Publications by authors named "M Eckhardt"

Hepatitis B virus (HBV) infections promote liver cancer initiation by inducing inflammation and cellular stress. Despite the primarily indirect effect on oncogenesis, HBV is associated with a recurrent genomic phenotype in HCC, suggesting that it impacts the biology of established HCC. Characterization of the interaction of HBV with host proteins and the mechanistic contributions of HBV to HCC initiation and maintenance could provide insights into HCC biology and uncover therapeutic vulnerabilities.

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Mutations in methyl-CpG-binding protein 2 (MeCP2) cause Rett syndrome. MeCP2 is thought to regulate gene transcription by binding to methylated DNA broadly across the genome. Here, using cleavage under target and release under nuclease (CUT&RUN) assays in the adult mouse cortex, we show that MeCP2 strongly binds to specific gene enhancers that we call MeCP2-binding hotspots (MBHs).

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Article Synopsis
  • * The text describes a specific proteomics method called affinity purification-mass spectrometry (AP-MS) to study protein interactions by tagging "bait" proteins in mammalian cells.
  • * This protocol allows researchers to identify, quantify, and visualize changes in protein-protein interaction networks under different conditions and is adaptable across various cell types and biological studies.
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Proximity labeling (PL) via biotinylation coupled with mass spectrometry (MS) captures spatial proteomes in cells. Large-scale processing requires a workflow minimizing hands-on time and enhancing quantitative reproducibility. We introduced a scalable PL pipeline integrating automated enrichment of biotinylated proteins in a 96-well plate format.

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Proteins congregate into complexes to perform fundamental cellular functions. Phenotypic outcomes, in health and disease, are often mechanistically driven by the remodeling of protein complexes by protein-coding mutations or cellular signaling changes in response to molecular cues. Here, we present an affinity purification-mass spectrometry (APMS) proteomics protocol to quantify and visualize global changes in protein-protein interaction (PPI) networks between pairwise conditions.

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