GPT Image-2 - Text to Image

Prompt

Create a BioRender-style three-panel schematic illustrating the same mechanism in a stepwise narrative: Panel A: NAT1 deficiency in brain endothelial cell triggers constitutive activation of RIPK1 in the cytosol. Depict RIPK1 as an orange circle near the cytoplasm boundary. Panel B: Nuclear signaling: RIPK1 activates P65 / NF-κB; show nuclear translocation and accumulation of P65; label “NF-κB activation” and illustrate transcriptional upregulation of VCAM1 with VCAM1 mRNA/protein moving to the endothelial membrane; show T cells approaching and tethering to VCAM1. Panel C: Cytoplasmic necroptotic branch: a separate pathway where RIPK1 activates RIPK3 and MLKL; depict MLKL moving to the plasma membrane to form pores, resulting in membrane rupture. Surround rupture with Astrocyte encasing to protect the endothelial cell. Color guidance (consistent across panels): NAT1 deficiency symbol in red/alert color. RIPK1: orange; P65 / NF-κB: purple; VCAM1 at membrane: vivid red with “↑”. RIPK3: green; MLKL: yellow (membrane pore visualization as dashed channels). Astrocyte: muted gray-blue network around rupture. Panel labels: Panel A, Panel B, Panel C with concise captions in Chinese. Output format: PNG or SVG, aspect ratio 16:9, layout suitable for a multi-panel figure (Panel A left, Panel B center/top, Panel C right/bottom or a neat grid). 在上面的基础上修改:不要吧细胞分为3部分,而是在一个细胞中绘制,星形胶质细胞在内皮细胞的外面,NAT1等在内皮细胞中,星形胶质细胞从外面包裹住内皮细胞膜有损伤的部位,损伤表现为MLKL在质膜上行层管状通道

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GPT Image-2 - Text to Image

GPT Image-2image:gpt-image-2-text-to-imageImage generation
Jul 8, 2026, 03:17 PM

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Provider
GPT Image-2
Model
image:gpt-image-2-text-to-image
Created
Jul 8, 2026, 03:17 PM
Credits
8
Mode
Image generation
Aspect ratio
auto
Resolution
4K

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