Closed Antonialock closed 5 years ago
I'm glad this is a future issue because I don't understand those plots at all. :-)
The position of chromatin in the nucleus is not random, and different features occupy preferential spaces within the nucleus (no chromatin in nucleolus, telomeres cluster, and so on).
Maria wondered if they have a map of where each gene is located - if they have modelling estimates for where each gene is located, then you could supply a tool with a gene list, and those gene positions could be coloured in in an image.
I wrote to him to say that someone had requested it. And to ask if they had one /could make one. No response so far...
You could also ask Kimberley MacKay: https://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-018-3507-2
Although Guy Slater has developed something too. Probably not finished yet....
That looks like chromosomal contact maps? Not localisation of genes in a nucleus
It's derived from the same data-type though? Fig 2 a-d in McKay is broadly equivalent to 3a &b in O'sullivan
I'm sure that people would also be interested in chomosomal contact sites but that is harder (since we don't have an easy way to represent these with PomBase IDs).
That is however different from the physical localization of genes inside the nucleus.
I know, but it comes from the same data doesn't it? you need the contact sites to calculate/model the 3-D spatial position of the genes?
The same people will develop the software because it's related?
It incorporates some data...
G1 and G2 phase chromosomes were modeled as coarse-grained flexible chromatin fibers using a Monte Carlo approach. Spatial constraints governing the nuclear size (30), and biological constraints restricting the telomere (21) and nucleolus positioning and centromere colocalization with the spindle pole body (SPB) (21,31,32) were based on microscopic observations (33). Models with the nucleolus diametrically opposite the SPB represent ≥45% of the population that has been previously observed microscopically (31). Subsets (10%) of the captured interactions for the G1 and G2 phase genomes were incorporated as attractive forces. Three model types were generated: confined, constrained and interactions. The confined model included the spatial constraints and nucleolar excluded volume. The constrained model included the spatial and biological constraints. In addition to the spatial and biological constraints, the interactions model also included captured uniquely positioned, significant, non-adjacent interactions from the GCC data. Sets of interactions for inclusion in the interactions model were randomly selected with a probability proportional to their frequency of capture in the GCC experiment. Full details for the algorithm are available in Supplementary Methods.
I asked them if they had some software that would do the mapping based on a predefined network....I'm guessing not or else they would have made it available. Just thought it didn't hurt to ask since Maria requested it.
We had a small number of requests. Still low priority but something to keep on the radar as interest is increasing
requests from user survey: 3D genome display 4
Closing as we have this listed in the "future" doc. It was also on the curation tracker.
Another idea from Maria
One Idea that could be super cool, but that would involve Justin O’Sullivan (from New Zeland) would be if there would be a way to implement his nucleus 3D plots with the gene list query in pombase. (like the plots in these papers https://www.ncbi.nlm.nih.gov/pubmed/25342201, https://www.ncbi.nlm.nih.gov/pubmed/26729303) I guess if he has some sort of 3D network of genes then the query builder could color them. For me something like this would be fantastic.