Point people/organizers: Frank Alber, Bing Ren, Yin Shen, Susanne Rafelski

4DN Google Drive folder: https://drive.google.com/drive/folders/1sskUxIcdm9Aohp92XeNwv9wt6nNYR3U2?usp=sharing

4DN Calendar: https://wiki.4dnucleome.org/4dn:calendar_4dn (click here to add this specific WG calendar to your personal calendar)

Agenda/minutes: https://docs.google.com/document/d/1-cgXP2sBcvZMT-Ap5Z5wzSYteRJnyAvQTsShsu9Wgw0/edit?usp=sharing

Meeting attendee spreadsheet: https://docs.google.com/spreadsheets/d/1pUjpEu0NoodCX4pHtf4lYxJn2DdhVWxwrThaiHYUy2o/edit?usp=sharing

Email list: wtc-11@4dnucleome.org

Slack channel: #wg-wtc11

Objective: Develop a general approach for studying the dynamic nuclear organization in mammalian cells. Ultimately, this will allow us to learn the general principles of dynamic nuclear organization of cells during the cell cycle, differentiation, and in response to extracellular signals.

Goals of the working group:

1) Establish WTC11 as target system for studying the temporal dimension of 3D genome organization. The goal is to understand the principles by which cells reorganize in 3D space as they move from state to state in response to the cell cycle, differentiation, changes in environment, agonists/antagonists, etc. The working group will coordinate efforts across different labs working on WTC11 cells. We will explore synergies and coordinate efforts for data production.

2) A central component of our efforts will be the integration of imaging with genomics data to study the changes in global cellular organization during cell cycle and differentiation. We continue to explore synergies with the Allen Institute of Cell Science (AICS), which developed a panel of human pluripotent stem cell (hiPSC) lines expressing genetically engineered, EGFP-tagged proteins that can be used to map the dynamic localization of a particular organelle or structure using live cell imaging. The AICS developed segmentation algorithms for quantitative image analyses and label-free simultaneous imaging of cellular structures during cell cycle and differentiation. These images will be integrated with ensemble and single cell genomics data to enable in-depth understanding of dynamic chromatin organization during cell cycle and differentiation in human cells.