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The demonstrator will give you a brief description of the concepts behind
microarray experiments and how they allow for multiple parallel
'northern-like' experiments.
This will include the concept that there is now 'too much data to handle without
bioinformatics'. There is a summary presentation of Microarray use
here
Experiment
A friend/collaborator has found evidence for an interesting putative function for
the papaya homologue for an Arabidopsis gene in influencing crop yields and fruit size (note: this is fictional).
You have decided to use the public databases to get an idea of what this gene
may be doing and where it is expressed in Arabidopsis so that you can write a joint grant proposal with them.
All you have a is a bit of sequence from an Arabidopsis clone library picked out from a small molecular pilot project
You have decided to use Affymetrix microarray and gene annotation data to look into this.
First go to AtEnsembl (The Arabidopsis Ensembl Resource)
Paste the following sequence into the search box and press the RUN> button.
TCTAGCTCCAACAAGCTTCATGAGTATATCAGCCCTAACACCACAACGAAGGAGATCGTA
GATCTGTACCAAACTATTTCTGATGTCGATGTTTGGGCCACTCAATATGAGCGAATGCAA
GAAACCAAGAGGAAACTGTTGGAGACAAATAGAAATCTCCGGACTCAGATCAAGCAGAGG
CTAGGTGAGTGTTTGGACGAGCTTGACATTCAGGAGCTGCGTCGTCTTGAGGATGAAATG
This will give you the conserved sequences in the arabidopsis genome (Blast works on genomes a little like Google works on the web).
Mouse-over the best match and select the "Show in Contig View" link - this shows you the gene in the context of the genome.
Look for the "Affy ATH1" lane (dark green), mouse-over and choose "Spot history".
What is shown on the x-axis ?
What is shown on the y-axis ?
Click on the small number of experiments in which the gene has gone up.
Explore the graph that you obtain and choose experiments of interest to explore further by reading the instructions.
Find 4 experiments that appear to influence the expression of this gene
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