Many genetically encoded biosensors use Förster resonance energy transfer (FRET) between fluorescent proteins to report biochemical phenomena in living cells. Most commonly, the enhanced cyan fluorescent protein (ECFP) is used as the donor fluorophore, coupled with one of several yellow fluorescent protein (YFP) variants as the acceptor. ECFP is used despite several spectroscopic disadvantages, namely a low quantum yield, a low extinction coefficient and a fluorescence lifetime that is best fit by a double exponential. To improve the characteristics of ECFP for FRET measurements, we used a site-directed mutagenesis approach to overcome these disadvantages. The resulting variant, which we named Cerulean (ECFP/S72A/Y145A/H148D), has a greatly improved quantum yield, a higher extinction coefficient and a fluorescence lifetime that is best fit by a single exponential. Cerulean is 2.5-fold brighter than ECFP and replacement of ECFP with Cerulean substantially improves the signal-to-noise ratio of a FRET-based sensor for glucokinase activation.

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SUMMARY A clear relationship exists between visceral obesity and type 2 diabetes, whereas subcutaneous obesity is comparatively benign. Here we show that adipocyte-specific deletion of the coregulatory protein PRDM16 caused minimal effects on classical brown fat but markedly inhibited beige adipocyte function in subcutaneous fat following cold exposure or β3-agonist treatment. These animals developed obesity on a high fat diet, with severe insulin resistance and hepatic steatosis. They also showed altered fat distribution with markedly increased subcutaneous adiposity. Subcutaneous adipose tissue in mutant mice acquired many key properties of visceral fat, including decreased thermogenic and increased inflammatory gene expression and increased macrophage accumulation. Transplantation of subcutaneous fat into mice with diet-induced obesity showed a loss of metabolic benefit when tissues were derived from PRDM16 mutant animals. These findings indicate that PRDM16 and beige adipocytes are required for the “browning” of white fat and the healthful effects of subcutaneous adipose tissue.

We have investigated properties relevant to quantitative imaging in living cells of five green fluorescent protein (GFP) variants that have been used extensively or are potentially useful. We measured the extinction coefficients, quantum yields, pH effects, photobleaching effects, and temperature-dependent chromophore formation of wtGFP, alphaGFP (F99S/M153T/V163A), S65T, EGFP (F64L/S65T), and a blue-shifted variant, EBFP (F64L/S65T/Y66H/Y145F). Absorbance and fluorescence spectroscopy showed little difference between the extinction coefficients and quantum yields of wtGFP and alphaGFP. In contrast, S65T and EGFP extinction coefficients made them both approximately 6-fold brighter than wtGFP when excited at 488 nm, and EBFP absorbed more strongly than the wtGFP when excited in the near-UV wavelength region, although it had a much lower quantum efficiency. When excited at 488 nm, the GFPs were all more resistant to photobleaching than fluorescein. However, the wtGFP and alphaGFP photobleaching patterns showed initial increases in fluorescence emission caused by photoconversion of the protein chromophore. The wtGFP fluorescence decreased more quickly when excited at 395 nm than 488 nm, but it was still more photostable than the EBFP when excited at this wavelength. The wtGFP and alphaGFP were quite stable over a broad pH range, but fluorescence of the other variants decreased rapidly below pH 7. When expressed in bacteria, chromophore formation in wtGFP and S65T was found to be less efficient at 37 degrees C than at 28 degrees C, but the other three variants showed little differences between 37 degrees C and 28 degrees C. In conclusion, no single GFP variant is ideal for every application, but each one offers advantages and disadvantages for quantitative imaging in living cells.

