1
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Chekulaeva M. Mechanistic insights into the basis of widespread RNA localization. Nat Cell Biol 2024; 26:1037-1046. [PMID: 38956277 DOI: 10.1038/s41556-024-01444-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 05/20/2024] [Indexed: 07/04/2024]
Abstract
The importance of subcellular mRNA localization is well established, but the underlying mechanisms mostly remain an enigma. Early studies suggested that specific mRNA sequences recruit RNA-binding proteins (RBPs) to regulate mRNA localization. However, despite the observation of thousands of localized mRNAs, only a handful of these sequences and RBPs have been identified. This suggests the existence of alternative, and possibly predominant, mechanisms for mRNA localization. Here I re-examine currently described mRNA localization mechanisms and explore alternative models that could account for its widespread occurrence.
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Affiliation(s)
- Marina Chekulaeva
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
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2
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Crawford RA, Eastham M, Pool MR, Ashe MP. Orchestrated centers for the production of proteins or "translation factories". WILEY INTERDISCIPLINARY REVIEWS. RNA 2024; 15:e1867. [PMID: 39048533 DOI: 10.1002/wrna.1867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 05/20/2024] [Accepted: 06/07/2024] [Indexed: 07/27/2024]
Abstract
The mechanics of how proteins are generated from mRNA is increasingly well understood. However, much less is known about how protein production is coordinated and orchestrated within the crowded intracellular environment, especially in eukaryotic cells. Recent studies suggest that localized sites exist for the coordinated production of specific proteins. These sites have been termed "translation factories" and roles in protein complex formation, protein localization, inheritance, and translation regulation have been postulated. In this article, we review the evidence supporting the translation of mRNA at these sites, the details of their mechanism of formation, and their likely functional significance. Finally, we consider the key uncertainties regarding these elusive structures in cells. This article is categorized under: Translation Translation > Mechanisms RNA Export and Localization > RNA Localization Translation > Regulation.
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Affiliation(s)
- Robert A Crawford
- Division of Molecular and Cellular Function, Faculty of Biology Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Matthew Eastham
- Division of Molecular and Cellular Function, Faculty of Biology Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Martin R Pool
- Division of Molecular and Cellular Function, Faculty of Biology Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Mark P Ashe
- Division of Molecular and Cellular Function, Faculty of Biology Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
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3
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Samuels TJ, Gui J, Gebert D, Karam Teixeira F. Two distinct waves of transcriptome and translatome changes drive Drosophila germline stem cell differentiation. EMBO J 2024; 43:1591-1617. [PMID: 38480936 PMCID: PMC11021484 DOI: 10.1038/s44318-024-00070-z] [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: 11/22/2023] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 03/18/2024] Open
Abstract
The tight control of fate transitions during stem cell differentiation is essential for proper tissue development and maintenance. However, the challenges in studying sparsely distributed adult stem cells in a systematic manner have hindered efforts to identify how the multilayered regulation of gene expression programs orchestrates stem cell differentiation in vivo. Here, we synchronised Drosophila female germline stem cell (GSC) differentiation in vivo to perform in-depth transcriptome and translatome analyses at high temporal resolution. This characterisation revealed widespread and dynamic changes in mRNA level, promoter usage, exon inclusion, and translation efficiency. Transient expression of the master regulator, Bam, drives a first wave of expression changes, primarily modifying the cell cycle program. Surprisingly, as Bam levels recede, differentiating cells return to a remarkably stem cell-like transcription and translation program, with a few crucial changes feeding into a second phase driving terminal differentiation to form the oocyte. Altogether, these findings reveal that rather than a unidirectional accumulation of changes, the in vivo differentiation of stem cells relies on distinctly regulated and developmentally sequential waves.
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Affiliation(s)
- Tamsin J Samuels
- Department of Genetics, University of Cambridge, Downing Street, CB2 3EH, Cambridge, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, CB2 3DY, Cambridge, UK
| | - Jinghua Gui
- Department of Genetics, University of Cambridge, Downing Street, CB2 3EH, Cambridge, UK
| | - Daniel Gebert
- Department of Genetics, University of Cambridge, Downing Street, CB2 3EH, Cambridge, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, CB2 3DY, Cambridge, UK
| | - Felipe Karam Teixeira
- Department of Genetics, University of Cambridge, Downing Street, CB2 3EH, Cambridge, UK.
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, CB2 3DY, Cambridge, UK.
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4
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Schmied C, Nelson MS, Avilov S, Bakker GJ, Bertocchi C, Bischof J, Boehm U, Brocher J, Carvalho MT, Chiritescu C, Christopher J, Cimini BA, Conde-Sousa E, Ebner M, Ecker R, Eliceiri K, Fernandez-Rodriguez J, Gaudreault N, Gelman L, Grunwald D, Gu T, Halidi N, Hammer M, Hartley M, Held M, Jug F, Kapoor V, Koksoy AA, Lacoste J, Le Dévédec S, Le Guyader S, Liu P, Martins GG, Mathur A, Miura K, Montero Llopis P, Nitschke R, North A, Parslow AC, Payne-Dwyer A, Plantard L, Ali R, Schroth-Diez B, Schütz L, Scott RT, Seitz A, Selchow O, Sharma VP, Spitaler M, Srinivasan S, Strambio-De-Castillia C, Taatjes D, Tischer C, Jambor HK. Community-developed checklists for publishing images and image analyses. Nat Methods 2024; 21:170-181. [PMID: 37710020 PMCID: PMC10922596 DOI: 10.1038/s41592-023-01987-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 07/26/2023] [Indexed: 09/16/2023]
Abstract
Images document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. However, for scientists wishing to publish obtained images and image-analysis results, there are currently no unified guidelines for best practices. Consequently, microscopy images and image data in publications may be unclear or difficult to interpret. Here, we present community-developed checklists for preparing light microscopy images and describing image analyses for publications. These checklists offer authors, readers and publishers key recommendations for image formatting and annotation, color selection, data availability and reporting image-analysis workflows. The goal of our guidelines is to increase the clarity and reproducibility of image figures and thereby to heighten the quality and explanatory power of microscopy data.
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Affiliation(s)
- Christopher Schmied
- Fondazione Human Technopole, Milano, Italy.
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.
| | - Michael S Nelson
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Sergiy Avilov
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Gert-Jan Bakker
- Medical BioSciences Department, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Cristina Bertocchi
- Laboratory for Molecular Mechanics of Cell Adhesions, Pontificia Universidad Católica de Chile Santiago, Santiago de Chile, Chile
- Graduate School of Engineering Science, Osaka University, Osaka, Japan
| | | | | | - Jan Brocher
- Scientific Image Processing and Analysis, BioVoxxel, Ludwigshafen, Germany
| | - Mariana T Carvalho
- Nanophotonics and BioImaging Facility at INL, International Iberian Nanotechnology Laboratory, Braga, Portugal
| | | | - Jana Christopher
- Biochemistry Center Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Beth A Cimini
- Imaging Platform, Broad Institute, Cambridge, MA, USA
| | - Eduardo Conde-Sousa
- i3S, Instituto de Investigação e Inovação Em Saúde and INEB, Instituto de Engenharia Biomédica, Universidade do Porto, Porto, Portugal
| | - Michael Ebner
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany
| | - Rupert Ecker
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Queensland, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
- TissueGnostics GmbH, Vienna, Austria
| | - Kevin Eliceiri
- Department of Medical Physics and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Julia Fernandez-Rodriguez
- Centre for Cellular Imaging Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Laurent Gelman
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - David Grunwald
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | | | - Nadia Halidi
- Advanced Light Microscopy Unit, Centre for Genomic Regulation, Barcelona, Spain
| | - Mathias Hammer
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Matthew Hartley
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Hinxton, UK
| | - Marie Held
- Centre for Cell Imaging, the University of Liverpool, Liverpool, UK
| | | | - Varun Kapoor
- Department of AI Research, Kapoor Labs, Paris, France
| | | | | | - Sylvia Le Dévédec
- Division of Drug Discovery and Safety, Cell Observatory, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | | | - Penghuan Liu
- Key Laboratory for Modern Measurement Technology and Instruments of Zhejiang Province, College of Optical and Electronic Technology, China Jiliang University, Hangzhou, China
| | - Gabriel G Martins
- Advanced Imaging Facility, Instituto Gulbenkian de Ciência, Oeiras, Portugal
| | | | - Kota Miura
- Bioimage Analysis and Research, Heidelberg, Germany
| | | | - Roland Nitschke
- Life Imaging Center, Signalling Research Centres CIBSS and BIOSS, University of Freiburg, Freiburg, Germany
| | - Alison North
- Bio-Imaging Resource Center, the Rockefeller University, New York, NY, USA
| | - Adam C Parslow
- Baker Institute Microscopy Platform, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Alex Payne-Dwyer
- School of Physics, Engineering and Technology, University of York, Heslington, UK
| | - Laure Plantard
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Rizwan Ali
- King Abdullah International Medical Research Center (KAIMRC), Medical Research Core Facility and Platforms (MRCFP), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Britta Schroth-Diez
- Light Microscopy Facility, Max Planck Institute of Molecular Cell Biology and Genetics Dresden, Dresden, Germany
| | | | - Ryan T Scott
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | - Arne Seitz
- BioImaging and Optics Platform, Faculty of Life Sciences (SV), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Olaf Selchow
- Microscopy and BioImaging Consulting, Image Processing and Large Data Handling, Gera, Germany
| | - Ved P Sharma
- Bio-Imaging Resource Center, the Rockefeller University, New York, NY, USA
| | | | - Sathya Srinivasan
- Imaging and Morphology Support Core, Oregon National Primate Research Center, OHSU West Campus, Beaverton, OR, USA
| | | | - Douglas Taatjes
- Department of Pathology and Laboratory Medicine, Microscopy Imaging Center, Center for Biomedical Shared Resources, University of Vermont, Burlington, VT, USA
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5
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Berg C, Sieber M, Sun J. Finishing the egg. Genetics 2024; 226:iyad183. [PMID: 38000906 PMCID: PMC10763546 DOI: 10.1093/genetics/iyad183] [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: 07/05/2023] [Accepted: 09/27/2023] [Indexed: 11/26/2023] Open
Abstract
Gamete development is a fundamental process that is highly conserved from early eukaryotes to mammals. As germ cells develop, they must coordinate a dynamic series of cellular processes that support growth, cell specification, patterning, the loading of maternal factors (RNAs, proteins, and nutrients), differentiation of structures to enable fertilization and ensure embryonic survival, and other processes that make a functional oocyte. To achieve these goals, germ cells integrate a complex milieu of environmental and developmental signals to produce fertilizable eggs. Over the past 50 years, Drosophila oogenesis has risen to the forefront as a system to interrogate the sophisticated mechanisms that drive oocyte development. Studies in Drosophila have defined mechanisms in germ cells that control meiosis, protect genome integrity, facilitate mRNA trafficking, and support the maternal loading of nutrients. Work in this system has provided key insights into the mechanisms that establish egg chamber polarity and patterning as well as the mechanisms that drive ovulation and egg activation. Using the power of Drosophila genetics, the field has begun to define the molecular mechanisms that coordinate environmental stresses and nutrient availability with oocyte development. Importantly, the majority of these reproductive mechanisms are highly conserved throughout evolution, and many play critical roles in the development of somatic tissues as well. In this chapter, we summarize the recent progress in several key areas that impact egg chamber development and ovulation. First, we discuss the mechanisms that drive nutrient storage and trafficking during oocyte maturation and vitellogenesis. Second, we examine the processes that regulate follicle cell patterning and how that patterning impacts the construction of the egg shell and the establishment of embryonic polarity. Finally, we examine regulatory factors that control ovulation, egg activation, and successful fertilization.
