156 results on '"Kretzschmar T"'
Search Results
2. CerS2 ko in vivo reduces pro-inflammatory ceramides and improves doxorubicin mediated cardiotoxicity
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Kretzschmar, T, primary, Bekhite, M, additional, Gruen, K, additional, Mueller, T, additional, Graeler, M, additional, Nietzsche, S, additional, Westermann, M, additional, and Schulze, P C, additional
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- 2023
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3. Soil Erosion and Significance for Carbon Fluxes in a Mountainous Mediterranean-Climate Watershed
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Smith, S. V., Bullock, S. H., Hinojosa-Corona, A., Franco-Vizcaíno, E., Escoto-Rodríguez, M., Kretzschmar, T. G., Farfán, L. M., and Salazar-Ceseña, J. M.
- Published
- 2007
4. Kynurenine as a potential biomarker in detecting reduced muscle endurance: metabolomic profiling of patients with heart failure and exercise intolerance
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Bekfani, T, primary, Bekhite, M, additional, Neugebauer, S, additional, Derlien, S, additional, Hamadanchi, A, additional, Haase, D, additional, Kretzschmar, T, additional, Wu, M.F, additional, Lichtenauer, M, additional, Kiehntopf, M, additional, Von Haehling, S, additional, Braun-Dullaeus, R.C, additional, Franz, M, additional, Moebius-Winkler, S, additional, and Schulze, P.C, additional
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- 2021
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5. Doxorubicin induced cardiotoxicity is mediated by increased CerS2 expression and ceramide accumulation in vitro and in vivo
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Kretzschmar, T, primary, Wu, J M F, additional, Bekhite, M, additional, Gruen, K, additional, Bogoviku, J, additional, Mueller, T, additional, Graeler, M, additional, Franz, M, additional, and Schulze, P C, additional
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- 2021
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6. Inhibition of ceramide synthesis improves the outcome in ischemia/reperfusion injury using human-induced pluripotent stem cell derived cardiomyocyte
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Haxhikadrija, P, primary, Bekhite, M, additional, Kretzschmar, T, additional, Wu, J, additional, Maloku, A, additional, Mueller, T, additional, Graeler, M, additional, Franz, M, additional, and Schulze, C, additional
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- 2021
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7. Thermal and Hydrological Regional Characterisation of Los Humeros and Acoculco Using Modelling Methods -H2020 GEMex Project
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Bonté D.[1], Limberger J.[1, Gola G.[3], Trumpy E.[3], Giordano G.[4], Kretzschmar T.[5], and van Wees J.D.[1
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numerical modelling ,thermal structure ,hydrogeology ,Mexico - Abstract
The GEMex project is a collaborative effort between Mexican and European research institutes to develop the understanding of Enhanced Geothermal Systems (EGS) and SuperHot Geothermal Systems (SHGS). For this purpose, two volcanic sites have been selected: Los Humeros and Acoculco. Both sites are volcanically active or have experienced volcanic activity recently, including caldera formation at some point in their history. In Acoculco, the recently published work of Avellán et al. (2018) show the latest knowledge on the evolution of the volcanic system. In Los Humeros, Carrasco-Núñez et al. (2017) present a reinterpreted history of the whole system. However, while Los Humeros has experienced strong hydrothermal activity, Acoculco is presently considered as a dry system. In the frame of this GEMex project thermal models have been developed for both sites and a hydrothermal model in Los Humeros. The thermal models rely on 3D geological models, also developed in GEMex and information such as rock properties (also being acquired within GEMex) and temperature data (limited in Acoculco and more extensive but regrouped in Los Humeros). In Los Humeros, a fast and efficient thermal modelling methodology was applied, considering the regional heat source and advection related to regional groundwater flow and local high permeability zones. The hydrogeology in Los Humeros has been specifically modelled based on groundwater flow in the limestone basement, taking into consideration the heat source below the volcanic system. In Acoculco, given the scarce temperature information available, work has focused on investigating the geometry of the heat source and the resulting thermal structure. Results from geological and thermal model coupled with petrophysic rocks properties are used for the resources assessment of the two sites. A common computation, based on volume method, was applied on both areas in order to obtain the thermal energy stored in the underground (Heat in Place). A better understanding of the nature of the Los Humeros and Acaculco geothermal systems is key for sustainable and safe production and for future geothermal exploration and development.
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- 2021
8. Methodology: ssb-MASS: a single seed-based sampling strategy for marker-assisted selection in rice
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Arbelaez, J.D., Tandayu, E., Reveche, M.Y., Jarana, A., van Rogen, P., Sandager, L., Stolt, P., Ng, E., Varshney, R.K., Kretzschmar, T., Cobb, J., Arbelaez, J.D., Tandayu, E., Reveche, M.Y., Jarana, A., van Rogen, P., Sandager, L., Stolt, P., Ng, E., Varshney, R.K., Kretzschmar, T., and Cobb, J.
- Abstract
Background Integrated breeding approaches such as combining marker-assisted selection and rapid line fixation through single-seed-descent, can effectively increase the frequency of desirable alleles in a breeding program and increase the rate of genetic gain for quantitative traits by shortening the breeding cycle. However, with most genotyping being outsourced to 3rd party service providers’ nowadays, sampling has become the bottleneck for many breeding programs. While seed-chipping as prevailed as an automatable seed sampling protocol in many species, the symmetry of rice seeds makes this solution as laborious and costly as sampling leaf tissue. The aim of this study is to develop, validate and deploy a single seed sampling strategy for marker-assisted selection of fixed lines in rice that is more efficient, cost-effective and convenient compared to leaf-based sampling protocols without compromising the accuracy of the marker-assisted selection results. Results Evaluations replicated across accessions and markers showed that a single rice seed is sufficient to generate enough DNA (7–8 ng/μL) to run at least ten PCR trait-markers suitable for marker-assisted selection strategies in rice. The DNA quantity and quality extracted from single seeds from fixed lines (F6) with different physical and/or chemical properties were not significantly different. Nor were there significant differences between single seeds collected 15 days after panicle initiation compared to those harvested at maturity. A large-scale comparison between single seed and leaf-based methodologies showed not only high levels of genotypic concordance between both protocols (~ 99%) but also higher SNP call rates in single seed (99.24% vs. 97.5% in leaf). A cost–benefit analysis showed that this single seed sampling strategy decreased the cost of sampling fourfold. An advantage of this approach is that desirable genotypes can be selected before investing in planting activities reducing the cost associat
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- 2019
9. Bypassing hybridoma technology: HLA-C reactive human single-chain antibody fragments (scFv) derived from a synthetic phage display library (HuCAL) and their potential to discriminate HLA class I specificities
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Marget, M., Sharma, B. B., Tesar, M., Kretzschmar, T., Jenisch, S., Westphal, E., Davarnia, P., Weiss, E., Ulbrecht, M., Kabelitz, D., and Krönke, M.
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- 2000
10. Hydrological modeling of climate change impacts in a Tropical River Basin: A case study of the Cauto River, Cuba
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Montecelos-Zamora, Y. Cavazos, T. Kretzschmar, T. Vivoni, E. R. Corzo, G. Molina-Navarro, E. and Montecelos-Zamora, Y. Cavazos, T. Kretzschmar, T. Vivoni, E. R. Corzo, G. Molina-Navarro, E.
- Abstract
The soil and water assessment tool (SWAT) model was applied for the first time in Cuba to assess the potential impacts of climate change on water availability in the Cauto River basin. The model was calibrated (and validated) for the 2001–2006 (2007–2010) period at a monthly timescale in two subbasins La Fuente and Las Coloradas, representative of middle and upper sections of the Cauto basin; the calibrated models showed good performance. The output available for the regional climate Model RegCM4.3 was used to force the calibrated SWAT models to simulate a baseline (1970–2000) period and near-future (2015–2039) hydrologic regimes under the representative concentration pathway (RCP) 8.5 emission scenario. The future projections suggest regional increases of 1.5 °C in mean annual temperature and a 38% decrease in mean annual precipitation in the subbasins. These changes translate to possible reductions in the annual streamflow of up to 61% with respect to the baseline period, whereas the aquifer recharge in the basin is expected to decrease up to 58%, with a consequent reduction of groundwater flow, especially during the boreal summer wet season. These projection scenarios should be of interest to water resources managers in tropical regions.
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- 2018
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11. CRISPR-Cas9 and CRISPR-Cpf1 mediated targeting of a stomatal developmental gene EPFL9 in rice
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Yin, X., Biswal, A.K., Perdigon, K.M., Balahadia, C.P., Mazumdar, S., Chater, C., Dionora, J., Lin, H.C., Coe, R.A., Kretzschmar, T., Gray, J.E., Quick, P.W., and Bandyopadhyay, A.
- Abstract
KEY MESSAGE: CRISPR-Cas9/Cpf1 system with its unique gene targeting efficiency, could be an important tool for functional study of early developmental genes through the generation of successful knockout plants. \ud \ud The introduction and utilization of systems biology approaches have identified several genes that are involved in early development of a plant and with such knowledge a robust tool is required for the functional validation of putative candidate genes thus obtained. The development of the CRISPR-Cas9/Cpf1 genome editing system has provided a convenient tool for creating loss of function mutants for genes of interest. The present study utilized CRISPR/Cas9 and CRISPR-Cpf1 technology to knock out an early developmental gene EPFL9 (Epidermal Patterning Factor like-9, a positive regulator of stomatal development in Arabidopsis) orthologue in rice. Germ-line mutants that were generated showed edits that were carried forward into the T2 generation when Cas9-free homozygous mutants were obtained. The homozygous mutant plants showed more than an eightfold reduction in stomatal density on the abaxial leaf surface of the edited rice plants. Potential off-target analysis showed no significant off-target effects. This study also utilized the CRISPR-LbCpf1 (Lachnospiracae bacterium Cpf1) to target the same OsEPFL9 gene to test the activity of this class-2 CRISPR system in rice and found that Cpf1 is also capable of genome editing and edits get transmitted through generations with similar phenotypic changes seen with CRISPR-Cas9. This study demonstrates the application of CRISPR-Cas9/Cpf1 to precisely target genomic locations and develop transgene-free homozygous heritable gene edits and confirms that the loss of function analysis of the candidate genes emerging from different systems biology based approaches, could be performed, and therefore, this system adds value in the validation of gene function studies.
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- 2017
12. DNA Gynotyping for Assessing Variety Area Estimates based on Farmer Identification: Case of Rice in Bangladesh
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Yamano, T., Malabayabas, M.L., Habib, M.A., Das, S.K., Hueglas, Z., Carino, G., and Kretzschmar, T.
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Research and Development/Tech Change/Emerging Technologies - Published
- 2017
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13. DNA Fingerprinting for Variety Identification and its implications to Area Estimate and Adoption Studies: Case of Submergence-tolerant Rice in Bangladesh
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Yamano, T., Hueglas, Z., Habib, M.A., Das, S.K., Malabayabas, M.L., Kretzschmar, T., Carino, G., and Reveche, M.Y.
