Cytomics, Human Cytome Project & Predictive Medicine
Development of Concept



2010

80. A Tarnok, A Pierzchalski, G Valet. Potential of a cytomics top-down strategy for drug discovery. Curr Med Chem 17: 1719-1729(2010)
79. AOH Gerstner, G Valet. Cytomics and Predictive Medicine for Oncology. In: ed WCS Cho, An Omics Perspective on Cancer Research, Springer Heidelberg (2010), p 183-199

2009

78. G Valet. Concept development in flow cytometry. In: eds U Sack, A Tarnok, G Rothe, Cellular diagnostics, Karger Basel (2009), p 29-52

2007

77. G Valet. Prädiktivmedizin mittels Zytomik: Möglichkeiten der Datenmusteranalyse. In: Angewandte Durchflusszytometrie. Eds: U Sack, A Tarnok, G Rothe. Karger Verlag, Basel (2007) p 237-250
76. G Valet. Die Durchflusszytometrie im Wandel der Forschungskonzepte. In: Angewandte Durchflusszytometrie. Eds: U Sack, A Tarnok, G Rothe. Karger Verlag, Basel (2007) p 1-26

2006

75. M de Bernardi, SM Hewitt, A Kriete. Automated confocal imaging and high-content screening for cytomics. In: Handbook of Biological Confocal Microscopy. Ed: J Pawley. 3rd edition, Springer, New York (2006) in press
74. A Ghosh, D Miller, B Sokhansanj, A Kriete. Spatio-temporal systems biology. In: Computational Systems Biology. Eds: A Kriete, R Eils, Elsevier, Amsterdam 2006, p 327-362.
73. G Valet, RF Murphy, JP Robinson, A Tarnok, A Kriete. Cytomics - from cell states to predictive medicine. In: Computational Systems Biology. Eds: A Kriete, R Eils, Elsevier, Amsterdam 2006, p 363-382

2005

72. A Kriete. Cytomics in the realm of systems biology. Cytometry Part A 68A: 19-20 (2005).
71. G Valet. Human cytome project: A new potential for drug discovery. In: Las Omicas genomica, poteomica, citomica y metabolomica: modernas tecnologias para desarrollo de farmacos. Ed: Real Academia Nacional de Farmacia, Madrid 2005 p 207-228
70. A Kriete, K Boyce. Automated tissue analysis - a bioinformatics perspective. Meth Inf Medicine 44: 32-37 (2005).
69. RF Murphy. Cytomics and location proteomics: automated interpretation of subcellular patterns in fluorescence microscopy images. Cytometry Part A 67A: 1-3 (2005).
68. L Wierzbicki. Cytomics target the ubiquitine-proteasome route. Biofutur 157: 16-17 (2005).
67. RC Ecker, A Tarnok. Cytomics goes 3D: towards tissomics. Cytometry Part A 65A: 1-3 (2005).
66. D Lenz, MJ Barten, S Hiller. A Tarnok, U Sack. Regenerative and predictive medicine of cardiovascular disease: the 9th Leipziger Workshop and the 2nd International Workshop on Slide Based Cytometry. Cytometry Part A 64A: 110-114 (2005).
65. G Valet. Cytomics, human cytome project and systems biology: top-down resolution of the molecular biocomplexity of organisms by single cell analysis. Cell Proliferation 38: 171-174 (2005).
64. G Valet. Human cytome project, cytomics and systems biology: the incentive for new horizons in cytometry. Cytometry Part A 64A: 1-2 (2005).
63. G Valet. Cytomics: an entry to biomedical cell systems biology. Cytometry Part A 63A: 67-68 (2005).


