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Genomics and The Future of Medicine Gene chip diagnoses and designing ourselves T Mueller Division of Nephrology and Immunology University of Alberta Technology and Future of Medicine Course Nov 02, 2011

Genomics and The Future of Medicine · 2011. 11. 9. · Leonard Cohen, A Life In Art. I often wondered whether Leonard had ... J Craig Venter et al. The Human Genome Project • book

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  • Genomics and The Future of Medicine Gene chip diagnoses and designing ourselves

    T Mueller

    Division of Nephrology and ImmunologyUniversity of Alberta

    Technology and Future of Medicine CourseNov 02, 2011

  • Leonard Cohen and Medicine

    Thomas F MuellerDivision of Nephrology and Immunology

    University of Alberta

    International Leonard Cohen FestivalWestin HotelJuly 24, 2008

  • Leonard Cohen Medicine

    http://maps.google.com/maps

  • leonardcohenforum.com • Search25 Jan 2008 ... Leonard Cohen, A Life In Art. I often wondered whether Leonard had ... and Dr. Thomas Mueller who will speak on "Leonard Cohen's Medicine". ... www.leonardcohenforum.com/search.php?keywords=nadel - 32k -

    Leonard Cohen Medicine

    http://maps.google.com/maps

  • Topics1. Background

    • Human Genome Project• Gene Expression

    2. Techniques• PCR• Microarray• Sources• Analysis

    3. Application • Strengths and weaknesses• Outcome

    4. Summary and Outlook• OGOD• Integration of data• Clinical phenotyping

  • Initial sequencing and analysis of thehuman genome

    International Human Genome Sequencing ConsortiumNature 2001, VOL 409, 15 FEBRUARY 2001

    Science 16 February 2001: Vol. 291 no. 5507 pp. 1304-1351

    The Sequence of the Human GenomeJ Craig Venter et al.

  • The Human Genome Project

    • book of life• would strangle research• genome race between public and private• White House announcement June 2000• Wall Street promises of genetic crystal balls

  • The Human Genome Project

    • book of life• would strangle research• genome race between public and private• White House announcement June 2000• Wall Street promises of genetic crystal balls

    • cancer (most diseases) not yet cured• overall disappointment• …

  • How many genes are in the human genome?

    Genome experts … not even close …Science 2007; 316: 1113

  • How many genes are in the human genome?

    … about 20,000 protein-coding genes …

    Science 2007; 316: 1113

  • The Human Genome Project

    • greatest impact of genomics• to investigate biological phenomena in a

    comprehensive, unbiased, hypothesis-free manner

    • in basic biology understanding of • protein-coding genes• non-coding genes• regulatory sequences

    • in medicine to discover• gene and pathways underlying diseases• about 2,850 genes underlying Mendelian diseases• about 1,100 loci affecting common polygenic disorders• and about 150 new recurrent targets of somatic mutation in cancer

    • costs of DNA sequencing plummeted by around 100,000 fold• RNA-Seq is also being applied to RNA transcripts to count their abundance• sequencing will become a routine tool to characterize

    • patient’s individual genomes• cancer genomes• immune repertoires, and• microbiomes

  • Where is molecular profiling today?

  • Where is molecular profiling today?

    ease of implementation

    bene

    fit to

    the

    heal

    th

    piece of cakegoing to the moon would be easier

    zilc

    hra

    dica

    l

  • My personal experience and journey …

  • Where is molecular profiling today?

    ease of implementation

    bene

    fit to

    the

    heal

    th

    piece of cakegoing to the moon would be easier

    zilc

    hra

    dica

    l

    2004

    2011

  • Naesens, Sarwal, Nat Rev Practice Nephro 2011

  • Naesens, Sarwal, Nat Rev Practice Nephro 2011

  • Topics1. Background

    • Human Genome Project• Gene Expression

    2. Techniques• PCR• Microarray• Sources• Analysis

    3. Application • Strengths and weaknesses• Outcome

    4. Summary and Outlook• OGOD• Integration of data• Clinical phenotyping

  • DNA synthesis(replication)

