Genome-wide identification of GSK gene family in Senna tora L. and expression analyses / 药学学报

Glycogen synthase kinase 3/SHAGGY-like kinase (GSK3) proteins play important roles in regulating plant growth, development, and stress response. In order to reveal the characteristics of GSK family members in the medicinal plant Senna tora L., in this study, we conducted the identification and expression analyses of GSKs in S. tora based on its whole genome data, combined with bioinformatics and gene expression research methods. The results showed that a total of nine S. tora GSK genes were identified, all of which contained the GSK characteristic kinase domains. All members were distributed on six chromosomes, the encoding amino acid length ranged from 465 to 943 aa, the protein molecular weight was from 33.57 to 88.83 kDa, and the average isoelectric point was 8.2. The StoSKs were divided into four evolutionary branches, and the StoSKs in the same evolutionary branch shared the same exon/intron structure and conserved motifs. The expansion of the StoSKs gene family was mainly due to segment duplication events, and there were 17, 11, 8 and 7 pairs of collinear genes with Glycine max, Medicago truncatula, Arabidopsis thaliana and Oryza sativa, respectively. The promoter regions of StoSKs mostly contained responses elements related to stress stimulation, growth and development, and hormone induction. Transcriptome data analysis showed that StoSKs were expressed in different tissues, with the highest expression level in roots. Quantitative real-time PCR (qRT-PCR) analysis indicated that StoSKs in different evolutionary branches displayed a synergistic expression pattern response to light, and most of StoSKs could rapidly respond to NaCl stress with significantly up-regulated expression. All the results provide a basis for further analysis of the biological functions of the GSKs gene family in S. tora.

Transcriptional analysis of Rhazya stricta in response to jasmonic acid

BACKGROUND: Jasmonic acid (JA) is a signal transducer molecule that plays an important role in plant development and stress response; it can also efficiently stimulate secondary metabolism in plant cells. RESULTS: RNA-Seq technology was applied to identify differentially expressed genes and study the time course of gene expression in Rhazya stricta in response to JA. Of more than 288 million total reads, approximately 27% were mapped to genes in the reference genome. Genes involved during the secondary metabolite pathways were up- or downregulated when treated with JA in R. stricta. Functional annotation and pathway analysis of all up- and downregulated genes identified many biological processes and molecular functions. Jasmonic acid biosynthetic, cell wall organization, and chlorophyll metabolic processes were upregulated at days 2, 6, and 12, respectively. Similarly, the molecular functions of calcium-transporting ATPase activity, ADP binding, and protein kinase activity were also upregulated at days 2, 6, and 12, respectively. Time-dependent transcriptional gene expression analysis showed that JA can induce signaling in the phenylpropanoid and aromatic acid pathways. These pathways are responsible for the production of secondary metabolites, which are essential for the development and environmental defense mechanism of R. stricta during stress conditions. CONCLUSIONS: Our results suggested that genes involved in flavonoid biosynthesis and aromatic acid synthesis pathways were upregulated during JA stress. However, monoterpenoid indole alkaloid (MIA) was unaffected by JA treatment. Hence, we can postulate that JA plays an important role in R. stricta during plant development and environmental stress conditions.

Changes in transcriptome expression profiles and functional analysis of differentially expressed genes during mycelium-to-yeast transformation of Sporothrix schenckii / 中华皮肤科杂志

Objective To compare and analyze the differences in the transcriptomics between mycelium and early yeast phases of Sporothrix schenckii (S.schenckii),and to realize the changes in transcriptome expression profiles during mycelium-to-yeast transformation.Methods A standard strain of S.schenckii (ATCC 10268) was subjected to 96-hour culture with Sabouraud medium at 25 ℃ or 36-hour culture with brain-heart infusion medium at 37 ℃ to obtain the mycelium and yeast form of S.schenckii,and then,their transcriptomes were sequenced.Functional annotation was performed for screened unigenes by comparison using several databases (such as NR,Swiss-Prot,KEGG,COG,KOG,GO and Pfam),coding sequence prediction,and gene expression analysis in each sample.Finally,the differentially expressed genes were subjected to pattern clustering,functional annotation and enrichment analysis.Results A total of 14.76 Gb valid data (clean data) were obtained,and functional annotation results were acquired in 28 094 of 43 863 assembled unigene clusters.Compared with S.schenckii in mycelium phase,there were 10 969 up-regulated genes and 199 down-regulated genes in S.schenckii in yeast phase.These differentially expressed genes were involved in protein phosphorylation,intracellular protein transport,cellular protein modification,small guanosine triphosphate-mediated signal transduction,vesicle-mediated transport,translation,intracellular signal transduction,microtubule formation,adenosine triphosphate synthesis,coupled proton transport and so on.Sixteen genes in the mitogen-activated protein kinase (MAPK) pathway and two-component signaling pathway,which were two important signal transduction pathways involved in fungal morphogenesis,and 16 genes involved in chitin synthesis and metabolism were all confirmed to be up-regulated in S.schenckii in yeast phase.Conclusions Compared with S.schenckii in mycelium phase,great changes in gene expression profiles were observed in S.schenckii in yeast phase.These differentially expressed genes are involved in many functions,suggesting that the dimorphic transition of S.schenckii is regulated by a multi-gene network system.

