A5019486463- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Bioinformatics
- Pluripotent Stem Cells Research
- Genomics and Phylogenetic Studies
- Biotin and Related Studies
- Tissue Engineering and Regenerative Medicine
- Molecular Biology Techniques and Applications
- Multiple Myeloma Research and Treatments
- Congenital heart defects research
- Epigenetics and DNA Methylation
- Nanoparticle-Based Drug Delivery
- Glycosylation and Glycoproteins Research
- Lipid Membrane Structure and Behavior
- Protein Degradation and Inhibitors
- Advanced Biosensing Techniques and Applications
- Acute Lymphoblastic Leukemia research
- Gene expression and cancer classification
- Immune Response and Inflammation
- Platelet Disorders and Treatments
- Renal and related cancers
- Viral Infectious Diseases and Gene Expression in Insects
- Hemoglobinopathies and Related Disorders
- CAR-T cell therapy research
Bristol-Myers Squibb (United States)
2021-2024
University of Cambridge
2009-2016
Wellcome/MRC Cambridge Stem Cell Institute
2015
Wellcome Trust
2009
European Bioinformatics Institute
2009
Abstract Knowledge of the subcellular distribution proteins is vital for understanding cellular mechanisms. Capturing proteome in a single experiment has proven challenging, with studies focusing on specific compartments or assigning to niches low resolution and/or accuracy. Here we introduce hyperLOPIT, method that couples extensive fractionation, quantitative high-resolution accurate mass spectrometry multivariate data analysis. We apply hyperLOPIT pluripotent stem cell population whose...
The maintenance of pluripotency in mouse embryonic stem cells (mESCs) relies on the activity a transcriptional network that is fuelled by three transcription factors (Nanog, Oct4 and Sox2) balanced repressive Tcf3. Extracellular signals modulate regulate differentiation capacity cells. Wnt/β-catenin signaling has emerged as significant potentiator pluripotency: increases levels β-catenin Nanog, enhance pluripotency. A recent report shows achieves some these effects modulating Tcf3, this...
Abstract Protein localisation and translocation between intracellular compartments underlie almost all physiological processes. The hyperLOPIT proteomics platform combines mass spectrometry with state-of-the-art machine learning to map the subcellular location of thousands proteins simultaneously. We combine global proteome analysis in a fully Bayesian framework elucidate spatiotemporal proteomic changes during lipopolysaccharide (LPS)-induced inflammatory response. report highly dynamic...
Many proteins within eukaryotic cells are organized spatially and functionally into membrane bound organelles complexes. A protein's location thus provides information about its function. Here, we apply LOPIT, a mass-spectrometry based technique that simultaneously maps to specific subcellular compartments, Drosophila embryos. We determine the distribution of hundreds proteins, protein Our results reveal potential LOPIT provide average snapshots cells.
Quantitative mass-spectrometry-based spatial proteomics involves elaborate, expensive, and time-consuming experimental procedures, considerable effort is invested in the generation of such data. Multiple research groups have described a variety approaches for establishing high-quality proteome-wide datasets. However, data analysis as critical production reliable insightful biological interpretation, no consistent robust solutions been offered to community so far. Here, we introduce...
Sub-cellular localisation of proteins is an essential post-translational regulatory mechanism that can be assayed using high-throughput mass spectrometry (MS). These MS-based spatial proteomics experiments enable us to pinpoint the sub-cellular distribution thousands in a specific system under controlled conditions. Recent advances MS methods have yielded plethora experimental data for cell biology community. Yet, there are many third-party sources, such as immunofluorescence microscopy or...
Abstract During mammalian preimplantation development, the cells of blastocyst's inner cell mass differentiate into epiblast and primitive endoderm lineages, which give rise to fetus extra-embryonic tissues, respectively. Extra-embryonic (XEN) differentiation can be modeled in vitro by induced expression GATA transcription factors mouse embryonic stem cells. Here, we use this GATA-inducible system quantitatively monitor dynamics global proteomic changes during early stages event also...
Despite the increasing popularity of data-independent acquisition workflows, data-dependent (DDA) is still prevalent method LC-MS-based proteomics. DDA basis isobaric mass tagging technique, a powerful MS2 quantification strategy that allows coanalysis up to 10 proteomics samples. A well-documented limitation DDA, however, precursor coselection, whereby target peptide coisolated with other ions for fragmentation. Here, we investigated if additional purification by traveling wave ion mobility...
Abstract Sub-cellular localisation of proteins is an essential post-translational regulatory mechanism that can be assayed using high-throughput mass spectrometry (MS). These MS-based spatial proteomics experiments enable us to pinpoint the sub-cellular distribution thousands in a specific system under controlled conditions. Recent advances MS methods have yielded plethora experimental data for cell biology community. Yet, there are many third-party sources, such as immunofluorescence...
Abstract Immunomodulatory drugs (IMiDs) are key for treating multiple myeloma and myelodysplastic syndrome with chromosome 5q deletion. IMiDs exert their pleiotropic effects through the interaction between cell-specific substrates cereblon, a substrate receptor of E3 ubiquitin ligase complex. Thus, identification is important understanding IMiDs. increase risk thromboembolism, which sometimes results in fatal clinical outcomes. In this study, we sought to clarify molecular mechanisms...