about
Guidelines for the use and interpretation of assays for monitoring autophagyGuidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)Sumoylation delays the ATF7 transcription factor subcellular localization and inhibits its transcriptional activityQSOX1 inhibits autophagic flux in breast cancer cellsSUMO-1 modification of human transcription factor (TF) IID complex subunits: inhibition of TFIID promoter-binding activity through SUMO-1 modification of hsTAF5Interplay between ROS and autophagy in cancer cells, from tumor initiation to cancer therapyMitophagy mechanisms and role in human diseasesIdentification of HSP90 as a new GABARAPL1 (GEC1)-interacting proteinThe role of GABARAPL1/GEC1 in autophagic flux and mitochondrial quality control in MDA-MB-436 breast cancer cells.Specific distribution of the autophagic protein GABARAPL1/GEC1 in the developing and adult mouse brain and identification of neuronal populations expressing GABARAPL1/GEC1.Proximity Ligation In situ Assay is a Powerful Tool to Monitor Specific ATG Protein Interactions following Autophagy InductionThe autophagy GABARAPL1 gene is epigenetically regulated in breast cancer modelsDopamine and its metabolites in cathepsin D heterozygous mice before and after MPTP administration.Over-expression of an inactive mutant cathepsin D increases endogenous alpha-synuclein and cathepsin B activity in SH-SY5Y cells.GABARAPL1 (GEC1): original or copycat?Regulation of autophagy by protein post-translational modification.Galig, a novel cell death gene that encodes a mitochondrial protein promoting cytochrome c release.GABARAPL1 tumor suppressive function is independent of its conjugation to autophagosomes in MCF-7 breast cancer cells.
P50
Q21996341-446C9E33-7A57-487C-AAE2-6BC3F7DF9A53Q22676705-C9D52EA6-AB18-4885-B0F9-519AE693CF98Q24294867-17F6BF77-0A7B-457C-ACAC-2C7B51A3F276Q24324407-D4BE5406-1973-4CF9-8D1F-A52310311361Q24337572-6850C166-AEAC-42E3-B601-FC712B8E96DEQ28082347-2F689A02-9687-4265-8FA3-6F7539351C71Q28390998-9347CDAC-65C2-4027-AB6B-F1FDE9D54168Q28570410-0963C736-8AD7-4E0F-B0B4-FA701BB11E0FQ33878974-D5386881-35E4-413F-9316-67389552020CQ34730030-D55CF12A-8CCE-47C6-8D0F-C532C2D7B920Q35649628-85002C14-F671-4801-8662-0E5B5055AFEEQ35810837-07A67451-8426-429F-B111-BAFF9C638DA9Q36820984-75975883-9E87-45FC-B14D-4766B115FB76Q37633571-05D845E1-B257-404B-B4B7-62D2AC702F16Q37877486-E4C6E854-7BE4-4D4D-8F9B-98A4C6711FF9Q38264531-714CDAF5-8AB7-497E-AC60-B42BED9BAFABQ40488676-9113AC48-4294-4EE3-AC9B-7AAF6F6F30B3Q41348205-37B07F80-90E4-4FDF-A10C-6BCCC27212F2
P50
description
onderzoeker
@nl
name
Michaël Boyer-Guittaut
@ast
Michaël Boyer-Guittaut
@en
Michaël Boyer-Guittaut
@sl
type
label
Michaël Boyer-Guittaut
@ast
Michaël Boyer-Guittaut
@en
Michaël Boyer-Guittaut
@sl
prefLabel
Michaël Boyer-Guittaut
@ast
Michaël Boyer-Guittaut
@en
Michaël Boyer-Guittaut
@sl