    RNA synthesis(transcription)

    protein synthesis(translation)

    DNA

    RNA

    Protein

    amino acids

    reverse transcription

    polymerase chain reaction

    continuously monitored

    real-time RT-PCR

    PCR – an alternative to measure transcription

  • 1 1

    2 2

    3 4

    4 8

    5 16

    6 32

    7 64

    8 128

    9 256

    10 512

    11 1024

    12 2048

    13 4096

    14 8192

    15 16384

    16 32768

    49 2.81475E+14

    50 5.6295E+14

    51 1.1259E+15

    52 2.2518E+15

    53 4.5036E+15

    54 9.0072E+15

    55 1.80144E+16

    56 3.60288E+16

    57 7.20576E+16

    58 1.44115E+17

    59 2.8823E+17

    60 5.76461E+17

    61 1.15292E+18

    62 2.30584E+18

    63 4.61169E+18

    64 9.22337E+18

    amplification

    http://images.google.com/imgres?imgurl=http://www.sjgames.com/proteus/img/chessboard.jpg&imgrefurl=http://www.sjgames.com/proteus/&h=1210&w=1200&sz=198&tbnid=lezl536gQYMJ:&tbnh=149&tbnw=148&prev=/images?q=chessboard&hl=en&lr=&oi=imagesr&start=1

  • DNA synthesis(replication)

    RNA synthesis(transcription)

    protein synthesis(translation)

    DNA

    RNA

    Protein

    amino acids

    cDNA synthesis

    transcription and labelling

    oligonucleotide microarrays

    hybridization and staining

  • Principle of microarrays

    Affymetrix® info material

  • Principle of microarrays

    Affymetrix® info material

  • Principle of microarrays

    Affymetrix® info material

  • Looking at the stars

  • Baby steps

    Bittner, Meltzer, Trent. Nature Genetics 1999; 22: 213.

    In the film What About Bob … Bill Murray plays a mental patient with a multi-phobic personality whose fear of almost everything leaves him in a constant state of panic. …

    … an eminent psychiatrist whose therapy goals for Bob are summed up in his book entitled Baby Steps, in which he advocates setting small, reasonable goals one day a time – one tiny step at a time.

    The multi-phobic character will resonate all too well with the geneticist who faces the rapid evolution of bioinformatics driven by massive quantities of data produced by genome-scale technologies. This technology brings us face to face with the underlying complexity of biological systems and genome-wide function … and the key to success is cross-disciplinary collaboration –and effective communication – with those who develop data analysis and integration tools - the mathematicians.

    Data analysis and integration: of steps and arrows

  • Matrix of transcript levels

    Signature

    Profile

    Gene 1Gene 2

    .

    .

    .

    Gene M

    Sample 1 Sample 2 . . . Sample N

  • Visualization and analysis of transcript profiles by heatmaps, dendrograms, and clusters

    Bittner, Meltzer, Trent. Nature Genetics 1999; 22: 213.

  • Bittner, Meltzer, Trent. Nature Genetics 1999; 22: 213.

    Analysis of microarray transcript data

  • Topics1. Background

    • Human Genome Project• Gene Expression

    2. Techniques• PCR• Microarray• Sources• Analysis

    3. Application • Strengths and weaknesses• Outcome

    4. Summary and Outlook• OGOD• Integration of data• Clinical phenotyping

  • Living donorkidneys (n=76)

    Deceased donor kidneys (n=67)

    1hour

    Kidney biopsy

    Microarrayanalysis

    recipient

    Clinical data

    Clinical data

    analysis

    1-2 days

    GC project

    Renal scan(DTPA or MAG3)

  • HE stained implant biopsies of living and deceased donors

  • C

    A

    ED

    B

    Which kidney is from a deceased donor?

