SlideShare a Scribd company logo
1 of 22
Presented BY:
   Pradeep Jaswani
M.S.c MHG III semester
Jiwaji University Gwalior
          (M.P)
Contents
Introduction
Principles & strategies in identifying disease gene
Position independent strategies for identifying disease gene
 Identifying disease gene though knowing the protein product
 Identifying disease gene though an animal model
 Identification of a diseases gene using position independent
   DNA sequence knowledge
Positional cloning
 Single stand conformation polymorphism analysis
 Hetero duplex analysis
Candidate gene approach
INTRODUCTION
“Identifying genetic determinants of human
  phenotypes”.

The approach described are equally applicable
  to identifying determinants of diseases or of
  normal variations such as red hair or red-
  green color blindness.
PRINCIPLES & STRATEGIES IN IDENTIFYING
               DISEASE GENE

• There are many different ways of arriving at
  the final identification, but all path converge
  on a candidate gene.

• One way or another, a candidate gene is
  identified; the researcher then test the
  hypothesis that these gene is disease gene by
  screening it for mutation
• Candidate genes may be identified without
  reference to their chromosomal location but
  more commonly, first a candidate chromosomal
  region is pinpointed, and then candidate genes
  are identified from within that region.

• Positional information reduces the list of possible
  candidates from all 30000 or so on human genes
  to may be 10-30genes in a candidate region.
• Over and over again, when a disease gene is
  finally identified, it remains a complete mystery
  why mutation should cause that particular
  disease
• For e.g. why should loss of function of the
  FMR1 protein, involved in transporting RNA
  from nucleus to cytoplasm cause, cause mental
  retardation (Fragile-X syndrome)
POSITION INDEPENDENT STRATEGIES FOR
        IDENTIFYING DISEASE GENE
Historically, the first diseases genes were
  identified by position independent methods,
  simply because no relevant mapping
  information existed an no techniques were
  available to generate it.
Under those circumstances the candidate must
  be suggested by the knowledge of the gene
  product: β-globin for sickle cell disease,
  phenylalanine hydroxylase for PKU.
E1
                  B1             N                       D1 Genetic
A1          Y                         C1 Collect                             Successfully
Mapped             Candidate                                  mapping:
                   chromosomal             families                          located?
candidate                                                     genome
                   region?                 for                               N
homolog?                                                      search
                                           mapping
                       Y                                 D2                 E2
                                      C2                  Clone the         Think again
 N                B2                   Chromosoma         chromoso          about mode of
                   Check               l deletions or     mal               inheritance,
A3                                                                          heterogeneity
                   database            translocation      breakpoints
Cloned                                 s
                   for genes                            D3                  E3    Think again
candidate                                                    Identify new
   B3                                                                             about
homolog?                                                     human                candidate
                  B3                                         genes                gene & go to
                  Possible                                                        A3 B2 D3
                                                          D4
                  candidate                               Work out full       N
                  gene                                    sequence &        E5
                     Y                           N        structure           Pathogenic
                  B4                                                          mutations
                                     C5                  D5
                  Has it been                                                 found?
                                      Collect             Look for
                  fully                                                              Y
                                   Y unrelated            mutations
 Model            characterized       patients
 organism       Database searching                      Laboratory work          success
                                     Clinical Input
IDENTIFYING DISEASE GENE THOUGH KNOWING THE
PROTEIN PRODUCT
Modern proteomic technique allow even very
  tiny quantities of protein to be identified or
  partially sequenced by mass
  spectrophotometery.
As only one of the nucleotide in the mixture will
  corresponding to the authentic sequence, it is
  important to keep the number of different
  oligonucleotides low so as to increase the
  chance of identifying correct target.
The number of possible permutations should be
  reduced by ligating the target cDNA to a vector
  and using one vector-specific primer and one
  degenerate protein specific-primer
Host cells containing clones with the desired
  gene should produce the protein or at least
  parts of the protein, and could be indentified
  using colony filters from the library with an
  appropriate antibody.
A more rapid alternative is to use partially
  degenerate oligonucleotides as PCR primers
IDENTIFYING DISEASE GENE THOUGH
        AN ANIMAL MODEL
• Many human diseases genes have been
   identified with the help of animal models-but
   nearly always this has been after checking
   positional information's
A mouse mutant and a phenotypically similar
   human diseases are mapped to chromosomal
   location that are corresponds.
If the mouse gene is cloned its human homolog
   became a natural candidate.
• Alternatively a diseases gene may be identified
  in the mouse and then the human homolog
  isolated; this can be mapped by fluorescence
  in situ Hybridization, and becomes a candidate
  gene for any relevant diseases mapping to that
  location.
• This is how the MIFT gene was identified as a
  cause of type2 waardenburg syndrome (Hughes
  et al 1994).
IDENTIFICATION OF A DISEASES GENE USING POSITION
    INDEPENDENT DNA SEQUENCE KNOWLEDGE
• Positional independent candidates are also
  generated by expression array experiment in
  which mRNA samples from patient and
  controls are compared to produce a list of
  genes whose expression is alter in the disease.
• An interesting application of positional
  independent DNA sequence knowledge is
  attempt to clone genes containing novel
  trinucleotide repeats.
• The repeat expansion detection method of
  schalling et al 1993 permits detection of
  expanded repeats in unfractionated genomic
  DNA of affected patient and method have been
  developed for cloning expanded repeats
  detected (koob et al 1998).
Positional cloning
A diseases is identified knowing nothing except its
  appropriate chromosomal location.
The first successful application was identification of
  the gene for X-linked chronic granulomatous
  disease (Royer- Pokora et al 1985)
The successful conclusion of these work in 1986
  marked the start of triumphant new era for
  human molecular genetics.
One after another, the genes underlying important
  disorder such as cystic fibrosis, Huntington's
  diseases.
Define the candidate region

