Understanding Plant Sub-cellular (Organellar) Metabolome

Understanding Plant Sub-cellular (Organellar) Metabolome Abstract Dissection of organismal metabolomes into smaller subunits of life holds the potential to unravel the minuscule details of operative metabolic pathways and metabolic compartmentation at the sub-cellular level. Although metabolomes have been characterized at tissue, cellular, and cell-population types, little efforts have been put forth in sub-cellular metabolomes. In the post-genomic era, significant advances have been made in predicting plant protein and transcriptomic localization to subcellular organelles through computational approaches. For obvious challenges such as, difficulty in pure preparations of organelles, shared metabolites among them, and associated complicated regulations in them delimits the growth in this area. We summarize the recent efforts and progresses made in directions of understanding the plant sub-cellular (organellar) metabolomes. Keywords: organelle, plastid, mitochondria, vacuole, proteomics, nonaqueous fractionation, The metabolic compartmentation adds a complex dimension to subcellular metabolomes Systems biology approaches, including bioinformatics, genomics, transcriptomics, proteomics, and metabolomics have begun to contribute to our growing knowledge of cellular signaling and metabolism. However, the extensive and unique metabolic compartmentation is characteristic of eukaryotic cells, such as plant cells, thus rendering the analysis of compartmented metabolic networks complicated by virtue of separation and parallelization of pathways and intracellular transport (Wahrheit et al., 2011). Consequently, the study of plant cellular metabolomic networks becomes even more challenging (Toubian et al., 2013). Although the single cell and single-cell type metabolomics studies (Misra et al., 2014) bring in homogeneity in preparations to reflect on cellular (micro-metabolome) as the basic unit of life, the subcellular (nano-metabolome) pose a great deal of challenges for their investigation. Major plant subcellular structures include but are not limited to apoplast, cell plate, cell wall, endoplasmic reticulum and related structures, endosome, Golgi apparatus, microfilament, microtubule, mitochondrion, oil bodies, nucleus, peroxisome, plasma membrane, plastid and related structures, and vacuole. Metabolic pathways are highly segregated in different subcellular organelles (Browsher and Tobin, 2011). Undoubtedly, the compartmentalization of plant metabolites, add another complex dimension to principal regulatory aspects in plants, apart from the temporal dimensions. In addition, the diffusion of metabolites, the role of active transport by membrane-based transporters, and limitations in labeling and visualization of metabolites in cells render the localization even more difficult. Moreover, the genetic variation within these organelles have a widespread effect on the stochastic variation in primary metabolism with discrete impacts that differed from the organelle effect on the average metabolome (Joseph et al., 2015). As such, pathways of communication between v arious organelles of a plant cell are quite complex and interdependent, for example the rampant signaling between organelles such as chloroplasts and nuclei (Jung and Chory, 2009). Thus efforts to understand their individual metabolites would aid in understanding of these complex regulatory exchanges, in addition to what is established at the levels of transcripts and proteins. Omics-based approaches in identifying subcellular functionalities are powerful resources There have been considerable efforts to catalog the information content in organelles starting from imaging based approaches to omics-based systems biology perspectives. For instance, the aim of the plant organelles database (http://podb.nibb.ac.jp/Organellome) is to promote the understanding of organelle dynamics such as organelle function, biogenesis, differentiation, movement and interactions with other organelles (Mano et al. 2013). Although, genomics-based efforts are much more prevalent. Such as a unique database of RNA-editing sites found in plant organelle genes with the results mapped onto amino acid sequences and 3D structures (Yura et al. 2009) are available. In addition, to catalog fluorescent protein expression, public repositories such as the Maize Cell Genomics (MCG) database, (http://maize.jcvi.org/cellgenomics) have bene developed that represents major subcellular structures and also developmentally important progenitor cell populations (Krishnakumar et al., 2014). A nother noteworthy approach was