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At least 145 records · Page 8Linked to original sources

Proteomics in Drosophila melanogaster: first 2D database of larval hemolymph proteins.

A proteomic approach was used for the identification of larval hemolymph proteins of Drosophila melanogaster. We report the initial establishment of a two-dimensional gel electrophoresis reference map for hemolymph proteins of third instar larvae of D. melanogaster. We used immobilized pH gradients of pH 4-7 (linear) and a 12-14% linear gradient polyacrylamide gel. The protein spots were silver-stained and analyzed by nanoLC-Q-Tof MS/MS (on-line nanoscale liquid chromatography quadrupole time of flight tandem mass spectrometry) or by Matrix assisted laser desorption time of flight MS (MALDI-TOF MS). Querying the SWISSPROT database with the mass spectrometric data yielded the identity of the proteins in the spots. The presented proteome map lists those protein spots identified to date. This map will be updated continuously and will serve as a reference database for investigators, studying changes at the protein level in different physiological conditions.

Animals↗

A molecular marker map in 'Kanota' x 'Ogle' hexaploid oat (Avena spp.) enhanced by additional markers and a robust framework.

Molecular mapping of cultivated oats was conducted to update the previous reference map constructed using a recombinant inbred (RI) population derived from Avena byzantina C. Koch cv. Kanota x Avena sativa L. cv. Ogle. In the current work, 607 new markers were scored, many on a larger set of RI lines (133 vs. 71) than previously reported. A robust, updated framework map was developed to resolve linkage associations among 286 markers. The remaining 880 markers were placed individually within the most likely framework interval using chi2 tests. This molecular framework incorporates and builds on previous studies, including physical mapping and linkage mapping in additional oat populations. The resulting map provides a common tool for use by oat researchers concerned with structural genomics, functional genomics, and molecular breeding.

Avena↗

Column chromatographic prefractionation leads to the detection of 543 different gene products in human fetal brain.

In a previous publication a large series of proteins were identified in fetal human brain by the use of two-dimensional electrophoresis (2-DE) with subsequent matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) and MALDI-tandem time-of-flight (TOF/TOF) analysis. Further identification of many more different spots by traditional 2-DE without additional step such as narrow immobilized ph gradient (IPG) strips or prefractionation seems unlikely and we therefore decided to separate extracted brain proteins by ion-exchange chromatography using a TSK gel DEAE-5PW column followed by 2-DE of individual fractions and analysis by MALDI-TOF/TOF with LIFT technology in fetal brain of the early second trimester. About 1880 protein spots corresponding to 543 different gene products were identified. These proteins included housekeeping, signaling, cytoskeletal, metabolic, antioxidant, and neuron/synaptosomal specific proteins. Among these, 314 gene products (314/543, 57.8%), which have never been detected in traditional 2-DE of human fetal brain, were observed by this method. This updated map of fetal brain proteins may serve as data base and reference map for fetal brain proteins, and the methodology applied may be used as a valuable analytical tool for the basis of protein expressional studies in health and disease.

Brain↗

Two-dimensional gel protein database of Saccharomyces cerevisiae (update 1999).

By proving the opportunity to visualize several hundred proteins at a time, two-dimensional (2-D) gel electrophoresis is an important tool for proteome research. In order to take advantage of the full potential of this technique for yeast studies, we have undertaken a systematic identification of yeast proteins resolved by this technique. We report here the identification of 92 novel protein spots on the yeast 2-D protein map. These identifications extend the number of protein spots identified on our yeast reference map to 401. These spots correspond to the products of 279 different genes. They have been essentially identified by three methods: gene overexpression, amino acid composition and mass spectrometry. These data can be accessed on the Yeast Protein Map server (htpp://www.ibgc.u-bordeaux2.fr/YPM).

Databases, Factual↗

Do Doppler color flow algorithms for mapping disturbed flow make sense?

It has been suggested that a major advantage of Doppler color flow mapping is its ability to visualize areas of disturbed ("turbulent") flow, for example, in valvular stenosis or regurgitation and in shunts. To investigate how various color flow mapping instruments display disturbed flow information, color image processing was used to evaluate the most common velocity-variance color encoding algorithms of seven commercially available ultrasound machines. In six of seven machines, green was reportedly added by the variance display algorithms to map areas of disturbed flow. The amount of green intensity added to each pixel along the red and blue portions of the velocity reference color bar was calculated for each machine. In this study, velocities displayed on the reference color bar ranged from +/- 46 to +/- 64 cm/sec, depending on the Nyquist limit. Of note, changing the Nyquist limits depicted on the color reference bars did not change the distribution of the intensities of red, blue, or green within the contour of the reference map, but merely assigned different velocities to the pixels. Most color flow mapping algorithms in our study added increasing intensities of green to increasing positive (red) or negative (blue) velocities along their color reference bars. Most of these machines also added increasing green to red and blue color intensities horizontally across their reference bars as a marker of increased variance (spectral broadening). However, at any given velocity, marked variations were noted between different color flow mapping instruments in the amount of green added to their color velocity reference bars.(ABSTRACT TRUNCATED AT 250 WORDS)

Algorithms↗

An update of the Courtot x Chinese Spring intervarietal molecular marker linkage map for the QTL detection of agronomic traits in wheat.

