Ataxia-telangiectasia (A-T) is an infrequent autosomal recessive multisystem disorder characterized by progressive cerebellar ataxia, oculo-cutaneous telangiectasia, a tendency to malignancies and variable immunodeficiency. Here we described a 5-year-old girl with atypical A-T symptoms. And 2 different ATM variants c.5939_5948del in exon 40 and c.2639-384A > G in intron 17 were detected by whole exome sequencing (WES) combined with RNA sequencing (RNA-seq). The variant spectrum of ATM was expanded. RNA-seq makes up for deficiencies of WES. We proposed a new approach, a dual-omics that combines RNA-seq with WES, for the diagnosis of genetic diseases. Moreover, our study discussed the phenotypic heterogeneity of A-T among family members as well as individuals. For children with recurrent infections and immunodeficiency, we suggested focusing on A-T after the exclusion of other potential diseases.
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http://dx.doi.org/10.1016/j.cca.2021.08.026 | DOI Listing |
Extracell Vesicles Circ Nucl Acids
December 2024
Department of Diagnostic and Biological Sciences, University of Minnesota, Minneapolis, MN 55455, USA.
The effective management of cancer pain continues to be a challenge because of our limited understanding of cancer pain mechanisms and, in particular, how cancer cells interact with neurons to produce pain. In a study published in , Inyang used a mouse model of human papillomavirus (HPV1)-induced oropharyngeal squamous cell carcinoma to show a role for cancer cell-derived extracellular vesicles (cancer sEVs) in cancer pain. They found that inhibiting the release of sEVs reduced spontaneous and evoked pain behaviors, and that pain produced by sEVs is due to activation of TRPV1 channels.
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January 2025
Department of Visceral, Vascular and Endocrine Surgery, Martin-Luther-University Halle-Wittenberg, University Medical Center Halle, 06120 Halle (Saale), Germany.
Pancreatic ductal adenocarcinoma (PDAC) is characterized by aggressive growth and metastasis, partly driven by fibroblast-mediated stromal interactions. Using RNA sequencing of fibroblasts from early-stage KPC mouse models, we identified significant upregulation of genes involved in adipogenesis, fatty acid metabolism, and the ROS pathway. ANGPTL4, a key adipogenesis regulator, was highly expressed in fibroblasts and promoted pancreatic cancer cell proliferation and migration through paracrine signaling.
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January 2025
Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung and Blood Vascular Medicine Institute, Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine and UPMC, Pittsburgh, PA, USA.
Background: Pulmonary arterial hypertension (PAH) is a deadly disease without effective non-invasive diagnostic and prognostic testing. It remains unclear whether vasodilators reverse inflammatory activation, a part of PAH pathogenesis. Single-cell profiling of inflammatory cells in blood could clarify these PAH mechanisms.
View Article and Find Full Text PDFClin Transl Radiat Oncol
March 2025
Institute of Medical Science & Institute for Cancer Research, Keimyung University, Daegu, Republic of Korea.
Background: Combining radiotherapy (RT) with immune checkpoint inhibitors (ICIs) is a promising strategy that can enhance the therapeutic efficacy of ICIs. However, little is known about RT-induced changes in the expression of immune checkpoints, such as PD-L1, and their clinical implications in colorectal cancer (CRC). This study aimed to investigate the association between responsiveness to RT and changes in PD-L1 expression in human CRC tissue and cell lines.
View Article and Find Full Text PDFBiol Methods Protoc
January 2025
Department of Physics, George Washington University, Washington, DC 20052, United States.
A mixture-of-experts (MoE) approach has been developed to mitigate the poor out-of-distribution (OOD) generalization of deep learning (DL) models for single-sequence-based prediction of RNA secondary structure. The main idea behind this approach is to use DL models for in-distribution (ID) test sequences to leverage their superior ID performances, while relying on physics-based models for OOD sequences to ensure robust predictions. One key ingredient of the pipeline, named MoEFold2D, is automated ID/OOD detection via consensus analysis of an ensemble of DL model predictions without requiring access to training data during inference.
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