Disrupting upstream translation in mRNAs leads to loss-of-function associated with human disease

ABSTRACTRibosome-profiling has uncovered pervasive translation in 5’UTRs, however the biological significance of this phenomenon remains unclear. Using genetic variation from 71,702 human genomes, we assess patterns of selection in translated upstream open reading frames (uORFs) in 5’UTRs. We show that uORF variants introducing new stop codons, or strengthening existing stop codons, are under strong negative selection comparable to protein-coding missense variants. Using these variants, we map and validate new gene-disease associations in two independent biobanks containing exome sequencing from 10,900 and 32,268 individuals respectively, and demonstrate their impact on gene expression in human cells. Our results establish new mechanisms relating uORF variation to loss-of-function of downstream genes, and demonstrate that translated uORFs are genetically constrained regulatory elements in 40% of human genes.

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Disrupting upstream translation in mRNAs is associated with human disease

Nature Communications ◽

10.1038/s41467-021-21812-1 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

David S. M. Lee ◽

Joseph Park ◽

Andrew Kromer ◽

Aris Baras ◽

Daniel J. Rader ◽

...

Keyword(s):

Protein Expression ◽

Biological Significance ◽

Ribosome Profiling ◽

Open Reading Frames ◽

Protein Coding ◽

Stop Codons ◽

Human Genes ◽

Strong Negative Selection ◽

Disease Associations ◽

Reading Frames

AbstractRibosome-profiling has uncovered pervasive translation in non-canonical open reading frames, however the biological significance of this phenomenon remains unclear. Using genetic variation from 71,702 human genomes, we assess patterns of selection in translated upstream open reading frames (uORFs) in 5’UTRs. We show that uORF variants introducing new stop codons, or strengthening existing stop codons, are under strong negative selection comparable to protein-coding missense variants. Using these variants, we map and validate gene-disease associations in two independent biobanks containing exome sequencing from 10,900 and 32,268 individuals, respectively, and elucidate their impact on protein expression in human cells. Our results suggest translation disrupting mechanisms relating uORF variation to reduced protein expression, and demonstrate that translation at uORFs is genetically constrained in 50% of human genes.

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Translation of ABCE1 Is Tightly Regulated by Upstream Open Reading Frames in Human Colorectal Cells

Biomedicines ◽

10.3390/biomedicines9080911 ◽

2021 ◽

Vol 9 (8) ◽

pp. 911

Author(s):

Joana Silva ◽

Pedro Nina ◽

Luísa Romão

Keyword(s):

Translational Regulation ◽

Regulatory Elements ◽

Ribosome Profiling ◽

Leader Sequence ◽

Open Reading Frames ◽

Regulatory Function ◽

Coding Sequence ◽

Abc Protein ◽

Upstream Open Reading Frames ◽

Reading Frames

ATP-binding cassette subfamily E member 1 (ABCE1) belongs to the ABC protein family of transporters; however, it does not behave as a drug transporter. Instead, ABCE1 actively participates in different stages of translation and is also associated with oncogenic functions. Ribosome profiling analysis in colorectal cancer cells has revealed a high ribosome occupancy in the human ABCE1 mRNA 5′-leader sequence, indicating the presence of translatable upstream open reading frames (uORFs). These cis-acting translational regulatory elements usually act as repressors of translation of the main coding sequence. In the present study, we dissect the regulatory function of the five AUG and five non-AUG uORFs identified in the human ABCE1 mRNA 5′-leader sequence. We show that the expression of the main coding sequence is tightly regulated by the ABCE1 AUG uORFs in colorectal cells. Our results are consistent with a model wherein uORF1 is efficiently translated, behaving as a barrier to downstream uORF translation. The few ribosomes that can bypass uORF1 (and/or uORF2) must probably initiate at the inhibitory uORF3 or uORF5 that efficiently repress translation of the main ORF. This inhibitory property is slightly overcome in conditions of endoplasmic reticulum stress. In addition, we observed that these potent translation-inhibitory AUG uORFs function equally in cancer and in non-tumorigenic colorectal cells, which is consistent with a lack of oncogenic function. In conclusion, we establish human ABCE1 as an additional example of uORF-mediated translational regulation and that this tight regulation contributes to control ABCE1 protein levels in different cell environments.

