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Tierney JAS, Świrski MI, Tjeldnes H, Kiran AM, Carancini G, Kiniry SJ, Michel AM, Kufel J, Valen E, Baranov PV. RiboSeq.Org: an integrated suite of resources for ribosome profiling data analysis and visualization. Nucleic Acids Res 2025; 53:D268-D274. [PMID: 39540432 PMCID: PMC11701704 DOI: 10.1093/nar/gkae1020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2024] [Revised: 10/11/2024] [Accepted: 10/16/2024] [Indexed: 11/16/2024] Open
Abstract
Ribosome profiling (Ribo-Seq) has revolutionised our understanding of translation, but the increasing complexity and volume of Ribo-Seq data present challenges for its reuse. Here, we formally introduce RiboSeq.Org, an integrated suite of resources designed to facilitate Ribo-Seq data analysis and visualisation within a web browser. RiboSeq.Org comprises several interconnected tools: GWIPS-viz for genome-wide visualisation, Trips-Viz for transcriptome-centric analysis, RiboGalaxy for data processing and the newly developed RiboSeq data portal (RDP) for centralised dataset identification and access. The RDP currently hosts preprocessed datasets corresponding to 14840 sequence libraries (samples) from 969 studies across 96 species, in various file formats along with standardised metadata. RiboSeq.Org addresses key challenges in Ribo-Seq data reuse through standardised sample preprocessing, semi-automated metadata curation and programmatic information access via a REST API and command-line utilities. RiboSeq.Org enhances the accessibility and utility of public Ribo-Seq data, enabling researchers to gain new insights into translational regulation and protein synthesis across diverse organisms and conditions. By providing these integrated, user-friendly resources, RiboSeq.Org aims to lower the barrier to reproducible research in the field of translatomics and promote more efficient utilisation of the wealth of available Ribo-Seq data.
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Affiliation(s)
- Jack A S Tierney
- School of Biochemistry and Cell Biology, University College Cork, Western Rd, Cork, T12 CY82, Ireland
- SFI CRT in Genomics Data Science, University of Galway, University Rd, Galway, H91 TK33, Ireland
| | - Michał I Świrski
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, ul. Pawińskiego 5A, Warsaw, 02-106, Poland
| | - Håkon Tjeldnes
- School of Biochemistry and Cell Biology, University College Cork, Western Rd, Cork, T12 CY82, Ireland
- Computational Biology Unit, Department of Informatics, University of Bergen, Thormøhlensgate Bergen, 55N-5008, Norway
| | - Anmol M Kiran
- School of Biochemistry and Cell Biology, University College Cork, Western Rd, Cork, T12 CY82, Ireland
| | - Gionmattia Carancini
- School of Biochemistry and Cell Biology, University College Cork, Western Rd, Cork, T12 CY82, Ireland
- SFI CRT in Genomics Data Science, University of Galway, University Rd, Galway, H91 TK33, Ireland
| | - Stephen J Kiniry
- EIRNA Bio, Food Science and Technology Building, 1 College Rd, Cork, T12 Y337, Ireland
| | - Audrey M Michel
- EIRNA Bio, Food Science and Technology Building, 1 College Rd, Cork, T12 Y337, Ireland
| | - Joanna Kufel
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, ul. Pawińskiego 5A, Warsaw, 02-106, Poland
| | - Eivind Valen
- Computational Biology Unit, Department of Informatics, University of Bergen, Thormøhlensgate Bergen, 55N-5008, Norway
- Department of Biosciences, University of Oslo, Kristine Bonnevies hus, Blindernveien 31, 0731 Oslo, Norway
| | - Pavel V Baranov
- School of Biochemistry and Cell Biology, University College Cork, Western Rd, Cork, T12 CY82, Ireland
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Saleh RO, Alkhafaji AT, Mohammed JS, Bansal P, Kaur H, Ahmad I, Hjazi A, Mohammed IH, Jawad MA, Zwamel AH. LncRNA NEAT1 in the pathogenesis of liver-related diseases. Cell Biochem Funct 2024; 42:e4006. [PMID: 38622913 DOI: 10.1002/cbf.4006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 03/20/2024] [Accepted: 03/27/2024] [Indexed: 04/17/2024]
