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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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2
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Borsi G, Motheramgari K, Dhiman H, Baumann M, Sinkala E, Sauerland M, Riba J, Borth N. Single-cell RNA sequencing reveals homogeneous transcriptome patterns and low variance in a suspension CHO-K1 and an adherent HEK293FT cell line in culture conditions. J Biotechnol 2023; 364:13-22. [PMID: 36708997 DOI: 10.1016/j.jbiotec.2023.01.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 01/15/2023] [Accepted: 01/21/2023] [Indexed: 01/27/2023]
Abstract
Recombinant mammalian host cell lines, in particular CHO and HEK293 cells, are used for the industrial production of therapeutic proteins. Despite their well-known genomic instability, the control mechanisms that enable cells to respond to changes in the environmental conditions are not yet fully understood, nor do we have a good understanding of the factors that lead to phenotypic shifts in long-term cultures. A contributing factor could be inherent diversity in transcriptomes within a population. In this study, we used a full-length coverage single-cell RNA sequencing (scRNA-seq) approach to investigate and compare cell-to-cell variability and the impact of standardized and homogenous culture conditions on the diversity of individual cell transcriptomes, comparing suspension CHO-K1 and adherent HEK293FT cells. Our data showed a critical batch effect from the sequencing of four 96-well plates of CHO-K1 single cells stored for different periods of time, which was and may be therefore identified as a technical variable to consider in experimental planning. Besides, in an artificial and controlled culture environment such as used in routine cell culture technology, the gene expression pattern of a given population does not reveal any marker gene capable to disclose relevant cell population substructures, both for CHO-K1 cells and for HEK293FT cells. The variation observed is primarily driven by the cell cycle.
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Affiliation(s)
- Giulia Borsi
- BOKU University of Natural Resources and Life Sciences, Institute of Animal Cell Technology and Systems Biology, Muthgasse 18, 1190, Vienna, Austria
| | - Krishna Motheramgari
- Austrian Centre of Industrial Biotechnology (acib GmbH), Muthgasse 11, 1190, Vienna, Austria
| | - Heena Dhiman
- Austrian Centre of Industrial Biotechnology (acib GmbH), Muthgasse 11, 1190, Vienna, Austria
| | - Martina Baumann
- Austrian Centre of Industrial Biotechnology (acib GmbH), Muthgasse 11, 1190, Vienna, Austria
| | | | | | | | - Nicole Borth
- BOKU University of Natural Resources and Life Sciences, Institute of Animal Cell Technology and Systems Biology, Muthgasse 18, 1190, Vienna, Austria.
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3
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Clark KD, Rubakhin SS, Sweedler JV. Single-Neuron RNA Modification Analysis by Mass Spectrometry: Characterizing RNA Modification Patterns and Dynamics with Single-Cell Resolution. Anal Chem 2021; 93:14537-14544. [PMID: 34672536 PMCID: PMC8608286 DOI: 10.1021/acs.analchem.1c03507] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The entire collection of post-transcriptional modifications to RNA, known as the epitranscriptome, has been increasingly recognized as a critical regulatory layer in the cellular translation machinery. However, contemporary methods for the analysis of RNA modifications are limited to the detection of highly abundant modifications in bulk tissue samples, potentially obscuring unique epitranscriptomes of individual cells with population averages. We developed an approach, single-neuron RNA modification analysis by mass spectrometry (SNRMA-MS), that enables the detection and quantification of numerous post-transcriptionally modified nucleosides in single cells. When compared to a conventional RNA extraction approach that does not allow detection of RNA modifications in single cells, SNRMA-MS leverages an optimized sample preparation approach to detect up to 16 RNA modifications in individual neurons from the central nervous system of Aplysia californica. SNRMA-MS revealed that the RNA modification profiles of identified A. californica neurons with different physiological functions were mostly cell specific. However, functionally homologous neurons tended to demonstrate similar modification patterns. Stable isotope labeling with CD3-Met showed significant differences in RNA methylation rates that were dependent on the identity of the modification and the cell, with metacerebral cells (MCCs) displaying the fastest incorporation of CD3 groups into endogenous RNAs. Quantitative SNRMA-MS showed higher intracellular concentrations for 2'-O-methyladenosine and 2'-O-methylcytidine in homologous R2/LPl1 cell pairs than in MCCs. Overall, SNRMA-MS is the first analytical approach capable of simultaneously quantifying numerous RNA modifications in single neurons and revealing cell-specific modification profiles.
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Affiliation(s)
- Kevin D. Clark
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Stanislav S. Rubakhin
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Jonathan V. Sweedler
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
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RNA Localization and Local Translation in Glia in Neurological and Neurodegenerative Diseases: Lessons from Neurons. Cells 2021; 10:cells10030632. [PMID: 33809142 PMCID: PMC8000831 DOI: 10.3390/cells10030632] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/03/2021] [Accepted: 03/09/2021] [Indexed: 12/11/2022] Open
Abstract
Cell polarity is crucial for almost every cell in our body to establish distinct structural and functional domains. Polarized cells have an asymmetrical morphology and therefore their proteins need to be asymmetrically distributed to support their function. Subcellular protein distribution is typically achieved by localization peptides within the protein sequence. However, protein delivery to distinct cellular compartments can rely, not only on the transport of the protein itself but also on the transport of the mRNA that is then translated at target sites. This phenomenon is known as local protein synthesis. Local protein synthesis relies on the transport of mRNAs to subcellular domains and their translation to proteins at target sites by the also localized translation machinery. Neurons and glia specially depend upon the accurate subcellular distribution of their proteome to fulfil their polarized functions. In this sense, local protein synthesis has revealed itself as a crucial mechanism that regulates proper protein homeostasis in subcellular compartments. Thus, deregulation of mRNA transport and/or of localized translation can lead to neurological and neurodegenerative diseases. Local translation has been more extensively studied in neurons than in glia. In this review article, we will summarize the state-of-the art research on local protein synthesis in neuronal function and dysfunction, and we will discuss the possibility that local translation in glia and deregulation thereof contributes to neurological and neurodegenerative diseases.
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Morales-Polanco F, Bates C, Lui J, Casson J, Solari CA, Pizzinga M, Forte G, Griffin C, Garner KEL, Burt HE, Dixon HL, Hubbard S, Portela P, Ashe MP. Core Fermentation (CoFe) granules focus coordinated glycolytic mRNA localization and translation to fuel glucose fermentation. iScience 2021; 24:102069. [PMID: 33554071 PMCID: PMC7859310 DOI: 10.1016/j.isci.2021.102069] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 12/16/2020] [Accepted: 01/12/2021] [Indexed: 12/24/2022] Open
Abstract
Glycolysis is a fundamental metabolic pathway for glucose catabolism across biology, and glycolytic enzymes are among the most abundant proteins in cells. Their expression at such levels provides a particular challenge. Here we demonstrate that the glycolytic mRNAs are localized to granules in yeast and human cells. Detailed live cell and smFISH studies in yeast show that the mRNAs are actively translated in granules, and this translation appears critical for the localization. Furthermore, this arrangement is likely to facilitate the higher level organization and control of the glycolytic pathway. Indeed, the degree of fermentation required by cells is intrinsically connected to the extent of mRNA localization to granules. On this basis, we term these granules, core fermentation (CoFe) granules; they appear to represent translation factories, allowing high-level coordinated enzyme synthesis for a critical metabolic pathway.
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Affiliation(s)
- Fabian Morales-Polanco
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Christian Bates
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Jennifer Lui
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Joseph Casson
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Clara A Solari
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, IQUIBICEN-CONICET, Buenos Aires, Argentina
| | - Mariavittoria Pizzinga
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Gabriela Forte
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Claire Griffin
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Kirsten E L Garner
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Harriet E Burt
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Hannah L Dixon
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Simon Hubbard
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
| | - Paula Portela
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, IQUIBICEN-CONICET, Buenos Aires, Argentina
| | - Mark P Ashe
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
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Distinct Transcriptomic Profiles in the Dorsal Hippocampus and Prelimbic Cortex Are Transiently Regulated following Episodic Learning. J Neurosci 2021; 41:2601-2614. [PMID: 33536202 DOI: 10.1523/jneurosci.1557-20.2021] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 11/25/2020] [Accepted: 01/06/2021] [Indexed: 01/07/2023] Open
Abstract
A fundamental, evolutionarily conserved biological mechanism required for long-term memory formation is rapid induction of gene transcription upon learning in relevant brain areas. For episodic types of memories, two regions undergoing this transcription are the dorsal hippocampus (dHC) and prelimbic (PL) cortex. Whether and to what extent these regions regulate similar or distinct transcriptomic profiles upon learning remain to be understood. Here, we used RNA sequencing in the dHC and PL cortex of male rats to profile their transcriptomes in untrained conditions (baseline) and at 1 h and 6 d after inhibitory avoidance learning. We found that, of 33,713 transcripts, >14,000 were significantly expressed at baseline in both regions and ∼3000 were selectively enriched in each region. Gene Ontology biological pathway analyses indicated that commonly expressed pathways included synapse organization, regulation of membrane potential, and vesicle localization. The enriched pathways in the dHC were gliogenesis, axon development, and lipid modification, while in the PL cortex included vesicle localization and synaptic vesicle cycle. At 1 h after learning, 135 transcripts changed significantly in the dHC and 478 in the PL cortex; of these, only 34 were shared. Biological pathways most significantly regulated by learning in the dHC were protein dephosphorylation, glycogen and glucan metabolism, while in the PL cortex were axon development and axonogenesis. The transcriptome profiles returned to baseline by 6 d after training. Thus, a significant portion of dHC and PL cortex transcriptomic profiles is divergent, and their regulation upon learning is largely distinct and transient.SIGNIFICANCE STATEMENT Long-term episodic memory formation requires gene transcription in several brain regions, including the hippocampus and PFC. The comprehensive profiles of the dynamic mRNA changes that occur in these regions following learning are not well understood. Here, we performed RNA sequencing in the dorsal hippocampus and prelimbic cortex, a PFC subregion, at baseline, 1 h, and 6 d after episodic learning in rats. We found that, at baseline, dorsal hippocampus and prelimbic cortex differentially express a significant portion of mRNAs. Moreover, learning produces a transient regulation of region-specific profiles of mRNA, indicating that unique biological programs in different brain regions underlie memory formation.
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Siedlik MJ, Yang Z, Kadam PS, Eberwine J, Issadore D. Micro- and Nano-Devices for Studying Subcellular Biology. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2005793. [PMID: 33345457 PMCID: PMC8258219 DOI: 10.1002/smll.202005793] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 10/20/2020] [Indexed: 05/27/2023]
Abstract
Cells are complex machines whose behaviors arise from their internal collection of dynamically interacting organelles, supramolecular complexes, and cytoplasmic chemicals. The current understanding of the nature by which subcellular biology produces cell-level behaviors is limited by the technological hurdle of measuring the large number (>103 ) of small-sized (<1 μm) heterogeneous organelles and subcellular structures found within each cell. In this review, the emergence of a suite of micro- and nano-technologies for studying intracellular biology on the scale of organelles is described. Devices that use microfluidic and microelectronic components for 1) extracting and isolating subcellular structures from cells and lysate; 2) analyzing the physiology of individual organelles; and 3) recreating subcellular assembly and functions in vitro, are described. The authors envision that the continued development of single organelle technologies and analyses will serve as a foundation for organelle systems biology and will allow new insight into fundamental and clinically relevant biological questions.
