6 thoughts on “S2 – Semenchuk

  1. I think the concept of this project is really interesting and I could definitely see this being very applicable in the real world, however, I do have one question. Would extraction of the casein protein from the mature soy bean be difficult or would it be as easy as just grinding the beans up in some way?

    1. The proteins we encoded were designed to be exported from the Golgi to the extracellular region between the cell membrane and cell wall. Crushing the beans and putting them under vaccum would pull these proteins through the cell wall, along with other cellular components. From here, the mixture could be spun down and various, traditional methods applied to isolate the proteins. The big question surrounding this whole experiment is if the micelle, or ball of proteins, will stay together or denature on some level.

  2. Really interesting concept. I am curious about the environmental impact. I know cows milk production is extremely harmful to the environment but is it more harmful than the mass production of soy?

    1. In my opinion, if the land and resources that goes into dairy farming was put into simply cultivating soybeans we would see a dramatic decrease in environmental harm. I think that the controversy surrounding soy comes from areas of the world where active deforestation is occurring to clear land for soy crops. In the US at least, the land going to livestock is huge. I’m from the midwest, and I know driving though Illinois and Wisconsin all you see is fields of soybeans and pastures of cows. Unlike cows, the soybean process has less waste involved and the byproducts could be composted back into the soil.

  3. This was an intersting presentation and research topic. Did beta-A2 casein pose any problems when creating vectors?

    1. Thanks for the question. The beta-A2 casein is identical to the beta-A1 except for a single amino acid change. Since this is in the middle of the coding region, it posed no extra challenge to inserting it in a vector. Our GoldenGate assembly works the best with vectors containing groups of three transgene inserts at a time. At our last round of GoldenGate we had aS1-aS2-kappa and bA2-Fam20-GFP. Adding another beta protein was redundant and would have thrown off the assembly. Choosing beta-A2 over beta-A1 was a matter of choosing the protein that was more digestively friendly to humans.

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