ABSTRACT
Gliomas are the most severe brain tumours with a poor prognosis. Although surgery, postoperative radiotherapy and chemotherapy can improve the survival rate of glioma patients, the prognosis of most glioma patients is still poor. In recent years, the influence of gene-targeted therapy on gliomas has been gradually discovered, and intervening the occurrence and development of brain gliomas from the perspective of the gene will significantly improve treatment prognosis. Protein Kinase C and Casein Kinase Substrate in Neurons 1 (PACSIN1) is a member of the conserved peripheral membrane protein family in eukaryotes. Improper expression of PACSIN1 can lead to neurological diseases such as Huntington's disease and schizophrenia. However, its relationship with tumours or even gliomas has not been explored. The study aims to explore PACSIN1 as a prognostic factor that can predict overall survival (OS) for gliomas. We collected the data from CGGA, TCGA, GEO databases and the pathological glioma tissue specimens from 15 clinical glioma patients surgically resected. The differential expression of PACSIN1 in various clinical indicators, the genes related to PACSIN1 expression, the prognostic value of PACSIN1 and the functional annotations and pathway analysis of differently expressed genes (DEGs) were analysed. The results revealed that PACSIN1 had low expression levels in grade IV, IDH1 wild-type and 1p/19q non-codel group gliomas, and PACSIN1 was considered a mesenchymal molecular subtype marker. PACSIN1 expression is positively correlated with OS in all gliomas and it was found that PACSIN1 influenced the occurrence and development of gliomas through synaptic transmission. The PACSIN1 expression is negatively correlated with the malignant degree of gliomas and positively associated with the OS, indicating that PACSIN1 would play an essential role in the occurrence and development of gliomas and might be a potential new biomarker and targeted therapy site for gliomas.
ABSTRACT
Ziziphora bungeana is a kind of medicinal plants belongs to Labiatae,and it also a kind of geoherbs in Xinjiang. The main active ingredient linarin has a higher content in inflorescence than in other parts. In this study,high-throughput sequencing technology was used to reveal the transcriptome of the inflorescence of Z. bungeana,77 366 unigenes were acquired,of which 56 375 unigenes were annotated based on search of the database and classification. Through the analysis of metabolic pathways,sixty unigenes were probably encoding some enzymes involved in the flavonoid biosynthesis pathways. The contents of linarin in different parts were determined and the key genes were verified by qRT-PCR. The discovery provides the research basis for further analysis of the enzyme genes involved in the biosynthesis of the major flavonoid components in Z. bungeana.
Subject(s)
Flavonoids , Gene Expression Profiling , High-Throughput Nucleotide Sequencing , Lamiaceae , Chemistry , TranscriptomeABSTRACT
Objective To propose an idea executing myocardial perfusion-positron emission tomography (MP-PET) to solve its problems in vulnerability to noise,degraded image quality etc.Methods Low-rank plus sparse decomposition theory was applied to decomposing MP-PET images,and sparsity constraint of MP-PET images was executed with its tight frame coefficient to restore the image quality.Results The validity of the proposed method was verified by computer simulation and multi quantitative index.Conclusion The results demonstrate better performance of the restored images from the proposed recovery model compared with other methods.
ABSTRACT
<p><b>OBJECTIVE</b>To propose a new method for dynamic positron emission tomographic (PET) image reconstruction using low rank and sparse penalty (L&S).</p><p><b>METHODS</b>The L&S reconstruction model was established and the split Bregman method was used to solve the optimal cost function. The one-tissue compartment model was used to simulate a set of PET 82Rb myocardial perfusion image. The L&S reconstruction method was compared with maximum likelihood expectation maximization (MLEM) method, low-rank penalty method and sparse penalty method.</p><p><b>RESULTS</b>The L&S reconstruction method had the smallest MSE and well maintained the feature information. The polar map created by L&S method was the most similar with the reference actual polar map.</p><p><b>CONCLUSION</b>L&S reconstruction method is better than the other three methods in both visual and quantitative analysis of the PET images.</p>
Subject(s)
Humans , Algorithms , Likelihood Functions , Positron-Emission Tomography , MethodsABSTRACT
Objective: To clone and identify the squalene synthase genes in Salvia miltiorrhiza. Methods: The primers were designed based on the predication result of S. miltiorrhiza genome genes and two squalene synthase genes (SmSQS1 and SmSQS2) from S. miltiorrhiza were amplified via RT-PCR method. Some bioinformatic methods and softwares were used for the gene structure analysis, the analyses of sequence homology and protein conserved domains of the two gene encoding polypeptides were carried. Real-time quantitative PCR (RT-qPCR) method was used for the analysis of gene expression patterns. Results: The two squalene synthase genes of S. miltiorrhiza were obtained by RT-PCR method. The encoded polypeptide of the two genes has the related domains and a conserved motif for squalene synthases. The two genes had the different exon/intron characteristics and the different tissue-specific and time-specific expression patterns. Conclusion: There are two squalene synthase genes existing in the genome of S. miltiorrhiza, which have the different gene structures and expression patterns, and probably play the different roles in the biosynthesis process of steroids and triterpenoids in S. miltiorrhiza.
