SlideShare a Scribd company logo
1 of 33
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Lesson OverviewLesson Overview
14.3 Studying the14.3 Studying the
Human GenomeHuman Genome
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
THINK ABOUT IT
Just a few decades ago, computers were gigantic machines found
only in laboratories and universities. Today, many of us carry small,
powerful computers to school and work every day.
Decades ago, the human genome was unknown. Today, we can see
our entire genome on the Internet.
How long will it be before having a copy of your own genome is as
ordinary as carrying a cellphone in your pocket?
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Manipulating DNA
What techniques are used to study human DNA?
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Manipulating DNA
What techniques are used to study human DNA?
By using tools that cut, separate, and then replicate DNA base by base,
scientists can now read the base sequences in DNA from any cell.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Manipulating DNA
DNA is a huge molecule—even the smallest human chromosome contains
nearly 50 million base pairs. Manipulating such large molecules is
extremely difficult.
In the 1970s, scientists found they could use natural enzymes in DNA
analysis.
Scientists can now read the base sequences in DNA by using these
enzymes to cut, separate, and replicate DNA base by base.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Cutting DNA
Nucleic acids are chemically different from other macromolecules such
as proteins and carbohydrates. This difference makes DNA relatively
easy to extract from cells and tissues.
DNA molecules from most organisms are much too large to be
analyzed, so they must first be cut into smaller pieces.
Many bacteria produce restriction enzymes that cut DNA molecules
into precise pieces, called restriction fragments that are several hundred
bases in length.
Of the hundreds of known restriction enzymes, each cuts DNA at a
different sequence of nucleotides.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Cutting DNA
For example, the EcoRI restriction enzyme recognizes the base
sequence GAATTC.
It cuts each strand between the G and A bases, leaving single-stranded
overhangs, called “sticky ends,” with the sequence AATT.
The sticky ends can bond, or “stick,” to a DNA fragment with the
complementary base sequence.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Separating DNA
Once DNA has been cut by restriction enzymes, scientists can use a
technique known as gel electrophoresis to separate and analyze the
differently sized fragments.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Separating DNA
A mixture of DNA fragments is placed at one end of a porous gel.
When an electric voltage is applied to the gel, DNA molecules—which
are negatively charged—move toward the positive end of the gel.
The smaller the DNA fragment, the faster and farther it moves.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Separating DNA
The result is a pattern of bands based on fragment size.
Specific stains that bind to DNA make these bands visible.
Researchers can remove individual restriction fragments from the gel
and study them further.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Reading DNA
After the DNA fragments have been separated, researchers can read,
or sequence, it.
Single-stranded DNA is placed in a test tube containing DNA
polymerase—the enzyme that copies DNA—along with the four
nucleotide bases, A, T, G, and C.
The DNA polymerase uses the unknown strand as a template to make
one new DNA strand after another.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Reading DNA
Researchers also add a small number of bases that have a chemical
dye attached. Each time a dye-labeled base is added to a new DNA
strand, the synthesis of that strand stops.
When DNA synthesis is completed, the result is a series of color-coded
DNA fragments of different lengths.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Reading DNA
Researchers then separate these fragments, often by gel
electrophoresis.
The order of colored bands on the gel tells the exact sequence of bases
in the DNA.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Reading DNA
The entire process can be automated and controlled by computers, so
that DNA sequencing machines can read thousands of bases in a
matter of seconds.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
The Human Genome Project
What were the goals of the Human Genome Project, and what have we
learned so far?
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
The Human Genome Project
What were the goals of the Human Genome Project, and what have we
learned so far?
The Human Genome Project was a 13-year, international effort with the
main goals of sequencing all 3 billion base pairs of human DNA and
identifying all human genes.
The Human Genome Project pinpointed genes and associated particular
sequences in those genes with numerous diseases and disorders. It also
identified about 3 million locations where single-base DNA differences
occur in humans.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
The Human Genome Project
In 1990, the United States, along with several other countries, launched the
Human Genome Project.
The main goals of the project were to sequence all 3 billion base pairs of
human DNA and identify all human genes.
Other important goals included sequencing the genomes of model
organisms to interpret human DNA, developing technology to support the
research, exploring gene functions, studying human variation, and training
future scientists.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
The Human Genome Project
How can the huge amount of DNA in the human genome be sequenced
quickly?
Researchers first break up the entire genome into manageable pieces.
The base sequences in widely separated regions of a DNA strand are
determined. These regions can then be used as markers.
The markers make it possible for researchers to locate and return to
specific locations in the DNA.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Sequencing and Identifying Genes
Once researchers have marked the
DNA strands, they can use
