Embedding R in Windows applications, and executing R remotely
Embedding R in Windows applications, and executing R remotely
Embedding R in Windows applications, and executing R remotely
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Comparative analysis of the oes t r o g e n- responsive gene expression profile o f breast cancer cells<br />
with three different microarray platforms<br />
M a r g h e r i t a M u t a r e l l i ( 1 ) , ( 2 ) , W a l t e r B a s i l e ( 3 ) , Luigi Cicatiello ( 3 ) , Claudio Scafoglio ( 3 ) , Giovanni Colonna ( 2 ) , A l e s s a n d r o<br />
W e i s z ( 3 ) A n g e l o F a c c h i a n o (1),(2)<br />
1 Istituto di Scienze dell’Alimentazione CNR, via Roma 52A/C, 83100 Avell<strong>in</strong>o<br />
2 Centro di Ricerca Interdipartimentale di Scienze Computazionali e Biotecnologiche, Seconda Università degli Studi di<br />
N a p o l i , v i a d e C r e c c h i o , 8 0 1 3 8 N a p o l i , I t a l y<br />
3<br />
Dipartimento di Patologia Generale, Seconda Università degli Studi di Napoli, via de Crecchio, 80138 Napoli<br />
The DNA microarray i s a technique which makes it possible to analyze the expression patterns of tens<br />
of thous<strong>and</strong>s genes <strong>in</strong> a short time . The widespread use of this technique <strong>and</strong> the rapidl y improv<strong>in</strong>g<br />
different technologies available by commercial <strong>and</strong> academic providers has led to the publication of<br />
thous<strong>and</strong>s of results, extremely heterogeneous <strong>in</strong> terms of technology used <strong>and</strong> analysis subsequently<br />
applied to data. This leads to a difficulty <strong>in</strong> collaborat<strong>in</strong>g <strong>and</strong> exchange data between groups with<br />
common research <strong>in</strong>terest, whereas collaboration s would be extremely useful due to the high cost of<br />
this techniques <strong>and</strong> to the consideration that an experiment carefully designed could br<strong>in</strong>g results<br />
relevant to different groups, each focus<strong>in</strong>g on a different aspect of a ma<strong>in</strong> biological problem. So the<br />
awareness for the need of common st<strong>and</strong>ards or, at least , comparable technologies is emerg<strong>in</strong>g <strong>in</strong> the<br />
scientific community, as shown by the effort of the Microarray Gene Expression Data (MGED)<br />
S o c i e t y, which is try<strong>in</strong>g to set up at least experimental methodology, ontology <strong>and</strong> data format<br />
st<strong>and</strong>ards .<br />
In addition, it is important the ability of be<strong>in</strong>g able to compare newly produced data with preced<strong>in</strong>g<br />
experiments, so to ensure of keep<strong>in</strong>g high t h e value of results produced with equipment of the old<br />
generation.<br />
We thus started this work with the aim of evaluat<strong>in</strong>g the technical variability between three<br />
commonly used microarray platfo rms, such to adapt the first part of the analysis to the peculiarity of<br />
each technique, <strong>and</strong> the feasibility of a common subsequent analysis path, thus tak<strong>in</strong>g advantage of the<br />
different data-extraction abilities of the three. The chips used to study the gene expression profiles of<br />
hormone -responsive breast cancer cells with <strong>and</strong> without stimulation with estradiol are:<br />
i ) the Incyte ‘UniGEM V 2.0’ microarrays, conta<strong>in</strong><strong>in</strong>g over 14,000 PCR- amplified cDNAs,<br />
correspond<strong>in</strong>g to 8286 unique genes, spotted at a high density pattern onto glass slides ;<br />
ii) the Affymetrix technology, based on 25 nucleotide-long oligonucleotides directly<br />
synthesized on a GeneChip® array, represent<strong>in</strong>g more than 39,000 transcripts derived from<br />
approximately 33,000 unique human genes;<br />
iii) the Agilent ‘Human 1A Oligo’ Microarray consist<strong>in</strong>g of 60-mer, i n s i t u synthesized<br />
oligonucleotide probes for a total of about 18000 different genes.<br />
The same samples were used to generate fluorescent targets to be hyb ridized on the different slides ,<br />
w i t h balanced dye swap when applicable for competitive hybridizations.<br />
Ackowledgements<br />
R e s e a r c h s u p p o r t e d b y : I t a l i a n A s s o c i a t i o n f o r C a n c e r R e s e a r c h ( A I R C , I n v e s t i g a t o r G r a n t s 2 0 0 3 ) , I t a l i a n M i n i s t r y f o r<br />
Education, University <strong>and</strong> Research: FIRB Post -genomica (Grant RBNE0157EH_001/_003), European Commission<br />
(Contract BMH4 -C T 9 8 -3433), M<strong>in</strong>istry of Health (Progetti Speciali 2000 <strong>and</strong> RF02/184), Second University of Naples<br />
( R i c e r c a d i A t e n e o 2 0 0 2 -2 0 0 3 ). M . M u t a r e l l i a nd C . S c a f o g l i o a r e P h D s tu d e n t s , supported by EU funds, of Dottorato di<br />
Ricerca <strong>in</strong> “Biologia Computazionale” <strong>and</strong> <strong>in</strong> “Oncologia medica e chirurgica ed Immunologia cl<strong>in</strong>ica”, respectively, at the<br />
S e c o n d U n i v e r s i t y o f N a p l e s .