A5011259254- Cutaneous lymphoproliferative disorders research
- Research on Leishmaniasis Studies
- Toxin Mechanisms and Immunotoxins
- Cell Image Analysis Techniques
- Advanced Biosensing Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- Click Chemistry and Applications
- Chronic Lymphocytic Leukemia Research
- Computational Drug Discovery Methods
- T-cell and Retrovirus Studies
- CAR-T cell therapy research
- Phytochemical compounds biological activities
- Image Processing Techniques and Applications
- Cancer Cells and Metastasis
- Lymphoma Diagnosis and Treatment
- Cancer, Hypoxia, and Metabolism
- Biotin and Related Studies
- Genetics, Bioinformatics, and Biomedical Research
- HER2/EGFR in Cancer Research
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Monoclonal and Polyclonal Antibodies Research
- RNA modifications and cancer
- Biochemical and Structural Characterization
- Cancer, Lipids, and Metabolism
AstraZeneca (Sweden)
2020-2024
Uppsala University
2006-2023
AstraZeneca (Brazil)
2023
Walter and Eliza Hall Institute of Medical Research
2014-2017
Science for Life Laboratory
2011-2013
Uppsala University Hospital
2007
Abstract Identifying active compounds for a target is time- and resource-intensive task in early drug discovery. Accurate bioactivity prediction using morphological profiles could streamline the process, enabling smaller, more focused compound screens. We investigate potential of deep learning on unrefined single-concentration activity readouts Cell Painting data, to predict across 140 diverse assays. observe an average ROC-AUC 0.744 ± 0.108 with 62% assays achieving ≥0.7, 30% ≥0.8, 7% ≥0.9....
Abstract This study was designed to identify highly recurrent genetic alterations typical of Sézary syndrome (Sz), an aggressive cutaneous T-cell lymphoma/leukemia, possibly revealing pathogenetic mechanisms and novel therapeutic targets. High-resolution array-based comparative genomic hybridization done on malignant T cells from 20 patients. Expression levels selected biologically relevant genes residing within loci with frequent copy number alteration were measured using quantitative PCR....
Abstract Interactions between members of the epidermal growth factor receptor (EGFR) family mediates cellular responses to ligand stimulation. Measurement these interactions could provide important information and may prove useful as prognostic markers in malignancy. Therefore, develop methods study genetically unmodified cells, such clinical samples, a sensitive selective way, with good statistical accuracy, is important. The situ proximity ligation assay ( PLA) was used quantify homo‐...
The cost of developing new drugs is a major obstacle for pharmaceutical companies and academia with many identified in the drug discovery process failing approval clinical use due to lack intended effect or because severe side effects. Since early 1990s, high throughput screening compounds has increased enormously capacity but not resulted higher success rate drugs. Thus, there need methods that can identify biologically relevant more accurately predict vivo effects process. To address this,...
The ability to study proteins and protein interactions inside cells tissues is important for elucidating how function in health disease. situ proximity ligation assay (in PLA) presented here can be used visualize proteins, protein-protein interactions, post-translational modifications tissues. method based upon the use of antibodies that target involved an interaction; hence, has advantage it clinical specimens, providing localized, quantifiable single molecule detection cells. This unit...
Cellular functions are regulated and executed by complex protein interaction networks. Accordingly, it is essential to understand the interplay between proteins in determining activity status of signaling cascades. New methods therefore required provide information on different events at single cell level heterogeneous populations such as tissue sections. Here, we describe a multiplex proximity ligation assay for simultaneous visualization multiple complexes situ. The an enhancement original...
High Content Imaging (HCI) plays a vital role in modern drug discovery and development pipelines, facilitating various stages from hit identification to candidate characterization. Applying machine learning models these datasets can prove challenging as they typically consist of multiple batches, affected by experimental variation, especially if different imaging equipment have been used. Moreover, new data arrive, it is preferable that are analyzed an online fashion. To overcome this, we...
The Walter and Eliza Hall Institute of Medical Research (WEHI) is Australia's longest serving medical research institute. WEHI's High Throughput Screening (HTS) Facility was established in 2003 with $5 million infrastructure funds invested by WEHI, the Victorian State Government's Strategic Technology Initiative through Bio21 Australia Ltd. first truly academic HTS facility one only a handful operating publicly funded institutions worldwide at that time. objectives were to provide access...
High content imaging assays can capture rich phenotypic response data for large sets of compound treatments, aiding in the characterization and discovery novel drugs. However, extracting representative features from high images that subtle nuances phenotypes remains challenging. The lack high-quality labels makes it difficult to achieve satisfactory results with supervised deep learning. Self-Supervised learning methods have shown great success on natural images, offer an attractive...
B-cell lymphomas/leukemias with simultaneous t(14;18)(q32;q21) and MYC rearrangements have recently been shown to constitute a separate diagnostic entity, presenting rapid clinical course very poor prognosis. We describe the establishment of an Epstein-Barr virus negative cell line, designated U-2973, from male patient de novo aggressive lymphoma/leukemia high peripheral blast count. Flow cytometry bone marrow cells U-2973 displayed mature phenotype, immunostaining showed expression BCL2. IG...
Abstract Efficiently identifying bioactive compounds towards a target of interest remains time- and resource-intensive task in early drug discovery. The ability to accurately predict bioactivity using morphological profiles has the potential rationalize process, enabling smaller screens focused compound sets. Towards this goal, we explored application deep learning with Cell Painting, high-content image-based assay, for prediction screening. Combining Painting data unrefined...
Introduction - The normal process of epithelial mesenchymal transition (EMT) is subverted by carcinoma cells to facilitate metastatic spread. Cancer rarely undergo a full conversion the phenotype, and instead adopt positions along epithelial-mesenchymal axis, propensity we refer as plasticity (EMP). EMP associated with increased risk metastasis in breast cancer consequent poor prognosis. Drivers towards state malignant include growth factor stimulation or exposure hypoxic conditions....