Yong Hwee Foo

Determination of dissociation constants in living zebrafish embryos with single wavelength fluorescence cross-correlation spectroscopy.

The quantification of biological interactions is very important in life sciences. Here we report for the first time, to our knowledge, the determination of a biomolecular dissociation constant (K(D)) in living zebrafish embryos at physiological protein expression levels. For that purpose, we extend the application of single wavelength fluorescence cross-correlation spectroscopy into small organisms and measure the interaction of Cdc42, a small Rho-GTPase, and IQGAP1, an actin-binding scaffolding protein. Cdc42 and IQGAP1 were labeled with monomeric red fluorescent protein and enhanced green fluorescent protein, respectively. Both fluorophores were excited at a single wavelength of 514 nm, simplifying the fluorescence spectroscopy measurements and allowing quantification. For the determination of the interaction, we used two Cdc42 mutants, the constitutively active Cdc42(G12V) which is in a predominantly GTP-bound form and the dominant-negative GDP-bound Cdc42(T17N). While Cdc42(G12V) binds to IQGAP1 with an apparent K(D) of approximately 100 nM, Cdc42(T17N) has at least a one-order-of-magnitude lower affinity for the same protein. As a comparison, we measure the same protein-protein interactions in Chinese hamster ovary cell cultures but observe significant differences in protein mobility and K(D) from the zebrafish measurements, supporting the notion that bimolecular interactions depend on the biological system under investigation and are best performed under physiologically relevant conditions.

Factors Affecting the Quantification of Biomolecular Interactions by Fluorescence Cross-Correlation Spectroscopy

Fluorescence cross-correlation spectroscopy (FCCS) is used to determine interactions and dissociation constants (K(d)s) of biomolecules. The determination of a K(d) depends on the accurate measurement of the auto- and cross-correlation function (ACF and CCF) amplitudes. In the case of complete binding, the ratio of the CCF/ACF amplitudes is expected to be 1. However, measurements performed on tandem fluorescent proteins (FPs), in which two different FPs are linked, yield CCF/ACF amplitude ratios of ~0.5 or less for different FCCS schemes. We use single wavelength FCCS and pulsed interleaved excitation FCCS to measure various tandem FPs constituted of different red and green FPs and determine the causes for this suboptimal ratio. The main causes for the reduced CCF/ACF amplitude ratio are differences in observation volumes for the different labels, the existence of dark FPs due to maturation problems, photobleaching, and to a lesser extent Förster (or fluorescence) resonance energy transfer between the labels. We deduce the fraction of nonfluorescent proteins for EGFP, mRFP, and mCherry as well as the differences in observation volumes. We use this information to correct FCCS measurements of the interaction of Cdc42, a small Rho-GTPase, with its effector IQGAP1 in live cell measurements to obtain a label-independent value for the K(d).

Determination of in vivo dissociation constant, KD, of Cdc42-effector complexes in live mammalian cells using single wavelength fluorescence cross-correlation spectroscopy.

The RhoGTPase Cdc42 coordinates cell morphogenesis, cell cycle, and cell polarity decisions downstream of membrane-bound receptors through distinct effector pathways. Cdc42-effector protein interactions represent important elements of cell signaling pathways that regulate cell biology in systems as diverse as yeast and humans. To derive mechanistic insights into cell signaling pathways, it is vital that we generate quantitative data from in vivo systems. We need to be able to measure parameters such as protein concentrations, rates of diffusion, and dissociation constants (KD) of protein-protein interactions in vivo. Here we show how single wavelength fluorescence cross-correlation spectroscopy in combination with Förster resonance energy transfer analysis can be used to determine KD of Cdc42-effector interactions in live mammalian cells. Constructs encoding green fluorescent protein or monomeric red fluorescent protein fusion proteins of Cdc42, an effector domain (CRIB), and two effectors, neural Wiskott-Aldrich syndrome protein (N-WASP) and insulin receptor substrate protein (IRSp53), were expressed as pairs in Chinese hamster ovary cells, and concentrations of free protein as well as complexed protein were determined. The measured KD for Cdc42V12-N-WASP, Cdc42V12-CRIB, and Cdc42V12-IRSp53 was 27, 250, and 391 nm, respectively. The determination of KD for Cdc42-effector interactions opens the way to describe cell signaling pathways quantitatively in vivo in mammalian cells.

Cytoplasmic sensing by the inner membrane histidine kinase EnvZ.

Two-component regulatory systems drive signal transduction in bacteria. The simplest of these employs a membrane sensor kinase and a cytoplasmic response regulator. Environmental sensing is typically coupled to gene regulation. The histidine kinase EnvZ and its cognate response regulator OmpR regulate expression of outer membrane proteins (porins) in response to osmotic stress. We used hydrogen:deuterium exchange mass spectrometry to identify conformational changes in the cytoplasmic domain of EnvZ (EnvZc) that were associated with osmosensing. The osmosensor localized to a seventeen amino acid region of the four-helix bundle of the cytoplasmic domain and flanked the His(243) autophosphorylation site. High osmolality increased autophosphorylation of His(243), suggesting that these two events were linked. The transmembrane domains were not required for osmosensing, but mutants in the transmembrane domains altered EnvZ activity. A photoactivatable fusion protein composed of EnvZc fused to the fluorophore mEos2 (EnvZc-mEos2) was as capable as EnvZc in supporting OmpR-dependent ompF and ompC transcription. Over-expression of EnvZc reduced activity, indicating that the EnvZ/OmpR system is not robust. Our results support a model in which osmolytes stabilize helix one in the four-helix bundle of EnvZ by increased hydrogen bonding of the peptide backbone, increasing autophosphorylation and downstream signaling. The likelihood that additional histidine kinases use similar cytoplasmic sensing mechanisms is discussed.

On the Equivalence of FCS and FRAP: Simultaneous Lipid Membrane Measurements

Fluorescence correlation spectroscopy (FCS) and fluorescence recovery after photobleaching (FRAP) are widely used methods to determine diffusion coefficients. However, they often do not yield the same results. With the advent of camera-based imaging FCS, which measures the diffusion coefficient in each pixel of an image, and proper bleaching corrections, it is now possible to measure the diffusion coefficient by FRAP and FCS in the exact same images. We thus performed simultaneous FCS and FRAP measurements on supported lipid bilayers and live cell membranes to test how far the two methods differ in their results and whether the methodological differences, in particular the high bleach intensity in FRAP, the bleach corrections, and the fitting procedures in the two methods explain observed differences. Overall, we find that the FRAP bleach intensity does not measurably influence the diffusion in the samples, but that bleach correction and fitting introduce large uncertainties in FRAP. We confirm our results by simulations.

Fluorescence Cross-Correlation Spectroscopy (FCCS) in Living Cells

Fluorescence cross-correlation spectroscopy (FCCS) is a single-molecule sensitive technique to quantitatively study interactions among fluorescently tagged biomolecules. Besides the initial implementation as dual-color FCCS (DC-FCCS), FCCS has several powerful derivatives, including single-wavelength FCCS (SW-FCCS), two-photon FCCS (TP-FCCS), and pulsed interleaved excitation FCCS (PIE-FCCS). However, to apply FCCS successfully, one needs to be familiar with procedures ranging from fluorescent labeling, instrumentation setup and alignment, sample preparation, and data analysis. Here, we describe the procedures to apply FCCS in various biological samples ranging from live cells to in vivo measurements, with the focus on DC-FCCS and SW-FCCS.