slide1
Download
Skip this Video
Download Presentation
Neural Representations of Airflow in Drosophila Mushroom Body

Loading in 2 Seconds...

play fullscreen
1 / 14

Neural Representations of Airflow in Drosophila Mushroom Body - PowerPoint PPT Presentation


  • 95 Views
  • Uploaded on

Neural Representations of Airflow in Drosophila Mushroom Body Akira Mamiya1, Jennifer Beshel1, Chunsu Xu1,2, Yi Zhong1* 1 Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America, 2 SUNY Stony Brook, Stony Brook, New York, United States of America.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Neural Representations of Airflow in Drosophila Mushroom Body' - burke-ashley


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1
Neural Representations of Airflow in Drosophila Mushroom Body

Akira Mamiya1, Jennifer Beshel1, Chunsu Xu1,2, Yi Zhong1*

1 Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America,

2 SUNY Stony Brook, Stony Brook, New York, United States of America

  • Take home points:
  • Goal: characterize the responses of MB neurons to changes in airflow
  • Method: In vivo calcium imaging from multiple MB regions using genetically altered fruit fly lines and 2-photon microscopy
  • Results:
    • Responses to an airflow stimulus from several sub regions of the MB
    • Different MB sub regions responded differently to different aspects (i.e. on/off responses)
    • Possibly sub sub regions respond differently
    • Dependent on the movement of the 3rd antennal segment suggesting JO involvement
slide2
Method
  • Get TG fruitflies that have a calcium sensor
    • UAS-G-CaMP1.3
    • UAS-G-CaMP1.6
  • Cross with GAL4 fruit fly lines that will allow targeted expression of the calcium sensor in specific cells
    • OK107-Gal4: non-selective MB general
    • c739-Gal4: A/B lobe neurons
    • g0050-Gal4 and c305a-Gal4: A’/B’ lobe neurons
  • Fix fruit fly to an imaging stage
  • Puff air and measure fluorescence:
    • 3s stims
    • 100 ml/min (1.2m/s )
    • 3 min ITI
  • Analyses based on ΔF/Fo which is a measure of changes in Ca++ induced florescence on a pixel by pixel basis
slide3
Figure 1

Experimental recording sites and raw ΔF/Fo

slide4
Temporal dynamics of responses
    • 1 s data integration window (3 frames)
    • Averaged results

Figure 2

slide5
Figure 2

Mean On, off responses as a function of lobes

The total area involved in response

slide6
Figure 3

Different Gal4 lines show that A,B and A’B’ have different response profiles

  • OK107-Gal4: non-selective MB general
  • c739-Gal4: A/B lobe neurons
  • g0050-Gal4 and c305a-Gal4: A’/B’ lobe neurons
slide7
Figure 4
  • Responses generally depend on movement of the 3rd antennal segment
    • When glued Ca++ responses are greatly diminished
slide8
Figure 4
  • Responses generally depend on movement of the 3rd antennal segment
    • When glued Ca++ responses are greatly diminished

By comparison with Figure 2 most areas have dropped

slide9
Figure 5

Sub region specific responses to “on” and “off” phases of the stimulus

slide10
Figure 5

Watershed Segmentation highlights sub region specific responses

slide11
Figure 6

“On Off Selectivity Index” (OSI) highlights watershed “patches” within lobes as “on” or “off” response selective (or neither)

slide12
Figure 7

Off responding patches are spatially organized and stereotypic across individuals

slide13
Figure 8

Using two Gal4 lines they show that the off and on responses are different subsets of cells

slide14
Figure 8

g0050-Gal4 cells are significantly more off responsive than c305a-Gal4

ad