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Dive into the research topics where Pavel V. Baranov is active.

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Featured researches published by Pavel V. Baranov.


Gene | 2002

Recoding: translational bifurcations in gene expression.

Pavel V. Baranov; Raymond F. Gesteland; John F. Atkins

During the expression of a certain genes standard decoding is over-ridden in a site or mRNA specific manner. This recoding occurs in response to special signals in mRNA and probably occurs in all organisms. This review deals with the function and distribution of recoding with a focus on the ribosomal frameshifting used for gene expression in bacteria.


Bioinformatics | 2010

DARNED: a DAtabase of RNa EDiting in humans

Anmol M. Kiran; Pavel V. Baranov

MOTIVATION RNA editing is a phenomenon, which is responsible for the alteration of particular nucleotides in RNA sequences relative to their genomic templates. Recently, a large number of RNA editing instances in humans have been identified using bioinformatic screens and high-throughput experimental investigations utilizing next-generation sequencing technologies. However, the available data on RNA editing are not uniform and difficult to access. RESULTS Here, we describe a new database DARNED (DAtabase of RNa EDiting) that provides centralized access to available published data related to RNA editing. RNA editing locations are mapped on the reference human genome. The current release of the database contains information on approximately 42 000 human genome coordinates corresponding to RNA locations that undergo RNA editing, mostly involving adenosine-to-inosine (A-to-I) substitutions. The data can be queried using a range of genomic coordinates, their corresponding functional localization in RNA molecules [Exons, Introns, CoDing Sequence (CDS) and UnTranslated Regions (UTRs)] and information regarding tissue/organ/cell sources where RNA editing has been observed. It is also possible to obtain RNA editing information for a specific gene or an RNA molecule using corresponding accession numbers. Search results provide information on the number of expressed sequence tags (ESTs) supporting edited and genomic bases, functional localization of RNA editing and existence of known single nucleotide polymorphisms (SNPs). Editing data can be explored in UCSC and Ensembl genome browsers, in conjunction with additional data provided by these popular genome browsers. DARNED has been designed for researchers seeking information on RNA editing and for the developers of novel algorithms for its prediction. AVAILABILITY DARNED is accessible at http://darned.ucc.ie


Nucleic Acids Research | 2011

Identification of evolutionarily conserved non-AUG-initiated N-terminal extensions in human coding sequences

Ivaylo Ivanov; Andrew E. Firth; Audrey M. Michel; John F. Atkins; Pavel V. Baranov

In eukaryotes, it is generally assumed that translation initiation occurs at the AUG codon closest to the messenger RNA 5′ cap. However, in certain cases, initiation can occur at codons differing from AUG by a single nucleotide, especially the codons CUG, UUG, GUG, ACG, AUA and AUU. While non-AUG initiation has been experimentally verified for a handful of human genes, the full extent to which this phenomenon is utilized—both for increased coding capacity and potentially also for novel regulatory mechanisms—remains unclear. To address this issue, and hence to improve the quality of existing coding sequence annotations, we developed a methodology based on phylogenetic analysis of predicted 5′ untranslated regions from orthologous genes. We use evolutionary signatures of protein-coding sequences as an indicator of translation initiation upstream of annotated coding sequences. Our search identified novel conserved potential non-AUG-initiated N-terminal extensions in 42 human genes including VANGL2, FGFR1, KCNN4, TRPV6, HDGF, CITED2, EIF4G3 and NTF3, and also affirmed the conservation of known non-AUG-initiated extensions in 17 other genes. In several instances, we have been able to obtain independent experimental evidence of the expression of non-AUG-initiated products from the previously published literature and ribosome profiling data.