We made an update of the intervarietal molecular marker linkage map of the wheat genome developed using a doubled-haploid (DH) population derived from the cross between the cultivars "Courtot" and "Chinese Spring". This map was constructed using 187 DH lines and 659 markers. The genome was well covered (more than 95%) except for chromosomes from homoeologous group 4 and chromosomes 5D and 7D, which had gaps slightly larger than 50 cM. A core-map based on a set of 200 anchor loci (one marker each 18.4 cM) was developed. The total length of this map was 3,685 cM which is similar to the size of the international reference map of the ITMI population (3,551 cM). Map coverage was identical for the three genomes (A, B and D) and for the number of anchor loci, as well as for the size of the map. Using this map, QTLs for several agronomic traits were detected on phenotypic data from the population grown in Clermont-Ferrand (France) under natural field conditions over 6 years, and in Norwich (UK) in controlled conditions and under natural field conditions in 1 year. Almost all of the 21 chromosomes were involved in at least one trait. However, several regions seemed to contain gene clusters either for grain traits (and thus bread-making quality) or plant development traits.

Chromosome Mapping↗

Comparative proteome analysis of breast cancer and normal breast.

Breast cancer is a leading cause of death for women. The underlying molecular mechanism is still not well understood. In this study, two-dimensional gel electrophoresis combined with mass spectrometry was used to analyze changes in the proteome of infiltrating ductal carcinoma compared to normal breast tissue. Ten sets of two-dimensional gels per experimental condition were analyzed and more than 500 spots each were detected. This revealed 39 spots for which expression in breast cancer cells were reproducibly altered more than twofold compared to normal controls (p < 0.01). These spots represented 25 different proteins after identification using the database search after mass spectrometry, comprising cell defense proteins, enzymes involved in glycolytic energy metabolism and homeostasis, protein folding and structural proteins, proteins involved in cytoskeleton and cell motility, and proteins involved in other functions. In addition, 28 nondifferentially expressed proteins with different functions were also mapped and identified, which might help to establish a two-dimensional gel electrophoresis reference map of human breast cancer. Our study shows that proteomics offers a powerful methodology to detect the proteins that show different expression patterns in breast cancer tissue and may provide an accurate molecular classification. The differentially expressed proteins may be used as potential candidate markers for diagnostic purposes or for determination of tumor sensitivity to therapy. The functional implications of the identified proteins are discussed.

Biomarkers, Tumor↗

Designs of reference families for the construction of genetic linkage maps.

The reference family panel is the foundation of a gene mapping program because it affects the cost and quality of the genetic linkage maps, and should be designed to yield reliable linkage detection and locus ordering at minimal gene mapping cost. A map cost function was defined as the number of genotypes required per marker per unit of genome coverage and was used to obtain optimal designs with respect to linkage detection. An ordering reliability function was defined as the likelihood ratio of the most likely order to the second most likely order of genetic markers and was used to find optimal designs with respect to locus ordering. Optimum levels of recombination frequency were found to be in the neighborhood of 0.11-0.15 for linkage detection and were in the region of 0.05-0.20 for locus ordering. Therefore, recombination frequencies optimal for linkage detection are also optimal for locus ordering. Based on the optimal detection levels, sample size (number of offspring) and map cost requirements were derived for six representative designs, assuming gender-specific linkage maps and two alleles with equal frequency for each marker. The sample size required for linkage detection ranged from 168 to 432 offspring for full-sib designs and ranged from 350 to 600 offspring for half-sib designs depending on the family size and the target LOD score, with corresponding minimal map costs of 10-20 genotypes per marker per centiMorgan map coverage. Locus ordering generally requires more genotypes than linkage detection. For full-sib designs, meioses from both genders should be used for locus ordering even when the maps are gender-specific. For half-sib designs, additional families may be needed for locus ordering. Sample size for ordering closely linked loci as required by positional cloning were provided. Effects of family size, grandparents, and marker polymorphism on design efficiency were analyzed.

Chromosome Mapping↗

Microsatellite polymorphisms and the genetic linkage map of the human genome.

The use of simple sequence repeats as polymorphic genetic markers has significantly facilitated the construction of reference maps of the human chromosomes and the mapping of mendelian genetic diseases. These markers display major advantages over other systems, including restriction fragment length polymorphisms and satellites, but also have some limitations.

