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Stem cell genomics

From Wikipedia, the free encyclopedia

In biology and medicine, stem cell genomics is the analysis of the genomes of stem cells. Currently, this field is rapidly expanding due to the dramatic decrease in the cost of sequencing genomes. The study of stem cell genomics has wide reaching implications in the study of stem cell biology and possible therapeutic usages of stem cells.

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Transcription

You've probably heard of the human genome, the huge collection of genes inside each and every one of your cells. You probably also know that we've sequenced the human genome, but what does that actually mean? How do you sequence someone's genome? Let's back up a bit. What is a genome? Well, a genome is all the genes plus some extra that make up an organism. Genes are made up of DNA, and DNA is made up of long, paired strands of A's, T's, C's, and G's. Your genome is the code that your cells use to know how to behave. Cells interacting together make tissues. Tissues cooperating with each other make organs. Organs cooperating with each other make an organism, you! So, you are who you are in large part because of your genome. The first human genome was sequenced ten years ago and was no easy task. It took two decades to complete, required the effort of hundreds of scientists across dozens of countries, and cost over three billion dollars. But some day very soon, it will be possible to know the sequence of letters that make up your own personal genome all in a matter of minutes and for less than the cost of a pretty nice birthday present. How is that possible? Let's take a closer look. Knowing the sequence of the billions of letters that make up your genome is the goal of genome sequencing. A genome is both really, really big and very, very small. The individual letters of DNA, the A's, T's, G's, and C's, are only eight or ten atoms wide, and they're all packed together into a clump, like a ball of yarn. So, to get all that information out of that tiny space, scientists first have to break the long string of DNA down into smaller pieces. Each of these pieces is then separated in space and sequenced individually, but how? It's helpful to remember that DNA binds to other DNA if the sequences are the exact opposite of each other. A's bind to T's, and T's bind to A's. G's bind to C's, and C's to G's. If the A-T-G-C sequence of two pieces of DNA are exact opposites, they stick together. Because the genome pieces are so very small, we need some way to increase the signal we can detect from each of the individual letters. In the most common method, scientists use enzymes to make thousands of copies of each genome piece. So, we now have thousands of replicas of each of the genome pieces, all with the same sequence of A's, T's, G's, and C's. But we have to read them all somehow. To do this, we need to make a batch of special letters, each with a distinct color. A mixture of these special colored letters and enzymes are then added to the genome we're trying to read. At each spot on the genome, one of the special letters binds to its opposite letter, so we now have a double-stranded piece of DNA with a colorful spot at each letter. Scientists then take pictures of each snippet of genome. Seeing the order of the colors allows us to read the sequence. The sequences of each of these millions of pieces of DNA are stitched together using computer programs to create a complete sequence of the entire genome. This isn't the only way to read the letter sequences of pieces of DNA, but it's one of the most common. Of course, just reading the letters in the genome doesn't tell us much. It's kind of like looking through a book written in a language you don't speak. You can recognize all the letters but still have no idea what's going on. So, the next step is to decipher what the sequence means, how your genome and my genome are different. Interpreting the genes of the genome is the part scientists are still working on. While not every difference is consequential, the sum of these differences is responsible for differences in how we look, what we like, how we act, and even how likely we are to get sick or respond to specific medicines. Better understanding of how disparities between our genomes account for these differences is sure to change the way we think not only about how doctors treat their patients, but also how we treat each other.

Applications

Application of research in this field could lead to drug discovery and information on diseases by the molecular characterization of the pluripotent stem cell through DNA and transcriptome sequencing and looking at the epigenetic changes of stem cells and subsequent products.

Single cell phenotypic analysis

One step in that process is single cell phenotypic analysis, and the connection between the phenotype and genotype of specific stem cells. While current genomic screens are done with entire populations of cells, focusing in on a single stem cell will help determine specific signaling activity associated with varying degrees of stem cell differentiation and limit background due to heterogeneous populations.[1]

Alzheimer's disease

Single cell analysis of induced pluripotent stem cells (iPSCs), or stem cells able to differentiate into many different cell types, is a suggested method for treating such diseases like Alzheimer's disease (AD). This includes for understanding the differences between sporadic AD and familial AD. By first taking a skin sample from the patient and are transformed by transducing cells using retroviruses to encode such stem cell genes as Oct4, Sox2, KLF4 and cMYC. This allows for skin cells to be reprogrammed into patient-specific stem cell lines.[2] Taking genomic sequences of these individual cells would allow for patient-specific treatments and furthering understanding of AD disease models.

Other diseases

This technique would be used for similar diseases, like amyotrophic lateral sclerosis (ALS) and spinal muscular atrophy (SMA). These stem cells developed from a singular patient would also be able to be used to produce cells affected in the above-mentioned diseases. As mentioned, it will also lead to patient specific phenotypes of each disease. Further chemical analyses to develop safer drugs can be done through sequence information and cell-culture tests on iPSCs. After development on a specific drug, it can be transferred to other patient diseased cells while also being safety tested.[3]

Methods

Included in the study of stem cell genomics, is epigenomics, genomic-scale studies on chromatin regulatory variation. These studies also hope to expand research into regenerative medicine models and stem cell differentiation. Cell-type specific gene expression patterns during development occur as the result of interactions the chromatin level.

Stem cell epigenomics focuses in on the epigenetic plasticity of human embryonic stem cells (hESCs).

Bivalent domains

This includes investigation into bivalent domains as promoters or chromatin regions that are modified by transcriptional initiation and related to gene silencing.

Active enhancers

They are also looking at the differences between active versus poised enhancers or enhancers that specifically control signaling-dependent gene regulation. Active enhancers are marked by acetylation of histone H3-H3K27ac and while poised are instead methylated at H3K27me3.

Methylation

Stem cell epigenomic studies are also looking into DNA methylation patterns, specifically characteristics of hydroxy methylation versus overall methylation and the difference between methylation of CpG-island rich and CpG poor promoters. It has been found in mouse embryonic stem cells (mESC) that implanted mESC took up similar characteristics of histone methylation of the embryos where they transplanted into, indicating that methylation may be indicative of environment. This will guide studies into the differences between induced pluripotent and embryonic stem cells. These studies hope to produce information on iPSC differentiation capacity by first needing to enhance chromatin signature reading.

Regulatory factors

It also hopes to produce to look into regulatory factors that control human embryonic development.[4] Using drug therapy techniques as mentioned earlier, epigenomics would also allow for more information on drug activity.

See also

References

  1. ^ DeWitt, N. D., Yaffe, M. P., & Trounson, A. (2012). Building stem-cell genomics in California and beyond. Nature Publishing Group, 30(1), 20–25.
  2. ^ Israel, M. A., & Goldstein, L. S. (2011). Capturing Alzheimer's disease genomes with induced pluripotent stem cells: prospects and challenges, 1–11.
  3. ^ Rubin, L. L., & Haston, K. M. (2011). Stem cell biology and drug discovery. BMC Biology, 9(1), 42.
  4. ^ Rada-Iglesias, A., & Wysocka, J. (2011). Epigenomics of human embryonic stem cells and induced pluripotent stem cells: insights into pluripotency and implications for disease, 1–13.
This page was last edited on 9 February 2024, at 08:13
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