Genome Research | 2012

Observation of dually decoded regions of the human genome using ribosome profiling data

Audrey M. Michel; Kingshuk Roy Choudhury; Andrew E. Firth; Nicholas T. Ingolia; John F. Atkins; Pavel V. Baranov

The recently developed ribosome profiling technique (Ribo-Seq) allows mapping of the locations of translating ribosomes on mRNAs with subcodon precision. When ribosome protected fragments (RPFs) are aligned to mRNA, a characteristic triplet periodicity pattern is revealed. We utilized the triplet periodicity of RPFs to develop a computational method for detecting transitions between reading frames that occur during programmed ribosomal frameshifting or in dual coding regions where the same nucleotide sequence codes for multiple proteins in different reading frames. Application of this method to ribosome profiling data obtained for human cells allowed us to detect several human genes where the same genomic segment is translated in more than one reading frame (from different transcripts as well as from the same mRNA) and revealed the translation of hitherto unpredicted coding open reading frames.


eLife | 2015

Translation of 5′ leaders is pervasive in genes resistant to eIF2 repression

Dmitry E. Andreev; Patrick B. F. O'Connor; Ciara Fahey; Elaine Kenny; Ilya M. Terenin; Sergey E. Dmitriev; Paul Cormican; Derek W. Morris; Ivan N. Shatsky; Pavel V. Baranov

Eukaryotic cells rapidly reduce protein synthesis in response to various stress conditions. This can be achieved by the phosphorylation-mediated inactivation of a key translation initiation factor, eukaryotic initiation factor 2 (eIF2). However, the persistent translation of certain mRNAs is required for deployment of an adequate stress response. We carried out ribosome profiling of cultured human cells under conditions of severe stress induced with sodium arsenite. Although this led to a 5.4-fold general translational repression, the protein coding open reading frames (ORFs) of certain individual mRNAs exhibited resistance to the inhibition. Nearly all resistant transcripts possess at least one efficiently translated upstream open reading frame (uORF) that represses translation of the main coding ORF under normal conditions. Site-specific mutagenesis of two identified stress resistant mRNAs (PPP1R15B and IFRD1) demonstrated that a single uORF is sufficient for eIF2-mediated translation control in both cases. Phylogenetic analysis suggests that at least two regulatory uORFs (namely, in SLC35A4 and MIEF1) encode functional protein products. DOI: http://dx.doi.org/10.7554/eLife.03971.001


Nucleic Acids Research | 2014

GWIPS-viz: development of a ribo-seq genome browser.

Audrey M. Michel; Gearoid Fox; Anmol M. Kiran; Christof De Bo; Patrick B. F. O’Connor; Stephen M. Heaphy; James P.A. Mullan; Claire A. Donohue; Pavel V. Baranov

We describe the development of GWIPS-viz (http://gwips.ucc.ie), an online genome browser for viewing ribosome profiling data. Ribosome profiling (ribo-seq) is a recently developed technique that provides genome-wide information on protein synthesis (GWIPS) in vivo. It is based on the deep sequencing of ribosome-protected messenger RNA (mRNA) fragments, which allows the ribosome density along all mRNA transcripts present in the cell to be quantified. Since its inception, ribo-seq has been carried out in a number of eukaryotic and prokaryotic organisms. Owing to the increasing interest in ribo-seq, there is a pertinent demand for a dedicated ribo-seq genome browser. GWIPS-viz is based on The University of California Santa Cruz (UCSC) Genome Browser. Ribo-seq tracks, coupled with mRNA-seq tracks, are currently available for several genomes: human, mouse, zebrafish, nematode, yeast, bacteria (Escherichia coli K12, Bacillus subtilis), human cytomegalovirus and bacteriophage lambda. Our objective is to continue incorporating published ribo-seq data sets so that the wider community can readily view ribosome profiling information from multiple studies without the need to carry out computational processing.


The EMBO Journal | 2003

Sequences that direct significant levels of frameshifting are frequent in coding regions of Escherichia coli

Olga L. Gurvich; Pavel V. Baranov; Jiadong Zhou; Andrew W. Hammer; Raymond F. Gesteland; John F. Atkins

It is generally believed that significant ribosomal frameshifting during translation does not occur without a functional purpose. The distribution of two frameshift‐prone sequences, A_AAA_AAG and CCC_TGA, in coding regions of Escherichia coli has been analyzed. Although a moderate level of selection against the first sequence is evident, 68 genes contain A_AAA_AAG and 19 contain CCC_TGA. The majority of those tested in their genomic context showed >1% frameshifting. Comparative sequence analysis was employed to assess a potential biological role for frameshifting in decoding these genes. Two new candidates, in pheL and ydaY, for utilized frameshifting have been identified in addition to those previously known in dnaX and nine insertion sequence elements. For the majority of the shift‐prone sequences no functional role can be attributed to them, and the frameshifting is likely erroneous. However, none of frameshift sequences is in the 306 most highly expressed genes. The unexpected conclusion is that moderate frameshifting during expression of at least some other genes is not sufficiently harmful for cells to trigger strong negative evolutionary pressure.