  • C

    A

    ED

    B

  • deceased deceasedliving donors

    x

    x

    The transcriptome reflects donor origin

    Mueller T et al, Am J Transplant 2008

  • Cluster 2:

    DD Low riskCluster 3:

    DD High riskCluster 1:

    LD

    The kidneys are clustered in relation to risk of delayed graft function (DGF)

  • x

    x

    Mate kidneys cluster together

  • Transcript levels of 10 acute phase response genes in implant biopsies

    CEW OAL

  • Distribution of all individual kidneys based on their transcriptome changes

    “good”“bad”

  • ‘Outliers’ indicated by the transciptome changes

    “good”“bad”

    BP ↓↓

    DGF +++

    sepsis

  • kidney heart

    The same transcripts are increased in Heart, Liver, and Kidney during Rejection

    liver

    d5/Co Gene

    1075 Gzmb

    827 Serpina3g

    273 Ccl3

    174 Ms4a4b

    126 Slfn1

    118 AI447904

    111 Bcl2a1a

    93 Lpxn

    90 Cd3d

    88 Socs1

    d5/Co Gene

    162 Gzmb

    122 Cd3d

    108 Serpina3g

    92 Cd3g

    75 Cd8b

    73 AI447904

    66 Ctsw

    58 Ms4a4b

    56 Ms4a4b

    55 Lat

    d10/Co Gene

    50 Pglyrp1

    29 Gng2

    29 Emb

    24 Cd3d

    20 Myo1g

    20 Pdcd1

    17 Ly9

    13 Cd8b

    12 Cd37

    12 Ltb

    287

    150common

    Mean ↑ 19-fold Mean ↑ 6-fold Mean ↑ 38-fold

  • Mueller, Einecke et al, Am J Transplant 2008.

    The continuity of changes in kidney biopsies

  • Where is molecular profiling today?

    Do we have achieved personalized medicine?

  • “… we simply cannot accurately predict outcomes for the most clinically relevant sample size – a single patient.”

    B Kaplan and J Schold

  • Odysseus or Hamlet – that is now the question

  • Science 2005; 309: 2010.

    Differences in phenotypes in fingerprints of identical twins and the first cloned cat

  • Michiels S et alPrediction of cancer outcome with microarraysLancet 2005; 365: 488-92

    “Findings: The list of genes identified as predictors of prognosis was highly unstable; molecular signatures strongly depended on the selection of patients in the training sets. … Because of inadequate validation … overoptimistic results … five of the seven studies did not classify patients better than chance.”

    “Microarrays and molecular research: noise discovery?”

  • Systems biology approach

    Naesens, Sarwal, Nat Rev Practice Nephro 2011

  • What was the discovery that made Galileo Galilei a tenured Professor

    A discovery of 4 satellites resolving about Jupiter B contradicting that the earth was the centre of all celestial motionsC detecting approaching war ships 2 hours earlier D placing the Sun at the centre of the universeE describing the uniformity of acceleration independent of mass

  • Slide Number 1Slide Number 2Slide Number 3Slide Number 4Slide Number 5Slide Number 6Slide Number 7Slide Number 8Slide Number 9How many genes are in the human genome?How many genes are in the human genome?Slide Number 12Slide Number 13Slide Number 14Slide Number 15Slide Number 16Slide Number 17Slide Number 18Slide Number 19Slide Number 20Slide Number 21Slide Number 22Slide Number 23Slide Number 24Slide Number 25Slide Number 26Slide Number 27Slide Number 28Visualization and analysis of transcript profiles by heatmaps, dendrograms, and clustersSlide Number 30Slide Number 31Slide Number 32Slide Number 33Slide Number 34Slide Number 35The transcriptome reflects donor originThe kidneys are clustered in relation to risk of �delayed graft function (DGF)Mate kidneys cluster togetherSlide Number 39Slide Number 40Slide Number 41Slide Number 42Slide Number 43Slide Number 44Slide Number 45Slide Number 46Slide Number 47Slide Number 48Slide Number 49Slide Number 50Slide Number 51Slide Number 52Slide Number 53