the use of subcellular organelle expression microarray to study the organic acid changes in post-harvest Citrus fruit (Sun et al., 2013) and organelle membrane proteome during germination and tube growth of lily pollen (Pertl et al., 2009). In addition, proteomics efforts have revealed secretome, extracellular matrix, cell wall (14), vacuoles, plastids, and peroxisomes-specific changes in plants are catalogued (Liley and Dupree, 2007; Dai and Chen, 2012). Similarly, proteomics-based approaches for characterization of seed proteomes have been reviewed recently (Repetto and Gallardo, 2012). Rapid subcellularfractionationin combination with targeted proteomics allowed for measuring subcellularproteinconcentrations in attomole per 1000cells of Chlamydomonas reinhardtii (Weinkeeop et al., 2010). The importance of the spatial resolution of plant cellular metabolomes have been realized (Sumner et al., 2011). However, such efforts and databases are missing for plant subcellular metabolomes. Recently, the need for understanding the challenges in cellular compartmentalization for successful plant metabolic engineering was identified (Heining et al., 2013). The enrichment of other omics-based subcellular localization tools would allow understanding of the metabolic pathways operative in them for tinkering them for commercial success. Some widely used computational approaches for proteome level assignment of localization include, Some widely used prediction programs are: TargetP, http://www.cbs.dtu.dk/services/TargetP/, Predotar,http://www.inra.fr/predotar/, iPSORT, http://hc.ims.u-tokyo.ac.jp/iPSORT/, and SubLoc, http://www.bioinfo. tsinghua.edu.cn/SubLoc/, etc. For example, LocDB is a manually curated database with experimental annotations for the subcellular localizations of proteins inA. thaliana (Rastogi and Rost, 2011). Recently, the Peroxisome database (http://www.peroxisomeDB.org) was released which serves as a huge resource for cross-lineage comparison of functiona l genomic and metabolomic information on organisms such as fungi, yeasts, plants, human and lower eukaryotes, with an ensemble of 139 peroxisomal protein families and ~2706 putative peroxisomal protein homologs (Schlà ¼ter et al., 2010). On the other hand, databases such as SUBA (Heazlewood et al.,2007) are excellent inventories of subcellular compartmentation supported by experimental evidence mainly drawn from organellar proteome studies, which enable the integration of experimentation and prediction (Tanz et al., 2012). In the AraGEM genome-scale model ofArabidopsismetabolism the vast majority of reactions are assigned to the cytosol (1265 reactions in the cytosol, with 60, 159, and 98 reactions assigned to mitochondria, plastid, and peroxisome, respectively) (de Oliveira DalMolin et al.,2010). However, there are no available collage of information on subcellular metabolomes of plants to our knowledge, and hence this effort. Plant subcellular metabolome studies revisited: non-aqueous fractionation (NAF) methods There has bene several successful attempts at obtaining the qualitative and quantitative snap shots of sub-cellular metabolomes in plants. These efforts relied on fractionation of the or isolation of pure organelles followed by characterization of the metabolomes by gas chromatography mass-spectrometry (GC-MS), liquid chromatography- mass spectrometry (LC-MS) among other approaches. Cell fractionation and immunohistochemical studies in the last 40 years have revealed the extensive compartmentation of plant metabolism from protein-based information (Lunn, 2007). Majority of the classical studies in compartmentation of plant metabolism focused on plastids, mitochondria, and vacuole and reflected on their structural and functional heterogeneity operative primary metabolic (photosynthesis, respiratory etc.) pathways (Lunn, 2007, Bowsher and Tobin, 2011). Plastids are involved in carbon and nitrogen metabolism, in particular nitrate and ammonium assimilation, the Calvin cycle, oxidative p entose-phosphate pathway, glycolysis, and terpenoid biosynthesis, and these have been reviewed from a metabolic perspective (Tobin and Bowsher, 2005). Thus plastidial proteomics have interested researchers for a long time (van Wijk and Baginsky, 2011). Analysis of the chloroplast proteome confirmed indicated biosynthesis of fatty acids, lipids, amino acids, nucleotides, hormones, alkaloids, and isoprenoids, Calvin cycle enzymes and proteins belonging to the light-harvesting apparatus and photosynthetic electron transport chain (van Wijk, 2004). Protoplast fractionation in combination with enzymatic determination of metabolites has been