Virology | 2005

Programmed ribosomal frameshifting in decoding the SARS-CoV genome

Pavel V. Baranov; Clark M. Henderson; Christine B. Anderson; Raymond F. Gesteland; John F. Atkins; Michael T. Howard

Abstract Programmed ribosomal frameshifting is an essential mechanism used for the expression of orf1b in coronaviruses. Comparative analysis of the frameshift region reveals a universal shift site U_UUA_AAC, followed by a predicted downstream RNA structure in the form of either a pseudoknot or kissing stem loops. Frameshifting in SARS-CoV has been characterized in cultured mammalian cells using a dual luciferase reporter system and mass spectrometry. Mutagenic analysis of the SARS-CoV shift site and mass spectrometry of an affinity tagged frameshift product confirmed tandem tRNA slippage on the sequence U_UUA_AAC. Analysis of the downstream pseudoknot stimulator of frameshifting in SARS-CoV shows that a proposed RNA secondary structure in loop II and two unpaired nucleotides at the stem I–stem II junction in SARS-CoV are important for frameshift stimulation. These results demonstrate key sequences required for efficient frameshifting, and the utility of mass spectrometry to study ribosomal frameshifting.


EMBO Reports | 2002

Release factor 2 frameshifting sites in different bacteria.

Pavel V. Baranov; Raymond F. Gesteland; John F. Atkins

The mRNA encoding Escherichia coli polypeptide chain release factor 2 (RF2) has two partially overlapping reading frames. Synthesis of RF2 involves ribosomes shifting to the +1 reading frame at the end of the first open reading frame (ORF). Frameshifting serves an autoregulatory function. The RF2 gene sequences from the 86 additional bacterial species now available have been analyzed. Thirty percent of them have a single ORF and their expression does not require frameshifting. In the ∼70% that utilize frameshifting, the sequence cassette responsible for frameshifting is highly conserved. In the E. coli RF2 gene, an internal Shine–Dalgarno (SD) sequence just before the shift site was shown earlier to be important for frameshifting. Mutagenic data presented here show that the spacer region between the SD sequence and the shift site influences frameshifting, and possible mechanisms are discussed. Internal translation initiation occurs at the shift site, but any functional role is obscure.


Nucleic Acids Research | 2014

Evidence of efficient stop codon readthrough in four mammalian genes

Gary Loughran; Ming Yuan Chou; Ivaylo Ivanov; Irwin Jungreis; Manolis Kellis; Anmol M. Kiran; Pavel V. Baranov; John F. Atkins

Stop codon readthrough is used extensively by viruses to expand their gene expression. Until recent discoveries in Drosophila, only a very limited number of readthrough cases in chromosomal genes had been reported. Analysis of conserved protein coding signatures that extend beyond annotated stop codons identified potential stop codon readthrough of four mammalian genes. Here we use a modified targeted bioinformatic approach to identify a further three mammalian readthrough candidates. All seven genes were tested experimentally using reporter constructs transfected into HEK-293T cells. Four displayed efficient stop codon readthrough, and these have UGA immediately followed by CUAG. Comparative genomic analysis revealed that in the four readthrough candidates containing UGA-CUAG, this motif is conserved not only in mammals but throughout vertebrates with the first six of the seven nucleotides being universally conserved. The importance of the CUAG motif was confirmed using a systematic mutagenesis approach. One gene, OPRL1, encoding an opiate receptor, displayed extremely efficient levels of readthrough (∼31%) in HEK-293T cells. Signals both 5′ and 3′ of the OPRL1 stop codon contribute to this high level of readthrough. The sequence UGA-CUA alone can support 1.5% readthrough, underlying its importance.

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