Publications by authors named "Tamas Kadlecsik"

Macroautophagy/autophagy is a highly-conserved catabolic procss eliminating dysfunctional cellular components and invading pathogens. Autophagy malfunction contributes to disorders such as cancer, neurodegenerative and inflammatory diseases. Understanding autophagy regulation in health and disease has been the focus of the last decades.

View Article and Find Full Text PDF
Article Synopsis
  • - Signaling networks are crucial for understanding how cells respond to various stimuli, but existing databases often lack comprehensive information on these complex pathways.
  • - SignaLink3 is a new, extensive knowledge-base that offers curated data on human signaling pathways and integrates various types of related information for humans and three key animal models.
  • - The database includes over 700,000 protein-protein interactions, regulatory details for specific model organisms, and unique features like gene expression data and subcellular localization, allowing for in-depth analysis.
View Article and Find Full Text PDF

Understanding living systems requires an in-depth knowledge of the signaling networks that drive cellular homeostasis, regulate intercellular communication, and contribute to cell fates during development. Several resources exist to provide high-throughput data sets or manually curated interaction information from human or invertebrate model organisms. We previously developed SignaLink, a uniformly curated, multi-layered signaling resource containing information for human and for the model organisms nematode Caenorhabditis elegans and fruit fly Drosophila melanogaster.

View Article and Find Full Text PDF

Autophagy is a complex cellular process having multiple roles, depending on tissue, physiological, or pathological conditions. Major post-translational regulators of autophagy are well known, however, they have not yet been collected comprehensively. The precise and context-dependent regulation of autophagy necessitates additional regulators, including transcriptional and post-transcriptional components that are listed in various datasets.

View Article and Find Full Text PDF