widely used to quantify a subset of metabolites like adenylates, phosphorylated sugars and Calvin cycle intermediates in different compartments(Kueger et al., 2012). The metabolomes of highly purified barley vacuoles isolated from mesophyll cell protoplasts by silicon oil centrifugation revealed the presence of 59 primary metabolites and ~200 secondar y metabolites by GC-MS and FT-MS (Fourier transform-mass spectrometry) such as amino acids, organic acids, sugars, sugar alcohols, shikimate pathway intermediates, vitamins, phenylpropanoids, and flavonoids, of which 12 were found exclusively in the vacuole (Tohge et al., 2011). Similarly, a single vacuole of single cell of the alga Chara australis revealed the localization and dynamics of 125 known metabolites(Oikawa et al., 2011). In plants, vacuoles are known for detoxification of xenobiotics (Coleman et al., 1997). In addition, the analysis of subcellular metabolite levels of potato tubers (Solanum tuberosum) indicated that either the cytosol or apoplast leads to a decrease in total sucrose content and to an increase in glucose and hexoses accumulate in the vacuole independently of their site of production (Farre et al., 2008). Furthermore, in the medicinal plant Catharanthus roseus, LC-MS analysis of the phenols from isolated leaf vacuoles detected the presence of three caffeoy lquinic acids and four flavonoids(Ferreres et al., 2010). Another example of the use of vibrational (Raman) spectroscopy in metabolomics was exemplified in the localization of ÃŽ ²-carotene by its 1150 and 1515 cm−1 Raman bands with subcellular resolution (~550 nm per pixel) in the cells of alga Euglena gracilis. Complementary single-cell MS data were also recorded which indicated the colocalization of ÃŽ ²-carotene and the plastids containing internal antennae of photosystem II (Urban et al., 2011). Non-aqueous fractionation (NAF) is the most widely used method for studying metabolite pool sizes at a subcellular level in plants(Kueger et al., 2012), where NAF method is based on the enrichment of compartments within a continuous non-aqueous density gradient instead of purifying individual intact organelles. This method is associated with true metabolomics studies allowing the subcellular localization of a large number of metabolites to be analyzed in parallel (Farre et al., 2001, Krueger et al., 2011). Assessment of metabolome compartmentation of soybean leaves using non-aqueous fractionation by GC-MS of about 100 compounds indicated a greater number of compounds identified in vacuole when compared to cytosol or stroma (Benkeblia et al., 2007). Furthermore, the NAF method allowed the identification and quantification of the subcellular distributions of metabolites in developing potato (Solanum tuberosumL. cv Desiree) tubers which revealed that ~60% of most sugars, sugar alcohols, organic acids, and amino acids were found in the vacuole, the substrates for starch biosynthesis, hexose phosphates, and ATP were found in the plastid, while pyrophosphate was located almost exclusively in the cytosol (Farrà © et al., 2011). Similarly, in A. thaliana leaves, using NAF methods about 1,000 proteins and 70 metabolites, including 22 phosphorylated intermediates were separated into plastidial, cytosolic, and vacuolar metabolites and proteins which indicated that cytosolic, mitochondrial, and peroxisomal proteins clustered together. Metabolites from the Calvin–Benson cycle, photorespiration, starch and sucrose synthesis, glycolysis, and the tricarboxylic acid cycle grouped with their associated proteins of the respective compartment, indicating NAF as a powerful tool for the study of the organellar, and in some cases sub-organellar, distribution of proteins and their association with metabolites. Unfortunately, organelles extracted from whole tissue homogenates are generally originated from a range of cell types (Bowsher and Tobin, 2001), but from specific organs such as leaves. However, the single largest study depicting the compartmentalized A. thaliana metabolome (Krueger et al., 2011), revealed the subcellular distribution of 1,117 polar and 2,804 lipophilic mass spectrometric features associated to known and unknown compounds. In conjunction with GC-MS and LC-MS-based metabolite profiling, 81.5% of the metabolic data could be associated to one of three subcellular compartments: the cytosol (including mitochondria), vacuole, or plastids. Nonetheless, the authors conceded that localizations of several known metabolites and structurally undetermined compounds (unknowns) were difficult to unambiguously explain on the basis of three compartments due to either unresolved