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URL: http://www.addgene.org/31853
Proper Citation: RRID:Addgene_31853
Bacterial Resistance: Hygromycin
Defining Citation: PMID:12754249
Vector Backbone Description: Backbone Marker:Koen De Smet Imperial College Medical School; Backbone Size:8221; Vector Backbone:pACE; Vector Types:Bacterial Expression, Escherichia coli-Mycobacterium shuttle plasmid; Bacterial Resistance:Hygromycin
Comments: Plasmid can also be grown in mycobacteria. Also see PMID 15342574 for additional reference. Please note that Addgene were unable to verify the His tag in this construct. In addition there is a 1bp mismatch in our ACEpro-F sequence with the available NCBI reference. Depositing lab believes the construct is functional.
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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
