scholarly journals Discriminated sgRNAs-Based SurroGate System Greatly Enhances the Screening Efficiency of Plant Base-Edited Cells

2020 ◽  
Vol 13 (1) ◽  
pp. 169-180 ◽  
Author(s):  
Wen Xu ◽  
Yongxing Yang ◽  
Ya Liu ◽  
Guiting Kang ◽  
Feipeng Wang ◽  
...  
2021 ◽  
Vol 1644 ◽  
pp. 462094
Author(s):  
Ernst Freund ◽  
Daniel Meyer ◽  
Nadine Schneider ◽  
Marie-Anne Lozac'h ◽  
Harald Schröder ◽  
...  

2012 ◽  
Vol 226-228 ◽  
pp. 186-190
Author(s):  
Yue Min Zhao ◽  
Ke Wang ◽  
Liang Dong ◽  
Bo Zhang ◽  
Xu Liang Yang ◽  
...  

Based on Hertz-Mindlin contact model in software EDEM by discrete element method, using linear vibrating screen 360 mm×600 mm, movement characteristics of particle group on sieve plate and law of particles going through sieve plate were studied in screening process of coal in certain conditions, which were as follows: dip angle was 0 °, amplitude was 5 mm, frequency was 11 Hz. The simulation test results show that there are important influences of vibration direction on screening process. And influence law of vibration direction on screening effect was revealed finally. The paper also gained mathematical model between particle group’s screening efficiency and vibration direction angle, and mathematical models of particles easy or hard to sieve and material between average movement speeds and vibration direction angle.


2021 ◽  
Vol 4 ◽  
Author(s):  
Hanqiu Deng ◽  
Xingyu Li

Since the first case of coronavirus disease 2019 (COVID-19) was discovered in December 2019, COVID-19 swiftly spread over the world. By the end of March 2021, more than 136 million patients have been infected. Since the second and third waves of the COVID-19 outbreak are in full swing, investigating effective and timely solutions for patients’ check-ups and treatment is important. Although the SARS-CoV-2 virus-specific reverse transcription polymerase chain reaction test is recommended for the diagnosis of COVID-19, the test results are prone to be false negative in the early course of COVID-19 infection. To enhance the screening efficiency and accessibility, chest images captured via X-ray or computed tomography (CT) provide valuable information when evaluating patients with suspected COVID-19 infection. With advanced artificial intelligence (AI) techniques, AI-driven models training with lung scans emerge as quick diagnostic and screening tools for detecting COVID-19 infection in patients. In this article, we provide a comprehensive review of state-of-the-art AI-empowered methods for computational examination of COVID-19 patients with lung scans. In this regard, we searched for papers and preprints on bioRxiv, medRxiv, and arXiv published for the period from January 1, 2020, to March 31, 2021, using the keywords of COVID, lung scans, and AI. After the quality screening, 96 studies are included in this review. The reviewed studies were grouped into three categories based on their target application scenarios: automatic detection of coronavirus disease, infection segmentation, and severity assessment and prognosis prediction. The latest AI solutions to process and analyze chest images for COVID-19 treatment and their advantages and limitations are presented. In addition to reviewing the rapidly developing techniques, we also summarize publicly accessible lung scan image sets. The article ends with discussions of the challenges in current research and potential directions in designing effective computational solutions to fight against the COVID-19 pandemic in the future.


2020 ◽  
Author(s):  
Li'ang Chai ◽  
Changxia Du ◽  
Huaifu Fan ◽  
Chen Liu ◽  
Yuyang Si

