Aging disrupts spatiotemporal regulation of germline stem cells and niche integrity

A DTC morphometrics package for quantification of complex and variable cellular morphology using ImageJ

Quantification of complex cellular morphology is important for understanding developmental control of cell shape as well as the developmental ramifications of dysregulated cell shape. However, processing and scoring 3D confocal micrographs can be time consuming and prone to errors such as sample-data matching for large datasets, reproducibility between users, and errors introduced by variable image quality. These problems are further compounded where cell shapes vary from sample to sample and intensity dynamic ranges extend over orders of magnitude. Here we present a package of ImageJ macros we developed for analysis of the C. elegans hermaphrodite distal tip cell (DTC) to (a) optimize images for analysis and (b) assist in quantifying various features of the cell by two independent methods, one user-guided and the other unbiased. Together these tools provide functionality for visualization and multiple parameters of quantification which can be easily customized within free open-source ImageJ.

Simplified Quantification of Progenitor Zone Size, an Indicator of Germ Stem Cell Niche Activity, in the Nematode Caenorhabditis elegans

Germ stem cell (GSC) niches are fundamental for the maintenance of the immortal germ cell lineage across generations. In the nematode Caenorhabditis elegans, the simple GSC system has served as an important model for understanding stem cell biology and underlying genetic architecture. GSC niche activity in C. elegans is highly sensitive to subtle environmental and genetic variation. Quantifying variation in the C. elegans GSC niche is therefore essential; however, most methods to do so remain labor-intensive and time-consuming when screening large numbers of individuals. Here, we present a simple and efficient method to estimate the size of the C. elegans GSC niche progenitor pool. This method is ideal for detecting differences in progenitor pool size among different genotypes and environmental treatments during medium- to high-throughput applications such as forward genetic screens and quantitative genetics.