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Baranov, P. V.

Publications and source records attributed to Baranov, P. V..

11 recordsLinked to original sources

The earliest changes in the translatome upon human T cell activation

Stimulation of resting T cells triggers a rapid transition into an activated state, characterized by significant changes in phenotype, metabolism and secretory function. To explore the earliest responses, we examined transcriptional and translational changes in isolated human T cells within the first four hours post-stimulation. Polyclonal stimulation initially upregulates cytokine genes while downregulating certain transcription factors and regulators. Subsequently, selective mRNA translation occurs on 5-terminal oligopyrimidine (TOP) motif-containing mRNAs and ATF4, alongside global transcriptional reprogramming involving alternative transcription and splicing. Notably, both stimulated and unstimulated T cells undergo dynamic gene expression changes over time, reflecting adaptation to in vitro conditions and the loss of in vivo homeostatic signals. This includes heightened translation initiation stringency, particularly in non-stimulated cells. Thus, stress responses induced by standard T cell isolation protocols must be considered when investigating T cell signaling and activation.

immunology↗

An expanded reference catalog of translated open reading frames for biomedical research

Non-canonical (i.e., unannotated) open reading frames (ncORFs) have until recently been omitted from reference genome annotations, despite evidence of their translation, limiting their incorporation into biomedical research. To address this, in 2022, we initiated the TransCODE consortium and built the first community-driven consensus catalog of human ncORFs, which was openly distributed to the research community via Ensembl-GENCODE. While this catalog represented a starting point for reference ncORF annotation, major technical and scientific issues remained. In particular, this initial catalogue had no standardized framework to judge the evidence of translation for individual ncORFs. Here, we present an expanded and refined catalog of the human reference annotation of ncORFs. By incorporating more datasets and by lifting constraints on ORF length and start-codon, we define a comprehensive set of 28,359 ncORFs that is nearly four times the size of the previous catalog. Furthermore, to aid users who wish to work with ncORFs with the strongest and most reproducible signals of translation, we utilized a data-driven framework (i.e. translation signature scores) to assess the accumulated evidence for any individual ncORF. Using this approach, we derive a subset of 7,888 ncORFs with translation evidence on par with canonical protein-coding genes, which we refer to as the Primary set. This set can serve as a reliable reference for downstream analyses and validation, with a particular emphasis on high quality. Overall, this update reflects continual community-driven efforts to make ncORFs accessible and actionable to the broader research public and further iterations of the catalog will continue to expand and refine this resource.

genomics↗

Detection of human unannotated microproteins by mass spectrometry-based proteomics: a community assessment

Thousands of short open reading frames (sORFs) are translated outside of annotated coding sequences. Recent studies have pioneered searching for sORF-encoded microproteins in mass spectrometry (MS)- based proteomics and peptidomics datasets. Here, we assessed literature-reported MS-based identifications of unannotated human proteins. We find that studies vary by three orders of magnitude in the number of unannotated proteins they report. Of nearly 10,000 reported sORF-encoded peptides, 96% were unique to a single study, and 12% mapped to annotated proteins or proteoforms. Manual curation of a benchmark dataset of 406 manually evaluated spectra from 204 sORF-encoded proteins revealed large variation in peptide-spectrum match (PSM) quality between studies, with immunopeptidomics studies generally reporting higher quality PSMs than conventional enzymatic digests of whole cell lysates. We estimate that 65% of predicted sORF-encoded protein detections in immunopeptidomics studies were supported by high-quality PSMs versus 7.8% in non-immunopeptidomics datasets. Our work stresses the need for standardized protocols and analysis workflows to guide future advancements in microprotein detection by MS towards uncovering how many human microproteins exist.

genomics↗

Thousands of human non-AUG extended proteoforms lack evidence of evolutionary selection among mammals

The synthesis of most proteins begins at AUG codons, yet a small number of non-AUG initiated proteoforms are also known. Here we used publicly available ribo-seq data with phylogenetic approaches to identify novel, previously uncharacterised non-AUG proteoforms. Unexpectedly we found that the number of non-AUG proteoforms identified with ribosome profiling data greatly exceeds those with strong phylogenetic support. We identified an association between proteoforms with alternative N-termini and multiple compartmentalisation of corresponding gene products. In dozens of genes N-terminal extensions encode localisation signals, including mitochondrial presequence and signal peptides. While the majority of non-AUG initiated proteoforms occur in addition to AUG initiated proteoforms, in few cases non-AUG appears to be the only start. This suggests that alternative compartmentalisation is not the only function of non-AUG initiation. Taking a conservative approach, we updated annotation of several genes in the latest GENCODE version in human and mouse where non-AUG initiated proteofoms are supported by both, ribosome profiling and phylogenetic evidence. Yet, the number of such extensions is likely much higher. Thousands of non-AUG proteoforms supported only by ribosome profiling suggest that they may evolve neutrally. Indeed, expression of some may not be consequential, i.e. when N-termini is processed or they have identical biochemical properties. Nonetheless they may contribute to immune response as antigen sources. It is also possible that some proteoforms accrued useful functions only recently and evolved under purifying selection in a narrow phylogenetic group. Thus, further characterisation is important for understanding their phenotypical and clinical significance.

