Browse
Submit Data
Databases
API
Help

Dataset Information

20 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Uncovering the hidden ground state of green fluorescent protein.

ABSTRACT: The fluorescence properties of GFP are strongly influenced by the protonation states of its chromophore and nearby amino acid side chains. In the ground state, the GFP chromophore is neutral and absorbs in the near UV. Upon excitation, the chromophore is deprotonated, and the resulting anionic chromophore emits its green fluorescence. So far, only excited-state intermediates have been observed in the GFP photocycle. We have used ultrafast multipulse control spectroscopy to prepare and directly observe GFP's hidden anionic ground-state intermediates as an integral part of the photocycle. Combined with dispersed multichannel detection and advanced global analysis techniques, the existence of two distinct anionic ground-state intermediates, I(1) and I(2), has been unveiled. I(1) and I(2) absorb at 500 and 497 nm, respectively, and interconvert on a picosecond timescale. The I(2) intermediate has a lifetime of 400 ps, corresponding to a proton back-transfer process that regenerates the neutral ground state. Hydrogen/deuterium exchange of the protein leads to a significant increase of the I(1) and I(2) lifetimes, indicating that proton motion underlies their dynamics. We thus have assessed the complete chain of reaction intermediates and associated timescales that constitute the photocycle of GFP. Many elementary processes in biology rely on proton transfers that are limited by slow diffusional events, which seriously precludes their characterization. We have resolved the true reaction rate of a proton transfer in the molecular ground state of GFP, and our results may thus aid in the development of a generic understanding of proton transfer in biology.

SUBMITTER: Kennis JT

PROVIDER: S-EPMC539731 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Ground-state proton transfer kinetics in green fluorescent protein.

Project description:Proton transfer plays an important role in the optical properties of green fluorescent protein (GFP). While much is known about excited-state proton transfer reactions (ESPT) in GFP occurring on ultrafast time scales, comparatively little is understood about the factors governing the rates and pathways of ground-state proton transfer. We have utilized a specific isotopic labeling strategy in combination with one-dimensional (13)C nuclear magnetic resonance (NMR) spectroscopy to install and monitor a (13)C directly adjacent to the GFP chromophore ionization site. The chemical shift of this probe is highly sensitive to the protonation state of the chromophore, and the resulting spectra reflect the thermodynamics and kinetics of the proton transfer in the NMR line shapes. This information is complemented by time-resolved NMR, fluorescence correlation spectroscopy, and steady-state absorbance and fluorescence measurements to provide a picture of chromophore ionization reactions spanning a wide time domain. Our findings indicate that proton transfer in GFP is described well by a two-site model in which the chromophore is energetically coupled to a secondary site, likely the terminal proton acceptor of ESPT, Glu222. Additionally, experiments on a selection of GFP circular permutants suggest an important role played by the structural dynamics of the seventh β-strand in gating proton transfer from bulk solution to the buried chromophore.

| S-EPMC4172208 | biostudies-literature

Uncovering ecological state dynamics with hidden Markov models.

Project description:Ecological systems can often be characterised by changes among a finite set of underlying states pertaining to individuals, populations, communities or entire ecosystems through time. Owing to the inherent difficulty of empirical field studies, ecological state dynamics operating at any level of this hierarchy can often be unobservable or 'hidden'. Ecologists must therefore often contend with incomplete or indirect observations that are somehow related to these underlying processes. By formally disentangling state and observation processes based on simple yet powerful mathematical properties that can be used to describe many ecological phenomena, hidden Markov models (HMMs) can facilitate inferences about complex system state dynamics that might otherwise be intractable. However, HMMs have only recently begun to gain traction within the broader ecological community. We provide a gentle introduction to HMMs, establish some common terminology, review the immense scope of HMMs for applied ecological research and provide a tutorial on implementation and interpretation. By illustrating how practitioners can use a simple conceptual template to customise HMMs for their specific systems of interest, revealing methodological links between existing applications, and highlighting some practical considerations and limitations of these approaches, our goal is to help establish HMMs as a fundamental inferential tool for ecologists.

| S-EPMC7702077 | biostudies-literature

An alternative excited-state proton transfer pathway in green fluorescent protein variant S205V.

Project description:Wild-type green fluorescent protein (wt-GFP) has a prominent absorbance band centered at approximately 395 nm, attributed to the neutral chromophore form. The green emission arising upon excitation of this band results from excited-state proton transfer (ESPT) from the chromophore hydroxyl, through a hydrogen-bond network proposed to consist of a water molecule and Ser205, to Glu222. Although evidence for Glu222 as a terminal proton acceptor has already been obtained, no evidence for the participation of Ser205 in the proton transfer process exists. To examine the role of Ser205 in the proton transfer, we mutated Ser205 to valine. However, the derived GFP variant S205V, upon excitation at 400 nm, still produces green fluorescence. Time-resolved emission spectroscopy suggests that ESPT contributes to the green fluorescence, and that the proton transfer takes place approximately 30 times more slowly than in wt-GFP. The crystal structure of S205V reveals rearrangement of Glu222 and Thr203, forming a new hydrogen-bonding network. We propose this network to be an alternative ESPT pathway with distinctive features that explain the significantly slowed rate of proton transfer. In support of this proposal, the double mutant S205V/T203V is shown to be a novel blue fluorescent protein containing a tyrosine-based chromophore, yet is incapable of ESPT. The results have implications for the detailed mechanism of ESPT and the photocycle of wt-GFP, in particular for the structures of spectroscopically identified intermediates in the cycle.

| S-EPMC2222808 | biostudies-literature

Bead based facile assay for sensitive quantification of native state green fluorescent protein.

