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Your search keyword '"Hurrell, Tracey"' showing total 11 results
Start Over Author "Hurrell, Tracey" Publisher springer science and business media llc
11 results on '"Hurrell, Tracey"'

1. Spatiotemporal proteomic profiling of the pro-inflammatory response to lipopolysaccharide in the THP-1 human leukaemia cell line

Author

Mulvey, Claire M., primary, Breckels, Lisa M., additional, Crook, Oliver M., additional, Sanders, David J., additional, Ribeiro, Andre L. R., additional, Geladaki, Aikaterini, additional, Christoforou, Andy, additional, Britovšek, Nina Kočevar, additional, Hurrell, Tracey, additional, Deery, Michael J., additional, Gatto, Laurent, additional, Smith, Andrew M., additional, and Lilley, Kathryn S., additional

Published
2021
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2. Spatiotemporal proteomic profiling of the pro-inflammatory response to lipopolysaccharide in the THP-1 human leukaemia cell line

Author

UCL - SSS/DDUV/CBIO - Computational Biology and Bioinformatics, Mulvey, Claire M., Breckels, Lisa M., Crook, Oliver M., Sanders, David J., Ribeiro, Andre L. R., Geladaki, Aikaterini, Christoforou, Andy, Britovšek, Nina Kočevar, Hurrell, Tracey, Deery, Michael J., Gatto, Laurent, Smith, Andrew M., Lilley, Kathryn S., UCL - SSS/DDUV/CBIO - Computational Biology and Bioinformatics, Mulvey, Claire M., Breckels, Lisa M., Crook, Oliver M., Sanders, David J., Ribeiro, Andre L. R., Geladaki, Aikaterini, Christoforou, Andy, Britovšek, Nina Kočevar, Hurrell, Tracey, Deery, Michael J., Gatto, Laurent, Smith, Andrew M., and Lilley, Kathryn S.

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 of proteins simultaneously. We combine global proteome analysis with hyperLOPIT in a fully Bayesian framework to elucidate spatiotemporal proteomic changes during a lipopolysaccharide (LPS)-induced inflammatory response. We report a highly dynamic proteome in terms of both protein abundance and subcellular localisation, with alterations in the interferon response, endo-lysosomal system, plasma membrane reorganisation and cell migration. Proteins not previously associated with an LPS response were found to relocalise upon stimulation, the functional consequences of which are still unclear. By quantifying proteome-wide uncertainty through Bayesian modelling, a necessary role for protein relocalisation and the importance of taking a holistic overview of the LPS-driven immune response has been revealed. The data are showcased as an interactive application freely available for the scientific community.

Published
2021

4. Author Correction: Liver macrophages regulate systemic metabolism through non-inflammatory factors

Author

Morgantini, Cecilia, primary, Jager, Jennifer, additional, Li, Xidan, additional, Levi, Laura, additional, Azzimato, Valerio, additional, Sulen, André, additional, Barreby, Emelie, additional, Xu, Connie, additional, Tencerova, Michaela, additional, Näslund, Erik, additional, Kumar, Chanchal, additional, Verdeguer, Francisco, additional, Straniero, Sara, additional, Hultenby, Kjell, additional, Björkström, Niklas K., additional, Ellis, Ewa, additional, Rydén, Mikael, additional, Kutter, Claudia, additional, Hurrell, Tracey, additional, Lauschke, Volker M., additional, Boucher, Jeremie, additional, Tomčala, Aleš, additional, Krejčová, Gabriela, additional, Bajgar, Adam, additional, and Aouadi, Myriam, additional

Published
2021
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5. Author Correction: Liver macrophages regulate systemic metabolism through non-inflammatory factors

Author

Morgantini, Cecilia, primary, Jager, Jennifer, additional, Li, Xidan, additional, Levi, Laura, additional, Azzimato, Valerio, additional, Sulen, André, additional, Barreby, Emelie, additional, Xu, Connie, additional, Tencerova, Michaela, additional, Näslund, Erik, additional, Kumar, Chanchal, additional, Verdeguer, Francisco, additional, Straniero, Sara, additional, Hultenby, Kjell, additional, Björkström, Niklas K., additional, Ellis, Ewa, additional, Rydén, Mikael, additional, Kutter, Claudia, additional, Hurrell, Tracey, additional, Lauschke, Volker M., additional, Boucher, Jeremie, additional, Tomčala, Aleš, additional, Krejčová, Gabriela, additional, Bajgar, Adam, additional, and Aouadi, Myriam, additional

Published
2019
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6. Liver macrophages regulate systemic metabolism through non-inflammatory factors

