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Eggenhofer F, Höner Zu Siederdissen C. Evolutionary Structure Conservation and Covariance Scores. Methods Mol Biol 2024; 2726:255-284. [PMID: 38780735 DOI: 10.1007/978-1-0716-3519-3_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
Effective homology search for non-coding RNAs is frequently not possible via sequence similarity alone. Current methods leverage evolutionary information like structure conservation or covariance scores to identify homologs in organisms that are phylogenetically more distant. In this chapter, we introduce the theoretical background of evolutionary structure conservation and covariance score, and we show hands-on how current methods in the field are applied on example datasets.
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Affiliation(s)
- Florian Eggenhofer
- Bioinformatics Group, Department of Computer Science University of Freiburg, Freiburg, Germany
| | - Christian Höner Zu Siederdissen
- Bioinformatics Group, Department of Computer Science, University of Leipzig, Leipzig, Germany.
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany.
- Bioinformatics/High-Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, Germany.
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Rundberg Nilsson AJ, Xian H, Shalapour S, Cammenga J, Karin M. IRF1 regulates self-renewal and stress responsiveness to support hematopoietic stem cell maintenance. SCIENCE ADVANCES 2023; 9:eadg5391. [PMID: 37889967 PMCID: PMC10610924 DOI: 10.1126/sciadv.adg5391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 09/27/2023] [Indexed: 10/29/2023]
Abstract
Hematopoietic stem cells (HSCs) are tightly controlled to maintain a balance between blood cell production and self-renewal. While inflammation-related signaling is a critical regulator of HSC activity, the underlying mechanisms and the precise functions of specific factors under steady-state and stress conditions remain incompletely understood. We investigated the role of interferon regulatory factor 1 (IRF1), a transcription factor that is affected by multiple inflammatory stimuli, in HSC regulation. Our findings demonstrate that the loss of IRF1 from mouse HSCs significantly impairs self-renewal, increases stress-induced proliferation, and confers resistance to apoptosis. In addition, given the frequent abnormal expression of IRF1 in leukemia, we explored the potential of IRF1 expression level as a stratification marker for human acute myeloid leukemia. We show that IRF1-based stratification identifies distinct cancer-related signatures in patient subgroups. These findings establish IRF1 as a pivotal HSC controller and provide previously unknown insights into HSC regulation, with potential implications to IRF1 functions in the context of leukemia.
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Affiliation(s)
- Alexandra J. S. Rundberg Nilsson
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Division of Molecular Medicine and Gene Therapy, Institution for Laboratory Medicine, Medical Faculty, Lund University, Lund, Sweden
- Lund Stem Cell Center, Medical Faculty, Lund University, Lund, Sweden
| | - Hongxu Xian
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Shabnam Shalapour
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jörg Cammenga
- Division of Molecular Medicine and Gene Therapy, Institution for Laboratory Medicine, Medical Faculty, Lund University, Lund, Sweden
- Lund Stem Cell Center, Medical Faculty, Lund University, Lund, Sweden
| | - Michael Karin
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA, USA
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3
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Agboli E, Schulze J, Jansen S, Cadar D, Sreenu VB, Leggewie M, Altinli M, Badusche M, Jöst H, Börstler J, Schmidt-Chanasit J, Schnettler E. Interaction of Mesonivirus and Negevirus with arboviruses and the RNAi response in Culex tarsalis-derived cells. Parasit Vectors 2023; 16:361. [PMID: 37833743 PMCID: PMC10576325 DOI: 10.1186/s13071-023-05985-w] [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: 04/03/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Mosquito-specific viruses (MSVs) comprise a variety of different virus families, some of which are known to interfere with infections of medically important arboviruses. Viruses belonging to the family Mesoniviridae or taxon Negevirus harbor several insect-specific viruses, including MSVs, which are known for their wide geographical distribution and extensive host ranges. Although these viruses are regularly identified in mosquitoes all over the world, their presence in mosquitoes in Germany had not yet been reported. METHODS A mix of three MSVs (Yichang virus [Mesoniviridae] and two negeviruses [Daeseongdong virus and Dezidougou virus]) in a sample that contained a pool of Coquillettidia richiardii mosquitoes collected in Germany was used to investigate the interaction of these viruses with different arboviruses in Culex-derived cells. In addition, small RNA sequencing and analysis of different mosquito-derived cells infected with this MSV mix were performed. RESULTS A strain of Yichang virus (Mesoniviridae) and two negeviruses (Daeseongdong virus and Dezidougou virus) were identified in the Cq. richiardii mosquitoes sampled in Germany, expanding current knowledge of their circulation in central Europe. Infection of mosquito-derived cells with these three viruses revealed that they are targeted by the small interfering RNA (siRNA) pathway. In Culex-derived cells, co-infection by these three viruses had varying effects on the representative arboviruses from different virus families (Togaviridae: Semliki forest virus [SFV]; Bunyavirales: Bunyamwera orthobunyavirus [BUNV]; or Flaviviridae: Usutu virus [USUV]). Specifically, persistent MSV co-infection inhibited BUNV infection, as well as USUV infection (but the latter only at specific time points). However, the impact on SFV infection was only noticeable at low multiplicity of infection (MOI 0.1) and at specific time points in combination with the infection status. CONCLUSIONS Taken together, these results are important findings that will lead to a better understanding of the complex interactions of MSVs, mosquitoes and arboviruses.
