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MUTANT GONORRHEA: A STATISTICAL ANALYSIS Lauren Myers Theory of Statistics

Mutant Gonorrhea: A Statistical Analysis

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Mutant Gonorrhea: A Statistical Analysis. Lauren MyersTheory of Statistics. The Organism. Neisseria gonorrhoeae Etiological agent of gonorrhea Type IV Pili ( Tfp ) are an important virulence factor Filamentous appendages Through cycles of adhesion, retraction, and release, they mediate: - PowerPoint PPT Presentation

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Page 1: Mutant Gonorrhea: A Statistical Analysis

MUTANT GONORRHEA:A STATISTICAL ANALYSISLauren Myers Theory of Statistics

Page 2: Mutant Gonorrhea: A Statistical Analysis

The Organism

Neisseria gonorrhoeae Etiological agent of gonorrhea Type IV Pili (Tfp) are an important virulence factor

Filamentous appendages Through cycles of adhesion, retraction, and release, they

mediate: Twitching motility DNA uptake Host cell adhesion Host cell invasion

The pilus is assembled from many constituent proteins PilC, PilE, PilT, Gcp, etc…

Page 3: Mutant Gonorrhea: A Statistical Analysis

The Experiment

Generated null Gcp mutant Mutant retracted Tfp with much greater force Mutant had increased invasion index

Generated inducible Gcp mutant (IF_1β_4) Uninduced strain should have mutant phenotype Induced strain should have wild type phenotype

Unable to demonstrate consistent invasion phenotype Fe2+ regulation of Gcp

Are we inducing Gcp correctly? Statistical analysis may justify time and expense to

investigate this question

Page 4: Mutant Gonorrhea: A Statistical Analysis

The Data

X and Y are normally distributed random variables, representing the invasion indices of the induced and uninduced mutant, respectively

Table I: Invasion Indices of Induced & Uninduced IF_1β_4

nX = nY = 10 X = 0.0693% Y = 0.0831%

i 1 2 3 4 5 6 7 8 9 10Xi 0.2673% 0.0210% 0.0387% 0.2796% 0.0075% 0.0049% 0.0146% 0.0170% 0.0322% 0.0103%

Yi 0.2097% 0.0102% 0.0054% 0.2767% 0.0016% 0.0180% 0.0701% 0.1297% 0.0063% 0.1033%

Page 5: Mutant Gonorrhea: A Statistical Analysis

The Statistical Analysis

X and Y have unknown population means μX and μY, respectively

H0: μX = μY against H1: μX ≠ μY

T-statistic:

Critical region: equal tails of Student t-distribution |t| > t0

Degrees of freedom = μX + μY -2

Page 6: Mutant Gonorrhea: A Statistical Analysis

The Statistical Analysis

Evaluate t-statistic to obtain: t = -0.3004 Obtain t0 from table:

Degrees of freedom = 18 According to convention, α = 0.05 t0 = 2.1009

Clearly, |t| < t0

Accept the null hypothesis: H0: μX = μY There is no significant difference between the

invasion indices of the induced and uninduced mutant

Page 7: Mutant Gonorrhea: A Statistical Analysis

Conclusions and Future Directions Confirmed that my experiments did not

show a difference in invasion phenotype New experiments showed Gcp levels do

change over the course of infection We have conducted our first experiments

under fundamentally unnatural conditions Future experiments: time induction to

coincide with natural increase in Gcp expression Repeat invasion assays; compare

population means using the same analysis