  Obtain clones of all the DNA of the region

 Identify all the genes in the region

  Prioritize them for mutation screening

  Test candidate genes for mutation in affected people

Fig: Logic of positional cloning
A NUMBER OF POSITIONAL CLONING METHODS
         ARE USED AS FOLLOWS:-

Single strand conformation polymorphism
 (SSCP)
Denaturing gradient gel electrophoresis
 (DGGE)
Heteroduplex analysis
Chemical mismatch cleavage protein
 truncation test (PTT)
SINGLE STRAND CONFORMATION POLYMORPHISM
(SSCP)




Reference: http://www.wikilectures.eu/index.php/DNA_Diagnostic_Direct_Methods
CANDIDATE GENE APPROACH
• A functional/candidate gene cloning project
  starts with either the known protein that is
  responsible for an inherited disorder or a
  protein that is considered a likely candidate
  based on the symptoms and biochemistry of
  the disease.
• The amino acid sequence of the protein is
  used to deduce the possible cloning sequence
  of the corresponding gene.
Fig: candidate
 gene approach            Known (or candidate) protein



                           Deduce nucleic acid sequence



                     Examine human genome database




                                            Retrieve bacterial
Localize                                                              Characterize gene
                                            artificial
chromosome           Identify exons         chromosome (BAC)
                                                                      structure
region                                      clones




       Develop                                                   Devise DNA
       mutation                   Mutation
                                                                 diagnostic
       detection assays           phenotype studies
                                                                 tests
REFERENCES
 HUMAN MOLECULAR GENETICS “Tom strachan &
 Read”
 AN INTRODUCTION TO HUMAN MOLECULAR
 GENETICS “Jack J.Pasternek”
http://www.wikilectures.eu/index.php/DNA_Di
 agnostic_Direct_Methods
Pradeep.ii

More Related Content

What's hot

DNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCING
DNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCINGDNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCING
DNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCINGPuneet Kulyana
 