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Research and Development/Tech Change/Emerging Technologies ,food and beverages ,respiratory tract diseases - Abstract
Farmers in developing countries rarely know true variety names of crops they grow. In this paper, we identify rice variety identity with DNA fingerprinting by using an advanced gynotyping technique of 1,302 rice seed samples collected from total of 544 farmers in Bangladesh in 2014 and 2015. To identify farmers’ varieties, we compare the DNA information of farmers’ seeds against three DNA data sources: Bangladesh breeder seeds, Indian breeder seeds, and IRRI gene resources which include previously collected improved and traditional rice varieties. In particular, our analysis includes identification of submergence-tolerant rice varieties which have been developed and distributed in Bangladesh in recent years. The results indicate that about 7% of the seed samples were identified as submergence-tolerant rice varieties, i.e., BR11-Sub1 (5%) and Swarna-Sub1 (2%). Other modern varieties were also identified by DNA fingerprinting. Farmers’ identification of varieties was found poor, especially on old varieties. Simple adoption models indicate that the estimation results are unreliable when farmers’ ability to identify varieties is poor.
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- 2017
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14. DNA Gynotyping for Assessing Variety Area Estimates based on Farmer Identification: Case of Rice in Eastern India
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Veettil, P.C., Gupta, I., Yamano, T., Hueglas, Z., Carino, G., and Kretzschmar, T.
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Research and Development/Tech Change/Emerging Technologies - Published
- 2017
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15. P4733Growth factors and atrophy-related genes are highly expressed in patients with HFpEF and are associated with elevated BNP and reduced exercise capacity and quality of life
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Bekfani, T, primary, Bekhite Elsaied, M, additional, Derlien, S, additional, Hamadanchi, A, additional, Froeb, E, additional, Nisser, J, additional, Kretzschmar, T, additional, Haase, D, additional, Smolenski, U C, additional, Lehmann, G, additional, Wolf, G, additional, Moebius-Winkler, S, additional, and Schulze, P C, additional
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- 2018
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16. P4228Metabolomic profiles and transcriptional changes during early and late differentiation of cardiomyocytes derived from human induced pluripotent stem cells
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Elsaied, M B, primary, Delgado, A G, additional, Kretzschmar, T, additional, Greber, B, additional, and Schulze, P C, additional
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- 2018
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17. P4226Metabolomic profiles of human cardiomyocytes derived from induced pluripotent stem cells under diabetic conditions
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Elsaied, M B, primary, Delgado, A G, additional, Kumar, A, additional, Greber, B, additional, Graeler, M, additional, Kretzschmar, T, additional, and Schulze, P C, additional
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- 2018
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18. 5216Prognostic impact of serum metabolomic profiling of patients with heart failure with reduced ejection fraction
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Pistulli, R, primary, Neugebauer, S, additional, Kretzschmar, T, additional, Kretzschmar, D, additional, Heidecker, B, additional, Franz, M, additional, Kiehntopf, M, additional, and Schulze, P C, additional
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- 2018
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19. 127-7: The Genomic Open-Source Breeding Informatics Initiative (GOBII) - a Gates Foundation Initiative to Transform Breeding through the Use of Genomic Selection
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Jones, E., Gao, S., Nti-Addae, Y.A., Varshney, R.K., Dreher, K., Kretzschmar, T., Olsen, M., McCouch, S.R., Robbins, K.R., Jones, E., Gao, S., Nti-Addae, Y.A., Varshney, R.K., Dreher, K., Kretzschmar, T., Olsen, M., McCouch, S.R., and Robbins, K.R.
- Abstract
The Genomic and Open-Source Breeding Informatics Initiative (GOBII) is a Bill and Melinda Gates funded project with the mission to implement genomic and marker assisted selection as part of routine breeding programs for staple crops in the developing world. We believe that much of the gains that have been achieved by major ag-biotech companies can also be achieved in developing countries through the adoption of data management systems and bioinformatics pipelines that aid breeding decisions. Cornell University and the Boyce Thompson Institute in Ithaca, NY are partnering with agricultural research centers in Mexico, India and the Philippines to make these data management and genomic selection pipelines available to everyone. The first step in this process has been to develop a genomic database management system that is highly searchable and flexible enough to be used across different crops profiled with diverse marker and sequence-based platforms. The source-code for this system is available at: https://github.com/gobiiproject. We are now working to connect information across adjacent data management systems using breeding specific APIs (BrAPIs: http://docs.brapi.apiary.io) so that breeders will be able to access data from a single entry point. In addition, we are helping to drive a change in breeding practices by coordinating use-cases for genomic selection, connecting existing analysis pipelines, and developing new analysis tools where gaps exist. Our goal is to help breeders in the developing world increase the rates of genetic gain over time through adoption of genomic selection techniques.
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- 2017
20. Investigation of the rubber-metal bonding system by means of analytical electron microscopy and comparison with results of technical tear strength measurements
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Kretzschmar, T., Hummel, K., Hofer, F., Grogger, W., and Grubbauer, G.
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- 1994
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21. P164Serum metabolomic profiling of patients with heart failure with reduced ejection fraction reveals differences between ischemic and dilated cardiomyopathy
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Pistulli, R., primary, Neugebauer, S., additional, Kretzschmar, D., additional, Rohm, I., additional, Kretzschmar, T., additional, Kiehntopf, M., additional, and Schulze, P.C., additional
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- 2017
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22. Search for first generation scalar leptoquarks in pp collisions at root s = 7 TeV with the ATLAS detector
