Regulation of coronafacoyl phytotoxin production in the potato common scab pathogen Streptomyces scabies

The genus Streptomyces consists of hundreds of species of Gram-positive, filamentous bacteria, which have a complex developmental life cycle. Many specialized metabolites of clinical, agricultural and biotechnological value are produced by Streptomyces. Very few Streptomyces species have been shown to be pathogenic to plants. The best characterized pathogenic species is Streptomyces scabies, which is the main causative agent of potato common scab (CS) disease. CS is characterized by the formation of lesions on the potato tuber surface, which negatively impact the market value of the affected potatoes, leading to significant losses for growers. S. scabies and other CS-causing pathogens produce thaxtomin A, the key virulence factor involved in CS disease. S. scabies also produces N-coronafacoyl-L-isoleucine (CFAL- Ile), which is a member of the coronafacoyl family of phytotoxins. The coronafacoyl phytotoxin biosynthetic gene cluster in S. scabies consists of 15 genes, of which 13 are enzyme-encoding genes and are co-transcribed. The remaining two genes are divergently co-transcribed from the biosynthetic genes. The first gene, scab79591/cfaR, encodes a PAS-LuxR family regulator that activates the transcription of the enzyme-coding genes. The second gene, scab79581/orf1, encodes a ThiF family protein of unknown function. This thesis examines the regulation of CFA-L-Ile biosynthesis in S. scabies and the role of the CfaR and ORF1 proteins. Our results show that CfaR is the principle regulator controlling expression of the coronafacoyl phytotoxin biosynthetic genes and CFA-L-Ile production, while ORF1 augments phytotoxin production in a CfaR dependent manner and may function as a “helper” of CfaR. Bioinformatics analysis suggests that ORF1 may catalyze AMPylation of an unknown target molecule. In addition, this thesis addresses the effects of the plant-derived molecules cellobiose and suberin on CFA-L-Ile production as well as the role of CFA-L-Ile in controlling its own production. While cellobiose and suberin both induce thaxtomin A production, our results suggest that these molecules inhibit CFA-L-Ile production in S. scabies. In vitro binding assays showed that CFA-L-Ile inhibits the binding of CfaR to its target site in the coronafacoyl phytotoxin biosynthetic gene cluster. This suggests that CFA-L-Ile production is subjected to negative feedback regulation in S. scabies

Differential Power Analysis on ZUC Algorithm

Stream cipher ZUC plays a crucial role in the next generation of mobile communication as it has already been included by the 3GPP LTE-Advanced, which is a candidate standard for the 4G network. Through a long-time evaluation program, ZUC algorithm is thought to be robust enough to resist many existing cryptanalyses, but not for DPA, one of the most powerful threat of SCAs(Side Channel Analysis).Up to the present, almost all the work on DPA is for block ciphers, such as DES and AES, a very few work has been done on stream ciphers, such as ZUC algorithm, for particular reasons that would be illustrated in the later section. In this paper, we generally study the security of unprotected ZUC hardware implementation against DPA. Our theoretical analysis and experimental results show that ZUC algorithm is potentially vulnerable to this kind of attack. Furthermore, kinds of common countermeasures are discussed when we try to apply them to ZUC hardware implementations, both the security and tradeoffs are considered. The experiments are given in the last section to verify our conclusions, which would undoubtedly provide some guidance to the corresponding designers

Current Progress in CAR-T Cell Therapy for Solid Tumors

Cancer immunotherapy by chimeric antigen receptor-modified T (CAR-T) cells has shown exhilarative clinical efficacy for hematological malignancies. Recently two CAR-T cell based therapeutics, Kymriah (Tisagenlecleucel) and Yescarta (Axicabtagene ciloleucel) approved by US FDA (US Food and Drug Administration) are now used for treatment of B cell acute lymphoblastic leukemia (B-ALL) and diffuse large B-cell lymphoma (DLBCL) respectively in the US. Despite the progresses made in treating hematological malignancies, challenges still remain for use of CAR-T cell therapy to treat solid tumors. In this landscape, most studies have primarily focused on improving CAR-T cells and overcoming the unfavorable effects of tumor microenvironment on solid tumors. To further understand the current status and trend for developing CAR-T cell based therapies for various solid tumors, this review emphasizes on CAR-T techniques, current obstacles, and strategies for application, as well as necessary companion diagnostics for treatment of solid tumors with CAR-T cells

Key technologies for on-orbit azimuth antenna pattern measurement of TH-2 dual satellites

On-orbit (inflight) measurement of the antenna pattern of space-borne synthetic aperture radar (SAR) is an indispensable and important procedure for SAR calibration, performance tuning and index test. Usually, in practical on-orbit (inflight) measurement of the SAR antenna pattern, it is separated into the vertical (elevation) and the horizontal (azimuth) directions respectively. The TH-2 satellite set is made up of two satellites to enable bistatic interferometry SAR (InSAR) observation. At the beginning of the on-orbit tests, the two satellites adopted a "following" flying formation in which one satellite flew about 40 km away after the other one. In this phase, the two satellites worked independently in SAR observation model to facilitate calibration, tuning and test of the satellites individually. When conducting the azimuth antenna pattern measurement, the collected signals from the two satellites in the ground receiver were overlapped (interleaved) and superposed, leading to the difficulty of measurement with the method designed for only one satellite. Aiming at solving this problem, an efficient and fully automated signal separation method for azimuth antenna pattern measurement is proposed. Based on the modeling and analysis of the sampled signal in the ground receiver, a novel signal separation method based on three main parts: key pulse rising edge extraction, pulse position estimation and pulse amplitude estimation is proposed to realize the separation of the signals from different satellites. After signal separation, the subsequent antenna pattern measurement tasks can be done using the traditional single-satellite method. Experimental results sufficiently show the effectiveness of the proposed method. This method escorted the on-orbit tests of the satellites smoothly, and the test efficiency can be doubled compared with the individual test of each single satellite. The proposed method can be used in the on-orbit tests of similar satellites in the future

