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Anti gli1 antibody

Manufactured by R&D Systems

The Anti-GLI1 antibody is a primary antibody that recognizes the GLI1 protein. GLI1 is a transcription factor that plays a key role in the Hedgehog signaling pathway, which is involved in embryonic development and cell growth regulation. The Anti-GLI1 antibody can be used to detect and study the GLI1 protein in various research applications.

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2 protocols using anti gli1 antibody

1

Proximity Ligation Assay for GLI1 and H2A.Z

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PLA was performed as described by the manufacturer (Sigma-Aldrich, St. Louis, MO). Rh30 cells (gift from Dr. Peter Houghton, Greehey Children's Cancer Research Institute, San Antonio, TX), and HeLa cells (ATCC, Manassas, VA) were interrogated with anti-GLI1 antibody (R&D Systems, Minneapolis, MN) and/or anti-H2A.Z antibody (Cell Signaling, Danvers, MA) for PLA.
PLA labeled cells were imaged on a confocal microscope (Zeiss 510 META, Carl Zeiss, Jena, Germany). Z-stacks were acquired to allow for three-dimensional rendering in Volocity software (Perkin Elmer, Waltham, MA). DAPI fluorescence images were processed in the EBImage package or the R statistical programming environment to better define the nuclear boundary. Differential Interference Contrast data from brightfield images were processed in Photoshop (Adobe, San Jose, CA) using high pass filtering and median filtering to allow for rough visualization of cell boundaries. No processing was done to PLA fluorescence. All images were handled equivalently in Volocity, they were rendered in “3D Opacity” mode and channel opacity, density and black levels were all set to the same between images. Each square in the grid is approximately 22 μm on a side.
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2

Proximity Ligation Assay for GLI1 and H2A.Z

Check if the same lab product or an alternative is used in the 5 most similar protocols
PLA was performed as described by the manufacturer (Sigma-Aldrich, St. Louis, MO). Rh30 cells (gift from Dr. Peter Houghton, Greehey Children's Cancer Research Institute, San Antonio, TX), and HeLa cells (ATCC, Manassas, VA) were interrogated with anti-GLI1 antibody (R&D Systems, Minneapolis, MN) and/or anti-H2A.Z antibody (Cell Signaling, Danvers, MA) for PLA.
PLA labeled cells were imaged on a confocal microscope (Zeiss 510 META, Carl Zeiss, Jena, Germany). Z-stacks were acquired to allow for three-dimensional rendering in Volocity software (Perkin Elmer, Waltham, MA). DAPI fluorescence images were processed in the EBImage package or the R statistical programming environment to better define the nuclear boundary. Differential Interference Contrast data from brightfield images were processed in Photoshop (Adobe, San Jose, CA) using high pass filtering and median filtering to allow for rough visualization of cell boundaries. No processing was done to PLA fluorescence. All images were handled equivalently in Volocity, they were rendered in “3D Opacity” mode and channel opacity, density and black levels were all set to the same between images. Each square in the grid is approximately 22 μm on a side.
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