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Affiliation(s)
- Celeste Berg
- Department of Genome Sciences, University of Washington, Seattle, WA 98195-5065USA
| | - Matthew Sieber
- Department of Physiology, UT Southwestern Medical Center, Dallas, TX 75390USA
| | - Jianjun Sun
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, CT 06269USA
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6
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Pimenta-Marques A, Perestrelo T, Reis-Rodrigues P, Duarte P, Ferreira-Silva A, Lince-Faria M, Bettencourt-Dias M. Ana1/CEP295 is an essential player in the centrosome maintenance program regulated by Polo kinase and the PCM. EMBO Rep 2024; 25:102-127. [PMID: 38200359 PMCID: PMC10897187 DOI: 10.1038/s44319-023-00020-6] [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: 06/28/2022] [Revised: 11/14/2023] [Accepted: 11/22/2023] [Indexed: 01/12/2024] Open
Abstract
Centrioles are part of centrosomes and cilia, which are microtubule organising centres (MTOC) with diverse functions. Despite their stability, centrioles can disappear during differentiation, such as in oocytes, but little is known about the regulation of their structural integrity. Our previous research revealed that the pericentriolar material (PCM) that surrounds centrioles and its recruiter, Polo kinase, are downregulated in oogenesis and sufficient for maintaining both centrosome structural integrity and MTOC activity. We now show that the expression of specific components of the centriole cartwheel and wall, including ANA1/CEP295, is essential for maintaining centrosome integrity. We find that Polo kinase requires ANA1 to promote centriole stability in cultured cells and eggs. In addition, ANA1 expression prevents the loss of centrioles observed upon PCM-downregulation. However, the centrioles maintained by overexpressing and tethering ANA1 are inactive, unlike the MTOCs observed upon tethering Polo kinase. These findings demonstrate that several centriole components are needed to maintain centrosome structure. Our study also highlights that centrioles are more dynamic than previously believed, with their structural stability relying on the continuous expression of multiple components.
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Affiliation(s)
- Ana Pimenta-Marques
- Instituto Gulbenkian de Ciência, Rua da Quinta Grande, 6, 2780-156, Oeiras, Portugal.
- iNOVA4Health | NOVA Medical School | Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal.
| | - Tania Perestrelo
- Instituto Gulbenkian de Ciência, Rua da Quinta Grande, 6, 2780-156, Oeiras, Portugal
| | - Patricia Reis-Rodrigues
- Instituto Gulbenkian de Ciência, Rua da Quinta Grande, 6, 2780-156, Oeiras, Portugal
- Institute of Science and Technology Austria, 3400, Klosterneuburg, Austria
| | - Paulo Duarte
- Instituto Gulbenkian de Ciência, Rua da Quinta Grande, 6, 2780-156, Oeiras, Portugal
| | - Ana Ferreira-Silva
- iNOVA4Health | NOVA Medical School | Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Mariana Lince-Faria
- Instituto Gulbenkian de Ciência, Rua da Quinta Grande, 6, 2780-156, Oeiras, Portugal
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7
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Mohr SE, Kim AR, Hu Y, Perrimon N. Finding information about uncharacterized Drosophila melanogaster genes. Genetics 2023; 225:iyad187. [PMID: 37933691 PMCID: PMC10697813 DOI: 10.1093/genetics/iyad187] [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: 07/31/2023] [Accepted: 10/02/2023] [Indexed: 11/08/2023] Open
Abstract
Genes that have been identified in the genome but remain uncharacterized with regards to function offer an opportunity to uncover novel biological information. Novelty is exciting but can also be a barrier. If nothing is known, how does one start planning and executing experiments? Here, we provide a recommended information-mining workflow and a corresponding guide to accessing information about uncharacterized Drosophila melanogaster genes, such as those assigned only a systematic coding gene identifier. The available information can provide insights into where and when the gene is expressed, what the function of the gene might be, whether there are similar genes in other species, whether there are known relationships to other genes, and whether any other features have already been determined. In addition, available information about relevant reagents can inspire and facilitate experimental studies. Altogether, mining available information can help prioritize genes for further study, as well as provide starting points for experimental assays and other analyses.
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Affiliation(s)
- Stephanie E Mohr
- Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
| | - Ah-Ram Kim
- Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
| | - Yanhui Hu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
| | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
- Howard Hughes Medical Institute, Boston, MA 02115, USA
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8
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Burghardt E, Rakijas J, Tyagi A, Majumder P, Olson BJSC, McDonald JA. Transcriptome analysis reveals temporally regulated genetic networks during Drosophila border cell collective migration. BMC Genomics 2023; 24:728. [PMID: 38041052 PMCID: PMC10693066 DOI: 10.1186/s12864-023-09839-8] [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: 09/28/2023] [Accepted: 11/24/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND Collective cell migration underlies many essential processes, including sculpting organs during embryogenesis, wound healing in the adult, and metastasis of cancer cells. At mid-oogenesis, Drosophila border cells undergo collective migration. Border cells round up into a small group at the pre-migration stage, detach from the epithelium and undergo a dynamic and highly regulated migration at the mid-migration stage, and stop at the oocyte, their final destination, at the post-migration stage. While specific genes that promote cell signaling, polarization of the cluster, formation of protrusions, and cell-cell adhesion are known to regulate border cell migration, there may be additional genes that promote these distinct active phases of border cell migration. Therefore, we sought to identify genes whose expression patterns changed during border cell migration. RESULTS We performed RNA-sequencing on border cells isolated at pre-, mid-, and post-migration stages. We report that 1,729 transcripts, in nine co-expression gene clusters, are temporally and differentially expressed across the three migration stages. Gene ontology analyses and constructed protein-protein interaction networks identified genes expected to function in collective migration, such as regulators of the cytoskeleton, adhesion, and tissue morphogenesis, but also uncovered a notable enrichment of genes involved in immune signaling, ribosome biogenesis, and stress responses. Finally, we validated the in vivo expression and function of a subset of identified genes in border cells. CONCLUSIONS Overall, our results identified differentially and temporally expressed genetic networks that may facilitate the efficient development and migration of border cells. The genes identified here represent a wealth of new candidates to investigate the molecular nature of dynamic collective cell migrations in developing tissues.
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Affiliation(s)
- Emily Burghardt
- Division of Biology, Kansas State University, 116 Ackert Hall, 1717 Claflin Rd, Manhattan, KS, 66506, USA
| | - Jessica Rakijas
- Division of Biology, Kansas State University, 116 Ackert Hall, 1717 Claflin Rd, Manhattan, KS, 66506, USA
| | - Antariksh Tyagi
- Division of Biology, Kansas State University, 116 Ackert Hall, 1717 Claflin Rd, Manhattan, KS, 66506, USA
| | - Pralay Majumder
- Department of Life Sciences, Presidency University, Kolkata, 700073, West Bengal, India
| | - Bradley J S C Olson
- Division of Biology, Kansas State University, 116 Ackert Hall, 1717 Claflin Rd, Manhattan, KS, 66506, USA.
| | - Jocelyn A McDonald
- Division of Biology, Kansas State University, 116 Ackert Hall, 1717 Claflin Rd, Manhattan, KS, 66506, USA.
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9
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Giedt MS, Thomalla JM, White RP, Johnson MR, Lai ZW, Tootle TL, Welte MA. Adipose triglyceride lipase promotes prostaglandin-dependent actin remodeling by regulating substrate release from lipid droplets. Development 2023; 150:dev201516. [PMID: 37306387 PMCID: PMC10281261 DOI: 10.1242/dev.201516] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 05/03/2023] [Indexed: 05/13/2023]
Abstract
Lipid droplets (LDs), crucial regulators of lipid metabolism, accumulate during oocyte development. However, their roles in fertility remain largely unknown. During Drosophila oogenesis, LD accumulation coincides with the actin remodeling necessary for follicle development. Loss of the LD-associated Adipose Triglyceride Lipase (ATGL) disrupts both actin bundle formation and cortical actin integrity, an unusual phenotype also seen when the prostaglandin (PG) synthase Pxt is missing. Dominant genetic interactions and PG treatment of follicles indicate that ATGL acts upstream of Pxt to regulate actin remodeling. Our data suggest that ATGL releases arachidonic acid (AA) from LDs to serve as the substrate for PG synthesis. Lipidomic analysis detects AA-containing triglycerides in ovaries, and these are increased when ATGL is lost. High levels of exogenous AA block follicle development; this is enhanced by impairing LD formation and suppressed by reducing ATGL. Together, these data support the model that AA stored in LD triglycerides is released by ATGL to drive the production of PGs, which promote the actin remodeling necessary for follicle development. We speculate that this pathway is conserved across organisms to regulate oocyte development and promote fertility.
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Affiliation(s)
- Michelle S. Giedt
- Anatomy and Cell Biology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | | | - Roger P. White
- Department of Biology, University of Rochester, Rochester, NY 14627, USA
| | - Matthew R. Johnson
- Department of Biology, University of Rochester, Rochester, NY 14627, USA
| | - Zon Weng Lai
- Harvard T.H. Chan Advanced Multi-omics Platform, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Tina L. Tootle
- Anatomy and Cell Biology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Michael A. Welte
- Department of Biology, University of Rochester, Rochester, NY 14627, USA
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10
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Schmied C, Nelson MS, Avilov S, Bakker GJ, Bertocchi C, Bischof J, Boehm U, Brocher J, Carvalho M, Chiritescu C, Christopher J, Cimini BA, Conde-Sousa E, Ebner M, Ecker R, Eliceiri K, Fernandez-Rodriguez J, Gaudreault N, Gelman L, Grunwald D, Gu T, Halidi N, Hammer M, Hartley M, Held M, Jug F, Kapoor V, Koksoy AA, Lacoste J, Dévédec SL, Guyader SL, Liu P, Martins GG, Mathur A, Miura K, Montero Llopis P, Nitschke R, North A, Parslow AC, Payne-Dwyer A, Plantard L, Ali R, Schroth-Diez B, Schütz L, Scott RT, Seitz A, Selchow O, Sharma VP, Spitaler M, Srinivasan S, Strambio-De-Castillia C, Taatjes D, Tischer C, Jambor HK. Community-developed checklists for publishing images and image analyses. ARXIV 2023:arXiv:2302.07005v2. [PMID: 36824427 PMCID: PMC9949169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Images document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. However for scientists wishing to publish the obtained images and image analyses results, there are to date no unified guidelines. Consequently, microscopy images and image data in publications may be unclear or difficult to interpret. Here we present community-developed checklists for preparing light microscopy images and image analysis for publications. These checklists offer authors, readers, and publishers key recommendations for image formatting and annotation, color selection, data availability, and for reporting image analysis workflows. The goal of our guidelines is to increase the clarity and reproducibility of image figures and thereby heighten the quality and explanatory power of microscopy data is in publications.
