I am assuming the first step is to count the chromosomes, and isolate that you have exactly a collection of full sets, which came from the same cells, so that the property, (there are k of each exactly) holds. I would need to look in literature to see the sucess rate of isolating all chromosomes, not just (at least one)
It seems for this method you must get 22 sucessful sequences in a row, which is hard if sequencing fails even sometimes, or you lose a chromosome even sometimes.
I am assuming the first step is to count the chromosomes, and isolate that you have exactly a collection of full sets, which came from the same cells, so that the property, (there are k of each exactly) holds. I would need to look in literature to see the sucess rate of isolating all chromosomes, not just (at least one)
Right, for isolating-ensembling methods, that’s an important and nontrivial step. I think with light microscopy it shouldn’t be too hard to tell when you’ve succeeded. I think there are standard tools for processing many cells in parallel in microwells, so that aspect should be ok. Assuming most of your cells are euploid in the first place, it shouldn’t be too hard to at least collect a euploid set of DNA. The chromosomes might be prone to breaking, depending on a bunch of factors. However, it’s fine if some chromosomes break, as long as you still have all the DNA and your identification method (e.g. standard sequencing) can deal with broken DNA. The complementation still works.
It seems for this method you must get 22 sucessful sequences in a row, which is hard if sequencing fails even sometimes, or you lose a chromosome even sometimes.
Assuming you have plenty of source cells, you can independently and in parallel get a known chromosome 1, a known chromosome 2, etc. It’s fine if the identification protocol fails sometimes. The only unacceptable failure is if it says “yep we definitely got chromosome 4!” but it’s often wrong (say, more than 1% or 2%).
I am assuming the first step is to count the chromosomes, and isolate that you have exactly a collection of full sets, which came from the same cells, so that the property, (there are k of each exactly) holds. I would need to look in literature to see the sucess rate of isolating all chromosomes, not just (at least one)
It seems for this method you must get 22 sucessful sequences in a row, which is hard if sequencing fails even sometimes, or you lose a chromosome even sometimes.
Right, for isolating-ensembling methods, that’s an important and nontrivial step. I think with light microscopy it shouldn’t be too hard to tell when you’ve succeeded. I think there are standard tools for processing many cells in parallel in microwells, so that aspect should be ok. Assuming most of your cells are euploid in the first place, it shouldn’t be too hard to at least collect a euploid set of DNA. The chromosomes might be prone to breaking, depending on a bunch of factors. However, it’s fine if some chromosomes break, as long as you still have all the DNA and your identification method (e.g. standard sequencing) can deal with broken DNA. The complementation still works.
I’m not sure I follow. It’s true that you need all confident calls for isolating-ensembling methods; see https://berkeleygenomics.org/articles/Chromosome_identification_methods.html#isolating-ensembling-methods-require-high-confidence-number-identification .
Assuming you have plenty of source cells, you can independently and in parallel get a known chromosome 1, a known chromosome 2, etc. It’s fine if the identification protocol fails sometimes. The only unacceptable failure is if it says “yep we definitely got chromosome 4!” but it’s often wrong (say, more than 1% or 2%).