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Additional file 2: Table S1A. Clinical characteristics of patients and healthy controls in the discovery cohort. Table S1B. Clinical characteristics of patients and healthy controls in the validation cohort. Table S2. Gene panel for targeted sequencing. Table S3. Frequencies of mutations of difference sources in 55 HCC patients.

Additional file 1: Fig. S1. Study design chart. The discovery cohort consists of 55 patients with stage I, II and IIIA HCC and 55 healthy volunteers. Ultra-deep sequencing using a panel of the 13 genes found most often mutated among PwHCC were performed on WBC gDNA, FFPE-tumor tissue gDNA and plasma cell-free DNA to identify TDMs and the challenges in classifying the two groups of patients. Mutation fragment length profiles were used as input features to build a machine learning model. The model's performance was subsequently validated in an independent cohort of 55 HCC patients and 53 healthy individuals recruited from a different site. Figure S2. Comparison of on target rate and depth coverage between cfDNA and paired WBC gDNA sequencing. (A) and (B) On target rate (A) and mean depth coverage (B) of paired liquid biopsy cfDNA and WBC gDNA samples from 55 HCC patients in the discovery cohort. (C) Bar graph showing the amount of cfDNA (ng per ml) of plasma from HCC and healthy control samples. ns: not significant, Mann–Whitney U test. Fig. S3. Tumor-derived mutations in plasma samples of PwHCC overlapped with mutations detected in plasma of healthy participants. (A) Oncoprint plots of distributions of TDMs in 55 healthy individuals. Each row represents a TDM with mutation labeled on the right side and left side shows the occurrences of each mutation. Each column represents a patient. (B) Percentages of mutations shared between liquid biopsies and paired WBCs (LB-share-WBC, blue) and mutations uniquely found in liquid biopsy (LB-unique-variants, orange) for each patient after implementing our statistical model. Fig. S4. PwHCC patients displayed cfDNA fragment length profiles distinct from healthy individuals. (A) Length distribution of cfDNA fragments in plasma samples of 55 PwHCC and 55 healthy individuals. (B) The mean ratio of short (≤ 150 bp) to long (> 150bp) fragments across 22 chromosomes at 5Mb resolution for 55 PwHCC and 55 healthy individuals. Fig. S5. Distribution of fragment length of sequencing reads carrying LB-unique mutations (ALT) in all 55 PwHCC (A) and 55 healthy individuals (B), as compared to their corresponding reference reads (REF) in the discovery cohort. Fig. S6. Graphic explanation of three features generated from analyzing fragment length distribution of LB-unique mutations. (A) Feature 1: The fraction of short-to-long reads that carry LB-unique mutations compared to their corresponding reference reads (RF) in PwHCC (left) and healthy controls (right). (B) Feature 2: Analysis of fragment length distribution of all LB-unique fragments enriched in specific regions (e.g., 110-135 bp). PHRED-scaled p-value obtained from Fisher's exact test used to compare the distribution of ALT-fragments in selected regions. (C) Feature 3: The probability of observing an ALT-fragment of size s (dot points) in all ALT fragments by proportions was calculated (λ) and the sum of λ(s) over a sliding and non-overlapping window of 10 consecutive values of s was computed to yield a 15-dimensional feature vector.

This volume presents the proceedings of the Fourth International Conference on the Development of Biomedical Engineering in Vietnam which was held in Ho Chi Minh City as a Mega-conference. It is kicked off by the Regenerative Medicine Conference with the theme BUILDING A FACE USING A REGENERATIVE MEDICINE APPROACH, endorsed mainly by the Tissue Engineering and Regenerative Medicine International Society (TERMIS). It is followed by the Computational Medicine Conference, endorsed mainly by the Computational Surgery International Network (COSINE) and the Computational Molecular Medicine of German National Funding Agency; and the General Biomedical Engineering Conference, endorsed mainly by the International Federation for Medical and Biological Engineering (IFMBE). It featured the contributions of 435 scientists from 30 countries, including: Australia, Austria, Belgium, Canada, China, Finland, France, Germany, Hungary, India, Iran, Italy, Japan, Jordan, Korea, Malaysia, Netherlands, Pakistan, Poland, Russian Federation, Singapore, Spain, Switzerland, Taiwan, Turkey, Ukraine, United Kingdom, United States, Uruguay and Viet Nam.

International Journal of Renewable Energy, Vol. 6, No.2

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

From the chymotryptic hydrolysate of 1.08 g of the precipitate obtained on treatment of alkaline protease from Aspergillus flavus with trichloracetic acid 134 peptides were isolated by means of ion exchange chromatography, paper electrophoresis and paper chromatography. Among these 38 peptides containing 311 amino acids were isolated in amounts exceeding 0.50μmol. The peptides were characterized by amino acid analysis, electric charge and also mostly by the terminal groups determination. In the case of peptides isolated in larger amounts the complete or at least the partial sequence of amino acids has been determined. In all peptides the total isolated amount in μmol was determined. The peptides containing basic amino acids were subfractionated with trypsin.

A partly autolyzed preparation of the alkaline protease from As. flavus, denatured by trichloroacetic acid, was resolved into the high and low molecular weight part; the amino acid composition of both parts was similar to that of the native protease. The high molecular weight part was subjected to tryptic digestion; the digest was fractionated by chromatography on a sulfonated ion exchange resin and by paper electrophoresis and paper chromatography techniques. The peptides isolated were characterized by amino acid analysis and terminal end group analysis. Peptides obtained in larger quantities were sequenced. The data on peptides obtained in this study are compared with the results of earlier work on nonradioactive peptides from a partial hydrolysate of the [32P]DIP-labeled enzyme.

1. 1. From the soluble portion of the tryptic digest of oxidized diisopropyl [32P]-phosphoryl-derivative of alkaline proteinase of Aspergillus flavus a radioactive fragment was isolated and its amino acid composition determined to be Asp7, Met1, Thr5, Ser8, Glu4, Pro3, Gly7, Ala9, Val6, Ile5, Leu6, Tyr2 and Phe2. 2. 2. Four radioactive peptides were isolated from a partial acid hydrolysate of the slightly soluble portion of the tryptic digest. These peptides provides evidence of the amino acid sequence Gly-Thr-Ser-Met-Ala around the reactive serine residue of alkaline proteinase. This amino acid sequence represents a part of the large tryptic fragment. 3. 3. Similarities in the amino acid sequences of serine-containing active centers of microbial proteinases are discussed.