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91.
92.
Natarajan K Ashley CA Hadwiger JA 《Differentiation; research in biological diversity》2000,66(2-3):136-146
Of the several known Dictyostelium G protein subunits, the Galpha4 and Galpha5 subunits are the most closely related pair based on phylogenetic analysis and expression patterns, but these subunits perform different roles during development. To investigate potential relationships between these subunits with respect to cell differentiation, chimeric organisms composed of strains lacking or overexpressing either subunit were created and examined for developmental morphogenesis and spore production. Chimeras of galpha4 null and galpha5 null strains or Galpha4 and Galpha5 overexpression strains displayed compensatory morphogenesis, implying that the subunits promote complementary developmental processes. However, chimeras composed of galpha4 null and Galpha5 overexpression strains or galpha5 null and Galpha4 overexpression strains displayed distorted tip morphogenesis, suggesting the strains of these chimeras share common developmental deficiencies. Cells lacking the Galpha5 subunit localized to the prespore region of chimeras similar to the pattern observed for cells overexpressing the Galpha4 subunit, and cells overexpressing the Galpha5 subunit displayed localization patterns similar to galpha4 null mutants. A strain overexpressing both subunits displayed a partial suppression of morphology, gene expression, and cell localization phenotypes associated with the overexpression of the individual Galpha subunit genes, suggesting that each Galpha subunits can inhibit signaling mediated by the other subunit. Overexpression of the Galpha5 subunit inhibited chemotaxis and cGMP accumulation in response to folic acid, indicating that the Galpha5 subunit can inhibit early steps in the Galpha4-mediated signal transduction pathway. The contrasting phenotypes of the Galpha mutants suggest the Galpha4 and Galpha5 subunits provide opposing functions in cell differentiation, localization, and chemotactic responses to folic acid. 相似文献
93.
Kesarwani M Azam M Natarajan K Mehta A Datta A 《The Journal of biological chemistry》2000,275(10):7230-7238
Oxalic acid is present as nutritional stress in many crop plants like Amaranth and Lathyrus. Oxalic acid has also been found to be involved in the attacking mechanism of several phytopathogenic fungi. A full-length cDNA for oxalate decarboxylase, an oxalate-catabolizing enzyme, was isolated by using 5'-rapid amplification of cDNA ends-polymerase chain reaction of a partial cDNA as cloned earlier from our laboratory (Mehta, A., and Datta, A. (1991) J. Biol. Chem. 266, 23548-23553). By screening a genomic library from Collybia velutipes with this cDNA as a probe, a genomic clone has been isolated. Sequence analyses and comparison of the genomic sequence with the cDNA sequence revealed that the cDNA is interrupted with 17 small introns. The cDNA has been successfully expressed in cytosol and vacuole of transgenic tobacco and tomato plants. The transgenic plants show normal phenotype, and the transferred trait is stably inherited to the next generation. The recombinant enzyme is partially glycosylated and shows oxalate decarboxylase activity in vitro as well as in vivo. Transgenic tobacco and tomato plants expressing oxalate decarboxylase show remarkable resistance to phytopathogenic fungus Sclerotinia sclerotiorum that utilizes oxalic acid during infestation. The result presented in the paper represents a novel approach to develop transgenic plants resistant to fungal infection. 相似文献
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96.
Lachance MA Pupovac-Velikonja A Natarajan S Schlag-Edler B 《Canadian journal of microbiology》2000,46(6):495-505
Yeast predation was studied with respect to the range of its distribution among ascomycetous yeasts, the range of yeast species that can be affected, and nutritional aspects of the phenomenon. The yeasts identified as predators belong to the Saccharomycopsis clade as defined on the basis of rDNA sequence relatedness. The 11 recognized species in the clade, plus three undescribed but related Candida species, were shown to be incapable of utilizing sulfate as sole source of sulfur, and all but two (Saccharomycopsis capsularis and Saccharomycopsis vini) were observed to penetrate and kill other yeasts under some conditions. Other unrelated sulfate transport-deficient yeasts (strains in the genera Pichia and Candida and the two known species of Starmera) are not predacious. The predacious species vary considerably as to the optimal environmental conditions that favour predation. Some are inhibited by the presence of rich nitrogenous nutrients, organic sulfur compounds, or higher concentrations of ammonium nitrogen, whereas other species may be stimulated under the same conditions. An attempt was made to correlate prey susceptibility to the excretion of substances that stimulate the growth of predators, but no correlation was detected between the two phenomena. The range of susceptible prey covers both ascomycetes and basidiomycetes, and includes Schizosaccharomyces pombe, which was previously thought to be immune. The achlorophyllous alga Prototheca zopfii is not killed by predacious yeasts, but the initial steps of penetration have been observed in some cases. Predacious species attack other predacious species, and in some cases, young cultures may penetrate older cultures of the same strain. 相似文献
97.
