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Image Search Results
Journal: The Journal of Clinical Investigation
Article Title: ADAMTS7 promotes smooth muscle foam cell expansion in atherosclerosis
doi: 10.1172/JCI187451
Figure Lengend Snippet: ( A ) Schematic outlining experimental design and the generation of the SMC transgenic ADAMTS7 mouse. Created with BioRender.com. ( B ) ORO staining of the en face aorta and quantification of lesion area. n = 9. ( C ) Representative images of H&E-stained aortic root sections, quantification of plaque areas ( n = 6). Scale bar: 500 μm. ( D ) Representative images of H&E-stained aortic root sections with necrotic core outlined in dotted line ( n = 6 mice). Scale bar: 300 μm. ( E ) Representative images of aortic root sections stained against α-SMA (Cy3; red), MAC2 (Alexa Fluor 488 green), and cell nuclei (DAPI blue) with their subsequent quantification relative to lesion area ( n = 6). Scale bar: 300 μm. ( F ) Representative Picrosirius red staining of aortic root lesions with bars indicating fibrous cap thickness and quantification of fibrous cap thickness ( n = 6). Scale bar: 300 μm. ( G ) Schematic outlining experimental design and the generation of the EC transgenic ADAMTS7 mouse. Created with BioRender.com. ( H ) ORO staining of the en face aorta and quantification of lesion area. n = 3–4. ( I ) Representative images of H&E-stained aortic root sections and quantification of plaque areas ( n = 5–6). Scale bar: 500 μm. **** P < 0.0001, * P < 0.05. Statistics were analyzed using a 2-tailed Student’s t test.
Article Snippet: The sections then were stained using the following Abs and dilutions: 1:1,000 α-SMA-Cy3 (MilliporeSigma, C6198) and 1:500
Techniques: Transgenic Assay, Staining
Journal: Cell stem cell
Article Title: Smooth muscle cell reprogramming in aortic aneurysms
doi: 10.1016/j.stem.2020.02.013
Figure Lengend Snippet: KEY RESOURCES TABLE
Article Snippet: Monoclonal anti-Mac2/Galectin-3-153Eu (clone M3/38) ,
Techniques: Recombinant, Multiplex Assay, Staining, In Situ, Marker, Expressing, Plasmid Preparation, shRNA, Software