1
|
Niederauer C, Nguyen C, Wang-Henderson M, Stein J, Strauss S, Cumberworth A, Stehr F, Jungmann R, Schwille P, Ganzinger KA. Dual-color DNA-PAINT single-particle tracking enables extended studies of membrane protein interactions. Nat Commun 2023; 14:4345. [PMID: 37468504 DOI: 10.1038/s41467-023-40065-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 07/07/2023] [Indexed: 07/21/2023] Open
Abstract
DNA-PAINT based single-particle tracking (DNA-PAINT-SPT) has recently significantly enhanced observation times in in vitro SPT experiments by overcoming the constraints of fluorophore photobleaching. However, with the reported implementation, only a single target can be imaged and the technique cannot be applied straight to live cell imaging. Here we report on leveraging this technique from a proof-of-principle implementation to a useful tool for the SPT community by introducing simultaneous live cell dual-color DNA-PAINT-SPT for quantifying protein dimerization and tracking proteins in living cell membranes, demonstrating its improved performance over single-dye SPT.
Collapse
Affiliation(s)
| | - Chikim Nguyen
- Autonomous Matter Department, AMOLF, Amsterdam, The Netherlands
| | | | - Johannes Stein
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | | | | | - Florian Stehr
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Ralf Jungmann
- Max Planck Institute of Biochemistry, Martinsried, Germany
- Faculty of Physics, Ludwig Maximilian University, Munich, Germany
| | - Petra Schwille
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | | |
Collapse
|
2
|
Kirby D, Parmar B, Fathi S, Marwah S, Nayak CR, Cherepanov V, MacParland S, Feld JJ, Altan-Bonnet G, Zilman A. Determinants of Ligand Specificity and Functional Plasticity in Type I Interferon Signaling. Front Immunol 2021; 12:748423. [PMID: 34691060 PMCID: PMC8529159 DOI: 10.3389/fimmu.2021.748423] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 09/14/2021] [Indexed: 11/13/2022] Open
Abstract
The Type I Interferon family of cytokines all act through the same cell surface receptor and induce phosphorylation of the same subset of response regulators of the STAT family. Despite their shared receptor, different Type I Interferons have different functions during immune response to infection. In particular, they differ in the potency of their induced anti-viral and anti-proliferative responses in target cells. It remains not fully understood how these functional differences can arise in a ligand-specific manner both at the level of STAT phosphorylation and the downstream function. We use a minimal computational model of Type I Interferon signaling, focusing on Interferon-α and Interferon-β. We validate the model with quantitative experimental data to identify the key determinants of specificity and functional plasticity in Type I Interferon signaling. We investigate different mechanisms of signal discrimination, and how multiple system components such as binding affinity, receptor expression levels and their variability, receptor internalization, short-term negative feedback by SOCS1 protein, and differential receptor expression play together to ensure ligand specificity on the level of STAT phosphorylation. Based on these results, we propose phenomenological functional mappings from STAT activation to downstream anti-viral and anti-proliferative activity to investigate differential signal processing steps downstream of STAT phosphorylation. We find that the negative feedback by the protein USP18, which enhances differences in signaling between Interferons via ligand-dependent refractoriness, can give rise to functional plasticity in Interferon-α and Interferon-β signaling, and explore other factors that control functional plasticity. Beyond Type I Interferon signaling, our results have a broad applicability to questions of signaling specificity and functional plasticity in signaling systems with multiple ligands acting through a bottleneck of a small number of shared receptors.
