Cell Signaling to Systems biology

Amit K Tiwari

doi:10.14259/cs.v1i1.38

Faculty Opinions recommendation of Systems biology. Conditional density-based analysis of T cell signaling in single-cell data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.723891088.793520867 ◽

2016 ◽

Author(s):

Anuj Kumar

Keyword(s):

Systems Biology ◽

T Cell ◽

Cell Signaling ◽

Single Cell ◽

Conditional Density ◽

T Cell Signaling ◽

Cell Data

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Systems Biology and grid technologies: Challenges for understanding complex cell signaling networks

Future Generation Computer Systems ◽

10.1016/j.future.2006.10.001 ◽

2007 ◽

Vol 23 (3) ◽

pp. 428-434 ◽

Cited By ~ 4

Author(s):

Irina Strizh ◽

Alexei Joutchkov ◽

Nikolay Tverdokhlebov ◽

Sergey Golitsyn

Keyword(s):

Systems Biology ◽

Cell Signaling ◽

Signaling Networks ◽

Complex Cell ◽

Cell Signaling Networks

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Systems Biology Studies of Gene Network and Cell Signaling Pathway in Cancer Research

Translational Bioinformatics - Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases ◽

10.1007/978-94-007-7975-4_6 ◽

2013 ◽

pp. 109-129

Author(s):

Junbai Wang ◽

Ben Davidson ◽

Tianhai Tian

Keyword(s):

Cancer Research ◽

Systems Biology ◽

Cell Signaling ◽

Signaling Pathway ◽

Gene Network ◽

Cell Signaling Pathway

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OPTIMAL DYNAMIC EXPERIMENTAL DESIGN IN SYSTEMS BIOLOGY: APPLICATIONS IN CELL SIGNALING.

IFAC Proceedings Volumes ◽

10.3182/20070604-3-mx-2914.00081 ◽

2007 ◽

Vol 40 (4) ◽

pp. 73-78

Author(s):

Eva Balsa-Canto ◽

Antonio A. Alonso ◽

Julio R. Banga

Keyword(s):

Systems Biology ◽

Experimental Design ◽

Cell Signaling ◽

Optimal Dynamic

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Cross-Species scRNAseq Systems Biology Analysis of Cell-Cell Signaling in Lung

10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a6073 ◽

2019 ◽

Author(s):

M.S.B. Raredon ◽

T. Adams ◽

J.C. Schupp ◽

Y. Suhail ◽

K.L. Leiby ◽

...

Keyword(s):

Systems Biology ◽

Cell Signaling ◽

Cell Cell

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Multi-Target Approaches in Colon Cancer Chemoprevention Based on Systems Biology of Tumor Cell-Signaling

Gene Regulation and Systems Biology ◽

10.4137/grsb.s486 ◽

2008 ◽

Vol 2 ◽

pp. GRSB.S486 ◽

Cited By ~ 2

Author(s):

Suresh Guruswamy ◽

Chinthalapally V. Rao

Keyword(s):

Colon Cancer ◽

Systems Biology ◽

Tumor Cell ◽

Cell Signaling ◽

Cancer Chemoprevention

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Cell signaling and systems biology

Fundamentals of Molecular Structural Biology ◽

10.1016/b978-0-12-814855-6.00016-x ◽

2020 ◽

pp. 433-448

Author(s):

Subrata Pal

Keyword(s):

Systems Biology ◽

Cell Signaling

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A systems biology approach to the pathogenesis of obesity-related nonalcoholic fatty liver disease using reverse phase protein microarrays for multiplexed cell signaling analysis

Hepatology ◽

10.1002/hep.21688 ◽

2007 ◽

Vol 46 (1) ◽

pp. 166-172 ◽

Cited By ~ 35

Author(s):

Valerie S. Calvert ◽

Rochelle Collantes ◽

Hazem Elariny ◽

Arian Afendy ◽

Ancha Baranova ◽

...

Keyword(s):

Liver Disease ◽

Systems Biology ◽

Cell Signaling ◽

Fatty Liver ◽

Nonalcoholic Fatty Liver Disease ◽

Fatty Liver Disease ◽

Protein Microarrays ◽

Reverse Phase ◽

Nonalcoholic Fatty Liver ◽

Phase Protein

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Combining integrated systems-biology approaches with intervention-based experimental design provides a higher-resolution path forward for microbiome research

Behavioral and Brain Sciences ◽

10.1017/s0140525x18002911 ◽

2019 ◽

Vol 42 ◽

Author(s):

J. Alfredo Blakeley-Ruiz ◽

Carlee S. McClintock ◽

Ralph Lydic ◽

Helen A. Baghdoyan ◽

James J. Choo ◽

...

Keyword(s):

Systems Biology ◽

High Resolution ◽

Experimental Design ◽

Integrated Systems ◽

Microbiome Research ◽

Constructive Criticism

Abstract The Hooks et al. review of microbiota-gut-brain (MGB) literature provides a constructive criticism of the general approaches encompassing MGB research. This commentary extends their review by: (a) highlighting capabilities of advanced systems-biology “-omics” techniques for microbiome research and (b) recommending that combining these high-resolution techniques with intervention-based experimental design may be the path forward for future MGB research.

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Systems Biology

10.1017/cbo9780511736179 ◽

2009 ◽

Cited By ~ 33

Author(s):

Bernhard O. Palsson ◽

Marc Abrams

Keyword(s):

Systems Biology

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