Author

Morgantini, Cecilia, primary, Jager, Jennifer, additional, Li, Xidan, additional, Levi, Laura, additional, Azzimato, Valerio, additional, Sulen, André, additional, Barreby, Emelie, additional, Xu, Connie, additional, Tencerova, Michaela, additional, Näslund, Erik, additional, Kumar, Chanchal, additional, Verdeguer, Francisco, additional, Straniero, Sara, additional, Hultenby, Kjell, additional, Björkström, Niklas K., additional, Ellis, Ewa, additional, Rydén, Mikael, additional, Kutter, Claudia, additional, Hurrell, Tracey, additional, Lauschke, Volker M., additional, Boucher, Jeremie, additional, Tomčala, Aleš, additional, Krejčová, Gabriela, additional, Bajgar, Adam, additional, and Aouadi, Myriam, additional

Published
2019
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8. A draft map of the mouse pluripotent stem cell spatial proteome

Author

Christoforou, Andy, primary, Mulvey, Claire M., additional, Breckels, Lisa M., additional, Geladaki, Aikaterini, additional, Hurrell, Tracey, additional, Hayward, Penelope C., additional, Naake, Thomas, additional, Gatto, Laurent, additional, Viner, Rosa, additional, Arias, Alfonso Martinez, additional, and Lilley, Kathryn S., additional

Published
2016
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10. Spatiotemporal proteomic profiling of the pro-inflammatory response to lipopolysaccharide in the THP-1 human leukaemia cell line

Author

Mulvey, Claire M, Breckels, Lisa M, Crook, Oliver M, Sanders, David J, Ribeiro, Andre LR, Geladaki, Aikaterini, Christoforou, Andy, Britovšek, Nina Kočevar, Hurrell, Tracey, Deery, Michael J, Gatto, Laurent, Smith, Andrew M, and Lilley, Kathryn S

Subjects
Lipopolysaccharides, Proteomics, rho GTP-Binding Proteins, Time Factors, Proteome, THP-1 Cells, T-Lymphocytes, Anti-Inflammatory Agents, Lymphocyte Activation, Anti-Infective Agents, Humans, Transport Vesicles, Cell Shape, Cell Nucleus, Inflammation, Antigen Presentation, Leukemia, Cell Membrane, Autophagosomes, Immunity, Bayes Theorem, Cell Cycle Checkpoints, 3. Good health, Neoplasm Proteins, Up-Regulation, Protein Transport, Lysosomes, Algorithms, Signal Transduction
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 of proteins simultaneously. We combine global proteome analysis with hyperLOPIT in a fully Bayesian framework to elucidate spatiotemporal proteomic changes during a lipopolysaccharide (LPS)-induced inflammatory response. We report a highly dynamic proteome in terms of both protein abundance and subcellular localisation, with alterations in the interferon response, endo-lysosomal system, plasma membrane reorganisation and cell migration. Proteins not previously associated with an LPS response were found to relocalise upon stimulation, the functional consequences of which are still unclear. By quantifying proteome-wide uncertainty through Bayesian modelling, a necessary role for protein relocalisation and the importance of taking a holistic overview of the LPS-driven immune response has been revealed. The data are showcased as an interactive application freely available for the scientific community.

11. A proteomic time course through the differentiation of human induced pluripotent stem cells into hepatocyte-like cells

Author

Hurrell, Tracey, Segeritz, Charis-Patricia, Vallier, Ludovic, Lilley, Kathryn S, and Cromarty, Allan D

Subjects
Proteomics, Induced Pluripotent Stem Cells, Hepatocytes, Humans, Cell Differentiation, Antigens, Differentiation, 3. Good health
Abstract

Numerous in vitro models endeavour to mimic the characteristics of primary human hepatocytes for applications in regenerative medicine and pharmaceutical science. Mature hepatocyte-like cells (HLCs) derived from human induced pluripotent stem cells (hiPSCs) are one such in vitro model. Due to insufficiencies in transcriptome to proteome correlation, characterising the proteome of HLCs is essential to provide a suitable framework for their continual optimization. Here we interrogated the proteome during stepwise differentiation of hiPSCs into HLCs over 40 days. Whole cell protein lysates were collected and analysed using stabled isotope labelled mass spectrometry based proteomics. Quantitative proteomics identified over 6,000 proteins in duplicate multiplexed labelling experiments across two different time course series. Inductive cues in differentiation promoted sequential acquisition of hepatocyte specific markers. Analysis of proteins classically assigned as hepatic markers demonstrated trends towards maximum relative abundance between differentiation day 30 and 32. Characterisation of abundant proteins in whole cells provided evidence of the time dependent transition towards proteins corresponding with the functional repertoire of the liver. This data highlights how far the proteome of undifferentiated precursors have progressed to acquire a hepatic phenotype and constructs a platform for optimisation and improved maturation of HLC differentiation.

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