Abstract
Nuclear paraspeckle assembly transcript 1 (NEAT1) is a long noncoding RNA (lncRNA) that is widely expressed in a variety of mammalian cell types. Altered expression levels of the lncRNA NEAT1 have been reported in liver-related disorders including cancer, fatty liver disease, liver fibrosis, viral hepatitis, and hepatic ischemia. lncRNA NEAT1 mostly acts as a competing endogenous RNA (ceRNA) to sponge various miRNAs (miRs) to regulate different functions. In regard to hepatic cancers, the elevated expression of NEAT1 has been reported to have a relation with the proliferation, migration, angiogenesis, apoptosis, as well as epithelial-mesenchymal transition (EMT) of cancer cells. Furthermore, NEAT1 upregulation has contributed to the pathogenesis of other liver diseases such as fibrosis. In this review, we summarize and discuss the molecular mechanisms by which NEAT1 contributes to liver-related disorders including acute liver failure, nonalcoholic fatty liver disease (NAFLD), liver fibrosis, and liver carcinoma, providing novel insights and introducing NEAT1 as a potential therapeutic target in these diseases.
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Affiliation(s)
- Raed Obaid Saleh
- Department of Medical Laboratory Techniques, Al-Maarif University College, Al-Anbar, Iraq
| | | | | | - Pooja Bansal
- Department of Biotechnology and Genetics, Jain (Deemed-to-be) University, Bengaluru, Karnataka, India
- Department of Allied Healthcare and Sciences, Vivekananda Global University, Jaipur, Rajasthan, India
| | - Harpreet Kaur
- School of Basic & Applied Sciences, Shobhit University, Gangoh, Uttar Pradesh, India
- Department of Health & Allied Sciences, Arka Jain University, Jamshedpur, Jharkhand, India
| | - Irfan Ahmad
- Department of Clinical Laboratory Sciences, College of Applied Medical Science, King Khalid University, Abha, Saudi Arabia
| | - Ahmed Hjazi
- Department of Medical Laboratory, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | | | - Mohammed Abed Jawad
- Department of Medical Laboratories Technology, Al-Nisour University College, Baghdad, Iraq
| | - Ahmed Hussein Zwamel
- Medical laboratory technique college, the Islamic University, Najaf, Iraq
- Medical laboratory technique college, the Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
- Medical laboratory technique college, the Islamic University of Babylon, Babylon, Iraq
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Salido-Guadarrama I, Romero-Cordoba SL, Rueda-Zarazua B. Multi-Omics Mining of lncRNAs with Biological and Clinical Relevance in Cancer. Int J Mol Sci 2023; 24:16600. [PMID: 38068923 PMCID: PMC10706612 DOI: 10.3390/ijms242316600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/14/2023] [Accepted: 11/15/2023] [Indexed: 12/18/2023] Open
Abstract
In this review, we provide a general overview of the current panorama of mining strategies for multi-omics data to investigate lncRNAs with an actual or potential role as biological markers in cancer. Several multi-omics studies focusing on lncRNAs have been performed in the past with varying scopes. Nevertheless, many questions remain regarding the pragmatic application of different molecular technologies and bioinformatics algorithms for mining multi-omics data. Here, we attempt to address some of the less discussed aspects of the practical applications using different study designs for incorporating bioinformatics and statistical analyses of multi-omics data. Finally, we discuss the potential improvements and new paradigms aimed at unraveling the role and utility of lncRNAs in cancer and their potential use as molecular markers for cancer diagnosis and outcome prediction.