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Affiliation(s)
- Eric Agboli
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany
- School of Basic and Biomedical Sciences, Department of Biomedical Sciences, University of Health and Allied Sciences, PMB 31, Ho, Ghana
| | - Jonny Schulze
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany
| | - Stephanie Jansen
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany
- Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, 20148, Hamburg, Germany
| | - Daniel Cadar
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany
| | | | - Mayke Leggewie
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany
| | - Mine Altinli
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany
| | - Marlis Badusche
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany
| | - Hanna Jöst
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany
| | - Jessica Börstler
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany
| | - Jonas Schmidt-Chanasit
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany
- Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, 20148, Hamburg, Germany
| | - Esther Schnettler
- Bernhard-Nocht-Institute for Tropical Medicine, 20359, Hamburg, Germany.
- Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, 20148, Hamburg, Germany.
- German Center for Infection Research (DZIF), Partner Site Hamburg-Luebeck-Borstel-Riems, Hamburg, Germany.
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Rundberg Nilsson A, Xian H, Shalapour S, Cammenga J, Karin M. IRF1 regulates self-renewal and stress-responsiveness to support hematopoietic stem cell maintenance. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.24.525321. [PMID: 36747722 PMCID: PMC9900858 DOI: 10.1101/2023.01.24.525321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Inflammatory mediators induce emergency myelopoiesis and cycling of adult hematopoietic stem cells (HSCs) through incompletely understood mechanisms. To suppress the unwanted effects of inflammation and preserve its beneficial outcomes, the mechanisms by which inflammation affects hematopoiesis need to be fully elucidated. Rather than focusing on specific inflammatory stimuli, we here investigated the role of transcription factor Interferon (IFN) regulatory factor 1 (IRF1), which receives input from several inflammatory signaling pathways. We identify IRF1 as a master HSC regulator. IRF1 loss impairs HSC self-renewal, increases stress-induced cell cycle activation, and confers apoptosis resistance. Transcriptomic analysis revealed an aged, inflammatory signature devoid of IFN signaling with reduced megakaryocytic/erythroid priming and antigen presentation in IRF1-deficient HSCs. Finally, we conducted IRF1-based AML patient stratification to identify groups with distinct proliferative, survival and differentiation features, overlapping with our murine HSC results. Our findings position IRF1 as a pivotal regulator of HSC preservation and stress-induced responses.
