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- TL;DR Summary
- It is now possible to obtain almost complete information of important aspects of embryonic development. This includes location and movement of all cells in a embryo as well as which genes are active in each cell. Important information in any attempt to understand ow embryos make adult forms.
I recently read this article in Science magazine: "The 200-year effort to see the embryo." by John B. Wallingford. Sadly it is probably not open access.
This article reviews the history increasingly detailed information available on developing embryos.
Recent technological advances in optical, data, combined with increasingly powerful computer technology has allowed scientists to track every cell through particular stages of embryology in particular animals that are well suited to such viewing. The cell tracking also yields cell lineage information about which cell is related (by cell division) to which cells and when the cell divisions occurred.
It also makes the point that it has recently become possible to determine which genes are expressed (turned on) in each cell in a developing embryo.
Both of these achievements are important landmarks in that they are getting down to the lowest level of detail in these two important areas of biological analysis (cells and genes).
In the grand view of biology, embryonic forms and the processes that generate them are an important intermediary between the inherited genetic instructions (full genomic sequences) and the adult (or other) forms where many analyses of adaptation of inherited genes are made.
That a higher dimensionality developmental analysis is required for understanding a developmental system is extensively made in this article. (Imaging in Systems Biology, Sean Magason and Scott Fraser), which came out more than 10 years ago and is open access.
They refer to the “xyztg data universe” as an ideal of modern developmental biology, which would describe the state of the entire genome (g) across time (t) in all three cardinal axes of space (x, y, z). The entire genome (the “g” part) would (I guess) include an n-dimensional array of expression values (n = 20,000 to 30,000 genes), for each cell (1 to thousands or millions of cells). Lots of information. In theory, all of this is now collectable in particularly well suited research model organisms, like C. elegans (almost microscopic worm), Drosophila melanogaster (fruit fly), and Danio rerio (zebrafish).
Additional useful information could include single cell optical physiological sensors and more detailed cell structure information.
This article reviews the history increasingly detailed information available on developing embryos.
Recent technological advances in optical, data, combined with increasingly powerful computer technology has allowed scientists to track every cell through particular stages of embryology in particular animals that are well suited to such viewing. The cell tracking also yields cell lineage information about which cell is related (by cell division) to which cells and when the cell divisions occurred.
It also makes the point that it has recently become possible to determine which genes are expressed (turned on) in each cell in a developing embryo.
Both of these achievements are important landmarks in that they are getting down to the lowest level of detail in these two important areas of biological analysis (cells and genes).
In the grand view of biology, embryonic forms and the processes that generate them are an important intermediary between the inherited genetic instructions (full genomic sequences) and the adult (or other) forms where many analyses of adaptation of inherited genes are made.
That a higher dimensionality developmental analysis is required for understanding a developmental system is extensively made in this article. (Imaging in Systems Biology, Sean Magason and Scott Fraser), which came out more than 10 years ago and is open access.
They refer to the “xyztg data universe” as an ideal of modern developmental biology, which would describe the state of the entire genome (g) across time (t) in all three cardinal axes of space (x, y, z). The entire genome (the “g” part) would (I guess) include an n-dimensional array of expression values (n = 20,000 to 30,000 genes), for each cell (1 to thousands or millions of cells). Lots of information. In theory, all of this is now collectable in particularly well suited research model organisms, like C. elegans (almost microscopic worm), Drosophila melanogaster (fruit fly), and Danio rerio (zebrafish).
Additional useful information could include single cell optical physiological sensors and more detailed cell structure information.