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Transcript
Biological
Sciences
Initiative
HHMI
Using Microarrays to Study Leukemia – teacher instructions/answers
Introduction
This activity is divided up into many pieces. The introduction piece is the background
information on leukemia necessary to do any of the additional activities.
Diagnosis of ALL vs AML using microarrays
An easy activity that high school students of all levels should be able to do
Can be done alone without the other pieces
ALL Subtypes
This activity is harder. However, solving the activity is dependent more on pattern
recognition than on science knowledge
Microarray data to identify the type of cancer cell.
This is an advanced activity.
If you do this activity without doing the activity ALL Subtypes, you will need to give the
students the answers from that activity.
Identification of possible treatments
This is an advanced activity.
If you do this activity without doing the activity ALL Subtypes, you will need to give the
students the answers from that activity.
Diagnosis ALL vs AML using microarrays
The activity
A printable teachers guide and student activity can be found at
http://science-education.nih.gov/newsnapshots/TOC_Chips/Chips_RITN/chips_ritn.html
The name of the package of activities is
“DNA Chips: A Genetics Lab in the Palm of Your Hand”
Note – the exact URL for this activity changes frequently, so the provided address may
be outdated. You can use the title to search for the activity.
The activity package also contains information on how microarrays work.
How microarrays can be used to sequence DNA
And some ethical questions related to idenification by DNA fingerprinting
Answers are found on page 6 of the activity packet.
University of Colorado • 470 UCB • Boulder, CO 80309-0470
(303) 492-8230 • Fax (303) 492-4916 • www.colorado.edu/Outreach/BSI
ALL Subtypes
In this activity, you will explore whether gene expression patterns can be used to identify
different subtypes of ALL. You will begin this portion of the activity by looking at
microarray results from 12 different patients.
Questions
1. Which patients are found in each of your two groups (assume patient 1 is in group 1)?
Group 1- 1, 2, 6, 9, 10, 12
Group 2 – 3, 4, 5, 7, 8, 11
2. Next, in general which genes are
Overexpressed in group 1 and underexpressed in group 2?
APP, CD22, CD24, CD79B, DNTT, Lig4, MME
Underexpressed in group 1 and overexpressed in group 2?
CCNA1, CD44, FLT3, HOXA9, LGALS1, PROML1, SPN
Two subtypes of ALL
The markers expressed on the surface of lymphoid and B-cell precursors are described
and outlined below (Table 1 and Figure 2)
T-cell
ALL cells stop at
the Pre B stage
Lymphoid
Precursor
No CD79B
No CD19
Stem cell
Pro B-cell
CD19
CD24
CD44
CD79B
SPN
Pre B-cell
CD19
↑ CD24
Ø CD44
↑ CD79B
Ø SPN
Mature B-Cell
CD19
↑↑ CD24
ØØ CD44
↑↑ CD79B
ØØ SPN
Myeloid
precursor
Figure 2: Marker expression in various B-cell precursors.
2
Table 1: Markers expressed in ALL vs MLL
Marker
Name
CD19
Cells that normally express
this marker
B-cell specific, indicates a
cell that will become a Bcell
Function (if known)
CD24
B-cells and myeloid cells.
Expression of CD24
increases as B-cells
mature.
WBCs and RBCs. In Bcells, its expression
decreases as B-cells
mature.
Found on the surface of Bcells and expression
increases as B-cells
mature. Presence of this
marker indicates
commitment to the B-cell
lineage.
Its function may be to
help activate T cells.
CD44
CD79B
SPN
B-cell development?
Expression in ALL
and MLL
CD19 is expressed
in equal amounts
on cells from both
ALL and MLL
patients.
Higher in ALL
Receptor for
extracellular matrix
components
Higher in MLL
This marker is an
antibody. It functions as
the antigen receptor for
the B-cells and
determines the
specificity of the antigen
that will be recognized
by the B-cell.
Higher in ALL
Expression of CD43
decreases as B-cells mature
Higher in MLL
Questions
1. See table
2.
