Predictive and Regenerative Medicine for Humans (Published)
In human history, finding a cure for the devastating disease of cancer has been a long, ongoing battle. Recently, scientific research has shown several feasible bio-medicinal ways for the treatment of cancer. The first method is through predictive regenerative medicine, which converts (breast) cancer cells back into phenotypically benign cells using continually updated predictions from Bayesian inference models. Another common method is the rewriting of damaged coordinating genes, but this has underlying moral issues — who can authorize the right to alter human genes? To investigate these methods, this paper will discuss elementary point-set topologies, physical gene mapping, and gene sequencing. The main purpose of this paper is to establish a statistical method with the help of mathematics in our biological life science. The proposed method can be applied in the case of manipulating genetic transcription and expression with a suitable Bayesian inference model (for genetic reprogramming). The peak value of cancer cell conversion is its Bayesian regression (based on the model’s parameters) from the corresponding Bayesian inference (for the normal posterior distribution, prior and likelihood). The relevant predictive conditions can be determined from the respective model, which could be used to reveal elements that help cancer cell conversion maximization/minimization. Practically, we may apply both of the Bayesian optimization and the related attribute adjustment (to the Oct4, SoX2, Klf4 and c-Myc transcription factors) that can induce the reprogramming of cancer cells. The expected outcome is that we can biomedical-engine the cancer cells conversion. To go a further step, one may apply my proposed Net-Seizing Theory to capture the genetic mutations that underly cancer disease. It is hope that we can design the corresponding universal strategy to heal cancer. Finally, one may establish an intelligent warning mechanism for those high risked cancer candidates but NOT for the thinking control in most of the dictatorship countries.
Keywords: Bayesian prediction methodology, Genome- editing, Spatial Analysis, Topology & DNA projection
A New Vista in Genome-Editing: Are There Concerns (Published)
The concept of genome-editing has revolutionised the field of Basic Biology research, medicine and biotechnology. The technologies, through DNA-binding protein, are engineered to cause modification of specific genes. In the process, carry out the needed repair of the selected mutant genes. As a result, it could offer treatment modalities to some diseases afflicting humans. However, the safety profile of the technology only guaranteed with the somatic cells. Recently, a new editing tool clustered regularly interspaced short palindromic repeat (CRISPR)-associated system (Cas) now available. The fact that CRISPR-Cas uses RNA molecules with some degree of human DNA sequence specificity has brought about an attempt at extending its use in the human preimplantation embryo. This consideration has generated serious concern bore out of the poor knowledge of the mechanism of DNA repair in the human preimplantation embryo. As a result, the possibility of off-target, mosaicism could portend catastrophic effect on the future generation.
Keywords: CRISPR, DNA sequence, Genome- editing, pre-implantation embryo.