Subclassification and Detection of New Markers for the Discrimination of Primary Liver Tumors by Gene Expression Analysis Using Oligonucleotide Arrays

BACKGROUND/AIMS: The failure to correctly differentiate between intrahepatic cholangiocarcinoma (CC) and hepatocellular carcinoma (HCC) is a significant clinical problem, particularly in terms of the different treatment goals for both cancers. In this study a specific gene expression profile to discriminate these two subgroups of liver cancer was established and potential diagnostic markers for clinical use were analyzed. METHODS: To evaluate the gene expression profiles of HCC and intrahepatic CC, Oligonucleotide arrays (AffymetrixU133A) were used. Overexpressed genes were checked for their potential use as new markers for discrimination and their expression values were validated by reverse transcription polymerase chain reaction and immunohistochemistry analyses. RESULTS: 695 genes/expressed sequence tags (ESTs) in HCC (245 up-/450 down-regulated) and 552 genes/ESTs in CC (221 up-/331 down-regulated) were significantly dysregulated (p 2, ≥70%). Using a supervised learning method, and one-way analysis of variance a specific 270-gene expression profile that enabled rapid, reproducible differentiation between both tumors and non-malignant liver tissues was established. A panel of 12 genes (e.g., HSP90β, ERG1, GPC3, TKT, ACLY, and NME1 for HCC; SPT2, T4S3, CNX43, TTD1, HBD01 for CC) were detected and partly described for the first time as potential discrimination markers. CONCLUSIONS: A specific gene expression profile for discrimination of primary liver cancer was identified and potential marker genes with feasible clinical impact were described.

PlaD: A Transcriptomics Database for Plant Defense Responses to Pathogens, Providing New Insights into Plant Immune System / 基因组蛋白质组与生物信息学报·英文版

High-throughput transcriptomics technologies have been widely used to study plant transcriptional reprogramming during the process of plant defense responses, and a large quantity of gene expression data have been accumulated in public repositories. However, utilization of these data is often hampered by the lack of standard metadata annotation. In this study, we curated 2444 public pathogenesis-related gene expression samples from the model plant Arabidopsis and three major crops (maize, rice, and wheat). We organized the data into a user-friendly database termed as PlaD. Currently, PlaD contains three key features. First, it provides large-scale curated data related to plant defense responses, including gene expression and gene functional annotation data. Second, it provides the visualization of condition-specific expression profiles. Third, it allows users to search co-regulated genes under the infections of various pathogens. Using PlaD, we conducted a large-scale transcriptome analysis to explore the global landscape of gene expression in the curated data. We found that only a small fraction of genes were differentially expressed under multiple conditions, which might be explained by their tendency of having more network connections and shorter network distances in gene networks. Collectively, we hope that PlaD can serve as an important and comprehensive knowledgebase to the community of plant sciences, providing insightful clues to better understand the molecular mechanisms underlying plant immune responses. PlaD is freely available at http://systbio.cau.edu.cn/plad/index.php or http://zzdlab.com/plad/index.php.

Estrogenic activity of zinc pyrithione: an in vivo and in vitro study

Zinc pyrithione (ZP) is commonly used to prevent dandruff and seborrheic dermatitis. Many consumers are exposed daily to high doses of ZP, causing serious concerns about its toxicity. The reproductive and developmental toxicities were previously reported in pregnant rats. However, the estrogenic activity of ZP at varying degrees of exposure has been rarely studied. Thus, we performed an uterotrophic assay, E-screen assay, and gene expression profiling to assess the estrogenic activity of ZP. For the uterotrophic assay, ZP (2, 10, or 50 mg/kg/d) was subcutaneously administered to ovariectomized rats every day for three days. Uteri were extracted 24 hours after the last dose. Then, wet and blotted uterine weights were measured. For the E-screen essay, MCF-7 cells (a breast cancer cell line) were exposed to 10⁻⁹ to 10⁻⁶ M of ZP, and cell proliferation was then measured. For the gene expression analysis, changes of gene expression levels in uterine samples taken for the uterotrophic assay were analyzed. In the uterotrophic assay, the concentration of ZP had no significant effect on uterine weight. In the E-screen assay, ZP at any concentration showed no significant increase in MCF-7 cell proliferation, compared to the control group. However, 10⁻⁶ M of ZP significantly reduced cell viability. The changes in gene expression slightly differed between the ZP and control groups. The in vivo and in vitro assays, together with gene expression analysis, demonstrated that ZP showed no significant estrogenic activity.