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Affiliation(s)
- Christopher Schmied
- Fondazione Human Technopole, Viale Rita Levi-Montalcini 1, 20157 Milano, Italy
- Present address: Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Robert-Rössle-Str. 10, 13125 Berlin, Germany
| | - Michael S Nelson
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Sergiy Avilov
- Max Planck Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany
| | - Gert-Jan Bakker
- Medical BioSciences department, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Cristina Bertocchi
- Laboratory for Molecular mechanics of cell adhesions, Pontificia Universidad Católica de Chile Santiago
- Osaka University, Graduate School of Engineering Science, Japan
| | - Johanna Bischof
- Euro-BioImaging ERIC, Bio-Hub, Meyerhofstr. 1, 69117 Heidelberg, Germany
| | - Ulrike Boehm
- Carl Zeiss AG, Carl-Zeiss-Straße 22, 73447 Oberkochen, Germany
| | - Jan Brocher
- BioVoxxel, Scientific Image Processing and Analysis, Eugen-Roth-Strasse 8, 67071 Ludwigshafen, Germany
| | - Mariana Carvalho
- Nanophotonics and BioImaging Facility at INL, International Iberian Nanotechnology Laboratory, 4715-330, Portugal
| | | | | | - Beth A Cimini
- Imaging Platform, Broad Institute, Cambridge, MA 02142
| | - Eduardo Conde-Sousa
- i3S, Instituto de Investigação e Inovação Em Saúde and INEB, Instituto de Engenharia Biomédica, Universidade do Porto, Porto, Portugal
| | - Michael Ebner
- Fondazione Human Technopole, Viale Rita Levi-Montalcini 1, 20157 Milano, Italy
| | - Rupert Ecker
- Translational Research Institute, Queensland University of Technology, 37 Kent Street, Woolloongabba, QLD 4102, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD 4059, Australia
- TissueGnostics GmbH, 1020 Vienna, Austria
| | - Kevin Eliceiri
- Department of Medical Physics and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | | | | | - Laurent Gelman
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - David Grunwald
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | | | - Nadia Halidi
- Advanced Light Microscopy Unit, Centre for Genomic Regulation, Barcelona, Spain
| | - Mathias Hammer
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Matthew Hartley
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
| | - Marie Held
- Centre for Cell Imaging, The University of Liverpool, UK
| | - Florian Jug
- Fondazione Human Technopole, Viale Rita Levi-Montalcini 1, 20157 Milano, Italy
| | - Varun Kapoor
- Department of AI research, Kapoor Labs, Paris, 75005, France
| | | | | | - Sylvia Le Dévédec
- Division of Drug Discovery and Safety, Cell Observatory, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands
| | | | - Penghuan Liu
- Key Laboratory for Modern Measurement Technology and Instruments of Zhejiang Province, College of Optical and Electronic Technology, China Jiliang University, Hangzhou, China
| | - Gabriel G Martins
- Advanced Imaging Facility, Instituto Gulbenkian de Ciência, Oeiras 2780-156 - Portugal
| | - Aastha Mathur
- Euro-BioImaging ERIC, Bio-Hub, Meyerhofstr. 1, 69117 Heidelberg, Germany
| | - Kota Miura
- Bioimage Analysis & Research, 69127 Heidelberg/Germany
| | | | - Roland Nitschke
- Life Imaging Center, Signalling Research Centres CIBSS and BIOSS, University of Freiburg, Germany
| | - Alison North
- Bio-Imaging Resource Center, The Rockefeller University, New York, NY USA
| | - Adam C Parslow
- Baker Institute Microscopy Platform, Baker Heart and Diabetes Institute, Melbourne, VIC, 3004, Australia
| | - Alex Payne-Dwyer
- School of Physics, Engineering and Technology, University of York, Heslington, YO10 5DD, UK
| | - Laure Plantard
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Rizwan Ali
- King Abdullah International Medical Research Center (KAIMRC), Medical Research Core Facility and Platforms (MRCFP), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs (MNGHA), Riyadh 11481, Saudi Arabia
| | - Britta Schroth-Diez
- Light Microscopy Facility, Max Planck Institute of Molecular Cell Biology and Genetics Dresden, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Lucas Schütz
- ariadne.ai (Germany) GmbH, 69115 Heidelberg, Germany
| | - Ryan T Scott
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, 94035, USA
| | - Arne Seitz
- BioImaging & Optics Platform (BIOP), Ecole Polytechnique Fédérale de Lausanne (EPFL), Faculty of Life sciences (SV), CH-1015 Lausanne
| | - Olaf Selchow
- Microscopy & BioImaging Consulting, Image Processing & Large Data Handling, Tobias-Hoppe-Strassse 3, 07548 Gera, Germany
| | - Ved P Sharma
- Bio-Imaging Resource Center, The Rockefeller University, New York, NY USA
| | - Martin Spitaler
- Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany
| | - Sathya Srinivasan
- Imaging and Morphology Support Core, Oregon National Primate Research Center - (ONPRC - OHSU West Campus), Beaverton, Oregon 97006, USA
| | | | - Douglas Taatjes
- Department of Pathology and Laboratory Medicine, Microscopy Imaging Center (RRID# SCR_018821), Center for Biomedical Shared Resources, University of Vermont, Burlington, VT 05405 USA
| | - Christian Tischer
- Centre for Bioimage Analysis, EMBL Heidelberg, Meyerhofstr. 1, 69117 Heidelberg, Germany
| | - Helena Klara Jambor
- NCT-UCC, Medizinische Fakultät TU Dresden, Fetscherstrasse 105, 01307 Dresden/Germany
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11
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Loedige I, Baranovskii A, Mendonsa S, Dantsuji S, Popitsch N, Breimann L, Zerna N, Cherepanov V, Milek M, Ameres S, Chekulaeva M. mRNA stability and m 6A are major determinants of subcellular mRNA localization in neurons. Mol Cell 2023; 83:2709-2725.e10. [PMID: 37451262 PMCID: PMC10529935 DOI: 10.1016/j.molcel.2023.06.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/04/2023] [Accepted: 06/19/2023] [Indexed: 07/18/2023]
Abstract
For cells to perform their biological functions, they need to adopt specific shapes and form functionally distinct subcellular compartments. This is achieved in part via an asymmetric distribution of mRNAs within cells. Currently, the main model of mRNA localization involves specific sequences called "zipcodes" that direct mRNAs to their proper locations. However, while thousands of mRNAs localize within cells, only a few zipcodes have been identified, suggesting that additional mechanisms contribute to localization. Here, we assess the role of mRNA stability in localization by combining the isolation of the soma and neurites of mouse primary cortical and mESC-derived neurons, SLAM-seq, m6A-RIP-seq, the perturbation of mRNA destabilization mechanisms, and the analysis of multiple mRNA localization datasets. We show that depletion of mRNA destabilization elements, such as m6A, AU-rich elements, and suboptimal codons, functions as a mechanism that mediates the localization of mRNAs associated with housekeeping functions to neurites in several types of neurons.
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Affiliation(s)
- Inga Loedige
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin 10115, Germany
| | - Artem Baranovskii
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin 10115, Germany
| | - Samantha Mendonsa
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin 10115, Germany
| | - Sayaka Dantsuji
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin 10115, Germany
| | - Niko Popitsch
- Max Perutz Labs, University of Vienna, Vienna BioCenter, 1030 Vienna, Austria
| | - Laura Breimann
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin 10115, Germany; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Nadja Zerna
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin 10115, Germany
| | - Vsevolod Cherepanov
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin 10115, Germany
| | - Miha Milek
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin 10115, Germany
| | - Stefan Ameres
- Max Perutz Labs, University of Vienna, Vienna BioCenter, 1030 Vienna, Austria
| | - Marina Chekulaeva
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin 10115, Germany.
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12
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Goering R, Arora A, Pockalny MC, Taliaferro JM. RNA localization mechanisms transcend cell morphology. eLife 2023; 12:e80040. [PMID: 36867563 PMCID: PMC9984196 DOI: 10.7554/elife.80040] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 01/24/2023] [Indexed: 03/04/2023] Open
Abstract
RNA molecules are localized to specific subcellular regions through interactions between RNA regulatory elements and RNA binding proteins (RBPs). Generally, our knowledge of the mechanistic details behind the localization of a given RNA is restricted to a particular cell type. Here, we show that RNA/RBP interactions that regulate RNA localization in one cell type predictably regulate localization in other cell types with vastly different morphologies. To determine transcriptome-wide RNA spatial distributions across the apicobasal axis of human intestinal epithelial cells, we used our recently developed RNA proximity labeling technique, Halo-seq. We found that mRNAs encoding ribosomal proteins (RP mRNAs) were strongly localized to the basal pole of these cells. Using reporter transcripts and single-molecule RNA FISH, we found that pyrimidine-rich motifs in the 5' UTRs of RP mRNAs were sufficient to drive basal RNA localization. Interestingly, the same motifs were also sufficient to drive RNA localization to the neurites of mouse neuronal cells. In both cell types, the regulatory activity of this motif was dependent on it being in the 5' UTR of the transcript, was abolished upon perturbation of the RNA-binding protein LARP1, and was reduced upon inhibition of kinesin-1. To extend these findings, we compared subcellular RNAseq data from neuronal and epithelial cells. We found that the basal compartment of epithelial cells and the projections of neuronal cells were enriched for highly similar sets of RNAs, indicating that broadly similar mechanisms may be transporting RNAs to these morphologically distinct locations. These findings identify the first RNA element known to regulate RNA localization across the apicobasal axis of epithelial cells, establish LARP1 as an RNA localization regulator, and demonstrate that RNA localization mechanisms cut across cell morphologies.
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Affiliation(s)
- Raeann Goering
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical CampusAuroraUnited States
- RNA Bioscience Initiative, University of Colorado Anschutz Medical CampusAuroraUnited States
| | - Ankita Arora
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical CampusAuroraUnited States
| | - Megan C Pockalny
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical CampusAuroraUnited States
| | - J Matthew Taliaferro
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical CampusAuroraUnited States
- RNA Bioscience Initiative, University of Colorado Anschutz Medical CampusAuroraUnited States
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13
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Massively parallel identification of mRNA localization elements in primary cortical neurons. Nat Neurosci 2023; 26:394-405. [PMID: 36646877 PMCID: PMC9991926 DOI: 10.1038/s41593-022-01243-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 12/01/2022] [Indexed: 01/18/2023]
Abstract
Cells adopt highly polarized shapes and form distinct subcellular compartments in many cases due to the localization of many mRNAs to specific areas, where they are translated into proteins with local functions. This mRNA localization is mediated by specific cis-regulatory elements in mRNAs, commonly called 'zipcodes'. Although there are hundreds of localized mRNAs, only a few zipcodes have been characterized. Here we describe a novel neuronal zipcode identification protocol (N-zip) that can identify zipcodes across hundreds of 3' untranslated regions. This approach combines a method of separating the principal subcellular compartments of neurons-cell bodies and neurites-with a massively parallel reporter assay. N-zip identifies the let-7 binding site and (AU)n motif as de novo zipcodes in mouse primary cortical neurons. Our analysis also provides, to our knowledge, the first demonstration of an miRNA affecting mRNA localization and suggests a strategy for detecting many more zipcodes.
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14
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Merkle JA. Dissection, Fixation, and Standard Staining of Adult Drosophila Ovaries. Methods Mol Biol 2023; 2626:49-68. [PMID: 36715899 DOI: 10.1007/978-1-0716-2970-3_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Studies of the Drosophila ovary have provided significant insight into the molecular and cellular processes that control cell function, tissue organization, and animal development. To characterize mutants with defects in oogenesis or to observe the distribution of gene products involved in egg production, the ovaries must be carefully extracted and prepared for analysis. This chapter describes the manual dissection of ovaries from adult Drosophila females, followed by standard fixation and staining of the isolated tissue. Specifically, this chapter provides procedures for simple DNA and F-actin staining to assess cell and tissue morphology, as well as immunostaining to localize proteins of interest.
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Affiliation(s)
- Julie A Merkle
- Department of Biology, University of Evansville, Evansville, IN, USA.
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15
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Blatnik MC, Gallagher TL, Amacher SL. Keeping development on time: Insights into post-transcriptional mechanisms driving oscillatory gene expression during vertebrate segmentation. WILEY INTERDISCIPLINARY REVIEWS. RNA 2023; 14:e1751. [PMID: 35851751 PMCID: PMC9840655 DOI: 10.1002/wrna.1751] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/13/2022] [Accepted: 06/20/2022] [Indexed: 01/31/2023]
Abstract
Biological time keeping, or the duration and tempo at which biological processes occur, is a phenomenon that drives dynamic molecular and morphological changes that manifest throughout many facets of life. In some cases, the molecular mechanisms regulating the timing of biological transitions are driven by genetic oscillations, or periodic increases and decreases in expression of genes described collectively as a "molecular clock." In vertebrate animals, molecular clocks play a crucial role in fundamental patterning and cell differentiation processes throughout development. For example, during early vertebrate embryogenesis, the segmentation clock regulates the patterning of the embryonic mesoderm into segmented blocks of tissue called somites, which later give rise to axial skeletal muscle and vertebrae. Segmentation clock oscillations are characterized by rapid cycles of mRNA and protein expression. For segmentation clock oscillations to persist, the transcript and protein molecules of clock genes must be short-lived. Faithful, rhythmic, genetic oscillations are sustained by precise regulation at many levels, including post-transcriptional regulation, and such mechanisms are essential for proper vertebrate development. This article is categorized under: RNA Export and Localization > RNA Localization RNA Turnover and Surveillance > Regulation of RNA Stability Translation > Regulation.
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Affiliation(s)
- Monica C. Blatnik
- The Ohio State University, Department of Molecular Genetics, Columbus, Ohio, 43210-1132, United States
| | - Thomas L. Gallagher
- The Ohio State University, Department of Molecular Genetics, Columbus, Ohio, 43210-1132, United States
| | - Sharon L. Amacher
- The Ohio State University, Department of Molecular Genetics, Columbus, Ohio, 43210-1132, United States
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16
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Subcellular spatial transcriptomics identifies three mechanistically different classes of localizing RNAs. Nat Commun 2022; 13:6355. [PMID: 36289223 PMCID: PMC9606379 DOI: 10.1038/s41467-022-34004-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 10/03/2022] [Indexed: 12/25/2022] Open
Abstract
Intracellular RNA localization is a widespread and dynamic phenomenon that compartmentalizes gene expression and contributes to the functional polarization of cells. Thus far, mechanisms of RNA localization identified in Drosophila have been based on a few RNAs in different tissues, and a comprehensive mechanistic analysis of RNA localization in a single tissue is lacking. Here, by subcellular spatial transcriptomics we identify RNAs localized in the apical and basal domains of the columnar follicular epithelium (FE) and we analyze the mechanisms mediating their localization. Whereas the dynein/BicD/Egl machinery controls apical RNA localization, basally-targeted RNAs require kinesin-1 to overcome a default dynein-mediated transport. Moreover, a non-canonical, translation- and dynein-dependent mechanism mediates apical localization of a subgroup of dynein-activating adaptor-encoding RNAs (BicD, Bsg25D, hook). Altogether, our study identifies at least three mechanisms underlying RNA localization in the FE, and suggests a possible link between RNA localization and dynein/dynactin/adaptor complex formation in vivo.