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An Improved Human smORF Annnotation Workflow Combining De Novo Transcriptome Assembly and Ribo-Seq

10.1101/523860 ◽

2019 ◽

Author(s):

Thomas F. Martinez ◽

Qian Chu ◽

Cynthia Donaldson ◽

Dan Tan ◽

Maxim N. Shokhirev ◽

...

Keyword(s):

De Novo ◽

Transcriptome Assembly ◽

Human Leukocyte ◽

Open Reading Frames ◽

Translation Efficiency ◽

Proteomics Data ◽

Protein Coding ◽

Leukocyte Antigen ◽

Human Genes ◽

Small Open Reading Frames

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, providing an approach to select 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.

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Conserved regions in long non-coding RNAs contain abundant translation and protein–RNA interaction signatures

NAR Genomics and Bioinformatics ◽

10.1093/nargab/lqz002 ◽

2019 ◽

Vol 1 (1) ◽

pp. e2-e2 ◽

Cited By ~ 4

Author(s):

Jorge Ruiz-Orera ◽

M Mar Albà

Keyword(s):

Biological Significance ◽

Ribosome Profiling ◽

Evolutionary Analysis ◽

Amino Acid Sequence Level ◽

Protein Coding ◽

Conserved Regions ◽

Non Coding Rnas ◽

Rna Interaction ◽

Regulatory Functions ◽

Sequence Constraints

Abstract The mammalian transcriptome includes thousands of transcripts that do not correspond to annotated protein-coding genes and that are known as long non-coding RNAs (lncRNAs). A handful of lncRNAs have well-characterized regulatory functions but the biological significance of the majority of them is not well understood. LncRNAs that are conserved between mice and humans are likely to be enriched in functional sequences. Here, we investigate the presence of different types of ribosome profiling signatures in lncRNAs and how they relate to sequence conservation. We find that lncRNA-conserved regions contain three times more ORFs with translation evidence than non-conserved ones, and identify nine cases that display significant sequence constraints at the amino acid sequence level. The study also reveals that conserved regions in intergenic lncRNAs are significantly enriched in protein–RNA interaction signatures when compared to non-conserved ones; this includes sites in well-characterized lncRNAs, such as Cyrano, Malat1, Neat1 and Meg3, as well as in tens of lncRNAs of unknown function. This work illustrates how the analysis of ribosome profiling data coupled with evolutionary analysis provides new opportunities to explore the lncRNA functional landscape.

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Determining the impact of putative loss-of-function variants in protein-coding genes

10.1101/106468 ◽

2017 ◽

Author(s):

Suganthi Balasubramanian ◽

Yao Fu ◽

Mayur Pawashe ◽

Patrick McGillivray ◽

Mike Jin ◽

...

Keyword(s):

De Novo ◽

Mendelian Disease ◽

Loss Of Function ◽

Homozygous State ◽

Driver Genes ◽

Protein Coding ◽

Disease Gene Discovery ◽

Human Genes ◽

Using Data ◽

The Impact

AbstractVariants predicted to result in the loss of function (LoF) of human genes have attracted interest because of their clinical impact and surprising prevalence in healthy individuals. Here, we present ALoFT (Annotation of Loss-of-Function Transcripts), a method to annotate and predict the disease-causing potential of LoF variants. Using data from Mendelian disease-gene discovery projects, we show that ALoFT can distinguish between LoF variants deleterious as heterozygotes and those causing disease only in the homozygous state. Investigation of variants discovered in healthy populations suggests that each individual carries at least two heterozygous premature stop alleles that could potentially lead to disease if present as homozygotes. When applied to de novo pLoF variants in autism-affected families, ALoFT distinguishes between deleterious variants in patients and benign variants in unaffected siblings. Finally, analysis of somatic variants in > 6,500 cancer exomes shows that pLoF variants predicted to be deleterious by ALoFT are enriched in known driver genes.