SAGE- Serial Analysis of Gene Expression
SAGE- Serial Analysis of Gene ExpressionSAGE- Serial Analysis of Gene Expression
SAGE- Serial Analysis of Gene ExpressionAashish Patel
 
Enzymes used in Genetic Engineering
Enzymes used in Genetic EngineeringEnzymes used in Genetic Engineering
Enzymes used in Genetic EngineeringSmita Shukla
 
Comparitive genome mapping and model systems
Comparitive genome mapping and model systemsComparitive genome mapping and model systems
Comparitive genome mapping and model systemsHimanshi Chauhan
 
Sequenced taged sites (sts)
Sequenced taged sites (sts)Sequenced taged sites (sts)
Sequenced taged sites (sts)DHANRAJ GIRIMAL
 
Genomics(functional genomics)
Genomics(functional genomics)Genomics(functional genomics)
Genomics(functional genomics)IndrajaDoradla
 
NEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCINGNEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCINGBilal Nizami
 
Comparative genomics
Comparative genomicsComparative genomics
Comparative genomicsAthira RG
 
Single nucleotide polymorphism, (SNP)
Single nucleotide polymorphism, (SNP)Single nucleotide polymorphism, (SNP)
Single nucleotide polymorphism, (SNP)KAUSHAL SAHU
 

What's hot (20)

Physical mapping
Physical mappingPhysical mapping
Physical mapping
 
DNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCING
DNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCINGDNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCING
DNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCING
 
SAGE- Serial Analysis of Gene Expression
SAGE- Serial Analysis of Gene ExpressionSAGE- Serial Analysis of Gene Expression
SAGE- Serial Analysis of Gene Expression
 
Genome sequencing
Genome sequencingGenome sequencing
Genome sequencing
 
Genome mapping
Genome mapping Genome mapping
Genome mapping
 
LIGATION OF DNA
LIGATION OF DNALIGATION OF DNA
LIGATION OF DNA
 
Shotgun and clone contig method
Shotgun and clone contig methodShotgun and clone contig method
Shotgun and clone contig method
 
Est database
Est databaseEst database
Est database
 
Enzymes used in Genetic Engineering
Enzymes used in Genetic EngineeringEnzymes used in Genetic Engineering
Enzymes used in Genetic Engineering
 
Genome editing
Genome editingGenome editing
Genome editing
 
Comparitive genome mapping and model systems
Comparitive genome mapping and model systemsComparitive genome mapping and model systems
Comparitive genome mapping and model systems
 
Sequenced taged sites (sts)
Sequenced taged sites (sts)Sequenced taged sites (sts)
Sequenced taged sites (sts)
 
Genomics(functional genomics)
Genomics(functional genomics)Genomics(functional genomics)
Genomics(functional genomics)
 
NEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCINGNEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCING
 
Restriction-Modification system, Types of Restriction enzymes
Restriction-Modification system, Types of Restriction enzymesRestriction-Modification system, Types of Restriction enzymes
Restriction-Modification system, Types of Restriction enzymes
 
Comparative genomics
Comparative genomicsComparative genomics
Comparative genomics
 
Single nucleotide polymorphism, (SNP)
Single nucleotide polymorphism, (SNP)Single nucleotide polymorphism, (SNP)
Single nucleotide polymorphism, (SNP)
 
Labelling of dna
Labelling of dnaLabelling of dna
Labelling of dna
 
Genome Mapping
Genome MappingGenome Mapping
Genome Mapping
 
Transposons
TransposonsTransposons
Transposons
 

Viewers also liked

QTLNetMiner - Efficient search and prioritization of gene evidence networks
QTLNetMiner - Efficient search and prioritization of gene evidence networksQTLNetMiner - Efficient search and prioritization of gene evidence networks
QTLNetMiner - Efficient search and prioritization of gene evidence networksKeywan Hassani-Pak
 
Gene identification and discovery
Gene identification and discoveryGene identification and discovery
Gene identification and discoveryAmit Ruchi Yadav
 
