NUS CSI

RNA Biology Symposium
2016-09-07 16:00 - 2016-09-09 15:59 UTC
Click here for program

RNA Biology Symposium
2016-09-08 00:00 - 2016-09-09 09:00

CSI Research Meeting - 23 Sep
2016-09-23 04:00 - 05:00

CSI Open House 2016
2016-09-30 01:00 - 05:00
Registration for this event has CLOSED.For queries, please email csi_gradprog@nus.edu.sg

CSI Seminar - Samuel Sidi
2016-10-03 08:00 - 09:00

CSI Distinguished Speakers' Series - Prof Ashok Venkitaraman
2016-10-05 03:00 - 04:00

CSI Research Meeting - 7 Oct
2016-10-07 04:00 - 05:00

CSI Distinguished Speakers' Series - Prof A. Thomas Look
2016-10-10 02:00 - 03:00

CSI Research Meeting - 21 Oct
2016-10-21 04:00 - 05:00

CSI Seminar Series
2016-11-02 01:00 - 04:00

RNA Club - Edvard Smith
2016-11-03 03:00 - 04:00

Frontiers in Cancer Science 2016
2016-11-06 16:00 - 2016-11-09 15:59

CSI Research Meeting - 18 Nov
2016-11-18 04:00 - 05:00
To be updated

CSI Seminar - Ichiro Taniuchi
2016-11-23 08:00 - 09:00

CSI Seminar - Zhu Bing
2016-12-07 02:00 - 03:00

CSI Seminar - Yoichi Shinkai
2017-01-03 08:00 - 09:00

CSI Seminar - Par Nordlund
2017-01-09 02:30 - 03:30

NUS-Keio Joint Scientific Symposium
2017-01-10 01:00 - 2017-01-11 09:00
Register here!
Download and view event program here.

CSI Research Meeting - 13 Jan
2017-01-13 04:00 - 05:00

CSI Seminar - Ross Levine
2017-01-16 02:30 - 03:30

Singapore RNA Biology Alliance Inaugural Meeting
2017-01-16 06:00 - 09:00
More information here: https://srba-rna.org/

BOCA Pow-Wow
2017-01-24 02:00 - 15:00
Breast and Ovarian Cancers (BOCA) Pow-Wow
Day/Date: Tuesday, 24 January 2017
Time: 10am-11am
Venue, #01-01A Learning Room, Level 1, MD6

Speakers:

Shreya Kar – PhD Student, Dr Alan Prem Kumar’s Group

Poh Han Ming – PhD Student, Prof Peter Lobie’s Group

CSI-ENS Bioinformatics Workshop
2017-02-10 00:00 - 2017-03-27 09:00
Registration is CLOSED.
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RNA Club
2017-02-10 03:00 - 04:00

Bioinformatics Club
2017-02-16 08:00 - 09:00
Bioinformatics Club
Venue: Level 12 Conference Room
Time: 16 Feb 2017, 4pm
Speaker: Samuel Collombet
Deciphering the regulatory network controlling blood cell specification through ChiP-seq meta-analysis and dynamical modelling
Abstract:
Blood cells arise from a common set of hematopoietic stem cells that differentiate into more specific progenitors, ultimately leading to different functional lineages. This process relies on the activation and repression of different genes modules, controlled by transcription factors (TFs). Novel high-throughput technologies allow the identification of cell-specific regulatory elements by characterising chromatin states and TFs binding sites, in conjunction with gene expression profiling. Proper integration and analysis of these data enable the delineation of novel regulatory interactions, which can be modelled and analysed using formal methods, thereby fostering our understanding of the mechanisms controlling cell fate at a system level, and enabling the prediction of the effects of molecular perturbations in silico. Combining public and novel data from molecular genetic experiments (qPCR, western blot, EMSA) or genome-wide assays (RNA-seq, ChIP-seq), we have assembled a comprehensive regulatory network encompassing the main transcription factors and signalling components involved in myeloid and lymphoid lineage development. Using a multilevel logical framework, we built a dynamical model allowing us to simulate cells differentiation, commitment and reprogramming in silico. To improve the accuracy of our model, we performed a meta-analysis of available TF ChIP-seq datasets for myeloid and lymphoid cells, confirming previously known regulations or confirming new ones (26 confirmed and 66 predicted regulations). We then iteratively included some predicted regulations in our model, performed static or dynamical analysis (stables states analysis or differentiation/reprogramming simulations), and compared the results with gene expression data and phenotypes. This approach enabled us to predict several important, previously unknown regulations, which were further confirmed experimentally. Finally we used our model to delineate novel trans-differentiation protocols that can be tested experimentally.

CSI Research Meeting - 17 Feb
2017-02-17 04:00 - 05:00

CSI Seminar - Jerry Workman
2017-02-20 03:00 - 04:00

CSI Seminar - Daan Noordermeer
2017-02-21 03:00 - 04:00

RNA Biology Centre Meeting
2017-03-02 06:00 - 07:00
By Invitation Only
Date: Thur, 2 Mar 2017
Time: 2pm
Venue: Level 12 Conference Room, MD6
Takaomi Sanda’s group will present their progress in the sub-project: “Identification of a Novel long Non-Coding RNA Regulated by the TAL1 Transcriptional Complex in T-cell Acute Lymphoblastic Leukemia”.

CSI Research Meeting - 10 Mar
2017-03-10 04:00 - 05:00
