Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: http://www.addgene.org/16979
Proper Citation: RRID:Addgene_16979
Insert Name: Goosecoid
Organism: Xenopus laevis
Bacterial Resistance: Ampicillin
Defining Citation: PMID:
Vector Backbone Description: Backbone Size:3000; Vector Backbone:SP64T; Vector Types:Bacterial Expression; Bacterial Resistance:Ampicillin
Comments: Insert: coding region of Xenopus goosecoid in SP64T in sense (#9) & antisense (#2) orientation. Transcription: linearize with EcoR1 and transcribe with SP6. Plasmid History: Constructed by Jan Christian by PCR. Goosecoid cloned and characterized by lab of E. DeRobertis, UCLA.
Expand AllWe found {{ ctrl2.mentions.all_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for XP11 Goosecoid.
No alerts have been found for XP11 Goosecoid.
Source: Addgene
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