Chromosome walking
Chromosome walkingChromosome walking
Chromosome walkingAleena Khan
 

Viewers also liked (6)

QTLNetMiner - Efficient search and prioritization of gene evidence networks
QTLNetMiner - Efficient search and prioritization of gene evidence networksQTLNetMiner - Efficient search and prioritization of gene evidence networks
QTLNetMiner - Efficient search and prioritization of gene evidence networks
 
Genetic Mapping
Genetic MappingGenetic Mapping
Genetic Mapping
 
Chromosome walking
Chromosome walking Chromosome walking
Chromosome walking
 
Gene identification and discovery
Gene identification and discoveryGene identification and discovery
Gene identification and discovery
 
Rflp
RflpRflp
Rflp
 
Chromosome walking
Chromosome walkingChromosome walking
Chromosome walking
 

Similar to Pradeep.ii

Probabilistic refinement of cellular pathway models
Probabilistic refinement of cellular pathway modelsProbabilistic refinement of cellular pathway models
Probabilistic refinement of cellular pathway modelsFlorian Markowetz
 
Next Generation Sequencing for Joubert Poster
Next Generation Sequencing for Joubert PosterNext Generation Sequencing for Joubert Poster
Next Generation Sequencing for Joubert Postersptaylor
 
Next Generation Sequencing for Joubert Syndrome
Next Generation Sequencing for Joubert SyndromeNext Generation Sequencing for Joubert Syndrome
Next Generation Sequencing for Joubert Syndromesptaylor
 
Multi-scale network biology model & the model library
Multi-scale network biology model & the model libraryMulti-scale network biology model & the model library
Multi-scale network biology model & the model librarylaserxiong
 
cytogenomics tools and techniques and chromosome sorting.pptx
cytogenomics tools and techniques and chromosome sorting.pptxcytogenomics tools and techniques and chromosome sorting.pptx
cytogenomics tools and techniques and chromosome sorting.pptxPABOLU TEJASREE
 
PGT Applications and Biopsy procedures - COOK Media workshop- Dubai 2014
PGT Applications and Biopsy procedures - COOK Media workshop- Dubai  2014PGT Applications and Biopsy procedures - COOK Media workshop- Dubai  2014
PGT Applications and Biopsy procedures - COOK Media workshop- Dubai 2014Metwalley Metwalley
 
Forensic dna typing by John M Butler
Forensic dna typing by John M ButlerForensic dna typing by John M Butler
Forensic dna typing by John M ButlerMuhammad Ahmad
 
Genomic In-Situ Hybridization (GISH)-Principles, Methods and Applications in ...
Genomic In-Situ Hybridization (GISH)-Principles, Methods and Applications in ...Genomic In-Situ Hybridization (GISH)-Principles, Methods and Applications in ...
Genomic In-Situ Hybridization (GISH)-Principles, Methods and Applications in ...Banoth Madhu
 
Neuromics Presentation V4
Neuromics Presentation V4Neuromics Presentation V4
Neuromics Presentation V4Pete Shuster
 
Friend Oslo 2012-09-09
Friend Oslo 2012-09-09Friend Oslo 2012-09-09
Friend Oslo 2012-09-09Sage Base
 
from B-cell Biology to Data Integration
from B-cell Biology to Data Integrationfrom B-cell Biology to Data Integration
from B-cell Biology to Data IntegrationCOST action BM1006
 
Friend WIN Symposium 2012-06-28
Friend WIN Symposium 2012-06-28Friend WIN Symposium 2012-06-28
Friend WIN Symposium 2012-06-28Sage Base
 
Stephen Friend NIH PPP Coordinating Committee Meeting 2012-02-16
Stephen Friend NIH PPP Coordinating Committee Meeting 2012-02-16Stephen Friend NIH PPP Coordinating Committee Meeting 2012-02-16
Stephen Friend NIH PPP Coordinating Committee Meeting 2012-02-16Sage Base
 
