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Molecular basis of beta-arrestin coupling to formoterol-bound beta(1)-adrenoceptor 期刊论文
NATURE, 2020
作者:  Pulliainen, Jouni;  Luojus, Kari;  Derksen, Chris;  Mudryk, Lawrence;  Lemmetyinen, Juha;  Salminen, Miia;  Ikonen, Jaakko;  Takala, Matias;  Cohen, Juval;  Smolander, Tuomo;  Norberg, Johannes
收藏  |  浏览/下载:37/0  |  提交时间:2020/07/03

The beta(1)-adrenoceptor (beta(1)AR) is a G-protein-coupled receptor (GPCR) that couples(1)to the heterotrimeric G protein G(s). G-protein-mediated signalling is terminated by phosphorylation of the C terminus of the receptor by GPCR kinases (GRKs) and by coupling of beta-arrestin 1 (beta arr1, also known as arrestin 2), which displaces G(s)and induces signalling through the MAP kinase pathway(2). The ability of synthetic agonists to induce signalling preferentially through either G proteins or arrestins-known as biased agonism(3)-is important in drug development, because the therapeutic effect may arise from only one signalling cascade, whereas the other pathway may mediate undesirable side effects(4). To understand the molecular basis for arrestin coupling, here we determined the cryo-electron microscopy structure of the beta(1)AR-beta arr1 complex in lipid nanodiscs bound to the biased agonist formoterol(5), and the crystal structure of formoterol-bound beta(1)AR coupled to the G-protein-mimetic nanobody(6)Nb80. beta arr1 couples to beta(1)AR in a manner distinct to that(7)of G(s)coupling to beta(2)AR-the finger loop of beta arr1 occupies a narrower cleft on the intracellular surface, and is closer to transmembrane helix H7 of the receptor when compared with the C-terminal alpha 5 helix of G(s). The conformation of the finger loop in beta arr1 is different from that adopted by the finger loop of visual arrestin when it couples to rhodopsin(8). beta(1)AR coupled to beta arr1 shows considerable differences in structure compared with beta(1)AR coupled to Nb80, including an inward movement of extracellular loop 3 and the cytoplasmic ends of H5 and H6. We observe weakened interactions between formoterol and two serine residues in H5 at the orthosteric binding site of beta(1)AR, and find that formoterol has a lower affinity for the beta(1)AR-beta arr1 complex than for the beta(1)AR-G(s)complex. The structural differences between these complexes of beta(1)AR provide a foundation for the design of small molecules that could bias signalling in the beta-adrenoceptors.


A cryo-electron microscopy structure of the beta 1-adrenoceptor coupled to beta-arrestin 1 and activated by the biased agonist formoterol, as well as the crystal structure of a related formoterol-bound adrenoreceptor, provide insights into biased signalling in these systems.


  
A biomimetic eye with a hemispherical perovskite nanowire array retina 期刊论文
NATURE, 2020, 581 (7808) : 278-+
作者:  Hueckel, Theodore;  Hocky, Glen M.;  Palacci, Jeremie;  Sacanna, Stefano
收藏  |  浏览/下载:76/0  |  提交时间:2020/07/03

A biomimetic electrochemical eye is presented that has a hemispherical retina made from a high-density array of perovskite nanowires that are sensitive to light, mimicking the photoreceptors of a biological retina.


Human eyes possess exceptional image-sensing characteristics such as an extremely wide field of view, high resolution and sensitivity with low aberration(1). Biomimetic eyes with such characteristics are highly desirable, especially in robotics and visual prostheses. However, the spherical shape and the retina of the biological eye pose an enormous fabrication challenge for biomimetic devices(2,3). Here we present an electrochemical eye with a hemispherical retina made of a high-density array of nanowires mimicking the photoreceptors on a human retina. The device design has a high degree of structural similarity to a human eye with the potential to achieve high imaging resolution when individual nanowires are electrically addressed. Additionally, we demonstrate the image-sensing function of our biomimetic device by reconstructing the optical patterns projected onto the device. This work may lead to biomimetic photosensing devices that could find use in a wide spectrum of technological applications.


  
Fundamental bounds on the fidelity of sensory cortical coding 期刊论文
NATURE, 2020
作者:  Rempel, S.;  Gati, C.;  Nijland, M.;  Thangaratnarajah, C.;  Karyolaimos, A.;  de Gier, J. W.;  Guskov, A.;  Slotboom, D. J.
收藏  |  浏览/下载:29/0  |  提交时间:2020/07/03

How the brain processes information accurately despite stochastic neural activity is a longstanding question(1). For instance, perception is fundamentally limited by the information that the brain can extract from the noisy dynamics of sensory neurons. Seminal experiments(2,3) suggest that correlated noise in sensory cortical neural ensembles is what limits their coding accuracy(4-6), although how correlated noise affects neural codes remains debated(7-11). Recent theoretical work proposes that how a neural ensemble'  s sensory tuning properties relate statistically to its correlated noise patterns is a greater determinant of coding accuracy than is absolute noise strength(12-14). However, without simultaneous recordings from thousands of cortical neurons with shared sensory inputs, it is unknown whether correlated noise limits coding fidelity. Here we present a 16-beam, two-photon microscope to monitor activity across the mouse primary visual cortex, along with analyses to quantify the information conveyed by large neural ensembles. We found that, in the visual cortex, correlated noise constrained signalling for ensembles with 800-1,300 neurons. Several noise components of the ensemble dynamics grew proportionally to the ensemble size and the encoded visual signals, revealing the predicted information-limiting correlations(12-14). Notably, visual signals were perpendicular to the largest noise mode, which therefore did not limit coding fidelity. The information-limiting noise modes were approximately ten times smaller and concordant with mouse visual acuity(15). Therefore, cortical design principles appear to enhance coding accuracy by restricting around 90% of noise fluctuations to modes that do not limit signalling fidelity, whereas much weaker correlated noise modes inherently bound sensory discrimination.


A microscopy system that enables simultaneous recording from hundreds of neurons in the mouse visual cortex reveals that the brain enhances its coding capacity by representing visual inputs in dimensions perpendicular to correlated noise.


  
Communication of IPCC visuals: IPCC authors' views and assessments of visual complexity 期刊论文
CLIMATIC CHANGE, 2019
作者:  Harold, Jordan;  Lorenzoni, Irene;  Shipley, Thomas F.;  Coventry, Kenny R.
收藏  |  浏览/下载:21/0  |  提交时间:2020/02/17
IPCC  Climate science  Complexity  Science communication  visual design  
Using Virtual Reality for assessing the role of noise in the audio-visual design of an urban public space 期刊论文
LANDSCAPE AND URBAN PLANNING, 2017, 167
作者:  Echevarria Sanchez, Gemma Maria;  Van Renterghem, Timothy;  Sun, Kang;  De Coensel, Bert;  Botteldooren, Dick
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/09
Audio-visual interactions  Virtual reality  Ambisonics  Urban design  Urban sound planning  Public space