Project description:A facile method for the quantification of native state protein is strongly required to accurately determine the amount of expressed protein of interest. Here we report a simple bead-based assay, which can sensitively quantify the amount of native state green fluorescent protein using Ni-NTA (nickel-nitrilotriacetic acid)-modified microbead particles. The bead-based method is simple and straightforward to perform and it showed a highly sensitive capability to detect the expressed fluorescent protein because of the enriched fluorescent protein on the beads.

| S-EPMC9051470 | biostudies-literature

Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition.

Project description:Human cognition is influenced not only by external task demands but also latent mental processes and brain states that change over time. Here, we use novel Bayesian switching dynamical systems algorithm to identify hidden brain states and determine that these states are only weakly aligned with external task conditions. We compute state transition probabilities and demonstrate how dynamic transitions between hidden states allow flexible reconfiguration of functional brain circuits. Crucially, we identify latent transient brain states and dynamic functional circuits that are optimal for cognition and show that failure to engage these states in a timely manner is associated with poorer task performance and weaker decision-making dynamics. We replicate findings in a large sample (N?=?122) and reveal a robust link between cognition and flexible latent brain state dynamics. Our study demonstrates the power of switching dynamical systems models for investigating hidden dynamic brain states and functional interactions underlying human cognition.

| S-EPMC6021386 | biostudies-literature

The extremely slow-exchanging core and acid-denatured state of green fluorescent protein.

Project description:Green fluorescent protein (GFP) is a large protein with a complex eleven-stranded beta-barrel structure. Previous studies have shown that it has a complex energy landscape for folding on which there are several intermediate states and a denatured state with significant residual structure. Here, we use two different types of HD exchange measurement and nuclear magnetic resonance (NMR) techniques to probe the energy landscape for folding of GFP in further detail. HD exchange experiments were performed over a wide range of conditions including different concentrations of denaturant. Results show that the penetration model dominates the exchange mechanism, consistent with the known stability and slow unfolding kinetics of GFP. HD exchange experiments at high pH establish that there is an extremely slow-exchanging superstable core of amide protons in GFP that are clustered and located in beta-strands 1, 2, 4, 5, and 6. These residues form part of a mini-beta-sheet which we propose constitutes a folding nucleus. Using a pulsed-labeling strategy, the acid-denatured state has been investigated and the residual structure observed in earlier studies shown to locate to beta-strands 1 and 3. There is some evidence that this residual structure is stabilized by a localized hydrophobic collapse of the polypeptide chain.

| S-EPMC2645585 | biostudies-other

Blue-Shifted Green Fluorescent Protein Homologues Are Brighter than Enhanced Green Fluorescent Protein under Two-Photon Excitation.

Project description:Fluorescent proteins (FPs) are indispensable markers for two-photon imaging of live tissue, especially in the brains of small model organisms. The quantity of physiologically relevant data collected, however, is limited by heat-induced damage of the tissue due to the high intensities of the excitation laser. We seek to minimize this damage by developing FPs with improved brightness. Among FPs with the same chromophore structure, the spectral properties can vary widely due to differences in the local protein environment. Using a physical model that describes the spectra of FPs containing the anionic green FP (GFP) chromophore, we predict that those that are blue-shifted in one-photon absorption will have stronger peak two-photon absorption cross sections. Following this prediction, we present 12 blue-shifted GFP homologues and demonstrate that they are up to 2.5 times brighter than the commonly used enhanced GFP (EGFP).

| S-EPMC5474692 | biostudies-literature

Synthetic control of green fluorescent protein.

Project description:Semisynthetic green fluorescent proteins (GFPs) can be prepared by producing truncated GFPs recombinantly and assembling them with synthetic beta-strands of GFP. The yield from expressing the truncated GFPs is low, and the chromophore is either partially formed or not formed. An alternative method is presented in which full-length proteins are produced recombinantly with a protease site inserted between the structural element to be removed and the rest of the protein. The native peptide can then be replaced by cutting the protease site with trypsin, denaturing in guanidine hydrochloride to disrupt the complex, separating the native peptide from the rest of the protein by size exclusion, and refolding the protein in the presence of a synthetic peptide. We show that this method allows for removal and replacement of the interior chromophore containing helix and that the GFP barrel is capable of inducing chromophore formation in a synthetic interior helix.

| S-EPMC2783612 | biostudies-literature

RNA mimics of green fluorescent protein.

Project description:Green fluorescent protein (GFP) and its derivatives have transformed the use and analysis of proteins for diverse applications. Like proteins, RNA has complex roles in cellular function and is increasingly used for various applications, but a comparable approach for fluorescently tagging RNA is lacking. Here, we describe the generation of RNA aptamers that bind fluorophores resembling the fluorophore in GFP. These RNA-fluorophore complexes create a palette that spans the visible spectrum. An RNA-fluorophore complex, termed Spinach, resembles enhanced GFP and emits a green fluorescence comparable in brightness with fluorescent proteins. Spinach is markedly resistant to photobleaching, and Spinach fusion RNAs can be imaged in living cells. These RNA mimics of GFP provide an approach for genetic encoding of fluorescent RNAs.

| S-EPMC3314379 | biostudies-literature

Blue‐shifting green fluorescent proteins using REPLACE

Project description:In the directed evolution experiments of EGFP or StayGold, the objective was to blue-shift the excitation light spectrum of GFP towards shorter wavelengths, resulting in an enhancement of fluorescence intensity upon 405 nm laser excitation. This facilitates the advancement of novel fluorescent proteins. These experiments represent a category of experiments that utilize REPLACE to achieve discontinuous directed evolution through FACS sorting (screening).

2024-09-30 | GSE271876 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data