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17
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Mikl M, Eletto D, Nijim M, Lee M, Lafzi A, Mhamedi F, David O, Sain SB, Handler K, Moor AE. A massively parallel reporter assay reveals focused and broadly encoded RNA localization signals in neurons. Nucleic Acids Res 2022; 50:10643-10664. [PMID: 36156153 PMCID: PMC9561380 DOI: 10.1093/nar/gkac806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 08/24/2022] [Accepted: 09/08/2022] [Indexed: 11/14/2022] Open
Abstract
Asymmetric subcellular mRNA localization allows spatial regulation of gene expression and functional compartmentalization. In neurons, localization of specific mRNAs to neurites is essential for cellular functioning. However, it is largely unknown how transcript sorting works in a sequence-specific manner. Here, we combined subcellular transcriptomics and massively parallel reporter assays and tested ∼50 000 sequences for their ability to localize to neurites. Mapping the localization potential of >300 genes revealed two ways neurite targeting can be achieved: focused localization motifs and broadly encoded localization potential. We characterized the interplay between RNA stability and localization and identified motifs able to bias localization towards neurite or soma as well as the trans-acting factors required for their action. Based on our data, we devised machine learning models that were able to predict the localization behavior of novel reporter sequences. Testing this predictor on native mRNA sequencing data showed good agreement between predicted and observed localization potential, suggesting that the rules uncovered by our MPRA also apply to the localization of native full-length transcripts.
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Affiliation(s)
- Martin Mikl
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.,Department of Human Biology, University of Haifa, Haifa, Israel
| | - Davide Eletto
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Malak Nijim
- Department of Human Biology, University of Haifa, Haifa, Israel
| | - Minkyoung Lee
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Atefeh Lafzi
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Farah Mhamedi
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Orit David
- Department of Human Biology, University of Haifa, Haifa, Israel
| | - Simona Baghai Sain
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Kristina Handler
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Andreas E Moor
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
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18
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Sato K, Sakai M, Ishii A, Maehata K, Takada Y, Yasuda K, Kotani T. Identification of embryonic RNA granules that act as sites of mRNA translation after changing their physical properties. iScience 2022; 25:104344. [PMID: 35620421 PMCID: PMC9127168 DOI: 10.1016/j.isci.2022.104344] [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: 11/09/2021] [Revised: 03/16/2022] [Accepted: 04/27/2022] [Indexed: 11/08/2022] Open
Abstract
Fertilized eggs begin to translate mRNAs at appropriate times and placements to control development, but how the translation is regulated remains unclear. Here, we found that pou5f3 mRNA encoding a transcriptional factor essential for development formed granules in a dormant state in zebrafish oocytes. Although the number of pou5f3 granules remained constant, Pou5f3 protein accumulated after fertilization. Intriguingly, signals of newly synthesized peptides and a ribosomal protein became colocalized with pou5f3 granules after fertilization and, moreover, nascent Pou5f3 was shown to be synthesized in the granules. This functional change was accompanied by changes in the state and internal structure of granules. Dissolution of the granules reduced the rate of protein synthesis. Similarly, nanog and sox19b mRNAs in zebrafish and Pou5f1/Oct4 mRNA in mouse assembled into granules. Our results reveal that subcellular compartments, termed embryonic RNA granules, function as activation sites of translation after changing physical properties for directing vertebrate development.
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Affiliation(s)
- Keisuke Sato
- Biosystems Science Course, Graduate School of Life Science, Hokkaido University, Sapporo 060-0810, Japan
| | - Moeko Sakai
- Biosystems Science Course, Graduate School of Life Science, Hokkaido University, Sapporo 060-0810, Japan
| | - Anna Ishii
- Biosystems Science Course, Graduate School of Life Science, Hokkaido University, Sapporo 060-0810, Japan
| | - Kaori Maehata
- Biosystems Science Course, Graduate School of Life Science, Hokkaido University, Sapporo 060-0810, Japan
| | - Yuki Takada
- Biosystems Science Course, Graduate School of Life Science, Hokkaido University, Sapporo 060-0810, Japan
| | - Kyota Yasuda
- Department of Mathematical and Life Sciences, Graduate School of Integrated Sciences for Life, Hiroshima University, Hiroshima 739-8526, Japan
- Research Center for the Mathematics on Chromatin Live Dynamics, Hiroshima University, Hiroshima 739-8526, Japan
| | - Tomoya Kotani
- Biosystems Science Course, Graduate School of Life Science, Hokkaido University, Sapporo 060-0810, Japan
- Department of Biological Sciences, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan
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19
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Vaidyanathan AK. Images in scientific writing. J Indian Prosthodont Soc 2022; 22:107-110. [PMID: 36511021 PMCID: PMC9132506 DOI: 10.4103/jips.jips_137_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Affiliation(s)
- Anand Kumar Vaidyanathan
- Editor in Chief, Journal of Indian Prosthodontic Society Professor, Department of Prosthodontics, Faculty of Dental Sciences, SRIHER(DU), Porur, Chennai, Tamil Nadu, India,Address for correspondence: Dr. Anand Kumar Vaidyanathan, Professor, Department of Prosthodontics, Faculty of Dental Sciences, SRIHER(DU), Porur, Chennai, Tamil Nadu, India. E-mail:
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20
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Avellaneda J, Schnorrer F. Tagging Drosophila Proteins with Genetically Encoded Fluorophores. Methods Mol Biol 2022; 2540:251-268. [PMID: 35980582 DOI: 10.1007/978-1-0716-2541-5_12] [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: 06/15/2023]
Abstract
Proteins are typically not expressed homogeneously in all cells of a complex organism. Within cells, proteins can dynamically change locations, be transported to their destinations, or be degraded upon external signals. Thus, revealing the cellular and subcellular localizations as well as the temporal dynamics of a protein provides important insights into the possible function of the studied protein. Tagging a protein of interest with a genetically encoded fluorophore enables us to follow its expression dynamics in the living organism. Here, we summarize the genetic resources available for tagged Drosophila proteins that assist in studying protein expression and dynamics. We also review the various techniques used in the past and at present to tag a protein of interest with a genetically encoded fluorophore. Comparing the pros and cons of the various techniques guides the reader to judge the suitable applications possible with these tagged proteins in Drosophila.
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Affiliation(s)
- Jerome Avellaneda
- Aix Marseille University, CNRS, IBDM, Turing Centre for Living Systems, Marseille, France
| | - Frank Schnorrer
- Aix Marseille University, CNRS, IBDM, Turing Centre for Living Systems, Marseille, France.
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21
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Nachtigall PG, Bovolenta LA. Computational Detection of MicroRNA Targets. Methods Mol Biol 2022; 2257:187-209. [PMID: 34432280 DOI: 10.1007/978-1-0716-1170-8_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
MicroRNAs (miRNAs) are small noncoding RNAs that are recognized as posttranscriptional regulators of gene expression. These molecules have been shown to play important roles in several cellular processes. MiRNAs act on their target by guiding the RISC complex and binding to the mRNA molecule. Thus, it is recognized that the function of a miRNA is determined by the function of its target (s). By using high-throughput methodologies, novel miRNAs are being identified, but their functions remain uncharted. Target validation is crucial to properly understand the specific role of a miRNA in a cellular pathway. However, molecular techniques for experimental validation of miRNA-target interaction are expensive, time-consuming, laborious, and can be not accurate in inferring true interactions. Thus, accurate miRNA target predictions are helpful to understand the functions of miRNAs. There are several algorithms proposed for target prediction and databases containing miRNA-target information. However, these available computational tools for prediction still generate a large number of false positives and fail to detect a considerable number of true targets, which indicates the necessity of highly confident approaches to identify bona fide miRNA-target interactions. This chapter focuses on tools and strategies used for miRNA target prediction, by providing practical insights and outlooks.
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Affiliation(s)
- Pedro Gabriel Nachtigall
- Laboratório Especial de Toxinologia Aplicada, CeTICS, Instituto Butantan, São Paulo, SP, Brazil.
| | - Luiz Augusto Bovolenta
- Department of Morphology, Institute of Biosciences of Botucatu (IBB), São Paulo State University (UNESP), Botucatu, Brazil
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22
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Tocchini C, Rohner M, Guerard L, Ray P, Von Stetina SE, Mango SE. Translation-dependent mRNA localization to Caenorhabditis elegans adherens junctions. Development 2021; 148:273751. [PMID: 34846063 PMCID: PMC8722394 DOI: 10.1242/dev.200027] [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: 07/16/2021] [Accepted: 11/08/2021] [Indexed: 11/27/2022]
Abstract
mRNA localization is an evolutionarily widespread phenomenon that can facilitate subcellular protein targeting. Extensive work has focused on mRNA targeting through ‘zip-codes’ within untranslated regions (UTRs), whereas much less is known about translation-dependent cues. Here, we examine mRNA localization in Caenorhabditis elegans embryonic epithelia. From an smFISH-based survey, we identified mRNAs associated with the cell membrane or cortex, and with apical junctions in a stage- and cell type-specific manner. Mutational analyses for one of these transcripts, dlg-1/discs large, revealed that it relied on a translation-dependent process and did not require its 5′ or 3′ UTRs. We suggest a model in which dlg-1 transcripts are co-translationally localized with the nascent protein: first the translating complex goes to the cell membrane using sequences located at the C-terminal/3′ end, and then apically using N-terminal/5′ sequences. These studies identify a translation-based process for mRNA localization within developing epithelia and determine the necessary cis-acting sequences for dlg-1 mRNA targeting. Summary: An smFISH-based survey identifies a subset of mRNAs encoding junctional components that localize at or in proximity to the adherens junction through a translation-dependent mechanism.
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Affiliation(s)
| | - Michèle Rohner
- Biozentrum, University of Basel, 4056 Basel, Switzerland
| | | | - Poulomi Ray
- Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Susan E Mango
- Biozentrum, University of Basel, 4056 Basel, Switzerland
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23
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Savulescu AF, Bouilhol E, Beaume N, Nikolski M. Prediction of RNA subcellular localization: Learning from heterogeneous data sources. iScience 2021; 24:103298. [PMID: 34765919 PMCID: PMC8571491 DOI: 10.1016/j.isci.2021.103298] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
RNA subcellular localization has recently emerged as a widespread phenomenon, which may apply to the majority of RNAs. The two main sources of data for characterization of RNA localization are sequence features and microscopy images, such as obtained from single-molecule fluorescent in situ hybridization-based techniques. Although such imaging data are ideal for characterization of RNA distribution, these techniques remain costly, time-consuming, and technically challenging. Given these limitations, imaging data exist only for a limited number of RNAs. We argue that the field of RNA localization would greatly benefit from complementary techniques able to characterize location of RNA. Here we discuss the importance of RNA localization and the current methodology in the field, followed by an introduction on prediction of location of molecules. We then suggest a machine learning approach based on the integration between imaging localization data and sequence-based data to assist in characterization of RNA localization on a transcriptome level.
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Affiliation(s)
- Anca Flavia Savulescu
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine, Faculty of Health Sciences, University of Cape Town, 7925 Cape Town, South Africa
| | - Emmanuel Bouilhol
- Université de Bordeaux, Bordeaux Bioinformatics Center, Bordeaux, France
- Université de Bordeaux, CNRS, IBGC, UMR 5095, Bordeaux, France
| | - Nicolas Beaume
- Division of Medical Virology, Faculty of Health Sciences, University of Cape Town,7925 Cape Town, South Africa
| | - Macha Nikolski
- Université de Bordeaux, Bordeaux Bioinformatics Center, Bordeaux, France
- Université de Bordeaux, CNRS, IBGC, UMR 5095, Bordeaux, France
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24
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Markmiller S, Sathe S, Server KL, Nguyen TB, Fulzele A, Cody N, Javaherian A, Broski S, Finkbeiner S, Bennett EJ, Lécuyer E, Yeo GW. Persistent mRNA localization defects and cell death in ALS neurons caused by transient cellular stress. Cell Rep 2021; 36:109685. [PMID: 34496257 DOI: 10.1016/j.celrep.2021.109685] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 07/19/2021] [Accepted: 08/17/2021] [Indexed: 12/15/2022] Open
Abstract
Persistent cytoplasmic aggregates containing RNA binding proteins (RBPs) are central to the pathogenesis of late-onset neurodegenerative disorders such as amyotrophic lateral sclerosis (ALS). These aggregates share components, molecular mechanisms, and cellular protein quality control pathways with stress-induced RNA granules (SGs). Here, we assess the impact of stress on the global mRNA localization landscape of human pluripotent stem cell-derived motor neurons (PSC-MNs) using subcellular fractionation with RNA sequencing and proteomics. Transient stress disrupts subcellular RNA and protein distributions, alters the RNA binding profile of SG- and ALS-relevant RBPs and recapitulates disease-associated molecular changes such as aberrant splicing of STMN2. Although neurotypical PSC-MNs re-establish a normal subcellular localization landscape upon recovery from stress, cells harboring ALS-linked mutations are intransigent and display a delayed-onset increase in neuronal cell death. Our results highlight subcellular molecular distributions as predictive features and underscore the utility of cellular stress as a paradigm to study ALS-relevant mechanisms.
