Publications by authors named "Michael J Meyer"

Article Synopsis
  • Researchers have developed a method for single-molecule protein sequencing that accurately identifies peptide sequences in real time.
  • This technique uses dye-labeled amino acid recognizers and aminopeptidases to probe single peptides while recording fluorescence data on a semiconductor chip.
  • The method shows potential for detailed analysis of proteins, including the ability to detect single amino acid changes and modifications, paving the way for more accessible proteomic research.
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Background: The perception of a steep learning curve associated with transradial access has resulted in its limited adoption in neurointervention despite the demonstrated benefits, including decreased access-site complications.

Objective: To compare learning curves of transradial versus transfemoral diagnostic cerebral angiograms obtained by five neurovascular fellows as primary operator.

Methods: The first 100-150 consecutive transradial and transfemoral angiographic scans performed by each fellow between July 2017 and March 2020 were identified.

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The proportion of neurosurgeons facing a malpractice suit each year is highest among all medical and surgical specialties. It is critical for neurosurgeons to understand local malpractice laws because they vary among states. Sovereign immunity, as described in the 11th constitutional amendment, provides absolute immunity to states from being sued by their residents and by other states.

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Article Synopsis
  • Systematic mappings of protein interactome networks provide crucial functional insights for various model organisms.
  • The authors developed a new tool called PLATE-seq that allows for the rapid sequencing of thousands of DNA elements, demonstrating its effectiveness by creating an ORFeome for 2,300 genes.
  • They constructed a detailed protein-protein interactome map showing 322 interactions among 289 proteins, significantly expanding knowledge of these interactions in rice by about 50%.
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We present Interactome INSIDER, a tool to link genomic variant information with structural protein-protein interactomes. Underlying this tool is the application of machine learning to predict protein interaction interfaces for 185,957 protein interactions with previously unresolved interfaces in human and seven model organisms, including the entire experimentally determined human binary interactome. Predicted interfaces exhibit functional properties similar to those of known interfaces, including enrichment for disease mutations and recurrent cancer mutations.

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Studying autism genes in the context of the protein complexes to which they belong illustrates the potential of network-centric approaches for understanding complex genetic disease.

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A new algorithm and Web server, mutation3D (http://mutation3d.org), proposes driver genes in cancer by identifying clusters of amino acid substitutions within tertiary protein structures. We demonstrate the feasibility of using a 3D clustering approach to implicate proteins in cancer based on explorations of single proteins using the mutation3D Web interface.

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Unlabelled: Biological sequence databases are integral to efforts to characterize and understand biological molecules and share biological data. However, when analyzing these data, scientists are often left holding disparate biological currency-molecular identifiers from different databases. For downstream applications that require converting the identifiers themselves, there are many resources available, but analyzing associated loci and variants can be cumbersome if data is not given in a form amenable to particular analyses.

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Here, we present FissionNet, a proteome-wide binary protein interactome for S. pombe, comprising 2,278 high-quality interactions, of which ∼ 50% were previously not reported in any species. FissionNet unravels previously unreported interactions implicated in processes such as gene silencing and pre-mRNA splicing.

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Article Synopsis
  • The study of the molecular basis of human disease has become a hot topic, thanks to advancements in gene sequencing that have produced a lot of genetic data.
  • However, turning this genetic information into practical medical applications has been tough, mainly due to the lack of understanding about what genetic changes mean and the complicated links between genes and traits.
  • One promising strategy is to focus on how genetic variations affect proteins since they play key roles in biological processes, and mapping protein interactions can help clarify how these variations contribute to diseases.
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Unlabelled: INstruct is a database of high-quality, 3D, structurally resolved protein interactome networks in human and six model organisms. INstruct combines the scale of available high-quality binary protein interaction data with the specificity of atomic-resolution structural information derived from co-crystal evidence using a tested interaction interface inference method. Its web interface is designed to allow for flexible search based on standard and organism-specific protein and gene-naming conventions, visualization of protein architecture highlighting interaction interfaces and viewing and downloading custom 3D structurally resolved interactome datasets.

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The report of the President's Council on Bioethics, Human Cloning and Human Dignity, addresses the central ethical, political, and policy issue in human embryonic stem cell research: the moral status of extracorporeal human embryos. The Council members were in sharp disagreement on this issue and essentially failed to adequately engage and respectfully acknowledge each others' deepest moral concerns, despite their stated commitment to do so. This essay provides a detailed critique of the two extreme views on the Council (i.

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