Everything you wanted to know about ENCODE - PowerPoint PPT Presentation

1 / 46
About This Presentation
Title:

Everything you wanted to know about ENCODE

Description:

Top 5 Reasons Biologists Go Into Bioinformatics. 5 - Microscopes and biochemistry are so 20th century. ... Close up of same region. The END. How is a gene turned on? ... – PowerPoint PPT presentation

Number of Views:96
Avg rating:3.0/5.0
Slides: 47
Provided by: jimk88
Category:

less

Transcript and Presenter's Notes

Title: Everything you wanted to know about ENCODE


1
Everything you wanted to know about ENCODE
  • But were afraid to ask

2
Top 5 Reasons Biologists Go Into Bioinformatics
  • 5 - Microscopes and biochemistry are so 20th
    century.

3
Top 5 Reasons Biologists Go Into Bioinformatics
  • 5 - Microscopes and biochemistry are so 20th
    century.
  • 4 - Got started purifying proteins, but it turns
    out the cold room is really COLD.

4
Top 5 Reasons Biologists Go Into Bioinformatics
  • 5 - Microscopes and biochemistry are so 20th
    century.
  • 4 - Got started purifying proteins, but it turns
    out the cold room is really COLD.
  • 3 - After 23 years of school wanted to make MORE
    than 23,000/year as a postdoc.

5
Top 5 Reasons Biologists Go Into Bioinformatics
  • 5 - Microscopes and biochemistry are so 20th
    century.
  • 4 - Got started purifying proteins, but it turns
    out the cold room is really COLD.
  • 3 - After 23 years of school wanted to make MORE
    than 23,000/year as a postdoc.
  • 2 - Like to swear, _at_ttracted to _ Perl !!

6
Top 5 Reasons Biologists Go Into Bioinformatics
  • 5 - Microscopes and biochemistry are so 20th
    century.
  • 4 - Got started purifying proteins, but it turns
    out the cold room is really COLD.
  • 3 - After 23 years of school wanted to make MORE
    than 23,000/year as a postdoc.
  • 2 - Like to swear, _at_ttracted to _ Perl !!
  • 1 - Getting carpel tunnel from pipetting

7
Top 5 Reasons Computer People go into
Bioinformatics
  • 5 - Bio courses actually have some females.

8
Top 5 Reasons Computer People go into
Bioinformatics
  • 5 - Bio courses actually have some females.
  • 4 - Human genome more stable than Windows XP

9
Top 5 Reasons Computer People go into
Bioinformatics
  • 5 - Bio courses actually have some females.
  • 4 - Human genome more stable than Windows XP
  • 3 - Having mastered binary trees, quad trees, and
    parse trees ready for phylogenic trees.

10
Top 5 Reasons Computer People go into
Bioinformatics
  • 5 - Bio courses actually have some females.
  • 4 - Human genome more stable than Windows XP
  • 3 - Having mastered binary trees, quad trees, and
    parse trees ready for phylogenic trees.
  • 2 - Missing heady froth of the internet bubble.

11
Top 5 Reasons Computer People go into
Bioinformatics
  • 5 - Bio courses actually have some females.
  • 4 - Human genome more stable than Windows XP
  • 3 - Having mastered binary trees, quad trees, and
    parse trees ready for phylogenic trees.
  • 2 - Missing heady froth of the internet bubble.
  • 1 - Must augment humanity to defeat evil
    artificial intelligent robots.

12
The Paradox of Genomics
How does a long, static, one dimensional string
of DNA turn into the remarkably complex, dynamic,
and three dimensional human body?
GTTTGCCATCTTTTGCTGCTCTAGGGAATCCAGCAGCTGTCACCATG
TAAACAAGCCCAGGCTAGACCAGTTACCCTCATCATCTTAGCTGATA
GCCAGCCAGCCACCACAGGCATGAGT
13
Looks like code not enough, must study actual
cells DNA
14
How DNA is Used by the Cell
15
Promoter Tells Where to Begin
Different promoters activate different genes
in different parts of the body.
16
A Computer in Soup
Idealized promoter for a gene involved in making
hair. Proteins that bind to specific DNA
sequences in the promoter region together turn a
gene on or off. These proteins are themselves
regulated by their own promoters leading to a
gene regulatory network with many of the same
properties as a neural network.
17
Regulation By Txn Factor Binding
When I-KB is removed from by phosphorylation,
NF-KB complex binds to dna.
Note that you would need Both NF-KB p65 and NF-KB
p50 Subunits to be expressed in same cell For
this transcription activation Pathway to work.
Selective, combinatorical expression of txn
factors is very important In defining different
types of cells.
18
The Decisions of a Cell
  • When to reproduce?
  • When to migrate and where?
  • What to differentiate into?
  • When to secrete something?
  • When to make an electrical signal?

The more rapid decisions usually are via the cell
membrane and 2nd messengers. The longer acting
decisions are usually made in the nucleus.
19
Nucleus Used to Appear Simple
  • Cheek cells stained with basic dyes. Nuclei are
    readily visible.

