5 research outputs found
First record for Asemonea tenuipes in Vietnam (Araneae: Salticidae: Asemoneinae)
Tam, Truong Van, Nhan, Vo Hieu, Khang, Luu Vinh (2020): First record for Asemonea tenuipes in Vietnam (Araneae: Salticidae: Asemoneinae). Peckhamia 227 (1): 1-2, DOI: http://doi.org/10.5281/zenodo.509345
First record for Brettus cingulatus in Vietnam (Araneae: Salticidae: Spartaeini)
Tam, Truong Van, Huy, Le Ngo Quoc, Phuc, Nguyen Trong, Nhan, Vo Hieu, Khang, Luu Vinh (2021): First record for Brettus cingulatus in Vietnam (Araneae: Salticidae: Spartaeini). Peckhamia 229 (1): 1-2, DOI: http://doi.org/10.5281/zenodo.716937
Preparation and determination of total anthocyanins extraction from the skin of vigna cylindrica skeels (Dolichos catjang Burm. f)
Because of antioxidative potential, anthocyanins become more and more popular in various fields including food products and pharmaceutical industries. The extraction technique has a great effect on the quality of natural color. Seed coat color is an essential part of customer choices for cowpea (Vigna unguiculata L. Walp). The experimental study was conducted to determine the effect of different extracting parameters such as duration of extraction, different extraction of temperature (20 - 90oC), duration of extraction (30 - 90 min) and solid-liquid ratios (2:1 - 10:1 mL/g) and solvent concentration (H2O : Ethanol) were selected in order to extract anthocyanin from Vigna cylindrica Skeels. The highest anthocyanin content of 205.58 mg/L was collected at 50% enathol, the solid/liquid ratio 6:1 (mL/g), extraction time 60 (min), and temperature 60 (oC). The results showed that different extraction media can significantly affected the anthocyanins content of the valuable source Vigna cylindrica Skeels extracts
Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization
Despite their promise, circulating tumor DNA (ctDNA)-based assays for multi-cancer early detection face challenges in test performance, due mostly to the limited abundance of ctDNA and its inherent variability. To address these challenges, published assays to date demanded a very high-depth sequencing, resulting in an elevated price of test. Herein, we developed a multimodal assay called SPOT-MAS (screening for the presence of tumor by methylation and size) to simultaneously profile methylomics, fragmentomics, copy number, and end motifs in a single workflow using targeted and shallow genome-wide sequencing (~0.55×) of cell-free DNA. We applied SPOT-MAS to 738 non-metastatic patients with breast, colorectal, gastric, lung, and liver cancer, and 1550 healthy controls. We then employed machine learning to extract multiple cancer and tissue-specific signatures for detecting and locating cancer. SPOT-MAS successfully detected the five cancer types with a sensitivity of 72.4% at 97.0% specificity. The sensitivities for detecting early-stage cancers were 73.9% and 62.3% for stages I and II, respectively, increasing to 88.3% for non-metastatic stage IIIA. For tumor-of-origin, our assay achieved an accuracy of 0.7. Our study demonstrates comparable performance to other ctDNA-based assays while requiring significantly lower sequencing depth, making it economically feasible for population-wide screening