compartments, or the interconnections of subcellular metabolic networks. Advances in mass spectrometry based lipidomics have enabled the simultaneous identification and quantification of lipid species from complex structures at the tissue, cellular and organelle resolution levels (Horn and Chapman, 2012). The authors showed that at the nano scale, ‘direct organelle MS’ (DOMS) holds immense potential to profile lipids at the organelle level by extracting lipids from organelles in isolation, or from intact cells, within a capillary tip, followed by their identification and quantification using direct-infusion nanospray MS. Furthermore, it was underscored that fluorescent protein technology can be used to image subcellular dynamics of plant cell organelles at a spatial and temporal resolution, and to manipulate the distribution of fluorescent markers to identify the genes responsible for the inner activities of plant cells by means of light microscopy alongside genomics (Sparkes and Brandizzi, 2012). Conclusion and future prospects Although used in most instances, NAF is static, invasive, has no cellular resolution, and is sensitive to artifacts. (Looger et al., 2005), validation of NAF technique is understood to hold the key for successful implementation (Klie et al., 2011). Spectroscopic methods such as nuclear magnetic resonance (NMR) imaging and positron emission tomography (PET) provide dynamic data, but poor spatial resolution. Thus, genetically encoded fluorescence resonance energy transfer(FRET) sensors (i.e., green florescence protein (GFP)-based, enzyme based etc.) have been proposed for visualizing metabolites with subcellular resolution (Looger et al., 2005). Flux-balance modeling of plant metabolic networks provides an important complement to13C-based metabolic flux analysis. Recently, several flux-balance models of plant metabolism have been published including genome-scale models ofA. thaliana metabolism (Sweetlove and Ratcliffe, 2011). Approaches for flux balance analysis have been reviewed else where (Lee et al., 2011; Lakshmanan et al., 2012). To achieve greater insights into metabolic fluxes across subcellular metabolomes several flux analyses tools are available, such as FiatFlux (Zamboni et al., 2005), OpenFLUX (Quek et al., 2009) that are based on 13C-based analysis, OptFlux (Rocha et al., 2010), FluxAnalyzer (Klamt et al., 2013), YANA (Schwarz et al., 2005). Model SEED, FAME, and MetaFlux have included several routines to facilitate the reconstruction of genome-scale metabolic models (Lakshmanan et al., 2012). NAF methods for obtaining subcellular fractions allows direct quenching of metabolism by snap-freezing in liquid nitrogen, thus, the combination of NAF with metabolic flux analysis using13C labeled CO2is a very attractive approach for the future (Keuger et al., 2012). On the other hand, MALDI associated secondary ion mass spectrometry (SIMS) imaging, on research-grade MALDI-MS instruments, MSI is possible with a spatial resolution of

Albert Einstein

He later moved to Italy where he got kicked UT of school because he was setting a bad example to other students despite his fascination in Math. After leaving school he decided to become a math teacher to support him in his studies of math and physics. In 1896 he entered the Swiss Federal Polytechnic School in Zurich, Switzerland to train to become a teacher in physics and mathematics. He failed the first attempt but passed the next year and gained his diploma, and accepted a position as a technical assistant in the Swiss Patent Office.In 1905 he obtained his doctors degree, ND was also the year he published four of his most influential research papers. One including his world famous equation e=Mac that unlocked mysteries of the universe unknown. Later in 1914 he was appointed Director of the Kaiser Wilhelm Physical Institute and became professor in the University of Berlin. Ten years later in 1915 Einstein completed his general theory of relativity, and in 1921 he was awarded the no ble peace prize for Physics. It launched him international fame and he was thought a genius all over the world.Later on in 1933 Einstein immigrated to America to become professor of Theoretical Physics at Princeton. He became a United States Citizen in 1940 and then retired in 1945. Einstein then died on April 18, 1955 at the age of 76, and donated his brain and vital organs to scientific study. Albert Einstein has several Scientific Contributions one of which is the Quantum Theory. He suggested that light doesn't travel in waves but as electric currents; from his theory inventors were able to develop television and movies.