20
Mammalian Nuclei Stained in Various Ways
Image from Tom Misteli lab
21
Artists rendition of nucleus
Image from nuclear protein database
22
Chromatin
23
Turning on a gene
  • Getting DNA into the right compartment of the
    nucleus (may involve very diffuse signals in DNA
    over very long distances)
  • Loosening up chromatin structure (this involves
    enhancers and repressors which can act over
    relatively long distances)
  • Attracting RNA Polymerase II to the transcription
    start site (these involve relatively close
    factors both upstream and downstream of
    transcription start).

24
HISTONE MODIFICATIONS
4
Modification
Effect
H3K4me3
H3K4me2
H3K4me1
H3acK9/14
H4acK5/8/12/16
Slide adapted from Christoph Kock, Sanger
Institute
25
(No Transcript)
26
Methods for Studying Transcription
  • Traditional
  • Genetics in model organisms
  • Promoters/enhancers hooked to reporter genes
  • Gel shifts and DNAse footprinting.
  • ENCODE/High Throughput
  • Phylogenic footprinting
  • Motif searches in clusters of coregulated genes.
  • Chromatin Immunoprecipitation CHIP/CHIP
  • DNAse hypersensitivity

27
Drosophila Genetics
antennapediamutant
normal
28
Reporter Gene Constructs
promoter to study
easily seen gene
Drosophila embryo transfected with ftz promoter
hookedup to lacz reporter gene, creating stripes
where ftz promoteris active.
29
Biochemical Footprinting Assays
Gel showing selective protection of DNA from
nuclease digestion where transcription factor is
bound.
Txn factorfootprint
30
Comparative Genomics
Webb Miller
31
Comparative Genomics at BMP10
32
Conservation of Gene Features
  • Conservation pattern across 3165 mappings of
    human RefSeq mRNAs to the genome. A program
    sampled 200 evenly spaced bases across 500 bases
    upstream of transcription, the 5 UTR, the first
    coding exon, introns, middle coding exons,
    introns, the 3 UTR and 500 bases after
    polyadenylatoin. There are peaks of conservation
    at the transition from one region to another.

33
Normalized eScores
34
Conservation Levels of Regulatory Regions in
Human/Mouse Alignments
35
Dnase I Hypersensitivity, CHIP/CHIP,
transcription data on ENR333
36
CHromatin ImmunoPrecipitation
  • Crosslink cells with formaldehyde.
  • Sonicate to shear DNA
  • Add antibody to a protein involved in
    transcription.
  • Precipitate antibody and and everything attached
  • Heat to release DNA.
  • Analyse DNA with PCR or microarrays
  • CHIP on microarray CHIP/CHIP

37
CHIP/CHIP in ENCODE
  • groups Sanger, Yale, Affy, UCSD, Stanford, GIS
    (more?)
  • proteins RNA Pol II, TAF1, histones in various
    states of acylation/methylation
  • cells various cell lines treated various ways.

38
CHIP/CHIP Groups
  • Sanger - sequencing center in UK that does a lot
    of annotation as well.
  • UCSD/Ludwig Institute - where Bing Ren, a pioneer
    of CHIP lives
  • GIS - Genome Institute Singapore - using
    paired-end ditag CHIP.
  • Stanford, YALE, Affy you all know.

39
CHIP/CHIP Targets
  • RNA Polymerase II, converts DNA-gtRNA for protein
    coding genes.
  • Antibody targets form in initiation complex
    (start of gene)
  • TAF1 - A basal transcription factor. Involved in
    recruiting Pol II to initiation site
  • Histones 34 - the balls DNA winds around
  • Antibodies against various acylated and
    methylated forms, most of which are associated
    with chromatin opening

40
Cell Types
  • HELA - cervical epithelial carcinoma
  • HCT116 - colon epithelial carcinoma
  • IMR90 - lung fibroblast
  • THP1 - blood monocyte leukemia
  • GMO6990 - lymphoblastoid
  • HL-60 - promyelocytic leukemia cell line
  • Many others in Stanford promoter track.

41
DNAse hypersensitivity
  • Very old technique being adapted to high
    throughput.
  • DNA cutting enzymes can access open chromatin
    faster than closed chromatin
  • Other things may also influence how susceptible a
    particular piece of DNA is to DNAse cutting.
  • What is hypersensitive in a particular cell line
    is quite reproducible.
  • There are various techniques for seeing where cut
    is sequencing cut ends, PCR around cut site,
    etc.

42
Dnase I Hypersensitivity, CHIP/CHIP,
transcription data on ENR333
43
Dnase I Hypersensitivity, CHIP/CHIP,
transcription data on ENR333
44
Close up of same region
45
The END
46
How is a gene turned on?
  • Pioneering transcription factors bind to DNA
    and tag it for chromatin opening
  • Histones are acylated/methylated which opens
    chromatin.
  • More transcription factors bind newly exposed
    sites in DNA.
  • RNA Polymerase II attracted to txn factors
  • Yet more txn factors phosphorylate tail of Pol
    II, allowing it to start transcription.
Write a Comment
User Comments (0)
About PowerShow.com