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Long antiparallel open reading frames are unlikely to be encoding essential proteins in prokaryotic genomes

10.1101/724807 ◽

2019 ◽

Author(s):

Denis Moshensky ◽

Andrei Alexeevski

Keyword(s):

Negative Selection ◽

Stop Codon ◽

Biological Significance ◽

Open Reading Frames ◽

Overlapping Genes ◽

Base Pairs ◽

Protein Coding ◽

Essential Proteins ◽

Prokaryotic Genomes ◽

Reading Frames

AbstractThe origin and evolution of genes that have common base pairs (overlapping genes) are of particular interest due to their influencing each other. Especially intriguing are gene pairs with long overlaps. In prokaryotes, co-directional overlaps longer than 60 bp were shown to be nonexistent except for some instances. A few antiparallel prokaryotic genes with long overlaps were described in the literature. We have analyzed putative long antiparallel overlapping genes to determine whether open reading frames (ORFs) located opposite to genes (antiparallel ORFs) can be protein-coding genes.We have confirmed that long antiparallel ORFs (AORFs) are observed reliably to be more frequent than expected. There are 10 472 000 AORFs in 929 analyzed genomes with overlap length more than 180 bp. Stop codons on the opposite to the coding strand are avoided in 2 898 cases with Benjamini-Hochberg threshold 0.01.Using Ka/Ks ratio calculations, we have revealed that long AORFs do not affect the type of selection acting on genes in a vast majority of cases. This observation indicates that long AORFs translations commonly are not under negative selection.The demonstrative example is 282 longer than 1 800 bp AORFs found opposite to extremely conserved dnaK genes. Translations of these AORFs were annotated “glutamate dehydrogenases” and were included into Pfam database as third protein family of glutamate dehydrogenases, PF10712. Ka/Ks analysis has demonstrated that if these translations correspond to proteins, they are not subjected by negative selection while dnaK genes are under strong stabilizing selection. Moreover, we have found other arguments against the hypothesis that these AORFs encode essential proteins, proteins indispensable for cellular machinery.However, some AORFs, in particular, dnaK related, have been found slightly resisting to synonymous changes in genes. It indicates the possibility of their translation. We speculate that translations of certain AORFs might have a functional role other than encoding essential proteins.Essential genes are unlikely to be encoded by AORFs in prokaryotic genomes. Nevertheless, some AORFs might have biological significance associated with their translations.Author summaryGenes that have common base pairs are called overlapping genes. We have examined the most intriguing case: if gene pairs encoded on opposite DNA strands exist in prokaryotes. An intersection length threshold 180 bp has been used. A few such pairs of genes were experimentally confirmed.We have detected all long antiparallel ORFs in 929 prokaryotic genomes and have found that the number of open reading frames, located opposite to annotated genes, is much more than expected according to statistical model. We have developed a measure of stop codon avoidance on the opposite strand. The lengths of found antiparallel ORFs with stop codon avoidance are typical for prokaryotic genes.Comparative genomics analysis shows that long antiparallel ORFs (AORFs) are unlikely to be essential protein-coding genes. We have analyzed distributions of features typical for essential proteins among formal translations of all long AORFs: prevalence of negative selection, non-uniformity of a conserved positions distribution in a multiple alignment of homologous proteins, the character of homologs distribution in phylogenetic tree of prokaryotes. All of them have not been observed for the majority of long AORFs. Particularly, the same results have been obtained for some experimentally confirmed AOGs.Thus, pairs of antiparallel overlapping essential genes are unlikely to exist. On the other hand, some antiparallel ORFs affect the evolution of genes opposite that they are located. Consequently, translations of some antiparallel ORFs might have yet unknown biological significance.