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Affiliation(s)
- Sebastian Markmiller
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, 92039, USA
| | - Shashank Sathe
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, 92039, USA
| | - Kari L Server
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, 92039, USA
| | - Thai B Nguyen
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, 92039, USA
| | - Amit Fulzele
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Neal Cody
- Institut de Recherches Cliniques de Montréal, Montréal, QC H2W 1R7, Canada
| | - Ashkan Javaherian
- Center for Systems and Therapeutics, Gladstone Institutes, San Francisco, CA 94158, USA; Taube/Koret Center for Neurodegenerative Disease Research, Gladstone Institutes, San Francisco, CA 94158, USA
| | - Sara Broski
- Center for Systems and Therapeutics, Gladstone Institutes, San Francisco, CA 94158, USA; Taube/Koret Center for Neurodegenerative Disease Research, Gladstone Institutes, San Francisco, CA 94158, USA
| | - Steven Finkbeiner
- Center for Systems and Therapeutics, Gladstone Institutes, San Francisco, CA 94158, USA; Taube/Koret Center for Neurodegenerative Disease Research, Gladstone Institutes, San Francisco, CA 94158, USA; Departments of Neurology and Physiology, University of California-San Francisco, San Francisco, CA 94158, USA
| | - Eric J Bennett
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Eric Lécuyer
- Institut de Recherches Cliniques de Montréal, Montréal, QC H2W 1R7, Canada; Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, QC H3C 3J7, Canada; Division of Experimental Medicine, McGill University, Montréal, QC H3A 1A3, Canada
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, 92039, USA.
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25
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Mishra N, Heisenberg CP. Dissecting Organismal Morphogenesis by Bridging Genetics and Biophysics. Annu Rev Genet 2021; 55:209-233. [PMID: 34460295 DOI: 10.1146/annurev-genet-071819-103748] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Multicellular organisms develop complex shapes from much simpler, single-celled zygotes through a process commonly called morphogenesis. Morphogenesis involves an interplay between several factors, ranging from the gene regulatory networks determining cell fate and differentiation to the mechanical processes underlying cell and tissue shape changes. Thus, the study of morphogenesis has historically been based on multidisciplinary approaches at the interface of biology with physics and mathematics. Recent technological advances have further improved our ability to study morphogenesis by bridging the gap between the genetic and biophysical factors through the development of new tools for visualizing, analyzing, and perturbing these factors and their biochemical intermediaries. Here, we review how a combination of genetic, microscopic, biophysical, and biochemical approaches has aided our attempts to understand morphogenesis and discuss potential approaches that may be beneficial to such an inquiry in the future. Expected final online publication date for the Annual Review of Genetics, Volume 55 is November 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Nikhil Mishra
- Institute of Science and Technology Austria, 3400 Klosterneuburg, Austria; ,
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26
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Allen AM, B Sokolowski M. Expression of the foraging gene in adult Drosophila melanogaster. J Neurogenet 2021; 35:192-212. [PMID: 34382904 PMCID: PMC8846931 DOI: 10.1080/01677063.2021.1941946] [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] [Indexed: 10/25/2022]
Abstract
The foraging gene in Drosophila melanogaster, which encodes a cGMP-dependent protein kinase, is a highly conserved, complex gene with multiple pleiotropic behavioral and physiological functions in both the larval and adult fly. Adult foraging expression is less well characterized than in the larva. We characterized foraging expression in the brain, gastric system, and reproductive systems using a T2A-Gal4 gene-trap allele. In the brain, foraging expression appears to be restricted to multiple sub-types of glia. This glial-specific cellular localization of foraging was supported by single-cell transcriptomic atlases of the adult brain. foraging is extensively expressed in most cell types in the gastric and reproductive systems. We then mapped multiple cis-regulatory elements responsible for parts of the observed expression patterns by a nested cloned promoter-Gal4 analysis. The mapped cis-regulatory elements were consistently modular when comparing the larval and adult expression patterns. These new data using the T2A-Gal4 gene-trap and cloned foraging promoter fusion GAL4's are discussed with respect to previous work using an anti-FOR antibody, which we show here to be non-specific. Future studies of foraging's function will consider roles for glial subtypes and peripheral tissues (gastric and reproductive systems) in foraging's pleiotropic behavioral and physiological effects.
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Affiliation(s)
- Aaron M Allen
- Department of Cell and Systems Biology, University of Toronto, Toronto, Canada.,Centre for Neural Circuits and Behaviour, University of Oxford, Oxford, UK
| | - Marla B Sokolowski
- Department of Cell and Systems Biology, University of Toronto, Toronto, Canada.,Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada.,Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Canada
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27
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Schroeder CM, Tomlin SA, Mejia Natividad I, Valenzuela JR, Young JM, Malik HS. An actin-related protein that is most highly expressed in Drosophila testes is critical for embryonic development. eLife 2021; 10:71279. [PMID: 34282725 PMCID: PMC8291977 DOI: 10.7554/elife.71279] [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: 06/16/2021] [Accepted: 06/20/2021] [Indexed: 12/25/2022] Open
Abstract
Most actin-related proteins (Arps) are highly conserved and carry out well-defined cellular functions in eukaryotes. However, many lineages like Drosophila and mammals encode divergent non-canonical Arps whose roles remain unknown. To elucidate the function of non-canonical Arps, we focus on Arp53D, which is highly expressed in testes and retained throughout Drosophila evolution. We show that Arp53D localizes to fusomes and actin cones, two germline-specific actin structures critical for sperm maturation, via a unique N-terminal tail. Surprisingly, we find that male fertility is not impaired upon Arp53D loss, yet population cage experiments reveal that Arp53D is required for optimal fitness in Drosophila melanogaster. To reconcile these findings, we focus on Arp53D function in ovaries and embryos where it is only weakly expressed. We find that under heat stress Arp53D-knockout (KO) females lay embryos with reduced nuclear integrity and lower viability; these defects are further exacerbated in Arp53D-KO embryos. Thus, despite its relatively recent evolution and primarily testis-specific expression, non-canonical Arp53D is required for optimal embryonic development in Drosophila.
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Affiliation(s)
- Courtney M Schroeder
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States
| | - Sarah A Tomlin
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States.,Howard Hughes Medical Institute, Fred Hutchinson Cancer Research Center, Seattle, United States
| | - Isabel Mejia Natividad
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States.,Howard Hughes Medical Institute, Fred Hutchinson Cancer Research Center, Seattle, United States
| | - John R Valenzuela
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States
| | - Janet M Young
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States.,Howard Hughes Medical Institute, Fred Hutchinson Cancer Research Center, Seattle, United States
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28
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Holler K, Neuschulz A, Drewe-Boß P, Mintcheva J, Spanjaard B, Arsiè R, Ohler U, Landthaler M, Junker JP. Spatio-temporal mRNA tracking in the early zebrafish embryo. Nat Commun 2021; 12:3358. [PMID: 34099733 PMCID: PMC8184788 DOI: 10.1038/s41467-021-23834-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 05/18/2021] [Indexed: 01/17/2023] Open
Abstract
Early stages of embryogenesis depend on subcellular localization and transport of maternal mRNA. However, systematic analysis of these processes is hindered by a lack of spatio-temporal information in single-cell RNA sequencing. Here, we combine spatially-resolved transcriptomics and single-cell RNA labeling to perform a spatio-temporal analysis of the transcriptome during early zebrafish development. We measure spatial localization of mRNA molecules within the one-cell stage embryo, which allows us to identify a class of mRNAs that are specifically localized at an extraembryonic position, the vegetal pole. Furthermore, we establish a method for high-throughput single-cell RNA labeling in early zebrafish embryos, which enables us to follow the fate of individual maternal transcripts until gastrulation. This approach reveals that many localized transcripts are specifically transported to the primordial germ cells. Finally, we acquire spatial transcriptomes of two xenopus species and compare evolutionary conservation of localized genes as well as enriched sequence motifs.
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Affiliation(s)
- Karoline Holler
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Anika Neuschulz
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Philipp Drewe-Boß
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Janita Mintcheva
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Bastiaan Spanjaard
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Roberto Arsiè
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Uwe Ohler
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany
- Department of Biology, Humboldt University, Berlin, Germany
| | - Markus Landthaler
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany
- IRI Life Science, Institute of Biology, Humboldt University, Berlin, Germany
| | - Jan Philipp Junker
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
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29
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Li Z, Zhang P, Zhang R, Wang X, Tse YC, Zhang H. A collection of toolkit strains reveals distinct localization and dynamics of membrane-associated transcripts in epithelia. Cell Rep 2021; 35:109072. [PMID: 33951426 DOI: 10.1016/j.celrep.2021.109072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 02/10/2021] [Accepted: 04/11/2021] [Indexed: 01/10/2023] Open
Abstract
Visualizing mRNA in real time in vivo at high resolution is critical for a full understanding of the spatiotemporal dynamics of gene regulation and function. Here, using a PP7/PCP-based mRNA-tagging approach, we construct a collection of tissue-specific and differentially expressed toolkit strains for visualizing mRNAs encoding apical, basolateral, and junctional proteins in Caenorhabditis elegans epithelia. We precisely delineate the spatiotemporal organization and dynamics of these transcripts across multiple subcellular compartments and tissues. Remarkably, all the transcripts exhibit an asymmetric, membrane-associated localization during epithelial polarization and maturation, which suggests that mRNA localization is a prerequisite for epithelial polarization and function. Single-particle tracking reveals striking features of the transport dynamics of the mRNAs in a gene-specific, compartment-linked, and time-resolved manner. The toolkit can be used to identify the cis-regulatory elements and trans-acting factors for mRNA localization. This study provides a valuable resource to investigate complex RNA dynamics in epithelial polarity and morphogenesis.
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Affiliation(s)
- Zhimin Li
- Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR 999078, China
| | - Pei Zhang
- Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR 999078, China
| | - Ruotong Zhang
- Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR 999078, China
| | - Xinyan Wang
- Core Research Facilities, Department of Biology, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yu Chung Tse
- Core Research Facilities, Department of Biology, Southern University of Science and Technology, Shenzhen 518055, China
| | - Hongjie Zhang
- Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR 999078, China.
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30
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Mohr SE, Tattikota SG, Xu J, Zirin J, Hu Y, Perrimon N. Methods and tools for spatial mapping of single-cell RNAseq clusters in Drosophila. Genetics 2021; 217:6156631. [PMID: 33713129 DOI: 10.1093/genetics/iyab019] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 02/02/2021] [Indexed: 01/26/2023] Open
Abstract
Single-cell RNA sequencing (scRNAseq) experiments provide a powerful means to identify clusters of cells that share common gene expression signatures. A major challenge in scRNAseq studies is to map the clusters to specific anatomical regions along the body and within tissues. Existing data, such as information obtained from large-scale in situ RNA hybridization studies, cell type specific transcriptomics, gene expression reporters, antibody stainings, and fluorescent tagged proteins, can help to map clusters to anatomy. However, in many cases, additional validation is needed to precisely map the spatial location of cells in clusters. Several approaches are available for spatial resolution in Drosophila, including mining of existing datasets, and use of existing or new tools for direct or indirect detection of RNA, or direct detection of proteins. Here, we review available resources and emerging technologies that will facilitate spatial mapping of scRNAseq clusters at high resolution in Drosophila. Importantly, we discuss the need, available approaches, and reagents for multiplexing gene expression detection in situ, as in most cases scRNAseq clusters are defined by the unique coexpression of sets of genes.
