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Objective: Develop a framework for collections-based access to networked information sources that addresses the problem of location-dependent access to information sources.Design: This framework uses a metaphor of a virtual shelf. A virtual shelf is a general-purpose server that is dedicated to a particular information subject class. The identifier of one of these servers identifies its subject class. Location-independent call numbers are assigned to information sources. Call numbers are based on standard vocabulary codes. The call numbers are first mapped to the location-independent identifiers of virtual shelves. When access to an information resource is required, a location directory provides a second mapping of these location-independent server identifiers to actual network locations.Results: The framework has been implemented in two different systems. One system is based on the Open System Foundation/Distributed Computing Environment and the other is based on the World Wide Web.Conclusions: This framework applies in new ways traditional methods of library classification and cataloging. It is compatible with two traditional styles of selecting information searching and browsing. Traditional methods may be combined with new paradigms of information searching that will be able to take advantage of the special properties of digital information. Cooperation between the library-informational science community and the informatics community can provide a means for a continuing application of the knowledge and techniques of library science to the new problems of networked information sources. [ABSTRACT FROM AUTHOR]

In Neurospora crassa, unpaired genes are silenced by a mechanism called meiotic silencing by unpaired DNA (MSUD). Although some RNA interference proteins are necessary for this process, its requirement of small RNAs has yet to be formally established. Here we report the characterization of small RNAs targeting an unpaired region, using Illumina sequencing.

The tenth annual conference of the MidSouth Computational Biology and Bioinformatics Society (MCBIOS 2013), "The 10th Anniversary in a Decade of Change: Discovery in a Sea of Data", took place at the Stoney Creek Inn & Conference Center in Columbia, Missouri on April 5-6, 2013. This year's Conference Chairs were Gordon Springer and Chi-Ren Shyu from the University of Missouri and Edward Perkins from the US Army Corps of Engineers Engineering Research and Development Center, who is also the current MCBIOS President (2012-3). There were 151 registrants and a total of 111 abstracts (51 oral presentations and 60 poster session abstracts).

In vitro embryo culture systems promote development at rates lower than in vivo systems. The goal of this project was to discover transcripts that may be responsible for a decrease of embryo competency in blastocyst-stage embryos cultured in vitro. Gilts were artificially inseminated on the first day of estrus, and on Day 2, one oviduct and the tip of a uterine horn were flushed and the recovered embryos were cultured in porcine zygote medium 3 for 4 days. On Day 6, the gilts were euthanized and the contralateral horn was flushed to obtain in vivo derived embryos. Total RNA was extracted from three pools of 10 blastocysts from each treatment. First and second strand cDNA was synthesized and sequenced using Illumina sequencing. The reads generated were aligned to a custom-built database designed to represent the known porcine transcriptome. A total of 1170 database members were different between the two groups (P < 0.05), and 588 of those had at least a 2-fold difference. Eleven transcripts were subjected to real-time PCR that validated the sequencing. There was an overall decrease in inner cell mass (ICM) and trophectodermal (TE) cell numbers in embryos cultured in vitro; however, no difference in the ICM:TE ratio was found. Interestingly, the transcript SLC7A1 was higher in the in vitro cultured group. This difference disappeared after addition of arginine to the 4-day culture. Illumina sequencing and alignment to a custom transcriptome identified a large number of genes that yield clues on ways to manipulate the culture media to mimic the in vivo environment.

cDNA derived from trophectoderm (TE) and embryonic disc (ED) of a single day 12 porcine embryo was subjected to next-generation sequencing using the Illumina platform. The short sequencing reads from triplicate sequencing runs were aligned to a custom database designed to represent the known porcine transcriptome. As expected, genes involved in epithelial cell function and steroid biosynthesis were more abundant in cells from the TE; genes involved in maintenance of pluripotency and chromatin remodeling were more highly expressed in cells from the ED. Quantitative real-time PCR was used to confirm the validity of the approach. We conclude that gene expression profiles of even extremely small samples (