Essay on The Dangers of Democracy

Essay on The Dangers of Democracy In a democratic political system, the ultimate power is before a body of citizens who has the power to elect their representatives. At one point, James Madison described American democracy, in comparison to that of Athens, as â€Å"lies in the entirety segregation of the people in their collective capacity.† Thus, Madison feared that common factions turn tyrannical, hence threatening liberty. On the other hand, Centinel argued that the government should not be taken away from the people, as this lead to oppressive to their liberty as well as unresponsive to their needs. According to my viewpoint, I concur with Madison that too much democracy is dangerous. Thus, there is need to control the degree of democracy in political governance. The paper will be focusing on evaluating why too much democracy can be dangerous, and the precautions that should be undertaken to respond to the primary danger without falling to the other dangerous tendency. Democratic form of government accords people an added advantage as it incorporates their ideas into the system of governance. However, despite this advantage, foolish notions can seize it (Kishore 1-5). Any organization in which democracy rules i.e. Majority of members or citizens can pass rules and laws, which suit them, without considering other group members who must adapt to the laws and rules they enact. Judgment is crucial in distinguishing laws, which are reasonable and sensible, from those that are undemocratic, as they are unnecessary, intolerable, and unfair to the minority that oppose them thus impeaching their liberty. Therefore, formal procedure should be set in place to prevent implementation of oppressive laws, as judgment in such matters may fail due to use of majority rule i.e. democracy. Democratic forms of governance do not allow for an efficient functioning of the government. Precisely, democratic governments strive for independence through the division of the various government arms i.e. the executive, the judiciary, and the legislative. Such a distinction limits the possibility of arbitrary excesses by the government. The sanction of all the three branches is essential in making, executing and administering of laws and policies. Moreover, none of the above-mentioned branches of a democratic form of national governance can function independently from each other (Ebony, 99-103). For example, in the United States, the congress, which is the legislative arm, has an impeachment body to check on the executive arm i.e. the president (can also be legislative due to the veto power). Furthermore, Separation of powers inevitably means split of responsibility, which leads to friction amongst the separated organs at the expense of cultivating cooperation for the mutual benefi t of all. The other possible danger of too much democracy is the possibility of making wrong choices. According to the principles of democracy, the common man has all the powers or rather rights to elect their government as well as their main authorities. However, too much of these powers can sometimes be dangerous based on various reasons. For instance, it is evident that not all the people are aware of the political conditions in their country (Kishore, 1-5). Additionally, majority of the common people are not familiar political issues affecting their society. Thus, there is a danger of making wrong choices during elections, which in turn bring into power individuals who are likely to misuse the rule of democracy. Without the right people in the government, development in all perspectives would be difficult. As such, certain measures should be put into place to ensure that the common people do not misuse their supreme democratic powers by making wrong choices. However, a number of arguments have been put forward against the idea of removing the government too far from the people, or rather having a political system with too little democracy. One of these arguments is that the constitution acts as a safeguard in shielding citizen’s rights in most of democratic countries. Based on this argument, changing the constitution requires agreement of majority of the representatives of the people whom they elected. It can also be done through the court, if the court believes that there is need for such changes for the benefit of the people collectively (Ebony, 120-123). The other way through which the constitution can be changed is through a referendum, where the everybody in the country is entitled to give opinions regarding the proposed changes. Additionally, separation of powers into the judicial branch, the