Animals↗

A radiation hybrid map of mouse genes.

A comprehensive gene-based map of a genome is a powerful tool for genetic studies and is especially useful for the positional cloning and positional candidate approaches. The availability of gene maps for multiple organisms provides the foundation for detailed conserved-orthology maps showing the correspondence between conserved genomic segments. These maps make it possible to use cross-species information in gene hunts and shed light on the evolutionary forces that shape the genome. Here we report a radiation hybrid map of mouse genes, a combined project of the Whitehead Institute/Massachusetts Institute of Technology Center for Genome Research, the Medical Research Council UK Mouse Genome Centre, and the National Center for Biotechnology Information. The map contains 11,109 genes, screened against the T31 RH panel and positioned relative to a reference map containing 2,280 mouse genetic markers. It includes 3,658 genes homologous to the human genome sequence and provides a framework for overlaying the human genome sequence to the mouse and for sequencing the mouse genome.

Animals↗

Visuomotor processing as reflected in the directional discharge of premotor and primary motor cortex neurons.

Premotor and primary motor cortical neuronal firing was studied in two monkeys during an instructed delay, pursuit tracking task. The task included a premovement "cue period," during which the target was presented at the periphery of the workspace and moved to the center of the workspace along one of eight directions at one of four constant speeds. The "track period" consisted of a visually guided, error-constrained arm movement during which the animal tracked the target as it moved from the central start box along a line to the opposite periphery of the workspace. Behaviorally, the animals tracked the required directions and speeds with highly constrained trajectories. The eye movements consisted of saccades to the target at the onset of the cue period, followed by smooth pursuit intermingled with saccades throughout the cue and track periods. Initially, an analysis of variance (ANOVA) was used to test for direction and period effects in the firing. Subsequently, a linear regression analysis was used to fit the average firing from the cue and track periods to a cosine model. Directional tuning as determined by a significant fit to the cosine model was a prominent feature of the discharge during both the cue and track periods. However, the directional tuning of the firing of a single cell was not always constant across the cue and track periods. Approximately one-half of the neurons had differences in their preferred directions (PDs) of >45 degrees between cue and track periods. The PD in the cue or track period was not dependent on the target speed. A second linear regression analysis based on calculation of the preferred direction in 20-ms bins (i.e., the PD trajectory) was used to examine on a finer time scale the temporal evolution of this change in directional tuning. The PD trajectories in the cue period were not straight but instead rotated over the workspace to align with the track period PD. Both clockwise and counterclockwise rotations occurred. The PD trajectories were relatively straight during most of the track period. The rotation and eventual convergence of the PD trajectories in the cue period to the preferred direction of the track period may reflect the transformation of visual information into motor commands. The widely dispersed PD trajectories in the cue period would allow targets to be detected over a wide spatial aperture. The convergence of the PD trajectories occurring at the cue-track transition may serve as a "Go" signal to move that was not explicitly supplied by the paradigm. Furthermore, the rotation and convergence of the PD trajectories may provide a mechanism for nonstandard mapping. Standard mapping refers to a sensorimotor transformation in which the stimulus is the object of the reach. Nonstandard mapping is the mapping of an arbitrary stimulus into an arbitrary movement. The shifts in the PD may allow relevant visual information from any direction to be transformed into an appropriate movement direction, providing a neural substrate for nonstandard stimulus-response mappings.

Animals↗

Proteome analysis of human plasma and amniotic fluid by Off-Gel isoelectric focusing followed by nano-LC-MS/MS.

This paper presents a comparative proteomic analysis of human maternal plasma and amniotic fluid (AF) samples from the same patient at term of pregnancy in order to find specific AF proteins as markers of premature rupture of membranes, a complication frequently observed during pregnancy. Maternal plasma and the corresponding AF were immunodepleted in order to remove the six most abundant proteins before the systematic analysis of their protein composition. The protein samples were then fractionated by IEF Off-Gel electrophoresis (OGE), digested and analyzed with nano-LC-MS/MS separation, revealing a total of 73 and 69 proteins identified in maternal plasma and AF samples, respectively. The proteins identified in AF have been compared to those identified in the mother plasma as well as to the reference human plasma protein list reported by Anderson et al. (Mol. Cell. Proteomics 2004, 3, 311-326). This comparison showed that 26 proteins were exclusively present in AF and not in plasma among which 10 have already been described to be placenta or pregnancy specific. As a further validation of the method, plasma proteins fractionated by OGE and analysed by nano-LC-MS/MS have been compared to the Swiss 2-D PAGE reference map by reconstructing a map that matches 2-D gel and OGE experimental data. This representation shows that 36 of 49 reference proteins could be identified in both data sets, and that isoform shifts in pI are well conserved in the OGE data sets.