Collapse
Affiliation(s)
- Duncan Kirby
- Department of Physics, University of Toronto, Toronto, ON, Canada
| | - Baljyot Parmar
- Department of Physics, University of Toronto, Toronto, ON, Canada
| | - Sepehr Fathi
- Department of Physics, University of Toronto, Toronto, ON, Canada
| | - Sagar Marwah
- Ajmera Family Transplant Centre, Toronto General Research Institute, Departments of Laboratory Medicine and Pathobiology and Immunology, University of Toronto, Toronto, ON, Canada
| | - Chitra R Nayak
- Department of Physics, University of Toronto, Toronto, ON, Canada.,Department of Physics, Tuskegee University, Tuskegee, AL, United States
| | - Vera Cherepanov
- Sandra Rotman Centre for Global Health, Toronto General Research Institute, University of Toronto, Toronto, ON, Canada
| | - Sonya MacParland
- Ajmera Family Transplant Centre, Toronto General Research Institute, Departments of Laboratory Medicine and Pathobiology and Immunology, University of Toronto, Toronto, ON, Canada
| | - Jordan J Feld
- Toronto Centre for Liver Disease, University Health Network, Toronto, ON, Canada
| | - Grégoire Altan-Bonnet
- Immunodynamics Group, Laboratory of Integrative Cancer Immunology, Center for Cancer Research (CCR), National Cancer Institute (NCI), Bethesda, MD, United States
| | - Anton Zilman
- Department of Physics, University of Toronto, Toronto, ON, Canada.,Institute for Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
3
|
Optimal ligand discrimination by asymmetric dimerization and turnover of interferon receptors. Proc Natl Acad Sci U S A 2021; 118:2103939118. [PMID: 34507994 DOI: 10.1073/pnas.2103939118] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/11/2021] [Indexed: 11/18/2022] Open
Abstract
In multicellular organisms, antiviral defense mechanisms evoke a reliable collective immune response despite the noisy nature of biochemical communication between tissue cells. A molecular hub of this response, the interferon I receptor (IFNAR), discriminates between ligand types by their affinity regardless of concentration. To understand how ligand type can be decoded robustly by a single receptor, we frame ligand discrimination as an information-theoretic problem and systematically compare the major classes of receptor architectures: allosteric, homodimerizing, and heterodimerizing. We demonstrate that asymmetric heterodimers achieve the best discrimination power over the entire physiological range of local ligand concentrations. This design enables sensing of ligand presence and type, and it buffers against moderate concentration fluctuations. In addition, receptor turnover, which drives the receptor system out of thermodynamic equilibrium, allows alignment of activation points for ligands of different affinities and thereby makes ligand discrimination practically independent of concentration. IFNAR exhibits this optimal architecture, and our findings thus suggest that this specialized receptor can robustly decode digital messages carried by its different ligands.
Collapse
|
4
|
Kirby D, Rothschild J, Smart M, Zilman A. Pleiotropy enables specific and accurate signaling in the presence of ligand cross talk. Phys Rev E 2021; 103:042401. [PMID: 34005921 DOI: 10.1103/physreve.103.042401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 02/22/2021] [Indexed: 12/27/2022]
Abstract
Living cells sense their environment through the binding of extracellular molecular ligands to cell surface receptors. Puzzlingly, vast numbers of signaling pathways exhibit a high degree of cross talk between different signals whereby different ligands act through the same receptor or shared components downstream. It remains unclear how a cell can accurately process information from the environment in such cross-wired pathways. We show that a feature which commonly accompanies cross talk-signaling pleiotropy (the ability of a receptor to produce multiple outputs)-offers a solution to the cross-talk problem. In a minimal model we show that a single pleiotropic receptor can simultaneously identify and accurately sense the concentrations of arbitrary unknown ligands present individually or in a mixture. We calculate the fundamental limits of the signaling specificity and accuracy of such signaling schemes. The model serves as an elementary "building block" toward understanding more complex cross-wired receptor-ligand signaling networks.
Collapse
Affiliation(s)
- Duncan Kirby
- Department of Physics, University of Toronto, Toronto, Ontario M5S 1A7, Canada
| | - Jeremy Rothschild
- Department of Physics, University of Toronto, Toronto, Ontario M5S 1A7, Canada
| | - Matthew Smart
- Department of Physics, University of Toronto, Toronto, Ontario M5S 1A7, Canada
| | - Anton Zilman
- Department of Physics, University of Toronto, Toronto, Ontario M5S 1A7, Canada.,Institute for Bioengineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada
| |
Collapse
|
5
|
François P, Zilman A. Physical approaches to receptor sensing and ligand discrimination. ACTA ACUST UNITED AC 2019. [DOI: 10.1016/j.coisb.2019.10.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
6
|
Abstract
Experimental studies of the innate immune response of mammalian cells to viruses reveal pervasive heterogeneity at the level of single cells. Interferons are induced only in a fraction of virus-infected cells; subsequently a fraction of cells exposed to interferons upregulate interferon-stimulated genes. Nevertheless, quantitative experiments and linked mathematical models show that the interferon response can be effective in curbing viral spread through two distinct mechanisms. First, paracrine interferon signals from scattered source cells can protect many uninfected cells, and the self-amplification of interferon production might serve to calibrate response amplitude to strength of viral infection. Second, models of the tug-of-war between viral replication and the innate interferon response imply a pivotal role of interferon action on already infected cells in curbing viral spread, through effectively lowering virus replication rate. This finding is in line with the observation that several pathogenic viruses selectively abrogate interferon action on infected cells. Thus, interferons may delay viral spread in acute infections by acting as sentinels, warning uninfected cells of imminent danger, or as negative feedback regulators of virus replication in infected cells. The timing of the interferon response relative to the onset of viral replication is critical for its effectiveness in curbing viral spread.