“shotgun sequencing,” a rapid
sequencing method that involves
cutting DNA into random fragments,
then determining the base
sequence in each fragment.
Computer programs take the
sequencing data, find areas of
overlap between fragments, and put
the fragments together by linking
the overlapping areas.
The computers then align these
fragments relative to the known
markers on each chromosome.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Sequencing and Identifying Genes
Much of today’s research explores
the data from the Human Genome
Project to look for genes and the
DNA sequences that control them.
By locating sequences known to be
promoters—binding sites for RNA
polymerase—scientists can identify
many genes.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Sequencing and Identifying Genes
Shortly after a promoter, there is
usually an area called an open
reading frame, which is a sequence
of DNA bases that will produce an
mRNA sequence.
Other sites that help to identify
genes are the sequences that
separate introns from exons, and
stop codons located at the ends of
open reading frames.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Comparing Sequences
If you were to compare the genomes of two unrelated individuals, you
would find that most—but not all—of their DNA matches base-for-base
with each other.
On average, one base in 1200 will not match between two individuals.
Biologists call these single base differences SNPs, which stands for
single nucleotide polymorphisms.
Researchers have discovered that certain sets of closely linked SNPs
occur together time and time again. These collections of linked SNPs
are called haplotypes—short for haploid genotypes.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Comparing Sequences
To locate and identify as many haplotypes in the human population as
possible, the International HapMap Project began in 2002.
The aim of the project is to give scientists a rapid way to identify
haplotypes associated with various diseases and conditions and to pave
the way to more effective life-saving medical care in the future.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Sharing Data
Copies of the human genome DNA sequence, and those of other
organisms, are now freely available on the Internet.
Researchers and students can browse through databases of human
DNA and study its sequence.
More data is added to these databases every day.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Sharing Data
One of the key research areas of the Human Genome Project was a
new field of study called bioinformatics.
Bioinformatics combines molecular biology with information science. It
is critical to studying and understanding the human genome.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
Sharing Data
Bioinformatics also launched a more specialized field of study known as
genomics—the study of whole genomes, including genes and their
functions.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
What We Have Learned
In June 2000 scientists
announced that a working copy of
the human genome was
complete.
The first details appeared in the
February 2001 issues of the
journals Nature and Science.
The full reference sequence was
completed in April 2003, marking
the end of the Human Genome
Project—two years ahead of the
original schedule.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
What We Have Learned
The Human Genome Project found that the human genome in its
haploid form contains 3 billion nucleotide bases.
Only about 2 percent of our genome encodes instructions for the
synthesis of proteins, and many chromosomes contain large areas with
very few genes.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
What We Have Learned
As much as half of our genome is made up of DNA sequences from
viruses and other genetic elements within human chromosomes.
This chart compares the human genome with other organisms.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
What We Have Learned
More than 40% of our proteins are similar to proteins in organisms such
as fruit flies, worms, and yeast.
This chart compares the human genome with other organisms.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
What We Have Learned
The Human Genome Project pinpointed genes and associated particular
sequences in those genes with numerous diseases and disorders.
It also identified about three million locations where single-base DNA
differences occur in humans, which may help us find DNA sequences
associated with diabetes, cancer, and other health problems.
The Human Genome Project also transferred important new
technologies to the private sector, including agriculture and medicine.
The project catalyzed the U.S. biotechnology industry and fostered the
development of new medical applications.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
New Questions
The Human Genome Project worked to identify and address ethical,
legal, and social issues surrounding the availability of human genome
data and its powerful new technologies.
For example, who owns and controls genetic information? Is genetic
privacy different from medical privacy? Who should have access to
personal genetic information, and how will it be used?
In May 2008, President George W. Bush signed into law the Genetic
Information Nondiscrimination Act, which prohibits U.S. insurance
companies and employers from discriminating on the basis of
information derived from genetic tests. Other protective laws may soon
follow.
Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome
What’s Next?
The 1000 Genomes Project, launched in 2008, will study the genomes
of 1000 people in an effort to produce a detailed catalogue of human
variation.
Data from the project will be used in future studies of development and
disease, and may lead to successful research on new drugs and
therapies to save human lives and preserve health.
In addition, many more sequencing projects are under way and an ever-
growing database of information from microbial, animal, and plant
genomes is expected.
Perhaps the most important challenge that lies ahead is to understand
how all the “parts” of cells—genes, proteins, and many other molecules
—work together to create complex living organisms.

