Archives

  • 2018-07
  • 2018-10
  • 2018-11
  • 2019-04
  • 2019-05
  • 2019-06
  • 2019-07
  • 2019-08
  • 2019-09
  • 2019-10
  • 2019-11
  • 2019-12
  • 2020-01
  • 2020-02
  • 2020-03
  • 2020-04
  • 2020-05
  • 2020-06
  • 2020-07
  • 2020-08
  • 2020-09
  • 2020-10
  • 2020-11
  • 2020-12
  • 2021-01
  • 2021-02
  • 2021-03
  • 2021-04
  • 2021-05
  • 2021-06
  • 2021-07
  • 2021-08
  • 2021-09
  • 2021-10
  • 2021-11
  • 2021-12
  • 2022-01
  • 2022-02
  • 2022-03
  • 2022-04
  • 2022-05
  • 2022-06
  • 2022-07
  • 2022-08
  • 2022-09
  • 2022-10
  • 2022-11
  • 2022-12
  • 2023-01
  • 2023-02
  • 2023-03
  • 2023-04
  • 2023-05
  • 2023-06
  • 2023-08
  • 2023-09
  • 2023-10
  • 2023-11
  • 2023-12
  • 2024-01
  • 2024-02
  • 2024-03
  • 2024-04
  • purchase Epothilone B br Data The dataset of this article pr

    2018-11-07


    Data The dataset of this article provides information on the biotechnological production of lactic purchase Epothilone B (LA) by different isolates of Bacillus coagulans grown on lignin-containing substrates. Screening data achieved by a high-throughput method to derive kinetic parameters for the evaluation of the resistance to the component alkali-lignin (AL) are given. The data that are displayed in Fig. 1 represent the progression of parameter β[3] with increasing lignin concentration derived by the used screening method. The parameter β is discussed in the main research article Ref. [1] in comparison to a new parameter: δ which is also described in Ref. [1]. The measurement data on a bacterial screening process, the derived parameter for the maximum growth rate µ, and the lag time λ are given in the following files:
    Experimental design, materials, and methods The standard mean deviation of the distance of the measured experimental data and the model data, the correlation coefficient R2 and the analysis of variance (ANOVA) were used for the Evaluation of the model fittings. The single-factor ANOVA were based on a 95% confidence interval for the hypothesis that the experimental and model-derived data are equal. The estimation of the parameter values by model adjustment was performed by the genetic algorithm (GA) using MATLAB (Mathworks, Natick, MA) optimization tools to determine the minimum nonlinear least squares between the experimental and model data.
    Acknowledgments The author would like to thank the International Bureau at the PT-DLR and the Federal Ministry of Education and Research of Germany (BMBF) supporting the international cooperation (Grant No. 2010-1.1-203-070-026).
    Data The dataset of this article provides information on G-rich ONs that defy the consensus G3+NL1G3+NL2G3+NL3G3+ formula for G4 motifs and may form “imperfect” quadruplex structures (imGQs) with bulges between G-tetrads or vacancies/mismatches in the tetrads [2,3]. Table 1 contains MS data on imGQ ONs and control (GQ) ONs. GQ ONs are “perfect” G4s that comply with the G3+NL1G3+NL2G3+NL3G3+ formula. The ON set includes both genomic and model sequences. Fig. 1 contains data on secondary structures of genomic ONs and their mutants. Fig. 2 contains data on model ONs. Figs. 3 and 4 show NMM [4] and PDS [5] effects on thermal stabilities of GQs and imGQs, respectively. Fig. 5 shows ThT [6] fluorescence in complexes with GQs and imGQs.
    Experimental design, materials and methods Sequences of ONs CT1, PSTP and Bcl were chosen randomly from G-rich fragments of the human genome, chromosome 18 (chr18: +46379322 to +46379344, chr18: −43572049 to −43572072, chr18: −60985942 to −60985966, respectively, NCBI Reference Sequence: NC_000018.9). ONs Ct2-Ct4, CtA, CtC and CtG are Ct1 mutants. BclT, BclA and BclG are Bcl mutants. G3, G3A, G4, G4A and G4AA are model ONs (putative perfect and imperfect G4s with short loops). 22AG, Bcl-2, cKit1 and cMyc are control well-characterized G4s (see [7] and references therein). ON synthesis, HPLC purification and MALDI TOF MS analysis (Table 1) were performed as previously described [8]. Absorption, CD, and fluorescence emission spectra were recorded using a Chirascan spectrophotometer (Applied Photophysics, UK). Molar CD per nucleotide residue (Figs. 1A and 2A) was calculated as follows: Δε=θ/(32.982×C×l×n), where θ is ellipticity (degree), C is ON concentration (M); l is optical pathlength (cm) and n is the number of nucleotide residues in the ON. In the melting experiments (Figs. 1B and 2B), ON absorbance at 295nm was registered every 1°C across the 20–90°C temperature range (see Table 2 in [1] for Tm values). The heating rate was 1°C /min. Rotational relaxation times (RRT) of ethidium bromide (EtBr) complexes with the ONs (Figs. 1C and 2C) were estimated using the PerrineWeber equation [9,10]: RRT=3τ(1/P0−1/3)/(1/P−1/P0), where P is observed polarization, P0=41±1% is its limiting value in the absence of rotational depolarization, and τ is fluorescence lifetime of EtBr in complexes with the ONs. The fluorescence polarization P was calculated as previously described [9]: P=(I −I┴)/(I +I┴). The vertical (I ) and horizontal (I┴) components of EtBr fluorescence intensity at emission maximum (610nm) were measured with Cary Eclipse spectrofluorometer at 4°C upon excitation at 540nm by the vertically polarized light. Concentration of EtBr was 1μM, and ON concentration was 5μM. The fluorescence lifetime (τ) was evaluated using Easy Life V. Fluorescence decay was registered through a RG610 long pass filter at excitation LED 525nm. Thermal difference spectra (TDS, Figs. 1D and 2D) were obtained by subtracting ON absorption spectra recorded at 20°C from the spectra recorded at 90°C.