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Affiliation(s)
- Alexandra Rundberg Nilsson
- Department of Pharmacology, Laboratory of Gene Regulation and
Signal Transduction, University of California San Diego (UCSD), United States
- Medical Faculty, Division of Molecular Medicine and Gene Therapy,
Institution for Laboratory Medicine, Lund University, Sweden
- Medical Faculty, Lund Stem Cell Center, Lund University,
Sweden
- Lead contact
| | - Hongxu Xian
- Department of Pharmacology, Laboratory of Gene Regulation and
Signal Transduction, University of California San Diego (UCSD), United States
| | - Shabnam Shalapour
- Department of Pharmacology, Laboratory of Gene Regulation and
Signal Transduction, University of California San Diego (UCSD), United States
- Department of Cancer Biology, The University of Texas MD Anderson
Cancer Center, United States
| | - Jörg Cammenga
- Medical Faculty, Division of Molecular Medicine and Gene Therapy,
Institution for Laboratory Medicine, Lund University, Sweden
- Medical Faculty, Lund Stem Cell Center, Lund University,
Sweden
| | - Michael Karin
- Department of Pharmacology, Laboratory of Gene Regulation and
Signal Transduction, University of California San Diego (UCSD), United States
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Antiviral RNAi Response in Culex quinquefasciatus-Derived HSU Cells. Viruses 2023; 15:v15020436. [PMID: 36851650 PMCID: PMC9968050 DOI: 10.3390/v15020436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 01/20/2023] [Accepted: 01/31/2023] [Indexed: 02/09/2023] Open
Abstract
Culex spp. mosquitoes are important vectors of viruses, such as West Nile virus, Eastern equine encephalitis virus and Rift valley fever virus. However, their interactions with innate antiviral immunity, especially RNA interference (RNAi), are not well known. Most research on RNAi pathways in mosquitoes is focused on the tropical vector mosquito Aedes aegypti. Here, we investigated the production of arbovirus-specific small RNAs in Cx. quinquefasciatus-derived HSU cells. Furthermore, by silencing RNAi-related proteins, we investigated the antiviral role of these proteins for two different arboviruses: Semliki Forest virus (SFV) and Bunyamwera orthobunyavirus (BUNV). Our results showed an expansion of Ago2 and Piwi6 in Cx. quinquefasciatus compared to Ae. aegypti. While silencing Ago2a and Ago2b increased BUNV replication, only Ago2b showed antiviral activity against SFV. Our results suggest differences in the function of Cx. quinquefasciatus and Ae. aegypti RNAi proteins and highlight the virus-specific function of these proteins in Cx. quinquefasciatus.
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Wei G, Li S, Ye S, Wang Z, Zarringhalam K, He J, Wang W, Shao Z. High-Resolution Small RNAs Landscape Provides Insights into Alkane Adaptation in the Marine Alkane-Degrader Alcanivorax dieselolei B-5. Int J Mol Sci 2022; 23:ijms232415995. [PMID: 36555635 PMCID: PMC9788540 DOI: 10.3390/ijms232415995] [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: 11/10/2022] [Revised: 12/07/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022] Open
Abstract
Alkanes are widespread in the ocean, and Alcanivorax is one of the most ubiquitous alkane-degrading bacteria in the marine ecosystem. Small RNAs (sRNAs) are usually at the heart of regulatory pathways, but sRNA-mediated alkane metabolic adaptability still remains largely unknown due to the difficulties of identification. Here, differential RNA sequencing (dRNA-seq) modified with a size selection (~50-nt to 500-nt) strategy was used to generate high-resolution sRNAs profiling in the model species Alcanivorax dieselolei B-5 under alkane (n-hexadecane) and non-alkane (acetate) conditions. As a result, we identified 549 sRNA candidates at single-nucleotide resolution of 5'-ends, 63.4% of which are with transcription start sites (TSSs), and 36.6% of which are with processing sites (PSSs) at the 5'-ends. These sRNAs originate from almost any location in the genome, regardless of intragenic (65.8%), antisense (20.6%) and intergenic (6.2%) regions, and RNase E may function in the maturation of sRNAs. Most sRNAs locally distribute across the 15 reference genomes of Alcanivorax, and only 7.5% of sRNAs are broadly conserved in this genus. Expression responses to the alkane of several core conserved sRNAs, including 6S RNA, M1 RNA and tmRNA, indicate that they may participate in alkane metabolisms and result in more actively global transcription, RNA processing and stresses mitigation. Two novel CsrA-related sRNAs are identified, which may be involved in the translational activation of alkane metabolism-related genes by sequestering the global repressor CsrA. The relationships of sRNAs with the characterized genes of alkane sensing (ompS), chemotaxis (mcp, cheR, cheW2), transporting (ompT1, ompT2, ompT3) and hydroxylation (alkB1, alkB2, almA) were created based on the genome-wide predicted sRNA-mRNA interactions. Overall, the sRNA landscape lays the ground for uncovering cryptic regulations in critical marine bacterium, among which both the core and species-specific sRNAs are implicated in the alkane adaptive metabolisms.