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Affiliation(s)
- Michael J Siedlik
- Department of Bioengineering, 335 Skirkanich Hall, University of Pennsylvania, 210 South 33rd Street, Philadelphia, PA, 19104, USA
| | - Zijian Yang
- Department of Mechanical Engineering and Applied Science, 335 Skirkanich Hall, University of Pennsylvania, 210 South 33rd Street, Philadelphia, PA, 19104, USA
| | - Parnika S Kadam
- Systems Pharmacology and Translational Therapeutics, 38 John Morgan Building, University of Pennsylvania, 3620 Hamilton Walk, Philadelphia, PA, 19104, USA
| | - James Eberwine
- Systems Pharmacology and Translational Therapeutics, 38 John Morgan Building, University of Pennsylvania, 3620 Hamilton Walk, Philadelphia, PA, 19104, USA
| | - David Issadore
- Department of Bioengineering, 335 Skirkanich Hall, University of Pennsylvania, 210 South 33rd Street, Philadelphia, PA, 19104, USA
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Pleiotropic Mitochondria: The Influence of Mitochondria on Neuronal Development and Disease. J Neurosci 2020; 39:8200-8208. [PMID: 31619488 DOI: 10.1523/jneurosci.1157-19.2019] [Citation(s) in RCA: 115] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 08/09/2019] [Accepted: 08/10/2019] [Indexed: 02/08/2023] Open
Abstract
Mitochondria play many important biological roles, including ATP production, lipid biogenesis, ROS regulation, and calcium clearance. In neurons, the mitochondrion is an essential organelle for metabolism and calcium homeostasis. Moreover, mitochondria are extremely dynamic and able to divide, fuse, and move along microtubule tracks to ensure their distribution to the neuronal periphery. Mitochondrial dysfunction and altered mitochondrial dynamics are observed in a wide range of conditions, from impaired neuronal development to various neurodegenerative diseases. Novel imaging techniques and genetic tools provide unprecedented access to the physiological roles of mitochondria by visualizing mitochondrial trafficking, morphological dynamics, ATP generation, and ultrastructure. Recent studies using these new techniques have unveiled the influence of mitochondria on axon branching, synaptic function, calcium regulation with the ER, glial cell function, neurogenesis, and neuronal repair. This review provides an overview of the crucial roles played by mitochondria in the CNS in physiological and pathophysiological conditions.
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Argyrousi EK, Heckman PRA, van Hagen BTJ, Muysers H, van Goethem NP, Prickaerts J. Pro-cognitive effect of upregulating cyclic guanosine monophosphate signalling during memory acquisition or early consolidation is mediated by increased AMPA receptor trafficking. J Psychopharmacol 2020; 34:103-114. [PMID: 31692397 PMCID: PMC6947811 DOI: 10.1177/0269881119885262] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Episodic memory consists of different mnemonic phases, including acquisition and early and late consolidation. Each of these phases is characterised by distinct molecular processes. Although both cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP) are implicated in the acquisition phase, early consolidation only depends on cGMP, whereas late consolidation is mediated by cAMP. Accordingly, the cGMP-selective phosphodiesterase 5 (PDE5) inhibitor vardenafil or the cAMP-selective PDE4 inhibitor rolipram can improve memory acquisition or consolidation when applied during their respective time windows. AIMS Considering the important role of glutamatergic α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors (AMPAR) during normal memory function, we aimed to investigate whether the differential actions of these PDE inhibitors are mediated through AMPAR dynamics. METHODS For biochemical analysis, mice were treated with either vardenafil or rolipram and sacrificed shortly after injection. For the behavioural studies, mice received either of the inhibitors during the different mnemonic phases, while their spatial memory was tested using the object location task, and they were sacrificed 24 hours later. RESULTS Administration of either vardenafil or rolipram causes rapid changes in AMPARs. Moreover, treatment with vardenafil during the acquisition or early consolidation of spatial memory resulted in increased surface levels of AMPARs which were still augmented 24 hours after learning. Membrane levels of AMPARs were not affected anymore 24 hours after learning when rolipram was administrated at either the acquisition or late consolidation phase. CONCLUSIONS These results suggest that dissociative molecular mechanisms could mediate the pro-cognitive function of different classes of PDE inhibitors, and in the case of vardenafil, this phenomenon could be explained by changes in AMPAR dynamics.
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Affiliation(s)
| | | | | | | | | | - Jos Prickaerts
- Jos Prickaerts, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, The Netherlands.
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Saini H, Bicknell AA, Eddy SR, Moore MJ. Free circular introns with an unusual branchpoint in neuronal projections. eLife 2019; 8:e47809. [PMID: 31697236 PMCID: PMC6879206 DOI: 10.7554/elife.47809] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 11/06/2019] [Indexed: 12/22/2022] Open
Abstract
The polarized structure of axons and dendrites in neuronal cells depends in part on RNA localization. Previous studies have looked at which polyadenylated RNAs are enriched in neuronal projections or at synapses, but less is known about the distribution of non-adenylated RNAs. By physically dissecting projections from cell bodies of primary rat hippocampal neurons and sequencing total RNA, we found an unexpected set of free circular introns with a non-canonical branchpoint enriched in neuronal projections. These introns appear to be tailless lariats that escape debranching. They lack ribosome occupancy, sequence conservation, and known localization signals, and their function, if any, is not known. Nonetheless, their enrichment in projections has important implications for our understanding of the mechanisms by which RNAs reach distal compartments of asymmetric cells.
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Affiliation(s)
- Harleen Saini
- RNA Therapeutics InstituteUniversity of Massachusetts Medical SchoolWorcesterUnited States
- Department of Molecular and Cellular BiologyHoward Hughes Medical Institute, Harvard UniversityCambridgeUnited States
| | - Alicia A Bicknell
- RNA Therapeutics InstituteUniversity of Massachusetts Medical SchoolWorcesterUnited States
| | - Sean R Eddy
- Department of Molecular and Cellular BiologyHoward Hughes Medical Institute, Harvard UniversityCambridgeUnited States
- John A Paulson School of Engineering and Applied SciencesHarvard UniversityCambridgeUnited States
| | - Melissa J Moore
- RNA Therapeutics InstituteUniversity of Massachusetts Medical SchoolWorcesterUnited States
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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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12
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Middleton SA, Eberwine J, Kim J. Comprehensive catalog of dendritically localized mRNA isoforms from sub-cellular sequencing of single mouse neurons. BMC Biol 2019; 17:5. [PMID: 30678683 PMCID: PMC6344992 DOI: 10.1186/s12915-019-0630-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 01/16/2019] [Indexed: 02/06/2023] Open
Abstract
Background RNA localization involves cis-motifs that are recognized by RNA-binding proteins (RBP), which then mediate localization to specific sub-cellular compartments. RNA localization is critical for many different cell functions, e.g., in neuronal dendrites, localization is a critical step for long-lasting synaptic potentiation. However, there is little consensus regarding which RNAs are localized and the role of alternative isoforms in localization. A comprehensive catalog of localized RNA can help dissect RBP/RNA interactions and localization motifs. Here, we utilize a single cell sub-cellular RNA sequencing approach to profile differentially localized RNAs from individual cells across multiple single cells to help identify a consistent set of localized RNA in mouse neurons. Results Using independent RNA sequencing from soma and dendrites of the same neuron, we deeply profiled the sub-cellular transcriptomes to assess the extent and variability of dendritic RNA localization in individual hippocampal neurons, including an assessment of differential localization of alternative 3′UTR isoforms. We identified 2225 dendritic RNAs, including 298 cases of 3′UTR isoform-specific localization. We extensively analyzed the localized RNAs for potential localization motifs, finding that B1 and B2 SINE elements are up to 5.7 times more abundant in localized RNA 3′UTRs than non-localized, and also functionally characterized the localized RNAs using protein structure analysis. Conclusion We integrate our list of localized RNAs with the literature to provide a comprehensive list of known dendritically localized RNAs as a resource. This catalog of transcripts, including differentially localized isoforms and computationally hypothesized localization motifs, will help investigators further dissect the genome-scale mechanism of RNA localization. Electronic supplementary material The online version of this article (10.1186/s12915-019-0630-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sarah A Middleton
- Graduate Program in Genomics and Computational Biology, Biomedical Graduate Studies, University of Pennsylvania, 160 BRB II/III - 421 Curie Blvd, Philadelphia, PA, 19104-6064, USA.,Present Address: Computational Biology, Target Sciences, GlaxoSmithKline R&D, 1250 S. Collegeville Road, Collegeville, PA, 19426, USA
| | - James Eberwine
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, 829 BRB II/III, 421 Curie Blvd, Philadelphia, PA, 19104, USA
| | - Junhyong Kim
- Graduate Program in Genomics and Computational Biology, Biomedical Graduate Studies, University of Pennsylvania, 160 BRB II/III - 421 Curie Blvd, Philadelphia, PA, 19104-6064, USA. .,Department of Biology, University of Pennsylvania, 415 S. University Ave, Philadelphia, PA, 19104, USA.
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13
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Li J, Eberwine J. The successes and future prospects of the linear antisense RNA amplification methodology. Nat Protoc 2018; 13:811-818. [PMID: 29599441 PMCID: PMC7086549 DOI: 10.1038/nprot.2018.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 01/04/2018] [Indexed: 12/03/2022]
Abstract
This Perspective discusses the development of the linear amplified RNA amplification technique over the last 25 years, and future applications of this important and versatile methodology. It has been over a quarter of a century since the introduction of the linear RNA amplification methodology known as antisense RNA (aRNA) amplification. Whereas most molecular biology techniques are rapidly replaced owing to the fast-moving nature of development in the field, the aRNA procedure has become a base that can be built upon through varied uses of the technology. The technique was originally developed to assess RNA populations from small amounts of starting material, including single cells, but over time its use has evolved to include the detection of various cellular entities such as proteins, RNA-binding-protein-associated cargoes, and genomic DNA. In this Perspective we detail the linear aRNA amplification procedure and its use in assessing various components of a cell's chemical phenotype. This procedure is particularly useful in efforts to multiplex the simultaneous detection of various cellular processes. These efforts are necessary to identify the quantitative chemical phenotype of cells that underlies cellular function.
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Affiliation(s)
- Jifen Li
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - James Eberwine
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
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14
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Mathur C, Johnson KR, Tong BA, Miranda P, Srikumar D, Basilio D, Latorre R, Bezanilla F, Holmgren M. Demonstration of ion channel synthesis by isolated squid giant axon provides functional evidence for localized axonal membrane protein translation. Sci Rep 2018; 8:2207. [PMID: 29396520 PMCID: PMC5797086 DOI: 10.1038/s41598-018-20684-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 01/18/2018] [Indexed: 12/18/2022] Open
Abstract
Local translation of membrane proteins in neuronal subcellular domains like soma, dendrites and axon termini is well-documented. In this study, we isolated the electrical signaling unit of an axon by dissecting giant axons from mature squids (Dosidicus gigas). Axoplasm extracted from these axons was found to contain ribosomal RNAs, ~8000 messenger RNA species, many encoding the translation machinery, membrane proteins, translocon and signal recognition particle (SRP) subunits, endomembrane-associated proteins, and unprecedented proportions of SRP RNA (~68% identical to human homolog). While these components support endoplasmic reticulum-dependent protein synthesis, functional assessment of a newly synthesized membrane protein in axolemma of an isolated axon is technically challenging. Ion channels are ideal proteins for this purpose because their functional dynamics can be directly evaluated by applying voltage clamp across the axon membrane. We delivered in vitro transcribed RNA encoding native or Drosophila voltage-activated Shaker KV channel into excised squid giant axons. We found that total K+ currents increased in both cases; with added inactivation kinetics on those axons injected with RNA encoding the Shaker channel. These results provide unambiguous evidence that isolated axons can exhibit de novo synthesis, assembly and membrane incorporation of fully functional oligomeric membrane proteins.
