Publications by authors named "Molly Wetzel"

Article Synopsis
  • Gene expression is influenced by epigenetics and varies based on the cellular environment, with recent advancements in spatial omics enhancing our understanding of this context.
  • The introduction of DBiT-seq offers a pioneering method for spatial epigenomic profiling at the cellular level, significantly improving cell typing and identification of regulatory elements.
  • The new 96-channel microfluidics chip provides more precise spatial mapping of brain cells, revealing the intricate organization of glial and neuronal cells and the regulatory mechanisms that affect development and disease.
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Article Synopsis
  • - The study focuses on identifying the interactions between rhesus macaque killer cell Ig-like receptors (KIRs) and MHC class I molecules, which is crucial for understanding natural killer (NK) cell biology in these primates as they serve as important animal models for various fields.
  • - Researchers tested rhesus macaque KIRs against different MHC class I alleles and discovered 12 KIRs with previously unknown specificities, categorizing their interactions primarily into three groups: those that bind to Mamu-Bw4, Mamu-A-related molecules, and Mamu-A1*012:01.
  • - Most KIRs interacting with Mamu-Bw4 were inhibitory, while those binding to Mamu
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Article Synopsis
  • Knowledge of MHC class I ligands for KIRs in rhesus macaques is key to understanding natural killer cell functions in studies of infectious diseases and reproductive biology.
  • Mamu-AG, which is similar to the human HLA-G, is a polymorphic nonclassical MHC class I molecule found at the maternal-fetal interface; different allotypes of KIR3DL05 have varying responses to Mamu-AG alleles.
  • Research discovered specific amino acid residues in Mamu-AG that are critical for KIR recognition, demonstrating how genetic variations can influence immune responses in this nonhuman primate model.
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Top-down mass spectrometry (MS)-based proteomics enable a comprehensive analysis of proteoforms with molecular specificity to achieve a proteome-wide understanding of protein functions. However, the lack of a universal software for top-down proteomics is becoming increasingly recognized as a major barrier, especially for newcomers. Here, we have developed MASH Explorer, a universal, comprehensive, and user-friendly software environment for top-down proteomics.

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Top-down mass spectrometry (MS) is a powerful tool for the identification and comprehensive characterization of proteoforms arising from alternative splicing, sequence variation, and post-translational modifications. However, the complex data set generated from top-down MS experiments requires multiple sequential data processing steps to successfully interpret the data for identifying and characterizing proteoforms. One critical step is the deconvolution of the complex isotopic distribution that arises from naturally occurring isotopes.

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