{Reference Type}: Journal Article
{Title}: Identifying Chromosome Movement Patterns During Meiosis Using ChroMo.
{Author}: Pinto-Cruz J;Correas M;Mendoza-Madrigal R;León-Periñán D;Fernández-Álvarez A;
{Journal}: Methods Mol Biol
{Volume}: 2818
{Issue}: 0
{Year}: 2024
暂无{DOI}: 10.1007/978-1-0716-3906-1_18
{Abstract}: During meiosis, transient associations between the nuclear envelope and telomeres transmit nuclear movements to chromosomes, enabling their pairing and recombination. Recent advances in the field of quantitative cell biology allow a large volume of information about the kinetics of these chromosome movements to be extracted and analyzed with the aim of identifying biologically relevant movement patterns. To this end, we have developed ChroMo, a freely available application for the unsupervised study of chromosome movements in fission yeast meiosis. ChroMo contains a set of time series algorithms to identify chromosome movement motifs that are not easily observable by direct human visualization and to establish causal relationships between phenotypes. In this chapter, we present a detailed protocol for the processing of raw live imaging data from fission yeast and its subsequent analysis in ChroMo.