Myxopapillary Ependymoma in an 11-Year-Old Patient With Right-Sided Nocturnal Thigh Pain.

ABSTRACT: This case report highlights a rare type of primary spinal cord tumor, myxopapillary ependymoma, in a pediatric patient who presented to clinic with worsening chronic unilateral thigh pain and neurologic deficits. He was appropriately treated with total gross resection of the tumor and adjuvant radiotherapy and was cleared for competitive sports without any restriction within 1 year of his diagnosis and treatment. Although most musculoskeletal complaints among pediatric patients are of benign etiology, as evidenced by our case, clinicians should have a low threshold to further investigate with advanced imaging modalities should the clinical history and examination be consistent with a more concerning pathologic process.

Learning representations of microbe-metabolite interactions.

Integrating multiomics datasets is critical for microbiome research; however, inferring interactions across omics datasets has multiple statistical challenges. We solve this problem by using neural networks (https://github.com/biocore/mmvec) to estimate the conditional probability that each molecule is present given the presence of a specific microorganism. We show with known environmental (desert soil biocrust wetting) and clinical (cystic fibrosis lung) examples, our ability to recover microbe-metabolite relationships, and demonstrate how the method can discover relationships between microbially produced metabolites and inflammatory bowel disease.

Characterization of Transcriptional Regulatory Networks that Promote and Restrict Identities and Functions of Intestinal Innate Lymphoid Cells.

Innate lymphoid cells (ILCs) promote tissue homeostasis and immune defense but also contribute to inflammatory diseases. ILCs exhibit phenotypic and functional plasticity in response to environmental stimuli, yet the transcriptional regulatory networks (TRNs) that control ILC function are largely unknown. Here, we integrate gene expression and chromatin accessibility data to infer regulatory interactions between transcription factors (TFs) and genes within intestinal type 1, 2, and 3 ILC subsets. We predicted the "core" TFs driving ILC identities, organized TFs into cooperative modules controlling distinct gene programs, and validated roles for c-MAF and BCL6 as regulators affecting type 1 and type 3 ILC lineages. The ILC network revealed alternative-lineage-gene repression, a mechanism that may contribute to reported plasticity between ILC subsets. By connecting TFs to genes, the TRNs suggest means to selectively regulate ILC effector functions, while our network approach is broadly applicable to identifying regulators in other in vivo cell populations.