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Genome-wide identification of Arabidopsis non-AUG-initiated upstream ORFs with evolutionarily conserved regulatory sequences that control protein expression levels

10.1101/2021.03.25.436978 ◽

2021 ◽

Author(s):

Yuta Hiragori ◽

Hiro Takahashi ◽

Noriya Hayashi ◽

Shun Sasaki ◽

Kodai Nakao ◽

...

Keyword(s):

Regulatory Peptides ◽

Inhibitory Effect ◽

Ribosome Profiling ◽

Open Reading Frames ◽

Regulatory Sequences ◽

Dependent Manner ◽

Protein Coding ◽

Genome Wide ◽

Evolutionarily Conserved ◽

Upstream Open Reading Frames

Upstream open reading frames (uORFs) are short ORFs found in the 5′-UTRs of many eukaryotic transcripts and can influence the translation of protein-coding main ORFs (mORFs). Recent genome-wide ribosome profiling studies have revealed that thousands of uORFs initiate translation at non-AUG start codons. However, the physiological significance of these non-AUG uORFs has so far been demonstrated for only a few of them. It is conceivable that physiologically important non-AUG uORFs are evolutionarily conserved across species. In this study, using a combination of bioinformatics and experimental approaches, we searched the Arabidopsis genome for non-AUG-initiated uORFs with conserved sequences that control the expression of the mORF-encoded proteins. As a result, we identified four novel regulatory non-AUG uORFs. Among these, two exerted repressive effects on mORF expression in an amino acid sequence-dependent manner. These two non-AUG uORFs are likely to encode regulatory peptides that cause ribosome stalling, thereby enhancing their repressive effects. In contrast, one of the identified regulatory non-AUG uORFs promoted mORF expression by alleviating the inhibitory effect of a downstream AUG-initiated uORF. These findings provide insights into the mechanisms that enable non-AUG uORFs to play regulatory roles despite their low translation initiation efficiencies.

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Harnessing population-specific protein truncating variants to improve the annotation of loss-of-function alleles

10.1101/2020.08.17.254904 ◽

2020 ◽

Author(s):

Rostislav K. Skitchenko ◽

Julia S. Kornienko ◽

Evgeniia M. Maksiutenko ◽

Andrey S. Glotov ◽

Alexander V. Predeus ◽

...

Keyword(s):

Population Genomics ◽

False Positive Rate ◽

Threshold Value ◽

Specific Protein ◽

Human Populations ◽

Loss Of Function ◽

Human Genes ◽

Strong Negative Selection ◽

Disease Penetrance ◽

Positive Rate

AbstractAccurate annotation of putative loss-of-function (pLoF) variants is an important problem in human genomics and disease, which recently drew substantial attention. Since such variants in disease-related genes are under strong negative selection, their frequency across major ancestral groups is expected to be highly similar. In this study, we tested this assumption by systematically assessing the presence of highly population-specific protein-truncating variants (PTVs) in human genes using latest population-scale data. We discovered an unexpectedly high incidence of population-specific PTVs in all major ancestral groups. This does not conform to a recently proposed model, indicating either systemic differences in disease penetrance in different human populations, or a failure of current annotation criteria to accurately predict the loss-of-function potential of PTVs. We show that low-confidence pLoF variants are enriched in genes with non-uniform PTV count distribution, and developed a computational tool called LoFfeR that can efficiently predict tolerated pLoF variants. To evaluate the performance of LoFfeR, we use a set of known pathogenic and benign PTVs from the ClinVar database, and show that LoFfeR allows for a more accurate annotation of low-confidence pLoF variants compared to existing methods. Notably, only 4.4% of protein-truncating gnomAD SNPs in canonical transcripts can be filtered out using a recommended threshold value of the recently proposed pext score, while up to 10.9% of such variants are filtered using LoFfeR with the same false positive rate. Hence, we believe that LoFfeR can be used for additional filtering of low-confidence pLoF variants in population genomics and medical genetics studies.

