Developmental Growth, Mechanics and Hippo Signalling in Drosophila

1:00pm - 2:00pm / Monday 3rd February 2020 / Venue: Lecture Theatre 1 Life Sciences Building
Type: Seminar / Category: Research / Series: GSTT Seminar Series
  • Suitable for: Those with an interest in Genomes, Systems and Therapeutic Targeting
  • Admission: Free
  • Add this event to my calendar
    (?)

    When you click on "Add this event to my calendar" your browser will download an ics file.

    Microsoft Outlook: Download the file, then you may be able to click on "Save & Close" to save it to your calendar. If that doesn't work go into Outlook, click on the File tab, then on Open, then Import. Select "Import an iCalendar (.ic or vCalendar file (.vcs)" then click on Next. Find the .ics file and click on OK.

    Google Calendar: download the file, then go into your calendar. On the right where it says "Other calendars" click on the arrow icon and then click on Import calendar. Click on Browse and select the .ics file, then click on Import.

    Apple Calendar: download the file, then you can either drag it to Calendar or import the file by going to File > Import > Import and choosing the .ics file.

Speaker: Nic Tapon (The Crick Institute)

During development, multicellular organisms undergo stereotypical patterns of tissue growth to yield organs of highly reproducible sizes and shapes. These patterns of growth are thought to be dictated by chemical (hormones and morphogens) physical (mechanical forces) and environmental (nutrient availability) cues. However, we lack a comprehensive view of the growth phase of development due to the difficulty of collecting and analysing quantitative parameters of tissue growth over long time periods. Nic is using live videomicroscopy, image segmentation and cell tracking to unravel the patterns of tissue growth in the Drosophila abdomen. Nic will discuss his latest work on the control of developmental tissue growth by the Hippo signalling pathway, mechanical forces and the remodelling of the extracellular matrix.