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Affiliation(s)
- Chhavi Mathur
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Kory R Johnson
- Bioinformatics Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Brian A Tong
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Pablo Miranda
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Deepa Srikumar
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Daniel Basilio
- Facultad de Ciencias, Universidad de Chile, Santiago, 7750000, Chile
| | - Ramon Latorre
- Centro Interdisciplinario de Neurociencias de Valparaíso, Universidad de Valparaíso, Valparaíso, 2366103, Chile.
| | - Francisco Bezanilla
- Department of Biochemistry and Molecular Biology, University of Chicago, Gordon Center for Integrative Sciences, Chicago, Illinois, 60637, USA.
| | - Miguel Holmgren
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, 20892, USA.
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15
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Primary Cell Culture of Live Neurosurgically Resected Aged Adult Human Brain Cells and Single Cell Transcriptomics. Cell Rep 2017; 18:791-803. [PMID: 28099855 DOI: 10.1016/j.celrep.2016.12.066] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Revised: 11/10/2016] [Accepted: 12/20/2016] [Indexed: 11/20/2022] Open
Abstract
Investigation of human CNS disease and drug effects has been hampered by the lack of a system that enables single-cell analysis of live adult patient brain cells. We developed a culturing system, based on a papain-aided procedure, for resected adult human brain tissue removed during neurosurgery. We performed single-cell transcriptomics on over 300 cells, permitting identification of oligodendrocytes, microglia, neurons, endothelial cells, and astrocytes after 3 weeks in culture. Using deep sequencing, we detected over 12,000 expressed genes, including hundreds of cell-type-enriched mRNAs, lncRNAs and pri-miRNAs. We describe cell-type- and patient-specific transcriptional hierarchies. Single-cell transcriptomics on cultured live adult patient derived cells is a prime example of the promise of personalized precision medicine. Because these cells derive from subjects ranging in age into their sixties, this system permits human aging studies previously possible only in rodent systems.
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16
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Regev A, Teichmann SA, Lander ES, Amit I, Benoist C, Birney E, Bodenmiller B, Campbell P, Carninci P, Clatworthy M, Clevers H, Deplancke B, Dunham I, Eberwine J, Eils R, Enard W, Farmer A, Fugger L, Göttgens B, Hacohen N, Haniffa M, Hemberg M, Kim S, Klenerman P, Kriegstein A, Lein E, Linnarsson S, Lundberg E, Lundeberg J, Majumder P, Marioni JC, Merad M, Mhlanga M, Nawijn M, Netea M, Nolan G, Pe'er D, Phillipakis A, Ponting CP, Quake S, Reik W, Rozenblatt-Rosen O, Sanes J, Satija R, Schumacher TN, Shalek A, Shapiro E, Sharma P, Shin JW, Stegle O, Stratton M, Stubbington MJT, Theis FJ, Uhlen M, van Oudenaarden A, Wagner A, Watt F, Weissman J, Wold B, Xavier R, Yosef N. The Human Cell Atlas. eLife 2017; 6:e27041. [PMID: 29206104 DOI: 10.1101/121202] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 11/30/2017] [Indexed: 05/28/2023] Open
Abstract
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.
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Affiliation(s)
- Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, United States
- Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
- Howard Hughes Medical Institute, Chevy Chase, United States
| | - Sarah A Teichmann
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United Kingdom
| | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, United States
- Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
- Department of Systems Biology, Harvard Medical School, Boston, United States
| | - Ido Amit
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Christophe Benoist
- Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, United States
| | - Ewan Birney
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Bernd Bodenmiller
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Institute of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
| | - Peter Campbell
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Piero Carninci
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Menna Clatworthy
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular Biology, University of Cambridge, Cambridge, United Kingdom
| | - Hans Clevers
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bart Deplancke
- Institute of Bioengineering, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Ian Dunham
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - James Eberwine
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Roland Eils
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany
| | - Wolfgang Enard
- Department of Biology II, Ludwig Maximilian University Munich, Martinsried, Germany
| | - Andrew Farmer
- Takara Bio United States, Inc., Mountain View, United States
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Berthold Göttgens
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, United States
- Massachusetts General Hospital Cancer Center, Boston, United States
| | - Muzlifah Haniffa
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Martin Hemberg
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Seung Kim
- Departments of Developmental Biology and of Medicine, Stanford University School of Medicine, Stanford, United States
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
| | - Arnold Kriegstein
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, United States
| | - Ed Lein
- Allen Institute for Brain Science, Seattle, United States
| | - Sten Linnarsson
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden
- Department of Genetics, Stanford University, Stanford, United States
| | - Joakim Lundeberg
- Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | | | - John C Marioni
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Miriam Merad
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Musa Mhlanga
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Martijn Nawijn
- Department of Pathology and Medical Biology, GRIAC Research Institute, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Mihai Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University, Stanford, United States
| | - Dana Pe'er
- Computational and Systems Biology Program, Sloan Kettering Institute, New York, United States
| | | | - Chris P Ponting
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen Quake
- Department of Applied Physics and Department of Bioengineering, Stanford University, Stanford, United States
- Chan Zuckerberg Biohub, San Francisco, United States
| | - Wolf Reik
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Epigenetics Programme, The Babraham Institute, Cambridge, United Kingdom
- Centre for Trophoblast Research, University of Cambridge, Cambridge, United Kingdom
| | | | - Joshua Sanes
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, United States
| | - Rahul Satija
- Department of Biology, New York University, New York, United States
- New York Genome Center, New York University, New York, United States
| | - Ton N Schumacher
- Division of Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Alex Shalek
- Broad Institute of MIT and Harvard, Cambridge, United States
- Institute for Medical Engineering & Science (IMES) and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, United States
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
| | - Ehud Shapiro
- Department of Computer Science and Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Padmanee Sharma
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer Center, University of Texas, Houston, United States
| | - Jay W Shin
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Oliver Stegle
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Michael Stratton
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | | | - Fabian J Theis
- Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Center Munich, Neuherberg, Germany
- Department of Mathematics, Technical University of Munich, Garching, Germany
| | - Matthias Uhlen
- Science for Life Laboratory and Department of Proteomics, KTH Royal Institute of Technology, Stockholm, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Danish Technical University, Lyngby, Denmark
| | | | - Allon Wagner
- Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, Berkeley, United States
| | - Fiona Watt
- Centre for Stem Cells and Regenerative Medicine, King's College London, London, United Kingdom
| | - Jonathan Weissman
- Howard Hughes Medical Institute, Chevy Chase, United States
- Department of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, United States
- Center for RNA Systems Biology, University of California, San Francisco, San Francisco, United States
| | - Barbara Wold
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
| | - Ramnik Xavier
- Broad Institute of MIT and Harvard, Cambridge, United States
- Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, United States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, United States
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, United States
| | - Nir Yosef
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
- Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, Berkeley, United States
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17
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Regev A, Teichmann SA, Lander ES, Amit I, Benoist C, Birney E, Bodenmiller B, Campbell P, Carninci P, Clatworthy M, Clevers H, Deplancke B, Dunham I, Eberwine J, Eils R, Enard W, Farmer A, Fugger L, Göttgens B, Hacohen N, Haniffa M, Hemberg M, Kim S, Klenerman P, Kriegstein A, Lein E, Linnarsson S, Lundberg E, Lundeberg J, Majumder P, Marioni JC, Merad M, Mhlanga M, Nawijn M, Netea M, Nolan G, Pe'er D, Phillipakis A, Ponting CP, Quake S, Reik W, Rozenblatt-Rosen O, Sanes J, Satija R, Schumacher TN, Shalek A, Shapiro E, Sharma P, Shin JW, Stegle O, Stratton M, Stubbington MJT, Theis FJ, Uhlen M, van Oudenaarden A, Wagner A, Watt F, Weissman J, Wold B, Xavier R, Yosef N. The Human Cell Atlas. eLife 2017; 6:e27041. [PMID: 29206104 PMCID: PMC5762154 DOI: 10.7554/elife.27041] [Citation(s) in RCA: 1219] [Impact Index Per Article: 174.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 11/30/2017] [Indexed: 12/12/2022] Open
Abstract
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.
