SlideShare une entreprise Scribd logo
1  sur  21
From	
  B-­‐cell	
  Biology	
  to	
  Data	
  
            Integra3on	
  



                            Gopuraja	
  Dharmalingam	
  
                              15-­‐02-­‐2013,	
  Barcelona	
  
                                                          	
  
Transcrip3on	
  Factor	
  -­‐	
  Ikaros	
  
•  Founding	
  member	
  of	
  a	
  family	
  of	
  transcrip3on	
  factor	
  
•  Expressed	
   in	
   haematopoie3c	
   stem	
   cells,	
   lymphoid	
  
   cells	
  and	
  some	
  myeloid	
  cells	
  
•  Required	
  for	
  Lymphocyte	
  development	
  
•  Muta3ons	
  in	
  IKZF1	
  observed	
  in	
  Human	
  Leukemia	
  




                                                       Merkenschlager	
  review,	
  2010	
  
B	
  lymphocyte	
  development	
  

               mul:-­‐lineage	
  
               progenitors	
                                    lineage-­‐restricted	
  lymphoid	
  progenitors	
  
                                     common	
  
haematopoie:c	
                      lymphoid	
                                                                cycling	
  	
         Res3ng	
  	
             Immature	
  	
  
  stem	
  cells	
                   progenitors	
  
                                                      pre-­‐pro-­‐B	
  cell	
     pro-­‐B	
  cell	
            pre-­‐B	
  cell	
     pre-­‐B	
  cell	
        B	
  cell	
  
                  MLP	
                                     Fr.	
  A	
             Fr.	
  B/C	
                Fr.	
  C’	
           Fr.	
  D	
               Fr.	
  E	
  
HSC	
             MPP	
                 CLP	
  
                  LMPP	
  

                                                         T	
  cell	
  progenitors	
                                                       B3	
  Cell	
  line	
  
Challenges!!	
  
•  Single	
  gene	
  to	
  genome	
  wide	
  -­‐	
  no	
  high	
  throughput	
  
   technologies	
  were	
  available	
  
•  How	
  to	
  make	
  sense	
  of	
  the	
  data?	
  
•  Linking	
  with	
  published	
  resources	
  
•  Analysis	
   challenges:	
   Different	
   soVware	
   &	
   method	
  
   provides	
   different	
   results	
   (Ex:	
   different	
   peak	
   callers	
  
   provide	
  different	
  set	
  of	
  peaks	
  for	
  Ikaros)	
  
•  Comparing	
   and	
   Integra3ng	
   data	
   from	
   different	
  
   methods	
  (Ex:	
  expression	
  and	
  binding)	
  
•  Biological	
  relevance	
  
B	
  lymphocyte	
  development	
  
                                       mul:-­‐lineage	
  
                                       progenitors	
                                    lineage-­‐restricted	
  lymphoid	
  progenitors	
  
                                                             common	
  
haematopoie:c	
                                              lymphoid	
                                                                cycling	
  	
         Res3ng	
  	
               Immature	
  	
  
  stem	
  cells	
                                           progenitors	
  
                                                                              pre-­‐pro-­‐B	
  cell	
     pro-­‐B	
  cell	
            pre-­‐B	
  cell	
     pre-­‐B	
  cell	
          B	
  cell	
  
                                         MLP	
                                      Fr.	
  A	
             Fr.	
  B/C	
                Fr.	
  C’	
           Fr.	
  D	
                 Fr.	
  E	
  
HSC	
                                    MPP	
                  CLP	
  
                                         LMPP	
  

                                                                                 T	
  cell	
  progenitors	
                                                       B3	
  Cell	
  line	
  
      mRNA expression (array counts)




                                                                                                                  Ikaros	
  target	
  genes?	
  

                                         differentiation




                                                                                                                                                                              Vidal	
  et	
  al,	
  2013	
  
Roles	
  of	
  Ikaros	
  in	
  B-­‐cell	
  development?	
  

•  Global	
   iden3fica3on	
   of	
   Ikaros	
   targets	
   and	
   regulated	
  
   genes	
  
•  Iden3fying	
   pre-­‐B-­‐cell	
   differen3a3on	
   pathways	
  
   enriched	
  for	
  Ikaros	
  targets	
  
•  Co-­‐occurrence	
   of	
   Ikaros	
   binding	
   with	
   other	
  
   hematopoie3c	
  transcrip3on	
  factors	
  
•  Integra3ng	
   Ikaros	
   binding	
   and	
   gene	
   expression	
   with	
  
   gene	
   expression	
   changes	
   during	
   hematopoie3c	
  
   development	
  (using	
  Immgen	
  data)	
  


                                                                      Vidal	
  et	
  al,	
  2013	
  
Inducible	
  Ikaros	
  construct	
  


                HA	
  
Ikaros                                      IKAROS	
                                  ERt2	
        IRES	
          GFP	
  


                 Cytoplasm	
  
                                                Nucleus	
  




    HA-­‐IK-­‐ER	
  fusion	
  protein	
          Heat-­‐Shock	
  protein	
  in	
  cytoplasm	
     4-­‐hydroxytamoxifen	
  (4-­‐OHT)	
  
Ikaros	
  induced	
  gene	
  expression	
  changes	
  

                                                       Affymetrix	
  microarrays:	
  
                                                       •  Mouse	
  Genome	
  430	
  2.0	
  
                                                          Array	
  –	
  48h	
  
                                                       •  Mouse	
  Gene	
  1.0	
  ST	
  
                                                          Array	
  –	
  2h,	
  6h	
  



 Challenges:	
  
 •  Combining	
  two	
  microarray	
  plaborms	
  
 •  Limited	
  gene	
  annota3on	
  for	
  Mouse	
  Genome	
  430	
  2.0	
  !!	
  