Cells from patients with ALL are arrested at the Pre B-Cell stage. Looking at the
gene expression profile data from patients with ALL and MLL, at which stage do
you think cells from MLL are stopped? (Refer to figure 2 as necessary).
MLL cells are stopped earlier than ALL cells at the pro B cell stage.
.
3. Explain your answer by describing the levels of expression of the different markers.
You know MLL are stopped earlier due to the higher expression of CD44 and SPN and
the lower expression of CD24 and CD79B.
3
You know MLL are not in the lymphoid prescursor stage because they express CD19
(upper right hand box of table 1) which is not expressed on lymphoid precursor cells
(figure 1)
Potential Drug Targets for Treatment of MLL
Your next goal will be to use the gene expression profiles you generated to identify
potential drug targets for treatment of MLL. For this it will be useful to know some other
specific drugs used to treat different types of leukemia.
• Chronic myelogenous leukemia (CML) – This type of leukemia is caused by a
mutation that leads to production of a new tyrosine kinase. A chemotherapeutic
agent called Gleevec is a new and exciting treatment for CML. Gleevec is a tyrosine
kinase inhibitor designed specifically to inhibit the tyrosine kinase created by the
CML mutation.
• Acute promyelocytic leukemia (APL) – This type of leukemia has a specific
mutation that results in expression of a retinoic acid receptor. APL is treated with
retinoic acid (in conjunction with other treatments). Retinoic acid acts by causing
the cancerous cells to rapidly divide, differentiate, and then undergo apoptosis.
Answer the following questions about each of the three proteins.
CCNA-1
What are other names for CCNA1?
Cyclin A1
What is the function of CCNA1 (what does it do)?
Regulator of CDK kinases and plays a role in cell cycle control
Expressed in testis and brain and leukemia cell lines
What diseases are associated with mutations in the CCNA1 gene?
Disorders in spermatogenesis
Does CCNA1 have anything in common with other drug targets that have been
successfully used to treat other types of leukemias?
Nothing obvious
Do you think CCNA1 is a good molecular target for treating MLL?
It could potentially be a target, but not high on the list
FLT3
What are other names for FLT3?
4
Fms related tyrosine kinase, FLK2, STK1, CD135
What is the function of FLT3 (what does it do)?
Marker for hematopoetic stem cell differentiation
Tyrosine kinase
What diseases are associated with mutations in the FLT3 gene?
leukemia
Does FLT3 have anything in common with other drug targets that have been successfully
used to treat other types of leukemias?
Yes, Gleevec is a drug that targets a tyrosine kinase found in CML
Do you think FLT3 is a good molecular target for treating MLL?
Yes
PROML1
What are other names for PROML1?
Prominin 1, CD133, AC133
What is the function of PROML1 (what does it do)?
Transmembrane glycoprotein
What diseases are associated with mutations in the PROML1 gene?
Autosomal recessive retinal degeneration
Does PROML1 have anything in common with other drug targets that have been
successfully used to treat other types of leukemias?
No
Do you think your PROML1 is a good molecular target for treating MLL?
Not really
Summary
In this activity you explored how microarray technology can rapidly allow
researchers to identify gene expression profiles of diseases. These gene expression
5
profiles allow researchers to develop diagnostic tests and treatments, as well as
leading to a better understanding of the disease.
In this case, the disease identified was a subtype of ALL that was previously
difficult to identify, and which did not respond to typical treatment for ALL.
Because ALL is rapidly fatal, it is critical to quickly and correctly diagnose ALL so
that patients can receive appropriate treatment and increase their chances of
survival. With the advent of microarray technology researchers can now see all the
genes that are differentially expressed allowing them to design an accurate test for
this previously difficult to identify subtype of ALL.
The gene expression profile also provides a better understanding of the disease
process and most importantly, more targets for development of chemotherapeutic
agents for a previously unresponsive type of leukemia. Researchers have already
tested a FLT3 inhibitor and found it active against MLL cells in a Petri dish. Thus,
this inhibitor holds promise for treatment of MLL.
6
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