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Aad G, Abbott B, Abdallah J, Abdelalim AA, Abdesselam A, Abdinov O, Abi B, Abolins M, AbouZeid OS, Abramowicz H, Abreu H, Acerbi E, Acharya BS, Adamczyk L, Adams DL, Addy TN, Adelman J, Aderholz M, Adomeit S, Adragna R, Adye T, Aefsky S, Aguilar Saavedra JA, Aharrouche M, Ahlen SP, Ahles F, Ahmad A, Ahsan M, Aielli G, Akdogan T, Akesson TPA, Akimoto G, Akimov AV, Akiyama A, Alam MS, Alam MA, Albert J, Albrand S, Aleksa M, Aleksandrov IN, Alessandria F, Alexa C, Alexander G, Alexandre G, Alexopoulos T, Alhroob M, Aliev M, Alimonti G, Alison J, Aliyevm M, Allport PP, Allwood Spiers SE, Almond J, Aloisio A, Alon R, Alonso A, Gonzalez BA, Alviggi MG, Amako K, Amaral R, Amelung C, Ammosov VV, Amorim A, Amoros G, Amram N, Anastopoulos C, Ancu LS, Andari N, Andeen T, Anders CF, Anders G, Anderson KJ, Andreazza A, Andrei V, Andrieux ML, Anduaga XS, Angerami A, Anghinolfi F, Anisenkov A, Anjos N, Annovi A, Antonaki A, Antonelli M, Antonov A, Antos J, Anulli F, Aoun S, Bella LA, Apolle R, Arabidze G, Aracena I, Arai Y, Arce ATH, Archambault JP, Arguin JF, Arik E, Arik M, Armbruster AJ, Arnaez O, Artamonov A, Artoni G, Arutinov D, Asai S, Asfandiyarov R, Ask S, Asman B, Asquith L, Assamagan K, Astbury A, Astvatsatourov A, Aubert B, Auge E, Augsten K, Aurousseau M, Avolio G, Avramidou R, Axen D, Ay C, Azuelos G, Azuma Y, Baak MA, Baccaglioni G, Bacci C, Bach AM, Bachacou H, Bachas K, Bachy G, Backes M, Backhaus M, Badescu E, Bagnaia P, Bahinipati S, Bai Y, Bailey DC, Bain T, Baines JT, Baker OK, Baker MD, Baker S, Banas E, Banerjee P, Banerjee S, Banfi D, Bangert A, Bansa V, Bansi HS, Barak L, Baranov SP, Barashkou A, Galtieri AB, Barber T, Barberio EL, Barberis D, Barbero M, Bardin DY, Barillari T, Barisonzi M, Barklow T, Barlow N, Barnett BM, Barnett RM, Baroncelli A, Barone G, Barr AJ, Barreiro F, da Costa JBG, Bartoldus R, Barton AE, Bartsch V, Bates RL, Batkova L, Batley JR, Battaglia A, Battistin M, Bauer F, Bawa HS, Beale S, Beare B, Beau T, Beauchemin PH, Beccherle R, Bechtle R, Beck HP, Becker S, Beckingham M, Becks KH, Beddall AJ, Beddall A, Bedikian S, Bednyakov VA, Bee CP, Begel M, Harpaz SB, Behera PK, Beimforde M, Belanger Champagne C, Be PJ, Be WH, Bella G, Bellagamba L, Bellina F, Bellomo M, Belloni A, Beloborodova O, Belotskiy K, Beltramello O, Ben Ami S, Benary O, Benchekroun D, Benchouk C, Bende M, Benekos N, Benhammou Y, Noccioli EB, Garcia JAB, Benjamin DP, Benoit M, Bensinger JR, Benslama K, Bentvelsen S, Berge D, Kuutmann EB, Berger N, Berghaus F, Berglund E, Beringer J, Bernat P, Bernhard R, Bernius C, Berry T, Bertella C, Bertinab A, Bertinelli R, Bertolucci F, Besana MI, Besson N, Bethke S, Bhimji W, Bianchi RM, Bianco M, Biebel O, Bieniek SR, Bierwagen K, Biesiada J, Biglierri M, Bilokon H, Bindi M, Binet S, Bingul A, Bini C, Biscarat C, Bitenc U, Black KM, Blair RE, Blanchard JB, Blanchot G, Blazek T, Blocker C, Blocki J, Blonde A, Blum W, Blumenschein U, Bobbink GJ, Bobrovnikov VB, Bocchetta SS, Bocci A, Boddy CR, Boehler M, Boek J, Boelaert N, Boser S, Bogaerts JA, Bogdanchikov A, Bogouch A, Bohm C, Boisvert V, Bold T, Boldea V, Bolnet NM, Bona M, Bondarenko VG, Bondioli M, Boonekamp M, Boorman G, Booth CN, Bordoni S, Borer C, Borisov A, Borissov G, Borjanovic I, Borroni S, Bos K, Boscherini D, Bosman M, Boterenbrood H, Botterill D, Bouchami J, Boudreau J, Bouhova Thacker EV, Boumediene D, Bourdarios C, Bousson N, Boveia A, Boyd J, Boyko IR, Bozhko NI, Bozovic Jelisavcic I, Bracinik J, Braem A, Branchini P, Brandenburg GW, Brandt A, Brandt G, Brandt O, Bratzler U, Brau B, Brau JE, Braun HM, Brelier B, Bremer J, Brenner R, Bressler S, Breton D, Britton D, Brochu FM, Brock I, Brock R, Brodbeck TJ, Brodet E, Broggi F, Bromberg C, Bronner J, Brooijmans G, Brooks WK, Brown G, Brown H, de Renstrom PAB, Bruncko D, Bruneliere R, Brunet S, Bruni A, Bruni G, Bruschi M, Buanes T, Buat Q, Bucci F, Buchanan J, Buchanan NJ, Buchholz P, Buckingham RM, Buckley AG, Buda SI, Budagov IA, Budick B, Buscher V, Bugge L, Bulekov O, Bunse M, Buran T, Burckhart H, Burdin S, Burgess T, Burke S, Busato E, Bussey P, Buszello CP, Butin F, Butler B, Butler JM, Buttar CM, Butterworth JM, Buttinger W, Urban SC, Caforio D, Cakir O, Calafiura P, Calderini G, Calfayan P, Calkins R, Caloba LP, Caloi R, Calvet D, Calvet S, Toro RC, Camarri P, Cambiaghi M, Cameron D, Caminada LM, Campana S, Campanelli M, Canale V, Canelli F, Canepa A, Cantero J, Capasso L, Garrido MDMC, Caprini I, Caprini M, Capriotti D, Capua M, Caputo R, Cardarelli R, Carli T, Carlino G, Carminati L, Caron S, Montoya GDC, Carter AA, Carter JR, Carvalho J, Casadei D, Casadoll MP, Cascella M, Caso C, Hernandez AMC, Castaneda Miranda E, Gimenez VC, Castro NF, Cataldi G, Cataneo F, Catinaccio A, Catmore JR, Cattai A, Cattani G, Caughron S, Cauz D, Cavalleri P, Cavalli D, Cavalli Sforza M, Cavasinni V, Cerqueira AS, Cerri A, Cerrito L, Cerutti F, Cetin SA, Cevenini F, Chafaq A, Chakraborty D, Chan K, Chapleau B, Chapman JD, Chapman JW, Chareyre E, Charlton DG, Chavda V, Barajas CAC, Cheatham S, Chekanov S, Chekulaev SV, Chelkov GA, Chelstowska MA, Chen C, Chen H, Chen K, Chen S, Chen T, Chen X, Cheng S, Cheplakov A, Chepurnov VF, El Moursli RC, Chernyatin V, Cheu E, Cheung SL, Chevalier L, Chiefari G, Chikovani L, Childers JT, Chilingarov A, Chiodini G, Chizhov MV, Choudalakis G, Chouridou S, Christidi IA, Christov A, Chromek Burckhart D, Chu ML, Chudoba J, Ciapetti G, Ciba K, Ciftci AK, Ciftci R, Cinca D, Cindro V, Ciobotaru MD, Ciocca C, Ciocio A, Cirilli M, Ciubancan M, Clark A, Clark PJ, Cleland W, Clemens JC, Clement B, Clement C, Clifft RW, Coadou Y, Cobal M, Coccaro A, Cochran J, Coe P, Cogan JG, Coggeshal J, Cogneras E, Colas J, Colijn AP, Collard C, Collins NJ, Collins Tooth C, Collot J, Colon G, Muino PC, Coniavitis E, Conidi MC, Consonni M, Consorti V, Constantinescu S, Conta C, Conventi F, Cook J, Cooke M, Cooper BD, Cooper Sarkar AM, Copic K, Cornelissen T, Corradi M, Corriveau F, Cortes Gonzalez A, Cortiana G, Costa G, Costa MJ, Costanzo D, Costin T, Cote D, Courneyea L, Cowan G, Cowden C, Cox BE, Cranmer K, Crescioli F, Cristinziani M, Crosetti G, Crupi R, Crepe Renaudin S, Cuciuc CM, Almenar CC, Donszelmann TC, Curatolo M, Curtis CJ, Cuthbert C, Cwetanski P, Czirr H, Czodrowski P, Czyczula Z, D'Auria S, D'Onofrio M, D'razio A, Da Silva PVM, Da Via C, Dabrowski W, Dai T, Dallapiccola C, Dam M, Dameri M, Damiani DS, Danielsson HO, Dannheim D, Dao V, Darbo G, Darlea GL, Daum C, Davey W, Davidek T, Davidson N, Davidson R, Davies E, Davies M, Davison AR, Davygora Y, Dawe E, Dawson I, Dawson JW, Daya RK, De K, de Asmundis R, De Castro S, Salgado PEDF, De Cecco S, de Graat J, De Groot N, de Jong P, De la Taille C, De la Torre H, De Lotto B, de Mora L, De Nooij L, De Pedis D, De Salvo A, De Sanctis U, De Santo A, De Regie JBD, Dean S, Dearnaley WJ, Debbe R, Debenedetti C, Dedovich DV, Degenhardt J, Dehchar M, Del Papa C, Del Peso J, Del Prete T, Delemontex T, Deliyergiyev M, Dell'Acqua A, Dell'Asta L, Della Pietra M, della Volpe D, Delmastro M, Delruelle N, Delsart PA, Deluca C, Demers S, Demichev M, Demirkoz B, Deng J, Denisov SP, Derendarz D, Derkaoui JE, Derue F, Dervan P, Desch K, Devetak E, Deviveiros PO, Dewhurst A, DeWilde B, Dhaliwal S, Dhullipudi R, Di Ciaccio A, Di Ciaccio L, Di Girolamo A, Di Girolamo B, Di Luise S, Di Mattia A, Di Nardo R, Di Simone A, Di Sipio R, Diaz MA, Diblen F, Diehl EB, Dietrich J, Dietzsch TA, Diglio S, Yagci KD, Dingfelder J, Dionisi C, Dita P, Dita S, Dittus F, Djama F, Djobava T, do Vale MAB, Wemans AD, Doan TKO, Dobbs M, Dobinson R, Dobos D, Dobson E, Dobson M, Dodd J, Doglioni C, Doherty T, Doi Y, Dolejsi J, Dolenc I, Dolezal Z, Dolgoshein BA, Dohmae T, Donadelli M, Donega M, Donini J, Dopke J, Doria A, Dos Anjos A, Dosil M, Dotti A, Dova MT, Dowell JD, Doxiadis AD, Doyle AT, Drasa Z, Drees J, Dressnandt N, Drevermann H, Driouichi C, Dris M, Dubbert J, Dube S, Duchovnil E, Duckeck G, Dudarev A, Dudziak F, Duhrssen M, Duerdoth IP, 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High Energy Physics::Phenomenology ,High Energy Physics::Experiment - Abstract
We report a search for first generation scalar leptoquarks using 1.03 fb(-1) of proton-proton collisions data produced by the Large Hadron Collider at root s = 7 TeV and recorded by the ATLAS experiment. Leptoquarks are sought via their decay into an electron or neutrino and a quark, producing events with two oppositely charged electrons and at least two jets, or events with an electron, missing transverse momentum and at least two jets. Control data samples are used to validate background predictions from Monte Carlo simulation. In the signal region, the observed event yields are consistent with the background expectations. We exclude at 95% confidence level the production of first generation scalar leptoquark with masses m(LQ) < 660 (607) GeV when assuming the branching fraction of a leptoquark to a charged lepton is equal to 1.0 (0.5). (C) 2012 CERN. Published by Elsevier B.V. All rights reserved.
- Published
- 2012