Collapse
Affiliation(s)
- Soheil Rastgou Talemi
- Division of Theoretical Systems Biology, German Cancer Research Center (DKFZ) and Bioquant Center, University of Heidelberg, Heidelberg, Germany
| | - Thomas Höfer
- Division of Theoretical Systems Biology, German Cancer Research Center (DKFZ) and Bioquant Center, University of Heidelberg, Heidelberg, Germany
| |
Collapse
|
7
|
Targeted protein degradation and the enzymology of degraders. Curr Opin Chem Biol 2018; 44:47-55. [DOI: 10.1016/j.cbpa.2018.05.004] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 05/03/2018] [Indexed: 02/06/2023]
|
8
|
Kotsiri M, Protopapa M, Mouratidis S, Zachariadis M, Vassilakos D, Kleidas I, Samiotaki M, Dedos SG. Should I stay or should I go? The settlement-inducing protein complex guides barnacle settlement decisions. J Exp Biol 2018; 221:jeb.185348. [DOI: 10.1242/jeb.185348] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 10/01/2018] [Indexed: 01/16/2023]
Abstract
Reproduction in barnacles relies on chemical cues that guide their gregarious settlement. These cues have been pinned down to several sources of settlement pheromones, one of which is a protein termed Settlement-Inducing Protein Complex (SIPC), a large glycoprotein acting as a pheromone to induce larval settlement and as an adhesive in the surface exploration by the cyprids. Settlement assays in laboratory conditions with Amphibalanus (=Balanus) amphitrite cyprids in the presence of SIPC showed that cyprids exhibit settlement preference behaviour at lower concentrations (EC50=3.73 nM) and settlement avoidance behaviour at higher concentrations of SIPC (EC50=101 nM). By using truncated fragments of SIPC in settlement assays, we identify that domains at the N-terminal of SIPC transduce settlement preference cues that mask the settlement avoidance cues transduced by domains at its C-terminal. Removing the N-terminal 600 amino acids from SIPC resulted in truncated fragments that transduced only settlement avoidance cues to the cyprids. From the sexual reproduction point of view, this bimodal response of barnacles to SIPC suggests that barnacles will settle gregariously when conspecific cues are sparse but will not settle if conspecific cues inform of overcrowding that will increase reproductive competition and diminish their reproductive chances.
Collapse
Affiliation(s)
- Manto Kotsiri
- Department of Biology, National and Kapodistrian University of Athens, Athens 157 84, Greece
| | - Maria Protopapa
- Department of Biology, National and Kapodistrian University of Athens, Athens 157 84, Greece
| | - Sofoklis Mouratidis
- Department of Biology, National and Kapodistrian University of Athens, Athens 157 84, Greece
| | - Michael Zachariadis
- Department of Biology, National and Kapodistrian University of Athens, Athens 157 84, Greece
- Institute of Biosciences and Applications, National Center for Scientific Research “Demokritos”, Agia Paraskevi, Athens 15310, Greece
| | - Demetrios Vassilakos
- Department of Biology, National and Kapodistrian University of Athens, Athens 157 84, Greece
| | - Ioannis Kleidas
- Department of Biology, National and Kapodistrian University of Athens, Athens 157 84, Greece
| | - Martina Samiotaki
- Biomedical Sciences Research Center ‘Alexander Fleming’, Fleming 34, 16672, Vari, Greece
| | - Skarlatos G. Dedos
- Department of Biology, National and Kapodistrian University of Athens, Athens 157 84, Greece
| |
Collapse
|