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URL: http://www.addgene.org/13446
Proper Citation: RRID:Addgene_13446
Insert Name: ROSAFARY
Bacterial Resistance: Ampicillin
Defining Citation: PMID:14981515
Vector Backbone Description: Backbone Size:4800; Vector Backbone:na; Vector Types:Mammalian Expression, Retroviral; Bacterial Resistance:Ampicillin
Comments: ROSAFARY=reverse orientation splice acceptor for array. This retroviral gene trap vector contains a promoter trap module (SAbetageo*pA) and a polyA trap module (PGKhygSD). Order of elements: 5' UTR, adenoviral splice acceptor (SA), a more sensitive lacZ-neo reporter (betageo*), bovine growth hormone polyA (bpA), FRT site, PGK promoter-driven hygromycin gene, adenoviral splice donor, FRT site, 3' UTR.
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Source: Addgene (RRID:SCR_002037)
Description: Non-profit plasmid repository dedicated to helping scientists around the world share high-quality plasmids. Facilitates archiving and distributing DNA-based research reagents and associated data to scientists worldwide. Repository contains over 65,000 plasmids, including special collections on CRISPR, fluorescent proteins, and ready-to-use viral preparations. There is no cost for scientists to deposit plasmids, which saves time and money associated with shipping plasmids themselves. All plasmids are fully sequenced for validation and sequencing data is openly available. We handle the appropriate Material Transfer Agreements (MTA) with institutions, facilitating open exchange and offering intellectual property and liability protection for depositing scientists. Furthermore, we curate free educational resources for the scientific community including a blog, eBooks, video protocols, and detailed molecular biology resources.
URL: http://www.addgene.org
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
