I am now sharing an extremely detaild new method invented by the OpenAI GPT-5 Pro model for one of biology’s oldest and most foundational techniques: Western blotting. I had the honor of learning it in 1989 in Switzerland from two of its original inventors, Drs. Harry Towbin and
Method: Digital Size‑Indexed ImmunoSequencing (DSI‑Seq) Goal: preserve Western’s size information and antibody specificity, but make it quantitative, multiplexed, fast, and low input. Core idea Rapid microchip SDS separation of denatured proteins. Inline fractionation of the
Here is the interrogation of feasibility, potential issues problems, how to solve them, improvements to the assay, quality checks, go no go acceptance criteria: Feasibility verdict Technically feasible with careful chemistry and controls. The gating risk is background signal
Below is a focused, execution‑ready plan to retire the highest risks in DSI‑Seq fast, with concrete tests, acceptance gates, and fixes. It keeps the assay in the IP‑lean, single‑tag digital immunoPCR architecture you asked for. This plan gives you fast, quantitative readouts for
I am also adding an organized lab‑ready protocol for Digital Size‑Indexed ImmunoSequencing (DSI‑Seq) here. This is written to let you prototype, optimize, and validate the method on benchtop equipment. The protocol implements the IP‑lean single‑tag digital immunoPCR style
@DeryaTR_ I pasted your complete text into gpt-5-pro, along with a precursor prompt, and it came up with 3 complementary methods. If you have time can you take a look and share a comment? https://chatgpt.com/share/68b8...