Molecular Biology
Molecular BiologyMolecular Biology
Molecular Biologysalorave
 
recombinantdnatech-200721165223 (2).pdf
recombinantdnatech-200721165223 (2).pdfrecombinantdnatech-200721165223 (2).pdf
recombinantdnatech-200721165223 (2).pdfssusered2921
 
Mapping and Cloning of Human disease gene
Mapping and Cloning of Human disease geneMapping and Cloning of Human disease gene
Mapping and Cloning of Human disease geneVASANTKUMAR31
 
Gabbay81109pre07 12588919989864-phpapp02
Gabbay81109pre07 12588919989864-phpapp02Gabbay81109pre07 12588919989864-phpapp02
Gabbay81109pre07 12588919989864-phpapp02t7260678
 

Similar to Pradeep.ii (20)

Probabilistic refinement of cellular pathway models
Probabilistic refinement of cellular pathway modelsProbabilistic refinement of cellular pathway models
Probabilistic refinement of cellular pathway models
 
3UnitGeneMapping.pptx
3UnitGeneMapping.pptx3UnitGeneMapping.pptx
3UnitGeneMapping.pptx
 
Next Generation Sequencing for Joubert Poster
Next Generation Sequencing for Joubert PosterNext Generation Sequencing for Joubert Poster
Next Generation Sequencing for Joubert Poster
 
Next Generation Sequencing for Joubert Syndrome
Next Generation Sequencing for Joubert SyndromeNext Generation Sequencing for Joubert Syndrome
Next Generation Sequencing for Joubert Syndrome
 
Multi-scale network biology model & the model library
Multi-scale network biology model & the model libraryMulti-scale network biology model & the model library
Multi-scale network biology model & the model library
 
cytogenomics tools and techniques and chromosome sorting.pptx
cytogenomics tools and techniques and chromosome sorting.pptxcytogenomics tools and techniques and chromosome sorting.pptx
cytogenomics tools and techniques and chromosome sorting.pptx
 
PGT Applications and Biopsy procedures - COOK Media workshop- Dubai 2014
PGT Applications and Biopsy procedures - COOK Media workshop- Dubai  2014PGT Applications and Biopsy procedures - COOK Media workshop- Dubai  2014
PGT Applications and Biopsy procedures - COOK Media workshop- Dubai 2014
 
Forensic dna typing by John M Butler
Forensic dna typing by John M ButlerForensic dna typing by John M Butler
Forensic dna typing by John M Butler
 
Genomic In-Situ Hybridization (GISH)-Principles, Methods and Applications in ...
Genomic In-Situ Hybridization (GISH)-Principles, Methods and Applications in ...Genomic In-Situ Hybridization (GISH)-Principles, Methods and Applications in ...
Genomic In-Situ Hybridization (GISH)-Principles, Methods and Applications in ...
 
Neuromics Presentation V4
Neuromics Presentation V4Neuromics Presentation V4
Neuromics Presentation V4
 
Friend Oslo 2012-09-09
Friend Oslo 2012-09-09Friend Oslo 2012-09-09
Friend Oslo 2012-09-09
 
from B-cell Biology to Data Integration
from B-cell Biology to Data Integrationfrom B-cell Biology to Data Integration
from B-cell Biology to Data Integration
 
Gene mapping
Gene mappingGene mapping
Gene mapping
 
Friend WIN Symposium 2012-06-28
Friend WIN Symposium 2012-06-28Friend WIN Symposium 2012-06-28
Friend WIN Symposium 2012-06-28
 
Stephen Friend NIH PPP Coordinating Committee Meeting 2012-02-16
Stephen Friend NIH PPP Coordinating Committee Meeting 2012-02-16Stephen Friend NIH PPP Coordinating Committee Meeting 2012-02-16
Stephen Friend NIH PPP Coordinating Committee Meeting 2012-02-16
 