23. Search for first generation scalar leptoquarks in pp collisions at root s=7 TeV with the ATLAS detector
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Aad, G, Abbott, B, Abdallah, J, Abdelalim, A, Abdesselam, A, Abdinov, O, Abi, B, Abolins, M, Abouzeid, O, Abramowicz, H, Abreu, H, Acerbi, E, Acharya, B, Adamczyk, L, Adams, D, Addy, T, Adelman, J, Aderholz, M, Adomeit, S, Adragna, R, Adye, T, Aefsky, S, Aguilar Saavedra, J, Aharrouche, M, Ahlen, S, Ahles, F, Ahmad, A, Ahsan, M, Aielli, G, Akdogan, T, Akesson, T, Akimoto, G, Akimov, A, Akiyama, A, Alam, M, Albert, J, Albrand, S, Aleksa, M, Aleksandrov, I, Alessandria, F, Alexa, C, Alexander, G, Alexandre, G, Alexopoulos, T, Alhroob, M, Aliev, M, Alimonti, G, Alison, J, Aliyevm, M, Allport, P, Allwood Spiers, S, Almond, J, Aloisio, A, Alon, R, Alonso, A, Gonzalez, B, Alviggi, M, Amako, K, Amaral, R, Amelung, C, Ammosov, V, Amorim, A, Amoros, G, Amram, N, Anastopoulos, C, Ancu, L, Andari, N, Andeen, T, Anders, C, Anders, G, Anderson, K, Andreazza, A, Andrei, V, Andrieux, M, Anduaga, X, Angerami, A, Anghinolfi, F, Anisenkov, A, Anjos, N, Annovi, A, Antonaki, A, Antonelli, M, Antonov, A, Antos, J, Anulli, F, Aoun, S, Bella, L, Apolle, R, Arabidze, G, Aracena, I, Arai, Y, Arce, A, Archambault, J, Arguin, J, Arik, E, Arik, M, Armbruster, A, Arnaez, O, Artamonov, A, Artoni, G, Arutinov, D, Asai, S, Asfandiyarov, R, Ask, S, Asman, B, Asquith, L, Assamagan, K, Astbury, A, Astvatsatourov, A, Aubert, B, Auge, E, Augsten, K, Aurousseau, M, Avolio, G, Avramidou, R, Axen, D, Ay, C, Azuelos, G, Azuma, Y, Baak, M, Baccaglioni, G, Bacci, C, Bach, A, Bachacou, H, Bachas, K, Bachy, G, Backes, M, Backhaus, M, Badescu, E, Bagnaia, P, Bahinipati, S, Bai, Y, Bailey, D, Bain, T, Baines, J, Baker, O, Baker, M, Baker, S, Banas, E, Banerjee, P, Banerjee, S, Banfi, D, Bangert, A, Bansa, V, Bansi, H, Barak, L, Baranov, S, Barashkou, A, Galtieri, A, Barber, T, Barberio, E, Barberis, D, Barbero, M, Bardin, D, Barillari, T, Barisonzi, M, Barklow, T, Barlow, N, Barnett, B, Barnett, R, Baroncelli, A, Barone, G, Barr, A, Barreiro, F, da Costa, J, Bartoldus, R, Barton, A, Bartsch, V, Bates, R, Batkova, L, Batley, J, Battaglia, A, Battistin, M, Bauer, F, Bawa, H, Beale, S, Beare, B, Beau, T, Beauchemin, P, Beccherle, R, Bechtle, R, Beck, H, Becker, S, Beckingham, M, Becks, K, Beddall, A, Bedikian, S, Bednyakov, V, Bee, C, Begel, M, Harpaz, S, Behera, P, Beimforde, M, Belanger Champagne, C, Be, P, Be, W, Bella, G, Bellagamba, L, Bellina, F, Bellomo, M, Belloni, A, Beloborodova, O, Belotskiy, K, Beltramello, O, Ben Ami, S, Benary, O, Benchekroun, D, Benchouk, C, Bende, M, Benekos, N, Benhammou, Y, Noccioli, E, Garcia, J, Benjamin, D, Benoit, M, Bensinger, J, Benslama, K, Bentvelsen, S, Berge, D, Kuutmann, E, Berger, N, Berghaus, F, Berglund, E, Beringer, J, Bernat, P, Bernhard, R, Bernius, C, Berry, T, Bertella, C, Bertinab, A, Bertinelli, R, Bertolucci, F, Besana, M, Besson, N, Bethke, S, Bhimji, W, Bianchi, R, Bianco, M, Biebel, O, Bieniek, S, Bierwagen, K, Biesiada, J, Biglierri, M, Bilokon, H, Bindi, M, Binet, S, Bingul, A, Bini, C, Biscarat, C, Bitenc, U, Black, K, Blair, R, Blanchard, J, Blanchot, G, Blazek, T, Blocker, C, Blocki, J, Blonde, A, Blum, W, Blumenschein, U, Bobbink, G, Bobrovnikov, V, Bocchetta, S, Bocci, A, Boddy, C, Boehler, M, Boek, J, Boelaert, N, Boser, S, Bogaerts, J, Bogdanchikov, A, Bogouch, A, Bohm, C, Boisvert, V, Bold, T, Boldea, V, Bolnet, N, Bona, M, Bondarenko, V, Bondioli, M, Boonekamp, M, Boorman, G, Booth, C, Bordoni, S, Borer, C, Borisov, A, Borissov, G, Borjanovic, I, Borroni, S, Bos, K, Boscherini, D, Bosman, M, Boterenbrood, H, Botterill, D, Bouchami, J, Boudreau, J, Bouhova Thacker, E, Boumediene, D, Bourdarios, C, Bousson, N, Boveia, A, Boyd, J, Boyko, I, Bozhko, N, Bozovic Jelisavcic, I, Bracinik, J, Braem, A, Branchini, P, Brandenburg, G, Brandt, A, Brandt, G, Brandt, O, Bratzler, U, Brau, B, Brau, J, Braun, H, Brelier, B, Bremer, J, Brenner, R, Bressler, S, Breton, D, Britton, D, Brochu, F, Brock, I, Brock, R, Brodbeck, T, Brodet, E, Broggi, F, Bromberg, C, Bronner, J, Brooijmans, G, Brooks, W, Brown, G, Brown, H, de Renstrom, P, Bruncko, D, Bruneliere, R, Brunet, S, Bruni, A, Bruni, G, Bruschi, M, Buanes, T, Buat, Q, Bucci, F, Buchanan, J, Buchanan, N, Buchholz, P, Buckingham, R, Buckley, A, Buda, S, Budagov, I, Budick, B, Buscher, V, Bugge, L, Bulekov, O, Bunse, M, Buran, T, Burckhart, H, Burdin, S, Burgess, T, Burke, S, Busato, E, Bussey, P, Buszello, C, Butin, F, Butler, B, Butler, J, Buttar, C, Butterworth, J, Buttinger, W, Urban, S, Caforio, D, Cakir, O, Calafiura, P, Calderini, G, Calfayan, P, Calkins, R, Caloba, L, Caloi, R, Calvet, D, Calvet, S, Toro, R, Camarri, P, Cambiaghi, M, Cameron, D, Caminada, L, Campana, S, Campanelli, M, Canale, V, Canelli, F, Canepa, A, Cantero, J, Capasso, L, Garrido, M, Caprini, I, Caprini, M, Capriotti, D, Capua, M, Caputo, R, Cardarelli, R, Carli, T, Carlino, G, Carminati, L, Caron, S, Montoya, G, Carter, A, Carter, J, Carvalho, J, Casadei, D, Casadoll, M, Cascella, M, Caso, C, Hernandez, A, Castaneda Miranda, E, Gimenez, V, Castro, N, Cataldi, G, Cataneo, F, Catinaccio, A, Catmore, J, Cattai, A, Cattani, G, Caughron, S, Cauz, D, Cavalleri, P, Cavalli, D, Cavalli Sforza, M, Cavasinni, V, Ceradini, F, Cerqueira, A, Cerri, A, Cerrito, L, Cerutti, F, Cetin, S, Cevenini, F, Chafaq, A, Chakraborty, D, Chan, K, Chapleau, B, Chapman, J, Chareyre, E, Charlton, D, Chavda, V, Barajas, C, Cheatham, S, Chekanov, S, Chekulaev, S, Chelkov, G, Chelstowska, M, Chen, C, Chen, H, Chen, K, Chen, S, Chen, T, Chen, X, Cheng, S, Cheplakov, A, Chepurnov, V, El Moursli, R, Chernyatin, V, Cheu, E, Cheung, S, Chevalier, L, Chiefari, G, Chikovani, L, Childers, J, Chilingarov, A, Chiodini, G, Chizhov, M, Choudalakis, G, Chouridou, S, Christidi, I, Christov, A, Chromek Burckhart, D, Chu, M, Chudoba, J, Ciapetti, G, Ciba, K, Ciftci, A, Ciftci, R, Cinca, D, Cindro, V, Ciobotaru, M, Ciocca, C, Ciocio, A, Cirilli, M, Ciubancan, M, Clark, A, Clark, P, Cleland, W, Clemens, J, Clement, B, Clement, C, Clifft, R, Coadou, Y, Cobal, M, Coccaro, A, Cochran, J, Coe, P, Cogan, J, Coggeshal, J, Cogneras, E, Colas, J, Colijn, A, Collard, C, Collins, N, Collins Tooth, C, Collot, J, Colon, G, Muino, P, Coniavitis, E, Conidi, M, Consonni, M, Consorti, V, Constantinescu, S, Conta, C, Conventi, F, Cook, J, Cooke, M, Cooper, B, Cooper Sarkar, A, Copic, K, Cornelissen, T, Corradi, M, Corriveau, F, Cortes Gonzalez, A, Cortiana, G, Costa, G, Costa, M, Costanzo, D, Costin, T, Cote, D, Courneyea, L, Cowan, G, Cowden, C, Cox, B, Cranmer, K, Crescioli, F, Cristinziani, M, Crosetti, G, Crupi, R, Crepe Renaudin, S, Cuciuc, C, Almenar, C, Donszelmann, T, Curatolo, M, Curtis, C, Cuthbert, C, Cwetanski, P, Czirr, H, Czodrowski, P, Czyczula, Z, D'Auria, S, D'Onofrio, M, D'Razio, A, Da Silva, P, Da Via, C, Dabrowski, W, Dai, T, Dallapiccola, C, Dam, M, Dameri, M, Damiani, D, Danielsson, H, Dannheim, D, Dao, V, Darbo, G, Darlea, G, Daum, C, Davey, W, Davidek, T, Davidson, N, Davidson, R, Davies, E, Davies, M, Davison, A, Davygora, Y, Dawe, E, Dawson, I, Dawson, J, Daya, R, De, K, de Asmundis, R, De Castro, S, Salgado, P, De Cecco, S, de Graat, J, De Groot, N, de Jong, P, De la Taille, C, De la Torre, H, De Lotto, B, de Mora, L, De Nooij, L, De Pedis, D, De Salvo, A, De Sanctis, U, De Santo, A, De Regie, J, Dean, S, Dearnaley, W, Debbe, R, Debenedetti, C, Dedovich, D, Degenhardt, J, Dehchar, M, Del Papa, C, Del Peso, J, Del Prete, T, Delemontex, T, Deliyergiyev, M, Dell'Acqua, A, Dell'Asta, L, Della Pietra, M, della Volpe, D, Delmastro, M, Delruelle, N, Delsart, P, Deluca, C, Demers, S, Demichev, M, Demirkoz, B, Deng, J, Denisov, S, Derendarz, D, Derkaoui, J, Derue, F, Dervan, P, Desch, K, Devetak, E, Deviveiros, P, Dewhurst, A, Dewilde, B, Dhaliwal, S, Dhullipudi, R, DI CIACCIO, A, Di Ciaccio, L, Di Girolamo, A, Di Girolamo, B, Di Luise, S, Di Mattia, A, Di Micco, B, Di Nardo, R, Di Simone, A, Di Sipio, R, Diaz, M, Diblen, F, Diehl, E, Dietrich, J, Dietzsch, T, Diglio, S, Yagci, K, Dingfelder, J, Dionisi, C, Dita, P, Dita, S, Dittus, F, Djama, F, Djobava, T, do