about
A benchmark for chromatin binding measurements in live cells.Single-molecule analysis of transcription factor binding at transcription sites in live cells.Purkinje neuron Ca2+ influx reduction rescues ataxia in SCA28 modelSingle molecule tracking of Ace1p in Saccharomyces cerevisiae defines a characteristic residence time for non-specific interactions of transcription factors with chromatinEpilepsy and intellectual disability linked protein Shrm4 interaction with GABABRs shapes inhibitory neurotransmissionPhotoactivation of pa-GFP in 3D: optical tools for spatial confinement.A new FRAP/FRAPa method for three-dimensional diffusion measurements based on multiphoton excitation microscopy.Fractal geometry in the nucleusSingle-molecule analysis of steroid receptor and cofactor action in living cells.FRAP and kinetic modeling in the analysis of nuclear protein dynamics: what do we really know?A dynamic study of protein secretion and aggregation in the secretory pathway.Fast transcription rates of RNA polymerase II in human cells.Minimizing the impact of photoswitching of fluorescent proteins on FRAP analysisSteroid Receptors Reprogram FoxA1 Occupancy through Dynamic Chromatin Transitions.Direct measurement of association and dissociation rates of DNA binding in live cells by fluorescence correlation spectroscopy.Quantifying transcription factor kinetics: at work or at play?Fluorescence-Based Automated Screening Assay for the Study of the pH-Sensitive Channel ASIC1a.Live-cell p53 single-molecule binding is modulated by C-terminal acetylation and correlates with transcriptional activity.Scc2/Nipbl hops between chromosomal cohesin rings after loadingReticulon 3-dependent ER-PM contact sites control EGFR nonclathrin endocytosis.Convergence of chromatin binding estimates in live cells.Monitoring dynamic binding of chromatin proteins in vivo by fluorescence correlation spectroscopy and temporal image correlation spectroscopy.Monitoring dynamic binding of chromatin proteins in vivo by fluorescence recovery after photobleaching.Understanding biological dynamics: following cells and molecules to track functions and mechanisms.Heteronanoparticles by self-Assembly of Doxorubicin and Cyclopamine Conjugates.Encapsulated living cells on microstructured surfaces.Role of three-dimensional bleach distribution in confocal and two-photon fluorescence recovery after photobleaching experiments.Blue-light (488nm)-irradiation-induced photoactivation of the photoactivatable green fluorescent proteinThe COP9 signalosome is a repressor of replicative stress responses and polyploidization in the regenerating liverSingle-molecule dynamics and genome-wide transcriptomics reveal that NF-kB (p65)-DNA binding times can be decoupled from transcriptional activationPathogenic variants in the AFG3L2 proteolytic domain cause SCA28 through haploinsufficiency and proteostatic stress-driven OMA1 activationLPS-Challenged Macrophages Release Microvesicles Coated With HistonesThe ERC1 scaffold protein implicated in cell motility drives the assembly of a liquid phaseMeasuring Mobility in Chromatin by Intensity-Sorted FCSMonitoring Transcription Factor Oligomerization in Single Living Cells by Number and Brightness AnalysisCombinatorial allosteric modulation of agonist response in a self-interacting G-protein coupled receptorCyclopamine-Paclitaxel-Containing Nanoparticles: Internalization in Cells Detected by Confocal and Super-Resolution Microscopy
P50
Q30524321-7DEFED05-58C0-4DC0-9FB7-0F9D5D566B84Q30586293-9F01C394-E730-4B8A-BAA6-464149C4361CQ30634641-7956F289-E6BD-4289-B9A3-FA96547C3B2EQ30830817-2CC3E6E0-67F4-4509-AD2F-7C795D9CA69EQ30841272-1537CCFF-2304-4AF4-8006-687F9DE6378EQ33326437-59DB6A8C-6A10-4288-A06E-348F525D0BEEQ33351268-E29B2C39-BA09-4101-B8CE-56D3E19E2EA5Q33598475-37FDEE42-1211-4AE2-AC7C-5F4A88982368Q33827904-1D75E897-3117-49E2-9482-BA9207EEC595Q34047816-9428F2D4-9AB2-4AC6-9D80-BE8847D3D2F3Q35298457-944A49F0-853F-4D3D-8567-C5619CCAA827Q35632803-A319B43F-6995-44F2-B6CC-C712C20AB319Q35866772-011E4B49-4765-4B2C-86E8-1D6BE59CD216Q35985045-6B9A0AA7-2B73-45AC-B1AA-FBD2DA86740FQ37263417-AD749090-DDF1-489D-8CF8-8E08C96ABCECQ38136333-2906651D-7C07-4C0A-8580-9583ABBAB0A1Q38817407-95BA9C7F-22A8-4565-AE95-C986594EC96BQ41488339-48371022-9F01-4908-8EC8-81AD555147E3Q42367617-A11E832A-B1CC-4102-8724-AA39FAABFAB6Q43223223-E8553B2A-CCED-44C4-BF35-D1D00DA2801BQ43513966-8805AFC0-EF85-4740-AACA-4F336BA4F5F8Q43603998-316B7C58-B17B-4CDB-B6EE-FAE5E62FD413Q46135683-E28F9C21-B98D-4295-AB64-FDC2033653BDQ48851417-355E42F8-D0A2-4C93-92E7-F49B6785CEAEQ49838224-21EABEA4-07BE-4588-9D62-89B9937D1BF8Q50781338-C2CF3F7A-E67C-4085-9C49-4B8ADA6416B4Q50880982-6A018ACD-5BCF-4113-8685-1000B12773A9Q57985549-EAF80328-FC57-4FD6-BE19-670FE80B3921Q58882257-1AE4AA2D-4E8F-4BCE-9595-7FFD4C59244DQ61814665-37012156-658C-4402-A17A-CED7C600CF37Q62711976-2872F9DE-AD52-4695-BCE8-B4BDA1AC0318Q89576485-0FB28436-6AF4-4FE8-ADF0-C7A6C65A6DF4Q90183407-01263F83-3A13-4F9E-9FB6-BD4E80911E1EQ92020144-F27C2D3C-D0A0-4AE4-97B0-53C564914978Q92585050-7ACB0BF8-38C8-4714-AE30-4BE9EEB85643Q92669282-565AC19A-A4F6-444A-8C35-863B2C9B64B1Q92883674-FB09A01C-15FA-47B7-914A-99F5AD3D3AA8
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Davide Mazza
@ast
Davide Mazza
@en
Davide Mazza
@es
Davide Mazza
@nl
Davide Mazza
@sl
type
label
Davide Mazza
@ast
Davide Mazza
@en
Davide Mazza
@es
Davide Mazza
@nl
Davide Mazza
@sl
altLabel
Mazza D
@en
prefLabel
Davide Mazza
@ast
Davide Mazza
@en
Davide Mazza
@es
Davide Mazza
@nl
Davide Mazza
@sl
P1053
R-5340-2016
P106
P1153
7006691131
P2798
P31
P4012
P496
0000-0003-2776-4142