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Affiliation(s)
- Aviv Regev
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Howard Hughes Medical InstituteChevy ChaseUnited States
| | - Sarah A Teichmann
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
| | - Eric S Lander
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Department of Systems BiologyHarvard Medical SchoolBostonUnited States
| | - Ido Amit
- Department of ImmunologyWeizmann Institute of ScienceRehovotIsrael
| | - Christophe Benoist
- Division of Immunology, Department of Microbiology and ImmunobiologyHarvard Medical SchoolBostonUnited States
| | - Ewan Birney
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - Bernd Bodenmiller
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Institute of Molecular Life SciencesUniversity of ZürichZürichSwitzerland
| | - Peter Campbell
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Piero Carninci
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
| | - Menna Clatworthy
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular BiologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Hans Clevers
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center UtrechtUtrechtThe Netherlands
| | - Bart Deplancke
- Institute of Bioengineering, School of Life SciencesSwiss Federal Institute of Technology (EPFL)LausanneSwitzerland
| | - Ian Dunham
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - James Eberwine
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Roland Eils
- Division of Theoretical Bioinformatics (B080)German Cancer Research Center (DKFZ)HeidelbergGermany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuantHeidelberg UniversityHeidelbergGermany
| | - Wolfgang Enard
- Department of Biology IILudwig Maximilian University MunichMartinsriedGermany
| | - Andrew Farmer
- Takara Bio United States, Inc.Mountain ViewUnited States
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular MedicineJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
| | - Berthold Göttgens
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Nir Hacohen
- Broad Institute of MIT and HarvardCambridgeUnited States
- Massachusetts General Hospital Cancer CenterBostonUnited States
| | - Muzlifah Haniffa
- Institute of Cellular MedicineNewcastle UniversityNewcastle upon TyneUnited Kingdom
| | - Martin Hemberg
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | - Seung Kim
- Departments of Developmental Biology and of MedicineStanford University School of MedicineStanfordUnited States
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford NIHR Biomedical Research CentreJohn Radcliffe HospitalOxfordUnited Kingdom
| | - Arnold Kriegstein
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell ResearchUniversity of California, San FranciscoSan FranciscoUnited States
| | - Ed Lein
- Allen Institute for Brain ScienceSeattleUnited States
| | - Sten Linnarsson
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and BiophysicsKarolinska InstitutetStockholmSweden
| | - Emma Lundberg
- Science for Life Laboratory, School of BiotechnologyKTH Royal Institute of TechnologyStockholmSweden
- Department of GeneticsStanford UniversityStanfordUnited States
| | - Joakim Lundeberg
- Science for Life Laboratory, Department of Gene TechnologyKTH Royal Institute of TechnologyStockholmSweden
| | | | - John C Marioni
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Miriam Merad
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Musa Mhlanga
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
| | - Martijn Nawijn
- Department of Pathology and Medical Biology, GRIAC Research InstituteUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Mihai Netea
- Department of Internal Medicine and Radboud Center for Infectious DiseasesRadboud University Medical CenterNijmegenThe Netherlands
| | - Garry Nolan
- Department of Microbiology and ImmunologyStanford UniversityStanfordUnited States
| | - Dana Pe'er
- Computational and Systems Biology ProgramSloan Kettering InstituteNew YorkUnited States
| | | | - Chris P Ponting
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular MedicineUniversity of EdinburghEdinburghUnited Kingdom
| | - Stephen Quake
- Department of Applied Physics and Department of BioengineeringStanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | - Wolf Reik
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- Epigenetics ProgrammeThe Babraham InstituteCambridgeUnited Kingdom
- Centre for Trophoblast ResearchUniversity of CambridgeCambridgeUnited Kingdom
| | | | - Joshua Sanes
- Center for Brain Science and Department of Molecular and Cellular BiologyHarvard UniversityCambridgeUnited States
| | - Rahul Satija
- Department of BiologyNew York UniversityNew YorkUnited States
- New York Genome CenterNew York UniversityNew YorkUnited States
| | - Ton N Schumacher
- Division of ImmunologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Alex Shalek
- Broad Institute of MIT and HarvardCambridgeUnited States
- Institute for Medical Engineering & Science (IMES) and Department of ChemistryMassachusetts Institute of TechnologyCambridgeUnited States
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
| | - Ehud Shapiro
- Department of Computer Science and Department of Biomolecular SciencesWeizmann Institute of ScienceRehovotIsrael
| | - Padmanee Sharma
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer CenterUniversity of TexasHoustonUnited States
| | - Jay W Shin
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
| | - Oliver Stegle
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - Michael Stratton
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | | | - Fabian J Theis
- Institute of Computational BiologyGerman Research Center for Environmental Health, Helmholtz Center MunichNeuherbergGermany
- Department of MathematicsTechnical University of MunichGarchingGermany
| | - Matthias Uhlen
- Science for Life Laboratory and Department of ProteomicsKTH Royal Institute of TechnologyStockholmSweden
- Novo Nordisk Foundation Center for BiosustainabilityDanish Technical UniversityLyngbyDenmark
| | | | - Allon Wagner
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
| | - Fiona Watt
- Centre for Stem Cells and Regenerative MedicineKing's College LondonLondonUnited Kingdom
| | - Jonathan Weissman
- Howard Hughes Medical InstituteChevy ChaseUnited States
- Department of Cellular & Molecular PharmacologyUniversity of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biomedical ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Center for RNA Systems BiologyUniversity of California, San FranciscoSan FranciscoUnited States
| | - Barbara Wold
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Ramnik Xavier
- Broad Institute of MIT and HarvardCambridgeUnited States
- Center for Computational and Integrative BiologyMassachusetts General HospitalBostonUnited States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel DiseaseMassachusetts General HospitalBostonUnited States
- Center for Microbiome Informatics and TherapeuticsMassachusetts Institute of TechnologyCambridgeUnited States
| | - Nir Yosef
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
| | - Human Cell Atlas Meeting Participants
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Howard Hughes Medical InstituteChevy ChaseUnited States
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
- Department of Systems BiologyHarvard Medical SchoolBostonUnited States
- Department of ImmunologyWeizmann Institute of ScienceRehovotIsrael
- Division of Immunology, Department of Microbiology and ImmunobiologyHarvard Medical SchoolBostonUnited States
- Institute of Molecular Life SciencesUniversity of ZürichZürichSwitzerland
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular BiologyUniversity of CambridgeCambridgeUnited Kingdom
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center UtrechtUtrechtThe Netherlands
- Institute of Bioengineering, School of Life SciencesSwiss Federal Institute of Technology (EPFL)LausanneSwitzerland
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
- Division of Theoretical Bioinformatics (B080)German Cancer Research Center (DKFZ)HeidelbergGermany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuantHeidelberg UniversityHeidelbergGermany
- Department of Biology IILudwig Maximilian University MunichMartinsriedGermany
- Takara Bio United States, Inc.Mountain ViewUnited States
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular MedicineJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Massachusetts General Hospital Cancer CenterBostonUnited States
- Institute of Cellular MedicineNewcastle UniversityNewcastle upon TyneUnited Kingdom
- Departments of Developmental Biology and of MedicineStanford University School of MedicineStanfordUnited States
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford NIHR Biomedical Research CentreJohn Radcliffe HospitalOxfordUnited Kingdom
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Allen Institute for Brain ScienceSeattleUnited States
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and BiophysicsKarolinska InstitutetStockholmSweden
- Science for Life Laboratory, School of BiotechnologyKTH Royal Institute of TechnologyStockholmSweden
- Department of GeneticsStanford UniversityStanfordUnited States
- Science for Life Laboratory, Department of Gene TechnologyKTH Royal Institute of TechnologyStockholmSweden
- National Institute of Biomedical GenomicsKalyaniIndia
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNew YorkUnited States
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
- Department of Pathology and Medical Biology, GRIAC Research InstituteUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
- Department of Internal Medicine and Radboud Center for Infectious DiseasesRadboud University Medical CenterNijmegenThe Netherlands
- Department of Microbiology and ImmunologyStanford UniversityStanfordUnited States
- Computational and Systems Biology ProgramSloan Kettering InstituteNew YorkUnited States
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular MedicineUniversity of EdinburghEdinburghUnited Kingdom
- Department of Applied Physics and Department of BioengineeringStanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
- Epigenetics ProgrammeThe Babraham InstituteCambridgeUnited Kingdom
- Centre for Trophoblast ResearchUniversity of CambridgeCambridgeUnited Kingdom
- Center for Brain Science and Department of Molecular and Cellular BiologyHarvard UniversityCambridgeUnited States
- Department of BiologyNew York UniversityNew YorkUnited States
- New York Genome CenterNew York UniversityNew YorkUnited States
- Division of ImmunologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
- Institute for Medical Engineering & Science (IMES) and Department of ChemistryMassachusetts Institute of TechnologyCambridgeUnited States
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
- Department of Computer Science and Department of Biomolecular SciencesWeizmann Institute of ScienceRehovotIsrael
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer CenterUniversity of TexasHoustonUnited States
- Institute of Computational BiologyGerman Research Center for Environmental Health, Helmholtz Center MunichNeuherbergGermany
- Department of MathematicsTechnical University of MunichGarchingGermany
- Science for Life Laboratory and Department of ProteomicsKTH Royal Institute of TechnologyStockholmSweden
- Novo Nordisk Foundation Center for BiosustainabilityDanish Technical UniversityLyngbyDenmark
- Hubrecht Institute and University Medical Center UtrechtUtrechtThe Netherlands
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
- Centre for Stem Cells and Regenerative MedicineKing's College LondonLondonUnited Kingdom
- Department of Cellular & Molecular PharmacologyUniversity of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biomedical ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Center for RNA Systems BiologyUniversity of California, San FranciscoSan FranciscoUnited States
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
- Center for Computational and Integrative BiologyMassachusetts General HospitalBostonUnited States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel DiseaseMassachusetts General HospitalBostonUnited States
- Center for Microbiome Informatics and TherapeuticsMassachusetts Institute of TechnologyCambridgeUnited States
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de Solis CA, Morales AA, Hosek MP, Partin AC, Ploski JE. Is Arc mRNA Unique: A Search for mRNAs That Localize to the Distal Dendrites of Dentate Gyrus Granule Cells Following Neural Activity. Front Mol Neurosci 2017; 10:314. [PMID: 29066948 PMCID: PMC5641362 DOI: 10.3389/fnmol.2017.00314] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 09/19/2017] [Indexed: 01/12/2023] Open
Abstract
There have been several attempts to identify which RNAs are localized to dendrites; however, no study has determined which RNAs localize to the dendrites following the induction of synaptic activity. We sought to identify all RNA transcripts that localize to the distal dendrites of dentate gyrus granule cells following unilateral high frequency stimulation of the perforant pathway (pp-HFS) using Sprague Dawley rats. We then utilized laser microdissection (LMD) to very accurately dissect out the distal 2/3rds of the molecular layer (ML), which contains these dendrites, without contamination from the granule cell layer, 2 and 4 h post pp-HFS. Next, we purified and amplified RNA from the ML and performed an unbiased screen for 27,000 RNA transcripts using Affymetrix microarrays. We determined that Activity Regulated Cytoskeletal Protein (Arc/Arg3.1) mRNA, exhibited the greatest fold increase in the ML at both timepoints (2 and 4 h). In total, we identified 31 transcripts that increased their levels within the ML following pp-HFS across the two timepoints. Of particular interest is that one of these identified transcripts was an unprocessed micro-RNA (pri-miR132). Fluorescent in situ hybridization and qRT-PCR were used to confirm some of these candidate transcripts. Our data indicate Arc is a unique activity dependent gene, due to the magnitude that its activity dependent transcript localizes to the dendrites. Our study determined other activity dependent transcripts likely localize to the dendrites following neural activity, but do so with lower efficiency compared to Arc.
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Affiliation(s)
- Christopher A. de Solis
- School of Behavioral and Brain Sciences and the Department of Molecular & Cell Biology, University of Texas at Dallas, Richardson, TX, United States
| | - Anna A. Morales
- School of Behavioral and Brain Sciences and the Department of Molecular & Cell Biology, University of Texas at Dallas, Richardson, TX, United States
| | - Matthew P. Hosek
- School of Behavioral and Brain Sciences and the Department of Molecular & Cell Biology, University of Texas at Dallas, Richardson, TX, United States
| | - Alex C. Partin
- UT Southwestern Medical Center, Dallas, TX, United States
| | - Jonathan E. Ploski
- School of Behavioral and Brain Sciences and the Department of Molecular & Cell Biology, University of Texas at Dallas, Richardson, TX, United States
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Rangaraju V, Tom Dieck S, Schuman EM. Local translation in neuronal compartments: how local is local? EMBO Rep 2017; 18:693-711. [PMID: 28404606 DOI: 10.15252/embr.201744045] [Citation(s) in RCA: 110] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Revised: 03/15/2017] [Accepted: 03/15/2017] [Indexed: 12/18/2022] Open
Abstract
Efficient neuronal function depends on the continued modulation of the local neuronal proteome. Local protein synthesis plays a central role in tuning the neuronal proteome at specific neuronal regions. Various aspects of translation such as the localization of translational machinery, spatial spread of the newly translated proteins, and their site of action are carried out in specialized neuronal subcompartments to result in a localized functional outcome. In this review, we focus on the various aspects of these local translation compartments such as size, biochemical and organelle composition, structural boundaries, and temporal dynamics. We also discuss the apparent absence of definitive components of translation in these local compartments and the emerging state-of-the-art tools that could help dissecting these conundrums in greater detail in the future.
