SELVARAJOO Kumar Selvarajoo Kumar

Researcher Number	40439253
Other IDs	https://orcid.org/0000-0002-0314-9666
Affiliation (based on the past Project Information) *help	2015: 慶應義塾大学, 政策・メディア研究科, 准教授 2014 – 2015: 慶應義塾大学, 政策・メディア研究科, 特任准教授 2013: 慶應義塾大学, 政策・メディア研究科, 特任講師
Review Section/Research Field	Principal Investigator System genome science
Keywords	Principal Investigator Dynamical Approach / RIP1 / TNF / Inflammation / PKC / Systems Biology / Tumor Immunology / Apoptosis / Computational Model / Modeling / Computational Biology / Cancer / TRAIL

Research Projects
(1 results)
Research Products
(17 results)

Enhancing apoptosis of cancers using systems biology approachPrincipal Investigator
- Principal Investigator
  
  SELVARAJOO Kumar
- Project Period (FY)
  2013 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  System genome science
- Research Institution
  Keio University

All 2015 2014 2013 Other

All Journal Article Presentation Book

[Book] The Future of Scientific Practice2015
- Author(s)
  Selvarajoo K
- Total Pages
  17
- Publisher
  Pickering & Chatto, London, UK
- Data Source
  KAKENHI-PROJECT-25430184
[Book] Immuno Systems Biology: A macroscopic approach for immune cell signaling2013
- Author(s)
  Selvarajoo K
- Total Pages
  146
- Publisher
  Springer
- Data Source
  KAKENHI-PROJECT-25430184
[Journal Article] Measuring merit: Take the risk2015
- Author(s)
  Selvarajoo K
- Journal Title
  
  Science
  
  Volume: 347 Issue: 6218 Pages: 139-140
- DOI
  10.1126/science.347.6218.139-c
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25430184
[Journal Article] The reduction of gene expression variability from single cells to populations follows simple statistical laws2015
- Author(s)
  Piras V, Tomita M & Selvarajoo K
- Journal Title
  
  Genomics
  
  Volume: 105 Issue: 3 Pages: 137-144
- DOI
  10.1016/j.ygeno.2014.12.007
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25430184
[Journal Article] Can the Second Law of Thermodynamics Hold in Cell Cultures?2015
- Author(s)
  Selvarajoo K
- Journal Title
  
  Front. Genet.
  
  Volume: 6 (2015) Pages: 262-262
- DOI
  10.3389/fgene.2015.00262
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-25430184
[Journal Article] Systems Biology Strategy Reveals PKC-delta is Key for Sensitizing TRAIL-Resistant Human Fibrosarcoma2015
- Author(s)
  Hayashi K, Tabata S, Piras V, Tomita M & Selvarajoo K
- Journal Title
  
  Frontiers in Immunology
  
  Volume: 5 Pages: 659-659
- DOI
  10.3389/fimmu.2014.00659
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-25430184, KAKENHI-PROJECT-26870576
[Journal Article] Beyond MyD88 and TRIF in Toll-like Receptor Signaling2014
- Author(s)
  Piras V & Selvarajoo K
- Journal Title
  
  Frontiers in Immunology
  
  Volume: 5
- DOI
  10.3389/fimmu.2014.00070
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25430184
[Journal Article] Parameter-less Approaches for Interpreting Dynamic Cellular Response2014
- Author(s)
  Selvarajoo K
- Journal Title
  
  Journal of Biological Engineering
  
  Volume: 8 Issue: 1 Pages: 23-23
- DOI
  10.1186/1754-1611-8-23
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-25430184
[Journal Article] Transcriptome-wide Variability in Single Embryonic Development Cells2014
- Author(s)
  Piras V, Tomita M & Selvarajoo K
- Journal Title
  
  Scientific Reports
  
  Volume: 4 Issue: 1 Pages: 7137-7137
- DOI
  10.1038/srep07137
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-25430184
[Journal Article] Non-Genetic Adaptive Dynamics for Cellular Robustness2013
- Author(s)
  Selvarajoo K
- Journal Title
  
  Front. Genet.
  
