Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Accurate annotation of human protein-coding small open reading frames

ABSTRACT: Protein-coding small open reading frames (smORFs) are emerging as an important class of genes, however, the coding capacity of smORFs in the human genome is unclear. By integrating de novo transcriptome assembly and Ribo-Seq, we confidently annotate thousands of novel translated smORFs in three human cell lines. We find that smORF translation prediction is noisier than for annotated coding sequences, underscoring the importance of analyzing multiple experiments and footprinting conditions. These smORFs are located within non-coding and antisense transcripts, the UTRs of mRNAs, and unannotated transcripts. Analysis of RNA levels and translation efficiency during cellular stress identifies regulated smORFs and provides an approach for identifying smORFs for further investigation. Sequence conservation and signatures of positive selection indicate that encoded microproteins are likely functional. Additionally, proteomics data from enriched human leukocyte antigen complexes validates the translation of hundreds of smORFs and positions them as a source of novel antigens. Thus, smORFs represent a significant number of important, yet unexplored human genes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE125218 | GEO | 2019/07/03

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Extensive translation of small Open Reading Frames revealed by Poly-Ribo-Seq

Project description:We present a genome-wide assessment of small open reading frames (smORF) translation by ribosomal profiling of polysomal fractions in Drosophila S2 cell. In this way, mRNAs bound by multiple ribosomes and hence actively translated can be isolated and distinguished from mRNAs bound by sporadic, putatively non-productive single ribosomes or ribosomal subunits. Ribosomal profiling of large and small polysomal fractions in Drosophila S2 cells to assess translation of smORFs

2014-09-11 | E-GEOD-60384 | biostudies-arrayexpress

Pervasive functional translation of noncanonical open reading frames

Project description:Ribosome profiling has revealed pervasive but largely uncharacterized translation outside of canonical coding sequences (CDSs). Here, we exploit a systematic CRISPR-based screening strategy to identify hundreds of non-canonical CDSs that are essential for cellular growth and whose disruption elicit specific, robust transcriptomic and phenotypic changes in human cells. Functional characterization of the encoded microproteins reveals distinct cellular localizations, specific protein binding partners, and hundreds that are presented by the HLA system. Interestingly, we find multiple microproteins encoded in upstream open reading frames, which form stable complexes with the main, canonical protein encoded on the same mRNA, thus revealing the diverse use of functional bicistronic operons in mammals. Together, our results point to a family of functional human microproteins that play critical and diverse cellular roles.

2020-03-14 | GSE131650 | GEO

Identification of translated small open reading frames in lymphocytes

Project description:Open reading frames (ORFs) are the genomic DNA sequences that have the potential to be translated. Genome annotation pipelines dismiss translation products of small ORFs (smORFs) of less than 100 codons (<300 nucleotides) as being unlikely to have a biological function. In this study, we systematically characterized smORFs in mouse B and T cells under different conditions and predicted a total of 5744 unique actively translated smORFs. We then extended our analysis to ORFs of 101-200 codons in length and predicted 945 of such longer translation products. Additionally, our results have suggested the existence of candidate secreted micropeptides. Furthermore, verifying their existence and identifying their functions will be essential and potentially lead to useful applications.

2021-04-28 | GSE154491 | GEO

Improved Identification and Analysis of Small Open Reading Frame Encoded Polypeptides

Project description:Computational, genomic, and proteomic approaches have been used to discover nonannotated proteincoding small open reading frames (smORFs). Some novel smORFs have crucial biological roles in cells and organisms, which motivates the search for additional smORFs. Proteomic smORF discovery methods are advantageous because they detect smORF-encoded polypeptides (SEPs) to validate smORF translation and SEP stability. Because SEPs are shorter and less abundant than average proteins, SEP detection using proteomics faces unique challenges. Here, we optimize several steps in the SEP discovery workflow to improve SEP isolation and identification. These changes have led to the detection of several new human SEPs (novel human genes), improved confidence in the SEP assignments, and enabled quantification of SEPs under different cellular conditions. These improvements will allow faster detection and characterization of new SEPs and smORFs.

