wgikd huynen bayesianintegration - physiomics · • •kirsten(renkema(• m.r. ... •...

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13/09/2014 1 The ciliary proteome Mar,jn Huynen Centre for Molecular and Biomolecular Informa,cs Radboud Ins,tute of Molecular Life Sciences Human ciliated tissues in movement, sensing and signalling Inner ear: Stereocilia function in hearing and balance Cerebral cavities, Bronchia & Fallopian tubes Retina: Cones and Rods Sperm cells The non0mo1le/ primary cilium as a signaling hub MechanoD, ChemoD, Thermosensa,on Sonic Hedgehog signaling Non canonical WNT signaling Effec,ve as cellular antenna Large specialized membrane surface Ac,ve transport (IFT) Selec,ve ga,ng of receptors at the base (synapse) Fluid flow detec1on by cilia regulates proper development of nephric ducts Nephric duct Thome et al. 2007 Nat. Cell. Biol. Zang et al. 2004 Physiology

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Page 1: WGIKD Huynen BayesianIntegration - Physiomics · • •Kirsten(Renkema(• M.R. ... • H.Y.(Kroes(• N.(Geijsen(• E.(Cuppen(• Rachel(Giles ... WGIKD_Huynen_BayesianIntegration.pptx

13/09/2014(

1(

The$ciliary$proteome$

Mar,jn(Huynen(

Centre(for(Molecular(and(Biomolecular(Informa,cs(Radboud(Ins,tute(of(Molecular(Life(Sciences(

(

Human ciliated tissues in movement, sensing and signalling

Inner ear: Stereocilia function in hearing and balance

Cerebral cavities, Bronchia & Fallopian tubes

Retina: Cones and Rods

Sperm cells

The$non0mo1le/$primary$cilium$as$a$signaling$hub$

•  MechanoD,(ChemoD,(Thermosensa,on(•  Sonic(Hedgehog(signaling(•  Non(canonical(WNT(signaling(

•  Effec,ve(as(cellular(antenna(•  Large(specialized(membrane(surface(•  Ac,ve(transport((IFT)(•  Selec,ve(ga,ng(of(receptors(at(the(base((synapse)(

Fluid$flow$detec1on$by$cilia$regulates$proper$development$of$nephric$ducts$

Nephric(duct(Thome(et(al.(2007(Nat.(Cell.(Biol.(

Zang(et(al.(2004(Physiology(

Page 2: WGIKD Huynen BayesianIntegration - Physiomics · • •Kirsten(Renkema(• M.R. ... • H.Y.(Kroes(• N.(Geijsen(• E.(Cuppen(• Rachel(Giles ... WGIKD_Huynen_BayesianIntegration.pptx

13/09/2014(

2(

Cilia$in$renal$disease$

•  Autosomal(polycys,c(kidney(disease((APKD)(•  Nephronophthisis((medullary(cys,c(kidney(disease)(•  Kidney(func,on(affected(in(mul,Dsyndromic(ciliopathies(

•  BardetDBiedl,(Joubert,(Meckel,(Senoir(Loken,(…(

NPHP( APKD(

“A(systems(biology(approach(to(dissect(cilia(func,on((and(its(disrup,on(in(human(gene,c(disease”(

Systems$biology$of$the$cilium$ Large$scale$data$acquisi1on$for$the$predic1on$of$new$cilium$genes$

•  ProteinDprotein(interac,ons(•  Tandem(Affinity(Purifica,onDMS(•  Stable(isotope(labeling(by(amino(acids(in(cell(culture(•  YeastD2DHybrid(

•  Bioinforma,cs(•  CoDevolu,on(•  Microarray(metaDanalysis((systems(coDexpression)(

•  Func,onal(screens(•  Genome(wide(siRNA(on(ciliogenesis(•  Comprehensive(drug(panel(screen(on(ciliogenesis(

Page 3: WGIKD Huynen BayesianIntegration - Physiomics · • •Kirsten(Renkema(• M.R. ... • H.Y.(Kroes(• N.(Geijsen(• E.(Cuppen(• Rachel(Giles ... WGIKD_Huynen_BayesianIntegration.pptx

13/09/2014(

3(

Data$gathering$and$organiza1on$Predic1ng$new$cilium$proteins$by$comparing$genomes$

Gold$Standard$&$Nega1ve$set$

Extracellular$

Co0expression,$exploi1ng$>$1600$experiments,$35K$arrays$

Page 4: WGIKD Huynen BayesianIntegration - Physiomics · • •Kirsten(Renkema(• M.R. ... • H.Y.(Kroes(• N.(Geijsen(• E.(Cuppen(• Rachel(Giles ... WGIKD_Huynen_BayesianIntegration.pptx

13/09/2014(

4(

How$can$we$integrate$mul1ple$datasets?$

Proteomics(data(

Gene,c(data(Published(data(

Expression(data( Evolu,onary(data(

?(

A$Bayesian$classifier$to$iden1fy$novel$ciliary$genes$

Proteomics(data(

Gene,c(data(Published(datasets(

Expression(data( Evolu,onary(data(

Bayesian$integra1on$of$mul1ple$observa1ons$

•  n(is(the(number(of(datasets(considered(•  fi$=(dataset(i$•  P(fi|T)(=(probability(that(a(gene(is(reported(by(dataset(i(given(it(is(a(known(ciliary(gene(

(

GeneScore = log2PCiliumP~Cilium

!