                                                               Isabel	
  Ferreiros	
  Vidal,	
  Tom	
  Carroll	
  
Genome	
  wide	
  iden3fica3on	
  of	
  Ikaros	
  
              binding	
  sites	
  




endogenous	
  Ikaros	
  	
  ChIP-­‐Seq	
  	
  
HA-­‐tagged	
  Ikaros	
  ChIP-­‐Seq	
  
	
  
Common:	
  11349	
  high	
  confidence	
  peaks	
  
11349	
  peaks	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  6746	
  genes	
  	
  	
  	
  	
  	
  	
  	
  5732	
  in	
  affy	
  arrays	
  
	
  
                                                                         Isabel	
  Ferreiros	
  Vidal,	
  Anna	
  Terry,	
  Tom	
  Carroll	
  
Integra3ng	
  Ikaros	
  binding	
  and	
  gene	
  
                    expression	
  
                             	
  
                                                            All	
            Upreg.	
            Downreg.	
  
Ikaros-­‐responsive	
  genes	
  at	
  2h	
                  79	
                  28	
                  51	
  
Ikaros	
  binding	
  observed	
                      65	
  (82.3%)	
       22	
  (78.6%)	
       43	
  (84.3%)	
  
Ikaros	
  binding	
  expected	
                             28	
                  10	
                  18	
  
p	
  value	
                                         9.90x10-­‐19	
         4.55x10-­‐7	
        5.08x10-­‐14	
  
odds	
  ra3o	
                                             8.55	
                6.75	
                 9.9	
  

Ikaros-­‐responsive	
  genes	
  at	
  6h	
               401	
                 159	
                 242	
  
Ikaros	
  binding	
  observed	
                     286	
  (71.3%)	
      112	
  (70.4%)	
      174	
  (71.9%)	
  
Ikaros	
  binding	
  expected	
                          141	
                    56	
                  85	
  
p	
  value	
                                         5.88x10-­‐51	
        2.35x10-­‐20	
        2.39x10-­‐32	
  
odds	
  ra3o	
                                          4.58	
                4.39	
                4.71	
  

Ikaros-­‐responsive	
  genes	
  at	
  48h	
  	
         4471	
                1982	
                2486	
  
Ikaros	
  binding	
  observed	
                     2497	
  (55.8%)	
     1195	
  (60.3%)	
     1302	
  (41.5%)	
  
Ikaros	
  binding	
  expected	
                         1573	
                 697	
                 875	
  
p	
  value	
                                         2.16x10-­‐246	
       1.43x10-­‐131	
       7.52x10-­‐82	
  
odds	
  ra3o	
                                          2.33	
                 2.8	
               1.398	
  


                                                                                                    Vidal	
  et	
  al,	
  2013	
  
Ikaros	
  de-­‐novo	
  mo3f	
  

             •  Top	
  1000	
  Ikaros	
  peaks	
  	
  
             •  NestedMICA	
  




                                         Vidal	
  et	
  al,	
  2013	
  
Mo3fs	
  of	
  other	
  transcrip3on	
  
factors	
  close	
  to	
  Ikaros	
  binding	
  sites	
  




                                               Vidal	
  et	
  al,	
  2013	
  
Ikaros	
  co-­‐localiza3on	
  with	
  other	
  
      hematopoie3c	
  transcrip3on	
  factors	
  
Overlap	
  between	
  binding	
  sites	
  of	
     Overlap	
  between	
  genes	
  bound	
  by	
  karos	
  and	
  
Ikaros	
  and	
  other	
  TFs(%)	
                 other	
  TFs(%)	
  




                                                                                                     Vidal	
  et	
  al,	
  2013	
  
Ikaros	
  targets	
  in	
  B-­‐cell	
  	
  
                             differen3a3on	
  pathways	
  	
  
Pre-­‐BCR	
  signaling	
                  Cell	
  cycle	
      V(D)J	
  recombina3on	
  




                                                                              Vidal	
  et	
  al,	
  2013	
  
Ikaros	
  target	
  genes	
  in	
  hematopoiesis	
  
         and	
  	
  B-­‐cell	
  lineage	
  specifica3on	
  
  Goals	
  of	
  Immunological	
  Genome	
  Project	
  (Immgen)	
  
  •  To	
  study	
  whole-­‐genome	
  expression	
  of	
  all	
  known	
  
       Immune	
  cell	
  types	
  in	
  Mouse	
  	
  
  •  To	
  predict	
  the	
  gene	
  regulatory	
  network	
  in	
  immune	
  
       cells	
  using	
  computa3onal	
  tools	
  
  •  Data	
  deposited	
  to	
  GEO	
  /	
  ArrayExpress	
  
  	
  




www.Immgen.org	
  
Immgen	
  




                     Igll1	
  gene	
  expression	
  in	
  B-­‐cell	
  popula:on	
  
www.Immgen.org	
  
Ikaros	
  target	
  genes	
  in	
  hematopoiesis	
  
            and	
  	
  B-­‐cell	
  development	
  
                                                             	
  gene	
  expression	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Ikaros	
  binding	
  




