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Agilent workbench software

Manufactured by Agilent Technologies

Agilent Workbench Software is a platform that enables the integration and control of various Agilent analytical instruments. It provides a unified interface for configuring, monitoring, and acquiring data from multiple instruments simultaneously.

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2 protocols using agilent workbench software

1

Array CGH Analysis of Patient Lymphocytes

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After obtaining blood from the patient and his parents, lymphocytes were extracted, and lymphoblasts were established by Epstein–Barr virus. Array CGH analysis was performed using the Agilent Human genome CGH 180K (Agilent Technologies, Santa Clara, CA, USA). In brief, DNA was isolated from the lymphocytes, using the DNeasy Blood and Tissue kit (Qiagen, Hilden, Germany), according to the manufacturer's instructions. Genomic DNA (1 μg) from the patient and reference DNA samples from unaffected volunteers (Coriell Institute for Medical Research, Camden, New Jersey, USA) were labeled with fluorescent dyes (Cy5-dUTP and Cy3), hybridized at 65 °C for 24 hours, and then subjected to the array. The hybridized array was scanned with an Agilent DNA Microarray Scanner (Agilent Technologies). The resulting images were analyzed by quantifying the Cy3 and Cy5 fluorescence intensity at each feature on the array, using the Agilent Feature Extraction Software (Agilent Technologies). Finally, the data were calculated using the Agilent Workbench Software (Agilent Technologies).
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2

Array-Based Comparative Genomic Hybridization

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Array-based comparative genomic hybridization (aCGH) was performed on 84 cases, using formalin‐fixed paraffin‐embedded tissue. The modality has been previously described by Ramkissoon et al. In brief, after DNA extraction, patient and reference DNA (Promega, Madison, WI, USA) was fragmented using previously described fragmentation simulation methods and hybridized to Agilent (Santa Clara, CA, USA) SurePrint G3 Human 1 Million feature arrays. Clinical analysis was performed using Agilent Workbench software, and log ratios were normalized using the centralization algorithm, with a threshold score of 6.0 and bin size of 10. The results were interpreted by two cytogeneticists (A.D. and A.L.).
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