2017-10-17 | PXD005643 | Pride

Profiling Mouse Brown and White Adipocytes to Identify Metabolically Relevant small ORFs and Functional Microproteins [RNA-seq]

Project description:The absence of thousands of recently annotated small open reading frame (smORF)-encoded peptides and small proteins (microproteins) from databases has precluded their analysis in metabolism and metabolic disease. Given the outsized importance of small proteins and peptides in metabolism—insulin, leptin, amylin, glucagon, and glucagon-like peptide-1 (GLP-1)—microproteins are a potentially rich source of uncharacterized metabolic regulators. Here, we annotate smORFs in primary differentiated brown, white, and beige mouse adipose cells. Ribosome profiling (Ribo-Seq) detected a total of 3,877 unannotated smORFs. Analysis of RNA-Seq datasets revealed diet-regulated smORF expression in adipose tissues, and validated the adipose translation of the feeding-neuron marker gene Gm8773. Gm8773 encodes the mouse homolog of FAM237B, a neurosecretory protein that stimulates food intake and promotes weight gain in chickens. Testing of recombinant mFAM237B produced similar orexigenic activity in mice further supporting a role for FAM237B a metabolic regulator and part of the brain-adipose axis. Furthermore, we showed that data independent acquisition mass spectrometry (DIA-MS) proteomics can provide a sensitive, flexible, and quantitative platform for identifying microproteins by mass spectrometry. Using this system led to the detection of 58 microproteins from cell culture and an additional 25 from mouse serum. The proteomics data established the anti-inflammatory microprotein AW112010 as a circulating factor, and found that serum levels of a microprotein translated from a FRS2 uORF is elevated in older obese mice. Together, the data highlight the value of this database in examining understudied smORFs and microproteins in metabolic research and identifying additional regulators of metabolism.

2022-12-13 | GSE198107 | GEO

Profiling Mouse Brown and White Adipocytes to Identify Metabolically Relevant small ORFs and Functional Microproteins [Ribo-seq]

2022-12-13 | GSE197909 | GEO

Improved Identification and Analysis of Small Open Reading Frame Encoded Polypeptides

2019-06-26 | MSV000084014 | MassIVE

Extensive translation of small Open Reading Frames revealed by Poly-Ribo-Seq

2014-09-11 | GSE60384 | GEO

The influence of transcript assembly on the proteogenomics discovery of microproteins

Project description:Proteogenomics methods have identified many non-annotated protein-coding genes in the human genome. Many of the newly discovered protein-coding genes encode peptides and small proteins, referred to collectively as microproteins. Microproteins are produced through ribosome translation of small open reading frames (smORFs). The discovery of many smORFs reveals a blind spot in traditional gene-finding algorithms for these genes. Biological studies have found roles for microproteins in cell biology and physiology, and the potential that there exists additional bioactive microproteins drives the interest in detection and discovery of these molecules. A key step in any proteogenomics workflow is the assembly of RNA-Seq data into likely mRNA transcrips that are then used to create a searchable protein databases. Here we demonstrate that specific features of the assembled transcriptome impact microprotein detection by shotgun proteomics. By tailoring transcript assembly for downstream mass spectrometry searching, we show that we can detect more than double the number of high-quality microprotein candidates and introduce a novel open-source mRNA assembler for proteogenomics (MAPS) that incorporates all of these features. By integrating our specialized assembler, MAPS, and a popular generalized assembler into our proteogenomics pipeline, we detect 45 novel human microproteins from a high quality proteogenomics dataset of a human cell line. We then characterize the features of the novel microproteins, identifying two classes of microproteins. Our work highlights the importance of specialized transcriptome assembly upstream of proteomics validation when searching for short and potentially rare and poorly conserved proteins.

2017-12-20 | GSE92659 | GEO

RNA G-quadruplexes mark repressive upstream open reading frames in human mRNAs

Project description:Translational control is a key determinant of protein abundance, which in turns defines the physiology and pathology of human cells. Initiation of translation is highly regulated in eukaryotes and is considered as the rate-limiting step of protein synthesis. mRNA secondary structures in 5’ untranslated region (UTR) and associated helicases have been characterised as key determinants of translation initiation. Nevertheless the transcriptome-wide contribution of non-canonical secondary structures, such as RNA G-quadruplexes (rG4s), to the translation of human mRNAs remains largely unappreciated. Here we use a ribosome profiling strategy to investigate the translational landscape associated to rG4s-containing mRNAs and the contribution of two rG4s-specialised DExH-box helicases, DHX9 and DHX36, to translation initiation in human cells. We show that rG4-forming sequences in 5’-UTR is associated with decreased translation efficiency which correlate with an increased ribosome density within the 5’-UTRs. We found that rG4s contribute to the translation of upstream open reading frames, and as a consequence, thwart the translation of the associated protein coding sequences (CDS). Depletion of the DHX36 and DHX9 helicases demonstrated that the formation of the rG4 structural motif rather than its nucleotide sequence mediate translation initiation. Our findings unveil a role for non-canonical structures in defining alternative 5’ starts for human mRNAs translation initiation.

2018-04-30 | GSE105082 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data