7 results match your criteria: "Tongji University Shanghai 200072 China.[Affiliation]"

Article Synopsis
  • The study explores the development of natural steroid-based cationic copolymers (cholesterol/diosgenin-PDMAEMAs) for delivering plasmid DNA (pDNA).
  • The research emphasizes how different steroid structures and the ratio of hydrophobic to hydrophilic components influence the efficiency of pDNA delivery.
  • The findings raise concerns about the potential applications and effectiveness of these copolymers in therapeutic contexts, underscoring the importance of material composition in gene delivery systems.
View Article and Find Full Text PDF

Using natural-based lipids to construct biocompatible, controllable and efficient nanocarriers and elucidating their structure-function relationships, was regarded as an important area for creating sustainable biomaterials. Herein, we utilized two natural steroids: cholesterol and diosgenin (bearing different hydrophobic tails) as the building blocks, to synthesize a series of natural steroid-based cationic random copolymers PMA6Chol--PDMAEMA and PMA6Dios--PDMAEMA RAFT polymerization. The results demonstrated that the steroid--PDMAEMA copolymers could efficiently bind pDNA (N/P < 3.

View Article and Find Full Text PDF

DeepReac+: deep active learning for quantitative modeling of organic chemical reactions.

Chem Sci

November 2021

Department of Ophthalmology, Shanghai Tenth People's Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University Shanghai 200072 China

Various computational methods have been developed for quantitative modeling of organic chemical reactions; however, the lack of universality as well as the requirement of large amounts of experimental data limit their broad applications. Here, we present DeepReac+, an efficient and universal computational framework for prediction of chemical reaction outcomes and identification of optimal reaction conditions based on deep active learning. Under this framework, DeepReac is designed as a graph-neural-network-based model, which directly takes 2D molecular structures as inputs and automatically adapts to different prediction tasks.

View Article and Find Full Text PDF

The spatial heterogeneity of immune microenvironment in hepatocellular carcinoma (HCC) remains elusive. Here, a single-cell study involving 17 432 600 immune cells of 39 matched HCC (T), nontumor (N), and leading-edge (L) specimens by mass cytometry is conducted. The tumor-associated CD4/CD8 double-positive T (DPT) cells are found enriched in L regions with synergetic expression of PD-1/HLA-DR/ICOS/CD45RO and exhibit a higher level of IFN-, TNF-, and PD-1 upon stimulation.

View Article and Find Full Text PDF
Article Synopsis
  • Cancer stem cells (CSCs) are key players in tumor growth, spread, and recurrence, making them important targets for cancer treatment.
  • The study reveals that the interaction of miR-135a and SMYD4 triggers the conversion of non-CSCs to CSCs by enhancing Nanog expression and modifying DNA methylation.
  • Targeting the miR-135a/DNMT1 and SMYD4 pathways may offer new strategies for effective CSC-targeted therapies.
View Article and Find Full Text PDF

Crosslinked polymer nanomaterials have attracted great attention due to their stability and highly controllable drug delivery; herein, a series of well-defined amphiphilic PDPA--P(NMS--OEG) diblock terpolymers (P1-P3) were designed and prepared RAFT polymerization and were self-assembled into non-cross-linked (NCL) nanomicelles, which were further prepared into shell-cross-linked (SCL) micelles cystamine-based shell cross-linking. Using P3 as an optimized polymer, SCL-P3 micelles were prepared, which demonstrated remarkable pH/redox-dual responsive behaviour. For drug delivery, camptothecin (CPT)-loaded SCL-P3 micelles were prepared and showed much higher CPT-loading capability than their NCL-P3 counterparts.

View Article and Find Full Text PDF