Cytomics

Cytomics is the study of cell biology (cytology) and biochemistry in cellular systems at the single cell level.[1][2][3] It combines all the bioinformatic knowledge to attempt to understand the molecular architecture and functionality of the cell system (Cytome). Much of this is achieved by using molecular and microscopic techniques that allow the various components of a cell to be visualised as they interact in vivo.

Cells shown with immunostaining observed with a confocal microscope.

Cytome

Cytomes are the cellular systems, subsystems, and functional components of the body. The cytome is the collection of the complex and dynamic cellular processes (structure and function) underlying physiological processes. It describes the structural and functional heterogeneity of the cellular diversity of an organism.

Human Cytome Project

The Human Cytome Project is aimed at the study of the biological system structure and function of an organism at the cytome level.[4]

gollark: True, they did kind of break `map`/`filter`.
gollark: Like `itertools`.
gollark: Python does have a decent set of those in the many, many random libraries.
gollark: Stuff like complex type systems and compilation often get in the way of random bodging.
gollark: Like my random collection of text manipulation scripts.

See also

References

  1. Davies, Eric; Stankovic, Bratislav; Azama, Kishu; Shibata, Koichi; Abe, Shunnosuke (2001). "Novel components of the plant cytoskeleton: a beginning to plant 'cytomics'". Plant Science. 160 (2): 185–196. doi:10.1016/S0168-9452(00)00365-4. ISSN 0168-9452.
  2. Valet, Günter (2005). "Cytomics: An entry to biomedical cell systems biology". Cytometry Part A. 63A (2): 67–68. doi:10.1002/cyto.a.20110. ISSN 1552-4922.
  3. Valet, Günter K.; Tárnok, Attila (2003). "Cytomics in predictive medicine". Cytometry Part B: Clinical Cytometry. 53B (1): 1–3. doi:10.1002/cyto.b.10035. ISSN 1552-4949. PMID 12717684.
  4. Valet G., Predictive medicine by cytomics and the challenges of a human cytome project, Business Briefing: Future Drug Discovery 2004, Ed: E Cooper, World Markets Research Center Ltd, London, 2004; 46-51.

Further reading

  • Bernas T., Gregori G., Asem E. K., Robinson J. P., Integrating cytomics and proteomics, Mol Cell Proteomics. 2006 Jan;5(1):2-13.
  • Herrera G., Diaz L., Martinez-Romero A., Gomes A., Villamon E., Callaghan R. C., O'connor J. E., Cytomics: A multiparametric, dynamic approach to cell research, Toxicol In Vitro. 2006 Jul 22.
  • Kriete A., Cytomics in the realm of systems biology, Cytometry A. 2005 Nov;68(1):19-20.
  • Murphy R. F., Cytomics and location proteomics: automated interpretation of subcellular patterns in fluorescence microscope images, Cytometry A. 2005 Sep;67(1):1-3.
  • Schubert W., Cytomics in characterizing toponomes: towards the biological code of the cell, Cytometry A. 2006 Apr;69(4):209-11.
  • Van Osta P., Ver Donck K., Bols L., Geysen J., Cytomics and drug discovery., Cytometry A. 2006 Mar;69(3):117-8.
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