LMU Department of Biology

Slides:



Advertisements
Similar presentations
Changes In Protein Sequences Of the HIV-1 gp120 V3 Region In Non-Progressor Types Nicki S.Harmon Samantha M. Hurndon.
Advertisements

Genetic Similarities Between HIV-1 Viruses in the Onset of AIDS Isabel Gonzaga BIOL : Bioinformatics Laboratory Loyola Marymount University October.
Dual conformations for the HIV-1 gp120 V3 loop in complexes with different neutralizing Fabs RL Stanfield, E Cabezas, AC Satterthwait, EA Stura, AT Profy,
Influenza A Virus Pandemic Prediction and Simulation Through the Modeling of Reassortment Matthew Ingham Integrated Sciences Program University of British.
Materials and Methods Abstract Conclusions Introduction 1. Korber B, et al. Br Med Bull 2001; 58: Rambaut A, et al. Nat. Rev. Genet. 2004; 5:
HIV GP120 Envelope Protein
An Introduction to the HIV Problem Space Oakwood University: Faculty Quantitative Institute Aug. 10–12, 2009.
Examination of Amino Acid Differences as a Means of Determining Functional Changes in HIV-1 Protein Sequences Chris Rhodes and Isaiah Castaneda Loyola.
Analysis of HIV Evolution Bobak Seddighzadeh and Kristoffer Chin Department of Biology Loyola Marymount University Bio February 23, 2010.
Examining Subjects of HIV-1 With Possible Predominant Viral Strains Samantha Hurndon Isaiah Castaneda.
Unconserved Amino Acid Sequences in V3 Domain of gp120 Show No Significant Correlation to Altered Folding and Function Bobak Seddighzadeh Alex George.
STEPHANIE HINTZEN BIOL 471 SIV and HIV: Differences in Diversity and Divergence.
Re evaluating the Categorization of HIV Progression in Subjects Based on CD4 T cell Decline Rates Angela Garibaldi & Ryan Willhite Loyola Marymount University.
Construction of Substitution Matrices
A Mutational Investigation of an HIV Patient’s GP120 Glycoprotein and it’s Implications on CD4 Binding Salita Kaistha Usrinus College, Collegeville PA.
Predicting the Onset of AIDS Robert Arnold, Alex Cardenas, Zeb Russo LMU Biology Department 10/5/2011.
Supporting Scientific Collaboration Online SCOPE Workshop at San Diego Supercomputer Center March 19-22, 2008.
Patterns of selection for or against amino acid change among different CD4 T-cell count progressor groups Michael Pina, Salomon Garcia Journal Club Presentation.
Diversity and Divergence in HIV-1 Viral Variants between patients with high CD4+ T Cell Variability and Patients with Rapid CD4+ T Cell Decline Kevin Paiz-Ramirez.
Mutations on the V3 loop of gp120 may predict progression to AIDS Derese Getnet, Dr. Rebecca Roberts, Structural Biology, Ursinus College, Collegeville.
Amino Acid Sequences in V3 Loop Conformation Alex Cardenas, Bobby Arnold and Zeb Russo Loyola Marymount University Department of Biology BIO /02/11.
Project in BioInformatics Variability of Membrane proteins of different HIV strains By Emad Nimer Wisam Kadry.
Predicting the Onset of AIDS Robert Arnold, Alex Cardenas, Zeb Russo LMU Biology Department 10/5/2011.
Residue Sequence and Structure in the Re evaluation the Categorization of HIV Progression in Subjects Based on CD4 T cell Decline Rates Angela Garibaldi.
Examining Subjects of HIV-1 With Possible Predominant Viral Strains Samantha Hurndon Isaiah Castaneda.
Role of V3 in HIV Entry and Neutralization Chloe Jones, Isabel Gonzaga, and Nicole Anguiano BIOL398: Bioinformatics Laboratory Loyola Marymount University.
Analyzing Differences in Protein Sequences Between Subjects with Varying T Cell Counts J’aime Moehlman Amanda Wavrin Loyola Marymount University March.
Changes In Protein Sequences Of the HIV-1 gp120 V3 Region In Non-Progressor Types Nicki S.Harmon Samantha M. Hurndon LMU Department of Biology BIOL 368.
Construction of Substitution matrices
HIV/AIDS.
Examining the Genetic Similarity and Difference of the Three Progressor Groups at the First and Middle Visits Nicole Anguiano BIOL398: Bioinformatics Laboratory.