"#

$

%&

Pr ior! "## $##

+ log2i=1

n

∑P fi T( )P fi F( )!

"##

$

%&&

log(a ⋅b) = log(a)+ log(b)

Page 5: WGIKD Huynen BayesianIntegration - Physiomics · • •Kirsten(Renkema(• M.R. ... • H.Y.(Kroes(• N.(Geijsen(• E.(Cuppen(• Rachel(Giles ... WGIKD_Huynen_BayesianIntegration.pptx

13/09/2014(

5(

Bayesian$integra1on;$$

$dis1nguishing$between$ciliary$vs.$non0ciliary$genes$Ranking$poten1al$ciliary$genes$

18(

Ciliary(Predicted(NonDciliary(

FRD(cutoff(at(25%:(405(genes(of(which(283(unknown(to(be(ciliary(

Experimental$valida1on$

•  72(genes(of(the(283(will(be(tested(((25%(FDR)(•  C.$elegans:(roaming(and(dyeDfilling(essays((phenotype)(•  Zebrafish:(morpholino,(CRISPR((phenotype)(•  Immunofluorescence(in(human(ciliated(cell(lines((localiza,on)(

•  35(tested(so(far(•  25(show(ciliary(phenotype(and/or(cilia(localiza,on((FDR(29%)(

N2 control

oscp-1

Roaming$assay$screen$in$C.#elegans#

Julie(Kennedy,(Blacque(lab(University(College(Dublin(

Page 6: WGIKD Huynen BayesianIntegration - Physiomics · • •Kirsten(Renkema(• M.R. ... • H.Y.(Kroes(• N.(Geijsen(• E.(Cuppen(• Rachel(Giles ... WGIKD_Huynen_BayesianIntegration.pptx

13/09/2014(

6(

C.#elegans#dye0filling$assay$N

2 co

ntro

l dy

s-1(

eg33

) /d

ystro

phi (

DM

D)

dys-

1(cx

18)

/dys

troph

in (D

MD

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mag

i-1(g

k657

) /M

AG

I2

R10

F2.5

(gk7

48)

/OS

CP

1 R

10F2

.5(g

k699

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SC

P1

Immunofluorescence$in$human$respiratory$cells$

Gerry(Dougherty,(Omran(lab((Wespälische(WilhelmsDUniversität(Münster(

Immunofluorescence$in$hTERT0RPE1$(re1na)$

Erik(de(Vrieze,(Kremer(lab(Radboudumc(

Analyzing$pa1ent$exome$sequence$data$

•  Premise:(•  Causal(genes(in(ciliopathy(pa,ents(perform(a(func,on(in(the(cilium(

•  They(are(“ciliary(genes”(•  And(“behave(like”(other(ciliary(genes(

•  Our(Bayesian(classifier(is(a(probabilis,c(model(or(descrip,on(of(“ciliary(genes”(based(on(a(collec,on(of(experimental(and(bioinforma,cs(data(

•  Genes(found(mutated(in(pa,ents(and(which(are(classified(as(“ciliary”(are(prime(candidates(

Page 7: WGIKD Huynen BayesianIntegration - Physiomics · • •Kirsten(Renkema(• M.R. ... • H.Y.(Kroes(• N.(Geijsen(• E.(Cuppen(• Rachel(Giles ... WGIKD_Huynen_BayesianIntegration.pptx

13/09/2014(

7(

Predic1ng$causal$genes$in$JBTS$pa1ents$

Five(pa,ents(with(JBTS(of(unknown(cause(and(no(family(history(

Marijn(Stokman,(Nephrology(dept.(UMC(Utrecht(

Filtering$and$ranking$of$causal$muta1ons$

Acknowledgements$•  Radboudumc(

•  John(van(Dam(•  Robin(van(der(Lee(•  Radek(Scklarczyk(

•  Ronald(Roepman(•  Dorus(Mans(•  Minh(Nguyen(

•  Hannie(Kremer(•  Erik(de(Vrieze(

(•  UCD(

•  Oliver(Blacque(•  Julie(Kennedy(

•  UCL(•  Phil(Beales(•  Victor(Hernandez(•  Miriam(Schmidts(

•  Kouncil(WP1(•  Marijn(Stokman(•  Kirsten(Renkema(•  M.R.(Lilien(•  Heleen(Arts(•  M.M.(Oud(•  Ies(Nijman(•  H.Y.(Kroes(•  N.(Geijsen(•  E.(Cuppen(•  Rachel(Giles(•  Nine(Knoers(

•  WWU(•  Heymut(Omran(•  Gerry(Dougherty(

•  UTUB(•  Marius(Ueffing(•  Karsten(Boldt(•  Yves(Texier(

•  TIGEM(•  Brunella(Franco(

•  LIMM(•  Colin(Johnson(•  Kasia(Szymanska(•  Gabrielle(Wheway(

•  Duke(•  Erica(Davis(

•  SYS(IT(•  Grischa(Toedt((EMBL)(•  Qianhao(Lu((UHEI)(•  Konstan,nos(Koutroumpas((UEVE)(•  Jeroen(van(Reeuwijk((RUNMC)(