More Related Content

What's hot

Goodwin2016 ngs 10 years
Goodwin2016 ngs 10 yearsGoodwin2016 ngs 10 years
Goodwin2016 ngs 10 yearsPrakash Koringa
 
Whole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysisWhole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysisdrelamuruganvet
 
encode project
encode project encode project
encode project Priti Pal
 
Dna profiling presentation x2
Dna profiling presentation x2Dna profiling presentation x2
Dna profiling presentation x2teamchaotex
 
CSU Next Generation Sequencing Core 06/09/2015
CSU Next Generation Sequencing Core 06/09/2015CSU Next Generation Sequencing Core 06/09/2015
CSU Next Generation Sequencing Core 06/09/2015Richard Casey
 
Human genetic variation and its contribution to complex traits
Human genetic variation and its contribution to complex traitsHuman genetic variation and its contribution to complex traits
Human genetic variation and its contribution to complex traitsgroovescience
 
Variant (SNP) calling - an introduction (with a worked example, using FreeBay...
Variant (SNP) calling - an introduction (with a worked example, using FreeBay...Variant (SNP) calling - an introduction (with a worked example, using FreeBay...
Variant (SNP) calling - an introduction (with a worked example, using FreeBay...Manikhandan Mudaliar
 
Interpretation of dna typing results and codis
Interpretation of dna typing results and codis Interpretation of dna typing results and codis
Interpretation of dna typing results and codis Neha Agarwal
 
Genome Sequencing Project
Genome Sequencing ProjectGenome Sequencing Project
Genome Sequencing Projectguestd53a1
 
The human genome project was started in 1990 with the goal of sequencing and ...
The human genome project was started in 1990 with the goal of sequencing and ...The human genome project was started in 1990 with the goal of sequencing and ...
The human genome project was started in 1990 with the goal of sequencing and ...Rania Malik
 

What's hot (20)

rheumatoid arthritis
rheumatoid arthritisrheumatoid arthritis
rheumatoid arthritis
 
Goodwin2016 ngs 10 years
Goodwin2016 ngs 10 yearsGoodwin2016 ngs 10 years
Goodwin2016 ngs 10 years
 
Whole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysisWhole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysis
 
encode project
encode project encode project
encode project
 
DNA Profiling
DNA ProfilingDNA Profiling
DNA Profiling
 
Dna profiling presentation x2
Dna profiling presentation x2Dna profiling presentation x2
Dna profiling presentation x2
 
Dn abarcode
Dn abarcodeDn abarcode
Dn abarcode
 
CSU Next Generation Sequencing Core 06/09/2015
CSU Next Generation Sequencing Core 06/09/2015CSU Next Generation Sequencing Core 06/09/2015
CSU Next Generation Sequencing Core 06/09/2015
 