Vale, M, Wemans, A, Doan, T, Dobbs, M, Dobinson, R, Dobos, D, Dobson, E, Dobson, M, Dodd, J, Doglioni, C, Doherty, T, Doi, Y, Dolejsi, J, Dolenc, I, Dolezal, Z, Dolgoshein, B, Dohmae, T, Donadelli, M, Donega, M, Donini, J, Dopke, J, Doria, A, Dos Anjos, A, Dosil, M, Dotti, A, Dova, M, Dowell, J, Doxiadis, A, Doyle, A, Drasa, Z, Drees, J, Dressnandt, N, Drevermann, H, Driouichi, C, Dris, M, Dubbert, J, Dube, S, Duchovnil, E, Duckeck, G, Dudarev, A, Dudziak, F, Duhrssen, M, Duerdoth, I, Duflot, L, Dufour, M, Dunford, M, Yildiz, H, Duxfield, R, Dwuznik, M, Dydak, F, Duren, M, Ebenstein, W, Ebke, J, Eckweiler, S, Edmonds, K, Edwards, C, Edwards, N, Ehrenfeld, W, Ehrich, T, Eifert, T, Eigen, G, Einsweiler, K, Eisenhandler, E, Ekelof, T, El Kacimi, M, Eert, M, Elles, S, Ellinghaus, F, Ellis, K, Ellis, N, Elmsheuser, J, Elsing, M, Emeliyanov, D, Engelmann, R, Eng, A, Epp, B, Eppig, A, Erdmann, J, Ereditato, A, Eriksson, D, Ernst, J, Ernst, M, Ernwein, J, Errede, D, Errede, S, Erte, E, Escalier, M, Escobar, C, Curull, X, Esposito, B, Etienne, F, Etienvre, A, Etzion, E, Evangelakou, D, Evans, H, Fabbri, L, Fabre, C, Fakhrutdinov, R, Falciano, S, Fang, Y, Fanti, M, Farbin, A, Farilla, A, Farley, J, Farooque, T, Farrington, S, Farthouat, P, Fassnacht, P, Fassouliotis, D, Fatholahzadeh, B, Favareto, A, Fayard, L, Fazio, S, Febbraro, R, Federic, P, Fedin, O, Fedorko, W, Fehling Kaschek, M, Feligioni, L, Feng, C, Feng, E, Fenyuk, A, Ferencei, J, Ferland, J, Fernandol, W, Ferrag, S, Ferrando, J, Ferrara, V, Ferrari, A, Ferrari, P, Ferrari, R, Ferrer, A, Ferrer, M, Ferrere, D, Ferretti, C, Parodi, A, Fiascaris, M, Fiedler, F, Filipcic, A, Filippas, A, Filthaut, F, Fincke Keeler, M, Filhais, M, Fiorini, L, Firan, A, Fischer, P, Fisher, M, Flech, M, Fleck, I, Fleckner, J, Fleischmann, P, Fleischmann, S, Flick, T, Castillo, L, Flowerdew, M, Fokitis, M, Martin, T, Forbush, D, Formica, A, Forti, A, Fortin, D, Foster, J, Fournier, D, Foussat, A, Fowler, A, Fowler, K, Fox, H, Francavilla, P, Franchino, S, Francis, D, Frank, T, Franklin, M, Franz, S, Fraternali, M, Fratina, S, French, S, Friedrich, F, Froesch, R, Froidevaux, D, Frost, J, Fukunaga, C, Torregrosa, E, Fuster, J, Gabaldon, C, Gabizon, O, Gadfort, T, Gadomski, S, Gagliardi, G, Gagnon, P, Galea, C, Gallas, E, Gallo, V, Gallop, B, Gallus, P, Gan, K, Gao, Y, Gapienko, V, Gaponenko, A, Garberson, F, Garcia Sciveres, M, Garcia, C, Navarro, J, Gardner, R, Garelli, N, Garitaonandia, H, Garonne, V, Garvey, J, Gatti, C, Gaudio, G, Gaumer, O, Gaur, B, Gauthier, L, Gavrilenko, I, Gay, C, Gaycken, G, Gayde, J, Gazis, E, Ge, R, Gee, C, Geerts, D, Geich Gimbe, C, Gellerstedt, K, Gemme, C, Gemmell, A, Genest, M, Gentile, S, George, M, George, S, Gerlach, P, Gershon, A, Geweniger, C, Ghazlane, H, Ghodbane, N, Giacobbe, B, Giagu, S, Giakoumopoulou, V, Gianotti, F, Gibbard, B, Gibson, A, Gibson, S, Gilbert, L, Gilewsky, V, Gillberg, D, Gillman, A, Gingrich, D, Ginzburg, J, Giokaris, N, Giordani, M, Giordano, R, Giorgi, F, Giovannini, R, Giraud, R, Giugni, D, Giunta, M, Giusti, P, Gjelsten, B, Gladilin, L, Glasman, C, Glatzer, J, Glazov, A, Glonti, G, Goddard, J, Godfrey, J, Godlewski, J, Goebel, M, Gopfert, T, Goeringer, C, Gossling, C, Gottfert, T, Goldfarb, S, Golling, T, Golovnia, S, Gomes, A, Fajardo, L, Goncalo, R, Da Costa, J, Gonella, L, Gonidec, A, Gonzalez, S, de la Hoz, S, Parra, G, Silva, M, Gonzalez Sevilla, S, Goodson, J, Goossens, L, Gorbounov, R, Gordon, H, Gorelov, I, Gorfine, G, Gorini, B, Gorini, E, Gorisek, A, Gornicki, E, Gorokhov, S, Goryachev, V, Gosdzik, B, Gosselink, M, Gostkin, M, Eschrich, I, Gouighri, M, Goujdami, D, Goulette, M, Goussiou, A, Goy, C, Gozpinar, S, Grabowska Bold, I, Grafstrom, P, Grahn, K, Grancagnolo, F, Grancagnolo, S, Grassi, V, Gratchev, V, Grau, N, Gray, H, Gray, J, Graziani, E, Grebenyuk, O, Greenshaw, T, Greenwood, Z, Gregersen, K, Gregor, I, Grenier, P, Griffiths, J, Grigalashvili, N, Grillo, A, Grinstein, S, Grishkevich, Y, Grivaz, J, Groh, M, Gross, E, Grosse Knetter, J, Groth Jensen, J, Grybel, K, Guarino, V, Guest, D, Guicheney, C, Guida, A, Guindon, S, Guler, H, Gunther, J, Guo, B, Guo, J, Gupta, A, Gusakov, Y, Gushchin, V, Gutierrez, A, Gutierrez, P, Guttman, N, Gutzwiller, O, Guyot, C, Gwenlan, C, Gwilliam, C, Haas, A, Haas, S, Haber, C, Hackenburg, R, Hadavand, H, Hadley, D, Haefner, P, Hahn, F, Haider, S, Hajduk, Z, Hakobyan, H, Haller, J, Hamacher, K, Hamal, R, Hamer, M, Hamilton, A, Hamiltonthi, S, Han, H, Han, L, Hanagaki, K, Hanawa, K, Hance, M, Handel, C, Hanke, R, Hansen, J, Hansen, R, Hansson, P, Nara, K, Hare, G, Harenberg, T, Harkusha, S, Harper, D, Harrington, R, Harris, O, Harrison, K, Hartert, J, Hartjes, F, Haruyama, T, Harvey, A, Hasegawa, S, Hasegawa, Y, Hassani, S, Hatch, M, Hauff, D, Haug, S, Hauschild, M, Hauser, R, Havranek, M, Hawes, B, Hawkes, C, Hawkings, R, Hawkins, A, Hawkins, D, Hayakawa, T, Hayashi, T, Hayden, D, Hayward, H, Haywood, S, Hazen, E, He, M, Head, S, Hedberg, V, Heelan, L, Heim, S, Heinemann, B, Heisterkamp, S, Helary, L, Heller, C, Heller, M, Hellman, S, Hellmich, D, Helsens, C, Henderson, R, Henke, M, Henrichs, A, Correia, A, Henrot Versille, S, Henry Couannier, F, Hensel, C, Henss, T, Hernandez, C, Jimenez, Y, Herrberg, R, Hershenhorn, A, Herten, G, Hertenberger, R, Hervas, L, Hessey, N, Higon Rodriguez, E, Hill, D, Hill, J, Hill, N, Hiller, K, Hillert, S, Hillier, S, Hinchliffe, I, Hines, E, Hirose, M, Hirsch, F, Hirschbuehl, D, Hobbs, Hod, N, Hodgkinson, M, Hodgson, P, Hoecker, A, Hoeferkamp, M, Hoffman, J, Hoffmann, D, Hohlfeld, M, Holder, M, Holmgren, S, Holy, T, Holzbauer, J, Homma, Y, Hong, T, van Huysduynen, L, Horazdovsky, T, Horn, C, Horner, S, Hostachy, J, Hou, S, Houlden, M, Hoummada, A, Howarth, J, Howell, D, Hristova, I, Hrivnac, J, Hruska, I, Hryn'Ova, T, Hsu, P, Hsu, S, Huang, G, Hubacek, Z, Hubaut, F, Huegging, F, Huettmann, A, Huffman, T, Hughes, E, Hughes, G, Hughes Jones, R, Huhtinen, M, Hurst, P, Hurwitz, M, Husemann, U, Huseynov, N, Huston, J, Huth, J, Iacobucci, G, Iakovidis, G, Ibbotson, M, Ibragimov, I, Ichimiya, R, Iconomidou Fayard, L, Idarraga, J, Iengo, P, Igonkina, I, Ikegami, Y, Ikeno, M, Ilchenko, Y, Iliadis, D, Ilic, N, Imbault, D, Imori, M, Ince, T, Inigo Golfin, J, Ioannou, P, Iodice, M, Ippolito, V, Quiles, A, Isaksson, C, Ishikawa, A, Ishino, M, Ishmukhametov, R, Issever, C, Istin, S, Ivashin, A, Iwanski, W, Iwasaki, H, Izen, J, Izzo, V, Jackson, B, Jackson, J, Jackson, P, Jaekel, M, Jain, V, Jakobs, K, Jakobsen, S, Jakubek, J, Jana, D, Jankowski, E, Jansen, E, Jansen, H, Jantsch, A, Janus, M, Jarlskog, G, Jeanty, L, Jelen, K, Plante, I, Jenni, P, Jeremie, A, Jez, P, Jezequel, S, Jha, M, Ji, H, Ji, W, Jia, J, Jiang, Y, Belenguer, M, Jin, G, Jin, S, Jinnouchi, O, Joergensen, M, Joffe, D, Johansen, L, Johansen, M, Johansson, K, Johansson, P, Johnert, S, Johns, K, Jon And, K, Jones, G, Jones, R, Jones, T, Jonsson, O, Joram, C, Jorge, P, Joseph, J, Jovin, T, Ju, X, Jung, C, Jungst, R, Juranek, V, 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Staude, A, Stavina, P, Stavropoulos, G, Steele, G, Steinbach, P, Steinberg, P, Stekl, I, Stelzer, B, Stelzer, H, Stelzer Chilton, O, Stenze, H, Stern, S, Stevenson, K, Stewart, G, Stillings, J, Stockton, M, Stoerig, K, Stoicea, G, Stonjek, S, Strachota, P, Stradling, A, Straessner, A, Strandberg, J, Strandberg, S, Strandlie, A, Strang, M, Strauss, E, Strauss, M, Strizenec, P, Strohmer, R, Strom, D, Strong, J, Stroynowski, R, Strube, J, Stugu, B, Stumer, I, Stupak, J, Sturm, R, Styles, N, Soh, D, Su, D, Subramania, H, Succurro, A, Sugaya, Y, Sugimoto, T, Suhr, C, Suita, K, Suk, M, Sulin, V, Sultansoy, S, Sumida, T, Sun, X, Sundermann, J, Suruliz, K, Sushkov, S, Susinno, G, Sutton, M, Suzuki, Y, Svatos, M, Sviridov, Y, Swedish, S, Sykora, I, Sykora, T, Less, B, Sanchez, J, Ta, D, Tackmann, K, Taffard, A, Tafirout, R, Taiblum, N, Takahashi, Y, Takai, H, Takashima, R, Takeda, H, Takeshita, T, Takubo, Y, Talby, M, Talyshev, A, Tamsett, M, Tanaka, J, Tanaka, R, Tanaka, S, Tanaka, Y, Tanasijczuk, A, Tani, K, Tannoury, N, Tappern, G, Tapprogge, S, Tardif, D, Tarem, S, Tarrade, F, Tartarelli, G, Tas, P, Tasevsky, M, Tassi, E, Tatarkhanov, M, Tayalati, Y, Taylor, C, Taylor, F, Taylor, G, Taylor, W, Teinturier, M, Castanheira, M, Teixeira