Estrogenic activity of zinc pyrithione: an in vivo and in vitro study

Zinc pyrithione (ZP) is commonly used to prevent dandruff and seborrheic dermatitis. Many consumers are exposed daily to high doses of ZP, causing serious concerns about its toxicity. The reproductive and developmental toxicities were previously reported in pregnant rats. However, the estrogenic activity of ZP at varying degrees of exposure has been rarely studied. Thus, we performed an uterotrophic assay, E-screen assay, and gene expression profiling to assess the estrogenic activity of ZP. For the uterotrophic assay, ZP (2, 10, or 50 mg/kg/d) was subcutaneously administered to ovariectomized rats every day for three days. Uteri were extracted 24 hours after the last dose. Then, wet and blotted uterine weights were measured. For the E-screen essay, MCF-7 cells (a breast cancer cell line) were exposed to 10⁻⁹ to 10⁻⁶ M of ZP, and cell proliferation was then measured. For the gene expression analysis, changes of gene expression levels in uterine samples taken for the uterotrophic assay were analyzed. In the uterotrophic assay, the concentration of ZP had no significant effect on uterine weight. In the E-screen assay, ZP at any concentration showed no significant increase in MCF-7 cell proliferation, compared to the control group. However, 10⁻⁶ M of ZP significantly reduced cell viability. The changes in gene expression slightly differed between the ZP and control groups. The in vivo and in vitro assays, together with gene expression analysis, demonstrated that ZP showed no significant estrogenic activity.

Selection of reference genes for normalization of quantitative real-time PCR in cell cultures of Cyclamen persicum

As a prerequisite for gene expression analyses in cell cultures of the ornamental crop Cyclamen persicum basic parameters for quantitative real-time polymerase chain reaction (qRT-PCR) have been established including the selection of reference genes using the software tools ‘geNorm’ and ‘NormFinder’. Five potential reference genes have been tested (elongation factor tu (Ef-Tu), putative ABC transporter ATPase, putative conserved oligomeric Golgi (COG) complex component, V-ATPase G subunit 1 and Histone H3-K9 methyltransferase 4 (H3-K9-HMTase 4)). ‘NormFinder’ as well as ‘geNorm’ identified Ef-Tu to be the least stable reference gene while the ranking of the most stable genes differed depending on the algorithm. According to ‘NormFinder’ COG complex component displayed the most stable expression whereas ‘geNorm’ indicated V-ATPase G subunit 1 and a putative ABC transporter ATPase to be the most reliable reference genes. Hence, we concluded to use a normalization factor calculated from the four reference genes V-ATPase G subunit 1, ABC transporter ATPase, Histone H3-K9 methyltransferase 4 (H3-K9-HMTase 4) and COG complex component for normalization of qRT-PCR in cell cultures of Cyclamen persicum.

Trisomy 21 and Down syndrome: a short review / Trissomia do 21 e Síndrome de Down: uma breve revisão

Even though the molecular mechanisms underlying the Down syndrome (DS) phenotypes remain obscure, the characterization of the genes and conserved non-genic sequences of HSA21 together with large-scale gene expression studies in DS tissues are enhancing our understanding of this complex disorder. Also, mouse models of DS provide invaluable tools to correlate genes or chromosome segments to specific phenotypes. Here we discuss the possible contribution of HSA21 genes to DS and data from global gene expression studies of trisomic samples.

Embora os mecanismos moleculares que causam a síndrome de Down (SD) não sejam totalmente conhecidos, a caracterização de genes e seqüências não gênicas conservadas do HSA21 e os estudos de expressão em grande escala em amostras de pacientes com SD estão aumentando o entendimento da síndrome. Por outro lado, os modelos murinos da SD provêm ferramentas valiosas para correlacionar genes ou segmentos cromossômicos a características fenotípicas específicas. Nesta revisão, são discutidas as possíveis contribuições dos genes do HSA21 à SD e os dados de estudos de expressão gênica global de amostras trissômicas.

Support vector machines for novel class detection in Bioinformatics

Novelty detection techniques might be a promising way of dealing with high-dimensional classification problems in Bioinformatics. We present preliminary results of the use of a one-class support vector machine approach to detect novel classes in two Bioinformatics databases. The results are compatible with theory and inspire further investigation.