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Affiliation(s)
- Stephanie E Mohr
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Sudhir Gopal Tattikota
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jun Xu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jonathan Zirin
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Yanhui Hu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Boston, MA 02115, USA
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31
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Jambor H, Antonietti A, Alicea B, Audisio TL, Auer S, Bhardwaj V, Burgess SJ, Ferling I, Gazda MA, Hoeppner LH, Ilangovan V, Lo H, Olson M, Mohamed SY, Sarabipour S, Varma A, Walavalkar K, Wissink EM, Weissgerber TL. Creating clear and informative image-based figures for scientific publications. PLoS Biol 2021; 19:e3001161. [PMID: 33788834 PMCID: PMC8041175 DOI: 10.1371/journal.pbio.3001161] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 04/12/2021] [Accepted: 02/26/2021] [Indexed: 11/18/2022] Open
Abstract
Scientists routinely use images to display data. Readers often examine figures first; therefore, it is important that figures are accessible to a broad audience. Many resources discuss fraudulent image manipulation and technical specifications for image acquisition; however, data on the legibility and interpretability of images are scarce. We systematically examined these factors in non-blot images published in the top 15 journals in 3 fields; plant sciences, cell biology, and physiology (n = 580 papers). Common problems included missing scale bars, misplaced or poorly marked insets, images or labels that were not accessible to colorblind readers, and insufficient explanations of colors, labels, annotations, or the species and tissue or object depicted in the image. Papers that met all good practice criteria examined for all image-based figures were uncommon (physiology 16%, cell biology 12%, plant sciences 2%). We present detailed descriptions and visual examples to help scientists avoid common pitfalls when publishing images. Our recommendations address image magnification, scale information, insets, annotation, and color and may encourage discussion about quality standards for bioimage publishing.
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Affiliation(s)
- Helena Jambor
- Mildred Scheel Early Career Center, Medical Faculty, Technische Universität Dresden, Dresden, Germany
| | - Alberto Antonietti
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Bradly Alicea
- Orthogonal Research and Education Laboratory, Champaign, IL, United States of America
| | - Tracy L. Audisio
- Evolutionary Genomics Unit, Okinawa Institute of Science and Technology, Okinawa, Japan
| | - Susann Auer
- Department of Plant Physiology, Faculty of Biology, Technische Universität Dresden, Dresden, Germany
| | - Vivek Bhardwaj
- Max Plank Institute of Immunology and Epigenetics, Freiburg, Germany
- Hubrecht Institute, Utrecht, the Netherlands
| | - Steven J. Burgess
- Carl R Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
| | - Iuliia Ferling
- Junior Research Group Evolution of Microbial Interactions, Leibniz Institute for Natural Product Research and Infection Biology—Hans Knöll Institute (HKI), Jena, Germany
| | - Małgorzata Anna Gazda
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Campus Agrário de Vairão, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - Luke H. Hoeppner
- The Hormel Institute, University of Minnesota, Austin, MN, United States of America
- The Masonic Cancer Center, University of Minnesota, Minneapolis, MN, United States of America
| | | | - Hung Lo
- Neuroscience Research Center, Charité—Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt—Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Berlin, Germany
| | - Mischa Olson
- Section of Plant Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY, United States of America
| | - Salem Yousef Mohamed
- Gastroenterology and Hepatology Unit, Internal Medicine Department, Faculty of Medicine, University of Zagazig, Zagazig, Egypt
| | - Sarvenaz Sarabipour
- Institute for Computational Medicine and the Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Aalok Varma
- National Centre for Biological Sciences (NCBS), Tata Institute of Fundamental Research (TIFR), Bangalore, Karnataka, India
| | - Kaivalya Walavalkar
- National Centre for Biological Sciences (NCBS), Tata Institute of Fundamental Research (TIFR), Bangalore, Karnataka, India
| | - Erin M. Wissink
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, United States of America
| | - Tracey L. Weissgerber
- Berlin Institute of Health at Charité–Universitätsmedizin Berlin, QUEST Center, Berlin, Germany
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32
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Bhagavatula S, Knust E. A putative stem-loop structure in Drosophila crumbs is required for mRNA localisation in epithelia and germline cells. J Cell Sci 2021; 134:224086. [PMID: 33310910 DOI: 10.1242/jcs.236497] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 11/30/2020] [Indexed: 01/02/2023] Open
Abstract
Crumbs (Crb) is an evolutionarily conserved transmembrane protein localised to the apical membrane of epithelial cells. Loss or mislocalisation of Crb is often associated with disruption of apicobasal cell polarity. crb mRNA is also apically enriched in epithelial cells, and, as shown here, accumulates in the oocyte of developing egg chambers. We narrowed down the localisation element (LE) of crb mRNA to 47 nucleotides, which form a putative stem-loop structure that may be recognised by Egalitarian (Egl). Mutations in conserved nucleotides abrogate apical transport. crb mRNA enrichment in the oocyte is affected in egl mutant egg chambers. A CRISPR-based genomic deletion of the crb locus that includes the LE disrupts asymmetric crb mRNA localisation in epithelia and prevents its accumulation in the oocyte during early stages of oogenesis, but does not affect Crb protein localisation in embryonic and follicular epithelia. However, flies lacking the LE show ectopic Crb protein expression in the nurse cells. These data suggest an additional role for the Drosophila 3'-UTR in regulating translation in a tissue-specific manner.This article has an associated First Person interview with the first author of the paper.
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Affiliation(s)
- Srija Bhagavatula
- Max-Planck Institute for Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | - Elisabeth Knust
- Max-Planck Institute for Molecular Cell Biology and Genetics, 01307 Dresden, Germany
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33
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Schmied C, Jambor HK. Effective image visualization for publications - a workflow using open access tools and concepts. F1000Res 2020; 9:1373. [PMID: 33708381 PMCID: PMC7931257 DOI: 10.12688/f1000research.27140.1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/18/2020] [Indexed: 09/16/2023] Open
Abstract
Today, 25% of figures in biomedical publications contain images of various types, e.g. photos, light or electron microscopy images, x-rays, or even sketches or drawings. Despite being widely used, published images may be ineffective or illegible since details are not visible, information is missing or they have been inappropriately processed. The vast majority of such imperfect images can be attributed to the lack of experience of the authors as undergraduate and graduate curricula lack courses on image acquisition, ethical processing, and visualization. Here we present a step-by-step image processing workflow for effective and ethical image presentation. The workflow is aimed to allow novice users with little or no prior experience in image processing to implement the essential steps towards publishing images. The workflow is based on the open source software Fiji, but its principles can be applied with other software packages. All image processing steps discussed here, and complementary suggestions for image presentation, are shown in an accessible "cheat sheet"-style format, enabling wide distribution, use, and adoption to more specific needs.
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Affiliation(s)
- Christopher Schmied
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie im Forschungsverbund Berlin e.V. (FMP), Berlin, Germany
| | - Helena Klara Jambor
- Mildred-Scheel Early Career Center, Medical Faculty, Technische Universität Dresden, Dresden, Germany
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34
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Schmied C, Jambor HK. Effective image visualization for publications - a workflow using open access tools and concepts. F1000Res 2020; 9:1373. [PMID: 33708381 PMCID: PMC7931257 DOI: 10.12688/f1000research.27140.2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/08/2021] [Indexed: 12/20/2022] Open
Abstract
Today, 25% of figures in biomedical publications contain images of various types, e.g. photos, light or electron microscopy images, x-rays, or even sketches or drawings. Despite being widely used, published images may be ineffective or illegible since details are not visible, information is missing or they have been inappropriately processed. The vast majority of such imperfect images can be attributed to the lack of experience of the authors as undergraduate and graduate curricula lack courses on image acquisition, ethical processing, and visualization. Here we present a step-by-step image processing workflow for effective and ethical image presentation. The workflow is aimed to allow novice users with little or no prior experience in image processing to implement the essential steps towards publishing images. The workflow is based on the open source software Fiji, but its principles can be applied with other software packages. All image processing steps discussed here, and complementary suggestions for image presentation, are shown in an accessible "cheat sheet"-style format, enabling wide distribution, use, and adoption to more specific needs.
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Affiliation(s)
- Christopher Schmied
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie im Forschungsverbund Berlin e.V. (FMP), Berlin, Germany
| | - Helena Klara Jambor
- Mildred-Scheel Early Career Center, Medical Faculty, Technische Universität Dresden, Dresden, Germany
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35
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Detecting New Allies: Modifier Screen Identifies a Genetic Interaction Between Imaginal disc growth factor 3 and combover, a Rho-kinase Substrate, During Dorsal Appendage Tube Formation in Drosophila. G3-GENES GENOMES GENETICS 2020; 10:3585-3599. [PMID: 32855169 PMCID: PMC7534437 DOI: 10.1534/g3.120.401476] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Biological tube formation underlies organ development and, when disrupted, can cause severe birth defects. To investigate the genetic basis of tubulogenesis, we study the formation of Drosophila melanogaster eggshell structures, called dorsal appendages, which are produced by epithelial tubes. Previously we found that precise levels of Drosophila Chitinase-Like Proteins (CLPs), encoded by the Imaginal disc growth factor (Idgf) gene family, are needed to regulate dorsal-appendage tube closure and tube migration. To identify factors that act in the Idgf pathway, we developed a genetic modifier screen based on the finding that overexpressing Idgf3 causes dorsal appendage defects with ∼50% frequency. Using a library of partially overlapping heterozygous deficiencies, we scanned chromosome 3L and found regions that enhanced or suppressed the Idgf3-overexpression phenotype. Using smaller deletions, RNAi, and mutant alleles, we further mapped five regions and refined the interactions to 58 candidate genes. Importantly, mutant alleles identified combover (cmb), a substrate of Rho-kinase (Rok) and a component of the Planar Cell Polarity (PCP) pathway, as an Idgf3-interacting gene: loss of function enhanced while gain of function suppressed the dorsal appendage defects. Since PCP drives cell intercalation in other systems, we asked if cmb/+ affected cell intercalation in our model, but we found no evidence of its involvement in this step. Instead, we found that loss of cmb dominantly enhanced tube defects associated with Idgf3 overexpression by expanding the apical area of dorsal appendage cells. Apical surface area determines tube volume and shape; in this way, Idgf3 and cmb regulate tube morphology.
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Malinka F, Železný F, Kléma J. Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator. BioData Min 2020; 13:13. [PMID: 32905086 PMCID: PMC7466824 DOI: 10.1186/s13040-020-00219-6] [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: 04/06/2020] [Accepted: 07/01/2020] [Indexed: 11/10/2022] Open
Abstract
Background Identification of non-trivial and meaningful patterns in omics data is one of the most important biological tasks. The patterns help to better understand biological systems and interpret experimental outcomes. A well-established method serving to explain such biological data is Gene Set Enrichment Analysis. However, this type of analysis is restricted to a specific type of evaluation. Abstracting from details, the analyst provides a sorted list of genes and ontological annotations of the individual genes; the method outputs a subset of ontological terms enriched in the gene list. Here, in contrary to enrichment analysis, we introduce a new tool/framework that allows for the induction of more complex patterns of 2-dimensional binary omics data. This extension allows to discover and describe semantically coherent biclusters. Results We present a new rapid method called sem1R that reveals interpretable hidden rules in omics data. These rules capture semantic differences between two classes: a target class as a collection of positive examples and a non-target class containing negative examples. The method is inspired by the CN2 rule learner and introduces a new refinement operator that exploits prior knowledge in the form of ontologies. In our work this knowledge serves to create accurate and interpretable rules. The novel refinement operator uses two reduction procedures: Redundant Generalization and Redundant Non-potential, both of which help to dramatically prune the rule space and consequently, speed-up the entire process of rule induction in comparison with the traditional refinement operator as is presented in CN2. Conclusions Efficiency and effectivity of the novel refinement operator were tested on three real different gene expression datasets. Concretely, the Dresden Ovary Dataset, DISC, and m2816 were employed. The experiments show that the ontology-based refinement operator speeds-up the pattern induction drastically. The algorithm is written in C++ and is published as an R package available at http://github.com/fmalinka/sem1r.