genomics↗

Integrated data-driven reannotation of the Kluyveromyces marxianus genome reveals an expanded protein coding repertoire

The coding potential of the eukaryotic genome can be greatly expanded by the regulated use of mechanisms that generate more than one protein product from a gene. We combined techniques for mapping 5 and 3 ends of RNA transcripts with ribosome profiling to study the organisation of protein coding gene expression in the yeast Kluyveromyces marxianus. We uncovered over 1000 cases of novel proteoforms due to use of alternative transcription or translation start sites, identified 800 translated upstream open reading frames, observed surprising translation of antisense RNAs, and discovered a novel case of programmed ribosomal frameshifting. In some cases, features are conserved across yeast species, whereas others are species-specific. This offers new possibilities to explore the evolution of genomes and gene regulation in budding yeasts. Our analysis also enabled us to improve the genome annotation of K. marxianus by adding or correcting annotations of over 300 protein coding genes. The processed data has been made available on the GWIPS-viz and Trips-Viz browsers, thus providing an accurate data-driven annotation of transcripts and their protein coding regions along with quantitative information on their transcription and translation.

genomics↗

Development of a Ribosome Profiling Protocol to Study Translation in the yeast Kluyveromyces marxianus

Kluyveromyces marxianus is an interesting and important yeast because of particular traits like thermotolerance and rapid growth, and applications in food and industrial biotechnology. Knowing how K. marxianus responds and adapts to changing environments is important to achieve a full understanding of the its biology and to develop bioprocesses. For this, a full suite of omics tools to measure and compare global patterns of gene expression and protein synthesis is needed. Whereas transcriptome analysis by RNA-Seq quantifies mRNA abundance, ribosome profiling allows codon-resolution of translation on a genome-wide scale by deep sequencing of ribosome locations on mRNAs and is emerging as a valuable tool to study translation control of gene expression. We report here the development of a ribosome profiling method for K. marxianus and we make the procedure available as a step by step protocol. To aid in the analysis and sharing of ribosome profiling data, we also added the K. marxianus genome as well as transcriptome and ribosome profiling data to the publicly accessible GWIPS-viz and Trips-Viz browsers. Users are able to upload custom ribosome profiling and RNA-Seq data to both browsers, therefore allowing easy analysis and sharing of data. As many studies only focus on the use of RNA-Seq to study K. marxianus in different environments, the availability of ribosome profiling is a powerful addition to the K. marxianus toolbox. Graphical abstractDevelopment of a Ribosome Profiling protocol to study gene expression in the thermotolerant yeast Kluyveromyces marxianus. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/478964v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@1268da7org.highwire.dtl.DTLVardef@1ddff1org.highwire.dtl.DTLVardef@1597da4org.highwire.dtl.DTLVardef@47c2ae_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

A community-driven roadmap to advance research on translated open reading frames detected by Ribo-seq

Ribosome profiling (Ribo-seq) has catalyzed a paradigm shift in our understanding of the translational vocabulary of the human genome, discovering thousands of translated open reading frames (ORFs) within long non-coding RNAs and presumed untranslated regions of protein-coding genes. However, reference gene annotation projects have been circumspect in their incorporation of these ORFs due to uncertainties about their experimental reproducibility and physiological roles. Yet, it is indisputable that certain Ribo-seq ORFs make stable proteins, others mediate gene regulation, and many have medical implications. Ultimately, the absence of standardized ORF annotation has created a circular problem: while Ribo-seq ORFs remain unannotated by reference biological databases, this lack of characterisation will thwart research efforts examining their roles. Here, we outline the initial stages of a community-led effort supported by GENCODE / Ensembl, HGNC and UniProt to produce a consolidated catalog of human Ribo-seq ORFs.

genomics↗

Unprecedentedly efficient CUG initiation of an overlapping reading frame in POLG mRNA yields novel protein POLGARF

