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Cytomics, Human Cytome Project & Predictive Medicine
Development of Concept
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= external links
2010
79.
A Tarnok, A Pierzchalski, G Valet.
Potential of a cytomics top-down strategy for drug discovery.
Curr Med Chem 17: 1719-1729(2010)
78.
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
77.
G.Valet. Concept development in flow cytometry.
In: eds U Sack, A Tarnok, G Rothe, Cellular diagnostics,
Karger Basel (2009), p 29-52
2007
76.
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
75.
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
74.
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
73.
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.
72.
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
71.
A Kriete.
Cytomics in the realm of systems biology.
Cytometry Part A 68A: 19-20 (2005)
(
PDF).
70.
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
69.
A Kriete, K Boyce.
Automated tissue analysis - a bioinformatics perspective.
Meth Inf Medicine 44: 32-37 (2005).
68.
RF Murphy.
Cytomics and location proteomics: automated interpretation of
subcellular patterns in fluorescence microscopy images.
Cytometry Part A 67A: 1-3 (2005)
(
PDF).
67.
L Wierzbicki.
Cytomics target the ubiquitine-proteasome route.
Biofutur 157: 16-17 (2005).
66.
RC Ecker, A Tarnok.
Cytomics goes 3D: towards tissomics.
Cytometry Part A 65A: 1-3 (2005)
(
PDF).
65.
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)
(
PDF).
64.
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).
63.
G Valet.
Human cytome project, cytomics and systems biology: the incentive
for new horizons in cytometry.
Cytometry Part A 64A: 1-2 (2005).
(
PDF).
62.
G Valet.
Cytomics: an entry to biomedical cell systems biology.
Cytometry Part A 63A: 67-68 (2005).
(
PDF).
2004
61.
METACYT: Metabolomics & Cytomics Initiative,
Funding.
Indiana University (2004).
60.
A Kriete.
Automated microscopy for tissomics.
GIT-Verlag. Imaging&Microscopy 3/2004
59.
G Coulton.
Are histochemistry and cytochemistry 'Omics'?
J Mol Histology 35: 603-613 (2004)
58.
A Tarnok.
New techniques for the human cytome project.
JBRHA 18: 92-95 (2004).
57.
G Valet, A Tarnok.
Potential and challenges of a human cytome project.
JBRHA 18: 87-91 (2004).
56.
G Valet.
Diagnostic versus predictive flow cytometry.
Lab Hematol 10: 166-168 (2004).
55.
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.
54.
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
53.
G Valet, JF Leary, A Tarnok.
Cytomics - new technologies: towards a human cytome project.
Cytometry Part A 59A: 167-171 (2004)
(
PDF).
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)
(
PDF).
51.
RC Ecker, GE Steiner.
Microscopy-based multicolor tissue cytometry at the single cell level.
Cytometry Part A 59A: 182-190 (2004)
(
PDF).
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)
(
PDF).
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)
(
PDF).
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)
(
PDF).
47.
H Ulrich, AHB Martins, JB Pesquero.
RNA and DNA aptamers in cytomics analysis.
Cytometry Part A 59A: 220-231 (2004)
(
PDF).
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)
(
PDF).
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)
(
PDF).
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)
(
PDF).
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)
(
PDF).
42.
B Rajwa, P Varadharajan, JP Robinson.
Cytomics of the future: advanced cytometry information system.
Cytometry Part A 59A: 60 (2004)
(
PDF).
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)
(
PDF).
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).
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)
(
PDF).
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)
(
PDF).
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)
(
PDF).
30.
CC Stewart, DL Cockfair, KM Hovey, KE Wende, DS Bell, CL Warner.
Predictive immunophenotypes: disease-realted profile in chronic fatigue syndrome.
Cytometry Part B: Clinical Cytometry 53B: 26-33 (2003)
(
PDF).
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)
(
PDF).
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)
(
PDF).
27.
F Babcock.
Predictive medicine: severe trauma and burns.
Cytometry Part B: Clinical Cytometry 53B: 48-53 (2003)
(
PDF).
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)
(
PDF).
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)
(
PDF).
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)
(
PDF).
23.
Peltri, N Bitterlich.
Increased predictive value of parameters by fuzzy logic-based multiparameter
analysis.
Cytometry Part B: Clinical Cytometry 53B: 75-77 (2003)
(
PDF).
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)
(
PDF).
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
2002
19.
G Valet.
Predictive medicine by cytomics: potential and challenges.
JBRHA 16:164-167 (2002)
18.
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
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.
G Valet.
Predictive medicine by cytometry:
( =
system cytometry
+
SMDC),
In: The Purdue Cytometry CD ROM, Ed: JP Robinson, Vol 5, Purdue University,
West Lafayette 2000, ISBN: 1-890475-05-7
12.
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)
(
abstract)
11.
M Chitty.
Omes- and Omics-glossary
2000
10.
G Valet.
Cytometry and human disease
(
3.Individual patient disease course predictions by standardized multiparameter
data classification (SMDC)) and
system cytometry
In: The Purdue Cytometry CD ROM, Ed: JP Robinson, Vol 5, ISBN: 1-890475-05-7
and Ed: J Watson, Vol 4, ISBN: 1-890473-03-0, Purdue University,
West Lafayette 2000 & 1998
(
examples)
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
(
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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Last update: Jun 07,2020
First display: Sep 16,2005