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URL: http://www.addgene.org/12343
Proper Citation: RRID:Addgene_12343
Bacterial Resistance: Ampicillin
Defining Citation: PMID:8764092
Vector Backbone Description: Backbone Marker:Verma Lab; Backbone Size:7807; Vector Backbone:pCLXSN; Vector Types:Mammalian Expression, Retroviral; Bacterial Resistance:Ampicillin
Comments: A 3.1-kb fragment of LXSN, spanning from the SacI site in the 5'LTR near the U3-R junction to the AccI site just beyond the 3'LTR, was cloned into the 4.5-kb CMV expression construct, CMX-low, at a corresponding SacI site within the CMV immediate early enhancer-promoter. NOTE: The depositor map indicated an EcoRI site present in this plasmid, but that site is ablated by a small insert.
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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