Examining Genetic Similarity and Difference of the Three Progressor Groups at the First and Middle Visits Nicole Anguiano Bioinformatics Laboratory Loyola.
V3 Loop Binding to CCR5 and CXCR4 of Rapid and Non Progressor HIV Patients in Baltimore MD BackgroundCCR5 and CXCR4 Receptor Rapid-progressor Patient 10.
Structure of V3-containing HIV-1 gp120 core Huang, C. C., Tang, M., Zhang, M. Y., Majeed, S., Montabana, E., Stanfield, R. L., Dimitrov, D. S., Korber,
Residue Sequence and Structure in the Re evaluation the Categorization of HIV Progression in Subjects Based on CD4 T cell Decline Rates Angela Garibaldi.
Examining Genetic Similarity and Difference of the Three Progressor Groups at the First and Middle Visits Nicole Anguiano BIOL398: Bioinformatics Laboratory.
Investigations of HIV-1 Env Evolution Evolutionary Bioinformatics Education: A BioQUEST Curriculum Consortium Approach Grand Valley State University August.
Patterns of HIV-1 evolution in individuals with differing rates of CD4 T cell decline Markham RB, Wang WC, Weisstein AE, Wang Z, Munoz A, Templeton A,
Substitution Matrices and Alignment Statistics BMI/CS 776 Mark Craven February 2002.
Journal Club Presentation BIOL368/F16: Bioinformatics Laboratory
Colin Wikholm William Fuchs
Amino Acid Sequences in V3 Loop Conformation
The V3 Region Expresses More Diversity in Amino Acid Sequence in AIDS Diagnosed Patients than in Non-Trending and AIDS Progressing Patients HIV Structure.
Human Health and Disease
Do HIV+ Rapid Progressors Show More Divergence than Non-Progressors?
Amino Acid Sequences in V3 Loop Conformation
Peter D. Kwong, John R. Mascola  Immunity 
There are four levels of structure in proteins
Predicting the Onset of AIDS
Volume 9, Issue 2, Pages (February 2002)
Patterns of HIV-1 evolution in individuals with differing rates of CD4 T cell decline Markham RB, Wang WC, Weisstein AE, Wang Z, Munoz A, Templeton A,
Investigations of HIV-1 Env Evolution
Structure of V3-containing HIV-1 gp120 core
Loyola Marymount University
Dual conformations for the HIV-1 gp120 V3 loop in complexes with different neutralizing Fabs RL Stanfield, E Cabezas, AC Satterthwait, EA Stura, AT Profy,
Predicting the Onset of AIDS
Loyola Marymount University
Loyola Marymount University
Nicki Harmon, Samantha Hurndon, & Zeb Russo
Replication life cycle of HIV and sites of antiretroviral drug action.
Amino Acid Sequences in V3 Loop Conformation
Patterns of HIV-1 evolution in individuals with differing rates of CD4 T cell decline Markham RB, Wang WC, Weisstein AE, Wang Z, Munoz A, Templeton A,
Predicting the Onset of AIDS
Residue Sequence and Structure in the Re evaluation the Categorization of HIV Progression in Subjects Based on CD4 T cell Decline Rates Angela Garibaldi.
Alignment of the deduced amino acid sequences of the myosin light chain 2 (MLC2) proteins. Alignment of the deduced amino acid sequences of the myosin.
Chloe Jones, Isabel Gonzaga, and Nicole Anguiano
Loyola Marymount University
Selectivity-determining regions
Alignment of the Amino Acid Sequences of NCS and Other PR10/Bet v1 Proteins from Various Plant Species.Deduced amino acid sequences were aligned using.
Presentation transcript:

LMU Department of Biology Changes In Protein Sequences Of the HIV-1 gp120 V3 Region In Non-Progressor Types Nicki S.Harmon Samantha M. Hurndon LMU Department of Biology BIOL 368 11/2/11

Outline The V3 region and non-progressor types as defined by Markham. Changes in Amino Acid Sequence between various subjects in the moderate progressor and non-progressor categories. Sequence Alignment tools and Secondary Structure tools were used to identify changes between the subjects. What the data reveals about the relation between sequence and secondary structure in the V3 region of HIV-1.

