GOTreePlus: an interactive gene ontology browser

Juniper: A Tree+ Table Approach to Multivariate Graph Visualization

Analyzing large, multivariate graphs is an important problem in many domains, yet such graphs are challenging to visualize. In this paper, we introduce a novel, scalable, tree+table multivariate graph visualization technique, which makes many tasks related to multivariate graph analysis easier to achieve. The core principle we follow is to selectively query for nodes or subgraphs of interest and visualize these subgraphs as a spanning tree of the graph. The tree is laid out linearly, which enables us to juxtapose the nodes with a table visualization where diverse attributes can be shown. We also use this table as an adjacency matrix, so that the resulting technique is a hybrid node-link/adjacency matrix technique. We implement this concept in Juniper and complement it with a set of interaction techniques that enable analysts to dynamically grow, restructure, and aggregate the tree, as well as change the layout or show paths between nodes. We demonstrate the utility of our tool in usage scenarios for different multivariate networks: a bipartite network of scholars, papers, and citation metrics and a multitype network of story characters, places, books, etc.

Integrative transcriptomic analysis of NAFLD animal model reveals dysregulated genes and pathways in metabolism

Dysregulation of metabolism in hepatocytes leads to hepatic diseases such as hepatitis and non-alcoholic fatty liver disease (NAFLD). NAFLD represents a spectrum of liver diseases ranging from simple steatosis to nonalcoholic steatohepatitis (NASH). NASH is likely to progress to cirrhosis, liver failure and hepatocellular carcinoma, which lead to poor long-term prognosis. However, the exact mechanism of development of NAFLD is not well elucidated. In order to better understand the pathogenesis of NAFLD, we have performed an integrative analysis to livers from NAFLD rat models in a global view of the transcriptome. By systemic and integrative analyses, we have found that transport, angiogenesis and cell adhesion were upregulated in response to high fat diet feeding, which may cause a large amount of free fatty acid transport, hepatic fibrosis and hepatocytes injury. GO tree analysis has shown that angiogenesis was upregulated. GO term in response to high fat diet which may cause fibrosis. The pathway interaction network has indicated that upregulated "valine, leucine, and isoleucine metabolism" may decrease the serum concentration of branched-chain amino acid (BCAA). The enhanced degradation of BCAA in NAFLD animal models may lead to inhibition of the regeneration of hepatocytes, reducing the production of albumin, attenuating the inhibition of liver cancer and decreasing immunity. Overall, high fat diet upregulated a variety of metabolism which have converged at TCA cycle. High fatty has pushed the hepatic mitochondria to a "busy state". Comprehensively, genes participated in dysregulated biological process and metabolisms may be served as indicators for evaluation of NAFLD progression and therapeutic targets.

Analysis and annotation of the hexaploid oat seed transcriptome

BACKGROUND

Next generation sequencing provides new opportunities to explore transcriptomes. However, challenges remain for accurate differentiation of homoeoalleles and paralogs, particularly in polyploid organisms with no supporting genome sequence. In this study, RNA-Seq was employed to generate and characterize the first gene expression atlas for hexaploid oat.

RESULTS

The software packages Trinity and Oases were used to produce a transcript assembly from nearly 134 million 100-bp paired-end reads from developing oat seeds. Based on the quality-parameters employed, Oases assemblies were superior. The Oases 67-kmer assembly, denoted dnOST (de novo Oat Seed Transcriptome), is over 55 million nucleotides in length and the average transcript length is 1,043 nucleotides. The 74.8× sequencing depth was adequate to differentiate a large proportion of putative homoeoalleles and paralogs. To assess the robustness of dnOST, we successfully identified gene transcripts associated with the biosynthetic pathways of three compounds with health-promoting properties (avenanthramides, tocols, β-glucans), and quantified their expression.

CONCLUSIONS

To our knowledge, this study provides the first direct performance comparison between two major assemblers in a polyploid organism. The workflow we developed provides a useful guide for comparable analyses in other organisms. The transcript assembly developed here is a major advance. It expands the number of oat ESTs 3-fold, and constitutes the first comprehensive transcriptome study in oat. This resource will be a useful new tool both for analysis of genes relevant to nutritional enhancement of oat, and for improvement of this crop in general.

TGF-β drives epithelial-mesenchymal transition through δEF1-mediated downregulation of ESRP

Epithelial-mesenchymal transition (EMT) is a crucial event in wound healing, tissue repair and cancer progression in adult tissues. We have recently shown that transforming growth factor (TGF)-β-induced EMT involves isoform switching of fibroblast growth factor receptors by alternative splicing. We performed a microarray-based analysis at single exon level to elucidate changes in splicing variants generated during TGF-β-induced EMT, and found that TGF-β induces broad alteration of splicing patterns by downregulating epithelial splicing regulatory proteins (ESRPs). This was achieved by TGF-β-mediated upregulation of δEF1 family proteins, δEF1 and SIP1. δEF1 and SIP1 each remarkably repressed ESRP2 transcription through binding to the ESRP2 promoter in NMuMG cells. Silencing of both δEF1 and SIP1, but not either alone, abolished the TGF-β-induced ESRP repression. The expression profiles of ESRPs were inversely related to those of δEF1 and SIP in human breast cancer cell lines and primary tumor specimens. Further, overexpression of ESRPs in TGF-β-treated cells resulted in restoration of the epithelial splicing profiles as well as attenuation of certain phenotypes of EMT. Therefore, δEF1 family proteins repress the expression of ESRPs to regulate alternative splicing during TGF-β-induced EMT and the progression of breast cancers.

SimCT: a generic tool to visualize ontology-based relationships for biological objects

We present a web-based service, SimCT, which allows to graphically display the relationships between biological objects (e.g. genes or proteins) based on their annotations to a biomedical ontology. The result is presented as a tree of these objects, which can be viewed and explored through a specific java applet designed to highlight relevant features. Unlike the numerous tools that search for overrepresented terms, SimCT draws a simplified representation of biological terms present in the set of objects, and can be applied to any ontology for which annotation data is available. Being web-based, it does not require prior installation, and provides an intuitive, easy-to-use service.

AVAILABILITY

http://tagc.univ-mrs.fr/SimCT.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.