Dna forensic
Dna forensicDna forensic
Dna forensic
 
Basics of Genome Assembly
Basics of Genome Assembly Basics of Genome Assembly
Basics of Genome Assembly
 
Crypt Sequence DNA
Crypt Sequence DNACrypt Sequence DNA
Crypt Sequence DNA
 
DNA structure
DNA structureDNA structure
DNA structure
 
Human genetic variation and its contribution to complex traits
Human genetic variation and its contribution to complex traitsHuman genetic variation and its contribution to complex traits
Human genetic variation and its contribution to complex traits
 
Soal SNMPTN Bahasa Inggris
Soal SNMPTN Bahasa InggrisSoal SNMPTN Bahasa Inggris
Soal SNMPTN Bahasa Inggris
 
Variant (SNP) calling - an introduction (with a worked example, using FreeBay...
Variant (SNP) calling - an introduction (with a worked example, using FreeBay...Variant (SNP) calling - an introduction (with a worked example, using FreeBay...
Variant (SNP) calling - an introduction (with a worked example, using FreeBay...
 
Interpretation of dna typing results and codis
Interpretation of dna typing results and codis Interpretation of dna typing results and codis
Interpretation of dna typing results and codis
 
Mitochondrial DNA
Mitochondrial DNAMitochondrial DNA
Mitochondrial DNA
 
Genome Sequencing Project
Genome Sequencing ProjectGenome Sequencing Project
Genome Sequencing Project
 
Nanopore Sequencing
Nanopore SequencingNanopore Sequencing
Nanopore Sequencing
 
The human genome project was started in 1990 with the goal of sequencing and ...
The human genome project was started in 1990 with the goal of sequencing and ...The human genome project was started in 1990 with the goal of sequencing and ...
The human genome project was started in 1990 with the goal of sequencing and ...
 

Viewers also liked

CVA A&P - Chapter 5d: Joints
CVA A&P - Chapter 5d: JointsCVA A&P - Chapter 5d: Joints
CVA A&P - Chapter 5d: JointsClayVirtual
 
CVA A&P - Chapter 11: Cardiovascular Honors
CVA A&P - Chapter 11: Cardiovascular HonorsCVA A&P - Chapter 11: Cardiovascular Honors
CVA A&P - Chapter 11: Cardiovascular HonorsClayVirtual
 
CVA Biology I - B10vrv3074
CVA Biology I - B10vrv3074CVA Biology I - B10vrv3074
CVA Biology I - B10vrv3074ClayVirtual
 
CVA Biology I - B10vrv3101
CVA Biology I - B10vrv3101CVA Biology I - B10vrv3101
CVA Biology I - B10vrv3101ClayVirtual
 
CVA A&P - Chapter 5c: Standard Appendicular Skeleton
CVA A&P - Chapter 5c: Standard Appendicular SkeletonCVA A&P - Chapter 5c: Standard Appendicular Skeleton
CVA A&P - Chapter 5c: Standard Appendicular SkeletonClayVirtual
 
CVA Biology I - B10vrv3091
CVA Biology I - B10vrv3091CVA Biology I - B10vrv3091
CVA Biology I - B10vrv3091ClayVirtual
 
CVA Biology I - B10vrv1012
CVA Biology I - B10vrv1012CVA Biology I - B10vrv1012
CVA Biology I - B10vrv1012ClayVirtual
 
CVA A&P - Chapter 1a Intro and Homeostasis
CVA A&P - Chapter 1a Intro and HomeostasisCVA A&P - Chapter 1a Intro and Homeostasis
CVA A&P - Chapter 1a Intro and HomeostasisClayVirtual
 
CVA Biology I - B10vrv1024
CVA Biology I - B10vrv1024CVA Biology I - B10vrv1024
CVA Biology I - B10vrv1024ClayVirtual
 
CVA Biology I - B10vrv4132
CVA Biology I - B10vrv4132CVA Biology I - B10vrv4132
CVA Biology I - B10vrv4132ClayVirtual
 