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Affiliation(s)
- František Malinka
- Department of Computer Science, Czech Technical University in Prague, Karlovo náměstí 13, Prague, 121 35 Czech Republic.,Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Filip Železný
- Department of Computer Science, Czech Technical University in Prague, Karlovo náměstí 13, Prague, 121 35 Czech Republic
| | - Jiří Kléma
- Department of Computer Science, Czech Technical University in Prague, Karlovo náměstí 13, Prague, 121 35 Czech Republic
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37
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A Dual Protein-mRNA Localization Screen Reveals Compartmentalized Translation and Widespread Co-translational RNA Targeting. Dev Cell 2020; 54:773-791.e5. [PMID: 32783880 DOI: 10.1016/j.devcel.2020.07.010] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 06/01/2020] [Accepted: 07/14/2020] [Indexed: 12/21/2022]
Abstract
Local translation allows spatial control of gene expression. Here, we performed a dual protein-mRNA localization screen, using smFISH on 523 human cell lines expressing GFP-tagged genes. 32 mRNAs displayed specific cytoplasmic localizations with local translation at unexpected locations, including cytoplasmic protrusions, cell edges, endosomes, Golgi, the nuclear envelope, and centrosomes, the latter being cell-cycle-dependent. Automated classification of mRNA localization patterns revealed a high degree of intercellular heterogeneity. Surprisingly, mRNA localization frequently required ongoing translation, indicating widespread co-translational RNA targeting. Interestingly, while P-body accumulation was frequent (15 mRNAs), four mRNAs accumulated in foci that were distinct structures. These foci lacked the mature protein, but nascent polypeptide imaging showed that they were specialized translation factories. For β-catenin, foci formation was regulated by Wnt, relied on APC-dependent polysome aggregation, and led to nascent protein degradation. Thus, translation factories uniquely regulate nascent protein metabolism and create a fine granular compartmentalization of translation.
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38
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Lasko P. Patterning the Drosophila embryo: A paradigm for RNA-based developmental genetic regulation. WILEY INTERDISCIPLINARY REVIEWS-RNA 2020; 11:e1610. [PMID: 32543002 PMCID: PMC7583483 DOI: 10.1002/wrna.1610] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 05/13/2020] [Accepted: 05/17/2020] [Indexed: 12/16/2022]
Abstract
Embryonic anterior–posterior patterning is established in Drosophila melanogaster by maternally expressed genes. The mRNAs of several of these genes accumulate at either the anterior or posterior pole of the oocyte via a number of mechanisms. Many of these mRNAs are also under elaborate translational regulation. Asymmetric RNA localization coupled with spatially restricted translation ensures that their proteins are restricted to the position necessary for the developmental process that they drive. Bicoid (Bcd), the anterior determinant, and Oskar (Osk), the determinant for primordial germ cells and posterior patterning, have been studied particularly closely. In early embryos an anterior–posterior gradient of Bcd is established, activating transcription of different sets of zygotic genes depending on local Bcd concentration. At the posterior pole, Osk seeds formation of polar granules, ribonucleoprotein complexes that accumulate further mRNAs and proteins involved in posterior patterning and germ cell specification. After fertilization, polar granules associate with posterior nuclei and mature into nuclear germ granules. Osk accumulates in these granules, and either by itself or as part of the granules, stimulates germ cell division. This article is categorized under:RNA Export and Localization > RNA Localization Translation > Translation Regulation RNA in Disease and Development > RNA in Development
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Affiliation(s)
- Paul Lasko
- Department of Biology, McGill University, Montréal, Québec, Canada.,Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
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39
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Trcek T, Douglas TE, Grosch M, Yin Y, Eagle WVI, Gavis ER, Shroff H, Rothenberg E, Lehmann R. Sequence-Independent Self-Assembly of Germ Granule mRNAs into Homotypic Clusters. Mol Cell 2020; 78:941-950.e12. [PMID: 32464092 DOI: 10.1016/j.molcel.2020.05.008] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 02/29/2020] [Accepted: 05/05/2020] [Indexed: 12/12/2022]
Abstract
mRNAs enriched in membraneless condensates provide functional compartmentalization within cells. The mechanisms that recruit transcripts to condensates are under intense study; however, how mRNAs organize once they reach a granule remains poorly understood. Here, we report on a self-sorting mechanism by which multiple mRNAs derived from the same gene assemble into discrete homotypic clusters. We demonstrate that in vivo mRNA localization to granules and self-assembly within granules are governed by different mRNA features: localization is encoded by specific RNA regions, whereas self-assembly involves the entire mRNA, does not involve sequence-specific, ordered intermolecular RNA:RNA interactions, and is thus RNA sequence independent. We propose that the ability of mRNAs to self-sort into homotypic assemblies is an inherent property of an messenger ribonucleoprotein (mRNP) that is augmented under conditions that increase RNA concentration, such as upon enrichment in RNA-protein granules, a process that appears conserved in diverse cellular contexts and organisms.
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Affiliation(s)
- Tatjana Trcek
- HHMI, Skirball Institute of Biomolecular Medicine, Department of Cell Biology, NYU School of Medicine, New York, NY, USA.
| | - Tyler E Douglas
- HHMI, Skirball Institute of Biomolecular Medicine, Department of Cell Biology, NYU School of Medicine, New York, NY, USA
| | - Markus Grosch
- HHMI, Skirball Institute of Biomolecular Medicine, Department of Cell Biology, NYU School of Medicine, New York, NY, USA
| | - Yandong Yin
- Department of Biochemistry and Pharmacology, NYU School of Medicine, New York, NY, USA
| | - Whitby V I Eagle
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Elizabeth R Gavis
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Hari Shroff
- Section on High Resolution Optical Imaging, National Institute of Biomedical Imaging and Bioengineering, NIH, Bethesda, MD, USA
| | - Eli Rothenberg
- Department of Biochemistry and Pharmacology, NYU School of Medicine, New York, NY, USA
| | - Ruth Lehmann
- HHMI, Skirball Institute of Biomolecular Medicine, Department of Cell Biology, NYU School of Medicine, New York, NY, USA.
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40
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Chen Y, Kotian N, Aranjuez G, Chen L, Messer CL, Burtscher A, Sawant K, Ramel D, Wang X, McDonald JA. Protein phosphatase 1 activity controls a balance between collective and single cell modes of migration. eLife 2020; 9:52979. [PMID: 32369438 PMCID: PMC7200163 DOI: 10.7554/elife.52979] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 04/23/2020] [Indexed: 12/12/2022] Open
Abstract
Collective cell migration is central to many developmental and pathological processes. However, the mechanisms that keep cell collectives together and coordinate movement of multiple cells are poorly understood. Using the Drosophila border cell migration model, we find that Protein phosphatase 1 (Pp1) activity controls collective cell cohesion and migration. Inhibition of Pp1 causes border cells to round up, dissociate, and move as single cells with altered motility. We present evidence that Pp1 promotes proper levels of cadherin-catenin complex proteins at cell-cell junctions within the cluster to keep border cells together. Pp1 further restricts actomyosin contractility to the cluster periphery rather than at individual internal border cell contacts. We show that the myosin phosphatase Pp1 complex, which inhibits non-muscle myosin-II (Myo-II) activity, coordinates border cell shape and cluster cohesion. Given the high conservation of Pp1 complexes, this study identifies Pp1 as a major regulator of collective versus single cell migration.
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Affiliation(s)
- Yujun Chen
- Division of Biology, Kansas State University, Manhattan, United States
| | - Nirupama Kotian
- Division of Biology, Kansas State University, Manhattan, United States
| | - George Aranjuez
- Lerner Research Institute, Cleveland Clinic, Cleveland, United States
| | - Lin Chen
- LBCMCP, Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, Toulouse, France
| | - C Luke Messer
- Division of Biology, Kansas State University, Manhattan, United States
| | - Ashley Burtscher
- Lerner Research Institute, Cleveland Clinic, Cleveland, United States
| | - Ketki Sawant
- Division of Biology, Kansas State University, Manhattan, United States
| | - Damien Ramel
- LBCMCP, Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Xiaobo Wang
- LBCMCP, Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, Toulouse, France
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41
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The conserved regulatory basis of mRNA contributions to the early Drosophila embryo differs between the maternal and zygotic genomes. PLoS Genet 2020; 16:e1008645. [PMID: 32226006 PMCID: PMC7145188 DOI: 10.1371/journal.pgen.1008645] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 04/09/2020] [Accepted: 02/03/2020] [Indexed: 02/06/2023] Open
Abstract
The gene products that drive early development are critical for setting up developmental trajectories in all animals. The earliest stages of development are fueled by maternally provided mRNAs until the zygote can take over transcription of its own genome. In early development, both maternally deposited and zygotically transcribed gene products have been well characterized in model systems. Previously, we demonstrated that across the genus Drosophila, maternal and zygotic mRNAs are largely conserved but also showed a surprising amount of change across species, with more differences evolving at the zygotic stage than the maternal stage. In this study, we use comparative methods to elucidate the regulatory mechanisms underlying maternal deposition and zygotic transcription across species. Through motif analysis, we discovered considerable conservation of regulatory mechanisms associated with maternal transcription, as compared to zygotic transcription. We also found that the regulatory mechanisms active in the maternal and zygotic genomes are quite different. For maternally deposited genes, we uncovered many signals that are consistent with transcriptional regulation at the level of chromatin state through factors enriched in the ovary, rather than precisely controlled gene-specific factors. For genes expressed only by the zygotic genome, we found evidence for previously identified regulators such as Zelda and GAGA-factor, with multiple analyses pointing toward gene-specific regulation. The observed mechanisms of regulation are consistent with what is known about regulation in these two genomes: during oogenesis, the maternal genome is optimized to quickly produce a large volume of transcripts to provide to the oocyte; after zygotic genome activation, mechanisms are employed to activate transcription of specific genes in a spatiotemporally precise manner. Thus the genetic architecture of the maternal and zygotic genomes, and the specific requirements for the transcripts present at each stage of embryogenesis, determine the regulatory mechanisms responsible for transcripts present at these stages.
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42
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Dold A, Han H, Liu N, Hildebrandt A, Brüggemann M, Rücklé C, Hänel H, Busch A, Beli P, Zarnack K, König J, Roignant JY, Lasko P. Makorin 1 controls embryonic patterning by alleviating Bruno1-mediated repression of oskar translation. PLoS Genet 2020; 16:e1008581. [PMID: 31978041 PMCID: PMC7001992 DOI: 10.1371/journal.pgen.1008581] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 02/05/2020] [Accepted: 12/20/2019] [Indexed: 11/18/2022] Open
Abstract
Makorins are evolutionary conserved proteins that contain C3H-type zinc finger modules and a RING E3 ubiquitin ligase domain. In Drosophila, maternal Makorin 1 (Mkrn1) has been linked to embryonic patterning but the mechanism remained unsolved. Here, we show that Mkrn1 is essential for axis specification and pole plasm assembly by translational activation of oskar (osk). We demonstrate that Mkrn1 interacts with poly(A) binding protein (pAbp) and binds specifically to osk 3’ UTR in a region adjacent to A-rich sequences. Using Drosophila S2R+ cultured cells we show that this binding site overlaps with a Bruno1 (Bru1) responsive element (BREs) that regulates osk translation. We observe increased association of the translational repressor Bru1 with osk mRNA upon depletion of Mkrn1, indicating that both proteins compete for osk binding. Consistently, reducing Bru1 dosage partially rescues viability and Osk protein level in ovaries from Mkrn1 females. We conclude that Mkrn1 controls embryonic patterning and germ cell formation by specifically activating osk translation, most likely by competing with Bru1 to bind to osk 3’ UTR. To ensure accurate development of the Drosophila embryo, proteins and mRNAs are positioned at specific sites within the embryo. Many of these factors are produced and localized during the development of the egg in the mother. One protein essential for this process that has been heavily studied is Oskar (Osk), which is positioned at the posterior pole. During the localization of osk mRNA, its translation is repressed by the RNA-binding protein Bruno1 (Bru1), ensuring that Osk protein is not present outside of the posterior where it is harmful. At the posterior pole, osk mRNA is activated through mechanisms that are not yet understood. In this work, we show that the conserved protein Makorin 1 (Mkrn1) is a novel factor involved in the translational activation of osk. Mkrn1 binds specifically to osk mRNA, overlapping with a binding site of Bru1, thus alleviating the association of Bru1 with osk. Moreover, Mkrn1 is stabilized by poly(A) binding protein (pAbp), a translational activator that binds osk mRNA in close proximity to one Mkrn1 binding site. Our work thus helps to answer a long-standing question in the field, providing insight about the function of Mkrn1 and more generally into embryonic patterning in animals.
