8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Bright split red fluorescent proteins for the visualization of endogenous proteins and synapses

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Self-associating split fluorescent proteins (FPs) are split FPs whose two fragments spontaneously associate to form a functional FP. They have been widely used for labeling proteins, scaffolding protein assembly and detecting cell-cell contacts. Recently developments have expanded the palette of self-associating split FPs beyond the original split GFP 1-10/11. However, these new ones have suffered from suboptimal fluorescence signal after complementation. Here, by investigating the complementation process, we have demonstrated two approaches to improve split FPs: assistance through SpyTag/SpyCatcher interaction and directed evolution. The latter has yielded two split sfCherry3 variants with substantially enhanced overall brightness, facilitating the tagging of endogenous proteins by gene editing. Based on sfCherry3, we have further developed a new red-colored trans-synaptic marker called Neuroligin-1 sfCherry3 Linker Across Synaptic Partners (NLG-1 CLASP) for multiplexed visualization of neuronal synapses in living C. elegans, demonstrating its broad applications.

          Abstract

          Feng et al develop a system based on split fluorescent proteins with enhanced complementation efficiency, characterise further the complementation mechanism and illustrate its use by visualising endogenous synapsis in C.elegans though the tagging of endogenous proteins.

          Related collections

          Most cited references29

          • Record: found
          • Abstract: found
          • Article: not found

          Visualization of interactions among bZIP and Rel family proteins in living cells using bimolecular fluorescence complementation.

          Networks of protein interactions coordinate cellular functions. We describe a bimolecular fluorescence complementation (BiFC) assay for determination of the locations of protein interactions in living cells. This approach is based on complementation between two nonfluorescent fragments of the yellow fluorescent protein (YFP) when they are brought together by interactions between proteins fused to each fragment. BiFC analysis was used to investigate interactions among bZIP and Rel family transcription factors. Regions outside the bZIP domains determined the locations of bZIP protein interactions. The subcellular sites of protein interactions were regulated by signaling. Cross-family interactions between bZIP and Rel proteins affected their subcellular localization and modulated transcription activation. These results attest to the general applicability of the BiFC assay for studies of protein interactions.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Protein tagging and detection with engineered self-assembling fragments of green fluorescent protein.

            Existing protein tagging and detection methods are powerful but have drawbacks. Split protein tags can perturb protein solubility or may not work in living cells. Green fluorescent protein (GFP) fusions can misfold or exhibit altered processing. Fluorogenic biarsenical FLaSH or ReASH substrates overcome many of these limitations but require a polycysteine tag motif, a reducing environment and cell transfection or permeabilization. An ideal protein tag would be genetically encoded, would work both in vivo and in vitro, would provide a sensitive analytical signal and would not require external chemical reagents or substrates. One way to accomplish this might be with a split GFP, but the GFP fragments reported thus far are large and fold poorly, require chemical ligation or fused interacting partners to force their association, or require coexpression or co-refolding to produce detectable folded and fluorescent GFP. We have engineered soluble, self-associating fragments of GFP that can be used to tag and detect either soluble or insoluble proteins in living cells or cell lysates. The split GFP system is simple and does not change fusion protein solubility.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              GFP Reconstitution Across Synaptic Partners (GRASP) defines cell contacts and synapses in living nervous systems.

              The identification of synaptic partners is challenging in dense nerve bundles, where many processes occupy regions beneath the resolution of conventional light microscopy. To address this difficulty, we have developed GRASP, a system to label membrane contacts and synapses between two cells in living animals. Two complementary fragments of GFP are expressed on different cells, tethered to extracellular domains of transmembrane carrier proteins. When the complementary GFP fragments are fused to ubiquitous transmembrane proteins, GFP fluorescence appears uniformly along membrane contacts between the two cells. When one or both GFP fragments are fused to synaptic transmembrane proteins, GFP fluorescence is tightly localized to synapses. GRASP marks known synaptic contacts in C. elegans, correctly identifies changes in mutants with altered synaptic specificity, and can uncover new information about synaptic locations as confirmed by electron microscopy. GRASP may prove particularly useful for defining connectivity in complex nervous systems.
                Bookmark

                Author and article information

                Contributors
                bo.huang@ucsf.edu
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                17 September 2019
                17 September 2019
                2019
                : 2
                : 344
                Affiliations
                [1 ]ISNI 0000 0001 2181 7878, GRID grid.47840.3f, The UC Berkeley-UCSF Graduate Program in Bioengineering, ; San Francisco, CA 94143 USA
                [2 ]ISNI 0000 0001 0722 3678, GRID grid.186587.5, Department of Biological Sciences, , San Jose State University, ; San Jose, CA 95192 USA
                [3 ]ISNI 0000 0001 2297 6811, GRID grid.266102.1, Department of Bioengineering and Therapeutic Sciences, , University of California in San Francisco, ; San Francisco, CA 94143 USA
                [4 ]ISNI 0000000419368657, GRID grid.17635.36, School of Physics and Astronomy, , University of Minnesota, ; Minneapolis, MN 55455 USA
                [5 ]ISNI 0000 0001 0662 3178, GRID grid.12527.33, School of Pharmaceutical Sciences, , Tsinghua University, ; Beijing, 100084 China
                [6 ]ISNI 0000 0001 2297 6811, GRID grid.266102.1, Department of Pharmaceutical Chemistry, , University of California in San Francisco, ; San Francisco, CA 94143 USA
                [7 ]ISNI 0000 0001 2297 6811, GRID grid.266102.1, Department Biochemistry and Biophysics, , University of California, San Francisco, ; San Francisco, CA 94143 USA
                [8 ]Chan Zuckerberg Biohub, San Francisco, CA 94158 USA
                Author information
                http://orcid.org/0000-0001-8499-6914
                http://orcid.org/0000-0003-1704-4141
                Article
                589
                10.1038/s42003-019-0589-x
                6749000
                31552297
                758ad3c1-4e21-48ca-b2f9-1dedbca0cd73
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 January 2019
                : 26 August 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: R01GM064589
                Award ID: R01NS087544
                Award ID: SC3GM089595
                Award ID: R21EB022798
                Award ID: R01GM124334
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: 1355202
                Award Recipient :
                Funded by: UCSF Program of Breakthrough Biomedical Reseearch Chan Zuckerberg Biohub
                Categories
                Article
                Custom metadata
                © The Author(s) 2018

                fluorescence imaging,fluorescent proteins,genetic engineering,neural circuits

                Comments

                Comment on this article