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Affiliation(s)
- Vidhya Rangaraju
- Max Planck Institute for Brain Research, Frankfurt am Main, Germany
| | | | - Erin M Schuman
- Max Planck Institute for Brain Research, Frankfurt am Main, Germany
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20
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Namjoshi SV, Raab-Graham KF. Screening the Molecular Framework Underlying Local Dendritic mRNA Translation. Front Mol Neurosci 2017; 10:45. [PMID: 28286470 PMCID: PMC5323403 DOI: 10.3389/fnmol.2017.00045] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 02/10/2017] [Indexed: 12/13/2022] Open
Abstract
In the last decade, bioinformatic analyses of high-throughput proteomics and transcriptomics data have enabled researchers to gain insight into the molecular networks that may underlie lasting changes in synaptic efficacy. Development and utilization of these techniques have advanced the field of learning and memory significantly. It is now possible to move from the study of activity-dependent changes of a single protein to modeling entire network changes that require local protein synthesis. This data revolution has necessitated the development of alternative computational and statistical techniques to analyze and understand the patterns contained within. Thus, the focus of this review is to provide a synopsis of the journey and evolution toward big data techniques to address still unanswered questions regarding how synapses are modified to strengthen neuronal circuits. We first review the seminal studies that demonstrated the pivotal role played by local mRNA translation as the mechanism underlying the enhancement of enduring synaptic activity. In the interest of those who are new to the field, we provide a brief overview of molecular biology and biochemical techniques utilized for sample preparation to identify locally translated proteins using RNA sequencing and proteomics, as well as the computational approaches used to analyze these data. While many mRNAs have been identified, few have been shown to be locally synthesized. To this end, we review techniques currently being utilized to visualize new protein synthesis, a task that has proven to be the most difficult aspect of the field. Finally, we provide examples of future applications to test the physiological relevance of locally synthesized proteins identified by big data approaches.
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Affiliation(s)
- Sanjeev V Namjoshi
- Center for Learning and Memory, The University of Texas at Austin, AustinTX, USA; Institute for Cellular and Molecular Biology, The University of Texas at Austin, AustinTX, USA
| | - Kimberly F Raab-Graham
- Center for Learning and Memory, The University of Texas at Austin, AustinTX, USA; Institute for Cellular and Molecular Biology, The University of Texas at Austin, AustinTX, USA; Department of Physiology and Pharmacology, Wake Forest Health Sciences, Medical Center Boulevard, Winston-SalemNC, USA
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21
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Kosik KS. Life at Low Copy Number: How Dendrites Manage with So Few mRNAs. Neuron 2016; 92:1168-1180. [DOI: 10.1016/j.neuron.2016.11.002] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Revised: 10/27/2016] [Accepted: 11/02/2016] [Indexed: 01/09/2023]
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Filippini A, Bonini D, La Via L, Barbon A. The Good and the Bad of Glutamate Receptor RNA Editing. Mol Neurobiol 2016; 54:6795-6805. [DOI: 10.1007/s12035-016-0201-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 10/11/2016] [Indexed: 12/15/2022]
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Ramos-Fernández E, Tajes M, ILL-Raga G, Vargas L, Busquets-García A, Bosch-Morató M, Guivernau B, Valls-Comamala V, Gomis M, Grau C, Fandos C, Rosen MD, Rabinowitz MH, Inestrosa N, Maldonado R, Altafaj X, Ozaita A, Alvarez A, Vicente R, Valverde MA, Muñoz FJ. Glutamatergic stimulation induces GluN2B translation by the nitric oxide-Heme-Regulated eIF2α kinase in cortical neurons. Oncotarget 2016; 7:58876-58892. [PMID: 27557499 PMCID: PMC5312282 DOI: 10.18632/oncotarget.11417] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Accepted: 08/13/2016] [Indexed: 02/06/2023] Open
Abstract
The activation of N-Methyl D-Aspartate Receptor (NMDAR) by glutamate is crucial in the nervous system function, particularly in memory and learning. NMDAR is composed by two GluN1 and two GluN2 subunits. GluN2B has been reported to participate in the prevalent NMDAR subtype at synapses, the GluN1/2A/2B. Here we studied the regulation of GluN2B expression in cortical neurons finding that glutamate up-regulates GluN2B translation through the action of nitric oxide (NO), which induces the phosphorylation of the eukaryotic translation initiation factor 2 α (eIF2α). It is a process mediated by the NO-heme-regulated eIF2α kinase (HRI), as the effect was avoided when a specific HRI inhibitor or a HRI small interfering RNA (siHRI) were used. We found that the expressed GluN2B co-localizes with PSD-95 at the postsynaptic ending, which strengthen the physiological relevance of the proposed mechanism. Moreover the receptors bearing GluN2B subunits upon NO stimulation are functional as high Ca2+ entry was measured and increases the co-localization between GluN2B and GluN1 subunits. In addition, the injection of the specific HRI inhibitor in mice produces a decrease in memory retrieval as tested by the Novel Object Recognition performance. Summarizing our data suggests that glutamatergic stimulation induces HRI activation by NO to trigger GluN2B expression and this process would be relevant to maintain postsynaptic activity in cortical neurons.
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Affiliation(s)
- Eva Ramos-Fernández
- Laboratory of Molecular Physiology, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Marta Tajes
- Laboratory of Molecular Physiology, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Gerard ILL-Raga
- Laboratory of Molecular Physiology, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Lina Vargas
- Cell Signaling Laboratory, Department of Cellular and Molecular Biology, Faculty of Biological Science, Pontificia Universidad Católica, Santiago, Chile
| | - Arnau Busquets-García
- Neuropharmacology Laboratory, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Mònica Bosch-Morató
- Laboratory of Molecular Physiology, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Biuse Guivernau
- Laboratory of Molecular Physiology, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Victòria Valls-Comamala
- Laboratory of Molecular Physiology, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Maria Gomis
- Neuropharmacology Laboratory, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Cristina Grau
- Bellvitge Biomedical Research Institute, Unit of Neuropharmacology and Pain, University of Barcelona, Barcelona, Spain
| | - César Fandos
- Laboratory of Molecular Physiology, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Mark D. Rosen
- Janssen Research and Development, L.L.C., San Diego, CA, United States of America
| | | | - Nibaldo Inestrosa
- CARE, Department of Cellular and Molecular Biology, Faculty of Biological Science, Pontificia Universidad Católica, Santiago, Chile
| | - Rafael Maldonado
- Neuropharmacology Laboratory, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Xavier Altafaj
- Bellvitge Biomedical Research Institute, Unit of Neuropharmacology and Pain, University of Barcelona, Barcelona, Spain
| | - Andrés Ozaita
- Neuropharmacology Laboratory, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Alejandra Alvarez
- Cell Signaling Laboratory, Department of Cellular and Molecular Biology, Faculty of Biological Science, Pontificia Universidad Católica, Santiago, Chile
| | - Rubén Vicente
- Laboratory of Molecular Physiology, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Miguel A. Valverde
- Laboratory of Molecular Physiology, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Francisco J. Muñoz
- Laboratory of Molecular Physiology, Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
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24
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Eberwine J, Crino P, Dichter M. Review : Single-Cell mRNA Amplification: Implications for Basic and Clinical Neuroscience. Neuroscientist 2016. [DOI: 10.1177/107385849500100404] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The application of molecular biological techniques to the study of single cells has provided a unique window for exploring the mechanisms that underlie integrated cellular function. Analysis of gene expression in indi vidual cells of the central nervous system is critical to understanding how distinct cell populations with differing chemical and anatomic phenotypes respond to pharmacological agents or are altered in disease states. Quantification of mRNA by single-cell analysis gives a high-resolution picture of changes in gene expression within individual cells, whereas more conventional types of mRNA analysis may obscure subtle changes in gene expression because of a lack of change in surrounding cells that are included in the mRNA sample. In addition, the sensitivity for detecting low levels of mRNA is enhanced when individual versus groups of cells are analyzed. With the advent of various mRNA amplification strategies, it is now possible to determine the mRNA composition or "expression profile" of individual cells. Information about relative levels of different mRNAs, the subcellular localization of mRNAs, and insight into cell-specific RNA splicing and RNA editing can be obtained. When these molecular data are combined with electrophysiological, morpho logical, immunohistochemical, and anatomical analyses, a detailed portrait of neuronal functioning can be obtained. Moreover, alterations in cellular functioning induced by physiological manipulation, drug adminis tration, or disease state can be monitored by combining these approaches. This precise cellular information may be useful in developing pharmaceuticals designed to alter mRNA levels or protein levels in a predictable manner (transcript-aided drug design) to elicit specific physiological states. The Neuroscientist 1:200-211, 1995
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Affiliation(s)
- James Eberwine
- Department of Pharmacology, Department of Psychiatry, University of Pennsylvania Medical School
| | - Peter Crino
- Department of Pharmacology, Department of Neurology, University of Pennsylvania Medical School
| | - Marc Dichter
- Department of Pharmacology, Department of Neurology, University of Pennsylvania Medical School, The Graduate Hospital Philadelphia, Pennsylvania
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25
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Cellular Deconstruction: Finding Meaning in Individual Cell Variation. Trends Cell Biol 2016; 25:569-578. [PMID: 26410403 DOI: 10.1016/j.tcb.2015.07.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Revised: 06/26/2015] [Accepted: 07/17/2015] [Indexed: 12/21/2022]
Abstract
The advent of single cell transcriptome analysis has permitted the discovery of cell-to-cell variation in transcriptome expression of even presumptively identical cells. We hypothesize that this variability reflects a many-to-one relation between transcriptome states and the phenotype of a cell. In this relation, the molecular ratios of the subsets of RNA are determined by the stoichiometric constraints of the cell systems, which underdetermine the transcriptome state. Furthermore, the variability is, in part, induced by the tissue context and is important for system-level function. This theory is analogous to theories of literary deconstruction, where multiple 'signifiers' work in opposition to one another to create meaning. By analogy, transcriptome phenotypes should be defined as subsets of RNAs comprising selected RNA systems where the system-associated RNAs are balanced with each other to produce the associated cellular function. This idea provides a framework for understanding cellular heterogeneity in phenotypic responses to variant conditions, such as disease challenge.
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26
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Poo MM, Pignatelli M, Ryan TJ, Tonegawa S, Bonhoeffer T, Martin KC, Rudenko A, Tsai LH, Tsien RW, Fishell G, Mullins C, Gonçalves JT, Shtrahman M, Johnston ST, Gage FH, Dan Y, Long J, Buzsáki G, Stevens C. What is memory? The present state of the engram. BMC Biol 2016; 14:40. [PMID: 27197636 PMCID: PMC4874022 DOI: 10.1186/s12915-016-0261-6] [Citation(s) in RCA: 204] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
The mechanism of memory remains one of the great unsolved problems of biology. Grappling with the question more than a hundred years ago, the German zoologist Richard Semon formulated the concept of the engram, lasting connections in the brain that result from simultaneous “excitations”, whose precise physical nature and consequences were out of reach of the biology of his day. Neuroscientists now have the knowledge and tools to tackle this question, however, and this Forum brings together leading contemporary views on the mechanisms of memory and what the engram means today.