Dias, P, Temming, K, Ten Kate, H, Teng, P, Terada, S, Terashi, K, Terron, J, Testa, M, Teuscher, R, Thadome, J, Therhaag, J, Theveneaux Pelzer, T, Thioye, M, Thoma, S, Thomas, J, Thompson, E, Thompson, P, Thompson, A, Thomson, E, Thomson, M, Thun, R, Tian, F, Tibbetts, M, Tic, T, Tikhomirov, V, Tikhonov, Y, Timoshenko, S, Tipton, R, Viegas, F, Tisserant, S, Tobias, J, Toczek, B, Todorov, T, Todorova Nova, S, Toggerson, B, Tojo, J, Tokar, S, Tokunaga, K, Tokushuku, K, Tollefson, K, Tomoto, M, Tompkins, L, Toms, K, Tong, G, Tonoyan, A, Topfel, C, Topilin, N, Torchiani, I, Torrence, E, Torres, H, Pastor, E, Toth, J, Touchard, F, Tovey, D, Trefzger, T, Tremblet, L, Tricoli, A, Trigger, I, Trincaz Duvoid, S, Trinh, T, Tripiana, M, Trischuk, W, Trivedi, A, Trocme, B, Troncon, C, Trottier McDonald, M, Trzebinski, M, Trzupek, A, Tsarouchas, C, Tseng, J, Tsiakiris, M, Tsiareshka, P, Tsionou, D, Tsipolitis, G, Tsiskaridze, V, Tskhadadze, E, Tsukerman, I, Tsulaia, V, Tsung, J, Tsuno, S, Tsybychev, D, Tua, A, Tudorache, A, Tudorache, V, Tuggle, J, Turala, M, Turecek, D, Cakir, I, Turlay, E, Turra, R, Tuts, P, Tykhonov, A, Tylmad, M, Tyndel, M, Tzanakos, G, Uchida, K, Ueda, I, Ueno, R, Ugland, M, Uhlenbrock, M, Uhrmacher, M, Ukegawa, F, Unal, G, Underwood, D, Undrus, A, Unel, G, Unno, Y, Urbaniec, D, Usai, G, Vacavant, L, Vacek, V, Vachon, B, Vahsen, S, Valenta, J, Valente, R, Valentinetti, S, Valkar, S, Gallego, E, Vallecorsa, S, Ferrer, J, van der Graaf, H, van der Kraaij, E, Van der Leeuw, R, van der Poel, E, van der Ster, D, van Eldik, N, van Gemmeren, P, van Kesteren, Z, van Vulpen, I, Vanadia, M, Vandelli, W, Vandoni, G, Vaniachine, A, Vankov, P, Vannucci, E, Rodriguez, F, Vari, R, Varouchas, D, Vartapetian, A, Varvell, K, Vassilakopoulos, V, Vazeille, F, Vegni, G, Veillet, J, Vellidis, C, Veloso, F, Veness, R, Veneziano, S, Ventura, A, Ventura, D, Venturi, M, Venturi, N, Vercesi, V, Verducci, M, Verkerke, W, Vermeulen, J, Vest, A, Vetterli, M, Vichou, I, Vickey, T, Boeriu, E, Viehhauser, G, Viel, S, Villa, M, Perez, M, Vilucchi, E, Vincter, M, Vinek, E, Vinogradov, V, Virchaux, M, Virzi, J, Vitells, O, Viti, M, Vivarelli, I, Vaque, E, Vlachos, S, Vladoiu, D, Vlasak, M, Vlasov, N, Vogel, A, Vokac, R, Volpi, G, Volpi, M, Volpini, G, von der Schmitt, H, von Loeben, J, von Radziewski, H, von Toerne, E, Vorobel, V, Vorobiev, A, Vorwerk, V, Vos, M, Voss, R, Voss, T, Vossebeld, J, Vranjes, N, Milosavljevic, M, Vrba, V, Vreeswijk, M, Anh, T, Vuillermet, R, Vukotic, I, Wagner, W, Wagner, P, Wahler, H, Wakabayashi, J, Walbersloh, J, Walch, S, Walder, J, Walker, R, Walkowiak, W, Wall, R, Waller, R, Wang, C, Wang, H, Wang, J, Wang, R, Wang, S, Warburton, A, Ward, C, Warsinsky, M, Watkins, P, Watson, A, Watson, I, Watson, M, Watts, G, Watts, S, Waugh, A, Waugh, B, Weber, M, Weber, P, Weidberg, A, Weigell, R, Weingarten, J, Weiser, C, Wellenstein, H, Wells, R, Wen, M, Wenaus, T, Wendler, S, Weng, Z, Wengler, T, Wenig, S, Wermes, N, Werner, M, Werner, R, Werth, M, Wessels, M, Weydert, C, Whalen, K, Wheeler Ellis, S, Whitaker, S, White, A, White, M, Whitehead, S, Whiteson, D, Whittington, D, Wicke, D, Wickens, F, Wiedenmann, W, Wielers, M, Wienemann, R, Wiglesworth, C, Wilk, L, Wijeratne, P, Wildauer, A, Wildt, M, Wilhelm, I, Wilkens, H, Will, J, Williams, E, Williams, H, Willis, W, Willocq, S, Wilson, J, Wilson, M, Wilson, A, Wingerter Seez, I, Winkelmann, S, Winklmeier, F, Wittgen, M, Wolter, M, Wolters, H, Wong, W, Wooden, G, Wosiek, B, Wotschack, J, Woudstra, M, Wozniak, K, Wraight, K, Wright, C, Wright, M, Wrona, B, Wu, S, Wu, X, Wu, Y, Wulf, E, Wunstorf, R, Wynne, B, Xella, S, Xiao, M, Xie, S, Xie, Y, Xu, C, Xu, D, Xu, G, Yabsley, B, Yacoob, S, Yamada, M, Yamaguchi, H, Yamamoto, A, Yamamoto, K, Yamamoto, S, Yamamura, T, Yamanaka, T, Yamaoka, J, Yamazaki, T, Yamazaki, Y, Yan, Z, Yang, H, Yang, U, Yang, Y, Yang, Z, Yanush, S, Yasu, Y, Smit, G, Ye, J, Ye, S, Yilmaz, M, Yoosoofmiya, R, Yorita, K, Yoshida, R, Young, C, Youssef, S, Yu, D, Yu, J, Yuan, L, Yurkewicz, A, Zabinski, B, Zaets, V, Zaidan, R, Zaitsev, A, Zajacova, Z, Zanello, L, Zarzhitsky, P, Zaytsev, A, Zeitnitz, C, Zeller, M, Zeman, M, Zemla, A, Zendler, C, Zenin, O, Zenis, T, Zenonos, Z, Zenz, S, Zerwas, D, della Porta, G, Zhan, Z, Zhang, D, Zhang, H, Zhang, J, Zhang, X, Zhang, Z, Zhao, L, Zhao, T, Zhao, Z, Zhemchugov, A, Zheng, S, Zhong, J, Zhou, B, Zhou, N, Zhou, Y, Zhu, C, Zhu, H, Zhu, J, Zhu, Y, Zhuang, X, Zhuravlov, V, Zieminska, D, Zimmermann, R, Zimmermann, S, Ziolkowski, M, Zitoun, R, Zivkovic, L, Zmouchko, V, Zobernig, G, Zoccoli, A, Zolnierowski, Y, Zsenei, A, zur Nedden, M, Zutshi, V, and Zwalinski, L
- Subjects
Settore FIS/01 - Fisica Sperimentale - Published
- 2012
24. Functions of ABC transporters in plants
- Author
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Kretzschmar, T, Burla, B, Lee, Y, Martinoia, E, Nagy, R, University of Zurich, and Martinoia, E
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1303 Biochemistry ,10126 Department of Plant and Microbial Biology ,1312 Molecular Biology ,580 Plants (Botany) - Published
- 2011
25. Naturkapital Deutschland – TEEB DE: Die Unternehmensperspektive - auf neue Herausforderungen vorbereitet sein
- Author
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Wieler, B., Retter, M., Kretzschmar, T., Dietrich, K., Hansjürgens, Bernd, Bonn, Aletta ; orcid:0000-0002-8345-4600, Brenck, Miriam, Ratte, C., Ring, Irene, Schröter-Schlaack, Christoph ; orcid:0000-0002-8857-1769, Schweppe-Kraft, B., Tilch, Sebastian, Wieler, B., Retter, M., Kretzschmar, T., Dietrich, K., Hansjürgens, Bernd, Bonn, Aletta ; orcid:0000-0002-8345-4600, Brenck, Miriam, Ratte, C., Ring, Irene, Schröter-Schlaack, Christoph ; orcid:0000-0002-8857-1769, Schweppe-Kraft, B., and Tilch, Sebastian
- Published
- 2013
26. Phosphate systemically inhibits development of arbuscular mycorrhiza in Petunia hybrida and represses genes involved in mycorrhizal functioning
- Author
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Breuillin, F, Schramm, J, Hajirezaei, M, Ahkami, A, Favre, P, Druege, U, Hauser, B, Bucher, M, Kretzschmar, T, Bossolini, E, Kuhlemeier, C, Martinoia, E, Franken, P, Scholz, Uwe, Reinhardt, D, Breuillin, F, Schramm, J, Hajirezaei, M, Ahkami, A, Favre, P, Druege, U, Hauser, B, Bucher, M, Kretzschmar, T, Bossolini, E, Kuhlemeier, C, Martinoia, E, Franken, P, Scholz, Uwe, and Reinhardt, D
- Abstract
Most terrestrial plants form arbuscular mycorrhiza (AM), mutualistic associations with soil fungi of the order Glomeromycota. The obligate biotrophic fungi trade mineral nutrients, mainly phosphate (P(i) ), for carbohydrates from the plants. Under conditions of high exogenous phosphate supply, when the plant can meet its own P requirements without the fungus, AM are suppressed, an effect which could be interpreted as an active strategy of the plant to limit carbohydrate consumption of the fungus by inhibiting its proliferation in the roots. However, the mechanisms involved in fungal inhibition are poorly understood. Here, we employ a transcriptomic approach to get insight into potential shifts in metabolic activity and symbiotic signalling, and in the defence status of plants exposed to high P(i) levels. We show that in mycorrhizal roots of petunia, a similar set of symbiosis-related genes is expressed as in mycorrhizal roots of Medicago, Lotus and rice. P(i) acts systemically to repress symbiotic gene expression and AM colonization in the root. In established mycorrhizal roots, P(i) repressed symbiotic gene expression rapidly, whereas the inhibition of colonization followed with a lag of more than a week. Taken together, these results suggest that P(i) acts by repressing essential symbiotic genes, in particular genes encoding enzymes of carotenoid and strigolactone biosynthesis, and symbiosis-associated phosphate transporters. The role of these effects in the suppression of symbiosis under high P(i) conditions is discussed.