Chitta Kasyapa Ting‐Lei Gu Lalitha Natarajan Roberto Polakiewicz John K. Cowell 《Proteomics》2009,9(16):3979-3988
The ZNF198‐fibroblast growth factor receptor‐1 (FGFR1) fusion kinase is a constitutively activated tyrosine kinase associated with a specific atypical myeloproliferative disease. The chimeric protein localizes to the cytoplasm, unlike the wild type FGFR1 receptor kinase, and presumably inappropriately phosphorylates specific targets as part of the oncogenic signaling cascade. Other than known targets of the FGFR1 kinase itself, few specific targets of ZNF198‐FGFR1 have been identified. Using a genetically engineered HEK 293 cell system, we have identified proteins that are specifically phosphorylated in the presence of the fusion kinase using anti‐phosphotyrosine immunoprecipitation and MS. Compared with 293 cells expressing exongenous wild type FGFR1, ZNF198‐FGFR1 is associated with phosphorylation of several proteins including SSBP2, ABL, FLJ14235, CALM and TRIM4 proteins. The specificity of the phosphorylation events in the SSBP2 and ABL proteins, which have previously been implicated in leukemogenesis, was further confirmed independently using immunoprecipitation with protein‐specific antibodies and Western blotting. The MS analysis also identified the phosphorylation events in the ZNF198 moiety in the chimeric protein that might be related to its function. These studies identify the intersection of several different leukemia‐related pathways in the development of this myeloproliferative disorder and provide new insights into the substrates of FGFR1 under defined conditions. 相似文献
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99.
Zuo-Fei Yuan Shu Lin Rosalynn C. Molden Xing-Jun Cao Natarajan V. Bhanu Xiaoshi Wang Simone Sidoli Shichong Liu Benjamin A. Garcia 《Molecular & cellular proteomics : MCP》2015,14(6):1696-1707
Histone post-translational modifications contribute to chromatin function through their chemical properties which influence chromatin structure and their ability to recruit chromatin interacting proteins. Nanoflow liquid chromatography coupled with high resolution tandem mass spectrometry (nanoLC-MS/MS) has emerged as the most suitable technology for global histone modification analysis because of the high sensitivity and the high mass accuracy of this approach that provides confident identification. However, analysis of histones with this method is even more challenging because of the large number and variety of isobaric histone peptides and the high dynamic range of histone peptide abundances. Here, we introduce EpiProfile, a software tool that discriminates isobaric histone peptides using the distinguishing fragment ions in their tandem mass spectra and extracts the chromatographic area under the curve using previous knowledge about peptide retention time. The accuracy of EpiProfile was evaluated by analysis of mixtures containing different ratios of synthetic histone peptides. In addition to label-free quantification of histone peptides, EpiProfile is flexible and can quantify different types of isotopically labeled histone peptides. EpiProfile is unique in generating layouts (i.e. relative retention time) of histone peptides when compared with manual quantification of the data and other programs (such as Skyline), filling the need of an automatic and freely available tool to quantify labeled and non-labeled modified histone peptides. In summary, EpiProfile is a valuable nanoflow liquid chromatography coupled with high resolution tandem mass spectrometry-based quantification tool for histone peptides, which can also be adapted to analyze nonhistone protein samples.The nucleosome, the basic unit of chromatin, consists of 147 base pairs of DNA wrapped around histone proteins (H2A, H2B, H3, and H4). Histones play vital roles in chromatin, interacting with many signaling proteins and chromatin-structural proteins through various post-translational modifications (PTMs)1 (1–3). There are numerous PTMs on histones, including methylation (mono - me1, di - me2, tri - me3), acetylation (ac), phosphorylation (ph), ubiquitination, and SUMOylation (4). Histone PTMs can affect chromatin function, and therefore influence processes such as gene accessibility, DNA repair and chromosome condensation. Moreover, histone PTMs cross-talk in a synergistic manner to fine-tune gene expression (5). Therefore, quantification of histone PTMs has become a high priority to investigate cell regulation and epigenetics (6).Traditionally, antibody-based methods (e.g. Western blot) have been used to analyze histone modifications (7), which have multiple disadvantages. First, antibodies are not available for every new PTM discovered. Second, PTMs on neighboring amino acids (e.g. H3K9me1–3 and H3S10ph) may prevent antibody binding, a phenomenon called epitope occlusion. Third, the quantification of PTMs via antibody-based methods is not sensitive to small differences (e.g. <twofold). Mass spectrometry (MS) has emerged as a sensitive and efficient technique to detect known and novel PTMs (8). The high mass accuracy and the high speed of modern mass spectrometers allow for sensitive, confident, and accurate peptide quantification when coupled with nanoflow liquid chromatography (nanoLC).NanoLC-MS/MS analysis of protein digests (i.e. bottom-up MS) is nowadays a mature and widely applied technology. Data-dependent acquisition is the most commonly adopted MS acquisition method to identify peptides via bottom-up MS (9–12), generating MS1 and MS2 spectra. Nevertheless, histone proteins are particularly challenging to analyze by using the generalized bottom-up workflow. As histones are rich with lysines and arginines, tryptic digest of histones generates short peptides that are difficult to be retained on C18 columns. To improve histone peptide retention, the unmodified and mono-methylated lysines and peptide N terminus can be selectively chemically propionylated (13–16), preventing tryptic digest after lysine to generate longer peptides. Moreover, peptide identification through traditional database searches leads to a large number of false positives, as allowing several dynamic modifications (e.g. me1/me2/me3, ac, ph) dramatically increases the number of molecular candidates and thus the possibility to achieve a false hit (12). Therefore, software tools that quantify histone peptides require additional data to correctly map a given peptide, such as previous knowledge of peptide retention time.Quantification of histone peptides is particularly challenging because of presence of isobaric peptides, near isobaric PTMs such as tri-methylation (42.047 Da) and acetylation (42.011 Da), and low abundant species. Previous knowledge about relative peptide retention time (RT) enables differentiation between species close in mass and therefore selection of the correct peak for integration of the area of the chromatographic peak (i.e. area under curve or AUC). However, determination of peptide RT might be difficult because of their low abundance though acid extraction was performed to purify histones. This problem can be solved by using isotopically labeled synthetic histone peptides (17), or data independent approaches (18). When using relative retention time information to assign peak identities, reproducible nanoLC is crucial, especially because some isobaric peptides co-elute. In this case, the MS acquisition method must perform targeted MS2 for the co-eluting isobaric peptides at the specific time that they elute. These species can be discriminated and quantified based on the intensity of fragment ions unique to each species. For instance, the peptides KacSTGGKAPR (H3K9ac) and KSTGGKacAPR (H3K14ac) have the same mass and overlap at the nanoLC elution (the full protein sequence of human canonical histone H3 and H4 are shown in Fig. 1A). Thus, the co-eluting isobaric peptides could not be quantified separately based on the MS1 signal, but the unique fragment ions present in MS2 spectra allow them to be quantified individually.Open in a separate windowFig. 1.Histones are a challenge for quantitative mass spectrometry analyses.
