应用cDNA微阵列技术筛选大鼠脊髓损伤修复相关基因

脊髓损伤是一类常见的、高致残率的中枢神经系统疾病,由于多种复杂因素影响其损伤后的修复过程,损伤脊髓的再生能力非常有限。本研究采用cDNA微阵列技术筛选大鼠脊髓损伤后出现的差异表达基因。实验组动物在T8-T9进行脊髓全横断手术,对照组动物只打开椎板;4．5d后取脊髓进行RNA提取并在反转录过程中进行Cy3／Cy5标记,然后与预制的、带有4041条特异性探针的芯片进行杂交。Cy5／Cy3信号比值≥2．0视为脊髓损伤后出现差异表达的基因。通过筛选,我们得到了65个上调表达基因（21个已知基因,30个已知EST和14个未知基因）和79个下调基因（20个已知基因,42个已知EST和17个未知基因）。进一步通过半定量RT-PCR对其中的5个上调已知基因（Timpl,Tagln,Vim,Fc gamma receptor,Ctss）和三个下调已知基因（stearyl-CoA desaturase,F2,Ensa）的表达情况进行了验证,结果显示与芯片结果一致。这些基因可能在脊髓损伤后的修复过程中起一定的作用,对其深入研究将有助于揭示脊髓损伤修复的分子机制。     

Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach

Pancreatic cancer is a uniformly lethal disease that can be difficult to diagnose at its early stage. Thus, our present study aimed to explore the underlying mechanism and identify new targets for this disease. The data GSE16515, including 36 tumor and 16 normal samples were available from Gene Expression Omnibus. Differentially expressed genes (DEGs) were screened out using Robust Multichip Averaging and LIMMA package. Moreover, gene ontology and pathway enrichment analyses were performed to DEGs. Followed with protein–protein interaction (PPI) network construction by STRING and Cytoscape, module analysis was conducted using ClusterONE. Finally, based on PubMed, text mining about these DEGs was carried out. Total 274 up-regulated and 93 down-regulated genes were identified as the common DEGs and these genes were discovered significantly enriched in cell adhesion and extracellular region terms, as well as ECM-receptor interaction pathway. In addition, five modules were screened out from the up-regulated PPI network with none in down-regulated network. Finally, the up-regulated genes, including MIA, MET and CEACAMS, and down-regulated genes, such as FGF, INS and LAPP, had the most references in text mining analysis. Our findings demonstrate that the up- and down-regulated genes play important roles in pancreatic cancer development and might be new targets for the therapy.     

Skin Transcriptome Profiles Associated with Skin Color in Chickens

Nutritional and medicinal benefits have been attributed to the consumption of tissues from the black-boned chickens in oriental countries. Lueyang black-boned chicken is one of the native chicken breeds. However, some birds may instead have white or lighter skin, which directly causes economic losses every year. Previous studies of pigmentation have focused on a number of genes that may play important roles in coat color regulation. Illumina2000 sequencing technology was used to catalog the global gene expression profiles in the skin of the Lueyang chicken with white versus black skin. A total of 18,608 unigenes were assembled from the reads obtained from the skin of the white and black chickens. A total of 649 known genes were differentially expressed in the black versus white chickens, with 314 genes that were up regulated and 335 genes that were down-regulated, and a total of 162 novel genes were differentially expressed in the black versus white chickens, consisting of 73 genes that were up-regulated (including 4 highly expressed genes that were expressed exclusively in the skin of the black chickens) and 89 genes that were down-regulated. There were also a total of 8 known coat-color genes expressed in previous studies (ASIP, TYR, KIT, TYRP1, OCA2, KITLG, MITF and MC1R). In this study, 4 of which showed greater expression in the black chickens, and several were up-regulated, such as KIT, ASIP, TYR and OCA2. To our surprise, KITLG, MITF and MC1R showed no significant difference in expression between the black- and white-skinned chickens, and the expression of TYRP1 was not detected in either skin color. The expression of ASIP, TYR, KIT, TYRP1, OCA2, KITLG, MITF and MC1R was validated by real-time quantitative polymerase chain reaction (qPCR), and the results of the qPCR were consistent with the RNA-seq. This study provides several candidate genes that may be associated with the development of black versus white skin. More importantly, the fact that the MC1R gene showed no significant difference in expression between the black and white chickens is of particular interest for future studies that aim to elucidate its functional role in the regulation of skin color.     

The influences of PRG-1 on the expression of small RNAs and mRNAs

Background

In metazoans, Piwi-related Argonaute proteins play important roles in maintaining germline integrity and fertility and have been linked to a class of germline-enriched small RNAs termed piRNAs. Caenorhabditis elegans encodes two Piwi family proteins called PRG-1 and PRG-2, and PRG-1 interacts with the C. elegans piRNAs (21U-RNAs). Previous studies found that mutation of prg-1 causes a marked reduction in the expression of 21U-RNAs, temperature-sensitive defects in fertility and other phenotypic defects.

Results

In this study, we wanted to systematically demonstrate the function of PRG-1 in the regulation of small RNAs and their targets. By analyzing small RNAs and mRNAs with and without a mutation in prg-1 during C. elegans development, we demonstrated that (1) mutation of prg-1 leads to a decrease in the expression of 21U-RNAs, and causes 35 ~ 40% of miRNAs to be down-regulated; (2) in C. elegans, approximately 3% (6% in L4) of protein-coding genes are differentially expressed after mutating prg-1, and 60 ~ 70% of these substantially altered protein-coding genes are up-regulated; (3) the target genes of the down-regulated miRNAs and the candidate target genes of the down-regulated 21U-RNAs are enriched in the up-regulated protein-coding genes; and (4) PRG-1 regulates protein-coding genes by down-regulating small RNAs (miRNAs and 21U-RNAs) that target genes that participate in the development of C. elegans.

