SmORF atlas (part 1-RiboSeq)
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE182371 | GEO | 2022/07/18
REPOSITORIES: GEO
Similar Datasets
Project description:Small open reading frames (smORFs) can have important regulatory roles and give rise to stable proteins, yet their discovery based on sequence-based predictions and proteomics has been challenging. Ribosome profiling (Ribo-seq) data can provide valuable experimental evidence of RNA translation. Stringent analysis of P-sites, representing 1.3 billion high-confidence ribosome locations, revealed 5308 uORFs, 1652 smORFs in lincRNAs and 807 dORFs that are translated in humans. We here provide a comprehensive database of Ribo-seq smORFs for a more complete understanding of the translated human genome.
2022-07-18 | GSE182372 | GEO
Project description:Identifying smORFs and SEPs is technically and computationally challenging. Experimentally, techniques as ribosome profiling (Ribo-Seq and mass spectroscopy (MS) are used. Ribo-Seq sequences the mRNA and does not provide the translated frame, thus identifying proteins encoded by overlapping ORFs is not feasible. Herein we have used MS to characterize smORFomes of different Mycoplasma species. This data is used to corroborate the predictions of a random forest classifier that in silico predicts all the putative SEPs encoded by different bacterial genomes.
2019-03-01 | PXD008243 | Pride
Project description:We used Ribo-seq (Ribosome profiling) combining with RNA-seq to explore the translational landscape of Arabidopsis Col-0 seedling. We generated 6 biological replicates of RNA-seq and Ribo-seq data for Arabidopsis Col-0 seedling. 3 of the replicates were collected after 20 minutes of 0.1% DMSO treatment and the other 3 samples were collected after 60 minutes of DMSO treatmeant. The resulting RNA-seq and Ribo-seq files were used to discover translated up-stream ORFs (uORFs) and analyze the translation efficiency of uORF-containing genes in Arabidopsis.
2023-09-20 | GSE183264 | GEO
Project description:Identifying smORFs and SEPs is technically and computationally challenging. Experimentally, techniques as ribosome profiling (Ribo-Seq and mass spectroscopy (MS) are used. Ribo-Seq sequences the mRNA and does not provide the translated frame, thus identifying proteins encoded by overlapping ORFs is not feasible. Herein we have used MS to characterize smORFomes of different Mycoplasma species and Escherichia coli. This data is used to corroborate the predictions of a random forest classifier that in silico predicts all the putative SEPs encoded by different bacterial genomes.
2019-10-14 | PXD010490 | Pride
Project description:Identifying smORFs and SEPs is technically and computationally challenging. Experimentally, techniques as ribosome profiling (Ribo-Seq and mass spectroscopy (MS) are used. Ribo-Seq sequences the mRNA and does not provide the translated frame, thus identifying proteins encoded by overlapping ORFs is not feasible. Herein we have used MS to characterize smORFomes of different Mycoplasma species, Escherichia coli, Staphylococcus aureus and Pseudomonas aeruginosa. This data is used to corroborate the predictions of a random forest classifier that in silico predicts all the putative SEPs encoded by different bacterial genomes.
2019-10-14 | PXD011038 | Pride
Project description:We used Ribo-seq (Ribosome profiling) combining with RNA-seq to explore the translational landscape of tomato roots. We generated three biological replicates of RNA-seq and Ribo-seq data for tomato roots. We next used the RNA-seq result for de novo transcriptome assembly and Ribo-seq to identify novel translated open reading frames (ORFs). Our data revealed more than three hundreds of novel translated ORFs on previously unannotated transcripts. Most of the newly identified ORFs are small and difficult to detect with in silico methods. We also identified over thirteen hundreds of upstream ORFs on annotated genes. This data could facilitate gene annotation. Besides, this data also demonstrated that uORFs, miRNAs and antisense RNAs are regulating the expression of associated genes. This study uncovered mechanisms of translational regulation and gene annotation in tomato.
2019-07-05 | GSE124962 | GEO
Project description:Micropeptides (≤100 amino acids) are essential regulators of physiological and pathological processes, which can be encoded by small open reading frames (smORFs) derived from long non-coding RNAs (lncRNAs). Recently, lncRNA-encoded micropeptides have been shown to have essential roles in tumorigenesis. Since translated smORF identification remains technically challenging, little is known of their pathological functions in cancer. Therefore, we created classifiers to identify translated smORFs derived from lncRNAs based on ribosome-protected fragment sequencing and machine learning methods. In total, 537 putative translated smORFs were identified and the coding potential of five smORFs was experimentally validated via green fluorescent protein-tagged protein generation and mass spectrometry. After analyzing 11 lncRNA expression profiles of seven cancer types, we identified one validated translated lncRNA, ZFAS1, which was significantly up-regulated in hepatocellular carcinoma (HCC). Functional studies revealed that ZFAS1 can promote cancer cell migration by elevating intracellular reactive oxygen species production by inhibiting nicotinamide adenine dinucleotide dehydrogenase expression, indicating that translated ZFAS1 may be an essential oncogene in the progression of HCC. In this study, we systematically identified translated smORFs derived from lncRNAs and explored their potential pathological functions in cancer to improve our comprehensive understanding of the building blocks of living systems
2020-09-22 | GSE104226 | GEO
Project description: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.
2019-07-03 | GSE125218 | GEO
Project description:Ribonuclease L (RNase L) is activated as part of the innate immune response and plays an important role in the clearance of viral infections. When activated, it endonucleolytically cleaves both viral and host RNAs, leading to a global reduction in protein synthesis. However, it remains unknown how widespread RNA decay, and consequent changes in the translatome, promote the elimination of viruses. To study how this altered transcriptome is translated, we assayed the global distribution of ribosomes in RNase L activated human cells with ribosome profiling. We found that RNase L activation leads to a substantial increase in the fraction of translating ribosomes in ORFs internal to coding sequences (iORFs) and ORFs within 5’ and 3’ UTRs (uORFs and dORFs). Translation of these alternative ORFs was dependent on RNase L’s cleavage activity, suggesting that mRNA decay fragments are translated to produce short peptides that may be important for antiviral activity.
2021-01-18 | GSE158044 | GEO
Project description:Cellular senescence constitutes a generally irreversible proliferation barrier, accompanied by macromolecular damage and metabolic rewiring. Several senescence types have been identified based on the initiating stimulus, such as replicative (RS), stress-induced (SIS) and oncogene-induced senescence (OIS). Reduced protein synthesis is considered a senescence hallmark, but whether this trait pertains to various senescence subtypes and if distinct molecular mechanisms are involved remain largely unknown. Here, we analyze large published or experimentally produced RNA-seq and Ribo-seq datasets to determine whether major translation-regulating entities such as ribosome stalling, the presence of uORFs/dORFs and IRES elements may differentially contribute to translation deficiency in senescence subsets. We show that translation-regulating mechanisms may not be directly relevant to RS, however uORFs are significantly enriched in SIS. Interestingly, ribosome stalling, uORF/dORF patterns and IRES elements comprise predominant mechanisms upon OIS, strongly correlating with Notch pathway activation. Our study provides for the first time evidence that major translation dysregulation mechanisms/patterns occur during cellular senescence, but at different rates depending on the stimulus type. The degree at which those mechanisms accumulate directly correlates with translation deficiency levels. Our thorough analysis contributes to elucidating crucial and so far unknown differences in the translation machinery and ribosome biogenesis between senescence subsets.
2023-08-31 | GSE225095 | GEO