Single gold-tagged epidermal growth factor (EGF) molecules bound to cellular EGF receptors of fixed fibroblast cells were imaged in liquid with a scanning transmission electron microscope (STEM). The cells were placed in buffer solution in a microfluidic device with electron transparent windows inside the vacuum of the electron microscope. A spatial resolution of 4 nm and a pixel dwell time of 20 s were obtained. The liquid layer was sufficiently thick to contain the cells with a thickness of 7 ؎ 1 m. The experimental findings are consistent with a theoretical calculation. Liquid STEM is a unique approach for imaging single molecules in whole cells with significantly improved resolution and imaging speed over existing methods. cellular imaging ͉ molecular labels U nderstanding cellular function at a molecular level requires imaging techniques capable of imaging whole cells with a resolution sufficient to image individually tagged proteins. Electron microscopy and X-ray diffraction are traditionally used to resolve the structures of individual proteins and to image proteins distributions in cells (1). Imaging with these techniques demands extensive sample preparation to obtain, e.g., proteins crystals, stained thin sections, or frozen samples. The cells are thus not in their native liquid state. Light microscopy is used to image protein distributions via fluorescent labels on fixed cells in liquid and in live cells to investigate cellular function (2). Superresolution techniques surpass the diffraction limit in optical microscopy (3-6), but despite recent advances, these methods are still restricted to spatial resolutions Ͼ10-20 nm. Further, their optimal performance requires extended imaging times, and significant data postprocessing. The speed can only be increased at the cost of resolution.Here, we describe a direct technique for imaging whole cells in liquid that offers nanometer spatial resolution and a high imaging speed. The principle is explained in Fig. 1. The eukaryotic cells in liquid are placed in a microfluidic flow cell with a thickness of up to 10 m contained between 2 ultrathin electron transparent windows. This flow cell is placed in the vacuum of a STEM, using a fluid specimen holder. The annular dark field (ADF) detector in the STEM is sensitive to scattered electrons, which are generated in proportion to the atomic number (Z) of the atoms in the specimen (7, 8), so-called Z contrast, where the contrast varies with ϷZ 2 . It is thus possible to image specific high-Z atoms, such as gold, inside a thick (several micrometer) layer of low-Z material, such as water, protein, or the embedding medium of a thin section (9). We used this approach to raster image single gold-tagged epidermal growth factor (EGF) molecules bound to cellular EGF receptors on fibroblast cells with a spatial resolution of 4 nm and a pixel dwell time of 20 s. ResultsCOS7 fibroblast cells were labeled with 10-nm gold nanoparticles conjugated with epidermal growth factor (EGF-Au). The cells were grown, labeled, and fixed directl...

The advent of fluorescent proteins (FP) for genetic labeling of molecules and cells has revolutionized fluorescence microscopy. Genetic manipulations have created a vast array of bright and stable FPs spanning the blue to red spectral regions. Common to autofluorescent FPs is their tight β-barrel structure, which provides the rigidity and chemical environment needed for effectual fluorescence. Despite the common structure, each FP has its own unique photophysical properties. Thus, there is no single “best” fluorescent protein for every circumstance, and each FP has advantages and disadvantages. To guide decisions about which FP is right for any given application, we have characterized quantitatively over 40 different FPs for their brightness, photostability, pH stability, and monomeric properties, which permits easy apples-to-apples comparisons between these FPs. We report the values for all of the FPs measured, but focus the discussion on the more popular and/or best performing FPs in each spectral region.

The intensity-squared dependence of two-photon excitation in laser scanning microscopy restricts excitation to the focal plane and leads to decreased photobleaching in thick samples. However, the high photon flux used in these experiments can potentially lead to higher-order photon interactions within the focal volume. The excitation power dependence of the fluorescence intensity and the photobleaching rate of thin fluorescence samples ( approximately 1 microm) were examined under one- and two-photon excitation. As expected, log-log plots of excitation power versus the fluorescence intensity and photobleaching rate for one-photon excitation of fluorescein increased with a slope of approximately 1. A similar plot of the fluorescence intensity versus two-photon excitation power increased with a slope of approximately 2. However, the two-photon photobleaching rate increased with a slope> or =3, indicating the presence of higher-order photon interactions. Similar experiments on Indo-1, NADH, and aminocoumarin produced similar results and suggest that this higher-order photobleaching is common in two-photon excitation microscopy. As a consequence, the use of multi-photon excitation microscopy to study thin samples may be limited by increased photobleaching.

The pancreatic islet is a highly coupled, multicellular system that exhibits complex spatiotemporal electrical activity in response to elevated glucose levels. The emergent properties of islets, which differ from those arising in isolated islet cells, are believed to arise in part by gap junctional coupling, but the mechanisms through which this coupling occurs are poorly understood. To uncover these mechanisms, we have used both high-speed imaging and theoretical modeling of the electrical activity in pancreatic islets under a reduction in the gap junction mediated electrical coupling. Utilizing islets from a gap junction protein connexin 36 knockout mouse model together with chemical inhibitors, we can modulate the electrical coupling in the islet in a precise manner and quantify this modulation by electrophysiology measurements. We find that after a reduction in electrical coupling, calcium waves are slowed as well as disrupted, and the number of cells showing synchronous calcium oscillations is reduced. This behavior can be reproduced by computational modeling of a heterogeneous population of beta-cells with heterogeneous levels of electrical coupling. The resulting quantitative agreement between the data and analytical models of islet connectivity, using only a single free parameter, reveals the mechanistic underpinnings of the multicellular behavior of the islet.