Back to Search
Start Over
An image analysis method for regionally defined cellular phenotyping of the Drosophila midgut
- Source :
- Cell Reports Methods. 1:100059
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- The intestine is divided into functionally distinct regions along the anteroposterior (A/P) axis. How the regional identity influences the function of intestinal stem cells (ISCs) and their offspring remain largely unresolved. We introduce an imaging-based method, “Linear Analysis of Midgut” (LAM), which allows quantitative, regionally defined cellular phenotyping of the whole Drosophila midgut. LAM transforms image-derived cellular data from three-dimensional midguts into a linearized representation, binning it into segments along the A/P axis. Through automated multivariate determination of regional borders, LAM allows mapping and comparison of cellular features and frequencies with subregional resolution. Through the use of LAM, we quantify the distributions of ISCs, enteroblasts, and enteroendocrine cells in a steady-state midgut, and reveal unprecedented regional heterogeneity in the ISC response to a Drosophila model of colitis. Altogether, LAM is a powerful tool for organ-wide quantitative analysis of the regional heterogeneity of midgut cells.
- Subjects :
- Cellular data
Enteroendocrine cell
Linear analysis
digestive system
Biochemistry, Genetics and Molecular Biology (miscellaneous)
Biochemistry
03 medical and health sciences
0302 clinical medicine
Midgut
Genetics
Radiology, Nuclear Medicine and imaging
Drosophila (subgenus)
injury response
Analysis method
030304 developmental biology
0303 health sciences
Organ-wide
biology
fungi
1184 Genetics, developmental biology, physiology
imaging
drosophila
biology.organism_classification
Computer Science Applications
Cell biology
stem cell
030220 oncology & carcinogenesis
Stem cell
Function (biology)
Biotechnology
Subjects
Details
- ISSN :
- 26672375
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- Cell Reports Methods
- Accession number :
- edsair.doi.dedup.....ae25bf757d6e6576141d4f66047c17f4