Cycling	
  to	
  resNng	
  pre-­‐B-­‐cell	
  transiNon	
  

        	
  	
  	
  	
  gene	
  expression	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Ikaros	
  binding	
  




                                                                                                                                                                                                                                                                                                                                                       Vidal	
  et	
  al,	
  2013	
  
Increased	
  Ikaros	
  expression	
  in	
  B3	
  cells	
  
  resembles	
  res3ng	
  pre-­‐B	
  cell	
  (Fr.D)	
  

        MLP	
  
         CLP	
  
     Fr.B/C	
  
       Fr.C’	
  
        Fr.D	
  
B3	
  Ikaros	
  


                                            -1.5      0      +1.5
                                                   log2 ratio
Conclusion	
  
•  Integra3ve	
  analysis	
  allowed	
  us	
  to	
  address	
  the	
  
   role	
  of	
  Ikaros	
  in	
  B-­‐cell	
  biology	
  
•  Ikaros	
  targets	
  were	
  highly	
  enriched	
  in	
  key	
  pre-­‐
   B-­‐cell	
  differen3a3on	
  pathways	
  
•  Inducible	
   Ikaros	
   expression	
   in	
   cycling	
   pre-­‐B	
  
   cells	
  was	
  sufficient	
  to	
  drive	
  the	
  transcrip3onal	
  
   changes	
  that	
  resembled	
  the	
  differen3a3on	
  of	
  
   cycling	
  to	
  res3ng	
  pre-­‐B	
  cells.	
  
Acknowledgements	
  
Lymphocyte	
  Development	
  Group:	
     University	
  of	
  Cambridge:	
  
	
                                        	
  
Manhias	
  Merkenschlager	
               Mikhail	
  Spivakov	
  
Amanda	
  Fisher	
  
	
  
Isabel	
  Ferreiros	
  Vidal	
            University	
  of	
  California,	
  Los	
  
Tom	
  Carroll	
                          Angeles	
  
Ben	
  Taylor	
                           	
  
Anna	
  Terry	
                           Stephen	
  T.	
  Smale	
  
Ziwei	
  Liang	
                          	
  
Sanjay	
  Khadayate	
  
Prashant	
  Srivastava	
  
Enrico	
  Petreno	
  
Lee	
  Cooper	
  
	
  
Thank	
  you	
  
    	
  
    	
  
Ques3ons?	
  	
  
    	
  
    	
  

Contenu connexe

Tendances

SYNTHETIC CHROMOSOME PLATFORMs IN PLANTS: CONCEPTS & APPLICATIONs
SYNTHETIC CHROMOSOME PLATFORMs IN PLANTS:  CONCEPTS & APPLICATIONsSYNTHETIC CHROMOSOME PLATFORMs IN PLANTS:  CONCEPTS & APPLICATIONs
SYNTHETIC CHROMOSOME PLATFORMs IN PLANTS: CONCEPTS & APPLICATIONskundan Jadhao
 
Gene probes, preparation of chimeric DNA molecules, cloning
Gene probes, preparation of chimeric DNA molecules, cloningGene probes, preparation of chimeric DNA molecules, cloning
Gene probes, preparation of chimeric DNA molecules, cloningHanzala Rahaman
 
Bacterial genetics png 2011
Bacterial genetics png 2011Bacterial genetics png 2011
Bacterial genetics png 2011Prasad Gunjal
 
Lecture 2a cosmids
Lecture 2a cosmidsLecture 2a cosmids
Lecture 2a cosmidsIshah Khaliq
 
Cloning vectors & gene constructs
Cloning vectors & gene constructsCloning vectors & gene constructs
Cloning vectors & gene constructsKavya Kondaka
 
Recombinant protein expression seminar paper
Recombinant protein expression seminar paperRecombinant protein expression seminar paper
Recombinant protein expression seminar paperSamuel Kariuki
 
MICROBIAL BIOTECHNOLOGY
MICROBIAL BIOTECHNOLOGYMICROBIAL BIOTECHNOLOGY
MICROBIAL BIOTECHNOLOGYPankaj Bhatt
 
Molecular markers - EASY!!
Molecular markers - EASY!!Molecular markers - EASY!!
Molecular markers - EASY!!Shovan Das
 
Bacterial genetics 1 .by Sumia Alfitoury
Bacterial genetics 1 .by Sumia Alfitoury Bacterial genetics 1 .by Sumia Alfitoury
Bacterial genetics 1 .by Sumia Alfitoury Sumia abdulsalam
 
Arya vectors-150104220041-conversion-gate01
Arya vectors-150104220041-conversion-gate01Arya vectors-150104220041-conversion-gate01
Arya vectors-150104220041-conversion-gate01Sidra Noor
 
CLONING VECTORS SMG
CLONING VECTORS  SMGCLONING VECTORS  SMG
CLONING VECTORS SMGsajigeorge64
 

Tendances (20)

SYNTHETIC CHROMOSOME PLATFORMs IN PLANTS: CONCEPTS & APPLICATIONs
SYNTHETIC CHROMOSOME PLATFORMs IN PLANTS:  CONCEPTS & APPLICATIONsSYNTHETIC CHROMOSOME PLATFORMs IN PLANTS:  CONCEPTS & APPLICATIONs
SYNTHETIC CHROMOSOME PLATFORMs IN PLANTS: CONCEPTS & APPLICATIONs
 