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2004

62. METACYT: Metabolomics & Cytomics Initiative, Funding. Indiana University (2004).
61. A Kriete. Automated microscopy for tissomics. GIT-Verlag. Imaging&Microscopy 3/2004
60. G Coulton. Are histochemistry and cytochemistry 'Omics'? J Mol Histology 35: 603-613 (2004)
59. A Tarnok. New techniques for the human cytome project. JBRHA 18: 92-95 (2004).
58. G Valet, A Tarnok. Potential and challenges of a human cytome project. JBRHA 18: 87-91 (2004).
57. G Valet. Diagnostic versus predictive flow cytometry. Lab Hematol 10: 166-168 (2004).
56. A Tarnok, GK Valet. Cytomics in predictive medicine. In: Advanced Biomedical and Clinical Diagnostic Systems II. Eds: GE Cohn, WS Grundfest, DA Benaron, T Vo-Dinh, Proceedings SPIE, Bellingham, WA 2004, Vol 5318, p 12-22.
55. G Valet. Predictive medicine by cytomics. In: The Purdue Cytometry CD ROM, Ed: JP Robinson, Vol 8, Purdue University, West Lafayette 2004, ISBN: 1-890473-C6-5
external link 54. Special Issue: Editors G Valet, JF Leary, A Tarnok. Cytomics—New Technologies: Towards a Human Cytome Project. Cytometry Part 59A:(2) Pages: 167-262 June 2004.
53. 53. G Valet, JF Leary, A Tarnok. Cytomics - new technologies: towards a human cytome project. Cytometry Part A 59A: 167-171 (2004).
52. RC Ecker, R de Martin, GE Steiner, JA Schmid. Application of spectral imaging microscopy in cytomics and fluorescence resonance energy transfer (FRET) analysis. Cytometry Part A 59A: 172-181 (2004)
51. RC Ecker, GE Steiner. Microscopy-based multicolor tissue cytometry at the single cell level. Cytometry Part A 59A: 182-190 (2004)-
50. P Szaniszlo, N Wang, M Sinha, LM Reece, JW van Hook, BA Luxon, JF Leary. Getting the right cells to the array: gene expression microarray analysis of cell mixtures and sorted cells. Cytometry Part A 59A: 191-202 (2004)
49. B Lincoln, HM Erickson, S Schinkinger, F Wottawah, D Mitchell, S Ulvick, C Bilby, J Guck. Deformability - based flow cytometry. Cytometry Part A 59A: 203-209 (2004).
48. AOH Gerstner, C TRumpfheller, P Racz, P Osmancik, K Tenner-Racz, A Tarnok. Quantitative histology by multicolor slide-based cytometry. Cytometry Part A 59A: 210-219 (2004).
47. H Ulrich, AHB Martins, JB Pesquero. RNA and DNA aptamers in cytomics analysis. Cytometry Part A 59A: 220-231 (2004).
46. GK Valet, HG Hoeffkes. Data pattern analysis for the individualized pretherapeutic identification of high-risk diffuse large B-cell lymphoma (DLBCL) patients by cytomics. Cytometry Part A 59A: 232-236 (2004).
45. TC George, DA Basiji, BE Hall, DH Lynch, WE Ortyn, DJ Perry, MJ Seo, CA Zimmerman, PJ Morrissey. Distinguishing modes of cell death using the ImageStream multispectral flow cytometer. Cytometry Part A 59A: 237-245 (2004).
44. Z Palkova, L Vachova, M Valer, T Preckel. Single-cell analysis of yeast, mammamlian cells, and fungal spores with a microfluidic pressure driven chip-based system. Cytometry Part A 59A: 246-253 (2004).
43. TB Taylor, PR Nambiar, R Raja, E Cheung, DW Rosenberg, B Anderegg. Microgenomics: Identification of new expression profiles via small and single-cell sample analysis. Cytometry Part A 59A: 254-261 (2004).
42. B Rajwa, P Varadharajan, JP Robinson. Cytomics of the future: advanced cytometry information system. Cytometry Part A 59A: 60 (2004).
41. G Valet, A Tarnok. Cytomics and predictive medicine. In: Business Briefing: Future Drug Discovery 2004, Ed: E Cooper, World Markets Research Center Ltd, London 2004, p 1-3.
40. G Valet. Predictive medicine by cytomics and the challenges of a human cytome project. In: Business Briefing: Future Drug Discovery 2004, Ed: E Cooper, World Markets Research Center Ltd, London (2004) p 46-51.
39. T Furuya, K Ikemoto, S Kawauchi, A Oga, S Tsunoda, T Hirano, K Sasaki. A novel technology allowing immunohistochemical staining of a tissue section wit 50 different antibodies in a single experiment. J Histochem Cytochem 52: 205-210 (2004)
38. G Janossy. Clinical flow cytometry, a hypothesis-driven discipline of modern cytomics. Cytometry Part A 58A: 87-97 (2004).