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Affiliation(s)
- Guangshan Wei
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai 519082, China
- Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
- State Key Laboratory Breeding Base of Marine Genetic Resources, Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen 361005, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China
| | - Sujie Li
- Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
- State Key Laboratory Breeding Base of Marine Genetic Resources, Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen 361005, China
| | - Sida Ye
- Department of Mathematics, University of Massachusetts Boston, Boston, MA 02125, USA
- Center for Personalized Cancer Therapy, University of Massachusetts Boston, Boston, MA 02125, USA
| | - Zining Wang
- Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
- State Key Laboratory Breeding Base of Marine Genetic Resources, Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen 361005, China
| | - Kourosh Zarringhalam
- Department of Mathematics, University of Massachusetts Boston, Boston, MA 02125, USA
- Center for Personalized Cancer Therapy, University of Massachusetts Boston, Boston, MA 02125, USA
| | - Jianguo He
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai 519082, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China
| | - Wanpeng Wang
- Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
- State Key Laboratory Breeding Base of Marine Genetic Resources, Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen 361005, China
- Correspondence: (W.W.); (Z.S.)
| | - Zongze Shao
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai 519082, China
- Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
- State Key Laboratory Breeding Base of Marine Genetic Resources, Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen 361005, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China
- Correspondence: (W.W.); (Z.S.)
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Rincón-Riveros A, Rodríguez JA, Villegas VE, López-Kleine L. Identification of Two Exosomal miRNAs in Circulating Blood of Cancer Patients by Using Integrative Transcriptome and Network Analysis. Noncoding RNA 2022; 8:33. [PMID: 35645340 PMCID: PMC9149928 DOI: 10.3390/ncrna8030033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/20/2022] [Accepted: 04/22/2022] [Indexed: 11/16/2022] Open
Abstract
Exosomes carry molecules of great biological and clinical interest, such as miRNAs. The contents of exosomes vary between healthy controls and cancer patients. Therefore, miRNAs and other molecules transported in exosomes are considered a potential source of diagnostic and prognostic biomarkers in cancer. Many miRNAs have been detected in recent years. Consequently, a substantial amount of miRNA-related data comparing patients and healthy individuals is available, which contributes to a better understanding of the initiation, development, malignancy, and metastasis of cancer using non-invasive sampling procedures. However, a re-analysis of available ncRNA data is rare. This study used available data about miRNAs in exosomes comparing healthy individuals and cancer patients to identify possible global changes related to the presence of cancer. A robust transcriptomic analysis identified two common miRNAs (miR-495-3p and miR-543) deregulated in five cancer datasets. They had already been implicated in different cancers but not reported in exosomes circulating in blood. The study also examined their target genes and the implications of these genes for functional processes.
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Affiliation(s)
- Andrés Rincón-Riveros
- Bioinformatics and Systems Biology Group, Universidad Nacional de Colombia, Bogotá 111221, Colombia
| | | | - Victoria E Villegas
- Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá 111221, Colombia
| | - Liliana López-Kleine
- Department of Statistics, Faculty of Science, Universidad Nacional de Colombia, Bogotá 111221, Colombia
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Tregear JW, Richaud F, Collin M, Esbelin J, Parrinello H, Cochard B, Nodichao L, Morcillo F, Adam H, Jouannic S. Micro-RNA-Regulated SQUAMOSA-PROMOTER BINDING PROTEIN-LIKE (SPL) Gene Expression and Cytokinin Accumulation Distinguish Early-Developing Male and Female Inflorescences in Oil Palm (Elaeis guineensis). PLANTS 2022; 11:plants11050685. [PMID: 35270155 PMCID: PMC8912876 DOI: 10.3390/plants11050685] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 02/25/2022] [Accepted: 02/28/2022] [Indexed: 11/16/2022]
Abstract
Sexual differentiation of inflorescences and flowers is important for reproduction and affects crop plant productivity. We report here on a molecular study of the process of sexual differentiation in the immature inflorescence of oil palm (Elaeis guineensis). This species is monoecious and exhibits gender diphasy, producing male and female inflorescences separately on the same plant in alternation. Three main approaches were used: small RNA-seq to characterise and study the expression of miRNA genes; RNA-seq to monitor mRNA accumulation patterns; hormone quantification to assess the role of cytokinins and auxins in inflorescence differentiation. Our study allowed the characterisation of 30 previously unreported palm MIRNA genes. In differential gene and miRNA expression studies, we identified a number of key developmental genes and miRNA-mRNA target modules previously described in relation to their developmental regulatory role in the cereal panicle, notably the miR156/529/535-SQUAMOSA PROMOTER-BINDING PROTEIN-LIKE (SPL) gene regulatory module. Gene enrichment analysis highlighted the importance of hormone-related genes, and this observation was corroborated by the detection of much higher levels of cytokinins in the female inflorescence. Our data illustrate the importance of branching regulation within the developmental window studied, during which the female inflorescence, unlike its male counterpart, produces flower clusters on new successive axes by sympodial growth.
