Publications by authors named "T M Straub"

Low-abundance members of microbial communities are difficult to study in their native habitats, including Escherichia coli, a minor but common inhabitant of the gastrointestinal tract, and key opportunistic pathogen of the urinary tract. While multi-omic analyses have detailed interactions between uropathogenic Escherichia coli (UPEC) and the bladder mediating urinary tract infection (UTI), little is known about UPEC in its pre-infection reservoir, the gastrointestinal tract, partly due to its low relative abundance (<1%). To sensitively explore the genomes and transcriptomes of diverse gut E.

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Dendritic cells (DCs) are crucial for initiating protective immune responses and have also been implicated in the generation and regulation of Foxp3 regulatory T cells (Treg cells). Here, we show that in the lamina propria of the small intestine, the alternative NF-κB family member RelB is necessary for the differentiation of cryptopatch and isolated lymphoid follicle-associated DCs (CIA-DCs). Moreover, single-cell RNA sequencing reveals a RelB-dependent signature in migratory DCs in mesenteric lymph nodes favoring DC-Treg cell interaction including elevated expression and release of the chemokine CCL22 from RelB-deficient conventional DCs (cDCs).

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Ribosomal biosynthesis in nucleoli is an energy-demanding process driven by all RNA polymerases and hundreds of auxiliary proteins. We investigated how this process is regulated in activated T lymphocytes by T cell receptor (TCR) signals and the multiprotein complexes mTORC1 and mTORC2, both of which contain the kinase mTOR. Deficiency in mTORC1 slowed the proliferation of T cells, with further delays in each consecutive division, an effect not seen with deficiency in mTORC2.

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Article Synopsis
  • * In experiments on mice, inducing YFs during brain development led to increased cell growth and improved behaviors, while adult induction helped prevent Alzheimer's disease symptoms.
  • * These findings suggest that YFs could be a promising tool for addressing brain disorders and enhancing neural development.
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Article Synopsis
  • Large language models learn language patterns through statistical methods, while ontologies provide symbolic knowledge that can enhance these models; both can work together effectively.
  • The MaterioMiner dataset links materials mechanics concepts with textual data, featuring 179 classes annotated by three raters across four publications, leading to a total of 2191 curated entities.
  • The study also evaluates annotation consistency among raters and demonstrates how pre-trained language models can be fine-tuned for named entity recognition, paving the way for advances in materials language models and knowledge graph creation.
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