Design of a synthesis‐friendly hypoxia‐responsive promoter for cell‐based therapeutics

Towards the goal of making ‘smart’ cell therapies, one that recognizes disease conditions (e.g. hypoxia) and then produces mitigating biologics, it is important to develop suitable promoters. Currently, hypoxia responsive promoters are composed of strongly repeated sequences containing hypoxia response elements upstream of a minimal core promoter. Unfortunately, such repeated sequences have inherent genomic instability that may compromise the long‐term consistency of cell‐based therapeutics. Thus, we designed a synthesis‐friendly hypoxia‐inducible promoter (named SFHp) that has GC content between 25% and 75% and no repeats greater than 9 base pairs. In HEK293 cells stably integrated with genes regulated by synthetic SFHp, we demonstrated inducible reporter expression with fluorescent proteins, cell morphology rewiring with our previously engineered RhoA protein and intercellular cell signalling with secreted cytokines. These experiments exemplify the potential usage of SFHp in cell‐based therapeutics with integrated genetic circuits that inducibly respond to the disease microenvironment.     

Comparison of promoters suitable for regulated overexpression of β-galactosidase in the alkane-utilizing yeastYarrowia lipolytica

Promoters of the genesG3P, ICL1, POT1, POX1, POX2 andPOX5 of the yeastY. lipolytica were studied in respect to their regulations and activities during growth on different carbon sources. The aim of this study was to select suitable promoters for high expression of heterologous genes in this yeast. For this purpose the promoters were fused with the reporter genelacZ ofE. coli and integrated as single copies into the genome ofY. lipolytica strain PO1d. The measurement of expressed activities of β-galactosidase revealed thatpICL1, pPOX2 andpPOT1 are the strongest regulable promoters available forY. lipolytica, at present.pPOX2 andpPOT4 were highly induced during growth on oleic acid and were completely repressed by glucose and glycerol.pICL1 was strongly inducible by ethanol besides alkanes and fatty acids, however, not completely repressible by glucose or glycerol. Ricinoleic acid methyl ester appeared as a very strong inducer forpPOT1 andpPOX2, in spite of that it inhibited growth ofY. lipolytica transformants.     

植物环境响应启动子的诱导元件及转录因子

光、温度、水分等环境因素影响植物的生长发育,植物可以通过启动子中顺式作用元件与转录因子的相互协调作用,对这些信号产生响应,调控基因表达。本文综述了光、温度、水分诱导表达启动子中的顺式作用元件及相关转录因子研究的最新进展,从分子水平上探讨了环境因子诱导的基因表达调控,对研究植物适应环境的机制具有一定的意义。     

Expression of hepatitis B virus surface antigen gene in Escherichia coli

Direct expression of hepatitis B virus (HBV) surface antigen (HBsAg) gene under the control of the Escherichia coli tryptophan operon (trp) promoter has been achieved. Synthesis of HBsAg (both complete and lacking its N-terminal segment) as a part of hybrid proteins with the N-terminal portion coded by genes cat, kan or bla is controlled by the appropriate promoters, as well as by the trp promoter. The highest levels of expression, including those for direct synthesis of HBsAg, provide the accumulation of about 10⁵ polypeptide molecules per bacterial cell.     

Identification of tumor evolution patterns by means of inductive logic programming

In considering key events of genomic disorders in the development and progression of cancer, the correlation between genomic instability and carcinogenesis is currently under investigation. In this work, we propose an inductive logic programming approach to the problem of modeling evolution patterns for breast cancer. Using this approach, it is possible to extract fingerprints of stages of the disease that can be used in order to develop and deliver the most adequate therapies to patients. Furthermore, such a model can help physicians and biologists in the elucidation of molecular dynamics underlying the aberrations-waterfall model behind carcinogenesis. By showing results obtained some hints about further approach to the hypotheses. on a real-world dataset, we try to give knowledge-driven validations of such     

Robotics and Dynamic Image Analysis for Studies of Gene Expression in Plant Tissues

Gene expression in plant tissues is typically studied by destructive extraction of compounds from plant tissues for in vitro analyses. The methods presented here utilize the green fluorescent protein (gfp) gene for continual monitoring of gene expression in the same pieces of tissues, over time. The gfp gene was placed under regulatory control of different promoters and introduced into lima bean cotyledonary tissues via particle bombardment. Cotyledons were then placed on a robotic image collection system, which consisted of a fluorescence dissecting microscope with a digital camera and a 2-dimensional robotics platform custom-designed to allow secure attachment of culture dishes. Images were collected from cotyledonary tissues every hour for 100 hours to generate expression profiles for each promoter. Each collected series of 100 images was first subjected to manual image alignment using ImageReady to make certain that GFP-expressing foci were consistently retained within selected fields of analysis. Specific regions of the series measuring 300 x 400 pixels, were then selected for further analysis to provide GFP Intensity measurements using ImageJ software. Batch images were separated into the red, green and blue channels and GFP-expressing areas were identified using the threshold feature of ImageJ. After subtracting the background fluorescence (subtraction of gray values of non-expressing pixels from every pixel) in the respective red and green channels, GFP intensity was calculated by multiplying the mean grayscale value per pixel by the total number of GFP-expressing pixels in each channel, and then adding those values for both the red and green channels. GFP Intensity values were collected for all 100 time points to yield expression profiles. Variations in GFP expression profiles resulted from differences in factors such as promoter strength, presence of a silencing suppressor, or nature of the promoter. In addition to quantification of GFP intensity, the image series were also used to generate time-lapse animations using ImageReady. Time-lapse animations revealed that the clear majority of cells displayed a relatively rapid increase in GFP expression, followed by a slow decline. Some cells occasionally displayed a sudden loss of fluorescence, which may be associated with rapid cell death. Apparent transport of GFP across the membrane and cell wall to adjacent cells was also observed. Time lapse animations provided additional information that could not otherwise be obtained using GFP Intensity profiles or single time point image collections.