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Affiliation(s)
- James W. Tregear
- DIADE, University of Montpellier, CIRAD, IRD, 34394 Montpellier, France; (M.C.); (J.E.); (F.M.); (H.A.); (S.J.)
- Correspondence:
| | - Frédérique Richaud
- CIRAD, UMR AGAP, 34398 Montpellier, France;
- AGAP, University of Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France
| | - Myriam Collin
- DIADE, University of Montpellier, CIRAD, IRD, 34394 Montpellier, France; (M.C.); (J.E.); (F.M.); (H.A.); (S.J.)
| | - Jennifer Esbelin
- DIADE, University of Montpellier, CIRAD, IRD, 34394 Montpellier, France; (M.C.); (J.E.); (F.M.); (H.A.); (S.J.)
| | - Hugues Parrinello
- MGX-Montpellier GenomiX, University of Montpellier, CNRS, INSERM, 34094 Montpellier, France;
| | | | | | - Fabienne Morcillo
- DIADE, University of Montpellier, CIRAD, IRD, 34394 Montpellier, France; (M.C.); (J.E.); (F.M.); (H.A.); (S.J.)
- CIRAD, UMR DIADE, 34394 Montpellier, France
| | - Hélène Adam
- DIADE, University of Montpellier, CIRAD, IRD, 34394 Montpellier, France; (M.C.); (J.E.); (F.M.); (H.A.); (S.J.)
| | - Stefan Jouannic
- DIADE, University of Montpellier, CIRAD, IRD, 34394 Montpellier, France; (M.C.); (J.E.); (F.M.); (H.A.); (S.J.)
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Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements. BIOLOGY 2021; 10:biology10090896. [PMID: 34571773 PMCID: PMC8465862 DOI: 10.3390/biology10090896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/06/2021] [Accepted: 09/07/2021] [Indexed: 11/22/2022]
Abstract
Simple Summary Transposable elements (TEs) are DNA sequences that are, or were, able to move (transpose) within the genome of a single cell. They were first discovered by Barbara McClintock while working on maize, and they make up a large fraction of the genome. Transpositions can result in mutations and they can alter the genome size. Cells regulate the activity of TEs using a variety of mechanisms, such as chemical modifications of DNA and small RNAs. Machine learning (ML) is an interdisciplinary subject that studies computer algorithms that can improve through experience and by the use of data. ML has been successfully applied to a variety of problems in bioinformatics and has exhibited favorable precision and speed. Here, we provide a systematic and guided review on the ML and bioinformatic methods and tools that are used for the analysis of the regulation of TEs. Abstract Transposable elements (TEs, or mobile genetic elements, MGEs) are ubiquitous genetic elements that make up a substantial proportion of the genome of many species. The recent growing interest in understanding the evolution and function of TEs has revealed that TEs play a dual role in genome evolution, development, disease, and drug resistance. Cells regulate TE expression against uncontrolled activity that can lead to developmental defects and disease, using multiple strategies, such as DNA chemical modification, small RNA (sRNA) silencing, chromatin modification, as well as sequence-specific repressors. Advancements in bioinformatics and machine learning approaches are increasingly contributing to the analysis of the regulation mechanisms. A plethora of tools and machine learning approaches have been developed for prediction, annotation, and expression profiling of sRNAs, for methylation analysis of TEs, as well as for genome-wide methylation analysis through bisulfite sequencing data. In this review, we provide a guided overview of the bioinformatic and machine learning state of the art of fields closely associated with TE regulation and function.
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Videm P, Kumar A, Zharkov O, Grüning BA, Backofen R. ChiRA: an integrated framework for chimeric read analysis from RNA-RNA interactome and RNA structurome data. Gigascience 2021; 10:6123621. [PMID: 33511995 PMCID: PMC7844879 DOI: 10.1093/gigascience/giaa158] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 11/26/2020] [Accepted: 12/15/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND With the advances in next-generation sequencing technologies, it is possible to determine RNA-RNA interaction and RNA structure predictions on a genome-wide level. The reads from these experiments usually are chimeric, with each arm generated from one of the interaction partners. Owing to short read lengths, often these sequenced arms ambiguously map to multiple locations. Thus, inferring the origin of these can be quite complicated. Here we present ChiRA, a generic framework for sensitive annotation of these chimeric reads, which in turn can be used to predict the sequenced hybrids. RESULTS Grouping reference loci on the basis of aligned common reads and quantification improved the handling of the multi-mapped reads in contrast to common strategies such as the selection of the longest hit or a random choice among all hits. On benchmark data ChiRA improved the number of correct alignments to the reference up to 3-fold. It is shown that the genes that belong to the common read loci share the same protein families or similar pathways. In published data, ChiRA could detect 3 times more new interactions compared to existing approaches. In addition, ChiRAViz can be used to visualize and filter large chimeric datasets intuitively. CONCLUSION ChiRA tool suite provides a complete analysis and visualization framework along with ready-to-use Galaxy workflows and tutorials for RNA-RNA interactome and structurome datasets. Common read loci built by ChiRA can rescue multi-mapped reads on paralogous genes without requiring any information on gene relations. We showed that ChiRA is sensitive in detecting new RNA-RNA interactions from published RNA-RNA interactome datasets.