CVA Biology I - B10vrv4123
CVA Biology I - B10vrv4123CVA Biology I - B10vrv4123
CVA Biology I - B10vrv4123ClayVirtual
 
CVA Biology I - Lab Equipment
CVA Biology I - Lab EquipmentCVA Biology I - Lab Equipment
CVA Biology I - Lab EquipmentClayVirtual
 
CVA Biology I - B10vrv3103
CVA Biology I - B10vrv3103CVA Biology I - B10vrv3103
CVA Biology I - B10vrv3103ClayVirtual
 
Work energy and potential energy
Work energy and potential energyWork energy and potential energy
Work energy and potential energyAnurag Tomer
 
The Fence by Jose Garcia Villa
The Fence by Jose Garcia VillaThe Fence by Jose Garcia Villa
The Fence by Jose Garcia VillaCheene Mae Bocalid
 

Viewers also liked (18)

CVA A&P - Chapter 5d: Joints
CVA A&P - Chapter 5d: JointsCVA A&P - Chapter 5d: Joints
CVA A&P - Chapter 5d: Joints
 
Ppt sim (bab iii)
Ppt sim (bab iii)Ppt sim (bab iii)
Ppt sim (bab iii)
 
CVA A&P - Chapter 11: Cardiovascular Honors
CVA A&P - Chapter 11: Cardiovascular HonorsCVA A&P - Chapter 11: Cardiovascular Honors
CVA A&P - Chapter 11: Cardiovascular Honors
 
CVA Biology I - B10vrv3074
CVA Biology I - B10vrv3074CVA Biology I - B10vrv3074
CVA Biology I - B10vrv3074
 
CVA Biology I - B10vrv3101
CVA Biology I - B10vrv3101CVA Biology I - B10vrv3101
CVA Biology I - B10vrv3101
 
CVA A&P - Chapter 5c: Standard Appendicular Skeleton
CVA A&P - Chapter 5c: Standard Appendicular SkeletonCVA A&P - Chapter 5c: Standard Appendicular Skeleton
CVA A&P - Chapter 5c: Standard Appendicular Skeleton
 
CVA Biology I - B10vrv3091
CVA Biology I - B10vrv3091CVA Biology I - B10vrv3091
CVA Biology I - B10vrv3091
 
CVA Biology I - B10vrv1012
CVA Biology I - B10vrv1012CVA Biology I - B10vrv1012
CVA Biology I - B10vrv1012
 
Careers
CareersCareers
Careers
 
CVA A&P - Chapter 1a Intro and Homeostasis
CVA A&P - Chapter 1a Intro and HomeostasisCVA A&P - Chapter 1a Intro and Homeostasis
CVA A&P - Chapter 1a Intro and Homeostasis
 
CVA Biology I - B10vrv1024
CVA Biology I - B10vrv1024CVA Biology I - B10vrv1024
CVA Biology I - B10vrv1024
 
B10vrv4131
B10vrv4131B10vrv4131
B10vrv4131
 
CVA Biology I - B10vrv4132
CVA Biology I - B10vrv4132CVA Biology I - B10vrv4132
CVA Biology I - B10vrv4132
 
CVA Biology I - B10vrv4123
CVA Biology I - B10vrv4123CVA Biology I - B10vrv4123
CVA Biology I - B10vrv4123
 
CVA Biology I - Lab Equipment
CVA Biology I - Lab EquipmentCVA Biology I - Lab Equipment
CVA Biology I - Lab Equipment
 
CVA Biology I - B10vrv3103
CVA Biology I - B10vrv3103CVA Biology I - B10vrv3103
CVA Biology I - B10vrv3103
 
Work energy and potential energy
Work energy and potential energyWork energy and potential energy
Work energy and potential energy
 
The Fence by Jose Garcia Villa
The Fence by Jose Garcia VillaThe Fence by Jose Garcia Villa
The Fence by Jose Garcia Villa
 

Similar to CVA Biology I - B10vrv4143

Similar to CVA Biology I - B10vrv4143 (20)