Abstract Background: Cucumber (Cucumis sativus) is one of the most important vegetable crops in the world. As conventional breeding of cucumber is very challenging, genetic engineering is an alternative option to introduce important traits such as enhanced stress resistance and nutritional value. However, the efficiency of the transformation system depends on genotypes, transformation conditions, selection agents, etc. This study aims to speed up the process of Agrobacterium-mediated transformation of cucumber. ‘ Xintai mici ’, a very popular and typical north China-type cucumber variety, was transformed with Agrobacterium GV3101. The strain carried pCAMBIA2300s plasmid, a double vector with the marker gene of neomycin phosphotransferase II ( npt II). Results: The research results indicated that cefotaxime sodium was suitable for inhibiting Agrobacterium in the stage of screening and bud elongation. Timentin was best used during rooting stage. Furthermore, 25 mg/L kanamycin was used in the early stage of screening and increased to 50 mg/L for further screening. At the bud elongation and rooting stage, 75 and 100 mg/L kanamycin was used respectively to improve the screening efficiency. In order to obtain the highest regeneration frequency of resistant buds, 50, 150, and 100 μM acetosyringone were added in the pre-culture medium, infection solution, and co-culture medium respectively. To confirm the presence of the transgenes, DNA from npt II transgenic cucumber plants was analyzed by polymerase chain reaction after transplanting resistant regenerated plants. Conclusions: We finally achieved an 8.1% conversion, which was among the highest values reported until date using cucumber ‘ Xintai mici ’. Thus an effective protocol for Agrobacterium tumefaciens -mediated genetic transformation of cucumber was optimized.


Author(s):  
Mónica Echevarria ◽  
Carmen Comas ◽  
M Angeles Rodríguez ◽  
Joan Nicolau ◽  
Bernat Serra ◽  
...  

ABSTRACT Objective To estimate the improvement in screening efficiency when ductus venosus (DV) Doppler studies are added to existing Down syndrome (DS) screening protocols. Methods First-trimester combined screening for trisomy 21 was prospectively carried out, from October 2003 to March 2008, in 8842 consecutive singleton pregnancies attended in our tertiary reference center. The nuchal translucency (NT) and the pulsatility index for veins for DV were calculated. The maternal serum biochemistry was measured using the Kryptor analyzer, at the same time of the scan (one step strategy) or before it (two step strategy). The detection rate (DR) and false-positive rates for standard screening strategy (maternal age, NT and biochemistry) and the same strategy but including DV assessment were calculated. Results Successful DV assessment was possible in the 95.3% of cases, representing a total of 8426 cases. Down syndrome was identified in 34 pregnancies (prevalence of DS 1:250). For a fixed screen positive rate of 5%, the addition of the DV assessment improves the DR from 85 to 94% and, for a fixed DR of 85%, it reduces the number of unnecessary invasive tests from 3.7 to 3.2%. Conclusion Early evaluation of DV can be introduced to standard DS screening strategies in experienced centers as a first level test to reduce invasive test rate derived from the existing protocols.


2021 ◽  
Vol 11 ◽  
Author(s):  
Yang Gao ◽  
Wan-Hung Fan ◽  
Chaohui Duan ◽  
Wenhe Zhao ◽  
Jun Zhang ◽  
...  

PurposeUltrasound (US) and mammogram (MMG) are the two most common breast cancer (BC) screening tools. This study aimed to assess how the combination of circulating tumor cells (CTC) with US and MMG would improve the diagnostic performance.MethodsCTC detection and imaging examinations, US and MMG, were performed in 238 treatment-naive BC patients, 217 patients with benign breast diseases (BBD), and 20 healthy females. Correlations of CTC, US and MMG with patients’ clinicopathological characteristics were evaluated. Diagnostic performances of CTC, US and MMG were estimated by the receiver operating characteristic curves.ResultsCTC, US and MMG could all distinguish BC patients from the control (p < 0.0001). Area under curve (AUC) of CTC, US and MMG are 0.855, 0.861 and 0.759, respectively. While US has the highest sensitivity of 0.79, CTC and MMG have the same specificity of 0.92. Notably, CTC has the highest accuracy of 0.83. Combination with CTC increases the AUC of US and MMG to 0.922 and 0.899, respectively. Combining MMG with CTC or US increases the sensitivity of MMG to 0.87, however “CTC + MMG” has a higher specificity of 0.85. “CTC + US” performs the best in BC diagnosis, followed by “CTC + MMG” and then “US + MMG”.ConclusionCTC can be used as a diagnostic aid for BC screening. Combination with CTC increases the diagnostic potency of conventional BC screening imaging examinations, US and MMG, in BC diagnosis, especially for MMG.


2000 ◽  
Vol 16 (2) ◽  
pp. 142-145 ◽  
Author(s):  
R. J. M. Snijders ◽  
L. D. Platt ◽  
N. Greene ◽  
D. Carlson ◽  
D. Krakow ◽  
...  

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