Prediction of gene expression in embryonic structures of Drosophila melanogaster

Understanding how sets of genes are coordinately regulated in space and time to generate the diversity of cell types that characterise complex metazoans is a major challenge in modern biology. The use of high-throughput approaches, such as large-scale in situ hybridisation and genome-wide expression profiling via DNA microarrays, is beginning to provide insights into the complexities of development. However, in many organisms the collection and annotation of comprehensive in situ localisation data is a difficult and time-consuming task. Here, we present a widely applicable computational approach, integrating developmental time-course microarray data with annotated in situ hybridisation studies, that facilitates the de novo prediction of tissue-specific expression for genes that have no in vivo gene expression localisation data available. Using a classification approach, trained with data from microarray and in situ hybridisation studies of gene expression during Drosophila embryonic development, we made a set of predictions on the tissue-specific expression of Drosophila genes that have not been systematically characterised by in situ hybridisation experiments. The reliability of our predictions is confirmed by literature-derived annotations in FlyBase, by overrepresentation of Gene Ontology biological process annotations, and, in a selected set, by detailed gene-specific studies from the literature. Our novel organism-independent method will be of considerable utility in enriching the annotation of gene function and expression in complex multicellular organisms.     

Study of gene function based on spatial co-expression in a high-resolution mouse brain atlas

Background  

The Allen Brain Atlas (ABA) project systematically profiles three-dimensional high-resolution gene expression in postnatal mouse brains for thousands of genes. By unveiling gene behaviors at both the cellular and molecular levels, ABA is becoming a unique and comprehensive neuroscience data source for decoding enigmatic biological processes in the brain. Given the unprecedented volume and complexity of the in situ hybridization image data, data mining in this area is extremely challenging. Currently, the ABA database mainly serves as an online reference for visual inspection of individual genes; the underlying rich information of this large data set is yet to be explored by novel computational tools. In this proof-of-concept study, we studied the hypothesis that genes sharing similar three-dimensional expression profiles in the mouse brain are likely to share similar biological functions.     

Use of dual section mRNA in situ hybridisation/immunohistochemistry to clarify gene expression patterns during the early stages of nephron development in the embryo and in the mature nephron of the adult mouse kidney

The kidney is the most complex organ within the urogenital system. The adult mouse kidney contains in excess of 8,000 mature nephrons, each of which can be subdivided into a renal corpuscle and 14 distinct tubular segments. The histological complexity of this organ can make the clarification of the site of gene expression by in situ hybridisation difficult. We have defined a panel of seven antibodies capable of identifying the six stages of early nephron development, the tubular nephron segments and the components of the renal corpuscle within the embryonic and adult mouse kidney. We have analysed in detail the protein expression of Wt1, Calb1 Aqp1, Aqp2 and Umod using these antibodies. We have then coupled immunohistochemistry with RNA in situ hybridisation in order to precisely identify the expression pattern of different genes, including Wnt4, Umod and Spp1. This technique will be invaluable for examining at high resolution, the structure of both the developing and mature nephron where standard in situ hybridisation and histological techniques are insufficient. The use of this technique will enhance the expression analyses of genes which may be involved in nephron formation and the function of the mature nephron in the mouse.     

FisOmics: A portal of fish genomic resources

An online portal, accessible at URL: http://mail.nbfgr.res.in/FisOmics/, was developed that features different genomic databases and tools. The portal, named as FisOmics, acts as a platform for sharing fish genomic sequences and related information in addition to facilitating the access of high-performance computational resources for genome and proteome data analyses. It provides the ability for quarrying, analysing and visualizing genomic sequences and related information. The featured databases in FisOmics are in the World Wide Web domain already. The aim to develop portal was to provide a nodal point to access the featured databases and work conveniently. Presently, FisOmics includes databases on barcode sequences, microsatellite markers, mitogenome sequences, hypoxia-responsive genes and karyology of fishes. Besides, it has a link to other molecular resources and reports on the on-going activities and research achievements.     