While near cognate codons are frequently used for translation initiation in eukaryotes, their efficiencies are usually low (<10% compared to an AUG in optimal context). Here we describe a rare case of highly efficient near cognate initiation. A CUG triplet located in the 5 leader of POLG mRNA initiates almost as efficiently (~60-70%) as an AUG in optimal context. This CUG directs translation of a conserved 260 triplet-long overlapping ORF, which we call POLGARF (POLG Alternative Reading Frame). Translation of a short upstream ORF 5 of this CUG governs the ratio between DNA polymerase and POLGARF produced from a single POLG mRNA. Functional investigation of POLGARF points to extracellular signalling. While unprocessed POLGARF resides in the nucleoli together with its interacting partner C1QBP, serum stimulation results in rapid secretion of POLGARF C-terminal fragment. Phylogenetic analysis shows that POLGARF evolved ~160 million years ago due to an MIR transposition into the 5 leader sequence of the mammalian POLG gene which became fixed in placental mammals. The discovery of POLGARF unveils a previously undescribed mechanism of de novo protein-coding gene evolution. Significance StatementIn this study, we describe previously unknown mechanism of de novo protein-coding gene evolution. We show that the POLG gene, which encodes the catalytic subunit of mitochondrial DNA polymerase, is in fact a dual coding gene. Ribosome profiling, phylogenetic conservation, and reporter construct analyses all demonstrate that POLG mRNA possesses a conserved CUG codon which serves as a start of translation for an exceptionally long overlapping open reading frame (260 codons in human) present in all placental mammals. We called the protein encoded in this alternative reading frame POLGARF. We provide evidence that the evolution of POLGARF was incepted upon insertion of an MIR transposable element of the SINE family.

molecular biology↗

Selection shapes synonymous stop codon use in mammals

Phylogenetic models of the evolution of protein-coding sequences can provide insights into the selection pressures that have shaped them. In the application of these models synonymous nucleotide substitutions, which do not alter the encoded amino acid, are often assumed to have limited functional consequences and used as a proxy for the neutral rate of evolution. The ratio of nonsynonymous to synonymous substitution rates is then used to categorize the selective regime that applies to the protein (e.g. purifying selection, neutral evolution, diversifying selection). Here, we extend these models to explore the extent of purifying selection acting on substitutions between synonymous stop codons. Using a large collection of coding sequence alignments we estimate that a high proportion (approximately 57%) of mammalian genes are affected by selection acting on stop codon preference. This proportion varies substantially by codon, with UGA stop codons far more likely to be conserved. Genes with evidence of selection acting on synonymous stop codons have distinctive characteristics, compared to unconserved genes with the same stop codon, including enrichment for specific functional properties. Notably, genes with conserved stop codons have longer 3 UTRs and are associated with shorter mRNA half-life than other genes. The coding regions of these genes are also much more likely to be under strong purifying selection pressure. Our results suggest that the preference for UGA stop codons found in many multicellular eukaryotes is selective rather than mutational in origin.

evolutionary biology↗

Retapamulin-assisted ribosome profiling reveals the alternative bacterial proteome

The use of alternative translation initiation sites enables production of more than one protein from a single gene, thereby expanding cellular proteome. Although several such examples have been serendipitously found in bacteria, genome-wide mapping of alternative translation start sites has been unattainable. We found that the antibiotic retapamulin specifically arrests initiating ribosomes at start codons of the genes. Retapamulin-enhanced Ribo-seq analysis (Ribo-RET) not only allowed mapping of conventional initiation sites at the beginning of the genes but, strikingly, it also revealed putative internal start sites in a number of Escherichia coli genes. Experiments demonstrated that the internal start codons can be recognized by the ribosomes and direct translation initiation in vitro and in vivo. Proteins, whose synthesis is initiated at an internal in-frame and out-of-frame start sites, can be functionally important and contribute to the alternative bacterial proteome. The internal start sites my also play regulatory roles in gene expression.

molecular biology↗

TASEP modelling provides a parsimonious explanation for the ability of a single uORF to upregulate downstream ORF translation during the Integrated Stress Response

Translation initiation is the rate limiting step of protein synthesis that is downregulated during Integrated Stress Response (ISR). In our previous work (Andreev, OConnor et al 2015), we demonstrated that most human mRNAs resistant to this inhibition possess translated uORFs and in some cases a single uORF is sufficient for the resistance. Here we developed a computational model of Initiation Complexes Interference with Elongating Ribosomes (ICIER) to gain insight into the mechanism. We explored the relationship between the flux of scanning ribosomes upstream and downstream of a single uORF depending on uORF features. Paradoxically our analysis predicts that reducing ribosome flux upstream of certain uORFs increases initiation downstream. The model reveals derepression of downstream translation as general mechanism of uORF-mediated stress resistance. It predicts that stress resistance can be achieved with long or slowly translated uORFs that do not favor high levels of translation re-initiation and start with non-leaky initiators.

bioinformatics↗