市民社会のプレーヤー交代劇と政治-仁平典宏の<贈与のパラドックス>論を読み解く-

千葉大学大学院人文社会科学研究科研究プロジェクト報告書第257集『都市コミュニティにおける相互扶助と次世代育成』水島治郎 編Sustainable Urban Communities: Communality and Generativity Report on the Research Projects No.25

Alternative Gel Extraction Methods for High Throughput Illumina Sequencing Process

Size selection creates a bottleneck in the high throughput Illumina library construction process. This study tested three alternative gel extraction methods to replace the conventional MinElute spin column, and with the ultimate goal of developing an automated protocol. New England Biolabs gel extraction method of β-Agarase enzyme/ethanol precipitation yielded lower DNA yield in comparison with MinElute spin column. When β-Agarase enzyme was coupled with SPRI magnetic beads, the yield was higher than the MinElute yield. However, Illumina sequencing metrics showed that this method compromised high GC content regions above 70% GC in human DNA. The most successful method evaluated was a novel gel extraction method termed QG-SPRI, which consists of dissolving gel excisions in QG buffer followed by SPRI purification. This method is amenable to automation and has resulted in sample yield and sequencing metrics that are as equal as or better than the MinElute spin column

Assessment of Three Multimedia Tools for Improving Patients' Understanding and Adherence to Orthodontic Treatments

&lt;p&gt;Aim: To assess the understanding and the recall of information using three communication tools: a video, a PowerPoint presentation and a flyer. Methods: We conducted a randomized clinical trial on a sample of 135 patients, divided into three groups (a) (b) and (c). Each group received a different form of information: a written pamphlet, a PowerPoint presentation and a video. The evaluation was conducted using a survey administered in two phases, in the short term (T1) and in the medium term (T2). Results: This study showed that all three tools were equally effective and valid in informing the patient. The results also showed that for some risks the audiovisual tools were better in terms of information including the risk of root resorption, and articular pain with a statistically significant difference. The effectiveness of these tools was different during the two stages T1 and T2 after one month of the first phase of information T1, the results showed no statistically significant difference between the information in the short and medium term. Conclusion: This study allowed us to verify the most effective information tool among the three tools used, which allows to establish a validated and reliable communication system within the care unit of Casablanca's department of orthopedics.&lt;/p&gt

Additional file 4: Figure S2. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

Detailed workflow of an integrative genomic approach in personalized cancer therapy. (PPTX 303 kb

Additional file 12: Figure S9A and B. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

CLPB-NADSYN1 gene fusion in patient P0002. a Long-range PCR confirms CLPB-NADSYN1 gene fusion. b Genomic breakpoint of CLPB-NADSYN1 gene fusion. (ZIP 150 kb

Additional file 11: Figure S8. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

A scatter plot of CCND1 gene expression versus log2 copy number ratio (tumor/normal). Each dot represents a patient tumor sample. Tumor types are color-coded. The two breast cancer patients where we reported CCND1 amplification are P0002 and P0040. (PPTX 112 kb

Additional file 3: Figure S1. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

A decision tree approach to predict drug response based on genetic alterations. (PPTX 96 kb

Additional file 8: Figure S5. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

Correlation of somatic CNA heterozygosity change (median “log2mBAF” segment statistic from saasCNV of tumor with respect to normal) between WES and array data. The same partitions are used as in Additional file 7: Figure S4, and weighed correlation in the lower right corner is also computed in the same way. (PPTX 981 kb