about
Disruptive chemicals, senescence and immortalityEnvironmental immune disruptors, inflammation and cancer riskDisruptive environmental chemicals and cellular mechanisms that confer resistance to cell deathThe effect of environmental chemicals on the tumor microenvironmentThe potential for chemical mixtures from the environment to enable the cancer hallmark of sustained proliferative signallingThe impact of low-dose carcinogens and environmental disruptors on tissue invasion and metastasisCauses of genome instability: the effect of low dose chemical exposures in modern societyAssessing the carcinogenic potential of low-dose exposures to chemical mixtures in the environment: the challenge aheadAssessing the carcinogenic potential of low-dose exposures to chemical mixtures in the environment: focus on the cancer hallmark of tumor angiogenesisE-cigarettes induce toxicological effects that can raise the cancer risk.Chemical compounds from anthropogenic environment and immune evasion mechanisms: potential interactionsMechanisms of environmental chemicals that enable the cancer hallmark of evasion of growth suppression.Metabolic reprogramming and dysregulated metabolism: cause, consequence and/or enabler of environmental carcinogenesis?An improved classification of foci for carcinogenicity testing by statistical descriptors.Gene expression time-series analysis of camptothecin effects in U87-MG and DBTRG-05 glioblastoma cell lines.International regulatory needs for development of an IATA for non-genotoxic carcinogenic chemical substances.Cancer-related genes transcriptionally induced by the fungicide penconazole.Uncertainties of testing methods: What do we (want to) know about carcinogenicity?Identification of pathway-based toxicity in the BALB/c 3T3 cell model.Cytotoxic activity and transformation of BALB/c 3T3 cells in vitro by the insecticide acephate.Different sensitivity of BALB/c 3T3 cell clones in the response to carcinogens.Transformation of BALB/c 3T3 cells in vitro by the fungicides captan, captafol and folpet.BALB/c 3T3 cell transformation assay for the prediction of carcinogenic potential of chemicals and environmental mixtures.Dynamical properties of a boolean model of gene regulatory network with memory.A cDNA-microarray analysis of camptothecin resistance in glioblastoma cell lines.Moving forward in carcinogenicity assessment: Report of an EURL ECVAM/ESTIV workshop.Genetic safety evaluation of pesticides in different short-term tests.Cell-cell interaction and diversity of emergent behaviours.In vivo unwinding fluorimetric assay as evidence of the damage induced by fenarimol and DNOC in rat liver DNA.The Transformics Assay: First Steps for the Development of an Integrated Approach to Investigate the Malignant Cell Transformation in vitro.The micronucleus assay as a biological dosimeter in hospital workers exposed to low doses of ionizing radiation.Gene expression changes in medical workers exposed to radiation.The Diffusion of Perturbations in a Model of Coupled Random Boolean NetworksThe use of omics-based approaches in regulatory toxicology: an alternative approach to assess the no observed transcriptional effect levelAlternative Testing Methods for Predicting Health Risk from Environmental ExposuresToxicological Characterization of Waste-Related Products Using Alternative Methods: Three Case StudiesInformation Transfer among Coupled Random Boolean NetworksOn the dynamics of random Boolean networks subject to noise: Attractors, ergodic sets and cell typesThe simulation of gene knock-out in scale-free random Boolean models of genetic networksAngiopoietin-2 expression in B-cell chronic lymphocytic leukemia: association with clinical outcome and immunoglobulin heavy-chain mutational status
P50
Q27026235-5499855E-198A-4C2F-88B4-E452BBA523A9Q28080870-C534DBC2-392C-47F0-8F76-4142FA674A6CQ28080874-10850B13-03D2-4200-ABDA-1D082C42AE34Q28085138-572003E4-4510-4319-B4D7-4BC5FFA364EDQ28087571-B226F67C-2592-4275-A455-2346E414D786Q28388257-778EEB42-15E7-4B7E-B284-F2B9976A5A6FQ28388277-3F3AA708-8E49-457B-9A82-7DE88C7AFA39Q28397132-863F190C-31F9-41B9-965B-F046DE37BEB6Q28397726-C9BFEAB0-F24B-4938-8268-C24B63F3EB12Q33700530-419FABE4-3389-4501-B83D-B5DE831F31C7Q34477550-99AEA73C-6FDB-4013-8CC8-8DB9E9E9E70BQ34482050-730D8B41-3FB8-4E4D-A6B4-17F68F89FFFEQ34482056-78782CFA-019D-4EC1-BD92-CF30ED885AA3Q35693956-92F6EE94-7941-483E-9443-A771C8CDDA8AQ36916118-CE0682C2-9FE9-4729-BCB2-46A3F2663B83Q38800245-B88609F8-3C9D-4718-9571-9519E5C05303Q39133375-D063717E-66F2-418E-B96E-F3930A7DBF95Q39254261-498C8A39-DC15-4277-A166-B4AD11D4E9D3Q40239192-AD07E551-2DAD-4942-9594-157008AB389DQ42809032-F27074F1-2C9D-4002-8127-EFDCECAD3054Q42809430-57BDBCF2-1579-46B1-90DB-39AC6943F664Q42824112-A00CC724-DE05-4AC2-8068-3FD7E9446345Q42828559-8756E1AD-6F17-4AEB-9646-0D9F65E4214FQ46190364-0AA1392A-A54C-41C5-B652-BA89A57E8A67Q46852849-FD9E74E5-8B72-4F53-8D0C-5C06892CD4EAQ47110565-278EF523-7B9C-4775-BD1F-AE698A98B458Q50148599-396CD0BF-20A8-4091-AC70-70F435988520Q51592328-971927D3-171F-4A5A-9D21-8F506A8211E2Q52447697-722664CD-33BB-4772-A5EB-BDE64F04EDBBQ52648682-2BB4DF4B-9F15-48D5-8693-5EA268C7A73CQ53172814-5F0CC805-DF2D-4E2E-9A27-35E69620268CQ53306367-5DC82DD0-5B4E-4642-816D-80A0EDD3D43EQ57499625-3A9F2E2E-AFC9-4748-A25E-3FA0CA0EBFC9Q60584731-1C6D6C98-D907-4EBB-8B47-01BE8301D617Q60584732-A9030A2C-F62C-4357-AA3B-EA91C0ED6F04Q60584733-46B073DD-015F-4972-A5F0-392DCA15F635Q60584734-4D37D6FC-DE72-4EEB-B5C5-592936D3DF26Q60584735-B6A2A120-C0E3-40C4-AF0F-706B9C7AA170Q60584736-FEA3E2C2-C763-44CE-B4F4-7FD9CCC4F9F9Q60584738-A816EF65-006C-4786-8185-D22CE644823C
P50
description
hulumtuese
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Annamaria Colacci
@ast
Annamaria Colacci
@en
Annamaria Colacci
@es
Annamaria Colacci
@nl
Annamaria Colacci
@sl
type
label
Annamaria Colacci
@ast
Annamaria Colacci
@en
Annamaria Colacci
@es
Annamaria Colacci
@nl
Annamaria Colacci
@sl
prefLabel
Annamaria Colacci
@ast
Annamaria Colacci
@en
Annamaria Colacci
@es
Annamaria Colacci
@nl
Annamaria Colacci
@sl
P106
P1153
57200158437
P21
P31
P496
0000-0001-7426-6985