Gene Therapy: Cancer, Heart Disease, Life Extension
Since before Crick and Watson, people have been dreaming about making changes to the human genome. First of all, watching a child die from an inherited disorder is heart-wrenching. Most parents and physicians would do almost anything to change that child's destiny. Then, the knowledge that many adults get sick and die prematurely, lose their strength and their minds prematurely, leads many physicians and scientists to think about changing the genes that cause that early decline. Finally, the knowledge that the degenerative changes of most common disease, including cancer and heart disease--and of aging itself--are moderated by genetic processes, led many scientists to think of adjusting the genetic compliment routinely.
With the discovery of restriction enzymes and practical methods of gene sequencing, the race to map the genes was on. It was important to understand the normal human genome before scientists could identify the genes that led to disease. Once all the disease genes were identified, it was thought that perhaps substituting healthy genes for the disease genes might cure the underlying problem.
But the story was not that simple. Early attempts to introduce genes into human subjects met with unforeseen obstacles. And when it was discovered that there were only 25,000 to 30,000 human genes--instead of the expected 100,000--it began to dawn on scientists that there was more to the story than just the genes. Epigenetic factors play into gene expression, which complicated the plot significantly.
Protein interaction, gene regulator proteins, non-coding RNA, and glycomics--among other things--influence gene expression and the ultimate fate of the cell. Of course, in humans, cells exist within tissues, tissues within organs, and organs within the human organism. Complex interactions occur at every level.
To introduce new genes into a cell with defective genes, you must have a vector. Gene vectors are typically viral, since viruses make a living by introducing their genes into an animal cell for its own replication. There are also non-viral vectors that can be used to introduce genes into cells. Viruses have a billion+ year advantage as gene vectors, but nonviral methods are improving despite the challenges.
Besides introducing genes into cells, modern gene therapy also involves silencing of genes by various means. Sometimes it involves activating dormant genes that are already present. And sometimes it means delivering the entire cell--genes, nucleus, cytoplasm, and all.
Human Gene Therapy journal has made an entire issue freely available on the internet. The latest news on gene therapy is available through various sources. A recent article in The Scientist discussed future directions of gene therapy.
The SENS approach to life extension involves interventions against seven causes of aging: Cell depletion, Unwanted Cells, Chromosomal Mutations, Mitochondrial Mutations, Protein Crosslinks, Extracellular Junk, and Intracellular Junk. None of them are insurmountable, and much of the new knowledge from molecular biology, stem cell biology, cell biology, and other areas of biotechnology, are applicable to these challenges.
The very proliferation of new knowledge in all of these areas present a difficulty. Bioinformatics has evolved to keep track of the impossible quantity of data being generated, but what is actually needed is a super-human intelligence to make sense of it all, and to prioritise new research. In lieu of that, we will have to muddle through. Bit by bit, we seem to be succeeding. It would go much faster with some next-level supervision, but such is life.
With the discovery of restriction enzymes and practical methods of gene sequencing, the race to map the genes was on. It was important to understand the normal human genome before scientists could identify the genes that led to disease. Once all the disease genes were identified, it was thought that perhaps substituting healthy genes for the disease genes might cure the underlying problem.
But the story was not that simple. Early attempts to introduce genes into human subjects met with unforeseen obstacles. And when it was discovered that there were only 25,000 to 30,000 human genes--instead of the expected 100,000--it began to dawn on scientists that there was more to the story than just the genes. Epigenetic factors play into gene expression, which complicated the plot significantly.
Protein interaction, gene regulator proteins, non-coding RNA, and glycomics--among other things--influence gene expression and the ultimate fate of the cell. Of course, in humans, cells exist within tissues, tissues within organs, and organs within the human organism. Complex interactions occur at every level.
To introduce new genes into a cell with defective genes, you must have a vector. Gene vectors are typically viral, since viruses make a living by introducing their genes into an animal cell for its own replication. There are also non-viral vectors that can be used to introduce genes into cells. Viruses have a billion+ year advantage as gene vectors, but nonviral methods are improving despite the challenges.
Besides introducing genes into cells, modern gene therapy also involves silencing of genes by various means. Sometimes it involves activating dormant genes that are already present. And sometimes it means delivering the entire cell--genes, nucleus, cytoplasm, and all.
Human Gene Therapy journal has made an entire issue freely available on the internet. The latest news on gene therapy is available through various sources. A recent article in The Scientist discussed future directions of gene therapy.
The SENS approach to life extension involves interventions against seven causes of aging: Cell depletion, Unwanted Cells, Chromosomal Mutations, Mitochondrial Mutations, Protein Crosslinks, Extracellular Junk, and Intracellular Junk. None of them are insurmountable, and much of the new knowledge from molecular biology, stem cell biology, cell biology, and other areas of biotechnology, are applicable to these challenges.
The very proliferation of new knowledge in all of these areas present a difficulty. Bioinformatics has evolved to keep track of the impossible quantity of data being generated, but what is actually needed is a super-human intelligence to make sense of it all, and to prioritise new research. In lieu of that, we will have to muddle through. Bit by bit, we seem to be succeeding. It would go much faster with some next-level supervision, but such is life.
Labels: gene therapy, genomics, micro RNA
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