Anti gata6
Anti-GATA6 is a laboratory reagent used in research applications. It is an antibody that binds to the GATA6 protein, which is a transcription factor involved in the regulation of gene expression. The core function of Anti-GATA6 is to enable the detection and analysis of GATA6 in biological samples.
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10 protocols using anti gata6
Immunocytochemistry of Adherent Cells
Protein Analysis of Heart Tissue
Pancreatic Cancer Tissue Profiling
Characterization of Cell Lineages
Immunofluorescence Analysis of Nanog Mutant Embryos
Nanog mutant embryos were obtained as previously described [4 (link)] and genotyped by NANOG antibody staining.
Immunocytochemical Analysis of Stem Cell Markers
Western Blot Analysis of GATA6 in EPS Cell Lines
The primary antibodies and dilutions used were as follows: anti-GATA6 (1:400; R&D Systems, AF1700), anti-β-Actin (1:2,000; Proteintech, HRP-66009). The primary antibodies and dilutions used were as follows: anti-goat IgG (H+L) (1:5,000; Beyotime, A0181), anti-mouse IgG (H+L) (1:5,000; Beyotime, A0216).
Immunostaining of α-SMA and GATA6
Preimplantation Embryos Immunofluorescence
Primary antibodies were anti-NANOG raised in rat (eBioscience, San Diego, CA, USA, Ref. 14-5761; 1:200) , anti-GATA6 raised in goat (R&D Systems, Minneapolis, MN, USA, AF1700; 1:200), anti-GATA4 raised in rabbit (Santa Cruz, Dallas, TX, USA, sc-9053; 1:200) and anti-GATA3 raised in rabbit (eBioscience, San Diego, CA, USA, Ref. 1:200) . DAPI (Invitrogen/Thermo Fisher Scientific, Waltham, MA, USA, D1306; 1:1000) was used to stain the nuclei.
Immunostaining of Adherent Cells
Antibodies used were anti-NANOG (e-bioscience, eBioMLC-51, 14-5761-80, final concentration 2.5 µg/ml), anti-GATA6 (R&D AF1700, final concentration 1 µg/ml), and anti-FLAG (Sigma-Aldrich F1804-200, final concentration 1 µg/ml). Secondary antibodies were from Invitrogen/LifeTech. Images were acquired using a 63x 1.4 N.A. oil-immersion objective on a confocal Leica SP8 microscope, with all settings held constant between replicates. Images were quantified using custom scripts written for ImageJ (NIH) and in Matlab (The Mathworks).
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