NARROW SHEATH1 functions from two meristematic foci during founder-cell recruitment in maize leaf development

The narrow sheath duplicate genes (ns1 and ns2) perform redundant functions during maize leaf development. Plants homozygous for mutations in both ns genes fail to develop wild-type leaf tissue in a lateral domain that includes the leaf margin. Previous studies indicated that the NS gene product(s) functions during recruitment of leaf founder-cells in a lateral, meristematic domain that contributes to leaf margin development. A mosaic analysis was performed in which the ns1-O mutation was exposed in hemizygous, clonal sectors in a genetic background already homozygous for ns2-O. Analyses of mutant, sectored plants demonstrate that NS1 function is required in L2-derived tissue layers for development of the narrow sheath leaf domain. NS1 function is not required for development of the central region of maize leaves. Furthermore, the presence of the non-mutant ns1 gene outside the narrow sheath domain cannot compensate for the absence of the non-mutant gene within the narrow sheath domain. NS1 acts non-cell autonomously within the narrow sheath-margin domain and directs recruitment of marginal, leaf founder cells from two discrete foci in the maize meristem. Loss of NS1 function during later stages of leaf development results in no phenotypic consequences. These data support our model for NS function during founder-cell recruitment in the maize meristem.     

The narrow sheath duplicate genes: sectors of dual aneuploidy reveal ancestrally conserved gene functions during maize leaf development

The narrow sheath mutant of maize displays a leaf and plant stature phenotype controlled by the duplicate factor mutations narrow sheath1 and narrow sheath2. Mutant leaves fail to develop a lateral domain that includes the leaf margins. Genetic data are presented to show that the narrow sheath mutations map to duplicated chromosomal regions, reflecting an ancestral duplication of the maize genome. Genetic and cytogenetic evidence indicates that the original mutation at narrow sheath2 is associated with a chromosomal inversion on the long arm of chromosome 4. Meristematic sectors of dual aneuploidy were generated, producing plants genetically mosaic for NARROW SHEATH function. These mosaic plants exhibited characteristic half-plant phenotypes, in which leaves from one side of the plant were of nonmutant morphology and leaves from the opposite side were of narrow sheath mutant phenotype. The data suggest that the narrow sheath duplicate genes may perform ancestrally conserved, redundant functions in the development of a lateral domain in the maize leaf.     

CORKSCREW1 defines a novel mechanism of domain specification in the maize shoot

In higher plants, determinate leaf primordia arise in regular patterns on the flanks of the indeterminate shoot apical meristem (SAM). The acquisition of leaf form is then a gradual process, involving the specification and growth of distinct domains within the three leaf axes. The recessive corkscrew1 (cks1) mutation of maize (Zea mays) disrupts both leaf initiation patterns in the SAM and domain specification within the mediolateral and proximodistal leaf axes. Specifically, cks1 mutant leaves exhibit multiple midribs and leaf sheath tissue differentiates in the blade domain. Such perturbations are a common feature of maize mutants that ectopically accumulate KNOTTED1-like homeobox (KNOX) proteins in leaf tissue. Consistent with this observation, at least two knox genes are ectopically expressed in cks1 mutant leaves. However, ectopic KNOX proteins cannot be detected. We therefore propose that CKS1 primarily functions within the SAM to establish boundaries between meristematic and leaf zones. Loss of gene function disrupts boundary formation, impacts phyllotactic patterns, and leads to aspects of indeterminate growth within leaf primordia. Because these perturbations arise independently of ectopic KNOX activity, the cks1 mutation defines a novel component of the developmental machinery that facilitates leaf-versus-shoot development in maize.     

A Nonparametric Likelihood Ratio Test to Identify Differentially Expressed Genes from Microarray Data

Microarray experiments contribute significantly to the progress in disease treatment by enabling a precise and early diagnosis. One of the major objectives of microarray experiments is to identify differentially expressed genes under various conditions. The statistical methods currently used to analyse microarray data are inadequate, mainly due to the lack of understanding of the distribution of microarray data. We present a nonparametric likelihood ratio (NPLR) test to identify differentially expressed genes using microarray data. The NPLR test is highly robust against extreme values and does not assume the distribution of the parent population. Simulation studies show that the NPLR test is more powerful than some of the commonly used methods, such as the two-sample t-test, the Mann-Whitney U-test and significance analysis of microarrays (SAM). When applied to microarray data, we found that the NPLR test identifies more differentially expressed genes than its competitors. The asymptotic distribution of the NPLR test statistic and the p-value function is presented. The application of the NPLR method is shown, using both synthetic and real-life data. The biological significance of some of the genes detected only by the NPLR method is discussed.     

利用基因芯片技术筛选秦川牛公牛与阉牛肌肉组织差异表达基因

为了筛选秦川牛公牛和阉牛肌肉组织差异表达的基因,探讨二者肉质差异的分子生物学机理,文章利用Affymetrix公司生产的牛基因组芯片技术,分别检测了3头36月龄秦川牛公牛与阉牛背最长肌肌肉组织的mRNA表达水平变化;运用Significance Analysis of Microarrays(SAM)法对秦川牛公牛和阉牛基因表达谱进行了差异分析;并通过分子注释系统平台(MAS2.0)对差异表达基因进行了功能富集类分析和调控通路分析;最后应用实时定量PCR技术对部分差异表达基因进行了验证。基因表达谱分析结果显示,在36月龄秦川牛的肌肉组织中,共检测到约11000个探针,代表大约10000个基因。共筛选出差异表达基因143条,主要涉及胶原纤维的组织和合成、细胞粘附、细胞生长调控、泛素介导的蛋白分解代谢和横纹肌收缩等生物学过程;在分子注释系统数据库中注释到的显著调控通路为细胞外基质受体反应、细胞通讯、焦点粘连和紧密连接等;所验证的差异表达基因的荧光定量PCR结果与芯片结果基本一致。结合已有的文献报道,文章初步认为ECM受体反应、细胞通讯、焦点粘连、紧密接头等调控通路及COL3A1、COL1A1、COL1A2、SPP1、FBN1、MMP2、ECM1、MYH3、MYH8、S100A4、ASPN、CFD等基因可能是参与调控秦川牛阉割前后肉质性状差异的重要调控通路和基因。此外,还筛选出一些尚未在GenBank上登陆的序列,推测可能是未知的新基因,它们在牛肉质代谢过程中的作用还需进一步的研究证明。     

