Pembuatan Niosom Berbasis Maltodekstrin De 5-10 Dari Pati Singkong (Manihot Utilissima)

Niosomes are non ionic surfactant vesicles that have potential application in the delivery of hydrophobic or amphilic drugs. We developed proniosomes, a dry formulation using a maltodextrin as a carrier coated with non ionic surfactant, which can be used to produce niosomes within a minutes by addition of hot water followed by agitation. A novel method is reported here for rapid preparation of proniosomes with wide range of surfactant loading. Maltodextrin DE 5-10 was hidrolyzed from tapioca starch using Thermamyl L 120 da Novo at 85o C. The result from SEM analyses shown that proniosomes appear very similar to the maltodextrin, but the surface was more smooth. Niosome suspensions which was observed under the optical microscopy and particle size analyzer were evaluated as drug carrier using ibuprofen as a model. The result provide an indication of maltodextrin DE 5-10 from tapioca starch are potentialy carrier in the proniosome preparation which can be used for producing niosomes

Additional file 1: Table S1. of A simple gene set-based method accurately predicts the synergy of drug pairs

List of co-enriched gene sets for all drug combinations in the DREAM dataset. (XLSX 35 kb

Additional file 2: Table S2. of A simple gene set-based method accurately predicts the synergy of drug pairs

Prediction of all 1,038,710 drug combinations in the CMap dataset. (XLSX 28927 kb

Additional file 4: Table S2. of Differential correlation analysis of glioblastoma reveals immune ceRNA interactions predictive of patient survival

Top overrepresented ceRNAs in the core ceRNA network. (PDF 67 kb

Additional file 1: Figure S1. of Differential correlation analysis of glioblastoma reveals immune ceRNA interactions predictive of patient survival

Flowchart of CEIDCA. The algorithm is mainly built on three components. (A) Definition of putative ceRNA triplets. We defined putative ceRNA triplets by reprocessing prediction miRNA-target data of TargetScan. (B) Measuring interaction strengths of ceRNA pairs. For each putative ceRNA triplet, GBM samples were sorted and divided into three equally-sized groups based on the expression of miRNA. We employed Pearson correlation coefficients and conversion to the t-domain to measure the interaction strength between two ceRNAs. (C) Statistical inference of miRNA-modulated ceRNA pairs. We tested whether a putative ceRNA pair exhibited intensified correlation in one group compared to another. The statistical significance was assessed against a trillion-time simulation. (PDF 367 kb

Additional file 3: Table S1. of Differential correlation analysis of glioblastoma reveals immune ceRNA interactions predictive of patient survival

List of 1,762 core ceRNA pairs. (PDF 535 kb

Additional file 7: Figure S4. of Differential correlation analysis of glioblastoma reveals immune ceRNA interactions predictive of patient survival

Validation of core ce-triplets using CGGA dataset. We compared the cumulative distribution curves of interaction scores in the CGGA dataset between 1,762 core ce-triplets identified in TCGA and all other putative ce-triplets. Statistical significance was assessed by the Kolmogorov–Smirnov test. (PDF 162 kb

Additional file 1: of iGC—an integrated analysis package of gene expression and copy number alteration

The source codes and example data of the package iGC in R. (GZ 2818 kb