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Affiliation(s)
- Mu-Ming Poo
- Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China.
| | - Michele Pignatelli
- RIKEN-MIT Center for Neural Circuit Genetics at the Picower Institute for Learning and Memory, Department of Biology and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Tomás J Ryan
- RIKEN-MIT Center for Neural Circuit Genetics at the Picower Institute for Learning and Memory, Department of Biology and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Susumu Tonegawa
- RIKEN-MIT Center for Neural Circuit Genetics at the Picower Institute for Learning and Memory, Department of Biology and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | | | - Kelsey C Martin
- Department of Biological Chemistry and Department of Psychiatry and Biobehavioral Studies, David Geffen School of Medicine, BSRB 390B, 615 Charles E. Young Dr. South, University of California, Los Angeles, CA, 90095, USA
| | - Andrii Rudenko
- Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Li-Huei Tsai
- Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Richard W Tsien
- The Neuroscience Institute, School of Medicine and Center for Neural Science, New York University, New York, NY, 10016, USA
| | - Gord Fishell
- The Neuroscience Institute, School of Medicine and Center for Neural Science, New York University, New York, NY, 10016, USA
| | - Caitlin Mullins
- The Neuroscience Institute, School of Medicine and Center for Neural Science, New York University, New York, NY, 10016, USA
| | - J Tiago Gonçalves
- Salk Institute for Biological Studies, Laboratory of Genetics, 10010 N. Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Matthew Shtrahman
- Salk Institute for Biological Studies, Laboratory of Genetics, 10010 N. Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Stephen T Johnston
- Salk Institute for Biological Studies, Laboratory of Genetics, 10010 N. Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Fred H Gage
- Salk Institute for Biological Studies, Laboratory of Genetics, 10010 N. Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Yang Dan
- HHMI, Department of Molecular and Cell Biology, University of California, Berkeley, USA
| | - John Long
- The Neuroscience Institute, School of Medicine and Center for Neural Science, New York University, New York, NY, 10016, USA
| | - György Buzsáki
- The Neuroscience Institute, School of Medicine and Center for Neural Science, New York University, New York, NY, 10016, USA
| | - Charles Stevens
- Salk Institute for Biological Studies, Laboratory of Genetics, 10010 N. Torrey Pines Road, La Jolla, CA, 92037, USA
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Bell TJ, Eberwine J. Live Cell Genomics: RNA Exon-Specific RNA-Binding Protein Isolation. Methods Mol Biol 2016. [PMID: 26202289 DOI: 10.1007/978-1-4939-2806-4_31] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
RNA-binding proteins (RBPs) are essential regulatory proteins that control all modes of RNA processing and regulation. New experimental approaches to isolate these indispensable proteins under in vivo conditions are needed to advance the field of RBP biology. Historically, in vitro biochemical approaches to isolate RBP complexes have been useful and productive, but biological relevance of the identified RBP complexes can be imprecise or erroneous. Here we review an inventive experimental to isolate RBPs under the in vivo conditions. The method is called peptide nucleic acid (PNA)-assisted identification of RBP (PAIR) technology and it uses cell-penetrating peptides (CPPs) to deliver photo-activatible RBP-capture molecule to the cytoplasm of the live cells. The PAIR methodology provides two significant advantages over the most commonly used approaches: (1) it overcomes the in vitro limitation of standard biochemical approaches and (2) the PAIR RBP-capture molecule is highly selective and adaptable which allows investigators to isolate exon-specific RBP complexes. Most importantly, the in vivo capture conditions and selectivity of the RBP-capture molecule yield biologically accurate and relevant RBP data.
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Affiliation(s)
- Thomas J Bell
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
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28
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Intra-axonal protein synthesis in development and beyond. Int J Dev Neurosci 2016; 55:140-149. [PMID: 26970010 DOI: 10.1016/j.ijdevneu.2016.03.004] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Revised: 03/03/2016] [Accepted: 03/07/2016] [Indexed: 12/15/2022] Open
Abstract
Proteins can be locally produced in the periphery of a cell, allowing a rapid and spatially precise response to the changes in its environment. This process is especially relevant in highly polarized and morphologically complex cells such as neurons. The study of local translation in axons has evolved from being primarily focused on developing axons, to the notion that also mature axons can produce proteins. Axonal translation has been implied in several physiological and pathological conditions, and in all cases it shares common molecular actors and pathways as well as regulatory mechanisms. Here, we review the main findings in these fields, and attempt to highlight shared principles.
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RNA Editing: A Contributor to Neuronal Dynamics in the Mammalian Brain. Trends Genet 2016; 32:165-175. [PMID: 26803450 DOI: 10.1016/j.tig.2015.12.005] [Citation(s) in RCA: 97] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2015] [Revised: 12/21/2015] [Accepted: 12/22/2015] [Indexed: 01/10/2023]
Abstract
Post-transcriptional RNA modification by adenosine to inosine (A-to-I) editing expands the functional output of many important neuronally expressed genes. The mechanism provides flexibility in the proteome by expanding the variety of isoforms, and is a requisite for neuronal function. Indeed, targets for editing include key mediators of synaptic transmission with an overall significant effect on neuronal signaling. In addition, editing influences splice-site choice and miRNA targeting capacity, and thereby regulates neuronal gene expression. Editing efficiency at most of these sites increases during neuronal differentiation and brain maturation in a spatiotemporal manner. This editing-induced dynamics in the transcriptome is essential for normal brain development, and we are only beginning to understand its role in neuronal function. In this review we discuss the impact of RNA editing in the brain, with special emphasis on the physiological consequences for neuronal development and plasticity.
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Abstract
The localization of mRNAs to specific subcellular sites is widespread, allowing cells to spatially restrict and regulate protein production, and playing important roles in development and cellular physiology. This process has been studied in mechanistic detail for several RNAs. However, the generality or specificity of RNA localization systems and mechanisms that impact the many thousands of localized mRNAs has been difficult to assess. In this review, we discuss the current state of the field in determining which RNAs localize, which RNA sequences mediate localization, the protein factors involved, and the biological implications of localization. For each question, we examine prominent systems and techniques that are used to study individual messages, highlight recent genome-wide studies of RNA localization, and discuss the potential for adapting other high-throughput approaches to the study of localization.
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Affiliation(s)
- J Matthew Taliaferro
- a Department of Biology; Massachusetts Institute of Technology ; Cambridge , MA USA
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31
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Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation. Genome Biol 2015; 16:122. [PMID: 26056000 PMCID: PMC4480509 DOI: 10.1186/s13059-015-0683-4] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2015] [Accepted: 05/27/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Differentiation of metazoan cells requires execution of different gene expression programs but recent single-cell transcriptome profiling has revealed considerable variation within cells of seeming identical phenotype. This brings into question the relationship between transcriptome states and cell phenotypes. Additionally, single-cell transcriptomics presents unique analysis challenges that need to be addressed to answer this question. RESULTS We present high quality deep read-depth single-cell RNA sequencing for 91 cells from five mouse tissues and 18 cells from two rat tissues, along with 30 control samples of bulk RNA diluted to single-cell levels. We find that transcriptomes differ globally across tissues with regard to the number of genes expressed, the average expression patterns, and within-cell-type variation patterns. We develop methods to filter genes for reliable quantification and to calibrate biological variation. All cell types include genes with high variability in expression, in a tissue-specific manner. We also find evidence that single-cell variability of neuronal genes in mice is correlated with that in rats consistent with the hypothesis that levels of variation may be conserved. CONCLUSIONS Single-cell RNA-sequencing data provide a unique view of transcriptome function; however, careful analysis is required in order to use single-cell RNA-sequencing measurements for this purpose. Technical variation must be considered in single-cell RNA-sequencing studies of expression variation. For a subset of genes, biological variability within each cell type appears to be regulated in order to perform dynamic functions, rather than solely molecular noise.
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Buxbaum AR, Yoon YJ, Singer RH, Park HY. Single-molecule insights into mRNA dynamics in neurons. Trends Cell Biol 2015; 25:468-75. [PMID: 26052005 DOI: 10.1016/j.tcb.2015.05.005] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Revised: 05/07/2015] [Accepted: 05/08/2015] [Indexed: 10/23/2022]
Abstract
Targeting of mRNAs to neuronal dendrites and axons plays an integral role in intracellular signaling, development, and synaptic plasticity. Single-molecule imaging of mRNAs in neurons and brain tissue has led to enhanced understanding of mRNA dynamics. Here we discuss aspects of mRNA regulation as revealed by single-molecule detection, which has led to quantitative analyses of mRNA diversity, localization, transport, and translation. These exciting new discoveries propel our understanding of the life of an mRNA in a neuron and how its activity is regulated at the single-molecule level.
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Affiliation(s)
- Adina R Buxbaum
- Department of Anatomy and Structural Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Gruss Lipper Biophotonics Center, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA
| | - Young J Yoon
- Department of Anatomy and Structural Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Robert H Singer
- Department of Anatomy and Structural Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Gruss Lipper Biophotonics Center, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA
| | - Hye Yoon Park
- Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA; Department of Physics and Astronomy, Seoul National University, Seoul 151-747, Korea; Institute of Molecular Biology and Genetics, Seoul National University, Seoul 151-742, Korea.
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33
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In the right place at the right time: visualizing and understanding mRNA localization. Nat Rev Mol Cell Biol 2014; 16:95-109. [PMID: 25549890 DOI: 10.1038/nrm3918] [Citation(s) in RCA: 388] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The spatial regulation of protein translation is an efficient way to create functional and structural asymmetries in cells. Recent research has furthered our understanding of how individual cells spatially organize protein synthesis, by applying innovative technology to characterize the relationship between mRNAs and their regulatory proteins, single-mRNA trafficking dynamics, physiological effects of abrogating mRNA localization in vivo and for endogenous mRNA labelling. The implementation of new imaging technologies has yielded valuable information on mRNA localization, for example, by observing single molecules in tissues. The emerging movements and localization patterns of mRNAs in morphologically distinct unicellular organisms and in neurons have illuminated shared and specialized mechanisms of mRNA localization, and this information is complemented by transgenic and biochemical techniques that reveal the biological consequences of mRNA mislocalization.
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Kratz A, Beguin P, Kaneko M, Chimura T, Suzuki AM, Matsunaga A, Kato S, Bertin N, Lassmann T, Vigot R, Carninci P, Plessy C, Launey T. Digital expression profiling of the compartmentalized translatome of Purkinje neurons. Genome Res 2014; 24:1396-410. [PMID: 24904046 PMCID: PMC4120092 DOI: 10.1101/gr.164095.113] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Underlying the complexity of the mammalian brain is its network of neuronal connections, but also the molecular networks of signaling pathways, protein interactions, and regulated gene expression within each individual neuron. The diversity and complexity of the spatially intermingled neurons pose a serious challenge to the identification and quantification of single neuron components. To address this challenge, we present a novel approach for the study of the ribosome-associated transcriptome-the translatome-from selected subcellular domains of specific neurons, and apply it to the Purkinje cells (PCs) in the rat cerebellum. We combined microdissection, translating ribosome affinity purification (TRAP) in nontransgenic animals, and quantitative nanoCAGE sequencing to obtain a snapshot of RNAs bound to cytoplasmic or rough endoplasmic reticulum (rER)-associated ribosomes in the PC and its dendrites. This allowed us to discover novel markers of PCs, to determine structural aspects of genes, to find hitherto uncharacterized transcripts, and to quantify biophysically relevant genes of membrane proteins controlling ion homeostasis and neuronal electrical activities.
