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Investigations of HIV1 Env Evolution

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Richard Markham and his colleagues (1998), published some research on the ... clones appear to survive (leave descendents) over time while other disappear (go ... – PowerPoint PPT presentation

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Title: Investigations of HIV1 Env Evolution


1
Investigations of HIV-1 Env Evolution
  • University of Tennessee - Knoxville
  • June 22-26, 2009 

2
HIV Life Cycle
3
HIV Virus
4
The HIV Genome
5
HIV env Gene
6
gp120 V3 region sequence
Nucleic Acid Sequence CTAGCAGAAGAAGAGGTAGTAATTAG
ATCTGCCAATTTCACAGACAATGCTAAAATCATAATAGTACAGC TGAAT
GCATCTGTAGAAATTAATTGTACAAGGCCCAACAACAATACAAGAAAAGG
TATACATATAGGACC AGGGAGAGCATTTTATGCAACAGGAGAAATAATA
GGAGATATAAGACAAGCACATTGTAACATTAGTAGA GAAAAATGGAATA
ATACTTTAAACCAGGTAGTTACAGAATTAAGGGAACAATTTGGGAATAAA
ACAATAA CCTTTAATCACTCCTCAGGAGGGGACCCAGAAATTGTAATGC
ACAGTTTTAATTGTGGAGGGGAATTTTT CTATTGTAAT ----------
--------------------------------------------------
------------ Amino Acid Sequence
LAEEEVVIRSANFTDNAKIIIVQLNASVEINCTRPNNNTRKGIHIGPG
RAFYATGEIIGDIRQAHCNISR EKWNNTLNQVVTELREQFGNKTITFNH
SSGGDPEIVMHSFNCGGEFFYCN
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8
gp 120 Structure
9
The Markham et al.HIV-1 env Sequence Dataset
  • Richard Markham and his colleagues (1998),
    published some research on the pattern of HIV
    evolution and the rate of CD4 T-cell decline in
    the Proceedings of the National Academy of
    Sciences. In addition to the journal article they
    submitted 666 nucleotide sequences to the GenBank
    database. They studied a 285 base pair region of
    the env gene. The gene product, membrane protein
    gp120, binds to the CD4 receptor site on
    T-lymphocytes and is involved with the entry of
    the virus into those cells. Markham et al.
    followed the evolution of this viral gene
    sequence in 15 subjects by collecting blood
    samples at six month intervals for up to four
    years. For each visit all the forms of the gene
    (clones) were sequenced and CD4 T-cell counts
    were made. This data set provides a rich resource
    for looking closely at the patterns of change in
    HIV over time.

10
Summary of the data set
  • Subjects 15
  • Number of visits 3-9
  • Number of clones per visit 2-18
  • Total number of sequences available 666
  • CD4 cell counts for each visit

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Possible Investigations
  • What is the pattern of HIV evolution within an
    individual?
  • Do the number of clones over time change in any
    regular way?
  • Do certain clones appear to survive (leave
    descendents) over time while other disappear (go
    extinct)?

13
Possible Investigations
  • What is the pattern of HIV evolution within the
    env sequence?
  • Are there particular positions in the sequence
    that are more or less likely to mutate?
  • Are there different rates of synonymous (silent)
    and non-synonymous mutations?

14
The NCSA Information Workbench - An Architecture
for Web-Based Computing
NCSA Computational Biology Group
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