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uORF-Tools – Workflow for the determination of translation-regulatory upstream open reading frames

10.1101/415018 ◽

2018 ◽

Cited By ~ 1

Author(s):

Anica Scholz ◽

Florian Eggenhofer ◽

Rick Gelhausen ◽

Björn Grüning ◽

Kathi Zarnack ◽

...

Keyword(s):

Ribosome Profiling ◽

Open Reading Frames ◽

Annotation File ◽

Inhibitory Effects ◽

Protein Coding ◽

Reading Frame ◽

Upstream Open Reading Frames ◽

Induced Changes ◽

Reading Frames

AbstractRibosome profiling (ribo-seq) provides a means to analyze active translation by determining ribosome occupancy in a transcriptome-wide manner. The vast majority of ribosome protected fragments (RPFs) resides within the protein-coding sequence of mRNAs. However, commonly reads are also found within the transcript leader sequence (TLS) (aka 5’ untranslated region) preceding the main open reading frame (ORF), indicating the translation of regulatory upstream ORFs (uORFs). Here, we present a workflow for the identification of translation-regulatory uORFs. Specifically, uORF-Tools identifies uORFs within a given dataset and generates a uORF annotation file. In addition, a comprehensive human uORF annotation file, based on 35 ribo-seq files, is provided, which can serve as an alternative input file for the workflow. To assess the translation-regulatory activity of the uORFs, stimulus-induced changes in the ratio of the RPFs residing in the main ORFs relative to those found in the associated uORFs are determined. The resulting output file allows for the easy identification of candidate uORFs, which have translation-inhibitory effects on their associated main ORFs. uORF-Tools is available as a free and open Snakemake workflow at https://github.com/Biochemistry1-FFM/uORF-Tools. It is easily installed and all necessary tools are provided in a version-controlled manner, which also ensures lasting usability. uORF-Tools is designed for intuitive use and requires only limited computing times and resources.

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

10.1101/223073 ◽

2017 ◽

Cited By ~ 1

Author(s):

Pierre Murat ◽

Giovanni Marsico ◽

Barbara Herdy ◽

Avazeh Ghanbarian ◽

Guillem Portella ◽

...

Keyword(s):

Secondary Structures ◽

Ribosome Profiling ◽

Open Reading Frames ◽

Untranslated Regions ◽

Translation Regulation ◽

Physical Interaction ◽

Protein Coding ◽

Upstream Open Reading Frames ◽

Nucleotide Resolution ◽

Reading Frames

ABSTRACTRNA secondary structures in the 5’ untranslated regions (UTRs) of mRNAs have been characterised as key determinants of translation initiation. However the role of non-canonical secondary structures, such as RNA G-quadruplexes (rG4s), in modulating translation of human mRNAs and the associated mechanisms remain largely unappreciated. Here we use a ribosome profiling strategy to investigate the translational landscape of human mRNAs with structured 5’ untranslated regions (5’-UTR). We found that inefficiently translated mRNAs, containing rG4-forming sequences in their 5’-UTRs, have an accumulation of ribosome footprints in their 5’-UTRs. We show that rG4-forming sequences are determinants of 5’-UTR translation, suggesting that the folding of rG4 structures thwarts the translation of protein coding sequences (CDS) by stimulating the translation of repressive upstream open reading frames (uORFs). To support our model, we demonstrate that depletion of two rG4s-specialised DEAH-box helicases, DHX36 and DHX9, shifts translation towards rG4-containing uORFs reducing the translation of selected transcripts comprising proto-oncogenes, transcription factors and epigenetic regulators. Transcriptome-wide identification of DHX9 binding sites using individual-nucleotide resolution UV crosslinking and immunoprecipitation (iCLIP) demonstrate that translation regulation is mediated through direct physical interaction between the helicase and its rG4 substrate. Our findings unveil a previously unknown role for non-canonical structures in governing 5’-UTR translation and suggest that the interaction of helicases with rG4s could be considered as a target for future therapeutic intervention.

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