Extraction of power lines and pylons from LiDAR point clouds using a GCN-based method

The routine power line inspection is critical to maintain the reliability, availability, and sustainability of electricity supply. As a key part of inspection, power lines and pylons extraction is essential for resource management and power corridor safety, especially in the mountain regions. In this paper, we proposed a deep learning based method to extract power lines and pylons using ALS point clouds. First, a structure information preserved module is designed to mine the relationship of local neighborhood points. Then, a graph convolutional network (GCN) is used as basic module to extract point features. Finally, three categories, power lines, pylons and other objects are segmented from input point clouds. In addition, we provide an effective data enhancement strategy to generate enough samples to train the proposed model. We evaluated our method using a dataset acquired by our ALS scanning system. Experimental results demonstrate that our method is superior to the state-of-the-art methods on descriptiveness and efficiency. The overall accuracy and mean time are 99.1% and 9.3 seconds, respectively

Detecting and phenotyping of aneuploid circulating tumor cells in patients with various malignancies

Circulating tumor cells (CTCs) have been exclusively studied and served to assess the clinical outcomes of treatments and progression of cancer. Most CTC data have mainly been derived from distinct cohorts or selected tumor types. In the present study, a total of 594 blood samples from 479 cases with 19 different carcinomas and 30 healthy samples were collected and analyzed by Subtraction enrichment method combined with immunostaining-fluorescence in situ hybridization (iFISH). Non-hematopoietic cells with aneuploid chromosome 8 (more than 2 copies) were regarded as positive CTCs. The results showed that none of CTCs was found in all 30 healthy samples. The overall positive rate of CTCs was 89.0% in diagnosed cancer patients (ranging from 75.0% to 100.0%). Average number of 11, 5, 8 and 4 CTCs per 7.5 mL was observed in lung cancer, liver cancer, renal cancer and colorectal cancer, respectively. Among 19 different carcinomas, the total number of CTCs, tetraploid chromosome 8, polyploid chromosome 8, CTM (Circulating tumor microemboli) and large CTCs in patients with stage Ⅲ and Ⅳ were statistically higher than patients with stage Ⅰ and Ⅱ (P < 0.05). Furthermore, EpCAM expression was more frequently found in most CTCs than vimentin expression, confirming that these CTCs were of epithelial origin. In addition, small and large CTCs were also classified, and the expression of vimentin was mostly observed in small CTCs and CTM. Our results revealed that there are higher numbers of CTCs, tetraploid, polyploid and large CTCs in patients with stage Ⅲ and Ⅳ, indicating that the quantification of chromosome ploidy performed by SE-iFISH for CTCs might be a useful tool to predict and evaluate therapeutic efficacy as well as to monitoring disease progression

Taking the pulse of COVID-19: A spatiotemporal perspective

The sudden outbreak of the Coronavirus disease (COVID-19) swept across the world in early 2020, triggering the lockdowns of several billion people across many countries, including China, Spain, India, the U.K., Italy, France, Germany, and most states of the U.S. The transmission of the virus accelerated rapidly with the most confirmed cases in the U.S., and New York City became an epicenter of the pandemic by the end of March. In response to this national and global emergency, the NSF Spatiotemporal Innovation Center brought together a taskforce of international researchers and assembled implemented strategies to rapidly respond to this crisis, for supporting research, saving lives, and protecting the health of global citizens. This perspective paper presents our collective view on the global health emergency and our effort in collecting, analyzing, and sharing relevant data on global policy and government responses, geospatial indicators of the outbreak and evolving forecasts; in developing research capabilities and mitigation measures with global scientists, promoting collaborative research on outbreak dynamics, and reflecting on the dynamic responses from human societies.Comment: 27 pages, 18 figures. International Journal of Digital Earth (2020

Intermediate-band Surface Photometry of the Edge-on Galaxy: NGC 4565

We present a deep, 42.79 hr image of the nearby, edge-on galaxy NGC 4565 in the Beijing-Arizona-Taipei-Connecticut (BATC) 6660A band using the large-format CCD system on the 0.6m Schmidt telescope at the Xinglong Station of the National Astronomical Observatories of China (NAOC). we obtain a final image that is calibrated to an accuracy of 0.02 mag in zero point, and for which we can measure galaxy surface brightness to an accuracy of 0.25 mag at a surface brightness at 27.5 mag arcsec^-2 at 6660A, corresponding to a distance of 22 kpc from the center of the disk. The integrated magnitude of NGC4565 in our filter is m6660=8.99 (R magnitude of 9.1) to a surface brightness of 28 mag arcsec-2. We analyze the faint outer parts of this galaxy using a two-dimensional model comprised of three components: an exponential thin disk, an exponential thick disk, and a power-law halo. A total of 12 parameters are included in our model. We determine the best values of our model parameters via 10,000 random initial values, 3,700 of which converge to final values. The thin disk and thick disk parameters we determine here are consistent with those of previous studies of this galaxy. However, our very deep image permits a better determination of the power law fit to the halo, constraining this power law to be between r^-3.2 and r^-4.0, with a best fit value of r^-3.88. We find the axis ratio of the halo to be 0.44 and its core radius to be 14.4 kpc (for an adopted distance of 14.5 Mpc).Comment: 34 pages, 11 figures, will appear in March 2002 of A