结直肠癌组织异常表达miRNA的鉴定

目的：筛选结直肠癌组织异常表达的miRNAs。方法：采用Agilem基因芯片（V12．0）分析结直肠癌组织及其配对正常粘膜组织间差异表达的miRNAs,MiRNAs错误发生率（FDR）〈0．05和微矩阵显著性分析（SAM）q值〈0．05为差异显著。结果：鉴定出结直肠癌中32个差异表达的miRNAs,显著上调和下调各16个。实时定量PCR（RT—qPCR）证实基因芯片中4个表达上调的miRNAs在结直肠癌组织中也显著上调。结论：MiRNA基因芯片鉴定出了结直肠癌组织一系列新的差异表达的miRNAs。     

Differences in gene expression between B-cell chronic lymphocytic leukemia and normal B cells: a meta-analysis of three microarray studies

MOTIVATION: A major focus of current cancer research is to identify genes that can be used as markers for prognosis and diagnosis, and as targets for therapy. Microarray technology has been applied extensively for this purpose, even though it has been reported that the agreement between microarray platforms is poor. A critical question is: how can we best combine the measurements of matched genes across microarray platforms to develop diagnostic and prognostic tools related to the underlying biology? RESULTS: We introduce a statistical approach within a Bayesian framework to combine the microarray data on matched genes from three investigations of gene expression profiling of B-cell chronic lymphocytic leukemia (CLL) and normal B cells (NBC) using three different microarray platforms, oligonucleotide arrays, cDNA arrays printed on glass slides and cDNA arrays printed on nylon membranes. Using this approach, we identified a number of genes that were consistently differentially expressed between CLL and NBC samples.     

Expression profile analysis of wild-type and fcc1 mutant strains of Fusarium verticillioides during fumonisin biosynthesis

Fusarium verticillioides produces a group of mycotoxins known as fumonisins that are associated with a variety of mycotoxicoses in humans and animals. In this study, DNA microarrays were constructed with expressed sequence tags (ESTs) from F. verticillioides. To identify genes with patterns of expression similar to the fumonisin biosynthetic (FUM) genes, the microarray was probed with labeled cDNAs originating from a wild-type strain and a fcc1 mutant grown on maize and in a defined medium adjusted to either pH 3 or pH 8. The comparative analyses revealed differential expression of genes corresponding to 116 ESTs when the fungal strains were grown on maize. Under different pH conditions, 166 ESTs were differentially expressed, and 19 ESTs were identified that displayed expression patterns similar to the FUM ESTs. These results provide candidate genes with potential roles in fumonisin biosynthesis.     

Genes Selection Comparative Study in Microarray Data Analysis

In response to the rapid development of DNA Microarray Technologies, many differentially expressed genes selection algorithms have been developed, and different comparison studies of these algorithms have been done. However, it is not clear how these methods compare with each other, especially when we used different developments tools. Here, we considered three commonly used differentially expressed genes selection approaches, namely: Fold Change, T-test and SAM, using Bioinformatics Matlab Toolbox and R/BioConductor. We used two datasets, issued from the affymetrix technology, to present results of used methods and software''s in gene selection process. The results, in terms of sensitivity and specificity, indicate that the behavior of SAM is better compared to Fold Change and T-test using R/BioConductor. While, no practical differences were observed between the three gene selection methods when using Bioinformatics Matlab Toolbox. In face of our result, the ROC curve shows that: on the one hand R/BioConductor using SAM is favored for microarray selection compared to the other methods. And, on the other hand, results of the three studied gene selection methods using Bioinformatics Matlab Toolbox are still comparable for the two datasets used.     

Comparison of methods for identifying differentially expressed genes across multiple conditions from microarray data

Identification of genes differentially expressed across multiple conditions has become an important statistical problem in analyzing large-scale microarray data. Many statistical methods have been developed to address the challenging problem. Therefore, an extensive comparison among these statistical methods is extremely important for experimental scientists to choose a valid method for their data analysis. In this study, we conducted simulation studies to compare six statistical methods: the Bonferroni (B-) procedure, the Benjamini and Hochberg (BH-) procedure, the Local false discovery rate (Localfdr) method, the Optimal Discovery Procedure (ODP), the Ranking Analysis of F-statistics (RAF), and the Significant Analysis of Microarray data (SAM) in identifying differentially expressed genes. We demonstrated that the strength of treatment effect, the sample size, proportion of differentially expressed genes and variance of gene expression will significantly affect the performance of different methods. The simulated results show that ODP exhibits an extremely high power in indentifying differentially expressed genes, but significantly underestimates the False Discovery Rate (FDR) in all different data scenarios. The SAM has poor performance when the sample size is small, but is among the best-performing methods when the sample size is large. The B-procedure is stringent and thus has a low power in all data scenarios. Localfdr and RAF show comparable statistical behaviors with the BH-procedure with favorable power and conservativeness of FDR estimation. RAF performs the best when proportion of differentially expressed genes is small and treatment effect is weak, but Localfdr is better than RAF when proportion of differentially expressed genes is large.