A scaffold for the Chinese hamster genome

Chinese hamster ovary (CHO) cells are a prevalent tool in biological research and are among the most widely used host cell lines for production of recombinant therapeutic proteins. While research in other organisms has been revolutionized through the development of DNA sequence-based tools, the lack of comparable genomic resources for the Chinese hamster has impeded similar work in CHO cell lines. A comparative genomics approach, based upon the completely sequenced mouse genome, can facilitate genomic work in this important organism. Using chromosome synteny to define regions of conserved linkage between Chinese hamster and mouse chromosomes, a working scaffold for the Chinese hamster genome has been developed. Mapping CHO and Chinese hamster sequences to the mouse genome creates direct access to relevant information in public databases. Additionally, mapping gene expression data onto a chromosome scaffold affords the ability to interpret information in a genomic context, potentially revealing important structural and regulatory features in the Chinese hamster genome. Further development of this genomic scaffold will provide opportunities to use biomolecular tools for research in CHO cell lines today and will be an asset to future efforts to sequence the Chinese hamster genome.     

CVD: the intestinal crypt/villus in situ hybridization database

The intestinal crypt/villus in situ hybridization database (CVD) query interface is a web-based tool to search for genes with similar relative expression patterns along the crypt/villus axis of the mammalian intestine. The CVD is an online database holding information for relative gene expression patterns in the mammalian intestine and is based on the scoring of in situ hybridization experiments reported in the literature. CVD contains expression data for 88 different genes collected from 156 different in situ hybridization profiles. The web-based query interface allows execution of both single gene queries and pattern searches. The query results provide links to the most relevant public gene databases. AVAILABILITY: http://pc113.imbg.ku.dk/ps/     

Development,databases and the internet

There is now a rapidly expanding population of interlinked developmental biology databases on the World Wide Web that can be readily accessed from a desk-top PC using programs such as Netscape or Mosaic. These databases cover popular organisms (Arabidopsis, Caenorhabditis, Drosophila, zebrafish, mouse, etc.) and include gene and protein sequences, lists of mutants, information on resources and techniques, and teaching aids. More complex are databases relating domains of gene expression to embryonic anatomy and these range from existing text-based systems for specific organs such as kidney, to a massive project under development, that will cover gene expression during the whole of mouse embryogenesis. In this brief article, we review selected examples of databases currently available, look forward to what will be available soon, and explain how to gain access to the World Wide Web.     

Fantastic databases and where to find them: Web applications for researchers in a rush

Public databases are essential to the development of multi-omics resources. The amount of data created by biological technologies needs a systematic and organized form of storage, that can quickly be accessed, and managed. This is the objective of a biological database. Here, we present an overview of human databases with web applications. The databases and tools allow the search of biological sequences, genes and genomes, gene expression patterns, epigenetic variation, protein-protein interactions, variant frequency, regulatory elements, and comparative analysis between human and model organisms. Our goal is to provide an opportunity for exploring large datasets and analyzing the data for users with little or no programming skills. Public user-friendly web-based databases facilitate data mining and the search for information applicable to healthcare professionals. Besides, biological databases are essential to improve biomedical search sensitivity and efficiency and merge multiple datasets needed to share data and build global initiatives for the diagnosis, prognosis, and discovery of new treatments for genetic diseases. To show the databases at work, we present a a case study using ACE2 as example of a gene to be investigated. The analysis and the complete list of databases is available in the following website <https://kur1sutaru.github.io/fantastic_databases_and_where_to_find_them/>.     

PGMapper: a web-based tool linking phenotype to genes

SUMMARY: With the availability of whole genome sequence in many species, linkage analysis, positional cloning and microarray are gradually becoming powerful tools for investigating the links between phenotype and genotype or genes. However, in these methods, causative genes underlying a quantitative trait locus, or a disease, are usually located within a large genomic region or a large set of genes. Examining the function of every gene is very time consuming and needs to retrieve and integrate the information from multiple databases or genome resources. PGMapper is a software tool for automatically matching phenotype to genes from a defined genome region or a group of given genes by combining the mapping information from the Ensembl database and gene function information from the OMIM and PubMed databases. PGMapper is currently available for candidate gene search of human, mouse, rat, zebrafish and 12 other species. AVAILABILITY: Available online at http://www.genediscovery.org/pgmapper/index.jsp.     