Gene probes, preparation of chimeric DNA molecules, cloning
Gene probes, preparation of chimeric DNA molecules, cloningGene probes, preparation of chimeric DNA molecules, cloning
Gene probes, preparation of chimeric DNA molecules, cloning
 
Bacterial genetics png 2011
Bacterial genetics png 2011Bacterial genetics png 2011
Bacterial genetics png 2011
 
Bacteriophage
BacteriophageBacteriophage
Bacteriophage
 
Dna technology 1
Dna technology 1Dna technology 1
Dna technology 1
 
13 2322 ppt
13 2322 ppt13 2322 ppt
13 2322 ppt
 
Lecture 2a cosmids
Lecture 2a cosmidsLecture 2a cosmids
Lecture 2a cosmids
 
Insertion vector
Insertion vectorInsertion vector
Insertion vector
 
Cloning vectors
Cloning vectors Cloning vectors
Cloning vectors
 
Cloning vectors & gene constructs
Cloning vectors & gene constructsCloning vectors & gene constructs
Cloning vectors & gene constructs
 
Cloning vectors
Cloning vectorsCloning vectors
Cloning vectors
 
Bacterial genetics
Bacterial genetics   Bacterial genetics
Bacterial genetics
 
Recombinant protein expression seminar paper
Recombinant protein expression seminar paperRecombinant protein expression seminar paper
Recombinant protein expression seminar paper
 
MICROBIAL BIOTECHNOLOGY
MICROBIAL BIOTECHNOLOGYMICROBIAL BIOTECHNOLOGY
MICROBIAL BIOTECHNOLOGY
 
Molecular markers - EASY!!
Molecular markers - EASY!!Molecular markers - EASY!!
Molecular markers - EASY!!
 
Vector
VectorVector
Vector
 
Bacterial genetics 1 .by Sumia Alfitoury
Bacterial genetics 1 .by Sumia Alfitoury Bacterial genetics 1 .by Sumia Alfitoury
Bacterial genetics 1 .by Sumia Alfitoury
 
Artificial Vectors
Artificial VectorsArtificial Vectors
Artificial Vectors
 
Arya vectors-150104220041-conversion-gate01
Arya vectors-150104220041-conversion-gate01Arya vectors-150104220041-conversion-gate01
Arya vectors-150104220041-conversion-gate01
 
CLONING VECTORS SMG
CLONING VECTORS  SMGCLONING VECTORS  SMG
CLONING VECTORS SMG
 

En vedette

Integrative Analysis of Epigenomics and miRNA data in Immune System Models
Integrative Analysis of Epigenomics and miRNA data in Immune System ModelsIntegrative Analysis of Epigenomics and miRNA data in Immune System Models
Integrative Analysis of Epigenomics and miRNA data in Immune System ModelsCOST action BM1006
 
Mechanisms of Asthma and Allergy (MeDALL): from population based birth cohort...
Mechanisms of Asthma and Allergy (MeDALL): from population based birth cohort...Mechanisms of Asthma and Allergy (MeDALL): from population based birth cohort...
Mechanisms of Asthma and Allergy (MeDALL): from population based birth cohort...COST action BM1006
 
Reverse-engineering techniques in Data Integration
Reverse-engineering techniques in Data IntegrationReverse-engineering techniques in Data Integration
Reverse-engineering techniques in Data IntegrationCOST action BM1006
 
Knowledge management for integrative omics data analysis
Knowledge management for integrative omics data analysisKnowledge management for integrative omics data analysis
Knowledge management for integrative omics data analysisCOST action BM1006
 
An Introduction to Causal Discovery, a Bayesian Network Approach
An Introduction to Causal Discovery, a Bayesian Network ApproachAn Introduction to Causal Discovery, a Bayesian Network Approach
An Introduction to Causal Discovery, a Bayesian Network ApproachCOST action BM1006
 
RNA-seq differential expression analysis
RNA-seq differential expression analysisRNA-seq differential expression analysis
RNA-seq differential expression analysismikaelhuss
 
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...VHIR Vall d’Hebron Institut de Recerca
 
Proteomics analysis: Basics and Applications
Proteomics analysis: Basics and ApplicationsProteomics analysis: Basics and Applications
Proteomics analysis: Basics and ApplicationsCOST action BM1006
 
Galaxy RNA-Seq Analysis: Tuxedo Protocol
Galaxy RNA-Seq Analysis: Tuxedo ProtocolGalaxy RNA-Seq Analysis: Tuxedo Protocol
Galaxy RNA-Seq Analysis: Tuxedo ProtocolHong ChangBum
 

En vedette (11)

Integrative Analysis of Epigenomics and miRNA data in Immune System Models
Integrative Analysis of Epigenomics and miRNA data in Immune System ModelsIntegrative Analysis of Epigenomics and miRNA data in Immune System Models
Integrative Analysis of Epigenomics and miRNA data in Immune System Models
 
Mechanisms of Asthma and Allergy (MeDALL): from population based birth cohort...
Mechanisms of Asthma and Allergy (MeDALL): from population based birth cohort...Mechanisms of Asthma and Allergy (MeDALL): from population based birth cohort...
Mechanisms of Asthma and Allergy (MeDALL): from population based birth cohort...
 