Conclusions

In prg-1-mutated C. elegans, the expression of miRNAs and 21U-RNAs was reduced, and the protein-coding targets, which were associated with the development of C. elegans, were up-regulated. This may be the mechanism underlying PRG-1 function.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-321) contains supplementary material, which is available to authorized users.     

Root transcriptome analysis of Arabidopsis thaliana exposed to beneficial Bacillus subtilis FB17 rhizobacteria revealed genes for bacterial recruitment and plant defense independent of malate efflux

Our previous work has demonstrated that Arabidopsis thaliana can actively recruit beneficial rhizobacteria Bacillus subtilis strain FB17 (hereafter FB17) through an unknown shoot-to-root long-distance signaling pathway post a foliar bacterial pathogen attack. However, it is still not well understood which genetic targets FB17 affects in plants. Microarray analysis of A. thaliana roots treated with FB17 post 24 h of treatment showed 168 and 129 genes that were up- and down-regulated, respectively, compared with the untreated control roots. Those up-regulated include auxin-regulated genes as well as genes involved in metabolism, stress response, and plant defense. In addition, other defense-related genes, as well as cell-wall modification genes were also down-regulated with FB17 colonization. Expression patterns of 20 selected genes were analyzed by semi-quantitative RT-PCR, validating the microarray results. A. thaliana insertion mutants were used against FB17 to further study the functional response of the differentially expressed genes. Five mutants for the up-regulated genes were tested for FB17 colonization, three (at3g28360, at3g20190 and at1g21240) mutants showed decreased FB17 colonization on the roots while increased FB17 titers was seen with three mutants of the down-regulated genes (at3g27980, at4g19690 and at5g56320). Further, these mutants for up-regulated genes and down-regulated genes were foliar infected with Pseudomonas syringae pv. tomato (hereafter PstDC3000) and analyzed for Aluminum activated malate transporter (ALMT1) expression which showed that ALMT1 may be the key regulator for root FB17 colonization. Our microarray showed that under natural condition, FB17 triggers plant responses in a manner similar to known plant growth-promoting rhizobacteria and to some extent also suppresses defense-related genes expression in roots, enabling stable colonization. The possible implication of this study opens up a new dialogin terms of how beneficial microbes regulate plant genetic response for mutualistic associations.     

Bioinformatics identification of the methylerythritol phosphate pathway associated genes in <Emphasis Type="Italic">Arabidopsis thaliana</Emphasis> with <Emphasis Type="Italic">ceh1</Emphasis> mutant

The methylerythritol phosphate (MEP) pathway for the production of isoprenoids is recently discovered. The current study aimed to identify MEP pathway disorder-related molecular mechanisms and potential genes in Arabidopsis thaliana. Microarray data (GSE61675) obtained from ceh1 mutant plants and corresponding parental lines were retrieved from Gene Expression Omnibus (GEO) database and were applied for differentially expressed genes (DEGs) screening. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed. Protein-protein interaction (PPI) network was then constructed and displayed by Cytoscape software. Total 762 DEGs including 620 up-regulated and 142 down-regulated genes were screened. In addition, a great many of DEGs were mainly involved in biosynthesis and metabolism-related pathways, such as stilbenoid, diarylheptanoid, and gingerol biosynthesis, and biosynthesis of terpenoids and steroids. Moreover, a PPI network contained 90 down-regulated genes and 497 up-regulated genes were obtained. Up-regulated DEGs including glutaredoxin (GRX480, cytochrome BC1 synthase (BCS1, syntaxin of plants 121 (SYP121) and A. thaliana MAP kinase 11 (ATMPK11) with higher degree in this network were hub nodes. Pathways including stilbenoid, diarylheptanoid, and gingerol biosynthesis obtained in our study were consistent with previous studies. Importantly, GRX480, BCS1 and ATMPK11 could have close interactions with the MEP pathway and may play important roles in the biosynthesis of isoprenoids.     

A comprehensive analysis of fifteen genes of steviol glycosides biosynthesis pathway in Stevia rebaudiana (Bertoni)

Stevia [Stevia rebuaidana (Bertoni); family: Asteraceae] is known to yield diterpenoid steviol glycosides (SGs), which are about 300 times sweeter than sugar. The present work analyzed the expression of various genes of the SGs biosynthesis pathway in different organs of the plant in relation to the SGs content. Of the various genes of the pathway, SrDXS, SrDXR, SrCPPS, SrKS, SrKO and three glucosyltransferases namely SrUGT85C2, SrUGT74G1 and SrUGT76G1 were reported from stevia. Here, we report cloning of seven additional full-length cDNA sequences namely, SrMCT, SrCMK, SrMDS, SrHDS, SrHDR, SrIDI and SrGGDPS followed by expression analysis of all the fifteen genes vis-à-vis SGs content analysis. SGs content was highest in the leaf at 3rd node position (node position with reference to the apical leaf as the first leaf) as compared to the leaves at other node positions. Except for SrDXR and SrKO, gene expression was maximum in leaf at 1st node and minimum in leaf at 5th node. The expression of SrKO was highest in leaf at 3rd node while in case of SrDXR expression showed an increase up to 3rd leaf and decrease thereafter. SGs accumulated maximum in leaf tissue followed by stem and root, and similar was the pattern of expression of all the fifteen genes. The genes responded to the modulators of the terpenopids biosynthesis. Gibberellin (GA₃) treatment up-regulated the expression of SrMCT, SrCMK, SrMDS and SrUGT74G1, whereas methyl jasmonate and kinetin treatment down-regulated the expression of all the fifteen genes of the pathway.