Combined use of in situ hybridisation and immunocytochemistry for the investigation of prolactin gene expression in immature,pubertal, pregnant,lactating and ovariectomised rats

Summary We have investigated the use of in situ hybridisation together with immunocytochemistry for the study of endocrine cell function, using as an example the expression of prolactin messenger RNA (mRNA) in pituitaries of rats under various endocrinological conditions. In situ hybridisation using a ³²P-labelled cRNA probe for rat prolactin was carried out on sections of 4% paraformaldehyde-fixed pituitaries from prepubertal, pubertal, pregnant, lactating and ovariectomised rats and adjacent sections were immunostained for prolactin. Northern gel analysis was performed on total RNA extracts of pregnant, lactating and control pituitaries. While in ovariectomised rat pituitaries both prolactin immunoreactivity and prolactin mRNA were decreased, no differences in prolactin immunostaining were seen between prepubertal, pubertal, pregnant or lactating rats and controls, even when the supra-optimal dilution technique was used. However, using in situ hybridisation, prolactin mRNA signal was increased in prepubertal rats, and with hybridisation and northern gel analysis the signal was reduced in pregnant rats and markedly increased in lactating rats. The combined use of in situ hybridisation and immunocytochemistry provides morphological information concerning endocrine gene expression and protein synthesis in the pituitary gland.     

Combined use of in situ hybridisation and immunocytochemistry for the investigation of prolactin gene expression in immature, pubertal, pregnant, lactating and ovariectomised rats

We have investigated the use of in situ hybridisation together with immunocytochemistry for the study of endocrine cell function, using as an example the expression of prolactin messenger RNA (mRNA) in pituitaries of rats under various endocrinological conditions. In situ hybridisation using a 32P-labelled cRNA probe for rat prolactin was carried out on sections of 4% paraformaldehyde-fixed pituitaries from prepubertal, pubertal, pregnant, lactating and ovariectomised rats and adjacent sections were immunostained for prolactin. Northern gel analysis was performed on total RNA extracts of pregnant, lactating and control pituitaries. While in ovariectomised rat pituitaries both prolactin immunoreactivity and prolactin mRNA were decreased, no differences in prolactin immunostaining were seen between prepubertal, pubertal, pregnant or lactating rats and controls, even when the supra-optimal dilution technique was used. However, using in situ hybridisation, prolactin mRNA signal was increased in prepubertal rats, and with hybridisation and northern gel analysis the signal was reduced in pregnant rats and markedly increased in lactating rats. The combined use of in situ hybridisation and immunocytochemistry provides morphological information concerning endocrine gene expression and protein synthesis in the pituitary gland.     

Network security and data integrity in academia: an assessment and a proposal for large-scale archiving

A direct impediment to the optimal use of online databases is the increasing prevalence, severity, and toll of computer and network security incidents. Funding agencies should set up working groups that can provide essential services such as universal backup, archival storage, and mirroring of community resources, consistent with the key goal of security in academia: to preserve data and results for posterity.     

Pathway information for systems biology

Pathway information is vital for successful quantitative modeling of biological systems. The almost 170 online pathway databases vary widely in coverage and representation of biological processes, making their use extremely difficult. Future pathway information systems for querying, visualization and analysis must support standard exchange formats to successfully integrate data on a large scale. Such integrated systems will greatly facilitate the constructive cycle of computational model building and experimental verification that lies at the heart of systems biology.     

Workflow management systems for gene sequence analysis and evolutionary studies – A Review

Post ‘omic’ era has resulted in the development of many primary, secondary and derived databases. Many analytical and visualization bioinformatics tools have been developed to manage and analyze the data available through large sequencing projects. Availability of heterogeneous databases and tools make it difficult for researchers to access information from varied sources and run different bioinformatics tools to get desired analysis done. Building integrated bioinformatics platforms is one of the most challenging tasks that bioinformatics community is facing. Integration of various databases, tools and algorithm is a challenging problem to deal with. This article describes the bioinformatics analysis workflow management systems that are developed in the area of gene sequence analysis and phylogeny. This article will be useful for biotechnologists, molecular biologists, computer scientists and statisticians engaged in computational biology and bioinformatics research.