依赖于微环境的TGFβ信号

转化生长因子β（transforming growth factor β，TGFβ）家族成员是一类分泌的细胞因子，在胚胎发育、免疫调节、伤口修复、细胞增殖和抑制等过程中发挥重要作用。其中,TGFβ1、TGFβ2和TGFβ3在进化上最晚出现，并以潜伏态分泌。有别于家族中的大多数成员，TGFβ1-3的信号具有时空区域性，并依赖于其所处的微环境。阐明依赖于微环境的TGFβ信号的多层次调控机制对于理解TGFβ信号在免疫、癌症等生理、病理条件下的功能，以及开发临床治疗策略具有重要意义。本文从TGFβ前体复合物的结构入手，并从TGFβ的激活，配体-受体识别，跨膜信号传导及转录调控等方面，论述依赖于微环境的TGFβ信号的调控机制，同时讨论肿瘤微环境中多效的TGFβ信号，进而对今后的研究方向进行展望。     

A three-dimensional model of the U1 small nuclear ribonucleoprotein particle

Most of the pre-mRNAs in the eukaryotic cell are comprised of protein-coding exons and non-protein-coding introns. The introns are removed and the exons are ligated together, or spliced, by a large, macromolecular complex known as the spliceosome. This RNA-protein assembly is made up of five uridine-rich small nuclear RNAs (U1-, U2-, U4-, U5- and U6-snRNA) as well over 300 proteins, which form small nuclear ribonucleoprotein particles (snRNPs). Initial recognition of the 5′ exon/intron splice site is mediated by the U1 snRNP, which is composed of the U1 snRNA as well as at least ten proteins. By combining structural informatics tools with the available biochemical and crystallographic data, we attempted to simulate a complete, three dimensional U1 snRNP from the silk moth, Bombyx mori. Comparison of our model with empirically derived crystal structures and electron micrographs pinpoints both the strengths and weaknesses in the in silico determination of macromolecular complexes. One of the most striking differences between our model and experimentally generated structures is in the positioning of the U1 snRNA stem-loops. This highlights the continuing difficulties in generating reliable, complex RNA structures; however, three-dimensional modeling of individual protein subunits by threading provided models of biological significance and the use of both automated and manual docking strategies generated a complex that closely reflects the assembly found in nature. Yet, without utilizing experimentally-derived contacts to select the most likely docking scenario, ab initio docking would fall short of providing a reliable model. Our work shows that the combination of experimental data with structural informatics tools can result in generation of near-native macromolecular complexes.     

Bayesian Quantile Regression for Longitudinal Studies with Nonignorable Missing Data

Summary .  We study quantile regression (QR) for longitudinal measurements with nonignorable intermittent missing data and dropout. Compared to conventional mean regression, quantile regression can characterize the entire conditional distribution of the outcome variable, and is more robust to outliers and misspecification of the error distribution. We account for the within-subject correlation by introducing a   ℓ₂   penalty in the usual QR check function to shrink the subject-specific intercepts and slopes toward the common population values. The informative missing data are assumed to be related to the longitudinal outcome process through the shared latent random effects. We assess the performance of the proposed method using simulation studies, and illustrate it with data from a pediatric AIDS clinical trial.     

肝素钠的生产及其存在的问题及解决的方法（Ⅱ）

本文就粗品肝素钠生产的原料控制硬件设施管理和环保等方面进行了论述，介绍了一些改进的方法和措施，并就该方面的的一些问题进行了探讨，提出了解决的方法。