Characterization of Islet Leukocyte Populations in Human and Murine Islets by Flow Cytometry.
Clicks: 357
ID: 57728
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
357 views
40 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #25 of 139 articles by views in methods in molecular biology (clifton, nj)
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 139 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
An increasing body of evidence indicates that a local islet immune response is not only limited to type 1 diabetes, but also is associated with islet dysfunction in type 2 diabetes. Recently, the presence of pancreatic CD68 macrophages within islet tissues was demonstrated by RT-PCR and immunohistochemical methods. However, the precise profile and activation status of intraislet leukocytes, which are present in both murine and human islets, are poorly defined. Here, we describe a detailed flow cytometry protocol designed to analyze both human and murine islets for intraislet leukocytes and leukocyte subsets. This approach permits the simultaneous identification of multiple intraislet leukocyte subsets, as well as their activation statuses. The use of flow cytometry-based approaches will advance the field of islet biology and help to identify unique changes in the immune cell composition that accompanies pathological islet inflammation and dysfunction in type 2 diabetes.
| Reference Key |
butcher2020characterizationmethods
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Butcher, Matthew J;Trevino, Michelle B;Imai, Yumi;Galkina, Elena V; |
| Journal | methods in molecular biology (clifton, nj) |
| Year | 2020 |
| DOI |
10.1007/978-1-4939-9882-1_10
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.