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BEGR 424/Bio 324 Molecular Biology

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Presentation on theme: "BEGR 424/Bio 324 Molecular Biology"— Presentation transcript:

1 BEGR 424/Bio 324 Molecular Biology
William Terzaghi Spring, 2013

2 BEGR424/BIO 324 - Resource and Policy Information
Instructor: Dr. William Terzaghi Office: SLC 363 Office hours: MWF 10:00-12:00, or by appointment Phone: (570)

3 BEGR424/BIO 324 - Resource and Policy Information
Instructor: Dr. William Terzaghi Office: SLC 363 Office hours: MWF 10:00-12:00, or by appointment Phone: (570) Course webpage:

4 General considerations
What do you hope to learn?

5 General considerations
What do you hope to learn? Graduate courses learning about current literature

6 General considerations
What do you hope to learn? Graduate courses learning about current literature Learning how to give presentations

7 General considerations
What do you hope to learn? Graduate courses learning about current literature Learning current techniques

8 General considerations
What do you hope to learn? Graduate courses learning about current literature Learning current techniques Using them!

9 Plan A Provide a genuine experience in using cell and molecular biology to learn about a fundamental problem in biology. Rather than following a set series of lectures, study a problem and see where it leads us. Lectures & presentations will relate to current status Some class time will be spent in lab & vice-versa we may need to come in at other times as well

10 Plan A Pick a problem Design some experiments

11 Plan A Pick a problem Design some experiments See where they lead us

12 Plan A Pick a problem Design some experiments See where they lead us Grading? Combination of papers and presentations

13 Plan A Grading? Combination of papers and presentations First presentation:10 points Research presentation: 10 points Final presentation: 15 points Assignments: 5 points each Poster: 10 points Intermediate report 10 points Final report: 30 points

14 Plan A Topics? Bypassing Calvin cycle Making vectors for Dr. Harms Making vectors for Dr. Lucent Cloning & sequencing antisense RNA Studying ncRNA Something else?

15 Plan A Assignments? identify a gene and design primers presentation on new sequencing tech designing a protocol to verify your clone presentations on gene regulation presentation on applying mol bio Other work draft of report on cloning & sequencing poster for symposium final gene report draft of formal report formal report

16 Plan B Standard lecture course, except: Last lectures will be chosen by you -> electives

17 Plan B Standard lecture course, except: Last lectures will be chosen by you -> electives Last 4 labs will be an independent research project

18 Plan B Standard lecture course, except: Last lectures will be chosen by you -> electives Last 4 labs will be an independent research project 20% of grade will be “elective” Paper Talk Research proposal Poster Exam

19 Plan B schedule- Spring 2013
Date TOPIC JAN 14 General Introduction 16 Genome organization 18 Cloning & libraries: why and how 21 DNA fingerprinting 23 DNA sequencing 25 Genome projects 28 Studying proteins 30 Meiosis & recombination FEB 1 Recombination 4 Cell cycle 6 Mitosis 8 Exam 1 11 DNA replication 13 Transcription 1 15 Transcription 2 18 Transcription 3

20 20 mRNA processing 22 Post-transcriptional regulation 25 Protein degradation 27 Epigenetics MAR 1 Small RNA 4 Spring Recess 6 Spring Recess 8 Spring Recess 11 RNomics 13 Proteomics 15 Exam 2 18 Protein synthesis 1 20 Protein synthesis 2 22 Membrane structure/Protein targeting 1 25 Protein targeting 2 27 Organelle genomes 29 Easter Apr 1 Easter

21 APR 3 Mitochondrial genomes and RNA editing
5 Nuclear:cytoplasmic genome interactions 8 Elective 10 Elective 12 Elective 15 Elective 17 Elective 19 Elective 22 Elective 24 Elective 26 Elective 29 Exam 3 May 1 Elective Last Class! ??? Final examination

22 Lab Schedule Date TOPIC Jan 16 DNA extraction and analysis 23 BLAST, etc, primer design 30 PCR Feb 6 RNA extraction and analysis 13 RT-PCR 20 qRT-PCR 27 cloning PCR fragments Mar 6 Spring Recess 13 DNA sequencing 20 Induced gene expression 27 Northern analysis Apr 3 Independent project 10 Independent project 17 Independent project 24 Independent project

23 Genome Projects Studying structure & function of genomes

24 Genome Projects Studying structure & function of genomes Sequence first

25 Genome Projects Studying structure & function of genomes Sequence first Then location and function of every part

26 Genome Projects How much DNA is there? SV40 has 5000 base pairs E. coli has 5 x 106 Yeast has 2 x 107 Arabidopsis has 108 Rice has 5 x 108 Humans have 3 x 109 Soybeans have 3 x 109 Toads have 3 x 109 Salamanders have 8 x 1010 Lilies have 1011