  Volume: 4
- DOI
  10.3389/fgene.2013.00287
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25430184
[Journal Article] A Systems Biology Approach to Suppress TNF-induced Proinflammatory Gene Expressions2013
- Author(s)
  Hayashi, K., Piras, V., Sho, T., Tomita, M. & Selvarajoo, K.
- Journal Title
  
  Cell Communication and Signaling
  
  Volume: 11 : 84 Issue: 1
- DOI
  10.1186/1478-811x-11-84
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-11J06222, KAKENHI-PROJECT-25430184
[Journal Article] Interpreting the Dynamics and Patterns of Living Systems2013
- Author(s)
  Selvarajoo K
- Journal Title
  
  Bioscience
  
  Volume: 63 Issue: 9 Pages: 721-722
- DOI
  10.1093/bioscience/63.9.721
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25430184
[Presentation] Overcoming Cancer Treatment Resistance using Systems Biology Approaches.2015
- Author(s)
  Selvarajoo K
- Organizer
  The MGMS conference: Exploring Mechanisms in Biology
- Place of Presentation
  Bioinformatics Institute(Singapore)
- Year and Date
  2015-11-25
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25430184
[Presentation] Self-Organization of Cancer Cells is Key for Overcoming Therapeutics.2015
- Author(s)
  Selvarajoo K
- Organizer
  1st International Conference on Computational Modeling of Metabolic Health, Inflammation and Diabetes MMH 2015
- Place of Presentation
  University of Cambridge（Cambridge,ＵＫ）
- Year and Date
  2015-10-06
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25430184
[Presentation] Understanding Biological Noise in Cancer Signaling2013
- Author(s)
  Selvarajoo K
- Organizer
  10th International Conference on Innate Immunity (Aegean Conferences)
- Place of Presentation
  Kos, Greece
- Data Source
  KAKENHI-PROJECT-25430184
[Presentation] Emergent Properties in Cell Signaling and Transcriptome-wide Response.
- Author(s)
  Selvarajoo K
- Organizer
  5th International Conference on Computational Systems Biology and Bioinformatics
- Place of Presentation
  Singapore, Singapore
- Year and Date
  2014-11-10 – 2014-11-12
- Invited
- Data Source
  KAKENHI-PROJECT-25430184
[Presentation] Microscopic and Macroscopic Insights of Dynamic Cell Behavior
- Author(s)
  Selvarajoo K
- Organizer
  Multidisciplinary Approach Forum
- Place of Presentation
  Zao, Yamagata, Japan
- Year and Date
  2014-09-20 – 2014-09-21
- Invited
- Data Source
  KAKENHI-PROJECT-25430184

SELVARAJOO Kumar Selvarajoo Kumar

Research Projects

Research Products

Enhancing apoptosis of cancers using systems biology approachPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] The Future of Scientific Practice2015

Author(s)

Total Pages

Publisher

Data Source

[Book] Immuno Systems Biology: A macroscopic approach for immune cell signaling2013

Author(s)

Total Pages

Publisher

Data Source

[Journal Article] Measuring merit: Take the risk2015

Author(s)

Journal Title

DOI

Data Source

[Journal Article] The reduction of gene expression variability from single cells to populations follows simple statistical laws2015

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Can the Second Law of Thermodynamics Hold in Cell Cultures?2015

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Systems Biology Strategy Reveals PKC-delta is Key for Sensitizing TRAIL-Resistant Human Fibrosarcoma2015

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Beyond MyD88 and TRIF in Toll-like Receptor Signaling2014

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Parameter-less Approaches for Interpreting Dynamic Cellular Response2014

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Transcriptome-wide Variability in Single Embryonic Development Cells2014

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Non-Genetic Adaptive Dynamics for Cellular Robustness2013

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A Systems Biology Approach to Suppress TNF-induced Proinflammatory Gene Expressions2013

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Interpreting the Dynamics and Patterns of Living Systems2013

Author(s)

Journal Title

DOI

Data Source

[Presentation] Overcoming Cancer Treatment Resistance using Systems Biology Approaches.2015

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] Self-Organization of Cancer Cells is Key for Overcoming Therapeutics.2015

Author(s)

Organizer

Place of Presentation

Year and Date