Identification of transcripts at key development stages of preimplantation embryos is critical for a better understanding of early embryogenesis. The current study had two aims. The first was to characterize the relative abundance of multiple transcripts during several developmental stages, namely, metaphase II-stage oocytes (MPII), as well as 2-cell, precompact morula (PCM) and in vitro-produced blastocyst (IVTBL) stage embryos. The second was to characterize differences in the relative abundance of transcripts present in in vivo- (IVVBL), in vitro- (IVTBL), and nuclear transfer-derived (NTBL) blastocysts. It was hypothesized that the identification of differentially represented transcripts from these embryos would reveal not only developmentally important genes, but also genes that might be aberrantly expressed due to embryo production techniques. Individual clusters from a large bovine expressed sequence tag (EST) library (http://genome.rnet.missouri.edu/bovine/) of female reproductive tissues and embryos were compared using Fisher's Exact Test weighted by number of transcripts per tissue by gene. Of the 3,144 transcripts that were present during embryogenesis, 125 were found to be differentially represented (P < or = 0.01) in at least one pairwise comparison. Fifteen of these transcripts were selected for further examination using quantitative real-time PCR (qRTPCR) to determine differences in transcript abundance. Twelve of the 15 transcripts were differentially represented (n = 9, P < or = 0.01; n = 3, P < or = 0.05) in at least one pairwise comparison. In summary, identification of differentially represented transcripts in early embryo development, which are modulated by in vitro techniques, should provide markers to ensure the production of embryos closer to those developed in vivo.

Background: Previous work showed that the maize primary root adapts to low Psiw (-1.6 MPa) by maintaining longitudinal expansion in the apical 3 mm (region 1), whereas in the adjacent 4 mm (region 2) longitudinal expansion reaches a maximum in well-watered roots but is progressively inhibited at low Psiw. To identify mechanisms that determine these responses to low Psiw, transcript expression was profiled in these regions of water-stressed and well-watered roots. In addition, comparison between region 2 of water-stressed roots and the zone of growth deceleration in well-watered roots (region 3) distinguished stress-responsive genes in region 2 from those involved in cell maturation., Results: Responses of gene expression to water stress in regions 1 and 2 were largely distinct. The largest functional categories of differentially expressed transcripts were reactive oxygen species and carbon metabolism in region 1, and membrane transport in region 2. Transcripts controlling sucrose hydrolysis distinguished well-watered and water-stressed states (invertase vs. sucrose synthase), and changes in expression of transcripts for starch synthesis indicated further alteration in carbon metabolism under water deficit. A role for inositols in the stress response was suggested, as was control of proline metabolism. Increased expression of transcripts for wall-loosening proteins in region 1, and for elements of ABA and ethylene signaling were also indicated in the response to water deficit., Conclusion: The analysis indicates that fundamentally different signaling and metabolic response mechanisms are involved in the response to water stress in different regions of the maize primary root elongation zone.

Regionally distinct elongation responses to water stress in the maize primary root tip have been observed in the past. A genetic basis for such differential responses has been demonstrated. Normalized bar-coded cDNA libraries were generated for four regions of the root tip, 0-3 mm (R1), 3-7 mm (R2), 7-12 mm (R3), and 12-20 mm (R4) from the root apex, and transcript profiles for these regions were sampled. This permitted a correlation between transcript nature and regional location for 15 726 expressed sequence tags (ESTs) that, in approximately equal numbers, derived from three conditions of the root: water stress (water potential: -1.6 MPa) for 5 h and for 48 h, respectively, and well watered (5 h and 48 h combined). These normalized cDNA libraries provided 6553 unigenes. An analysis of the regional representation of transcripts showed that populations were largely unaffected by water stress in R1, correlating with the maintenance of elongation rates under water stress known for R1. In contrast, transcript profiles in regions 2 and 3 diverged in well-watered and water-stressed roots. In R1, transcripts for translation and cell cycle control were prevalent. R2 was characterized by transcripts for cell wall biogenesis and cytoskeleton formation. R3 and R4 shared prevalent groups of transcripts responsible for defence mechanisms, ion transport, and biogenesis of secondary metabolites. Transcripts which were followed for 1, 6, and 48 h of water stress showed distinct region-specific changes in absolute expression and changes in regulated functions.

The LH surge initiates the luteinization of preovulatory follicles and causes hormonal and structural changes that ultimately lead to ovulation and the formation of corpora lutea. The objective of the study was to examine gene expression in ovarian follicles (n = 11) collected from pigs (Sus scrofa domestica) approaching estrus (estrogenic preovulatory follicle; n = 6 follicles from two sows) and in ovarian follicles collected from pigs on the second day of estrus (preovulatory follicles that were luteinized but had not ovulated; n = 5 follicles from two sows). The follicular status within each follicle was confirmed by follicular fluid analyses of estradiol and progesterone ratios. Microarrays were made from expressed sequence tags that were isolated from cDNA libraries of porcine ovary. Gene expression was measured by hybridization of fluorescently labeled cDNA (preovulatory estrogenic or -luteinized) to the microarray. Microarray analyses detected 107 and 43 genes whose expression was decreased or increased (respectively) during the transition from preovulatory estrogenic to -luteinized (P<0.01). Cells within preovulatory estrogenic follicles had a gene-expression profile of proliferative and metabolically active cells that were responding to oxidative stress. Cells within preovulatory luteinized follicles had a gene-expression profile of nonproliferative and migratory cells with angiogenic properties. Approximately, 40% of the discovered genes had unknown function.