Amniotic Fluid↗

High resolution two-dimensional mapping of tissue-specific polypeptides in the desert locust, Schistocerca gregaria.

High resolution two-dimensional gel electrophoresis (2-DE) using immobilized pH gradients was used to map the tissue-specific polypeptides of the desert locust, Schistocerca gregaria. Highly specific comprehensive 2-DE reference maps ("master gels") were developed for the brain, corpus cardiacum, subesophageal ganglion, and hemolymph. The polypeptides were well resolved within the pH 4-7 range in the first dimension and within the 14-94 kDa molecular mass range in the second dimension.

Animals↗

Decoding 2D-PAGE complex maps: relevance to proteomics.

This review describes two mathematical approaches useful for decoding the complex signal of 2D-PAGE maps of protein mixtures. These methods are helpful for interpreting the large amount of data of each 2D-PAGE map by extracting all the analytical information hidden therein by spot overlapping. Here the basic theory and application to 2D-PAGE maps are reviewed: the means for extracting information from the experimental data and their relevance to proteomics are discussed. One method is based on the quantitative theory of statistical model of peak overlapping (SMO) using the spot experimental data (intensity and spatial coordinates). The second method is based on the study of the 2D-autocovariance function (2D-ACVF) computed on the experimental digitised map. They are two independent methods that are able to extract equal and complementary information from the 2D-PAGE map. Both methods permit to obtain fundamental information on the sample complexity and the separation performance and to single out ordered patterns present in spot positions: the availability of two independent procedures to compute the same separation parameters is a powerful tool to estimate the reliability of the obtained results. The SMO procedure is an unique tool to quantitatively estimate the degree of spot overlapping present in the map, while the 2D-ACVF method is particularly powerful in simply singling out the presence of order in the spot position from the complexity of the whole 2D map, i.e., spot trains. The procedures were validated by extensive numerical computation on computer-generated maps describing experimental 2D-PAGE gels of protein mixtures. Their applicability to real samples was tested on reference maps obtained from literature sources. The review describes the most relevant information for proteomics: sample complexity, separation performance, overlapping extent, identification of spot trains related to post-translational modifications (PTMs).

Electrophoresis, Gel, Two-Dimensional↗

Zooming in on the human-mouse comparative map: genome conservation re-examined on a high-resolution scale.

Over the past decade, conservation of genetic linkage groups has been shown in mammals and used to great advantage, fueling significant exchanges of gene mapping and functional information especially between the genomes of humans and mice. As human physical maps increase in resolution from chromosome bands to nucleotide sequence, comparative alignments of mouse and human regions have revealed striking similarities and surprising differences between the genomes of these two best-mapped mammalian species. Whereas, at present, very few mouse and human regions have been compared on the physical level, existing studies provide intriguing insights to genome evolution, including the observation of recent duplications and deletions of genes that may play significant roles in defining some of the biological differences between the two species. Although high-resolution conserved marker-based maps are currently available only for human and mouse, a variety of new methods and resources are speeding the development of comparative maps of additional organisms. These advances mark the first step toward establishment of the human genome as a reference map for vertebrate species, providing evolutionary and functional annotation to human sequence and vast new resources for genetic analysis of a variety of commercially, medically, and ecologically important animal models.

Animals↗

Construction of a combined sorghum linkage map from two recombinant inbred populations using AFLP, SSR, RFLP, and RAPD markers, and comparison with other sorghum maps.

Sorghum [ Sorghum bicolor (L.) Moench] is an important crop in the semi-arid tropics that also receives growing attention in genetic research. A comprehensive reference map of the sorghum genome would be an essential research tool. Here, a combined sorghum linkage map from two recombinant inbred populations was constructed using AFLP, SSR, RFLP and RAPD markers. The map was aligned with other published sorghum maps which are briefly reviewed. The two recombinant inbred populations (RIPs) analyzed in this study consisted of 225 (RIP 1) and 226 (RIP 2) F(3:5) lines, developed from the crosses IS 9830 x E 36-1 (RIP 1) and N 13 x E 36-1 (RIP 2), respectively. The genetic map of RIP 1 had a total length of 1,265 cM (Haldane), with 187 markers (125 AFLPs, 45 SSRs, 14 RFLPs, 3 RAPDs) distributed over ten linkage groups. The map of RIP 2 spanned 1,410 cM and contained 228 markers (158 AFLPs, 54 SSRs, 16 RFLPs) in 12 linkage groups. The combined map of the two RIPs contained 339 markers (249 AFLPs, 63 SSRs, 24 RFLPs, 3 RAPDs) on 11 linkage groups and had a length of 1,424 cM. It was in good agreement with other sorghum linkage maps, from which it deviated by a few apparent inversions, deletions, and additional distal regions.

Journal Article↗