Examining Genetic Similarity and Difference of the Three Progressor Groups at the First and Middle Visits Nicole Anguiano Bioinformatics Laboratory Loyola.

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Presentation transcript:

Examining Genetic Similarity and Difference of the Three Progressor Groups at the First and Middle Visits Nicole Anguiano Bioinformatics Laboratory Loyola Marymount University 10/30/14

Talk Outline Background information on HIV and how it led to the development of the question and hypothesis Examination of each progressor group and comparisons between them at the first visit Examination of each progressor group and comparisons between them at the middle (~2 year) visit Comparisons between the first and middle visits An analysis of the results and the conclusions that can be drawn from them

Talk Outline Background information on HIV and how it led to the development of the question and hypothesis Examination of each progressor group with itself at the first visit and middle (~2 year) visit Examination of the comparison between progressor groups at the first visit and the middle (~2 year) visit Comparisons between the first and middle visits An analysis of the results and the conclusions that can be drawn from them

What is HIV? HIV is a retrovirus spread through sexual contact or intravenous drug use. It infects the immune system, targeting T cells that express the surface protein CD4. Its high mutation and replication rate allow it to quickly adapt to the host immune system and prevent eradication. The env protein is a particularly active area for mutations. An HIV infected person whose CD4 T cell count falls below 200 is diagnosed with AIDS.

Describing the Three Progressor Groups In Markham et al’s paper, those infected with HIV were placed into three broad categories: Rapid progressors Moderate progressors Nonprogressors Seemed to be no initial indication of whether one person would end up in one progressor group or another.

Formulating the Question and Hypothesis Why study progressor groups? Figuring out what makes one person more likely to be relatively unaffected by the infection (a nonprogressor) could be the breakthrough needed to finding a functional cure for all patients. The question: Are clones from subjects in the same group the most similar, or are they as dissimilar as clones from other groups? Does the amount of variation and similarity, if any, change from the time of the first visit to a visit after about 2 years of infection with the virus? The hypothesis: The clones will be most similar to clones within its own group, and the groups will differentiate at a rate dependent on their group’s progressor level.

Talk Outline Background information on HIV and how it led to the development of the question and hypothesis Examination of each progressor group with itself at the first visit and middle (~2 year) visit Examination of the comparison between progressor groups at the first visit and the middle (~2 year) visit An analysis of the results and the conclusions that can be drawn from them

How the Subjects, Visits, and Clones were Chosen Subjects were chosen due to progressor group (3 per group) and closeness of a visit to the 2 year mark. The first and middle visits were chosen. Clones were selected at random.

Comparing Each Progressor Group with Itself ClustalW and ClustalDist were run on each group, first on the first visit and then on the middle (~2 year) visit. Sequence analysis were used to find the S value on individual groups. Trees were examined for similarity. The clustal distance matrix was used to find the minimum and maximum differences.

Quantifying the Differences within Progressor Groups The nonprogressors had a greater number of differences on average than the moderate progressors on both the first visit and the 2 year visit. The rapid progressors were consistently highest. First Visit 2 year Visit

Talk Outline Background information on HIV and how it led to the development of the question and hypothesis Examination of each progressor group with itself at the first visit and middle (~2 year) visit Examination of the comparison between progressor groups at the first visit and the middle (~2 year) visit An analysis of the results and the conclusions that can be drawn from them

Comparing Between Progressor Groups ClustalW and ClustalDist were run on a pairwise comparison between groups. The clustal distance matrix was used to calculate the minimum and maximum differences. The prediction was that it would be higher than in the individual groups on both maximum and minimum differences.

Quantifying the Differences when Comparing Progressor Groups The minimum difference when comparing the rapid progressors to any other group was significantly lower than just within the progressor group. The minimum difference was consistently higher when comparing the moderate progressors with any other group. First Visit 2 year Visit

The Case of Subjects 14 and 15 Subject 15 (Rapid progressor) was consistently more similar to subject 14 than any other rapid progressor.

Talk Outline Background information on HIV and how it led to the development of the question and hypothesis Examination of each progressor group with itself at the first visit and middle (~2 year) visit Examination of the comparison between progressor groups at the first visit and the middle (~2 year) visit An analysis of the results and the conclusions that can be drawn from them

Comparing all the Data Reveals the Similarity and Difference Between Groups Each group was relatively similar between each visit, and the comparisons remained relatively consistent.

How the Data Reflects the Hypothesis The hypothesis that the greatest similarity would be seen between groups was disproven. Rapid progressors always more similar to other groups than their own. The hypothesis that the groups would diverge as time passed relative to their group level was also disproven. The differences remained relatively unchanged, with only very slight differences.

Where to go from here? From here, the conducting of a larger study to obtain more subjects of different groups and comparing them would be the most effective way to prove or disprove the hypothesis. Obtaining reliable data with such a small sample size is very difficult. Repeating this same experiment with more clones from perhaps all subjects would also be ideal. However, there would be a difference between number of rapid/moderate progressors and nonprogressors.

Acknowledgments Markham, R.B., Wang, W.C., Weisstein, A.E., Wang, Z., Munoz, A., Templeton, A., Margolick, J., Vlahov, D., Quinn, T., Farzadegan, H., & Yu, X.F. (1998). Patterns of HIV-1 evolution in individuals with differing rates of CD4 T cell decline.Proc Natl Acad Sci U S A. 95, doi: /pnas Exploring HIV Evolution Handout BioQuest for the HIV sequence data