1,725,532 research outputs found
Block Card 2973 115th Street
No full textThis image was produced by the Auditor's Office in Lucas County, Ohio for tax assessment purposes. Associated dates are approximate. Descriptive terms related to this photograph include: garages | 2973 115th Street (Toledo, Ohio) | Koella Place (Toledo, Ohio) | Point Place (Toledo, Ohio) | North Toledo Area (Toledo, Ohio
Summary of outbreak 2013-2973
No full textTitle from PDF caption (viewed on May 14, 2020)."Investigation Number 2013-2973 Summary."This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Residential Buildings: [Delta Cove, 2973 W. Swain Road]
No full textDelta Cove, Peaceful Living, 2973 W. Swain Road, Stockton, CA 95209, (209) 478-0252https://scholarlycommons.pacific.edu/postcards/2743/thumbnail.jp
Engineering Natural Competence into the Fast-growing Cyanobacterium Synechococcus elongatus UTEX 2973
Full text linkSynechococcus elongatus UTEX 2973 is the fastest growing cyanobacterium discovered to date. Using water, carbon dioxide, and light alone, this organism can double in 1.5 hours under optimal conditions. The accelerated doubling exhibited by Synechococcus 2973 makes it a prime candidate to serve as a model photoautotrophic system. However, Synechococcus 2973 lacks one highly desirable feature: it cannot undergo natural transformation. This thesis seeks to engineer this capacity into this fast-growing system in order to create an organism that is both fast growing and naturally competent. Synechococcus 2973 is a unique platform because it is \u3e99% genetically identical to another model cyanobacterium, Synechococcus elongatus PCC 7942, which is naturally transformable. However, this sister system grows much slower (doubling in 4 hours under optimal conditions). In this thesis, a CRISPR/Cas genome editing system was developed for cyanobacteria to allow polymorphic alleles from Synechococcus 7942 to be substituted into Synechococcus 2973 to introduce natural competence to the fast-growing strain. After developing this system, this strategy was used to identify the loci that give rise to the accelerated growth phenotype. Additionally, RNA-sequencing analysis was performed to identify transcriptome differences between Synechococcus 2973 and Synechococcus 7942. With this information in hand, further analysis was performed to identify specific polymorphic loci that give rise to differential natural competence between the two strains. This approach identified two genetic loci that are required to introduce natural competence into Synechococcus 2973: structural transformation pilus component pilN and circadian transcriptional master regulator rpaA. Unfortunately, this engineered strain grew at a reduced rate (doubling in \u3e4 hours), therefore, a directed evolution strategy was used to select against slow growth and to ultimately generate the Synechococcus 2973-T strain. This strain is both fast-growing and naturally transformable and will be an asset for researchers seeking a photoautotrophic model system with these features
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Despacho n. 2973 de 24 de setembro de 2012
No full textIsenções do imposto de renda e da contribuição previdenciária pelo dobro e dispensa da reavaliação médica periódica. Processo STJ n. 8571/2012. Despacho n. 2973
Growth characterization data of Synechococcus elongatus UTEX 2973 in mixed wastewater and in BG11 synthetic growth media
No full text1. Biomass OD correlation (Excel file): Relationship between Synechococcus elongatus UTEX 2973 dry biomass and optical density.2. growthrates data exp1 (Excel file): First set of experiments showing growth rate of Synechococcus elongatus UTEX 2973 in three different mixed wastewater combinations.3. Protein analysis (Excel file): Protein content in Synechococcus elongatus UTEX 2973 using two different cell lysis methods in mixed wastewater and synthetic growth media.4. Nutrient removal by S. elongatus biomass (Excel file): Ammonia, nitrate, and phosphate removal by Synechococcus elongatus UTEX 2973 and abiotic process. 5. Biomass carbohydrate analysis (Excel file): Carbohydrate analysis of Synechococcus elongatus UTEX 2973. 6. growthrate data exp 2 (Excel file): First set of experiments showing growth rate of Synechococcus elongatus UTEX 2973 in one mixed wastewater combination and BG11 synthetic media.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Supplementary Datasets for "The Primary Transcriptome of the Fast-Growing Cyanobacterium Synechococcus elongatus UTEX 2973"
No full textThis file set contains supplementary dataset for paper "Tan, X. et al. The Primary Transcriptome of the Fast-Growing Cyanobacterium Synechococcus elongatus UTEX 2973. (doi.org/10.1186/s13068-018-1215-8)." Please refer to this paper for more information.File Description:Supplementary Dataset 1: Genome-wide visualization of predicted TSS and coverage for the genome of Synechococcus elongatus UTEX 2973.Supplementary Dataset 2: Genome annotation of Synechococcus elongatus UTEX 2973 with predicted TSS positions.How To Cite This Dataset:If you find this dataset useful to your research, please consider to cite the main paper:Tan, X., Hou, S., Song, K., Georg, J., Klähn, S., Lu, X., & Hess, W. R. (2018). The primary transcriptome of the fast-growing cyanobacterium Synechococcus elongatus UTEX 2973. Biotechnology for Biofuels, 11(1), 218.</div
- …
