Yellow 1 (Positive Control): Gr28bd-G4, TrpA1-G4

Parameters: Light: intensity (500 Lux side, 1000 Lux bottom); frequency = 20Hz; Delay = 1 ms; Duration = 9.9 ms; volts = 6.4

This is the correlation from the T-maze experiments from Gaia and Naman. Neither ranked nor regular correlation show any significant effect. This means that these effects seem to be random, at least for most of them, is this an overfitting result?

I would say blue 1 is a line that was negative for all the tests I have so far seen. So this might be an interesting line. What to do next?

I would unblind the blue1, which is TH-D’. It was shown to be required for classical conditionning in shock and temperature learning (Galili et al. 2014). Another interesting observation is that th-g4+th-g80 seems to have like zero PI scores in all of the experiments (Naman and Gaia in the Tmaze, Joystick and Y-mazes). So could it be that all of these neurons have indeed a meaning, but is depending every time in the context?? Maybe Vanessa Ruta´s work might be interesting for that.

KLINIKUM PART

The serum from the forth injection recognize the FoxP recombinant protein. The band has the appropriate size

UNIVERSITY PART

I have exchanged the Hom1 domain that had a frameshift. Ready to inject again

Below is a plot of all the flies of 18 genotypes for the wiggle difference. This is calculated by taking the sum of the difference of the tracepoint for each step. Thus, wiggle = sum(difference in tracepoint at each step). This is done for the entire 20 minutes time.

NOTE: The flies have not yet been separated into 2 categories based on pretest values.

Now we wanted to measure the difference in on wiggle and off wiggle. On wiggle is the wiggle for when the fly was in the part which is supposed to have light on and similarly off wiggle is the wiggle when light is supposed to be off(that is in the portion in which we want to train it to be in). So below is the difference of on wiggle and off wiggle i.e – on wiggle – off wiggle:-

mean of this wiggle difference :-

Below is given the plot of effect-sizes of reinforcement of 18 genotypes. On the y-axis are the PI values for learning effect sizes and this is without subtracting the pretest (without normalizing).  These scores are calculated by taking the average of PI values of training periods. We are just comparing reinforcement without normalizing with the previous post showing graphs after subtraction of pretest PI’s.

Reinforcement(without normalizing) = mean of training PI values.

Below is given the plot of effect-sizes of reinforcement of 18 genotypes. On the y-axis are the PI values for learning effect sizes.  These scores are calculated by taking the average of PI values of training periods and then subtracting pretest PI values from it.

Reinforcement scores = mean of training score – pretest PI score

Now below are the mean values of the reinforcements calculated for these 18 genotypes

> Worked on the ping pong ball machine in the last week.
IMG_2907 (1)

The text file looks something like this: Not very sure how to interpret it because there is no column header.

> Did not find any RU486 fly lines in the Brembs fly stock.
What is RU486 and why are we using it? It is a conditional transactivation method that gets activated when introduced with Mifepristone/RU486 and works on the UAS promoter (Roman et al, 2001).

The genes we are knocking down:
1) SERCA gene
2) Ryr gene

Results of the T-maze screen analysis, both individual and combined.

Yellow 1 (Positive Control): Gr28bd-G4, TrpA1-G4

Parameters: Light: intensity (500 Lux side, 1000 Lux bottom); frequency = 20Hz; Delay = 1 ms; Duration = 9.9 ms; volts = 6.4

LMC L1 and L2 Paper

(Coombe, P.E., 1986)

ERG

1. mass electrical response of the eye
2. waveform consisting of summed extracellular potentials produced by retinula cells and postsynaptic neurons
3. recorded by electrodes
4. waveform consists of on transient, negative sustained potential and off transient

L1 and L2

1. Two main reasons to select study upon these two:
   1. Only lamina neurons which are known electrophysiology
   2. Intracellular waveforms roughly correspond to ERG transients

Vam mutants

1. Vam = Vacuolar medulla
2. Semi-dominant mutation (Incomplete dominance)
3. Characterized by formation of large vacuoles and absence of ERG transients

(Electron Micrographs from the lamina) (ERG)

ERG waveform and LMC degeneration

1. No wt showed degeneration of LMC
2. Negative nonlinear relationship between % of LMC degeneration and the size of on/off transients in Vam flies

Results

1. Previous work has shown age-specific degeneration of LMC in the lamina.
2. Signs of degeneration start to appear in the form of large vacuoles in medulla and lamina.
3. LMC may be responsible for ERG transients

The mean ratio of the flies that stay in the middle during the experiments.

Correlation plot between the mean ratio of the flies that stay in the middle versus the Weighted PIs

Slope = 0.0053
Intercept = 0.240
R square value = -0.03834

contrary to the expectations, there seems to be no correlation .