Using principles from social media to explore cytoskeletal regulatory networks in dividing human cells

Abstract

Over 100 proteins orchestrate mitotic spindle movements and thereby define the plane of cell division in all cells. How these players jointly steer the spindle towards a predefined position is not clear. To address this, we are undertaking a novel approach of analyzing terabytes of live-cell movies of dividing human cells lacking distinct regulators of spindle function, where abstractly what we are looking at is identifying which players are ‘functionally’ connected with which other players. This is a combinatorial problem, and to address this scalably, this project will adapt and repurpose powerful new computational tools that have been highly successful for large social network data.




References:
[1]

Mitosis phase-specific interactions of EB1 reveal two pools of SKAP associated with distinct mitotic outcomes. Tamura N, Shenoy R, Simon J, Nayak A, Hiroi N, Boilot V, Funahashi A and Draviam VM. (Biology Open 2015 (4): 155-169).

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Automated tracking of mitotic spindle pole positions show that LGN is required for spindle rotation but not orientation maintenance. Corrigan A, Shrestha RL, Zulkipli I, Hiroi N, Liu Y, Tamura N, Yang B, Patel J, Funahashi A, Donald A and Draviam VM. (Cell Cycle 2013 12 (16): 2643-55).

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Predicting Pinterest: Automating a distributed human computation Changtao Zhong, Dmytro Karamshuk and Nishanth Sastry, WWW 2015

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Social Bootstrapping: How Pinterest and Last.fm Social Communities Benefit by Borrowing Links from Facebook Changtao Zhong, Mostafa Salehi, Sunil Shah, Marius Cobzarenco, Nishanth Sastry and Meeyoung Cha, WWW 2014

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A Semi-Supervised Approach for Refining Transcriptional Signatures of Drug Response and Repositioning Predictions. Iorio F, Shrestha RL, Levin N, Boilot V, Garnett MJ, Saez-Rodriguez J, Draviam VM. PLOS One 2015 10(10):e0139446.


Biological Areas:

Cell Biology

BBSRC Area:

Genes, development and STEM approaches to biology