Network-based analysis reveals novel gene signatures in the peripheral blood of patients with sporadic nonsyndromic thoracic aortic aneurysm

Thoracic aortic aneurysm (TAA), a serious cardiovascular disease that causes morbidity and mortality worldwide. At present, few biomarkers can accurately diagnose the appearance of TAA before dissection or rupture. Our research has the intention to investigate the developing applicable biomarkers for TAA promising clinically diagnostic biomarkers or probable regulatory targets for TAA. In our research, we built correlation networks utilizing the expression profile of peripheral blood mononuclear cell obtained from a public microarray data set (GSE9106). Furthermore, we chose the turquoise module, which has the strongest significance with TAA and was further analyzed. Fourteen genes that overlapped with differentially expressed proteins in the medial aortic layer were obtained. Subsequently, we verified the results applying quantitative polymerase chain reaction (Q-PCR) to our clinical specimen. In general, the Q-PCR results coincide with the majority of the expression profile. Fascinatingly, a notable change occurred in CLU, DES, MYH10, and FBLN5. In summary, using weighted gene coexpression analysis, our study indicates that CLU, DES, MYH10, and FBLN5 were identified and validated to be related to TAA and might be candidate biomarkers or therapeutic targets for TAA.     

Development of a novel gene signature in patients without Helicobacter pylori infection gastric cancer

Gastric cancer (GC) is one of the most fatal common cancers in worldwide. Helicobacter pylori (H. pylori) infection is closely related to the development of GC, although the mechanism is still unclear. In our study, we aim to develop a robust messenger RNA (mRNA) signature associated with H. pylori (-) GC that can sensitively and efficiently predict the prognostic. The RNA-seq expression profile and corresponding clinical data of 598 gastric cancer samples and 63 normal samples obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus database. Using gene set enrichment analysis H. pylori (+) GC and H. pylori (-) GC patients and normal samples to select certain genes for further analysis. Using univariate and multivariate Cox regression model to establish a gene signature for predicting the overall survival (OS). Finally, we identified G2/M related seven-mRNA signature (TGFB1, EGF, MKI67, ILF3, INCENP, TNPO2, and CHAF1A) closely related to the prognosis of patients with H. pylori (-) GC. The seven-mRNA signature was identified to act as an independent prognostic biomarker by stratified analysis and multivariate Cox regression analysis. It was also validated on two test groups from TCGA and GSE15460 and shown that patients with high-risk scores based on the expression of the seven mRNAs had significantly shorter survival times compared to patients with low-risk scores (P < .0001). In this study, we developed a seven-mRNA signature related to G2/M checkpoint from H. pylori (-) GCs that as an independent biomarker potentially with a good performance in predicting OS and might be valuable for the clinical management for patients with GC.     

“先驱”转录因子LEC1在早期胚胎重置春化状态的机制

开花是植物由营养生长阶段向生殖生长阶段转变的重要过程, 长时间低温处理即春化对开花起到非常重要的促进作用。春化控制的拟南芥(Arabidopsis thaliana)开花中, 阻抑型转录因子FLC是重要的关节点, 春化记忆依赖于对该基因的控制。何跃辉研究组之前对拟南芥的研究揭示了转录因子VAL1或VAL2可以识别负调控开花的关键基因FLC成核区的顺式DNA元件, 协同PRC2复合体在春化过程中沉默FLC基因的表达, 并在随后的常温下继续维持FLC基因沉默直至受精结束, 使植物产生春化记忆。但在下一代中如何擦除这种记忆功能, 使FLC重新被激活, 以防止植物在过冬前或过冬时开花, 相关机制目前并不清楚。近期, 该研究组揭示了在植物胚胎发育早期一个种子特有的“先驱”转录因子参与擦除春化记忆, 重新激活FLC基因的分子机制, 并解析了胚胎中的基因激活传递到后胚胎发育(营养生长期)的表观遗传机理。该研究是开花领域的重要突破, 为作物开花调控的生产应用提供了新思路。     

Edge biomarkers for classification and prediction of phenotypes

In general, a disease manifests not from malfunction of individual molecules but from failure of the relevant system or network, which can be considered as a set of interactions or edges among molecules. Thus, instead of individual molecules, networks or edges are stable forms to reliably characterize complex diseases. This paper reviews both traditional node biomarkers and edge biomarkers, which have been newly proposed. These biomarkers are classified in terms of their contained information. In particular, we show that edge and network biomarkers provide novel ways of stably and reliably diagnosing the disease state of a sample. First, we categorize the biomarkers based on the information used in the learning and prediction steps. We then briefly introduce conventional node biomarkers, or molecular biomarkers without network information, and their computational approaches. The main focus of this paper is edge and network biomarkers, which exploit network information to improve the accuracy of diagnosis and prognosis. Moreover, by extracting both network and dynamic information from the data, we can develop dynamical network and edge biomarkers. These biomarkers not only diagnose the immediate pre-disease state but also detect the critical molecules or networks by which the biological system progresses from the healthy to the disease state. The identified critical molecules can be used as drug targets, and the critical state indicates the critical point of disease control. The paper also discusses representative biomarker-based methods.     

自然杀伤细胞受体及其配体表达的转录和表观遗传调控

自然杀伤(natural killer cell,NK)细胞受体及其配体在NK细胞发挥抗病毒、抗肿瘤和免疫调节作用中起重要作用.NK细胞功能的发挥取决于NK细胞受体及其配体的表达水平和其所传递信号的综合.病毒、肿瘤和热休克等刺激可以通过激活相应的转录调节因子,提高启动子活性而上调NKG2家族受体及其配体的表达,而启动子区DNA的甲基化状态、组蛋白的乙酰化和甲基化等表观遗传调控,在NK细胞受体及其配体的表达方面亦起重要作用,并决定NK细胞受体的克隆性分布.深入探讨NK细胞受体及其配体的表达调控机制,将为提高NK.细胞抗肿瘤和抗感染疗效提供新的策略.     

Increased UBE2L6 regulated by type 1 interferon as potential marker in TB

The aim of this study is to identify potential biomarker of tuberculosis (TB) and determine its function. Differentially expressed mRNAs(DEGs) were selected from a blood database GSE101805, and then, 30 key genes were screened using STING, Cytoscape and further functionally enriched. We then found that only 6 of 13 genes related to ubiquitination (the first in the functional enrichment) were increased significantly. ROC analysis showed that UBE2L6, among 6 genes, had the highest diagnostic value, and then, we found that it also had mild value in differential diagnosis. Moreover, our analysis showed that UBE2L6 may be upregulated by type I interferon, which was further confirmed by us. In addition, we also found that UBE2L6 inhibits the apoptosis of Mycobacterium tuberculosis(Mtb)infected macrophages. Subsequently, we discovered that miR-146a-5p, which may target UBE2L6, is reduced in peripheral blood mononuclear cells (PBMC) and plasma of TB, and it also had certain diagnostic efficiency(AUC=0.791). In brief, we demonstrated that UBE2L6 as well as miR-146a-5p is a potential biomarker for TB and UBE2L6,which may also plays important role in TB by, at least, modulating Mtb-infected macrophage apoptosis.