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Affiliation(s)
- Pavankumar Videm
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany
| | - Anup Kumar
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany
| | - Oleg Zharkov
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany
| | - Björn Andreas Grüning
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany
| | - Rolf Backofen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany.,Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schaenzlestr. 18, 79104 Freiburg, Germany
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11
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Schäfer RA, Lott SC, Georg J, Grüning BA, Hess WR, Voß B. GLASSgo in Galaxy: high-throughput, reproducible and easy-to-integrate prediction of sRNA homologs. Bioinformatics 2020; 36:4357-4359. [PMID: 32492127 PMCID: PMC7520042 DOI: 10.1093/bioinformatics/btaa556] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 05/13/2020] [Accepted: 05/29/2020] [Indexed: 11/12/2022] Open
Abstract
MOTIVATION The correct prediction of bacterial sRNA homologs is a prerequisite for many downstream analyses based on comparative genomics, but it is frequently challenging due to the short length and distinct heterogeneity of such homologs. GLobal Automatic Small RNA Search go (GLASSgo) is an efficient tool for the prediction of sRNA homologs from a single input query. To make the algorithm available to a broader community, we offer a Docker container along with a free-access web service. For non-computer scientists, the web service provides a user-friendly interface. However, capabilities were lacking so far for batch processing, version control and direct interaction with compatible software applications as a workflow management system can provide. RESULTS Here, we present GLASSgo 1.5.2, an updated version that is fully incorporated into the workflow management system Galaxy. The improved version contains a new feature for extracting the upstream regions, allowing the search for conserved promoter elements. Additionally, it supports the use of accession numbers instead of the outdated GI numbers, which widens the applicability of the tool. AVAILABILITY AND IMPLEMENTATION GLASSgo is available at https://github.com/lotts/GLASSgo/ under the MIT license and is accompanied by instruction and application data. Furthermore, it can be installed into any Galaxy instance using the Galaxy ToolShed.
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Affiliation(s)
- Richard A Schäfer
- Computational Biology, Institute of Biochemical Engineering, University of Stuttgart, Stuttgart 70569, Germany
| | - Steffen C Lott
- Genetics and Experimental Bioinformatics, Institute of Biology III, University of Freiburg, Freiburg 79104, Germany
| | - Jens Georg
- Genetics and Experimental Bioinformatics, Institute of Biology III, University of Freiburg, Freiburg 79104, Germany
| | - Björn A Grüning
- Bioinformatics, Institute of Computer Science, University of Freiburg, Freiburg 79110, Germany
| | - Wolfgang R Hess
- Genetics and Experimental Bioinformatics, Institute of Biology III, University of Freiburg, Freiburg 79104, Germany
| | - Björn Voß
- Computational Biology, Institute of Biochemical Engineering, University of Stuttgart, Stuttgart 70569, Germany
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Yoshida N, Kaito C. Dataset for de novo transcriptome assembly of the African bullfrog Pyxicephalus adspersus. Data Brief 2020; 30:105388. [PMID: 32211462 PMCID: PMC7082503 DOI: 10.1016/j.dib.2020.105388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 02/28/2020] [Accepted: 02/28/2020] [Indexed: 11/18/2022] Open
Abstract
In this article, we report the first de novo transcriptome assembly of the African bullfrog Pyxicephalus adspersus. In this data, 75,320,390 raw reads were acquired from African bullfrog mRNA using Illumina paired-end sequencing platform. De novo assembly resulted in a total of 136,958 unigenes. In the obtained unigenes, 30,039 open reading frames (ORFs) were detected. This dataset provides basic information for molecular level analysis of this species, which undergoes a state of dormancy under dry conditions at ordinary temperatures called estivation.
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