Lesson 14.3
Lesson 14.3Lesson 14.3
Lesson 14.3
 
Sk microfluidics and lab on-a-chip-ch3
Sk microfluidics and lab on-a-chip-ch3Sk microfluidics and lab on-a-chip-ch3
Sk microfluidics and lab on-a-chip-ch3
 
Describe in your own words the benefits, but also the problems of ha.pdf
Describe in your own words the benefits, but also the problems of ha.pdfDescribe in your own words the benefits, but also the problems of ha.pdf
Describe in your own words the benefits, but also the problems of ha.pdf
 
Genomics
GenomicsGenomics
Genomics
 
Dna chip
Dna chipDna chip
Dna chip
 
Human genome project
Human genome projectHuman genome project
Human genome project
 
Epigenetic Analysis Sequencing
Epigenetic Analysis SequencingEpigenetic Analysis Sequencing
Epigenetic Analysis Sequencing
 
New generation Sequencing
New generation Sequencing New generation Sequencing
New generation Sequencing
 
CRISPR Array
CRISPR ArrayCRISPR Array
CRISPR Array
 
Role of dna fingerprinting in crimes
Role of dna fingerprinting in crimesRole of dna fingerprinting in crimes
Role of dna fingerprinting in crimes
 
-DNA Sequencing Notes.pdf
-DNA Sequencing Notes.pdf-DNA Sequencing Notes.pdf
-DNA Sequencing Notes.pdf
 
-DNA Sequencing Notes.pdf
-DNA Sequencing Notes.pdf-DNA Sequencing Notes.pdf
-DNA Sequencing Notes.pdf
 
Group 5 DNA Tech - Ecology & Envt
Group 5 DNA Tech - Ecology & EnvtGroup 5 DNA Tech - Ecology & Envt
Group 5 DNA Tech - Ecology & Envt
 
Junk DNA And The Human Genome
Junk DNA And The Human GenomeJunk DNA And The Human Genome
Junk DNA And The Human Genome
 
Encode Project
Encode ProjectEncode Project
Encode Project
 
Chapter 20 ppt
Chapter 20 pptChapter 20 ppt
Chapter 20 ppt
 
DNA MUGSHOTS AGAINST CRIME
DNA MUGSHOTS AGAINST CRIMEDNA MUGSHOTS AGAINST CRIME
DNA MUGSHOTS AGAINST CRIME
 
Human genome project by kk sahu
Human genome project by kk sahuHuman genome project by kk sahu
Human genome project by kk sahu
 
Dna profiling presentation x2
Dna profiling presentation x2Dna profiling presentation x2
Dna profiling presentation x2
 
Human Genome Project
Human Genome ProjectHuman Genome Project
Human Genome Project
 

Recently uploaded

Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 

Recently uploaded (20)

Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 

CVA Biology I - B10vrv4143

  • 1. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Lesson OverviewLesson Overview 14.3 Studying the14.3 Studying the Human GenomeHuman Genome
  • 2. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome THINK ABOUT IT Just a few decades ago, computers were gigantic machines found only in laboratories and universities. Today, many of us carry small, powerful computers to school and work every day. Decades ago, the human genome was unknown. Today, we can see our entire genome on the Internet. How long will it be before having a copy of your own genome is as ordinary as carrying a cellphone in your pocket?
  • 3. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Manipulating DNA What techniques are used to study human DNA?
  • 4. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Manipulating DNA What techniques are used to study human DNA? By using tools that cut, separate, and then replicate DNA base by base, scientists can now read the base sequences in DNA from any cell.
  • 5. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Manipulating DNA DNA is a huge molecule—even the smallest human chromosome contains nearly 50 million base pairs. Manipulating such large molecules is extremely difficult. In the 1970s, scientists found they could use natural enzymes in DNA analysis. Scientists can now read the base sequences in DNA by using these enzymes to cut, separate, and replicate DNA base by base.
  • 6. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Cutting DNA Nucleic acids are chemically different from other macromolecules such as proteins and carbohydrates. This difference makes DNA relatively easy to extract from cells and tissues. DNA molecules from most organisms are much too large to be analyzed, so they must first be cut into smaller pieces. Many bacteria produce restriction enzymes that cut DNA molecules into precise pieces, called restriction fragments that are several hundred bases in length. Of the hundreds of known restriction enzymes, each cuts DNA at a different sequence of nucleotides.
  • 7. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Cutting DNA For example, the EcoRI restriction enzyme recognizes the base sequence GAATTC. It cuts each strand between the G and A bases, leaving single-stranded overhangs, called “sticky ends,” with the sequence AATT. The sticky ends can bond, or “stick,” to a DNA fragment with the complementary base sequence.
  • 8. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Separating DNA Once DNA has been cut by restriction enzymes, scientists can use a technique known as gel electrophoresis to separate and analyze the differently sized fragments.
  • 9. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Separating DNA A mixture of DNA fragments is placed at one end of a porous gel. When an electric voltage is applied to the gel, DNA molecules—which are negatively charged—move toward the positive end of the gel. The smaller the DNA fragment, the faster and farther it moves.
  • 10. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Separating DNA The result is a pattern of bands based on fragment size. Specific stains that bind to DNA make these bands visible. Researchers can remove individual restriction fragments from the gel and study them further.
  • 11. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Reading DNA After the DNA fragments have been separated, researchers can read, or sequence, it. Single-stranded DNA is placed in a test tube containing DNA polymerase—the enzyme that copies DNA—along with the four nucleotide bases, A, T, G, and C. The DNA polymerase uses the unknown strand as a template to make one new DNA strand after another.
  • 12. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Reading DNA Researchers also add a small number of bases that have a chemical dye attached. Each time a dye-labeled base is added to a new DNA strand, the synthesis of that strand stops. When DNA synthesis is completed, the result is a series of color-coded DNA fragments of different lengths.
  • 13. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Reading DNA Researchers then separate these fragments, often by gel electrophoresis. The order of colored bands on the gel tells the exact sequence of bases in the DNA.
  • 14. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Reading DNA The entire process can be automated and controlled by computers, so that DNA sequencing machines can read thousands of bases in a matter of seconds.
  • 15. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome The Human Genome Project What were the goals of the Human Genome Project, and what have we learned so far?
  • 16. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome The Human Genome Project What were the goals of the Human Genome Project, and what have we learned so far? The Human Genome Project was a 13-year, international effort with the main goals of sequencing all 3 billion base pairs of human DNA and identifying all human genes. The Human Genome Project pinpointed genes and associated particular sequences in those genes with numerous diseases and disorders. It also identified about 3 million locations where single-base DNA differences occur in humans.
  • 17. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome The Human Genome Project In 1990, the United States, along with several other countries, launched the Human Genome Project. The main goals of the project were to sequence all 3 billion base pairs of human DNA and identify all human genes. Other important goals included sequencing the genomes of model organisms to interpret human DNA, developing technology to support the research, exploring gene functions, studying human variation, and training future scientists.
  • 18. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome The Human Genome Project How can the huge amount of DNA in the human genome be sequenced quickly? Researchers first break up the entire genome into manageable pieces. The base sequences in widely separated regions of a DNA strand are determined. These regions can then be used as markers. The markers make it possible for researchers to locate and return to specific locations in the DNA.