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2003

37. G Valet Human cytome project.
36. P van Osta. Human cytome project ( #1, #2, #3)
35. G Valet. Past and present concepts in flow cytometry: A European perspective. JBRHA 17: 213-222 (2003)
34. G Valet, A Tarnok. Cytomics in predictive medicine. Cytometry Part B: Clinical Cytometry 53B: 1-3 (2003).
Data pattern classification (33.) as well as stratification (32.) of the same patients:
33. G Valet, R Repp, H Link, G Ehninger, M Gramatzki. Pretherapeutic identification of high-risk acute myeloid leukemia (AML) patients from immunophenotypic, cytogenetic, and clinical parameters. Cytometry Part B: Clinical Cytometry 53B: 4-10 (2003).
external link 32. R Repp, U Schaekel, G Helm, C Thiede, S Soucek, U Pascheberg, H Wandt, W Aulitzky, H Bodenstein, R Sonner, H Link, G Ehninger, M Gramatzki. Immunophenotyping is an independent factor for risk stratification in AML. Cytometry Part B: Clinical Cytometry 53B: 11-19 (2003).
31. AOH Gerstner, AK Müller, J Machlitt, A Tarnok, A Tannapfel, A Weber, F Bootz. Slide-based cytometry for predicting malignancy in solid salivary gland tumors by fine needle aspirate biopsies. Cytometry Part B: Clinical Cytometry 53B: 20-25 (2003).
30. CC Stewart, DL Cockfair, KM Hovey, KE Wende, DS Bell, CL Warner. Predictive immunophenotypes: disease-related profile in chronic fatigue syndrome. Cytometry Part B: Clinical Cytometry 53B: 26-33 (2003).
29 D Lenz, J Hambsch, P Schneider, A Tarnok. Protein-losing enteropathy after Fontan surgery: is assessment of risk patients with immunological data possible ? Cytometry Part B: Clinical Cytometry 53B: 34-39 (2003).
28. TW Orlikowski, B Spring, GE Dannecker, D Niethammer, CF Poets, MK Hoffmann. Expression and regulation of B7 family molecules on macrophages (M-Phi) in preterm and term neonatal cord blood and peripheral blood of adults Cytometry Part B: Clinical Cytometry 53B: 40-47 (2003).
external link 27. F Babcock. Predictive medicine: severe trauma and burns. Cytometry Part B: Clinical Cytometry 53B: 48-53 (2003).
26. JC Strohmeyer, C Blume, C Meisel, WD Doecke, M Hummel, C Hoeflich, K Thiele, A Unbehaun, R Hetzer, HD Volk. Standardized immune monitoring for the prediction of infections after cardiopulmonary baypass surgery in risk patients. Cytometry Part B: Clinical Cytometry 53B: 54-62 (2003).
25. K Rahimi, HK Maerz, RJ Zotz, A Tarnok. Pre-procedural expression of Mac-1 and LFA-1 on leukocytes for prediction of late restenosis and their possible correlation with advanced coronary artery disease. Cytometry Part B: Clinical Cytometry 53B: 63-69 (2003).
24. M Rothenburger, TTDT Tjan, M Schneider, E Berendes, C Schmid, MJ Wilhelm, D Böcker, HH Scheid, R Soeparwata. The impact of the pro- and anti-inflammatory immune response on ventilation time after cardiac surgery. Cytometry Part B: Clinical Cytometry 53B: 70-74 (2003).
23. Peltri, N Bitterlich. Increased predictive value of parameters by fuzzy logic-based multiparameter analysis. Cytometry Part B: Clinical Cytometry 53B: 75-77 (2003).
22. T Peschel, J Niebauer. Role of pro-atherogenic adhesion molecules and inflammatory cytokines in patients with coronarry artery disease and diabetes mellitus type 2. Cytometry Part B: Clinical Cytometry 53B: 78-85 (2003).
21. G Valet, J Cornelissen, G Lamers, J Gratama. Predictive medicine by cytomics: Identification of high risk patients in bone marrow stem cell transplantation. Cytometry Part B: Clinical Cytometry 54B: 62-63 (2003).
20. G Valet. Predictive medicine by cytomics, In: The Purdue Cytometry CD ROM, Ed: JP Robinson, Vol 7, Purdue University, West Lafayette 2003, ISBN: 0-97117498-8-4
19. G Valet. Cytomics, from prognostic to predictive medicine. In: Cytomics, Ed: JP Robinson, Cytometry CD Vol.7, Purdue University, West Lafayette, (2002) ISBN 0-9717498-8-4

