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Given that chromosome and nuclear organization is tightly linked to biological state of the cell, the center will map the 4D nucleome for four key biological states representing different conformations during the cell cycle (interphase and mitosis), and during cell differentiation (pluripotent and differentiated states). We will obtain complementary data regarding the structure and dynamics of chromatin, at different length scales and in single cells using extensive high-throughput imaging, live cell imaging and super resolution microscopy. Data obtained with all approaches will be analyzed, integrated and modeled using a set of methods we will further develop to gain insights into the structure, physics and dynamics of chromosome folding over different length scales. Finally, a critical component of our proposal is the biological validation and further elaboration of the chromatin interaction maps that are generated from our conformational analyses. 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This dataset may be obtained with non-optimal cross-linking conditions (as demonstrated in the paper) and is reported here for documentation purposes.

\n

Users interested in using Hi-C or Micro-C data from this project for alternative analyses are advised to use only datasets generated with the optimal cross-linking conditions of 1% Formaldehyde + 3mM DSG.\nThe study authors further advise users to carefully select digestion enzymes and library size to fit their needs.\nA list of preferred datasets for re-use is provided.

"}, {"lab": {"@id": "/labs/4dn-dcic-lab/", "status": "current", "@type": ["Lab", "Item"], "display_title": "4DN DCIC, HMS", "uuid": "828cd4fe-ebb0-4b36-a94a-d2e3a36cc989", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin", "role.lab_submitter", "submits_for.828cd4fe-ebb0-4b36-a94a-d2e3a36cc989"]}}, "body": "In Situ Hi-C\n\n

\n In situ Hi-C is a method to detect and quantify the pairwise interactions between chromosome regions across the entire genome. It was developed in 2014 as an improvement over the dilution Hi-C method. Compared to standard dilution Hi-C, this technique reduces the frequency of random ligation because the ligation is performed in situ inside the nucleus, a constrained space, instead of in solution, where DNA fragments are floating freely. In addition, this protocol can be done more quickly in the lab and was the first to introduce the use of 4-cutter restriction enzymes as opposed to the previous 6-cutters, providing higher resolution.\n

\n

\nThe protocol involves cross-linking the cells with formaldehyde to form links between physically adjacent DNA regions. The cells are then permeabilized with their nuclei intact. A 4-cutter restriction enzyme is used to digest the chromatin into multiple DNA fragments. The resulting fragments are biotinylated by end filling of the fragments ends. The fragments are then ligated and the DNA is purified and sheared. The biotinylated fragments are pulled down from the solution with streptavidin beads and a library is constructed and sequenced. Analysis of the resulting paired-end short read sequences produces a matrix that shows the number of interactions between different DNA regions.\n

\n

\nSee Rao et al., 2014 for more details.\n

\n\n
\n\n

\n Image source: Rao et al., 2014, Figure 1A\n
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\n In situ Hi-C is a method to detect and quantify the pairwise interactions between chromosome regions across the entire genome. It was developed in 2014 as an improvement over the dilution Hi-C method. Compared to standard dilution Hi-C, this technique reduces the frequency of random ligation because the ligation is performed in situ inside the nucleus, a constrained space, instead of in solution, where DNA fragments are floating freely. In addition, this protocol can be done more quickly in the lab and was the first to introduce the use of 4-cutter restriction enzymes as opposed to the previous 6-cutters, providing higher resolution.\n

\n

\nThe protocol involves cross-linking the cells with formaldehyde to form links between physically adjacent DNA regions. The cells are then permeabilized with their nuclei intact. A 4-cutter restriction enzyme is used to digest the chromatin into multiple DNA fragments. The resulting fragments are biotinylated by end filling of the fragments ends. The fragments are then ligated and the DNA is purified and sheared. The biotinylated fragments are pulled down from the solution with streptavidin beads and a library is constructed and sequenced. Analysis of the resulting paired-end short read sequences produces a matrix that shows the number of interactions between different DNA regions.\n

\n

\nSee Rao et al., 2014 for more details.\n

\n\n
\n\n

\n Image source: Rao et al., 2014, Figure 1A\n
", "filetype": "html", "content_as_html": "
In Situ Hi-C\n

\n In situ Hi-C is a method to detect and quantify the pairwise interactions between chromosome regions across the entire genome. It was developed in 2014 as an improvement over the dilution Hi-C method. Compared to standard dilution Hi-C, this technique reduces the frequency of random ligation because the ligation is performed in situ inside the nucleus, a constrained space, instead of in solution, where DNA fragments are floating freely. In addition, this protocol can be done more quickly in the lab and was the first to introduce the use of 4-cutter restriction enzymes as opposed to the previous 6-cutters, providing higher resolution.\n

\n

\nThe protocol involves cross-linking the cells with formaldehyde to form links between physically adjacent DNA regions. The cells are then permeabilized with their nuclei intact. A 4-cutter restriction enzyme is used to digest the chromatin into multiple DNA fragments. The resulting fragments are biotinylated by end filling of the fragments ends. The fragments are then ligated and the DNA is purified and sheared. The biotinylated fragments are pulled down from the solution with streptavidin beads and a library is constructed and sequenced. Analysis of the resulting paired-end short read sequences produces a matrix that shows the number of interactions between different DNA regions.\n

\n

\nSee Rao et al., 2014 for more details.\n

\n
\n\n

\nImage source: Rao et al., 2014, Figure 1A\n
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