DeadEasy Caspase: Automatic Counting of Apoptotic Cells in Drosophila

نویسندگان

  • Manuel G. Forero
  • Jenny A. Pennack
  • Anabel R. Learte
  • Alicia Hidalgo
چکیده

Development, cancer, neurodegenerative and demyelinating diseases, injury, and stem cell manipulations are characterised by alterations in cell number. Research into development, disease, and the effects of drugs require cell number counts. These are generally indirect estimates, because counting cells in an animal or organ is paradoxically difficult, as well as being tedious and unmanageable. Drosophila is a powerful model organism used to investigate the genetic bases of development and disease. There are Drosophila models for multiple neurodegenerative diseases, characterised by an increase in cell death. However, a fast, reliable, and accurate way to count the number of dying cells in vivo is not available. Here, we present a method based on image filtering and mathematical morphology techniques, to count automatically the number of dying cells in intact fruit-fly embryos. We call the resulting programme DeadEasy Caspase. It has been validated for Drosophila and we present examples of its power to address biological questions. Quantification is automatic, accurate, objective, and very fast. DeadEasy Caspase will be freely available as an ImageJ plug-in, and it can be modified for use in other sample types. It is of interest to the Drosophila and wider biomedical communities. DeadEasy Caspase is a powerful tool for the analysis of cell survival and cell death in development and in disease, such as neurodegenerative diseases and ageing. Combined with the power of Drosophila genetics, DeadEasy expands the tools that enable the use of Drosophila to analyse gene function, model disease and test drugs in the intact nervous system and whole animal.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

DeadEasy Mito-Glia: Automatic Counting of Mitotic Cells and Glial Cells in Drosophila

Cell number changes during normal development, and in disease (e.g., neurodegeneration, cancer). Many genes affect cell number, thus functional genetic analysis frequently requires analysis of cell number alterations upon loss of function mutations or in gain of function experiments. Drosophila is a most powerful model organism to investigate the function of genes involved in development or dis...

متن کامل

09-P052 Making and shaping the renal tubules of Drosophila

ware employs image filtering and mathematical morphology techniques. It counts cell number from a confocal stack of images, by analysing cells in 2D and 3D throughout the whole stack. Quantification is automatic, accurate, objective and very fast, enabling reliable comparisons of multiple specimens of diverse genotypes. Although DeadEasy was developed and validated for Drosophila, it can be use...

متن کامل

09-P050 SoxE genes in mouse inner ear development

ware employs image filtering and mathematical morphology techniques. It counts cell number from a confocal stack of images, by analysing cells in 2D and 3D throughout the whole stack. Quantification is automatic, accurate, objective and very fast, enabling reliable comparisons of multiple specimens of diverse genotypes. Although DeadEasy was developed and validated for Drosophila, it can be use...

متن کامل

09-P051 A genetic screen for genes controlling Tv neuron identity and FMRFamide expression

ware employs image filtering and mathematical morphology techniques. It counts cell number from a confocal stack of images, by analysing cells in 2D and 3D throughout the whole stack. Quantification is automatic, accurate, objective and very fast, enabling reliable comparisons of multiple specimens of diverse genotypes. Although DeadEasy was developed and validated for Drosophila, it can be use...

متن کامل

Cytochrome C and Caspase-3/7 are Involved in Mycophenolic Acid-induced Apoptosis in Genetically Engineered PC12 Neuronal Cells Expressing the p53 Gene

Mycophenolic acid (MPA) is the active metabolite of mycophenolate mofetil. This study designed to investigate the mechanism of cytotoxicity of MPA on the genetically engineered PC12 Tet Off (PTO) neuronal cells with p53 gene. Alamar Blue (AB) reduction showed concentration-dependent cytotoxicity of MPA on PTO cells with IC50 value of 32.32 ± 4.61 mM. The reactive oxygen species (ROS) generation...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • PLoS ONE

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2009