Reverse-engineering techniques in Data Integration
Reverse-engineering techniques in Data IntegrationReverse-engineering techniques in Data Integration
Reverse-engineering techniques in Data Integration
 
Knowledge management for integrative omics data analysis
Knowledge management for integrative omics data analysisKnowledge management for integrative omics data analysis
Knowledge management for integrative omics data analysis
 
An Introduction to Causal Discovery, a Bayesian Network Approach
An Introduction to Causal Discovery, a Bayesian Network ApproachAn Introduction to Causal Discovery, a Bayesian Network Approach
An Introduction to Causal Discovery, a Bayesian Network Approach
 
RNA-seq differential expression analysis
RNA-seq differential expression analysisRNA-seq differential expression analysis
RNA-seq differential expression analysis
 
RNA-seq Analysis
RNA-seq AnalysisRNA-seq Analysis
RNA-seq Analysis
 
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
 
Metabolomics Data Analysis
Metabolomics Data AnalysisMetabolomics Data Analysis
Metabolomics Data Analysis
 
Proteomics analysis: Basics and Applications
Proteomics analysis: Basics and ApplicationsProteomics analysis: Basics and Applications
Proteomics analysis: Basics and Applications
 
Galaxy RNA-Seq Analysis: Tuxedo Protocol
Galaxy RNA-Seq Analysis: Tuxedo ProtocolGalaxy RNA-Seq Analysis: Tuxedo Protocol
Galaxy RNA-Seq Analysis: Tuxedo Protocol
 

Similaire à from B-cell Biology to Data Integration

From Bench to Bedside: Research and Clinical Applications of Induced Pluripot...
From Bench to Bedside: Research and Clinical Applications of Induced Pluripot...From Bench to Bedside: Research and Clinical Applications of Induced Pluripot...
From Bench to Bedside: Research and Clinical Applications of Induced Pluripot...TheresaGold
 
The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...Borlaug Global Rust Initiative
 
Gene expression introduction
Gene expression introductionGene expression introduction
Gene expression introductionSetia Pramana
 
Essential Genes of prokaryotes and eukaryotes.pptx
Essential Genes of prokaryotes and eukaryotes.pptxEssential Genes of prokaryotes and eukaryotes.pptx
Essential Genes of prokaryotes and eukaryotes.pptxHajiraFatima6
 
Retinal Dystrophies and CRB1
Retinal Dystrophies and CRB1Retinal Dystrophies and CRB1
Retinal Dystrophies and CRB1Sebastian Fonseca
 
Non Mendelian inheritance
Non Mendelian inheritanceNon Mendelian inheritance
Non Mendelian inheritanceMahammed Faizan
 
Non mendelian inheritance / cytoplasmic inheritance / Extranuclear Inheritance
Non mendelian inheritance / cytoplasmic inheritance / Extranuclear InheritanceNon mendelian inheritance / cytoplasmic inheritance / Extranuclear Inheritance
Non mendelian inheritance / cytoplasmic inheritance / Extranuclear InheritanceMahammed Faizan
 
Summer Research Project
Summer Research ProjectSummer Research Project
Summer Research ProjectOmar Johnson
 
Genetic Engineering by Kailash Sontakke Botany Sem-VI Unit-IV all
Genetic Engineering by Kailash Sontakke Botany Sem-VI Unit-IV allGenetic Engineering by Kailash Sontakke Botany Sem-VI Unit-IV all
Genetic Engineering by Kailash Sontakke Botany Sem-VI Unit-IV allKAILASHSONTAKKE
 
1.introduction to genetic engineering and restriction enzymes
1.introduction to genetic engineering and restriction enzymes1.introduction to genetic engineering and restriction enzymes
1.introduction to genetic engineering and restriction enzymesGetachew Birhanu
 
Bacterial and viral chromosomes
Bacterial and viral chromosomesBacterial and viral chromosomes
Bacterial and viral chromosomesPromila Sheoran
 
Bairoch ISB closing-talk: CALIPHO
Bairoch ISB closing-talk: CALIPHOBairoch ISB closing-talk: CALIPHO
Bairoch ISB closing-talk: CALIPHOPascale Gaudet
 
Artificial chromosome I Bacterial Artificial Chromosome I Yeast Artificial C...
 Artificial chromosome I Bacterial Artificial Chromosome I Yeast Artificial C... Artificial chromosome I Bacterial Artificial Chromosome I Yeast Artificial C...
Artificial chromosome I Bacterial Artificial Chromosome I Yeast Artificial C...DevikaPatel12
 
491-1487159777.pdf
491-1487159777.pdf491-1487159777.pdf
491-1487159777.pdfawsadil29
 
491-1487159777.pdf
491-1487159777.pdf491-1487159777.pdf
491-1487159777.pdfawsadil29
 

Similaire à from B-cell Biology to Data Integration (20)

From Bench to Bedside: Research and Clinical Applications of Induced Pluripot...
From Bench to Bedside: Research and Clinical Applications of Induced Pluripot...From Bench to Bedside: Research and Clinical Applications of Induced Pluripot...
From Bench to Bedside: Research and Clinical Applications of Induced Pluripot...
 
Fogarty Report
Fogarty ReportFogarty Report
Fogarty Report
 
The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...
 