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Affiliation(s)
- Ivan Salido-Guadarrama
- Departamento de Bioinformatìca y Análisis Estadísticos, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City 11000, Mexico
| | - Sandra L. Romero-Cordoba
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico;
- Biochemistry Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Bertha Rueda-Zarazua
- Posgrado en Ciencias Biológicas, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico;
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Antonov IV, O’Loughlin S, Gorohovski AN, O’Connor PB, Baranov PV, Atkins JF. Streptomyces rare codon UUA: from features associated with 2 adpA related locations to candidate phage regulatory translational bypassing. RNA Biol 2023; 20:926-942. [PMID: 37968863 PMCID: PMC10732093 DOI: 10.1080/15476286.2023.2270812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 10/02/2023] [Indexed: 11/17/2023] Open
Abstract
In Streptomyces species, the cell cycle involves a switch from an early and vegetative state to a later phase where secondary products including antibiotics are synthesized, aerial hyphae form and sporulation occurs. AdpA, which has two domains, activates the expression of numerous genes involved in the switch from the vegetative growth phase. The adpA mRNA of many Streptomyces species has a UUA codon in a linker region between 5' sequence encoding one domain and 3' sequence encoding its other and C-terminal domain. UUA codons are exceptionally rare in Streptomyces, and its functional cognate tRNA is not present in a fully modified and acylated form, in the early and vegetative phase of the cell cycle though it is aminoacylated later. Here, we report candidate recoding signals that may influence decoding of the linker region UUA. Additionally, a short ORF 5' of the main ORF has been identified with a GUG at, or near, its 5' end and an in-frame UUA near its 3' end. The latter is commonly 5 nucleotides 5' of the main ORF start. Ribosome profiling data show translation of that 5' region. Ten years ago, UUA-mediated translational bypassing was proposed as a sensor by a Streptomyces phage of its host's cell cycle stage and an effector of its lytic/lysogeny switch. We provide the first experimental evidence supportive of this proposal.
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Affiliation(s)
- Ivan V. Antonov
- Russian Academy of Science, Institute of Bioengineering, Research Center of Biotechnology, Moscow, Russia
- Laboratory of Bioinformatics, Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia
- School of Biochemistry and Cell Biology, University College Cork, Cork, Ireland
| | - Sinéad O’Loughlin
- School of Biochemistry and Cell Biology, University College Cork, Cork, Ireland
| | - Alessandro N. Gorohovski
- Russian Academy of Science, Institute of Bioengineering, Research Center of Biotechnology, Moscow, Russia
- Structural Biology and BioComputing Program, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | | | - Pavel V. Baranov
- School of Biochemistry and Cell Biology, University College Cork, Cork, Ireland
| | - John F. Atkins
- School of Biochemistry and Cell Biology, University College Cork, Cork, Ireland
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Translation and natural selection of micropeptides from long non-canonical RNAs. Nat Commun 2022; 13:6515. [PMID: 36316320 PMCID: PMC9622821 DOI: 10.1038/s41467-022-34094-y] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 10/13/2022] [Indexed: 12/25/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides but lacking canonical coding sequences. Apparently unable to produce peptides, lncRNA function seems to rely only on RNA expression, sequence and structure. Here, we exhaustively detect in-vivo translation of small open reading frames (small ORFs) within lncRNAs using Ribosomal profiling during Drosophila melanogaster embryogenesis. We show that around 30% of lncRNAs contain small ORFs engaged by ribosomes, leading to regulated translation of 100 to 300 micropeptides. We identify lncRNA features that favour translation, such as cistronicity, Kozak sequences, and conservation. For the latter, we develop a bioinformatics pipeline to detect small ORF homologues, and reveal evidence of natural selection favouring the conservation of micropeptide sequence and function across evolution. Our results expand the repertoire of lncRNA biochemical functions, and suggest that lncRNAs give rise to novel coding genes throughout evolution. Since most lncRNAs contain small ORFs with as yet unknown translation potential, we propose to rename them "long non-canonical RNAs".
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