Serial Analysis of Gene Expression was used to define number and relative abundance of transcripts in the root tip of well-watered maize seedlings (Zea mays cv FR697). In total, 161,320 tags represented a minimum of 14,850 genes, based on at least two tags detected per transcript. The root transcriptome has been sampled to an estimated copy number of approximately five transcripts per cell. An extrapolation from the data and testing of single-tag identifiers by reverse transcription-PCR indicated that the maize root transcriptome should amount to at least 22,000 expressed genes. Frequency ranged from low copy number (2-5, 68.8%) to highly abundant transcripts (100-->1,200; 1%). Quantitative reverse transcription-PCR for selected transcripts indicated high correlation with tag frequency. Computational analysis compared this set with known maize transcripts and other root transcriptome models. Among the 14,850 tags, 7,010 (47%) were found for which no maize cDNA or gene model existed. Comparing the maize root transcriptome with that in other plants indicated that highly expressed transcripts differed substantially; less than 5% of the most abundant transcripts were shared between maize and Arabidopsis (Arabidopsis thaliana). Transcript categories highlight functions of the maize root tip. Significant variation in abundance characterizes transcripts derived from isoforms of individual enzymes in biochemical pathways.

Differential mRNA expression patterns were evaluated between germinal vesicle oocytes (pgvo), four-cell (p4civv), blastocyst (pblivv), and in vitro-produced four-cell (p4civp) and in vitro-produced blastocyst (pblivp) stage embryos to determine key transcripts responsible for early embryonic development in the pig. Five comparisons were made: pgvo to p4civv, p4civv to pblivv, pgvo to pblivv, p4civv to p4civp, and pblivv to pblivp. ANOVA (P < 0.05) was performed with the Benjamini and Hochberg false-discovery-rate multiple correction test on each comparison. A comparison of pgvo to p4civv, p4civv to pblivv, and pgvo to pblivv resulted in 3214, 1989, and 4528 differentially detected cDNAs, respectively. Real-time PCR analysis on seven transcripts showed an identical pattern of changes in expression as observed on the microarrays, while one transcript deviated at a single cell stage. There were 1409 and 1696 differentially detected cDNAs between the in vitro- and in vivo-produced embryos at the four-cell and blastocyst stages, respectively, without the Benjamini and Hochberg false-discovery-rate multiple correction test. Real-time polymerase chain reaction (PCR) analysis on four genes at the four-cell stage showed an identical pattern of gene expression as found on the microarrays. Real-time PCR analysis on four of five genes at the blastocyst stage showed an identical pattern of gene expression as found on the microarrays. Thus, only 1 of the 39 comparisons of the pattern of gene expression exhibited a major deviation between the microarray and the real-time PCR. These results illustrate the complex mechanisms involved in pig early embryonic development.

One method to identify the factors that control ovarian function is to characterize the genes that are expressed in ovary. In the present study, cDNA libraries from fetal, neonatal, and prepubertal porcine ovaries, pubertal ovaries on different days of the estrous cycle (Days 0 [follicle], 5, and 12 [follicle and corpus luteum]), and follicles isolated from weaned sows (diameter, 2, 4, 6, and 8 mm) were constructed and sequenced. A total of 22 176 cDNAs were sequenced, of which 15 613 were of sufficient quality for clustering. Clustering of cDNAs resulted in 8507 contigs, 6294 (74%) of which were comprised of a single sequence. Sixty-eight percent of the contigs had consensus sequences that were homologous to existing Tentative Consensus (TC) sequences or mature transcripts (ET) in The Institute for Genomic Research Porcine Gene Index. The consensus sequences were classified according to the Gene Ontology Index. Most cDNA-encoded proteins were components of the nucleus, ribosome, or mitochondrion. The proteins primarily functioned in binding, catalysis, and transport. Nearly 75% of the proteins were involved in metabolism and cell growth and/or maintenance. Analysis of the cDNA frequency across different libraries demonstrated differential gene expression within different-size follicles, between follicles and corpora lutea, and across developmental time-points. The expression of selected genes (analyzed by ribonuclease protection assay and Northern blotting) was consistent with the frequency of their respective cDNA in the individual libraries. This porcine ovary unigene set will be useful for identifying factors and mechanisms controlling ovarian follicular development in a variety of species.