legislative branch, and the executive branch, impose considerable challenges for a small majority to enforce their will. The second argument that has been highlighted by the proponents of too much democracy against limitation of democracy is that minorities and majorities can take distinctly different shape on diverse matters. It is evident that individuals would agree with the viewpoints of the majority on some issues, as well as with the minority on some other issues. Besides, the views of most people keep on changing depending on circumstances (Guiner, 34-37). As such, members of the majority may not advocate for the coercion of the minority, simply because they may form part of the minority in the future and the same thing night happen to them. Lastly, it is also argued that regardless of the risks of the tyranny of the majority, the rule of majority is the most preferred system as compared to other systems. Besides, tyranny of the majority is considered as being an upgrading of the tyranny of the minority (William and Theodore, 123-129). Arguably, most of the above mentioned problems of the tyrann y of the majority or rather too much democracy can also be witnessed in less democracies, adding to the problem of oppression of the majority by the minority. According to the advocates of democracy, studies indicate that more democracy reduces mass killing by the government as well as internal violence. In conclusion, there is no doubt that a democratic political system has its advantages. However, too much democracy can be dangerous, as once said by James Madison. Regardless of the arguments that have been put forward by the proponents of democracy against limitation or control of democracy, I believe that there is need to set limits of democracy in any given country. One of the arguments for limitation of democracy is that the tyranny of the majority may agree to oppression of the minority groups. Besides, separation of powers among the various branches may limit efficient functioning of the government. Finally, there is a possibility of the majority making wrong choices as far as governance is concerned. Therefore, there is need to control democracy to avoid emergence of the tyranny of the majority. Work cited Ebony, Lauren. The Tyranny of the Majority: Black Activism and the Boston School Committee, 1963-1973. Ohio: Ohio State University (2007). Guiner,Lani. The Tyranny of the Majority: Fundamental Fairness in Representative Democracy. Boston: Free Press. (2006). Kishore, Mahbubani. Journal on ethics international affairs. 23.1(2009): 1-5. Print. William, L Ransom and Theodore Roosevelt. Majority Rule and the Judicially: An examination of the Current Proposals for Constitutional Change Affecting the Relation of Courts. New York: The Lawbook Exchange Ltd. (2008).

American Indians And Europeans Americans - 958 Words

American Indians verses Europeans Europeans came over to America in 1492 changing the way the Natives lived forever. These natives were living peaceful and happy lives. The Europeans came over to these innocent people’s land who were minding their own business; calling them savages, killed their people, and destroying the perfect lives they once had. There are many accounts recorded on how the Indians and Europeans felt about the discovery of America. The Natives believed they had a very sophisticated society before the Europeans showed up; but the Europeans believed the natives did not know how to live and that they need their help to learn how to live the â€Å"correct† and â€Å"godly† way. With these in mind there is no way these two cultures could live in harmony unless they both decided to learn from one another. The problem with this is the Europeans never gave the natives the chance to have their own beliefs and the Natives could never teach the Europeans what they knew because the Europeans believed everything the natives did was wrong. The Europeans believed the Indians were lazy, non-deserving savages who were on land that was â€Å"given† to the Europeans by God. They thought that God had taken them to the new land because they were running out of resources in Europe. The Europeans saw the Natives as a resource along with everything they had on the new land. â€Å"I understood sufficiently from other Indians, whom I had already taken that this land was nothing but an island†Show MoreRelatedEuropean And American Indian Interactions2376 Words   |  10 Pages24000 European and American Indian Interactions The dominant themes of early European and American Indian interactions were trade, warfare, and religion. 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