27 Genome Projects C-value paradox: DNA content/haploid genome varies widely

28 Genome Projects C-value paradox: DNA content/haploid genome varies widely Some phyla show little variation: birds all have ~109 bp

29 Genome Projects C-value paradox: DNA content/haploid genome varies widely Some phyla show little variation: birds all have ~109 bp mammals all have ~ 3 x 109 bp

30 Genome Projects C-value paradox: DNA content/haploid genome varies widely Some phyla show little variation: birds all have ~109 bp mammals all have ~ 3 x 109 bp Other phyla are all over: insects and amphibians vary 100 x

31 Genome Projects C-value paradox: DNA content/haploid genome varies widely Some phyla show little variation: birds all have ~109 bp mammals all have ~ 3 x 109 bp Other phyla are all over: insects and amphibians vary 100 x flowering plants vary 1000x

32 C-value paradox One cause = variations in chromosome numbers and ploidy 2C chromosome numbers vary widely Haplopappus has 2

33 C-value paradox One cause = variations in chromosome numbers and ploidy 2C chromosome numbers vary widely Haplopappus has 2 Arabidopsis has 10

34 C-value paradox One cause = variations in chromosome numbers and ploidy 2C chromosome numbers vary widely Haplopappus has 2 Arabidopsis has 10 Rice has 24 Humans have 46 Tobacco (hexaploid) has 72 Kiwifruit (octaploid) have 196

35 C-value paradox Chromosome numbers vary So does chromosome size! Reason = variation in amounts of repetitive DNA

36 C-value paradox Chromosome numbers vary So does chromosome size! Reason = variation in amounts of repetitive DNA first demonstrated using Cot curves

37 Cot curves denature (melt) DNA by heating

38 Cot curves denature (melt) DNA by heating dissociates into two single strands

39 Cot curves denature (melt) DNA by heating Cool DNA

40 Cot curves denature (melt) DNA by heating Cool DNA: complementary strands find each other & anneal

41 Cot curves denature (melt) DNA by heating Cool DNA: complementary strands find each other & anneal hybridize

42 Cot curves denature (melt) DNA by heating Cool DNA: complementary strands find each other & anneal Hybridize: don't have to be the same strands

43 Cot curves denature (melt) DNA by heating Cool DNA: complementary strands find each other & anneal Hybridize: don't have to be the same strands Rate depends on [complementary strands]

44 Cot curves 1) denature DNA 2) cool DNA 3) at intervals measure [single-stranded DNA]

45 Cot curves viruses & bacteria show simple curves Cot is inversely proportional to genome size

46 Cot curves eucaryotes show 3 step curves Step 1 renatures rapidly: “highly repetitive”

47 Cot curves eucaryotes show 3 step curves Step 1 renatures rapidly: “highly repetitive” Step 2 is intermediate: “moderately repetitive”

48 Cot curves eucaryotes show 3 step curves Step 1 renatures rapidly: “highly repetitive” Step 2 is intermediate: “moderately repetitive” Step 3 is ”unique"

49 Molecular cloning To identify the types of DNA sequences found within each class they must be cloned

50 Molecular cloning To identify the types of DNA sequences found within each class they must be cloned Force host to make millions of copies of a specific sequence

51 Molecular cloning To identify the types of DNA sequences found within each class they must be cloned Why? To obtain enough copies of a specific sequence to work with! typical genes are 1,000 bp cf haploid human genome is 3,000,000,000 bp average gene is < 1/1,000,000 of total genome

52 Recombinant DNA Arose from 2 key discoveries in the 1960's 1) Werner Arber: enzymes which cut DNA at specific sites called "restriction enzymes” because restrict host range for certain bacteriophage

53 Recombinant DNA Restriction enzymes cut DNA at specific sites bacterial” immune system”: destroy “non-self” DNA

54 Recombinant DNA Restriction enzymes cut DNA at specific sites bacterial” immune system”: destroy “non-self” DNA methylase recognizes same sequence & protects it by methylating it Restriction/modification systems

55 Recombinant DNA Restriction enzymes create unpaired "sticky ends” which anneal with any complementary sequence

56 Recombinant DNA Arose from 2 key discoveries in the 1960's 1) restriction enzymes 2) Weiss: DNA ligase -> enzyme which glues DNA strands together seals "nicks" in DNA backbone

57 Molecular cloning How? 1) introduce DNA sequence into a vector Cut both DNA & vector with restriction enzymes, anneal & join with DNA ligase create a recombinant DNA molecule

58 Molecular cloning How? 1) create recombinant DNA 2) transform recombinant molecules into suitable host

59 Molecular cloning How? 1) create recombinant DNA 2) transform recombinant molecules into suitable host 3) identify hosts which have taken up your recombinant molecules

60 Molecular cloning How? 1) create recombinant DNA 2) transform recombinant molecules into suitable host 3) identify hosts which have taken up your recombinant molecules 4) Extract DNA


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