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.
Authors: Kelsey Miller
Summary: Note: If the percentage of CD45+ cells in your sample is less than 50%, please follow Protocol A. If it is higher than 50% then please follow protocol B.The cells targeted by the Nanobeads are either selected or depleted by incubating your sample with the directly conjugated magnetic particles. The magnetically labeled fraction is retained by the use of a magnetic separator. After collection of the targeted cells, downstream applications include functional assays, gene expression, phenotypic characterization, etc.
Proper citation: Kelsey Miller 2016. MojoSort™ Human CD45 Nanobeads Protocol B. protocols.io https://dx.doi.org/10.17504/protocols.io.e22bgge Copy
Authors: Kelsey Miller
Group: BioLegend
Proper citation: Kelsey Miller 2016. ELISPOT Protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.e29bgh6 Copy
Authors: Kelsey Miller
Group: BioLegend
Proper citation: Kelsey Miller 2016. Th9 Polarization of Mouse CD4+ Cells. protocols.io https://dx.doi.org/10.17504/protocols.io.e2cbgaw Copy
Authors: Kelsey Miller
Group: BioLegend
Summary: Anti-BrdU Staining Protocol Using 70% Ethanol and 2N HCl
Proper citation: Kelsey Miller 2017. Anti-BrdU Staining Using 70% Ethanol and 2N HCl. protocols.io https://dx.doi.org/10.17504/protocols.io.hvmb646 Copy
Authors: Kelsey Miller
Summary: Note: If the percentage of CD45+ cells in your sample is less than 50%, please follow Protocol A. If it is higher than 50% then please follow protocol B.The cells targeted by the Nanobeads are either selected or depleted by incubating your sample with the directly conjugated magnetic particles. The magnetically labeled fraction is retained by the use of a magnetic separator. After collection of the targeted cells, downstream applications include functional assays, gene expression, phenotypic characterization, etc.
Proper citation: Kelsey Miller 2016. MojoSort™ Human CD45 Nanobeads Protocol A. protocols.io https://dx.doi.org/10.17504/protocols.io.e2zbgf6 Copy
Authors: Kelsey Miller
Group: BioLegend
Summary: Product description and procedure summary:Target cells are either selected or depleted by incubating your sample with the biotin anti-human CD14 antibody (clone 63D3) followed by incubation with magnetic Streptavidin Nanobeads. The magnetically labeled fraction is retained by the use of a magnetic separator. These are the CD14+ cells, do not discard them if those are your cells of interest. Some of the downstream applications include functional assays, gene expression, phenotypic characterization, etc.
Proper citation: Kelsey Miller 2016. MojoSort™ Human CD14 Selection Kit Protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.e3jbgkn Copy
Authors: Kelsey Miller
Group: BioLegend
Proper citation: Kelsey Miller 2018. Immunohistochemistry Protocol for Sternberger Monoclonal Antibodies. protocols.io https://dx.doi.org/10.17504/protocols.io.tkkekuw Copy
Authors: Kelsey Miller
Group: BioLegend
Summary: Anti-BrdU Staining Protocol Using 70% Ethanol and 2N HCl
Proper citation: Kelsey Miller 2018. Anti-BrdU Staining Using 70% Ethanol and 2N HCl. protocols.io https://dx.doi.org/10.17504/protocols.io.tibekan Copy
Authors: Kelsey Miller
Group: BioLegend
Summary: T regulatory cells (also known as Tregs or Regulatory T cells) are essential cells in
the immune system that suppress immune responses of other cells, designed to
limit excessive reactions and prevent autoimmunity. Tregs are characterized by the
expression of CD4, CD25, and Foxp3, while lacking CD127. CD4+Foxp3+ regulatory
T cells have been referred to as “naturally-occurring” regulatory T cells to distinguish
them from “suppressor” T cell populations that are generated in vitro. While other
variants of suppressive T cells do exist, such as CD8 suppressor cells, Th3 and Tr-1 cells,
Tregs are classically defined as CD4+CD25+Foxp3+ cells. Here, we provide a protocol
for immunofluorescent staining of FOXP3 in frozen sections, adapted from a protocol
from Dr. Matthias Hardtke-Wolenski, Medizinische Hochschule Hannover. This protocol
has been successfully used on mouse spleen, liver, and skin sections.
Proper citation: Kelsey Miller 2017. Immunofluorescent Staining of Foxp3 in Frozen Sections. protocols.io https://dx.doi.org/10.17504/protocols.io.hwbb7an Copy
Authors: Kelsey Miller
Group: BioLegend
Summary: Anti-BrdU Staining Protocol Using 70% Ethanol and 2N HCl
Proper citation: Kelsey Miller 2016. Anti-BrdU Staining Using 70% Ethanol and 2N HCl. protocols.io https://dx.doi.org/10.17504/protocols.io.e2pbgdn Copy
Can't find your Protocol?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. If you want to find a specific protocol and you know the DOI of the protocol already, it's easier to enter a DOI to search. You can refine the search results using Facets on the left side of the search results page. If you are on the table view, you can also search in a specific column by clicking the column title and enter the keywords.
If you still could not find your protocol in the search results, please help us by adding it into the system — it's easy. Create and publish your protocols at Protocols.io.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within dkNET that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
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