2002

18. G Valet. Predictive medicine by cytomics: potential and challenges. JBRHA 16:164-167 (2002)
17. J Bocsi, J Hambsch, P Osmancik, P Schneider, G Valet, A Tarnok. Preoperative prediction of pediatric patients with effusions and edema following cardiopulmonary bypass surgery by serological and routine laboratory data. Critical Care 6: 226-233 (2002)
16. G Valet. Predictive medicine by cytomics, In: The Purdue Cytometry CD ROM, Ed: JP Robinson, Vol 6, Purdue University, West Lafayette 2002, ISBN: 0-97117498-3-3

2001

15. A Tarnok, J Bocsi, M Pipek, P Osmancik, G Valet, P Schneider, J Hambsch. Preoperative prediction of postoperative edema and effusion in pediatric cardiac surgery by altered antigen expression patterns on granulocytes and monocytes. Cytometry(Comm.Clin.Cytom.) 46: 247-253 (2001)
14. G Valet, H Kahle, F Otto, E Bräutigam, L Kestens. Prediction and precise diagnosis of diseases by data pattern analysis in multiparameter flow cytometry: Melanoma, juvenile asthma and human immunodeficiency virus infection. Methods in Cell Biology 64: 487-508 (2001).
13. E Davies, B Stankovic, K Azama, K Shibata, S Abe. Novel components of the plant cytoskeleton: a beginning to plant 'cytomics'. Plant Sci 160:185-190 (2001) (external link abstract)
12. M Chitty. external link Omes- and Omics-glossary

2000

11. G Valet. Predictive medicine by cytomics: system cytometry ( SMDC), In: The Purdue Cytometry CD ROM, Ed: JP Robinson, Vol 5, Purdue University, West Lafayette 2000, ISBN: 1-890475-05-7
10. G Valet. Cytometry and human disease ( 3.Individual patient disease course predictions by standardized multiparameter data classification (SMDC)) and system cytometry system cytometry ( examples) In: The Purdue Cytometry CD ROM, Ed: JP Robinson, Vol 5, ISBN: 1-890475-05-7 West Lafayette 2000

1999

9. BEM Van Driel, G Valet. A Lyon, U Hansen, JY Song,CJF Van Noorden. Prognostic estimation of survival of colo-rectal cancer patients with the quantitative histochemical assay of G6PDH activity and the multiparameter classification program CLASSIF1. Cytometry(CCC) 38:176-183 (1999).

1998

 8. GK Valet, G Roth, W Kellermann. Risk assessment for intensive care patients by automated classification of flow cytometric data. In: Phagocyte Function, Eds. JP Robinson, GF Babcock, Wiley-Liss Inc, New York 1998, p 289-306
7. G Valet. Cytometry and Human Disease ( 3. Individual patient prognosis by standardized multiparameter data classification (SMDC) and system cytometry). In: The Purdue Cytometry CD ROM, Ed: J Watson, Purdue University, West Lafayette 1997, Vol 4, ISBN: 1-890473-03-0 ( examples)

1997

6. G Valet. Human disease ( 3. Individual patient prognosis by standardized multiparameter data classification (SMDC) and system cytometry). In: The Purdue Cytometry CD ROM, Eds: J Parker, CS Stewart, Purdue University, West Lafayette 1997, Vol 3, ISBN: 1-890473-02-2 ( examples)

1996

5. G Valet. Human disease ( 3. Individual patient prognosis by standardized multiparameter data classification (SMDC)), In: The Purdue Cytometry CD ROM, Ed: JP Robinson, Purdue University, West Lafayette 1996, Vol 2, ISSN: 1091-2037 (external link examples)
4. G Valet. Human disease ( 3. Individual patient diagnosis and prognosis by multiparameter data analysis). In: The Purdue Cytometry CD ROM, Ed: JP Robinson, Purdue University, West Lafayette 1996, Vol 1, ISBN: none ( examples)

1993

3. G Valet, M Valet, D Tschöpe, H Gabriel, G Rothe, W Kellermann, H Kahle. White cell and thrombocyte disorders: Standardized, self-learning flow cytometric list mode data classification with the CLASSIF1 program system. Ann NY Acad Sci 677: 233-251 (1993)

1990

2. G Rothe, W Kellermann, G Valet. Flow cytometric parameters of neutrophil function as early indicators of sepsis- or trauma-related pulmonary or cardiovascular organ failure. J Lab Clin Invest 115: 52-61 (1990)

1987

1. G Valet, HH Warnecke, H Kahle. Automated diagnosis of malignant and other abnormal cells by flow-cytometry using the newly developed DIAGNOS1 program system. In: Proc Int Symp Histometry 1986, Eds: G Burger, B Ploem, K Goerttler, Academic Press, London 1987, p 58-67

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