The Amino Acid Sequence of the V3 Region Plays A Significant Role in CD4 Binding. The V3 region of the gp 120 env protein is a variable loop with a high mutation rate. V3 is what binds to the CD4 receptor sites on cell. The amino acid sequence determines how the V3 region will function. And therefore, how the CD4 will interact

HIV-1 Progresses at Different Rate Markham observed 3 types of progressors Non-progressors Maintained CD4 T cell levels above 650 throughout the Observation period. Moderate CD4 T cell levels declined to 200-650 during the observation period Rapid Having attained a level of fewer than 200 CD4 T cells

Outline The V3 region and non-progressor types as defined by Markham. Changes in Amino Acid Sequence between various subjects in the moderate progressor and non-progressor categories. Sequence Alignment tools and Secondary Structure tools were used to identify changes between the subjects. What the data reveals about the relation between sequence and secondary structure in the V3 region of HIV-1.

The Non-Progressor Types Should Have Amino Acid Sequences that are Closely Related Since the CD4 T cells are being maintained in the non-progressor types, divergence between sequences should be low. We expect changes in sequence between the non-progressors to not be significant. There should be points of divergence between a moderate progressor and the non-progressors.

Methods were Based off Markham’s Findings The subjects that we selected for our study were subjects 2, 12, 13 and 8. Subject 2, 12 and 13 are non progressor types Subject 8 is a moderate progressor that will be used as a comparison to our non progressor subjects

Outline The V3 region and non-progressor types as defined by Markham. Changes in Amino Acid Sequence between various subjects in the moderate progressor and non-progressor categories. Sequence Alignment tools and Secondary Structure tools were used to identify changes between the subjects. What the data reveals about the relation between sequence and secondary structure in the V3 region of HIV-1.

Determination of Sequences were Randomly Selected Due to the nature of the non-progressor type, sequence selection can be random. Subject 8 showed a change over the course of the study. Due to this change sequences from the first and last visits were chosen.

Amino Acid Sequences were Retrieved For Our Subjects The program Bedrock was use to access our sequences.

Analysis of Multiple Sequences Alignment Shows Conservation of Residues

Secondary Structure Is Maintained Throughout The Subjects

Outline The V3 region and non-progressor types as defined by Markham. Changes in Amino Acid Sequence between various subjects in the moderate progressor and non-progressor categories. Sequence Alignment tools and Secondary Structure tools were used to identify changes between the subjects. What the data reveals about the relation between sequence and secondary structure in the V3 region of HIV-1.

Conclusions We Can Make Based Off Sequences From Subjects 2, 12, 13 & 8 The Non-Progressor types had similar amino acid sequences. There were changes between the non-progressors and subject 8 that could account for subject 8 being a moderate progressor. Secondary structure was not affected by these changes in sequence.

Positive In Vivo Selection of the HIV-1 Envelope Protein gp120 Occurs at Surface-Exposed Regions -Rapid Evolution of HIV represents a major challenge to drug vaccines -Looked at HIV-1 infected persons who interrupted antiretroviral therapy -Conducted a long-term survey of sequence evolution in 20 HIV-1- Infected persons. Collected from clonal sequences of C2-V3-C3 regions. -Found that positively selected amino acid changes occurred predominantly at exposed locations on the virions surface.

References 21 Markham et al. (1998), Cohen et al. (2008) review, Exploring HIV Evolution Handout Kwong et al. (1998), Stanfield et al. (1999), Stanfield et al. (2003) Positive In Vivo Selection of the HIV-1 Envelope Protein gp 120 Occurs at Surface-Exposed Regions, B. Joobs, et al. (2007)