Gene expression introduction
Gene expression introductionGene expression introduction
Gene expression introduction
 
Essential Genes of prokaryotes and eukaryotes.pptx
Essential Genes of prokaryotes and eukaryotes.pptxEssential Genes of prokaryotes and eukaryotes.pptx
Essential Genes of prokaryotes and eukaryotes.pptx
 
08_Annotation_2022.pdf
08_Annotation_2022.pdf08_Annotation_2022.pdf
08_Annotation_2022.pdf
 
Retinal Dystrophies and CRB1
Retinal Dystrophies and CRB1Retinal Dystrophies and CRB1
Retinal Dystrophies and CRB1
 
Non Mendelian inheritance
Non Mendelian inheritanceNon Mendelian inheritance
Non Mendelian inheritance
 
Non mendelian inheritance / cytoplasmic inheritance / Extranuclear Inheritance
Non mendelian inheritance / cytoplasmic inheritance / Extranuclear InheritanceNon mendelian inheritance / cytoplasmic inheritance / Extranuclear Inheritance
Non mendelian inheritance / cytoplasmic inheritance / Extranuclear Inheritance
 
Summer Research Project
Summer Research ProjectSummer Research Project
Summer Research Project
 
Genetic Engineering by Kailash Sontakke Botany Sem-VI Unit-IV all
Genetic Engineering by Kailash Sontakke Botany Sem-VI Unit-IV allGenetic Engineering by Kailash Sontakke Botany Sem-VI Unit-IV all
Genetic Engineering by Kailash Sontakke Botany Sem-VI Unit-IV all
 
1.introduction to genetic engineering and restriction enzymes
1.introduction to genetic engineering and restriction enzymes1.introduction to genetic engineering and restriction enzymes
1.introduction to genetic engineering and restriction enzymes
 
Lecture 1,2
Lecture 1,2Lecture 1,2
Lecture 1,2
 
Bacterial and viral chromosomes
Bacterial and viral chromosomesBacterial and viral chromosomes
Bacterial and viral chromosomes
 
Bairoch ISB closing-talk: CALIPHO
Bairoch ISB closing-talk: CALIPHOBairoch ISB closing-talk: CALIPHO
Bairoch ISB closing-talk: CALIPHO
 
Artificial chromosome I Bacterial Artificial Chromosome I Yeast Artificial C...
 Artificial chromosome I Bacterial Artificial Chromosome I Yeast Artificial C... Artificial chromosome I Bacterial Artificial Chromosome I Yeast Artificial C...
Artificial chromosome I Bacterial Artificial Chromosome I Yeast Artificial C...
 
491-1487159777.pdf
491-1487159777.pdf491-1487159777.pdf
491-1487159777.pdf
 
491-1487159777.pdf
491-1487159777.pdf491-1487159777.pdf
491-1487159777.pdf
 
Comparative Genomics for Marker Development in Cassava
Comparative Genomics for Marker Development in CassavaComparative Genomics for Marker Development in Cassava
Comparative Genomics for Marker Development in Cassava
 
r-DNA Technology
r-DNA Technologyr-DNA Technology
r-DNA Technology
 

Dernier

8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad
8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad
8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In AhmedabadGENUINE ESCORT AGENCY
 
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service AvailableCall Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service AvailableGENUINE ESCORT AGENCY
 
Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...
Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...
Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...Ishani Gupta
 
Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...
Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...
Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...Dipal Arora
 
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeTop Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeCall Girls Delhi
 
Kollam call girls Mallu aunty service 7877702510
Kollam call girls Mallu aunty service 7877702510Kollam call girls Mallu aunty service 7877702510
Kollam call girls Mallu aunty service 7877702510Vipesco
 
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...adilkhan87451
 
Call Girls Amritsar Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Amritsar Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Amritsar Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Amritsar Just Call 8250077686 Top Class Call Girl Service AvailableDipal Arora
 
Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...
Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...
Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...GENUINE ESCORT AGENCY
 
Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...
Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...
Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...khalifaescort01
 
Call Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service AvailableDipal Arora
 
💚Call Girls In Amritsar 💯Anvi 📲🔝8725944379🔝Amritsar Call Girl No💰Advance Cash...
💚Call Girls In Amritsar 💯Anvi 📲🔝8725944379🔝Amritsar Call Girl No💰Advance Cash...💚Call Girls In Amritsar 💯Anvi 📲🔝8725944379🔝Amritsar Call Girl No💰Advance Cash...
💚Call Girls In Amritsar 💯Anvi 📲🔝8725944379🔝Amritsar Call Girl No💰Advance Cash...Sheetaleventcompany
 
Call Girls Rishikesh Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Rishikesh Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Rishikesh Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Rishikesh Just Call 8250077686 Top Class Call Girl Service AvailableDipal Arora
 
Andheri East ) Call Girls in Mumbai Phone No 9004268417 Elite Escort Service ...
Andheri East ) Call Girls in Mumbai Phone No 9004268417 Elite Escort Service ...Andheri East ) Call Girls in Mumbai Phone No 9004268417 Elite Escort Service ...
Andheri East ) Call Girls in Mumbai Phone No 9004268417 Elite Escort Service ...Anamika Rawat
 
Call Girls Mumbai Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Mumbai Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Mumbai Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Mumbai Just Call 8250077686 Top Class Call Girl Service AvailableDipal Arora
 
Saket * Call Girls in Delhi - Phone 9711199012 Escorts Service at 6k to 50k a...
Saket * Call Girls in Delhi - Phone 9711199012 Escorts Service at 6k to 50k a...Saket * Call Girls in Delhi - Phone 9711199012 Escorts Service at 6k to 50k a...
Saket * Call Girls in Delhi - Phone 9711199012 Escorts Service at 6k to 50k a...BhumiSaxena1
 
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋TANUJA PANDEY
 
Top Rated Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...
Top Rated  Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...Top Rated  Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...
Top Rated Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...chandars293
 
Top Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near Me
Top Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near MeTop Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near Me
Top Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near Mechennailover
 

Dernier (20)

8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad
8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad
8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad
 
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service AvailableCall Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service Available
 
Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...
Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...
Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...
 
Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...
Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...
Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...
 
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeTop Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
 
Kollam call girls Mallu aunty service 7877702510
Kollam call girls Mallu aunty service 7877702510Kollam call girls Mallu aunty service 7877702510
Kollam call girls Mallu aunty service 7877702510
 
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
 
Call Girls Amritsar Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Amritsar Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Amritsar Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Amritsar Just Call 8250077686 Top Class Call Girl Service Available
 
Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...
Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...
Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...
 
Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...
Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...
Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...
 
Call Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service Available
 
💚Call Girls In Amritsar 💯Anvi 📲🔝8725944379🔝Amritsar Call Girl No💰Advance Cash...
💚Call Girls In Amritsar 💯Anvi 📲🔝8725944379🔝Amritsar Call Girl No💰Advance Cash...💚Call Girls In Amritsar 💯Anvi 📲🔝8725944379🔝Amritsar Call Girl No💰Advance Cash...
💚Call Girls In Amritsar 💯Anvi 📲🔝8725944379🔝Amritsar Call Girl No💰Advance Cash...
 
🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...
🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...
🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...
 
Call Girls Rishikesh Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Rishikesh Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Rishikesh Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Rishikesh Just Call 8250077686 Top Class Call Girl Service Available
 
Andheri East ) Call Girls in Mumbai Phone No 9004268417 Elite Escort Service ...
Andheri East ) Call Girls in Mumbai Phone No 9004268417 Elite Escort Service ...Andheri East ) Call Girls in Mumbai Phone No 9004268417 Elite Escort Service ...
Andheri East ) Call Girls in Mumbai Phone No 9004268417 Elite Escort Service ...
 
Call Girls Mumbai Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Mumbai Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Mumbai Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Mumbai Just Call 8250077686 Top Class Call Girl Service Available
 
Saket * Call Girls in Delhi - Phone 9711199012 Escorts Service at 6k to 50k a...
Saket * Call Girls in Delhi - Phone 9711199012 Escorts Service at 6k to 50k a...Saket * Call Girls in Delhi - Phone 9711199012 Escorts Service at 6k to 50k a...
Saket * Call Girls in Delhi - Phone 9711199012 Escorts Service at 6k to 50k a...
 
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
 
Top Rated Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...
Top Rated  Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...Top Rated  Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...
Top Rated Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...
 
Top Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near Me
Top Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near MeTop Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near Me
Top Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near Me
 

