Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes
Protocol Name
DOI:10.17504/protocols.io.tdwei7e RRID Copied  
PDF Report How to cite
Kevin Nee, Quy Nguyen, Kai Kessenbrock 2018. Single Nuclei RNA Sequencing of Breast Adipose Tissue (10x Nuclei-Seq) . protocols.io dx.doi.org/10.17504/protocols.io.tdwei7e
Copy Citation Copied
Protocol Information

URL: https://dx.doi.org/10.17504/protocols.io.tdwei7e

Authors: Kevin Nee, Quy Nguyen, Kai Kessenbrock

Group: Human Cell Atlas Method Development Community

Summary: Breast cancer originates in the mammary gland epithelium, however growing evidence demonstrates that the diverse array of stromal tissues influence the behavior of breast epithelium and has key roles in the pathogenesis of breast cancer. Despite increased recognition and research, the heterogeneity of the breast stroma (endothelium, fibroblasts, and adipocytes) poses challenges in elucidating which stromal populations are responsible for the complex interactions of the breast microenvironment. To this end, we have employed single cell RNA sequencing (scRNAseq) of the stromal populations within the breast. However adipose tissue, due to its delicate and lipid filled nature is not amenable to these methods of interrogation. To overcome this obstacle, we have developed a method for isolation of adipose nuclei for 10x sequencing. Together, we will use these approaches to investigate the heterogeneity of stroma and adipocytes, and determine the interactions of the breast microenvironment at single-cell resolution. 

Affiliations: University of California-Irvine, Medical Scientist Training Program, School of Medicine, Department of Biological Chemistry, University of California-Irvine, School of Medicine, Department of Biological Chemistry, University of California-Irvine, School of Medicine, Department of Biological Chemistry

Version: 1

Publication Date: 2018

Expand All
Usage and Citation Metrics

Coming soon.

Checkfor all resource mentions.

Collaborator Network

Coming soon.

Data and Source Information

Source: Protocols.io