A5087548178- Immunodeficiency and Autoimmune Disorders
- Chronic Lymphocytic Leukemia Research
- NF-κB Signaling Pathways
- Single-cell and spatial transcriptomics
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Multimodal Machine Learning Applications
- Respiratory viral infections research
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Shaanxi University of Science and Technology
2022-2024
CeMM Research Center for Molecular Medicine
2020-2022
Austrian Academy of Sciences
2020-2022
Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases
2019
Abstract The Bruton tyrosine kinase (BTK) inhibitor ibrutinib provides effective treatment for patients with chronic lymphocytic leukemia (CLL), despite extensive heterogeneity in this disease. To define the underlining regulatory dynamics, we analyze high-resolution time courses of CLL, combining immune-phenotyping, single-cell transcriptome profiling, and chromatin mapping. We identify a consistent program starting sharp decrease NF-κB binding CLL cells, which is followed by reduced...
Common variable immunodeficiency (CVID) is the most prevalent form of symptomatic primary in humans. The genetic cause CVID still unknown about 70% cases. Ten percent patients carry heterozygous mutations tumor necrosis factor receptor superfamily member 13B gene ( TNFRSF13B ), encoding TACI. Mutations alone may not be sufficient for development CVID, as 1% healthy population these mutations. common hypothesis that TACI are fully penetrant and additional factors contribute to CVID. To...
Abstract Chronic lymphocytic leukemia (CLL) is a genetically, epigenetically, and clinically heterogeneous disease. Despite this heterogeneity, the Bruton tyrosine kinase (BTK) inhibitor ibrutinib provides effective treatment for vast majority of CLL patients. To define underlining regulatory program, we analyzed high-resolution time courses in closely monitored patients, combining cellular phenotyping (flow cytometry), single-cell transcriptome profiling (scRNA-seq), chromatin mapping...
Deep neural networks can learn powerful representations from massive amounts of labeled data; however, their performance is unsatisfactory in the case large samples and small labels. Transfer learning bridge between a source domain with rich sample data target only few or zero and, thus, complete transfer knowledge by aligning distribution domains through methods, such as adaptation. Previous adaptation methods mostly align features feature space all categories on global scale. Recently,...
Abstract The transcription factor NF-κB plays a pivotal role in the adaptive immune response. Pathogenic variants NFKB1 are most common genetic etiology of variable immunodeficiency (CVID). Patients frequently present with impaired terminal B cell differentiation, autoimmunity, and hyperinflammatory dysregulation. signaling target gene expression expected to be dysregulated -mutated patients. Here, we performed multi-omics characterization cells from cohort clinically affected unaffected...