Evangelia Petsalaki

Dr. Evangelia Petsalaki

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2015 in Molecular Cell
Verified
Journal Article
Open access
TNTimothy J. Nott
Timothy J. Nott
EPEvangelia Petsalaki
Evangelia Petsalaki
PFPatrick Farber
Patrick Farber
DJDylan Jervis
Dylan Jervis
EFEden Fussner
Eden Fussner
ABAndrew J. Baldwin
Andrew J. Baldwin
Cells chemically isolate molecules in compartments to both facilitate and regulate their interactions. In addition to membrane-encapsulated compartments, cells can form proteinaceous and membraneless organelles, including nucleoli, Cajal and PML bodies, and stress granules. The principles that determine when and why these structures form have remained elusive. Here, we demonstrate that the disordered tails of Ddx4, a primary constituent of nuage or germ granules, form phase-separated organelles both in live cells and in vitro. These bodies are stabilized by patterned electrostatic interactions that are highly sensitive to temperature, ionic strength, arginine methylation, and splicing. Sequence determinants are used to identify proteins found in both membraneless organelles and cell adhesion. Moreover, the bodies provide an alternative solvent environment that can concentrate single-stranded DNA but largely exclude double-stranded DNA. We propose that phase separation of disordered proteins containing weakly interacting blocks is a general mechanism for forming regulated, membraneless organelles.

1 October 2010 in Trends in Biochemical Sciences
Verified
Journal Article
Closed access
CSChristian U. Stirnimann
Christian U. Stirnimann
EPEvangelia Petsalaki
Evangelia Petsalaki
RRRobert Bruce Russell
Robert Bruce Russell
CMChristoph W. Müller
Christoph W. Müller

16 October 2007 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
SGStefan Günther
Stefan Günther
MKMichael Kuhn
Michael Kuhn
MDMathias Dunkel
Mathias Dunkel
MCMonica Campillos
Monica Campillos
CSChristian Senger
Christian Senger
RPRobert Preissner
Robert Preissner
The molecular basis of drug action is often not well understood. This is partly because the very abundant and diverse information generated in the past decades on drugs is hidden in millions of medical articles or textbooks. Therefore, we developed a one-stop data warehouse, SuperTarget that integrates drug-related information about medical indication areas, adverse drug effects, drug metabolization, pathways and Gene Ontology terms of the target proteins. An easy-to-use query interface enables the user to pose complex queries, for example to find drugs that target a certain pathway, interacting drugs that are metabolized by the same cytochrome P450 or drugs that target the same protein but are metabolized by different enzymes. Furthermore, we provide tools for 2D drug screening and sequence comparison of the targets. The database contains more than 2500 target proteins, which are annotated with about 7300 relations to 1500 drugs; the vast majority of entries have pointers to the respective literature source. A subset of these drugs has been annotated with additional binding information and indirect interactions and is available as a separate resource called Matador . SuperTarget and Matador are available at http://insilico.charite.de/supertarget and http://matador.embl.de

1 August 2008 in Current Opinion in Biotechnology
Verified
Journal Article
Closed access
EPEvangelia Petsalaki
Evangelia Petsalaki
RRRobert Bruce Russell
Robert Bruce Russell

12 June 2024 in Nature Metabolism
Verified
Journal Article
Open access
PDF file
Michele VaccaMichele Vacca
Michele Vacca
IKIoannis Kamzolas
Ioannis Kamzolas
LHLea Mørch Harder
Lea Mørch Harder
FOFiona Oakley
Fiona Oakley
CTChristian Trautwein
Christian Trautwein
AVAntonio Vidal-Puig
Antonio Vidal-Puig
Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty liver disease, encompasses steatosis and metabolic dysfunction-associated steatohepatitis (MASH), leading to cirrhosis and hepatocellular carcinoma. Preclinical MASLD research is mainly performed in rodents; however, the model that best recapitulates human disease is yet to be defined. We conducted a wide-ranging retrospective review (metabolic phenotype, liver histopathology, transcriptome benchmarked against humans) of murine models (mostly male) and ranked them using an unbiased MASLD ‘human proximity score’ to define their metabolic relevance and ability to induce MASH-fibrosis. Here, we show that Western diets align closely with human MASH; high cholesterol content, extended study duration and/or genetic manipulation of disease-promoting pathways are required to intensify liver damage and accelerate significant (F2+) fibrosis development. Choline-deficient models rapidly induce MASH-fibrosis while showing relatively poor translatability. Our ranking of commonly used MASLD models, based on their proximity to human MASLD, helps with the selection of appropriate in vivo models to accelerate preclinical research.

27 July 2021 in Proteomics
Verified
Journal Article
Open access
PDF file
PWPaula Weidemüller
Paula Weidemüller
MKMaksim Kholmatov
Maksim Kholmatov
EPEvangelia Petsalaki
Evangelia Petsalaki
JZJudith B. Zaugg
Judith B. Zaugg
Transcription factors (TFs) are key regulators of intrinsic cellular processes, such as differentiation and development, and of the cellular response to external perturbation through signaling pathways. In this review we focus on the role of TFs as a link between signaling pathways and gene regulation. Cell signaling tends to result in the modulation of a set of TFs that then lead to changes in the cell's transcriptional program. We highlight the molecular layers at which TF activity can be measured and the associated technical and conceptual challenges. These layers include post‐translational modifications (PTMs) of the TF, regulation of TF binding to DNA through chromatin accessibility and epigenetics, and expression of target genes. We highlight that a large number of TFs are understudied in both signaling and gene regulation studies, and that our knowledge about known TF targets has a strong literature bias. We argue that TFs serve as a perfect bridge between the fields of gene regulation and signaling, and that separating these fields hinders our understanding of cell functions. Multi‐omics approaches that measure multiple dimensions of TF activity are ideally suited to study the interplay of cell signaling and gene regulation using TFs as the anchor to link the two fields.