A report on the joint Cold Spring Harbor/Wellcome Trust Meeting 'Interactome Networks', Hinxton, UK, 31 August-4 September 2005. High-throughput analyses are identifying the DNA, RNA, proteins and metabolites within a biological system with increasing accuracy and speed. As a result, we now have a relatively detailed understanding of the components that make up the dynamic and temporal characteristics of the cell. In most cases, however, we know very little about how the individual components work together to carry out specific biological functions. To get over this hurdle, it will be necessary to map how individual biomolecules interact with one another within a larger network of molecular interactions (the so-called 'interactome') in the cell as a whole. Mapping this network is the shared goal of an increasing number of researchers from the UK, Europe, US, and Japan, who gathered at the first annual Cold Spring Harbor/Wellcome Trust meeting on interactome networks in Hinxton. This meeting provided an opportunity to review the recent experimental and computational advances that have been applied to uncover biomolecular interactions. Here we report a few of the key advances in the areas of new interaction-mapping techniques, new experimental reagents and resources, and new computational tools for understanding interaction networks that were presented at the meeting.
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http://dx.doi.org/10.1186/gb-2006-7-1-301 | DOI Listing |
Anal Chem
January 2025
Department of Chemistry, University of California, Davis, California 95616, United States.
Protein-protein interactions in the cell membrane are typically mediated by glycans, with terminal sialic acid often involved in these interactions. To probe the nature of the interactions, we developed quantitative cross-linking methods involving the glycans of the glycoproteins and the polypeptide moieties of proteins. We designed and synthesized biotinylated enrichable cross-linkers that were click-tagged to metabolically incorporate azido-sialic acid on cell surface glycans to allow cross-linking of the azido-glycans with lysine residues on proximal polypeptides.
View Article and Find Full Text PDFNeurobiol Dis
January 2025
Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada; Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada. Electronic address:
Bank voles are susceptible to prion strains from many different species, yet the molecular mechanisms underlying the ability of bank vole prion protein (BVPrP) to function as a universal prion acceptor remain unclear. Potential differences in molecular environments and protein interaction networks on the cell surface of brain cells may contribute to BVPrP's unusual behavior. To test this hypothesis, we generated knock-in mice that express physiological levels of BVPrP (M109 isoform) and employed mass spectrometry to compare the interactomes of mouse (Mo) PrP and BVPrP following mild in vivo crosslinking of brain tissue.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Dermatology, University of Florida College of Medicine, Gainesville, FL 32606, USA.
Despite significant strides in anti-melanoma therapies, resistance and recurrence remain major challenges. A deeper understanding of the underlying biology of these challenges is necessary for developing more effective treatment paradigms. Melanoma single-cell data were retrieved from the Broad Single Cell Portal (SCP11).
View Article and Find Full Text PDFCancers (Basel)
January 2025
Avantyx Pharmaceuticals, Miami, FL 33136, USA.
There are numerous ways of portraying cancer complexity based on combining multiple types of data. A common approach involves developing signatures from gene expression profiles to highlight a few key reproducible features that provide insight into cancer risk, progression, or recurrence. Normally, a selection of such features is made through relevance or significance, given a reference context.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Department of Obstetrics and Gynecology, Yonsei University Wonju College of Medicine, 20, Ilsan-ro, Wonju-si 26426, Republic of Korea.
Endometriosis is a complex disease with diverse etiologies, including hormonal, immunological, and environmental factors; however, its exact pathogenesis remains unknown. While surgical approaches are the diagnostic and therapeutic gold standard, identifying endometriosis-associated genes is a crucial first step. Five endometriosis-related gene expression studies were selected from the available datasets.
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