Princeton/lab/bioinformatics

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Contents

Bioinformatics

Biomarkers

Using microarray data provided by Matthew Hibbs of the Function Group at the Lewis-Sigler Institute for Integrative Genomics, Princeton University, it is noted that several factors, including GATA3, NPY1R, and TFF1, are likely overexpressed across 14000 microarray conditions in MCF-7 cells. In particular, GATA3 in MCF-7 is likely overexpressed in 67 of 70 microarrays.

The overexpressed factors may be used in conjunction in the AND circuit to provide greater specificity or the AND OR circuit to provide greater sensitivity.

Figure 1. image: Expression distribution of GATA3 in MCF-7 cells; microarray data from Matthew Hibbs.
Figure 2. image: Expression distribution of TFF1 in MCF-7 cells; microarray data from Matthew Hibbs.
Figure 3. image: Expression distribution of NPY1R in MCF-7 cells; microarray data from Matthew Hibbs.

Design

General

Invitrogen Vector NTI is used as a tool to design our constructs, primers, and restriction maps and to mark annotations. Although GenBank format files are available for export from Invitrogen Vector NTI, the Registry submissions are in the format requested.

siRNA

siRNA Design Software, a meta-design tool, is utilized with mutated input sequences for imperfect binding to GATA3. The mutated input sequences are produced by introducing point mutations (at 1+j*n where j = 21 and n = 0 to the length of GATA3) that have been suggested by literature to most likely be effective.

Sequence verification

For verification of our sequencing results, an implementation of ClustalW within Invitrogen Vector NTI and BLAST are used for sequence comparison while FinchTV is used to examine the chromatography trace data associated with sequencing.