Molecular Biology
Molecular BiologyMolecular Biology
Molecular Biology
 
recombinantdnatech-200721165223 (2).pdf
recombinantdnatech-200721165223 (2).pdfrecombinantdnatech-200721165223 (2).pdf
recombinantdnatech-200721165223 (2).pdf
 
Mapping and Cloning of Human disease gene
Mapping and Cloning of Human disease geneMapping and Cloning of Human disease gene
Mapping and Cloning of Human disease gene
 
Gabbay81109pre07 12588919989864-phpapp02
Gabbay81109pre07 12588919989864-phpapp02Gabbay81109pre07 12588919989864-phpapp02
Gabbay81109pre07 12588919989864-phpapp02
 
Molecular taxonomy
Molecular taxonomyMolecular taxonomy
Molecular taxonomy
 

Recently uploaded

Meghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentMeghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentInMediaRes1
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,Virag Sontakke
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitolTechU
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxsocialsciencegdgrohi
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
CELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxCELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxJiesonDelaCerna
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerunnathinaik
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfMahmoud M. Sallam
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxEyham Joco
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 

Recently uploaded (20)

Meghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentMeghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media Component
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptx
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
CELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxCELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptx
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developer
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdf
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptx
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 

Pradeep.ii

  • 1. Presented BY: Pradeep Jaswani M.S.c MHG III semester Jiwaji University Gwalior (M.P)
  • 2. Contents Introduction Principles & strategies in identifying disease gene Position independent strategies for identifying disease gene  Identifying disease gene though knowing the protein product  Identifying disease gene though an animal model  Identification of a diseases gene using position independent DNA sequence knowledge Positional cloning  Single stand conformation polymorphism analysis  Hetero duplex analysis Candidate gene approach
  • 3. INTRODUCTION “Identifying genetic determinants of human phenotypes”. The approach described are equally applicable to identifying determinants of diseases or of normal variations such as red hair or red- green color blindness.
  • 4. PRINCIPLES & STRATEGIES IN IDENTIFYING DISEASE GENE • There are many different ways of arriving at the final identification, but all path converge on a candidate gene. • One way or another, a candidate gene is identified; the researcher then test the hypothesis that these gene is disease gene by screening it for mutation
  • 5. • Candidate genes may be identified without reference to their chromosomal location but more commonly, first a candidate chromosomal region is pinpointed, and then candidate genes are identified from within that region. • Positional information reduces the list of possible candidates from all 30000 or so on human genes to may be 10-30genes in a candidate region.
  • 6. • Over and over again, when a disease gene is finally identified, it remains a complete mystery why mutation should cause that particular disease • For e.g. why should loss of function of the FMR1 protein, involved in transporting RNA from nucleus to cytoplasm cause, cause mental retardation (Fragile-X syndrome)
  • 7. POSITION INDEPENDENT STRATEGIES FOR IDENTIFYING DISEASE GENE Historically, the first diseases genes were identified by position independent methods, simply because no relevant mapping information existed an no techniques were available to generate it. Under those circumstances the candidate must be suggested by the knowledge of the gene product: β-globin for sickle cell disease, phenylalanine hydroxylase for PKU.
  • 8. E1 B1 N D1 Genetic A1 Y C1 Collect Successfully Mapped Candidate mapping: chromosomal families located? candidate genome region? for N homolog? search mapping Y D2 E2 C2 Clone the Think again N B2 Chromosoma chromoso about mode of Check l deletions or mal inheritance, A3 heterogeneity database translocation breakpoints Cloned s for genes D3 E3 Think again candidate Identify new B3 about homolog? human candidate B3 genes gene & go to Possible A3 B2 D3 D4 candidate Work out full N gene sequence & E5 Y N structure Pathogenic B4 mutations C5 D5 Has it been found? Collect Look for fully Y Y unrelated mutations Model characterized patients organism Database searching Laboratory work success Clinical Input
