How can I handle 5 different time series gene expression pattern for the yeast gene SAM3 to infer gene functions for similarities between microarray time series gene expression patterns?

Question

[Thomas.F.Hahn3]

Hi

I am trying to analyze the series GSE3431. Its title is "Logic of the yeast metabolic cycle". Its URL is https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE3431.

I am trying to infer gene functions from similarities and dissimilarities between the trajectories between the expression trajectories of genes.

To trust my results I must understand why I am getting five different expression patterns for the yeast gene with the common name "SAM3".

I tried in vain to find the nucleotide gene sequences for the 5 different SAM3 expression pattern. Their prob-set IDs are

2597_at,

2598_g_at,

2599_s_at,

2600_s_at,

8021_at

The information in each of the 5 lines is identical, except for the last line, which also lists the systematic name of SAM3. How can I chose the correct expression pattern from these 5 possible options? What's the reason that generated these 5 options?

The platform / chip of this dataset is

GPL90 [YG_S98] Affymetrix Yeast Genome S98 Array

Thanks a lot

Thomas Hahn (Bioinformatics graduate student)