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Molecular Biology Primer

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Electrophoresis. Separate based on size and shape. Fluorescence ... 2D Gel-Electrophoresis. Protein separation. Molecular weight (Mw) Isoelectric point (pI) ... – PowerPoint PPT presentation

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Title: Molecular Biology Primer


1
Molecular Biology Primer
  • Lecture 3 September 8, 2005
  • Algorithms in Biosequence Analysis
  • Nathan Edwards - Fall, 2005

2
Biotechnology
  • Use the machinery of molecular biology to study
  • DNA
  • Genes
  • Transcription
  • Splicing
  • Proteins
  • Polymorphism
  • Coupled with samples to compare, we have systems
    biology.

3
Biotechnology
  • Use (abuse) specific proteins from biology to
    manipulate the sample
  • Biochemistry techniques make the result
    observable
  • Observation is digitized and (often) processed
    for consumption

4
DNA Manipulation
  • Restriction enzymes
  • Cut DNA into smaller pieces
  • Hybridization
  • Join two complementary single stranded DNA
    molecules
  • Polymerase Chain Reaction (PCR)
  • Make lots of copies of a small DNA region
  • Cloning / Vectors
  • Make lots of copies of a large DNA region

5
Observation
  • Electrophoresis
  • Separate based on size and shape
  • Fluorescence
  • Brightness / Color
  • Arrays
  • Compact / Position determined

6
Restriction Enzymes
  • Cut DNA at specific sequence motifs
  • EcoRI
  • EcoRII
  • EcoNI
  • IUPAC Symbols represent multiple possible bases

GAATT C C TTAAG
CCWGG GGWCC
CCTNNN NNAGG GGANN NNNTCC
7
IUPAC Amiguity Codes
  • International Union of Pure and Applied Chemistry

8
DNA Denaturation Hybridization
9
DNA Denaturation Hybridization
  • DNA will hybridize with any single DNA strand
    with the correct (complementary) DNA sequence
  • Short oligonucleotides can hybridize to the DNA
    strand instead!

10
Polymerase Chain Reaction
11
PCR
12
Cloning
  • Result is a colony of bacteria that all contain
    the inserted sequence.
  • The inserted sequence can later be extracted
    using similar techniques
  • Suitable for larger pieces than PCR

13
Electrophoresis
14
Florescence / Dyes
  • Add colors for optical detection

15
DNA Sequencing
  • Similar to PCR, but only 1 primer
  • A few special, labeled nucleotides terminate
    extension
  • Get a random mix of different length fragments
    color-coded by final nucleotide

16
DNA Sequencing
  • Electrophoresis separates the fragments by size

17
DNA sequencing
18
DNA Sequencing
19
Genotypes
  • Everybodys genome is essentially the same
  • but the differences matter
  • We each have two copies!
  • Genomic variation
  • may have a direct or indirect effect
  • records heredity
  • provides genomic landmarks

20
Genotyping Technology
Probes for each allele
Genomic DNA
SNP site
21
Genotyping Technology
Genomic DNA
SNP site
22
Genotyping Technology
Genomic DNA
SNP site
23
mRNA / Transcription
  • Reverse transcriptase
  • Makes a DNA copy of the mature RNA
  • After introns are spliced out.
  • cDNA complementary DNA
  • cDNA can then be amplified by PCR, and sequenced
  • All of the previous techniques can now be applied
    to the cDNA
  • Sequencing ESTs
  • Quantitation microarrays

24
Gene Expression
  • Quantify the amount of gene expression
  • Measure mRNA
  • cDNA hybridization and fluorescence
  • Many genes at once
  • Usually compares two samples
  • Treated, control
  • Tumor, non-tumor
  • Time course
  • Lots of images from Terry Speeds website

25
Gene Expression
  • Label samples
  • Hybridize and scan

26
Gene Expression Data
27
Proteins
  • Digestion enzymes
  • Cuts proteins into pieces
  • Separation by physical or chemical properties
  • water affinity, mass, AA composition
  • Cant amplify proteins!
  • Have to enrich the existing sample
  • Mass Spectrometry
  • Antibodies

