David W Galbraith

PMID: 17977848;Abstract:

Artificial induction of grape bud dormancy release by hydrogen cyanamide (HC) serves as a reliable model system to explore the events occurring shortly after the induction of dormancy release. Recently, a group of genes with remarkable differences in expression level between HC-treated and control buds was identified. The identification of several calcium signalling-related genes within that group raised the hypothesis of the involvement of Ca²⁺ signalling in grape bud dormancy release. Therefore, the effects of HC treatment on the expression profiles of several calcium sensors, the effect of the plasma membrane calcium channel blocker LaCl3 and the calcium chelator EGTA on HC-induced and chilling-induced bud-break, and the effect of HC application on calcium-dependent protein phosphorylation activities in the bud tissue were studied. Here the HC-induced expression of Ca²⁺-ATPase is described, indicating that this treatment might evoke an increase in [Ca²⁺]cyt. Similar induction was confirmed for calmodulin, calmodulin-binding protein, and calcium-dependent protein kinase (CDPK). Both LaCl3 and EGTA blocked the inducing effect of HC on bud-break, and their inhibitory effects were removed by supplying exogenous Ca²⁺. Calcium-dependent histone phosphorylation was up to 70% higher in HC-treated buds. Endogenous protein phosphorylation assays detected four proteins exhibiting increased phosphorylation following HC treatment, of which two were phosphorylated in a calcium-dependent manner. One of these, a 47 kDa protein, presented strong and Ca²⁺-dependent phosphorylation only in HC-treated buds. The potential role of CDPK in the phosphorylation of this protein was supported by an immunoprecipitation assay. The data suggest, for the first time, that calcium signalling is involved in the mechanism of bud dormancy release. © 2007 The Author(s).

Current commercial flow cytometers employ analog circuits to produce the feature values of the pulse waveforms that result from particle analysis. The use of analog pulse processing limits the features that can be measured to pulse integral, pulse height, and pulse width, and a large amount of potentially relevant information about the shape of the pulse waveform is lost. Direct digitizing of the waveform provides a means for the extraction of additional features, for example, pulse skewness and kurtosis, as well as the Fourier properties of the pulse. Here we describe a digital pulse waveform processing system that is compatible both with a commercial flow cytometer, and with a readily available computational platform. The performance of the digital and analog systems were compared through analysis of synthetic waveforms, and the waveforms produced by standard fluorescence microspheres and biological particles. The digital waveform processing system was found to be accurate and flexible, and the value of several of its unique attributes was demonstrated using biological cells. A protocol was designed in which digital pulse processing provided a means for the quantitative monitoring of the optical alignment of the flow cytometer. It was shown that digital pulse processing could be used to discriminate between particle classes which produce feature values indistinguishable through analog pulse processing, and to discriminate accurately single cells from doublets and larger aggregates.

PMID: 17754551;Abstract:

Mechanical chopping of plant tissues in the presence of mithramycin released intact nuclei representative of the cells within the tissues. The amount of nuclear DNA in the homogenates of monocotyledonous and dicotyledonous plants was accurately and rapidly determined by flow microfluorometry, and the distribution of nuclei involved in the cell cycle was charted for tissues selected from different physical locations or developmental stages.

It has recently been established that synthesis of double-stranded cDNA can be done from a single cell for use in DNA sequencing. Global gene expression can be quantified from the number of reads mapping to each gene, and mutations and mRNA splicing variants determined from the sequence reads. Here we demonstrate that this method of transcriptomic analysis can be done using the extremely low levels of mRNA in a single nucleus, isolated from a mouse neural progenitor cell line and from dissected hippocampal tissue. This method is characterized by excellent coverage and technical reproducibility. On average, more than 16,000 of the 24,057 mouse protein-coding genes were detected from single nuclei, and the amount of gene-expression variation was similar when measured between single nuclei and single cells. Several major advantages of the method exist: first, nuclei, compared with whole cells, have the advantage of being easily isolated from complex tissues and organs, such as those in the CNS. Second, the method can be widely applied to eukaryotic species, including those of different kingdoms. The method also provides insight into regulatory mechanisms specific to the nucleus. Finally, the method enables dissection of regulatory events at the single-cell level; pooling of 10 nuclei or 10 cells obscures some of the variability measured in transcript levels, implying that single nuclei and cells will be extremely useful in revealing the physiological state and interconnectedness of gene regulation in a manner that avoids the masking inherent to conventional transcriptomics using bulk cells or tissues.