  • 9. IDENTIFYING DISEASE GENE THOUGH KNOWING THE PROTEIN PRODUCT Modern proteomic technique allow even very tiny quantities of protein to be identified or partially sequenced by mass spectrophotometery. As only one of the nucleotide in the mixture will corresponding to the authentic sequence, it is important to keep the number of different oligonucleotides low so as to increase the chance of identifying correct target.
  • 10. The number of possible permutations should be reduced by ligating the target cDNA to a vector and using one vector-specific primer and one degenerate protein specific-primer Host cells containing clones with the desired gene should produce the protein or at least parts of the protein, and could be indentified using colony filters from the library with an appropriate antibody. A more rapid alternative is to use partially degenerate oligonucleotides as PCR primers
  • 11. IDENTIFYING DISEASE GENE THOUGH AN ANIMAL MODEL • Many human diseases genes have been identified with the help of animal models-but nearly always this has been after checking positional information's A mouse mutant and a phenotypically similar human diseases are mapped to chromosomal location that are corresponds. If the mouse gene is cloned its human homolog became a natural candidate.
  • 12. • Alternatively a diseases gene may be identified in the mouse and then the human homolog isolated; this can be mapped by fluorescence in situ Hybridization, and becomes a candidate gene for any relevant diseases mapping to that location. • This is how the MIFT gene was identified as a cause of type2 waardenburg syndrome (Hughes et al 1994).
  • 13. IDENTIFICATION OF A DISEASES GENE USING POSITION INDEPENDENT DNA SEQUENCE KNOWLEDGE • Positional independent candidates are also generated by expression array experiment in which mRNA samples from patient and controls are compared to produce a list of genes whose expression is alter in the disease. • An interesting application of positional independent DNA sequence knowledge is attempt to clone genes containing novel trinucleotide repeats.
  • 14. • The repeat expansion detection method of schalling et al 1993 permits detection of expanded repeats in unfractionated genomic DNA of affected patient and method have been developed for cloning expanded repeats detected (koob et al 1998).
  • 15. Positional cloning A diseases is identified knowing nothing except its appropriate chromosomal location. The first successful application was identification of the gene for X-linked chronic granulomatous disease (Royer- Pokora et al 1985) The successful conclusion of these work in 1986 marked the start of triumphant new era for human molecular genetics. One after another, the genes underlying important disorder such as cystic fibrosis, Huntington's diseases.
  • 16. Define the candidate region Obtain clones of all the DNA of the region Identify all the genes in the region Prioritize them for mutation screening Test candidate genes for mutation in affected people Fig: Logic of positional cloning
  • 17. A NUMBER OF POSITIONAL CLONING METHODS ARE USED AS FOLLOWS:- Single strand conformation polymorphism (SSCP) Denaturing gradient gel electrophoresis (DGGE) Heteroduplex analysis Chemical mismatch cleavage protein truncation test (PTT)
  • 18. SINGLE STRAND CONFORMATION POLYMORPHISM (SSCP) Reference: http://www.wikilectures.eu/index.php/DNA_Diagnostic_Direct_Methods
  • 19. CANDIDATE GENE APPROACH • A functional/candidate gene cloning project starts with either the known protein that is responsible for an inherited disorder or a protein that is considered a likely candidate based on the symptoms and biochemistry of the disease. • The amino acid sequence of the protein is used to deduce the possible cloning sequence of the corresponding gene.
  • 20. Fig: candidate gene approach Known (or candidate) protein Deduce nucleic acid sequence Examine human genome database Retrieve bacterial Localize Characterize gene artificial chromosome Identify exons chromosome (BAC) structure region clones Develop Devise DNA mutation Mutation diagnostic detection assays phenotype studies tests
  • 21. REFERENCES  HUMAN MOLECULAR GENETICS “Tom strachan & Read”  AN INTRODUCTION TO HUMAN MOLECULAR GENETICS “Jack J.Pasternek” http://www.wikilectures.eu/index.php/DNA_Di agnostic_Direct_Methods