
|November 22, 2019
Summary
This study presents a mass spectrometry method to detect small open reading frame (smORF)-encoded proteins, previously missed by standard techniques. The workflow enables validation, aiding in the discovery of novel protein regulators and therapeutic targets.
Area of Science:
- Proteomics
- Molecular Biology
- Bioinformatics
Background:
- Small open reading frames (smORFs) encode short proteins with regulatory or functional roles.
- These smORF-encoded proteins are often unannotated and undetectable by standard proteomic methods due to initiation at non-AUG codons and limited peptide generation.
- Discovering these small proteins is crucial for identifying novel biological regulators and potential therapeutic targets.
Purpose of the Study:
- To outline a comprehensive procedure for the mass spectrometry-based detection of translated smORFs in human cells.
- To establish a workflow for validating the translation and origin of smORF-encoded peptides.
- To facilitate the annotation and functional characterization of previously undiscovered small proteins.
Main Methods:
- Protein extraction, size selection, and trypsin digestion.
- Two-dimensional liquid chromatography-tandem mass spectrometry (LC-MS/MS) with ERLIC fractionation.
- Construction of transcriptomic databases and identification of non-annotated peptides.
- Validation using siRNA, overexpression, and synthetic peptide standards.
Main Results:
- A detailed protocol for detecting translated smORFs using mass spectrometry was established.
- The workflow allows for the identification of peptides originating from unannotated smORFs.
- Methods for validating smORF translation and assigning peptides to specific genomic loci were demonstrated.
Conclusions:
- The presented workflow enables the discovery and validation of smORF-encoded proteins.
- This approach overcomes limitations of standard proteomics for small protein detection.
- The method is adaptable for various cell types and physiological contexts, advancing the study of smORF functions.
Keywords:
genomicsmass spectrometrymicroproteinpeptidomicsproteogenomicsproteomicsshort open reading framesmall open reading framesmall proteintranscriptomicsupstream open reading frameMore Related Videos
Related Concept Videos
Ribosome Profiling
4.0K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.0K
Leaky Scanning
5.6K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA. Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.6K
Translation in Prokaryotes
1.2K
Prokaryote translation is a complex, highly coordinated process that converts genetic information from mRNA into functional proteins. It involves three stages: initiation, elongation, and termination, each facilitated by specific molecular components.Initiation of TranslationThe process begins with the assembly of the ribosomal subunits and initiation factors on the mRNA. In bacteria, the 30S ribosomal subunit recognizes the Shine-Dalgarno sequence in the mRNA, a conserved region upstream of...
1.2K
Translational Regulation
484
Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...
484
Proteomics
9.2K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
9.2K
Improving Translational Accuracy
14.0K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
14.0K