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Affiliation(s)
- Annabelle Dold
- RNA Epigenetics, Institute of Molecular Biology, Mainz, Germany
| | - Hong Han
- Department of Biology, McGill University, Montréal, Québec, Canada
| | - Niankun Liu
- Department of Biology, McGill University, Montréal, Québec, Canada
| | - Andrea Hildebrandt
- Chromatin Biology and Proteomics, Institute of Molecular Biology, Mainz, Germany.,Genomic Views of Splicing Regulation, Institute of Molecular Biology, Mainz, Germany
| | - Mirko Brüggemann
- Buchmann Institute for Molecular Life Sciences, Goethe University Frankfurt, Frankfurt, Germany
| | - Cornelia Rücklé
- Genomic Views of Splicing Regulation, Institute of Molecular Biology, Mainz, Germany.,Buchmann Institute for Molecular Life Sciences, Goethe University Frankfurt, Frankfurt, Germany
| | - Heike Hänel
- Genomic Views of Splicing Regulation, Institute of Molecular Biology, Mainz, Germany
| | - Anke Busch
- Bioinformatics Core Facility, Institute of Molecular Biology, Mainz, Germany
| | - Petra Beli
- Chromatin Biology and Proteomics, Institute of Molecular Biology, Mainz, Germany
| | - Kathi Zarnack
- Buchmann Institute for Molecular Life Sciences, Goethe University Frankfurt, Frankfurt, Germany
| | - Julian König
- Genomic Views of Splicing Regulation, Institute of Molecular Biology, Mainz, Germany
| | - Jean-Yves Roignant
- RNA Epigenetics, Institute of Molecular Biology, Mainz, Germany.,Center for Integrative Genomics, Génopode Building, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Paul Lasko
- Department of Biology, McGill University, Montréal, Québec, Canada.,Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
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43
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Eichler CE, Hakes AC, Hull B, Gavis ER. Compartmentalized oskar degradation in the germ plasm safeguards germline development. eLife 2020; 9:49988. [PMID: 31909715 PMCID: PMC6986870 DOI: 10.7554/elife.49988] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Accepted: 01/07/2020] [Indexed: 12/13/2022] Open
Abstract
Partitioning of mRNAs into ribonucleoprotein (RNP) granules supports diverse regulatory programs within the crowded cytoplasm. At least two types of RNP granules populate the germ plasm, a cytoplasmic domain at the posterior of the Drosophila oocyte and embryo. Germ granules deliver mRNAs required for germline development to pole cells, the germ cell progenitors. A second type of RNP granule, here named founder granules, contains oskar mRNA, which encodes the germ plasm organizer. Whereas oskar mRNA is essential for germ plasm assembly during oogenesis, we show that it is toxic to pole cells. Founder granules mediate compartmentalized degradation of oskar during embryogenesis to minimize its inheritance by pole cells. Degradation of oskar in founder granules is temporally and mechanistically distinct from degradation of oskar and other mRNAs during the maternal-to-zygotic transition. Our results show how compartmentalization in RNP granules differentially controls fates of mRNAs localized within the same cytoplasmic domain.
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Affiliation(s)
- Catherine E Eichler
- Department of Molecular Biology, Princeton University, Princeton, United States
| | - Anna C Hakes
- Department of Molecular Biology, Princeton University, Princeton, United States
| | - Brooke Hull
- Department of Molecular Biology, Princeton University, Princeton, United States
| | - Elizabeth R Gavis
- Department of Molecular Biology, Princeton University, Princeton, United States
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44
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Probing the Functional Role of Physical Motion in Development. Dev Cell 2019; 51:135-144. [PMID: 31639366 DOI: 10.1016/j.devcel.2019.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 08/15/2019] [Accepted: 09/30/2019] [Indexed: 01/16/2023]
Abstract
Spatiotemporal organization during development has frequently been proposed to be explainable by reaction-transport models, where biochemical reactions couple to physical motion. However, whereas genetic tools allow causality of molecular players to be dissected via perturbation experiments, the functional role of physical transport processes, such as diffusion and cytoplasmic streaming, frequently remains untestable. This Perspective explores the challenges of validating reaction-transport hypotheses and highlights new opportunities provided by perturbation approaches that specifically target physical transport mechanisms. Using these methods, experimental physics may begin to catch up with molecular biology and find ways to test roles of diffusion and flows in development.
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45
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Spatio-temporal expression of ANK2 promotes cytokinesis in oocytes. Sci Rep 2019; 9:13121. [PMID: 31511568 PMCID: PMC6739377 DOI: 10.1038/s41598-019-49483-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 08/21/2019] [Indexed: 01/01/2023] Open
Abstract
In the absence of transcription, the regulation of gene expression in oocytes is controlled almost exclusively at the level of transcriptome and proteome stabilization, and translation. A subset of maternal transcripts is stored in a translationally dormant state in the oocyte, and temporally driven translation of specific mRNAs propel meiotic progression, oocyte-to-embryo transition and early embryo development. We identified Ank2.3 as the only transcript variant present in the mouse oocyte and discovered that it is translated after nuclear envelope breakdown. Here we show that Ank2.3 mRNA is localized in higher concentration in the oocyte nucleoplasm and, after nuclear envelope breakdown, in the newly forming spindle where its translation occurs. Furthermore, we reveal that Ank2.3 mRNA contains an oligo-pyrimidine motif at 5'UTR that predetermines its translation through a cap-dependent pathway. Lastly, we show that prevention of ANK2 translation leads to abnormalities in oocyte cytokinesis.
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46
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Trcek T, Lehmann R. Germ granules in Drosophila. Traffic 2019; 20:650-660. [PMID: 31218815 PMCID: PMC6771631 DOI: 10.1111/tra.12674] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 05/26/2019] [Accepted: 06/14/2019] [Indexed: 12/22/2022]
Abstract
Germ granules are hallmarks of all germ cells. Early ultrastructural studies in Drosophila first described these membraneless granules in the oocyte and early embryo as filled with amorphous to fibrillar material mixed with RNA. Genetic studies identified key protein components and specific mRNAs that regulate germ cell‐specific functions. More recently these ultrastructural studies have been complemented by biophysical analysis describing germ granules as phase‐transitioned condensates. In this review, we provide an overview that connects the composition of germ granules with their function in controlling germ cell specification, formation and migration, and illuminate these mysterious condensates as the gatekeepers of the next generation.
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Affiliation(s)
- Tatjana Trcek
- HHMI, Skirball Institute of Biomolecular Medicine, Department of Cell Biology, NYU School of Medicine, New York, New York
| | - Ruth Lehmann
- HHMI, Skirball Institute of Biomolecular Medicine, Department of Cell Biology, NYU School of Medicine, New York, New York
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47
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Carlevaro-Fita J, Johnson R. Global Positioning System: Understanding Long Noncoding RNAs through Subcellular Localization. Mol Cell 2019; 73:869-883. [PMID: 30849394 DOI: 10.1016/j.molcel.2019.02.008] [Citation(s) in RCA: 194] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 01/30/2019] [Accepted: 02/05/2019] [Indexed: 02/09/2023]
Abstract
The localization of long noncoding RNAs (lncRNAs) within the cell is the primary determinant of their molecular functions. LncRNAs are often thought of as chromatin-restricted regulators of gene transcription and chromatin structure. However, a rich population of cytoplasmic lncRNAs has come to light, with diverse roles including translational regulation, signaling, and respiration. RNA maps of increasing resolution and scope are revealing a subcellular world of highly specific localization patterns and hint at sequence-based address codes specifying lncRNA fates. We propose a new framework for analyzing sequencing-based data, which suggests that numbers of cytoplasmic lncRNA molecules rival those in the nucleus. New techniques promise to create high-resolution, transcriptome-wide maps associated with all organelles of the mammalian cell. Given its intimate link to molecular roles, subcellular localization provides a means of unlocking the mystery of lncRNA functions.
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Affiliation(s)
- Joana Carlevaro-Fita
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department for BioMedical Research, University of Bern, Bern, Switzerland
| | - Rory Johnson
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department for BioMedical Research, University of Bern, Bern, Switzerland.
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48
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Pizzinga M, Bates C, Lui J, Forte G, Morales-Polanco F, Linney E, Knotkova B, Wilson B, Solari CA, Berchowitz LE, Portela P, Ashe MP. Translation factor mRNA granules direct protein synthetic capacity to regions of polarized growth. J Cell Biol 2019; 218:1564-1581. [PMID: 30877141 PMCID: PMC6504908 DOI: 10.1083/jcb.201704019] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 11/12/2018] [Accepted: 02/28/2019] [Indexed: 12/22/2022] Open
Abstract
mRNA localization serves key functions in localized protein production, making it critical that the translation machinery itself is present at these locations. Here we show that translation factor mRNAs are localized to distinct granules within yeast cells. In contrast to many messenger RNP granules, such as processing bodies and stress granules, which contain translationally repressed mRNAs, these granules harbor translated mRNAs under active growth conditions. The granules require Pab1p for their integrity and are inherited by developing daughter cells in a She2p/She3p-dependent manner. These results point to a model where roughly half the mRNA for certain translation factors is specifically directed in granules or translation factories toward the tip of the developing daughter cell, where protein synthesis is most heavily required, which has particular implications for filamentous forms of growth. Such a feedforward mechanism would ensure adequate provision of the translation machinery where it is to be needed most over the coming growth cycle.
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Affiliation(s)
- Mariavittoria Pizzinga
- Division of Molecular and Cellular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Christian Bates
- Division of Molecular and Cellular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Jennifer Lui
- Division of Molecular and Cellular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Gabriella Forte
- Division of Molecular and Cellular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Fabián Morales-Polanco
- Division of Molecular and Cellular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Emma Linney
- Division of Molecular and Cellular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Barbora Knotkova
- Division of Molecular and Cellular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Beverley Wilson
- Division of Molecular and Cellular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Clara A Solari
- Universidad de Buenos Aires, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales-Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Luke E Berchowitz
- Department of Genetics and Development, Hammer Health Sciences Center, Columbia University Medical Center, New York, NY
| | - Paula Portela
- Universidad de Buenos Aires, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales-Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Mark P Ashe
- Division of Molecular and Cellular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
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Narayanan R, Oates AC. Detection of mRNA by Whole Mount in situ Hybridization and DNA Extraction for Genotyping of Zebrafish Embryos. Bio Protoc 2019; 9:e3193. [PMID: 33654992 PMCID: PMC7854236 DOI: 10.21769/bioprotoc.3193] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 02/28/2019] [Accepted: 02/21/2019] [Indexed: 12/18/2022] Open
Abstract
In situ hybridization is used to visualize the spatial distribution of gene transcripts in tissues and in embryos, providing important information about disease and development. Current methods involve the use of complementary riboprobes incorporating non-radioactive labels that can be detected by immunohistochemistry and coupled to chromogenic or fluorescent visualization. Although recent fluorescent methods have allowed new capabilities such as single-molecule counting, qualitative chromogenic detection remains important for many applications because of its relative simplicity, low cost and high throughput, and ease of imaging using transmitted light microscopy. A remaining challenge is combining high contrast signals with reliable genotyping after hybridization. Dextran sulfate is commonly added to the hybridization buffer to shorten development times and improve contrast, but this reagent inhibits PCR-based genotyping. This paper describes a modified protocol for in situ hybridization in fixed whole mount zebrafish embryos using digoxigenin (DIG) labeled riboprobes that are detected with alkaline phosphatase conjugated anti-DIG antibodies and nitroblue tetrazolium (NBT)/5-bromo-4-chloro-3-indolyl-phosphate (BCIP) chromogenic substrates. To yield embryos compatible with downstream genotyping after hybridization without sacrificing contrast of the signal, this protocol omits dextran sulfate and utilizes a lower hybridization temperature.
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Affiliation(s)
- Rachna Narayanan
- Interfaculty Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- The Francis Crick Institute, London, United Kingdom
| | - Andrew C. Oates
- Interfaculty Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- The Francis Crick Institute, London, United Kingdom
- Department of Cell and Developmental Biology, University College London, London, United Kingdom
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50
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Imaging Flies by Fluorescence Microscopy: Principles, Technologies, and Applications. Genetics 2019; 211:15-34. [PMID: 30626639 PMCID: PMC6325693 DOI: 10.1534/genetics.118.300227] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 11/05/2018] [Indexed: 02/07/2023] Open
Abstract
The development of fluorescent labels and powerful imaging technologies in the last two decades has revolutionized the field of fluorescence microscopy, which is now widely used in diverse scientific fields from biology to biomedical and materials science. Fluorescence microscopy has also become a standard technique in research laboratories working on Drosophila melanogaster as a model organism. Here, we review the principles of fluorescence microscopy technologies from wide-field to Super-resolution microscopy and its application in the Drosophila research field.
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