CORE
CO
nnecting
RE
positories
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Research partnership
About
About
About us
Our mission
Team
Blog
FAQs
Contact us
Community governance
Governance
Advisory Board
Board of supporters
Research network
Innovations
Our research
Labs
Quantitative Determination of Primary Cilia Protein Distribution Using Immunofluorescence Staining and MATLAB Analysis
Authors
M Fivaz
AD Jenks
BE Tanos
Publication date
5 December 2021
Publisher
'Bio-Protocol, LLC'
Doi
View
on
PubMed
Abstract
Copyright: © 2021 The Authors. Primary cilia are microtubule-based sensory organelles surrounded by membrane. They can detect mechanical and chemical stimuli. The last few years have uncovered cilia as unique signaling hubs that host a number of receptors and effector molecules. Thus, defining how specific proteins localize and are distributed along the cilium is critical to understanding its function. Quantitative immunofluorescence can be used to accurately assess the localization of receptors and signaling molecules within the primary cilia. However, image analysis can be time consuming, and there are limited programs that can accurately determine staining intensity along the cilia. To overcome these issues, we developed a series of MATLAB scripts to accurately measure staining intensity along the length of the cilia, in both a semi-automated and automated fashion. Here, we describe the scripts and include a protocol for image analysis for each. With these scripts, the protocols can be used to analyze the distribution of any ciliary protein using immunofluorescence images.Institute of Cancer Research; Sarcoma UK grant
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Brunel University Research Archive
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:bura.brunel.ac.uk:2438/239...
Last time updated on 07/02/2022
PubMed Central
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:pubmedcentral.nih.gov:8678...
Last time updated on 16/12/2022