A, Human histone H3.1 and H4 protein sequences. B, Spline fitting to calculate AUC: blue lines are the original peaks and pink lines are the fitted peaks. C, An example of isobaric PTM modified peptides. The above MS2 is matched with H3K18ac, and the same MS2 is also matched with H3K23ac below. D, The workflow of EpiProfile: inputting precursor m/z and charge state, extracting elution profiles, selecting the correct chromatographic peak, calculating AUC, and outputting quantification tables and figures.There have been few computational investigations attempting to solve the problem of quantifying co-eluting isobaric peptides. DiMaggio et al. used a mixed integer linear optimization (MILP) framework to quantify partially co-eluting isobaric histone peptides from electron transfer dissociation (ETD) spectra (19). The framework is comprised of two MILP models: (1) enumerating the entire space of the modified forms that satisfy a given peptide mass and (2) determining the relative composition of the modified forms in the spectrum. Another study by Guan et al. identified isobaric peptides by searching ETD MS/MS spectra for ions representing all possible configurations of modified peptides using a visual assistance program. The relative abundances of these species were estimated by using a nonnegative least squares procedure (20). Other quantification programs can also perform accurate peak picking, but are commonly not as suitable for heavily modified and isobaric histone peptides (e.g. Skyline) (21). These software programs are unable to provide the layouts of histone peptides (i.e. relative RTs) or discriminate all isobaric modified peptides, two tasks that are vital for full characterization of a histone sample.In this study, we developed a new quantification program named EpiProfile. EpiProfile extracts ion chromatography for known histone peptides by using previous knowledge about their elution profiles. Moreover, it discriminates and quantifies the isobaric histone peptides by resolving the linear equations listed with the peak heights of unique fragment ions between the two modification sites in the MS2 spectra (e.g. ions between H3K9ac and H3K14ac). We evaluated the accuracy of EpiProfile by mixing different ratios of synthetic histone peptides, and then tested EpiProfile by analyzing nanoLC-MS/MS data sets of the following samples: purified histones from HeLa cells, a synthetic histone peptide library, and histone peptides labeled during cell growth with 13C-labeled glucose media or stable isotope labeling by amino acids in cell culture (SILAC) (22). We compared EpiProfile to manual quantification of the data, and also with the openly available program Skyline. We found that manual quantification is obviously time-consuming and that Skyline cannot generate the layouts of histone peptides and cannot discriminate four or six-component isobaric peptides, a common occurrence in histone data. Moreover, EpiProfile is highly flexible, and thus it can be used to analyze various protein samples, including isotopically labeled peptides and nonhistone data sets. 相似文献
100.
Arthur Mpimbaza Scott Filler Agaba Katureebe Linda Quick Daniel Chandramohan Sarah G. Staedke 《PloS one》2015,10(6)
To assess different methods for determining cause of death from verbal autopsy (VA) questionnaire data, the intra-rater reliability of Physician-Certified Verbal Autopsy (PCVA) and the accuracy of PCVA, expert-derived (non-hierarchical) and data-driven (hierarchal) algorithms were assessed for determining common causes of death in Ugandan children. A verbal autopsy validation study was conducted from 2008-2009 in three different sites in Uganda. The dataset included 104 neonatal deaths (0-27 days) and 615 childhood deaths (1-59 months) with the cause(s) of death classified by PCVA and physician review of hospital medical records (the ‘reference standard’). Of the original 719 questionnaires, 141 (20%) were selected for a second review by the same physicians; the repeat cause(s) of death were compared to the original,and agreement assessed using the Kappa statistic.Physician reviewers’ refined non-hierarchical algorithms for common causes of death from existing expert algorithms, from which, hierarchal algorithms were developed. The accuracy of PCVA, non-hierarchical, and hierarchical algorithms for determining cause(s) of death from all 719 VA questionnaires was determined using the reference standard. Overall, intra-rater repeatability was high (83% agreement, Kappa 0.79 [95% CI 0.76-0.82]). PCVA performed well, with high specificity for determining cause of neonatal (>67%), and childhood (>83%) deaths, resulting in fairly accurate cause-specific mortality fraction (CSMF) estimates. For most causes of death in children, non-hierarchical algorithms had higher sensitivity, but correspondingly lower specificity, than PCVA and hierarchical algorithms, resulting in inaccurate CSMF estimates. Hierarchical algorithms were specific for most causes of death, and CSMF estimates were comparable to the reference standard and PCVA. Inter-rater reliability of PCVA was high, and overall PCVA performed well. Hierarchical algorithms performed better than non-hierarchical algorithms due to higher specificity and more accurate CSMF estimates. Use of PCVA to determine cause of death from VA questionnaire data is reasonable while automated data-driven algorithms are improved. 相似文献