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: https://web.expasy.org/cellosaurus/CVCL_UF15
Proper Citation: RRID:CVCL_UF15
Description: Cell line DIF9 is a Cancer cell line with a species of origin Homo sapiens (Human)
Sex: Male
Disease: EBV-related Burkitt lymphoma
Defining Citation: PMID:2580049, PMID:2937878
Comments: Characteristics: Resistant to both the antiviral and antiproliferative actions of interferons., Population: African; Kenyan.
Category: Cancer cell line
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 DIF9.
No alerts have been found for DIF9.
Source: Cellosaurus
dkNET can assist you in preparing authentication plans for cell lines to comply with the NIH Submission Policy. The information can be used while planning your experiments or submitting grant applications. The authentication plan for the cell lines is based on the International Cell Line Authentication Committee (ICLAC)'s "Cell Line Checklist for Manuscripts and Grant Applications" and the example "Authentication of of Key Biological and/or Chemical Resources "(Bandrowski A). For best practices for authenticating cell lines, 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.
