44 research outputs found

    Cell Size Control in Yeast

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    Cell size is an important adaptive trait that influences nearly all aspects of cellular physiology. Despite extensive characterization of the cell-cycle regulatory network, the molecular mechanisms coupling cell growth to division, and thereby controlling cell size, have remained elusive. Recent work in yeast has reinvigorated the size control field and suggested provocative mechanisms for the distinct functions of setting and sensing cell size. Further examination of size-sensing models based on spatial gradients and molecular titration, coupled with elucidation of the pathways responsible for nutrient-modulated target size, may reveal the fundamental principles of eukaryotic cell size control

    Fueling the Cycle: CDKs in Carbon and Energy Metabolism

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    Cyclin-dependent kinases (CDKs) are the central regulators of the eukaryotic cell cycle, and are conserved across eukaryotes. Their main and well-studied function lies in the regulation and the time-keeping of cell cycle entry and progression. Additionally, more and more non canonical functions of CDKs are being uncovered. One fairly recently discovered role of CDKs is the coordination of carbon and energy metabolism with proliferation. Evidence from different model organisms is accumulating that CDKs can directly and indirectly control fluxes through metabolism, for example by phosphorylating metabolic enzymes. In this mini-review, we summarize the emerging role of CDKs in regulating carbon and energy metabolism and discuss examples in different models from yeast to cancer cells

    Mass spectrometry-based metabolomics:a guide for annotation, quantification and best reporting practices

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    Mass spectrometry-based metabolomics approaches can enable detection and quantification of many thousands of metabolite features simultaneously. However, compound identification and reliable quantification are greatly complicated owing to the chemical complexity and dynamic range of the metabolome. Simultaneous quantification of many metabolites within complex mixtures can additionally be complicated by ion suppression, fragmentation and the presence of isomers. Here we present guidelines covering sample preparation, replication and randomization, quantification, recovery and recombination, ion suppression and peak misidentification, as a means to enable high-quality reporting of liquid chromatography– and gas chromatography–mass spectrometry-based metabolomics-derived data.</p

    Engineering Genetically Encoded Nanosensors for Real-Time In Vivo Measurements of Citrate Concentrations

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    Citrate is an intermediate in catabolic as well as biosynthetic pathways and is an important regulatory molecule in the control of glycolysis and lipid metabolism. Mass spectrometric and NMR based metabolomics allow measuring citrate concentrations, but only with limited spatial and temporal resolution. Methods are so far lacking to monitor citrate levels in real-time in-vivo. Here, we present a series of genetically encoded citrate sensors based on Förster resonance energy transfer (FRET). We screened databases for citrate-binding proteins and tested three candidates in vitro. The citrate binding domain of the Klebsiella pneumoniae histidine sensor kinase CitA, inserted between the FRET pair Venus/CFP, yielded a sensor highly specific for citrate. We optimized the peptide linkers to achieve maximal FRET change upon citrate binding. By modifying residues in the citrate binding pocket, we were able to construct seven sensors with different affinities spanning a concentration range of three orders of magnitude without losing specificity. In a first in vivo application we show that E. coli maintains the capacity to take up glucose or acetate within seconds even after long-term starvation

    Softening the donor set for light-emitting electrochemical cells : [Ir(ppy)(2)(N boolean AND N)](+), [Ir(ppy)(2)(P boolean AND P)](+) and [Ir(ppy)(2)(P boolean AND S)](+) salts

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    The syntheses and solution characterizations of [Ir(ppy)(2)(1)[PF6] (1 =4,4`-di(2-furany1)-6,6`-dimethy12,2`-bipyridine), [Ir(ppy)(2)(dppe)1[PF6] (dppe =1,2-bis(diphenylphosphino)ethane), [Ir(ppy)(2)(2)][PF6] (2 =1,2-bis(diphenylphosphino)benzene) and [Ir(PPY)2(3)1[PF6] (3 = 2-diphenylphosphinothioanisole) are reported. Solutions of the iridium(Ill) complexes incorporating 1, 2 and dppe are photoluminescent, but [Ir(ppy)(2)(3)][PF6] is non-emissive. The single crystal structures of [Ir(ppy)(2)(1)][PF6]center dot 2CH(2)Cl(2). [Ir-(ppy)(2)(dppe)][PF6]. 4[1r(ppy)(2)(2][PF6]center dot 3CH(2)Cl(2) and [Ir(ppy)(2)(3)][PF6] have been determined, and the role of inter-ligand face-to-face It-stacking (a means of suppressing emission quenching) in the [Ir(ppy)(2)(ppy)(2)(dppe)](+), [Ir(ppy)(2)(2)](+) and [Ir(ppy)(2)(3)](+) cations is assessed

    Restricting the geometrical relaxation in four-coordinate copper(I) complexes using face-to-face and edge-to-face pi-interactions

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    A series of [Cu(N,N)(P,P)](+), [Cu(N,N)(P,S)](+), [Cu(N,N)(2)](+) and [Cu(P,S)(2)](+) complexes incorporating the ligands 2,2`-bipyridine, 1,10-phenanthroline, 1,2-bis(diphenylphosphino)ethane, bis(2-(diphenylphosphino)phenyl)ether (1), 2-diphenylphosphinothioanisole (3) and 2-methyl-6`-phenyl-2,2`- bipyridine (4) has been synthesized and structurally characterized. We have assessed the degree of distortion of two bidentate ligands away from an ideal tetrahedral arrangement about the copper(I) ion using the White model. The greatest distortion along a pathway towards square planar coordination is observed in [Cu(4)(2)][PF6] and is a result of intra-cation pi-stacking between phenyl and bpy domains. Each of the complexes which contain the P,S-chelating ligand 3 exhibits significant `rocking` or `wagging` distortions which are associated with intra-cation CHmethyl...pi interactions. The extent of this distortion can also be assessed using a less rigorous approach by measuring the S-Cu-X and P-Cu-X angles where the S and P atoms belong to ligand 3, and X is the midpoint of the backbone of the second ligand. [Cu(3)(2)][PF6] and [Cu(1)(3)][PF6] exhibit embraces between the phenyl substituents that result in the copper(I) ion being sterically protected, and the room temperature H-1 NMR solution spectrum of [Cu(1)(3)][PF6] reveals hindered rotation of the phenyl rings of ligand
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