Cancer Synthesis Essay

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This article observes and expands upon how technology and certain techniques have allowed us to look at cancer treatment in a whole new light. Cancer is very difficult to treat due to the heterogeneity of the actual cancer cells. Cellular heterogeneity can be the result of a multitude of things, including mutation, gene regulation, and environmental factors. But as technology advances, so does the field of single-cell analysis, which uses genomics and medicine to improve upon treatment. Originally single-cell technologies such as flow cytometry and RNA fluorescence in situ hybridization (FISH) were limited in what they could actually provide due the amount of genes that could be observed and profiled, but things have drastically changed. Whole-genomic amplification (WGA) allows a small amount of nucleic acid material to reach a threshold and thus be amplified. PCR techniques (such as GenomePlex PCR), multiple displacement amplification, multiple anneal and looping- based cycles have benefited greatly from WGA. With these techniques we can now find point mutation, copy number profiling in cancer cells, and detection of single nucleotide polymorphisms and copy-number variations. Single cell genomics can be viewed via transcriptomic/genomic/proteomic analysis also. In these techniques mRNA is a key component to understanding …show more content…

The article explains that both data and visual analysis can be very difficult at times. This is due to the amount of raw data received and how we can actually use and quantify it into actual data and models. Issues like technical variations, high dimensionality, and non-linear relationships have been met with technologies looking to surpass them. Single-cell latent model (scLVM), t-distributed stochastic neighbor embedding (t- SNE) method, and many others advances have helped solve these issues and open up doors in the biomedical field of

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