Progress in understanding the network of mechanisms involved in maize primary root growth maintenance under water deficits is reviewed. These include the adjustment of growth zone dimensions, turgor maintenance by osmotic adjustment, and enhanced cell wall loosening. The role of the hormone abscisic acid (ABA) in maintaining root growth under water deficits is also addressed. The research has taken advantage of kinematic analysis, i.e. characterization of spatial and temporal patterns of cell expansion within the root growth zone. This approach revealed different growth responses to water deficits and ABA deficiency in distinct regions of the root tip. In the apical 3 mm region, elongation is maintained at well-watered rates under severe water deficit, although only in ABA-sufficient roots, whereas the region from 3-7 mm from the apex exhibits maximum elongation in well-watered roots, but progressive inhibition of elongation in roots under water deficit. This knowledge has greatly facilitated discovery of the mechanisms involved in regulating the responses. The spatial resolution with which this system has been characterized and the physiological knowledge gained to date provide a unique and powerful underpinning for functional genomics studies. Characterization of water deficit-induced changes in transcript populations and cell wall protein profiles within the growth zone of the maize primary root is in progress. Initial results from EST and unigene analyses in the tips of well-watered and water-stressed roots highlight the strength of the kinematic approach to transcript profiling.

Identification of mRNAs that are present at early stages of embryogenesis is critical for a better understanding of development. To this end, cDNA libraries were constructed from germinal vesicle-stage oocytes, in vivo-produced four-cell- and blastocyst-stage embryos, and from in vitro-produced four-cell- and blastocyst-stage embryos. Randomly picked clones (10 848) were sequenced from the 3' end and those of sufficient quality (8066, 74%) were clustered into groups of sequence similarity (>95% identity), resulting in 2489 clusters. The sequence of the longest representative expressed sequence tag (EST) of each cluster was compared with GenBank and TIGR. Scores below 200 were considered unique, and 1114 (44.8%) did not have a match in either database. Sequencing from the 5' end yielded 12 of 37 useful annotations, suggesting that one third of the 1114 might be identifiable, still leaving over 700 unique ESTs. Virtual Northerns compared between the stages identified numerous genes where expression appears to change from the germinal vesicle oocyte to the four-cell stage, from the four-cell to blastocyst stage, and between in vitro- and in vivo-derived four-cell- and blastocyst-stage embryos. This is the first large-scale sequencing project on early pig embryogenesis and has resulted in the discovery of a large number of genes as well as possible stage-specific expression. Because many of these ESTs appear to not be in the public databases, their addition will be useful for transcriptional profiling experiments conducted on early pig embryos.

Integration of computer-based information sources should be useful for biomedical research. An information retrieval map is a graphical representation of a set of expert rules for integrating computer-based information sources based on the data connections among those information sources. The use and implementation of an information retrieval map for sequence alignment is described.

Useful retrieval of biomedical information from network information sources requires methods for organized access to those information sources. This access must be organized in terms of the information content of information sources and in terms of the discovery of the network location of those information sources. We have developed an approach to providing organized access to information sources based on a scheme of hierarchical classifiers and identifiers of the servers providing access to those information sources. This approach uses MeSH tree numbers as both classifiers and identifiers of servers. MeSH tree numbers are used to indicate the information content of servers, and also as OSF/DCE server identifiers. This allows the identity and location of a server providing access to a given information source to be determined from the information classification of that information source.

Researchers in the biological sciences require access to a variety of information sources located in various places on different computer networks. In order to satisfy the information needs of a researcher, appropriate information sources must be selected and access to these information sources and the computing services supporting them must be provided in a way that does not distract the researcher from problems of real interest. At the University of Missouri-Columbia a service-oriented information sources database is being developed as a key component of a layered-model design of an intelligent system which will provide a research environment appropriate to the needs of researchers in the biological sciences.

A description of an open system, distributed computing environment for the Biological Sciences is presented. This system utilizes a transparent interface in a computer network using NCS to implement an application system for molecular biologists to perform various processing activities from their local workstation. This system accepts requests for the services of a remote database server, located across the network, to perform all of the database searches needed to support the activities of the user. This database access is totally transparent to the user of the system and it appears, to the user, that all activities are being carried out on the local workstation. This system is a prototype for a much more extensive system being built to support the research efforts in the Biological Sciences at UMC.