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Affiliation(s)
- Anton Kratz
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, 230-0045 Japan
| | - Pascal Beguin
- RIKEN Brain Science Institute, Launey Research Unit, Wako, Saitama, 351-0198 Japan
| | - Megumi Kaneko
- RIKEN Brain Science Institute, Launey Research Unit, Wako, Saitama, 351-0198 Japan
| | - Takahiko Chimura
- RIKEN Brain Science Institute, Launey Research Unit, Wako, Saitama, 351-0198 Japan
| | - Ana Maria Suzuki
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, 230-0045 Japan
| | - Atsuko Matsunaga
- RIKEN Brain Science Institute, Launey Research Unit, Wako, Saitama, 351-0198 Japan
| | - Sachi Kato
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, 230-0045 Japan
| | - Nicolas Bertin
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, 230-0045 Japan
| | - Timo Lassmann
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, 230-0045 Japan
| | - Réjan Vigot
- RIKEN Brain Science Institute, Launey Research Unit, Wako, Saitama, 351-0198 Japan
| | - Piero Carninci
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, 230-0045 Japan
| | - Charles Plessy
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, 230-0045 Japan;
| | - Thomas Launey
- RIKEN Brain Science Institute, Launey Research Unit, Wako, Saitama, 351-0198 Japan
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35
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Kenney JW, Moore CE, Wang X, Proud CG. Eukaryotic elongation factor 2 kinase, an unusual enzyme with multiple roles. Adv Biol Regul 2014; 55:15-27. [PMID: 24853390 DOI: 10.1016/j.jbior.2014.04.003] [Citation(s) in RCA: 132] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Accepted: 04/15/2014] [Indexed: 12/27/2022]
Abstract
Eukaryotic elongation factor 2 kinase (eEF2K) is a member of the small group of atypical 'α-kinases'. It phosphorylates and inhibits eukaryotic elongation factor 2, to slow down the elongation stage of protein synthesis, which normally consumes a great deal of energy and amino acids. The activity of eEF2K is normally dependent on calcium ions and calmodulin. eEF2K is also regulated by a plethora of other inputs, including inhibition by signalling downstream of anabolic signalling pathways such as the mammalian target of rapamycin complex 1. Recent data show that eEF2K helps to protect cancer cells against nutrient starvation and is also cytoprotective in other settings, including hypoxia. Growing evidence points to roles for eEF2K in neurological processes such as learning and memory and perhaps in depression.
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Affiliation(s)
- Justin W Kenney
- Centre for Biological Sciences, Life Sciences Building, University of Southampton, Southampton, SO16 7LB, UK
| | - Claire E Moore
- Centre for Biological Sciences, Life Sciences Building, University of Southampton, Southampton, SO16 7LB, UK
| | - Xuemin Wang
- Centre for Biological Sciences, Life Sciences Building, University of Southampton, Southampton, SO16 7LB, UK
| | - Christopher G Proud
- Centre for Biological Sciences, Life Sciences Building, University of Southampton, Southampton, SO16 7LB, UK.
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36
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Khaladkar M, Buckley PT, Lee MT, Francis C, Eghbal MM, Chuong T, Suresh S, Kuhn B, Eberwine J, Kim J. Subcellular RNA sequencing reveals broad presence of cytoplasmic intron-sequence retaining transcripts in mouse and rat neurons. PLoS One 2013; 8:e76194. [PMID: 24098440 PMCID: PMC3789819 DOI: 10.1371/journal.pone.0076194] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Accepted: 08/20/2013] [Indexed: 12/03/2022] Open
Abstract
Recent findings have revealed the complexity of the transcriptional landscape in mammalian cells. One recently described class of novel transcripts are the Cytoplasmic Intron-sequence Retaining Transcripts (CIRTs), hypothesized to confer post-transcriptional regulatory function. For instance, the neuronal CIRT KCNMA1i16 contributes to the firing properties of hippocampal neurons. Intronic sub-sequence retention within IL1-β mRNA in anucleate platelets has been implicated in activity-dependent splicing and translation. In a recent study, we showed CIRTs harbor functional SINE ID elements which are hypothesized to mediate dendritic localization in neurons. Based on these studies and others, we hypothesized that CIRTs may be present in a broad set of transcripts and comprise novel signals for post-transcriptional regulation. We carried out a transcriptome-wide survey of CIRTs by sequencing micro-dissected subcellular RNA fractions. We sequenced two batches of 150-300 individually dissected dendrites from primary cultures of hippocampal neurons in rat and three batches from mouse hippocampal neurons. After statistical processing to minimize artifacts, we found a broad prevalence of CIRTs in the neurons in both species (44-60% of the expressed transcripts). The sequence patterns, including stereotypical length, biased inclusion of specific introns, and intron-intron junctions, suggested CIRT-specific nuclear processing. Our analysis also suggested that these cytoplasmic intron-sequence retaining transcripts may serve as a primary transcript for ncRNAs. Our results show that retaining intronic sequences is not isolated to a few loci but may be a genome-wide phenomenon for embedding functional signals within certain mRNA. The results hypothesize a novel source of cis-sequences for post-transcriptional regulation. Our results hypothesize two potentially novel splicing pathways: one, within the nucleus for CIRT biogenesis; and another, within the cytoplasm for removing CIRT sequences before translation. We also speculate that release of CIRT sequences prior to translation may form RNA-based signals within the cell potentially comprising a novel class of signaling pathways.
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Affiliation(s)
- Mugdha Khaladkar
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Peter T. Buckley
- Penn Genome Frontiers Institute, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Pharmacology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Miler T. Lee
- Department of Genetics, Yale University, New Haven, Connecticut, United States of America
| | - Chantal Francis
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Mitra M. Eghbal
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Tina Chuong
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Sangita Suresh
- Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - Bernhard Kuhn
- Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - James Eberwine
- Penn Genome Frontiers Institute, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Pharmacology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Genomics and Computational Biology Program, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Junhyong Kim
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Penn Genome Frontiers Institute, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Genomics and Computational Biology Program, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
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37
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The role of eEF2 pathway in learning and synaptic plasticity. Neurobiol Learn Mem 2013; 105:100-6. [DOI: 10.1016/j.nlm.2013.04.015] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Revised: 04/15/2013] [Accepted: 04/17/2013] [Indexed: 11/19/2022]
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38
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Kim TK, Sul JY, Helmfors H, Langel U, Kim J, Eberwine J. Dendritic glutamate receptor mRNAs show contingent local hotspot-dependent translational dynamics. Cell Rep 2013; 5:114-25. [PMID: 24075992 DOI: 10.1016/j.celrep.2013.08.029] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2012] [Revised: 07/24/2013] [Accepted: 08/14/2013] [Indexed: 11/16/2022] Open
Abstract
Protein synthesis in neuronal dendrites underlies long-term memory formation in the brain. Local translation of reporter mRNAs has demonstrated translation in dendrites at focal points called translational hotspots. Various reports have shown that hundreds to thousands of mRNAs are localized to dendrites, yet the dynamics of translation of multiple dendritic mRNAs has remained elusive. Here, we show that the protein translational activities of two dendritically localized mRNAs are spatiotemporally complex but constrained by the translational hotspots in which they are colocalized. Cotransfection of glutamate receptor 2 (GluR2) and GluR4 mRNAs (engineered to encode different fluorescent proteins) into rat hippocampal neurons demonstrates a heterogeneous distribution of translational hotspots for the two mRNAs along dendrites. Stimulation with s-3,5-dihydroxy-phenylglycine modifies the translational dynamics of both of these RNAs in a complex saturable manner. These results suggest that the translational hotspot is a primary structural regulator of the simultaneous yet differential translation of multiple mRNAs in the neuronal dendrite.
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Affiliation(s)
- Tae Kyung Kim
- Department of Pharmacology, Perelman School of Medicine, Philadelphia, PA 19104-6084, USA
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39
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Abstract
Long-term synaptic plasticity involves changes in the expression and membrane insertion of cell-surface proteins. Interestingly, the mRNAs encoding many cell-surface proteins are localized to dendrites, but whether dendritic protein synthesis is required for activity-induced surface expression of specific proteins is unknown. Herein, we used microfluidic devices to demonstrate that dendritic protein synthesis is necessary for activity-induced insertion of GluN2A-containing NMDA receptors in rat hippocampal neurons. Furthermore, visualization of activity-induced local translation of GluN2A mRNA and membrane insertion of GluN2A protein in dendrites was directly observed and shown to depend on a 3' untranslated region cytoplasmic polyadenylation element and its associated translation complex. These findings uncover a novel mechanism for cytoplasmic polyadenylation element-mediated posttranscriptional regulation of GluN2A mRNA to control NMDA receptor surface expression during synaptic plasticity.
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40
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Cook D, Nuro E, Murai KK. Increasing our understanding of human cognition through the study of Fragile X Syndrome. Dev Neurobiol 2013; 74:147-77. [PMID: 23723176 PMCID: PMC4216185 DOI: 10.1002/dneu.22096] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2013] [Accepted: 05/17/2013] [Indexed: 12/16/2022]
Abstract
Fragile X Syndrome (FXS) is considered the most common form of inherited intellectual disability. It is caused by reductions in the expression level or function of a single protein, the Fragile X Mental Retardation Protein (FMRP), a translational regulator which binds to approximately 4% of brain messenger RNAs. Accumulating evidence suggests that FXS is a complex disorder of cognition, involving interactions between genetic and environmental influences, leading to difficulties in acquiring key life skills including motor skills, language, and proper social behaviors. Since many FXS patients also present with one or more features of autism spectrum disorders (ASDs), insights gained from studying the monogenic basis of FXS could pave the way to a greater understanding of underlying features of multigenic ASDs. Here we present an overview of the FXS and FMRP field with the goal of demonstrating how loss of a single protein involved in translational control affects multiple stages of brain development and leads to debilitating consequences on human cognition. We also focus on studies which have rescued or improved FXS symptoms in mice using genetic or therapeutic approaches to reduce protein expression. We end with a brief description of how deficits in translational control are implicated in FXS and certain cases of ASDs, with many recent studies demonstrating that ASDs are likely caused by increases or decreases in the levels of certain key synaptic proteins. The study of FXS and its underlying single genetic cause offers an invaluable opportunity to study how a single gene influences brain development and behavior.
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Affiliation(s)
- Denise Cook
- Department of Neurology and Neurosurgery, Centre for Research in Neuroscience, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada
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41
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Cox DJ, Racca C. Differential dendritic targeting of AMPA receptor subunit mRNAs in adult rat hippocampal principal neurons and interneurons. J Comp Neurol 2013; 521:1954-2007. [DOI: 10.1002/cne.23292] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2011] [Revised: 12/13/2012] [Accepted: 12/14/2012] [Indexed: 12/19/2022]
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42
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Swanger SA, Bassell GJ. Dendritic protein synthesis in the normal and diseased brain. Neuroscience 2012; 232:106-27. [PMID: 23262237 DOI: 10.1016/j.neuroscience.2012.12.003] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2012] [Revised: 11/21/2012] [Accepted: 12/01/2012] [Indexed: 01/25/2023]
Abstract
Synaptic activity is a spatially limited process that requires a precise, yet dynamic, complement of proteins within the synaptic micro-domain. The maintenance and regulation of these synaptic proteins is regulated, in part, by local mRNA translation in dendrites. Protein synthesis within the postsynaptic compartment allows neurons tight spatial and temporal control of synaptic protein expression, which is critical for proper functioning of synapses and neural circuits. In this review, we discuss the identity of proteins synthesized within dendrites, the receptor-mediated mechanisms regulating their synthesis, and the possible roles for these locally synthesized proteins. We also explore how our current understanding of dendritic protein synthesis in the hippocampus can be applied to new brain regions and to understanding the pathological mechanisms underlying varied neurological diseases.
