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://antibodyregistry.org/AB_10749914
Proper Citation: Biorbyt Cat# orb11374, RRID:AB_10749914
Target Antigen: SLC4A7 antibody
Host Organism: rabbit
Clonality: polyclonal
Comments: manufacturer recommendations: IgG Western Blot; ELISA; ELISA, WB
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 SLC4A7 antibody.
No alerts have been found for SLC4A7 antibody.
Source: Antibody Registry
dkNET can assist you in preparing authentication plans for antibodies to comply with the NIH Submission Policy. The information can be used while planning your experiments or submitting grant applications. The authentication plan for antibodies is based on methods suggested in "A proposal for validation of antibodies" (Uhlen M et. al., 2016), the guideline published in the Journal of Comparative Neurology (Saper C, 2005)(2), and the example " Authentication of of Key Biological and/or Chemical Resources "(Bandrowski A). For best practices for authenticating antibodies, check our Authentication Reports services.
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.