- Published
- 2010
27. Chapter 7: Addressing losses through regulation and pricing
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ten Brink, P., Hansjürgens, B., Kaplan, S., Karousakis, K., Kettunen, M., Lehmann, M., Bouamrane, M., Mountford, H., Ruhweza, A., Schauer, M., Schröter-Schlaack, C., Simons, B., Vakrou, A., van der Esch, S., Vause, J., Verma, M., Weber, J.-L., White, S., Wittmer, H., Hansjürgens, Bernd, Schröter-Schlaack, Christoph, Tucker, G., Bassi, S., Ozdemiroglu, E., Shine, C., Wittmer, Heidi, Armstrong, J., Schweppe Kraft, B., Kretzschmar, T., Philipson, H.M., Rosenstock, M., Treweek, J., Wätzold, Frank, ten Brink, P., Hansjürgens, B., Kaplan, S., Karousakis, K., Kettunen, M., Lehmann, M., Bouamrane, M., Mountford, H., Ruhweza, A., Schauer, M., Schröter-Schlaack, C., Simons, B., Vakrou, A., van der Esch, S., Vause, J., Verma, M., Weber, J.-L., White, S., Wittmer, H., Hansjürgens, Bernd, Schröter-Schlaack, Christoph, Tucker, G., Bassi, S., Ozdemiroglu, E., Shine, C., Wittmer, Heidi, Armstrong, J., Schweppe Kraft, B., Kretzschmar, T., Philipson, H.M., Rosenstock, M., Treweek, J., and Wätzold, Frank
- Published
- 2009
28. Numerical understanding of regional scale water table behavior in the Guadalupe Valley aquifer, Baja California, Mexico
- Author
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Campos-Gaytan, J. R., primary and Kretzschmar, T., additional
- Published
- 2006
- Full Text
- View/download PDF
29. Characterization of rubber-brass bonding layers by analytical electron microscopy (AEM)
- Author
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Hofer, F., primary, Grubbauer, G., additional, Hummel, K., additional, and Kretzschmar, T., additional
- Published
- 1996
- Full Text
- View/download PDF
30. Rubber-brass bonding: morphology of cross-sections through the bonding layers as a possible basis for classification
- Author
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Hummel, K., primary, Hofer, F., additional, and Kretzschmar, T., additional
- Published
- 1996
- Full Text
- View/download PDF
31. Selection Procedures for Nonmatured Phage Antibodies: A Quantitative Comparison and Optimization Strategies
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Kretzschmar, T., primary, Zimmermann, C., additional, and Geiser, M., additional
- Published
- 1995
- Full Text
- View/download PDF
32. The Influence of Different Brass Pretreatments on Rubber-Metal Bonding: Investigated by Analytical Electron Microscopy
- Author
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Kretzschmar, T., primary, Hummel, K., primary, and Hofer, F., primary
- Published
- 1993
- Full Text
- View/download PDF
33. A recombinant hybrid anaphylatoxin with dual C3a/C5a activity
- Author
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Bautsch, W, primary, Kretzschmar, T, additional, Stühmer, T, additional, Kola, A, additional, Emde, M, additional, Köhl, J, additional, Klos, A, additional, and Bitter-Suermann, D, additional
- Published
- 1992
- Full Text
- View/download PDF
34. Functional activities of synthetic anaphylatoxic peptides in widely used biological assays
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KOLA, A, primary, KLOS, A, additional, BAUTSCH, W, additional, KRETZSCHMAR, T, additional, and KÖHL, J, additional
- Published
- 1992
- Full Text
- View/download PDF
35. Numerical understanding of regional scale water table behavior in the Guadalupe Valley aquifer, Baja California, Mexico.
- Author
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Campos-Gaytan, J. R. and Kretzschmar, T.
- Abstract
A regional groundwater flow model was developed, in order to evaluate the water table behavior in the region of the Guadalupe Valley, in Baja California, Mexico. The State of Baja California has been subject to an increment of the agricultural, urban and industrials activities, implicating a growing water-demand. However, the State is characterized by its semi-arid climate with low surface water availability; resulting in an extensive use of groundwater in local aquifer. Based on historic piezometric information of the last two decades, however, a negative evolution could be observed, resulting a negative storage volume. So far, there is not an integral hydrogeological evaluation that determine the real condition of the groundwater resource, and that permit to planning a management of the Guadalupe Valley Aquifer. A steady-state calibration model was carried out in order to obtain the best possible match to measured levels at the Guadalupe Valley Aquifer. The contours of calculated water table elevations for January 1983 were reproduced. Generally, the comparison of the observed and calculated water table configurations have a good qualitative and quantitatively adjustment. Nowadays, it is count with a hydrogeological model that can be used for simulates the groundwater flow in the region of the Guadalupe Valley. [ABSTRACT FROM AUTHOR]
- Published
- 2006
- Full Text
- View/download PDF
36. Bypassing hybridoma technology: HLA-C reactive human single-chain antibody fragments (scFv) derived from a synthetic phage display library (HuCAL) and their potential to discriminate HLA class I specificities.
- Author
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Margaret, M., Sharma, B.B., Tesar, M., Kretzschmar, T., Jenisch, S., Westphal, E., Davarnia, P., Weiss, E., Ulbrecht, M., Kabelitz, D., and Kronke, M.
- Subjects
IMMUNOGLOBULINS ,BACTERIOPHAGES ,ANTIGENS ,FLOW cytometry - Abstract
The generation of discriminative, monospecific anti-HLA antibodies used to be a difficult endeavor. Phage display technology, using single-chain antibody fragments (scFv) offers a powerful alternative obtaining target-specific, genetically stable reagents. Most of scFv obtained to date have been enriched by panning phage libraries to solid-phase coupled antigens. In the present study, HLA-C-specific scFv were isolated using a synthetic phage library in combination with a Cw*0602 overexpressing cell line. ScFv from this procedure precipitated HLA-Cw*0602 heavy chains from whole cell lysates. Flow cytometry analysis revealed that scFv stained HLA-Cw*0602-positive cells, but not cells expressing HLA alleles Cw*0302, Cw*0802, A*0201, B*2705, or Gm1*01011, indicating the specificity of scFv. Similarly they showed an ability to discriminate Cw*0602-positive from Cw*0602-negative peripheral blood lymphocytes (PBL). The rsults of our study demonstrate the feasibility to genetically engineer single-chain HLA-class I-specific antibodies, by phage display technology. This approach might be a valuable tool to develop a broad range of novel monospecific antibodies against HLA-class I specificities. [ABSTRACT FROM AUTHOR]
- Published
- 2000
37. Chemical and stable isotope composition of surface and groundwater in the surroundings of the Los Humeros Caldera, Puebla, Mexico
- Author
-
Kretzschmar Thomas, Lelli Matteo, Alfaro Ruth, Sanchez Juan Ignacio, and Ramos Yann Rene
- Subjects
Environmental sciences ,GE1-350 - Abstract
It is important to develop a regional hydrogeological model to identify possible recharge and discharge areas for a sustainable use of a geothermal reservoir. The Los Humeros geothermal area is situated within five surficial watersheds and coveres an area of more than 15.000 km2. A total of 208 well and spring samples were collected between June 2017 and November 2018. The stable isotope data for this region define a regression line of δDH2O = 8.032·δ18O + 12 and indicate that groundwater is recharged by regional precipitation. At least 39 groundwater wells, with a maximum temperature of 35 °C, show temperatures above the reported mean average surface temperature of 15 °C. Characteristic elements for geothermal reservoir fluids (B, Li, As) are also present in these groundwaters, indicating a possible connection between the reservoir fluid and the local groundwater through local fracture systems. Concentration of B in these hot wells is between 150 and 35000 ppb.
- Published
- 2019
- Full Text
- View/download PDF
38. High-level expression in insect cells and purification of secreted monomeric single-chain Fv antibodies
- Author
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Kretzschmar, T., Aoustin, L., Zingel, O., Marangi, M., Vonach, B., Towbin, H., and Geiser, M.
- Published
- 1996
- Full Text
- View/download PDF
39. Scoring functions for computational algorithms applicable to the design of spiked oligonucleotides.
- Author
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Jensen, L J, Andersen, K V, Svendsen, A, and Kretzschmar, T
- Abstract
Protein engineering by inserting stretches of random DNA sequences into target genes in combination with adequate screening or selection methods is a versatile technique to elucidate and improve protein functions. Established compounds for generating semi-random DNA sequences are spiked oligonucleotides which are synthesised by interspersing wild type (wt) nucleotides of the target sequence with certain amounts of other nucleotides. Directed spiking strategies reduce the complexity of a library to a manageable format compared with completely random libraries. Computational algorithms render feasible the calculation of appropriate nucleotide mixtures to encode specified amino acid subpopulations. The crucial element in the ranking of spiked codons generated during an iterative algorithm is the scoring function. In this report three scoring functions are analysed: the sum-of-square-differences function s, a modified cubic function c, and a scoring function m derived from maximum likelihood considerations. The impact of these scoring functions on calculated amino acid distributions is demonstrated by an example of mutagenising a domain surrounding the active site serine of subtilisin-like proteases. At default weight settings of one for each amino acid, the new scoring function m is superior to functions s and c in finding matches to a given amino acid population.
- Published
- 1998
- Full Text
- View/download PDF
40. Water balance in a semi-arid Basin: El Mogor, Baja California, Mexico
- Author
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Francisco Del Toro, Kretzschmar, T., and Hinojosa-Corona, A.
41. Evaluation of antibodies fused to minor coat protein III and major coat protein VIII of bacteriophage M13
- Author
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Kretzschmar, T. and Geiser, M.
- Published
- 1995
- Full Text
- View/download PDF
42. Mantle Degassing Through Continental Crust Triggered by Active Faults: The Case of the Baja California Peninsula, Mexico
- Author
-
Fausto Grassa, Efraín Gómez‐Arias, Antonio González Fernández, Andrea Luca Rizzo, Thomas Kretzschmar, Rubén Bernard Romero, Ramón Yosvanis Batista Cruz, Batista Cruz, R, Rizzo, A, Grassa, F, Romero, R, Fernandez, A, Kretzschmar, T, and Gomez-Arias, E
- Subjects
magmatic and hydrothermal gase ,δ13CCO2 ,geography ,geography.geographical_feature_category ,Continental crust ,Geochemistry ,Active fault ,Mantle (geology) ,tectonic ,Tectonics ,Geophysics ,Geochemistry and Petrology ,Peninsula ,3He/4He ,Baja California ,mantle degassing ,Geology - Abstract
In this work, we report new chemical and isotopic data (3He/4He, δ13CCO2, δ13CCH4, and δDCH4) from poorly or previously unstudied hydrothermal and magmatic gases that are emitted along the eastern coast of the Baja California Peninsula (BCP). High 3He/4He values (up to ~7 Ra) characterize the magmatic gases, while lower ratios (≤1.6 Ra) characterize hydrothermal springs. We infer that the mantle beneath the BCP could be Mid-ocean-ridge basalt (MORB)-likes, as in the rift within the Gulf of California, or it may reflect contamination from C-rich sediment during paleo-subduction of the Farallon plate. During their ascent, through the crust, mantle/magmatic gases mix with CO2- and 4He-rich fluids, thus forming CO2-rich hydrothermal gases. These hydrothermal gases undergo partial dissolution of CO2 in shallow waters under different temperature and pH conditions, which further modifies their composition. Thermogenic and possibly abiogenic sources of methane are present only in magmatic gases from the BCP. Secondary methane oxidation (microbial/inorganic) processes are proposed for some hydrothermal gases, which are extremely enriched in heavy isotopes. Finally, we argue that the hydrothermal gases that are emitted from the BCP have variable percentages of mantle contribution, indicating the presence of lithospheric faults enhancing the rise of mantle fluids also in areas where volcanism is absent.