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Affiliation(s)
- S A Swanger
- Department of Cell Biology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - G J Bassell
- Department of Cell Biology, Emory University School of Medicine, Atlanta, GA 30322, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA.
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43
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La Via L, Bonini D, Russo I, Orlandi C, Barlati S, Barbon A. Modulation of dendritic AMPA receptor mRNA trafficking by RNA splicing and editing. Nucleic Acids Res 2012; 41:617-31. [PMID: 23166306 PMCID: PMC3592400 DOI: 10.1093/nar/gks1223] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
RNA trafficking to dendrites and local translation are crucial processes for superior neuronal functions. To date, several α-amino-3-hydroxy-5-methyl-4-isoxazolepropionate receptor (AMPAR) mRNAs have been detected in dendrites and are subject to local protein synthesis. Here, we report the presence of all AMPAR GluA1-4 mRNAs in hippocampal and cortical rat synaptic spines by synaptoneurosomes analysis. In particular, we showed that dendritic AMPAR mRNAs are present in the Flip versions in the cortex and hippocampus. To further confirm these data, we demonstrate, using in situ hybridization, the dendritic localization of the GluA2 Flip isoform in vitro and in vivo, whereas the Flop variant is restricted mainly to the soma. In addition, we report that dendritic AMPA mRNAs are edited at low levels at their R/G sites; this result was also supported with transfection experiments using chimeric GluA2 DNA vectors, showing that transcripts carrying an unedited nucleotide at the R/G site, in combination with the Flip exon, are more efficiently targeted to dendrites when compared with the edited-Flip versions. Our data show that post-transcriptional regulations such as RNA splicing, editing and trafficking might be mutually coordinated and that the localization of different AMPAR isoforms in dendrites might play a functional role in the regulation of neuronal transmission.
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Affiliation(s)
- Luca La Via
- Department of Biomedical Sciences and Biotechnology, Division of Biology and Genetics, National Institute of Neuroscience, University of Brescia, Viale Europa 11, Brescia 25123, Italy
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Eberwine J, Lovatt D, Buckley P, Dueck H, Francis C, Kim TK, Lee J, Lee M, Miyashiro K, Morris J, Peritz T, Schochet T, Spaethling J, Sul JY, Kim J. Quantitative biology of single neurons. J R Soc Interface 2012; 9:3165-83. [PMID: 22915636 PMCID: PMC3481569 DOI: 10.1098/rsif.2012.0417] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
The building blocks of complex biological systems are single cells. Fundamental insights gained from single-cell analysis promise to provide the framework for understanding normal biological systems development as well as the limits on systems/cellular ability to respond to disease. The interplay of cells to create functional systems is not well understood. Until recently, the study of single cells has concentrated primarily on morphological and physiological characterization. With the application of new highly sensitive molecular and genomic technologies, the quantitative biochemistry of single cells is now accessible.
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Affiliation(s)
- James Eberwine
- Department of Pharmacology, Perelman School of Medicine, University of Pennsylvania, 36th and Hamilton Walk, Philadelphia, PA 19104, USA.
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45
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Abstract
Neuronal activity elicits changes in synaptic composition that play an important role in experience-dependent plasticity (Choquet and Triller, 2003; Lisman and Raghavachari, 2006; Bourne and Harris, 2008; Holtmaat and Svoboda, 2009). We used a modified version of stable isotope labeling by amino acids in cell culture to identify activity-dependent modifications in the composition of postsynaptic densities (PSDs) isolated from rat primary neuronal cultures. We found that synaptic activity altered ∼2% of the PSD proteome, which included an increase in diverse RNA binding proteins (RNABPs). Indeed, 12 of the 37 identified proteins whose levels changed with synaptic activity were RNABPs and included the heterogeneous nuclear ribonucleoproteins (hnRNPs) G, A2/B1, M, and D. Knockdown of hnRNPs M and G using shRNAs resulted in altered numbers of dendritic spines, suggesting a crucial role for these proteins in spine density. Synaptic activity also resulted in a concomitant increase in dendritic and synaptic poly(A) mRNA. However, this increase was not affected by knockdown of hnRNPs M or G. Our results suggest that hnRNP proteins regulate dendritic spine density and may play a role in synaptodendritic mRNA metabolism.
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46
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Weiler IJ. Descartins, the memory molecules. Dev Psychobiol 2011; 53:476-81. [PMID: 21678395 DOI: 10.1002/dev.20564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Investigation of protein translation at the synapse, using functioning synaptic particles termed synaptoneurosomes, has led to identification of Fragile X protein as a key synaptic component. In its absence, some key mRNAs are translated more diffusely in the cell, and more slowly. Recent studies have implicated ERK (extracellular receptor regulated kinase) as a central factor in regulating the kinetics of translation at the synapse.
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Affiliation(s)
- Ivan Jeanne Weiler
- Psychology Department and Beckman Institute, University of Illinois at Urbana-Champaign, USA.
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47
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Buckley PT, Lee MT, Sul JY, Miyashiro KY, Bell TJ, Fisher SA, Kim J, Eberwine J. Cytoplasmic intron sequence-retaining transcripts can be dendritically targeted via ID element retrotransposons. Neuron 2011; 69:877-84. [PMID: 21382548 DOI: 10.1016/j.neuron.2011.02.028] [Citation(s) in RCA: 111] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/20/2011] [Indexed: 01/26/2023]
Abstract
RNA precursors give rise to mRNA after splicing of intronic sequences traditionally thought to occur in the nucleus. Here, we show that intron sequences are retained in a number of dendritically-targeted mRNAs, by using microarray and Illumina sequencing of isolated dendritic mRNA as well as in situ hybridization. Many of the retained introns contain ID elements, a class of SINE retrotransposon. A portion of these SINEs confers dendritic targeting to exogenous and endogenous transcripts showing the necessity of ID-mediated mechanisms for the targeting of different transcripts to dendrites. ID elements are capable of selectively altering the distribution of endogenous proteins, providing a link between intronic SINEs and protein function. As such, the ID element represents a common dendritic targeting element found across multiple RNAs. Retention of intronic sequence is a more general phenomenon than previously thought and plays a functional role in the biology of the neuron, partly mediated by co-opted repetitive sequences.
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Affiliation(s)
- Peter T Buckley
- Department of Pharmacology, University of Pennsylvania, Philadelphia, PA 19104, USA
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48
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Abstract
Many gene expression analysis techniques rely on material isolated from heterogeneous populations of cells from tissue homogenates or cells in culture. In the case of the brain, regions such as the hippocampus contain a complex arrangement of different cell types, each with distinct mRNA profiles. The ability to harvest single cells allows for a more in depth investigation into the molecular differences between and within cell populations. We describe a simple and rapid method for harvesting cells for further processing. Pipettes often used in electrophysiology are utilized to isolate (using aspiration) a cell of interest and conveniently deposit it into an Eppendorf tube for further processing with any number of molecular biology techniques. Our protocol can be modified for the harvest of dendrites from cell culture or even individual cells from acute slices. We also describe the aRNA amplification method as a major downstream application of single cell isolations. This method was developed previously by our lab as an alternative to other gene expression analysis techniques such as reverse-transcription or real-time polymerase chain reaction (PCR). This technique provides for linear amplification of the polyadenylated RNA beginning with only femtograms of material and resulting in microgram amounts of antisense RNA. The linearly amplified material provides a more accurate estimation than PCR exponential amplification of the relative abundance of components of the transcriptome of the isolated cell. The basic procedure consists of two rounds of amplification. Briefly, a T7 RNA polymerase promoter site is incorporated into double stranded cDNA created from the mRNA transcripts. An overnight in vitro transcription (IVT) reaction is then performed in which T7 RNA polymerase produces many antisense transcripts from the double stranded cDNA. The second round repeats this process but with some technical differences since the starting material is antisense RNA. It is standard to repeat the second round, resulting in three rounds of amplification. Often, the third round in vitro transcription reaction is performed using biotinylated nucleoside triphosphates so that the antisense RNA produced can be hybridized and detected on a microarray.
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49
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Abstract
Actin-rich cellular protrusions or pseudopodia form via local actin filament polymerization and branching and represent a variety of polarized cellular domains including lamellipodia, filipodia, and neuronal growth cones. RNA localization and local protein translation in these domains are important for various cellular processes. RNA transport and local synthesis have been implicated in cell migration and tumor cell metastasis as well as in neuronal plasticity in neurons. Characterization of the mRNAs present in these domains is key to understanding the functional role of mRNA translocation and local protein translation in cellular processes. We describe here a method to segregate pseudopodia of metastatic cancer cells from the cell body using porous polycarbonate filters. This approach enables the purification and identification of RNAs and proteins in these protrusive cellular domains.
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50
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Ross JR, Porter BE, Buckley PT, Eberwine JH, Robinson MB. mRNA for the EAAC1 subtype of glutamate transporter is present in neuronal dendrites in vitro and dramatically increases in vivo after a seizure. Neurochem Int 2010; 58:366-75. [PMID: 21185901 DOI: 10.1016/j.neuint.2010.12.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2010] [Revised: 11/02/2010] [Accepted: 12/13/2010] [Indexed: 01/23/2023]
Abstract
The neuronal Na(+)-dependent glutamate transporter, excitatory amino acid carrier 1 (EAAC1, also called EAAT3), has been implicated in the control of synaptic spillover of glutamate, synaptic plasticity, and the import of cysteine for neuronal synthesis of glutathione. EAAC1 protein is observed in both perisynaptic regions of the synapse and in neuronal cell bodies. Although amino acid residues in the carboxyl terminal tail have been implicated in the dendritic targeting of EAAC1 protein, it is not known if mRNA for EAAC1 may also be targeted to dendrites. Sorting of mRNA to specific cellular domains provides a mechanism by which signals can rapidly increase translation in a local environment; this form of regulated translation has been linked to diverse biological phenomena ranging from establishment of polarity during embryogenesis to synapse development and synaptic plasticity. In the present study, EAAC1 mRNA sequences were amplified from dendritic samples that were mechanically harvested from low-density hippocampal neuronal cultures. In parallel analyses, mRNA for histone deacetylase 2 (HDAC-2) and glial fibrillary acidic protein (GFAP) was not detected, suggesting that these samples are not contaminated with cell body or glial mRNAs. EAAC1 mRNA also co-localized with Map2a (a marker of dendrites) but not Tau1 (a marker of axons) in hippocampal neuronal cultures by in situ hybridization. In control rats, EAAC1 mRNA was observed in soma and proximal dendrites of hippocampal pyramidal neurons. Following pilocarpine- or kainate-induced seizures, EAAC1 mRNA was present in CA1 pyramidal cell dendrites up to 200μm from the soma. These studies provide the first evidence that EAAC1 mRNA localizes to dendrites and suggest that dendritic targeting of EAAC1 mRNA is increased by seizure activity and may be regulated by neuronal activity/depolarization.
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Affiliation(s)
- John R Ross
- Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104-4318, USA
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