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FAQs
 
      Q: HOW LONG ARE THE OLIGONUCLEOTIDE PROBES ON A CUSTOMARRAY?
      A: Oligonucleotide probe length depends on application. For gene expression studies we recommend to use 30 to 40-mer probes.           SNP analysis and re-sequencing may require short, 18 to 25-mer probes to maximize mismatch sensitivity. The upper size limit for           CustomArray probes is set at 50-mer.
 
       Q: WHAT SPIKING CONTROLS CAN I USE TO ESTIMATE CUSTOM ARRAY PERFORMANCE?

       A: The factory-built controls from our standard factory layout can be used as spiking probes, providing that they do not            cross-hybridize with your material. The sequences of these probes are shown in Table 1. You can order oligonucleotides that are            reverse-complimentary to the selected control probes, and get them end-labeled (biotin or fluorescent dye, should be the same            labeling as in the planned experiments). Two or three of these oligonucleotides would be sufficient as spiking controls to add to            the hybridization mixture. Phage lambda spiking controls could be prepared and used with the NC probes named ‘NC-SP-phage’            that are included in the standard factory layout. Preparation of lambda spiking controls from commercial phage lambda DNA            includes several steps: PCR amplification of lambda DNA fragments, cloning into a vector containing the T7 RNA-polymerase            promoter, sequencing of the cloned fragments, in vitro transcription, and quality control of the resultant RNA. You can also use            commercially available Stratagene spiking control mRNA samples made from 7 Arabidopsis thaliana genes. Typically two or three            spiking controls should be sufficient. You need to select them and include the corresponding probes from the following list into            your array design files.

           LTR4: acgacatcatttgcctgaagagtatggtttcgtatacg__#AF159801

           LTR6: caacacggtgattgcggatctttacccttgcttat__#AF159803

           PRKase: gatttcccgggtagcaacaacggtactggtctttt__#X58149

           RCA: cgtatcggtgtctgcaagggtatcttcagaactga__#X14212

           XCP2: ggttacatcaggctgaagaggaacactgggaaacc__#AF191028

           TIM: gctgcttgattgagaactatcagtaacggaaatcgct__#AF247559

           RCP1: tgaatgaatgtacacgccataaacgccctttgttca__#AF168390

           Please note that these controls would cross-hybridize if you work with plant material.

 
       Q: WHAT NEGATIVE CONTROLS CAN I USE?

       A: Negative control probes are usually used to calculate background for subtraction. The area surrounding spots and no synthesis            spots cannot be used for background calculation because they give an over-estimation of background. You can use factory-built            probes (both negative, NC, and quality controls, QC) as negative controls, providing that they do not cross-hybridize with your            material. The NC probes labeled "plant," "bacteria," and "phage" are derived from Arabidopsis thaliana, Agrobacterium tumifaciens,            and phage lambda, respectively. If you work with any of these organisms, you may need to provide your own set of negative            controls for probe design.

           Plotting the distribution of NC spot intensities can show how well particular NC probes perform in the context of you array. For            background subtraction, we suggest to use only NC probes with low intensities (lowest 5-30%). If your arrays do not have an            appropriate set of negative controls with low signal intensities, it might be better to omit the background subtraction step from            data analysis.

 
       Q: WHAT METHOD IS USED FOR QUALITY CONTROL OF CUSTOMARRAY CHIPS?
       A: You can provide a list of housekeeping genes for positive control probe design. It should include genes with minimum variation in            the expression levels under the applied experimental conditions. Thus, it is impossible to provide general recommendations            applicable to all systems. However, a list of potential candidates for human arrays can be obtained here.

           You need to select a relatively large set of housekeeping genes to make the housekeeping gene approach less sensitive to outlier            data, because even such 'constantly' expressed genes as actin still tend to have some variation in expression levels. In addition,            you need to keep this set constant for all arrays that you plan to compare to each other. We recommend using at least 50            different genes with sufficient numbers of replicates (at least three per gene). Ideally, your set of housekeeping genes should            contain both high and low expressed ones to cover the full range of signal intensities (except for the extremely high, close to            saturation, and extremely low, close to background levels).
 
       Q: CAN I USE RIBOSOMAL RNA SEQUENCES AS POSITIVE CONTROLS?

       A: We do not recommend it for gene expression studies in eukaryotic organisms, because the standard mRNA amplification methods            (based on oligo(dT) primers) should dramatically reduce the proportion of rRNA in the sample. This reduction may be non-uniform            for different samples, different amplification reactions, and different inputs of total RNA. Variable results of this selection against            rRNA make it a poor control for array data normalization.

 
       Q: WHAT IS THE SHELF LIFE OF A CUSTOMARRAY?
       A: Four months.
 
       Q: HOW SHOULD I STORE CUSTOMARRAY CHIPS?
       A: In a dark, dust free, dry environment at room temperature, or in a dessicator.
 
       Q: CAN I STORE HYBRIDIZED ARRAYS?
       A: We do not recommend storage of hybridized arrays because it may cause a decrease in signal and data quality. However, the            hybridized arrays may be stored for a short period of time (maximum a couple of days), providing that they are kept wet,            preferably with the hybridization chambers filled with 2x PBS (or the imaging solution), well protected from light (wrapped in foil),            and at low temperature (4-8°C in refrigerator).
 
       Q: What is a SNP?
       A: SNP is usually the abbreviation for single nucleotide polymorphism. Of the 3 billion base pairs that the human genome contains,            two people picked at random will differ once about every 1000th base.
 
 
 
 
 
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