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Utilizing Agrobacterium-mediated transformation, we generated 78 primary transformants for LeTGA1 knockout and 130 primary transformants for SOLly GLB1 knockout.
To further define the function of Id-1 in cervical epithelial transformation, we generated stable Id-1 gene silencing in H8 cells with shRNA (Id-1-shRNA H8 cells).
To determine whether CSDA S134 phosphorylation is critical for Bcr-Abl-dependent transformation, we generated stable lines expressing empty vector or co-expressing Bcr-Abl and empty vector, CSDA or the CSDAS134A phospho-deficient mutant in Rat1 cells to employ in soft agar colony formation assays.
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To validate the transformation we generate the ODEs by reading the net in Figure 2 as a continuous Petri net [10], [30].
To determine whether constitutive expression of Hes1 might contribute to T cell transformation, we have generated transgenic mice that express Hes1 from the proximal Lck promoter.
Using one of these sltBΔ::riboB Af transformants (MAD3669), we generated by transformation a null sltA allele by replacing the sltA coding region with pyrG Af, as above.
To determine whether the selective oncogenic engagement of either the Grb2 or the Shc adaptor protein was sufficient to induce transformation of IECs, we generated populations of IEC-6 cells [ 25] expressing Tpr-Met variants that specifically bind to either the Grb2 (TM-Grb2-IEC-6 cells) or Shc (TM-Shc1-IEC-6 and TM-Shc2-IEC-6 cells, respectively) adaptor proteins, through retroviral infection.
Due to the previously applied nonlinear feature transformations we have successfully generated this ideal configuration: In Figure 10 the projection of all 55 features onto two dimensions via LDA is depicted.
Rather than applying predefined VOIs to the spatially normalized images to calculate the mean intensity, we utilized the transformation matrices generated during spatial normalization to inversely transform predefined VOIs to the image domain of the original images.
Due to the difficulty of soybean plant transformation, we adopted a method for generating transgenic hairy roots in soybean.
To generate the spatial wavelet transformation, we used 3D Daubechies (D2) functions up to level 3.
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