from B-cell Biology to Data Integration

  • 1. From  B-­‐cell  Biology  to  Data   Integra3on   Gopuraja  Dharmalingam   15-­‐02-­‐2013,  Barcelona    
  • 2. Transcrip3on  Factor  -­‐  Ikaros   •  Founding  member  of  a  family  of  transcrip3on  factor   •  Expressed   in   haematopoie3c   stem   cells,   lymphoid   cells  and  some  myeloid  cells   •  Required  for  Lymphocyte  development   •  Muta3ons  in  IKZF1  observed  in  Human  Leukemia   Merkenschlager  review,  2010  
  • 3. B  lymphocyte  development   mul:-­‐lineage   progenitors   lineage-­‐restricted  lymphoid  progenitors   common   haematopoie:c   lymphoid   cycling     Res3ng     Immature     stem  cells   progenitors   pre-­‐pro-­‐B  cell   pro-­‐B  cell   pre-­‐B  cell   pre-­‐B  cell   B  cell   MLP   Fr.  A   Fr.  B/C   Fr.  C’   Fr.  D   Fr.  E   HSC   MPP   CLP   LMPP   T  cell  progenitors   B3  Cell  line  
  • 4. Challenges!!   •  Single  gene  to  genome  wide  -­‐  no  high  throughput   technologies  were  available   •  How  to  make  sense  of  the  data?   •  Linking  with  published  resources   •  Analysis   challenges:   Different   soVware   &   method   provides   different   results   (Ex:   different   peak   callers   provide  different  set  of  peaks  for  Ikaros)   •  Comparing   and   Integra3ng   data   from   different   methods  (Ex:  expression  and  binding)   •  Biological  relevance  
  • 5. B  lymphocyte  development   mul:-­‐lineage   progenitors   lineage-­‐restricted  lymphoid  progenitors   common   haematopoie:c   lymphoid   cycling     Res3ng     Immature     stem  cells   progenitors   pre-­‐pro-­‐B  cell   pro-­‐B  cell   pre-­‐B  cell   pre-­‐B  cell   B  cell   MLP   Fr.  A   Fr.  B/C   Fr.  C’   Fr.  D   Fr.  E   HSC   MPP   CLP   LMPP   T  cell  progenitors   B3  Cell  line   mRNA expression (array counts) Ikaros  target  genes?   differentiation Vidal  et  al,  2013  
  • 6. Roles  of  Ikaros  in  B-­‐cell  development?   •  Global   iden3fica3on   of   Ikaros   targets   and   regulated   genes   •  Iden3fying   pre-­‐B-­‐cell   differen3a3on   pathways   enriched  for  Ikaros  targets   •  Co-­‐occurrence   of   Ikaros   binding   with   other   hematopoie3c  transcrip3on  factors   •  Integra3ng   Ikaros   binding   and   gene   expression   with   gene   expression   changes   during   hematopoie3c   development  (using  Immgen  data)   Vidal  et  al,  2013  
  • 7. Inducible  Ikaros  construct   HA   Ikaros IKAROS   ERt2   IRES   GFP   Cytoplasm   Nucleus   HA-­‐IK-­‐ER  fusion  protein   Heat-­‐Shock  protein  in  cytoplasm   4-­‐hydroxytamoxifen  (4-­‐OHT)  
  • 8. Ikaros  induced  gene  expression  changes   Affymetrix  microarrays:   •  Mouse  Genome  430  2.0   Array  –  48h   •  Mouse  Gene  1.0  ST   Array  –  2h,  6h   Challenges:   •  Combining  two  microarray  plaborms   •  Limited  gene  annota3on  for  Mouse  Genome  430  2.0  !!   Isabel  Ferreiros  Vidal,  Tom  Carroll  
  • 9. Genome  wide  iden3fica3on  of  Ikaros   binding  sites   endogenous  Ikaros    ChIP-­‐Seq     HA-­‐tagged  Ikaros  ChIP-­‐Seq     Common:  11349  high  confidence  peaks   11349  peaks                    6746  genes                5732  in  affy  arrays     Isabel  Ferreiros  Vidal,  Anna  Terry,  Tom  Carroll  
  • 10. Integra3ng  Ikaros  binding  and  gene   expression     All   Upreg.   Downreg.   Ikaros-­‐responsive  genes  at  2h   79   28   51   Ikaros  binding  observed   65  (82.3%)   22  (78.6%)   43  (84.3%)   Ikaros  binding  expected   28   10   18   p  value   9.90x10-­‐19   4.55x10-­‐7   5.08x10-­‐14   odds  ra3o   8.55   6.75   9.9   Ikaros-­‐responsive  genes  at  6h   401   159   242   Ikaros  binding  observed   286  (71.3%)   112  (70.4%)   174  (71.9%)   Ikaros  binding  expected   141   56   85   p  value   5.88x10-­‐51   2.35x10-­‐20   2.39x10-­‐32   odds  ra3o   4.58   4.39   4.71   Ikaros-­‐responsive  genes  at  48h     4471   1982   2486   Ikaros  binding  observed   2497  (55.8%)   1195  (60.3%)   1302  (41.5%)   Ikaros  binding  expected   1573   697   875   p  value   2.16x10-­‐246   1.43x10-­‐131   7.52x10-­‐82   odds  ra3o   2.33   2.8   1.398   Vidal  et  al,  2013  
  • 11. Ikaros  de-­‐novo  mo3f   •  Top  1000  Ikaros  peaks     •  NestedMICA   Vidal  et  al,  2013  
  • 12. Mo3fs  of  other  transcrip3on   factors  close  to  Ikaros  binding  sites   Vidal  et  al,  2013  
  • 13. Ikaros  co-­‐localiza3on  with  other   hematopoie3c  transcrip3on  factors   Overlap  between  binding  sites  of   Overlap  between  genes  bound  by  karos  and   Ikaros  and  other  TFs(%)   other  TFs(%)   Vidal  et  al,  2013  
  • 14. Ikaros  targets  in  B-­‐cell     differen3a3on  pathways     Pre-­‐BCR  signaling   Cell  cycle   V(D)J  recombina3on   Vidal  et  al,  2013  
  • 15. Ikaros  target  genes  in  hematopoiesis   and    B-­‐cell  lineage  specifica3on   Goals  of  Immunological  Genome  Project  (Immgen)   •  To  study  whole-­‐genome  expression  of  all  known   Immune  cell  types  in  Mouse     •  To  predict  the  gene  regulatory  network  in  immune   cells  using  computa3onal  tools   •  Data  deposited  to  GEO  /  ArrayExpress     www.Immgen.org  
  • 16. Immgen   Igll1  gene  expression  in  B-­‐cell  popula:on   www.Immgen.org  
  • 17. Ikaros  target  genes  in  hematopoiesis   and    B-­‐cell  development    gene  expression                                                                                                                      Ikaros  binding   Cycling  to  resNng  pre-­‐B-­‐cell  transiNon          gene  expression                                                                                                                      Ikaros  binding   Vidal  et  al,  2013  
  • 18. Increased  Ikaros  expression  in  B3  cells   resembles  res3ng  pre-­‐B  cell  (Fr.D)   MLP   CLP   Fr.B/C   Fr.C’   Fr.D   B3  Ikaros   -1.5 0 +1.5 log2 ratio
  • 19. Conclusion   •  Integra3ve  analysis  allowed  us  to  address  the   role  of  Ikaros  in  B-­‐cell  biology   •  Ikaros  targets  were  highly  enriched  in  key  pre-­‐ B-­‐cell  differen3a3on  pathways   •  Inducible   Ikaros   expression   in   cycling   pre-­‐B   cells  was  sufficient  to  drive  the  transcrip3onal   changes  that  resembled  the  differen3a3on  of   cycling  to  res3ng  pre-­‐B  cells.  
  • 20. Acknowledgements   Lymphocyte  Development  Group:   University  of  Cambridge:       Manhias  Merkenschlager   Mikhail  Spivakov   Amanda  Fisher     Isabel  Ferreiros  Vidal   University  of  California,  Los   Tom  Carroll   Angeles   Ben  Taylor     Anna  Terry   Stephen  T.  Smale   Ziwei  Liang     Sanjay  Khadayate   Prashant  Srivastava   Enrico  Petreno   Lee  Cooper    
  • 21. Thank  you       Ques3ons?