28
2D Gel-Electrophoresis
  • Protein separation
  • Molecular weight (Mw)
  • Isoelectric point (pI)
  • Staining
  • Birds-eye view of protein abundance

29
2D Gel-Electrophoresis
Bécamel et al., Biol. Proced. Online 2002494-104
.
30
Mass Spectrometer
  • ElectronMultiplier(EM)
  • Time-Of-Flight (TOF)
  • Quadrapole
  • Ion-Trap
  • MALDI
  • Electro-SprayIonization (ESI)

31
Mass Spectrometer (MALDI-TOF)
UV (337 nm)
Microchannel plate detector
Field-free drift zone
Source
Pulse voltage
Analyte/matrix
Ed 0
Length D
Length s
Backing plate (grounded)
Extraction grid (source voltage -Vs)
Detector grid -Vs
32
Mass Spectrum
33
Mass is fundamental
34
Mass Spectrum
35
Mass Spectrum
  • Isotope Cluster
  • 12C 99
  • 13C 1

36
Peptide Mass Fingerprint
Cut out 2D-GelSpot
37
Peptide Mass Fingerprint
Trypsin Digest
38
Peptide Mass Fingerprint
  • Trypsin digestion enzyme
  • Highly specific
  • Cuts after K R except if followed by P
  • Protein sequence from sequence database
  • In silico digest
  • Mass computation
  • For each protein sequence in turn
  • Compare computer generated masses with observed
    spectrum

39
Protein Sequence
  • Myoglobin - Plains zebraGLSDGEWQQV LNVWGKVEAD
    IAGHGQEVLI RLFTGHPETL EKFDKFKHLK TEAEMKASED
    LKKHGTVVLT ALGGILKKKG HHEAELKPLA QSHATKHKIP
    IKYLEFISDA IIHVLHSKHP GDFGADAQGA MTKALELFRN
    DIAAKYKELG FQG

40
Protein Sequence
  • Myoglobin - Plains zebraGLSDGEWQQV LNVWGKVEAD
    IAGHGQEVLI RLFTGHPETL EKFDKFKHLK TEAEMKASED
    LKKHGTVVLT ALGGILKKKG HHEAELKPLA QSHATKHKIP
    IKYLEFISDA IIHVLHSKHP GDFGADAQGA MTKALELFRN
    DIAAKYKELG FQG

41
Peptide Masses
  • 1811.90 GLSDGEWQQVLNVWGK
  • 1606.85 VEADIAGHGQEVLIR
  • 1271.66 LFTGHPETLEK
  • 1378.83 HGTVVLTALGGILK
  • 1982.05 KGHHEAELKPLAQSHATK
  • 1853.95 GHHEAELKPLAQSHATK
  • 1884.01 YLEFISDAIIHVLHSK
  • 1502.66 HPGDFGADAQGAMTK
  • 748.43 ALELFR

42
Peptide Mass Fingerprint
YLEFISDAIIHVLHSK
GHHEAELKPLAQSHATK
GLSDGEWQQVLNVWGK
HPGDFGADAQGAMTK
VEADIAGHGQEVLIR
HGTVVLTALGGILK
KGHHEAELKPLAQSHATK
ALELFR
LFTGHPETLEK
43
Stable Isotope Labeling
44
Stable Isotope Labeling
  • SILAC Lysine with 12C6 vs 13C6

45
Tandem Mass Spectrometry(MS/MS)
Precursor selection
46
Tandem Mass Spectrometry(MS/MS)
Precursor selection collision induced
dissociation (CID)
MS/MS
47
Peptide Fragmentation
yn-i-1
-HN-CH-CO-NH-CH-CO-NH-
CH-R
Ri
i1
R
i1
bi1
48
Peptide Fragmentation
Peptide S-G-F-L-E-E-D-E-L-K
49
De Novo Interpretation
50
De Novo Interpretation
51
Bioinformatics Problems
  • Inverse problems
  • Identify or quantify the DNA, RNA, Protein from
    observations
  • Incorporation of EST / peptide evidence into gene
    finders
  • Genome assembly
  • Disease association
  • Hybridization assay design
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