  • 19. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Sequencing and Identifying Genes Once researchers have marked the DNA strands, they can use “shotgun sequencing,” a rapid sequencing method that involves cutting DNA into random fragments, then determining the base sequence in each fragment. Computer programs take the sequencing data, find areas of overlap between fragments, and put the fragments together by linking the overlapping areas. The computers then align these fragments relative to the known markers on each chromosome.
  • 20. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Sequencing and Identifying Genes Much of today’s research explores the data from the Human Genome Project to look for genes and the DNA sequences that control them. By locating sequences known to be promoters—binding sites for RNA polymerase—scientists can identify many genes.
  • 21. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Sequencing and Identifying Genes Shortly after a promoter, there is usually an area called an open reading frame, which is a sequence of DNA bases that will produce an mRNA sequence. Other sites that help to identify genes are the sequences that separate introns from exons, and stop codons located at the ends of open reading frames.
  • 22. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Comparing Sequences If you were to compare the genomes of two unrelated individuals, you would find that most—but not all—of their DNA matches base-for-base with each other. On average, one base in 1200 will not match between two individuals. Biologists call these single base differences SNPs, which stands for single nucleotide polymorphisms. Researchers have discovered that certain sets of closely linked SNPs occur together time and time again. These collections of linked SNPs are called haplotypes—short for haploid genotypes.
  • 23. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Comparing Sequences To locate and identify as many haplotypes in the human population as possible, the International HapMap Project began in 2002. The aim of the project is to give scientists a rapid way to identify haplotypes associated with various diseases and conditions and to pave the way to more effective life-saving medical care in the future.
  • 24. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Sharing Data Copies of the human genome DNA sequence, and those of other organisms, are now freely available on the Internet. Researchers and students can browse through databases of human DNA and study its sequence. More data is added to these databases every day.
  • 25. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Sharing Data One of the key research areas of the Human Genome Project was a new field of study called bioinformatics. Bioinformatics combines molecular biology with information science. It is critical to studying and understanding the human genome.
  • 26. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome Sharing Data Bioinformatics also launched a more specialized field of study known as genomics—the study of whole genomes, including genes and their functions.
  • 27. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome What We Have Learned In June 2000 scientists announced that a working copy of the human genome was complete. The first details appeared in the February 2001 issues of the journals Nature and Science. The full reference sequence was completed in April 2003, marking the end of the Human Genome Project—two years ahead of the original schedule.
  • 28. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome What We Have Learned The Human Genome Project found that the human genome in its haploid form contains 3 billion nucleotide bases. Only about 2 percent of our genome encodes instructions for the synthesis of proteins, and many chromosomes contain large areas with very few genes.
  • 29. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome What We Have Learned As much as half of our genome is made up of DNA sequences from viruses and other genetic elements within human chromosomes. This chart compares the human genome with other organisms.
  • 30. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome What We Have Learned More than 40% of our proteins are similar to proteins in organisms such as fruit flies, worms, and yeast. This chart compares the human genome with other organisms.
  • 31. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome What We Have Learned The Human Genome Project pinpointed genes and associated particular sequences in those genes with numerous diseases and disorders. It also identified about three million locations where single-base DNA differences occur in humans, which may help us find DNA sequences associated with diabetes, cancer, and other health problems. The Human Genome Project also transferred important new technologies to the private sector, including agriculture and medicine. The project catalyzed the U.S. biotechnology industry and fostered the development of new medical applications.
  • 32. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome New Questions The Human Genome Project worked to identify and address ethical, legal, and social issues surrounding the availability of human genome data and its powerful new technologies. For example, who owns and controls genetic information? Is genetic privacy different from medical privacy? Who should have access to personal genetic information, and how will it be used? In May 2008, President George W. Bush signed into law the Genetic Information Nondiscrimination Act, which prohibits U.S. insurance companies and employers from discriminating on the basis of information derived from genetic tests. Other protective laws may soon follow.
  • 33. Lesson OverviewLesson Overview Studying the Human GenomeStudying the Human Genome What’s Next? The 1000 Genomes Project, launched in 2008, will study the genomes of 1000 people in an effort to produce a detailed catalogue of human variation. Data from the project will be used in future studies of development and disease, and may lead to successful research on new drugs and therapies to save human lives and preserve health. In addition, many more sequencing projects are under way and an ever- growing database of information from microbial, animal, and plant genomes is expected. Perhaps the most important challenge that lies ahead is to understand how all the “parts” of cells—genes, proteins, and many other molecules —work together to create complex living organisms.