- Published
- 2019
43. Building a community-driven bioinformatics platform to facilitate Cannabis sativa multi-omics research.
- Author
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Mansueto L, Kretzschmar T, Mauleon R, and King GJ
- Abstract
Global changes in cannabis legislation after decades of stringent regulation and heightened demand for its industrial and medicinal applications have spurred recent genetic and genomics research. An international research community emerged and identified the need for a web portal to host cannabis-specific datasets that seamlessly integrates multiple data sources and serves omics-type analyses, fostering information sharing. The Tripal platform was used to host public genome assemblies, gene annotations, quantitative trait loci and genetic maps, gene and protein expression data, metabolic profiles and their sample attributes. Single nucleotide polymorphisms were called using public resequencing datasets on three genomes. Additional applications, such as SNP-Seek and MapManJS, were embedded into Tripal. A multi-omics data integration web-service Application Programming Interface (API), developed on top of existing Tripal modules, returns generic tables of samples, properties and values. Use cases demonstrate the API's utility for various omics analyses, enabling researchers to perform multi-omics analyses efficiently., Availability and Implementation: The web portal can be accessed at www.icgrc.info., Competing Interests: The authors declare that they have no competing interests., (© The Author(s) 2024.)
- Published
- 2024
- Full Text
- View/download PDF
44. CannSeek? Yes we Can! An open-source single nucleotide polymorphism database and analysis portal for Cannabis sativa .
- Author
-
Mansueto L, McNally KL, Kretzschmar T, and Mauleon R
- Abstract
A growing interest in Cannabis sativa uses for food, fiber, and medicine, and recent changes in regulations have spurred numerous genomic studies of this once-prohibited plant. Cannabis research uses Next Generation Sequencing technologies for genomics and transcriptomics. While other crops have genome portals enabling access and analysis of numerous genotyping data from diverse accessions, leading to the discovery of alleles for important traits, this is absent for cannabis. The CannSeek web portal aims to address this gap. Single nucleotide polymorphism datasets were generated by identifying genome variants from public resequencing data and genome assemblies. Results and accompanying trait data are hosted in the CannSeek web application, built using the Rice SNP-Seek infrastructure with improvements to allow multiple reference genomes and provide a web-service Application Programming Interface. The tools built into the portal allow phylogenetic analyses, varietal grouping and identifications, and favorable haplotype discovery for cannabis accessions using public sequencing data., Availability and Implementation: The CannSeek portal is available at https://icgrc.info/cannseek, https://icgrc.info/genotype_viewer., Competing Interests: The authors declare that they have no competing interests., (© The Author(s) 2024.)
- Published
- 2024
- Full Text
- View/download PDF
45. Generation of human induced pluripotent stem cell lines UKJi001-A and UKJi006-A from patients with heterozygous mutation in the PKP2 gene.
- Author
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Bekhite MM, Hübner S, Kretzschmar T, Backsch C, Weise A, Klein E, Bogoviku J, Westphal J, and Christian Schulze P
- Abstract
One of the main signs we do not know enough about arrhythmogenic right ventricular dysplasia 9/cardiomyopathy (ARVCD9, OMIM #609040, autosomal dominant) is the lack of early markers and therapeutic alternatives. To better study disease pathways in vitro, we generated human induced pluripotent stem cell (hiPSC) lines from the father (UKJi006-A) and son (UKJi001-A), who both shared the same heterozygous mutation in the PKP2 gene (OMIM *602861). While the father had a clinical diagnosis of ARVC, the son lacked the ARVC phenotype. To generate hiPSC lines, non-integrating Sendai virus (SeV) vectors expressing the reprogramming factors (OCT4, SOX2, KLF4, and c-MYC) were used for reprogramming patient peripheral blood mononuclear cells (PBMCs)., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
46. Importance of Media Composition and Explant Type in Cannabis sativa Tissue Culture.
- Author
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Das R, Kretzschmar T, and Mieog JC
- Abstract
Producing uniform Cannabis sativa (Cannabis) for medicinal/recreational flower production through sexual propagation has been problematic, leading to dominance of clonal propagation from "mother plants" in the cannabinoid industry, which also faces significant limitations. Cannabis tissue culture (TC) methods have been developed to overcome these challenges, but the long-term health and maintenance of Cannabis explants in TC have been largely overlooked in previous studies. The current study focused on the development of an efficient and optimized micropropagation protocol covering the entire process, with a specific focus on the health and performance in the multiplication stage. Multiplication media were formulated hormone-free to avoid longer-term vitrification issues, resulting in single-main-shoot cultures rather than multiple-shoot cultures. This instigated the use of stage II explant types different from the standard shoot tips previously used for multiple shoot cultures. Multiplication media were further improved from the basal salt composition via nitrogen and calcium additives. The optimized protocol was used on eight diverse Cannabis cultivars to test its applicability across various genetic backgrounds. Results indicated that the protocol was effective for conservation purposes across all cultivars and achieved good long-term multiplication rates for some but not all. The outcomes of this study mark a significant stride towards an efficient Cannabis TC methodology ready for more comprehensive industrial applications.
- Published
- 2024
- Full Text
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47. Machine learning approach for high-throughput phenolic antioxidant screening in black Rice germplasm collection based on surface FTIR.
- Author
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Herath A, Tiozon RJ, Kretzschmar T, Sreenivasulu N, Mahon P, and Butardo V Jr
- Subjects
- Spectroscopy, Fourier Transform Infrared, Seeds chemistry, High-Throughput Screening Assays, Oryza chemistry, Machine Learning, Antioxidants chemistry, Phenols chemistry, Phenols analysis
- Abstract
Pigmented rice contains beneficial phenolic antioxidants but analysing them across germplasm collections is laborious and time-consuming. Here we utilised rapid surface Fourier transform infrared (FTIR) spectroscopy and machine learning algorithms (ML) to predict and classify polyphenolic antioxidants. Total phenolics, flavonoids, anthocyanins, and proanthocyanidins were quantified biochemically from 270 diverse global coloured rice collection and attenuated total reflectance (ATR) FTIR spectra were obtained by scanning whole grain surfaces at 800-4000 cm
-1 . Five ML classification models were optimised using the biochemical and spectral data which performed predictions with 93.5%-100% accuracy. Random Forest and Support Vector Machine models identified key FTIR peaks linked to flavonols, flavones and anthocyanins as important model predictors. This research successfully established direct and non-destructive surface chemistry spectroscopy of the aleurone layer of pigmented rice integrated with ML models as a viable high-throughput platform to accelerate the analysis and profiling of nutritionally valuable coloured rice varieties., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Tobias Kretzschmar reports financial support was provided by Australian Research Council. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)- Published
- 2024
- Full Text
- View/download PDF
48. HASCH - A high-throughput amplicon-based SNP-platform for medicinal cannabis and industrial hemp genotyping applications.
- Author
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Mansueto L, Tandayu E, Mieog J, Garcia-de Heer L, Das R, Burn A, Mauleon R, and Kretzschmar T
- Subjects
- High-Throughput Nucleotide Sequencing methods, Genome, Plant, Genotype, Polymorphism, Single Nucleotide, Cannabis genetics, Genotyping Techniques methods, Medical Marijuana
- Abstract
Background: Cannabis sativa is seeing a global resurgence as a food, fiber and medicinal crop for industrial hemp and medicinal Cannabis industries respectively. However, a widespread moratorium on the use and research of C. sativa throughout most of the 20th century has seen the development of improved cultivars for specific end uses lag behind that of conventional crops. While C. sativa research and development has seen significant investments in the recent past, resulting in a suite of publicly available genomic resources and tools, a versatile and cost-effective mid-density genotyping platform for applied purposes in breeding and pre-breeding is lacking. Here we report on a first mid-density fixed-target SNP platform for C. sativa., Results: The High-throughput Amplicon-based SNP-platform for medicinal Cannabis and industrial Hemp (HASCH) was designed using a combination of filtering and Integer Linear Programming on publicly available whole-genome sequencing and RNA sequencing data, supplemented with in-house generated genotyping-by-sequencing (GBS) data. HASCH contains 1,504 genome-wide targets of high call rate (97% mean) and even distribution across the genome, designed to be highly informative (> 0.3 minor allele frequency) across both medicinal cannabis and industrial hemp gene pools. Average numbers of mismatch SNP between any two accessions were 251 for medicinal cannabis (N = 116) and 272 for industrial hemp (N = 87). Comparing HASCH data with corresponding GBS data on a collection of diverse C. sativa accessions demonstrated high concordance and resulted in comparable phylogenies and genetic distance matrices. Using HASCH on a segregating F2 population derived from a cross between a tetrahydrocannabinol (THC)-dominant and a cannabidiol (CBD)-dominant accession resulted in a genetic map consisting of 310 markers, comprising 10 linkage groups and a total size of 582.7 cM. Quantitative Trait Locus (QTL) mapping identified a major QTL for CBD content on chromosome 7, consistent with previous findings., Conclusion: HASCH constitutes a versatile, easy to use and cost-effective genotyping solution for the rapidly growing Cannabis research community. It provides consistent genetic fingerprints of 1504 SNPs with wide applicability genetic resource management, quantitative genetics and breeding., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
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49. Quantitative Investigation of Quantum Emitter Yield in Drop-Casted Hexagonal Boron Nitride Nanoflakes.
- Author
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Kretzschmar T, Ritter S, Kumar A, Vogl T, Eilenberger F, and Schmidt F
- Abstract
Single photon emitters (SPEs) are a key component for their use as pure photon source in quantum technologies. In this study, we investigate the generation of SPEs from drop-casted hexagonal boron nitride (hBN) nanoflakes, examining the influence of the immersion solution and the source of hBN. We show that, depending on the utilized supplier and solution, the number and quality of the emitters change. We perform a comprehensive optical characterization of the deposited nanoflakes to assess the quality of the generated SPEs. Importantly, we provide quantitative data on SPE yields, highlighting significant variations among solvents and different sources of hBN. We find that hBN from Merck drop-casted in acetone provided the best quality emitters with a g
(2) < 0.1 and photoluminescence intensities above 300 kCounts/s. Their number of SPEs among all photon emitters was also the highest, with about 14%, rendering a total yield of about 1.25% of all drop-casted flakes. These numbers hold particular significance when evaluating drop-casting as a practical method for the generation of SPEs and their deposition and incorporation within existing nanophotonic systems. By choosing appropriate solvents and source materials' quality and yield of SPEs can be significantly increased, showcasing further optimization potential for the development of future quantum applications., Competing Interests: The authors declare no competing financial interest., (© 2024 The Authors. Published by American Chemical Society.)- Published
- 2024
- Full Text
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50. Why not XY? Male monoecious sexual phenotypes challenge the female monoecious paradigm in Cannabis sativa L.
- Author
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Garcia-de Heer L, Mieog J, Burn A, and Kretzschmar T
- Abstract
Monoecy in Cannabis sativa L. has long been considered an industrially important trait due to the increased uniformity it offers and was thought to be exclusively associated with XX females. The isolation and characterisation of a monoecious individual with XY chromosomes sourced from non-proprietary germplasm is reported for the first time. The chromosomal make up of this trait was confirmed through inflorescence structure, growth habit, PCR analysis and sexual phenotypes of progeny from a series of targeted crosses. The identification of an XY monoecious phenotype widens our understanding of monoecy in Cannabis and has important implications for breeding, particularly for producing F1-hybrid seed., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Garcia-de Heer, Mieog, Burn and Kretzschmar.)
- Published
- 2024
- Full Text
- View/download PDF
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