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Cannell IG, Sawicka K, Pearsall I, Wild SA, Deighton L, Pearsall SM, Lerda G, Joud F, Khan S, Bruna A, Simpson KL, Mulvey CM, Nugent F, Qosaj F, Bressan D, Dive C, Caldas C, Hannon GJ. FOXC2 promotes vasculogenic mimicry and resistance to anti-angiogenic therapy. Cell Rep 2023; 42:112791. [PMID: 37499655 DOI: 10.1016/j.celrep.2023.112791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 05/09/2022] [Accepted: 06/26/2023] [Indexed: 07/29/2023] Open
Abstract
Vasculogenic mimicry (VM) describes the formation of pseudo blood vessels constructed of tumor cells that have acquired endothelial-like properties. VM channels endow the tumor with a tumor-derived vascular system that directly connects to host blood vessels, and their presence is generally associated with poor patient prognosis. Here we show that the transcription factor, Foxc2, promotes VM in diverse solid tumor types by driving ectopic expression of endothelial genes in tumor cells, a process that is stimulated by hypoxia. VM-proficient tumors are resistant to anti-angiogenic therapy, and suppression of Foxc2 augments response. This work establishes co-option of an embryonic endothelial transcription factor by tumor cells as a key mechanism driving VM proclivity and motivates the search for VM-inhibitory agents that could form the basis of combination therapies with anti-angiogenics.
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Affiliation(s)
- Ian G Cannell
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; New York Genome Center, 101 Avenue of the Americas, New York, NY 10013, USA.
| | - Kirsty Sawicka
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; New York Genome Center, 101 Avenue of the Americas, New York, NY 10013, USA
| | - Isabella Pearsall
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; New York Genome Center, 101 Avenue of the Americas, New York, NY 10013, USA
| | - Sophia A Wild
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Lauren Deighton
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Sarah M Pearsall
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; Cancer Research UK Cancer Biomarker Centre, Manchester M20 4BX, UK; CRUK Manchester Institute, Manchester M20 4BX, UK
| | - Giulia Lerda
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Fadwa Joud
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Showkhin Khan
- New York Genome Center, 101 Avenue of the Americas, New York, NY 10013, USA
| | - Alejandra Bruna
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; Preclinical Modelling of Paediatric Cancer Evolution Team, The Institute of Cancer Research, Cotswold Road, Sutton, Surrey SM2 5N, UK
| | - Kathryn L Simpson
- Cancer Research UK Cancer Biomarker Centre, Manchester M20 4BX, UK; CRUK Manchester Institute, Manchester M20 4BX, UK
| | - Claire M Mulvey
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Fiona Nugent
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Fatime Qosaj
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Dario Bressan
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Caroline Dive
- Cancer Research UK Cancer Biomarker Centre, Manchester M20 4BX, UK; CRUK Manchester Institute, Manchester M20 4BX, UK
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; Department of Oncology and Breast Cancer Programme, CRUK Cambridge Centre, Cambridge University Hospitals NHS and University of Cambridge, Cambridge CB2 2QQ, UK
| | - Gregory J Hannon
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; New York Genome Center, 101 Avenue of the Americas, New York, NY 10013, USA.
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Wild SA, Cannell IG, Nicholls A, Kania K, Bressan D, Hannon GJ, Sawicka K. Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies. eLife 2022; 11:e80981. [PMID: 36525288 PMCID: PMC9757829 DOI: 10.7554/elife.80981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 11/10/2022] [Indexed: 12/23/2022] Open
Abstract
Tumour heterogeneity is thought to be a major barrier to successful cancer treatment due to the presence of drug resistant clonal lineages. However, identifying the characteristics of such lineages that underpin resistance to therapy has remained challenging. Here, we utilise clonal transcriptomics with WILD-seq; Wholistic Interrogation of Lineage Dynamics by sequencing, in mouse models of triple-negative breast cancer (TNBC) to understand response and resistance to therapy, including BET bromodomain inhibition and taxane-based chemotherapy. These analyses revealed oxidative stress protection by NRF2 as a major mechanism of taxane resistance and led to the discovery that our tumour models are collaterally sensitive to asparagine deprivation therapy using the clinical stage drug L-asparaginase after frontline treatment with docetaxel. In summary, clonal transcriptomics with WILD-seq identifies mechanisms of resistance to chemotherapy that are also operative in patients and pin points asparagine bioavailability as a druggable vulnerability of taxane-resistant lineages.
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Affiliation(s)
- Sophia A Wild
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson WayCambridgeUnited Kingdom
| | - Ian G Cannell
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson WayCambridgeUnited Kingdom
| | - Ashley Nicholls
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson WayCambridgeUnited Kingdom
| | - Katarzyna Kania
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson WayCambridgeUnited Kingdom
| | - Dario Bressan
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson WayCambridgeUnited Kingdom
| | - Gregory J Hannon
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson WayCambridgeUnited Kingdom
| | - Kirsty Sawicka
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson WayCambridgeUnited Kingdom
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Hollands C, Shannon VL, Sawicka K, Vanguelova EI, Benham SE, Shaw LJ, Clark JM. Management impacts on the dissolved organic carbon release from deadwood, ground vegetation and the forest floor in a temperate Oak woodland. Sci Total Environ 2022; 805:150399. [PMID: 34818782 DOI: 10.1016/j.scitotenv.2021.150399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/13/2021] [Accepted: 09/13/2021] [Indexed: 06/13/2023]
Abstract
The forest floor is often considered the most important source of dissolved organic carbon (DOC) in forest soils, yet little is known about the relative contribution from different forest floor layers, understorey vegetation and deadwood. Here, we determine the carbon stocks and potential DOC production from forest materials: deadwood, ground vegetation, leaf litter, the fermentation layer and top mineral soil (Ah horizon), and further assess the impact of management. Our research is based on long-term monitoring plots in a temperate deciduous woodland, with one set of plots actively managed by thinning, understorey scrub and deadwood removal, and another set that were not managed in 23 years. We examined long-term data and a spatial survey of forest materials to estimate the relative carbon stocks and concentrations and fluxes of DOC released from these different pools. Long-term soil water monitoring revealed a large difference in median DOC concentrations between the unmanaged (43.8 mg L-1) and managed (18.4 mg L-1) sets of plots at 10 cm depth over six years, with the median DOC concentration over twice as high in the unmanaged plots. In our spatial survey, a significantly larger cumulative flux of DOC was released from the unmanaged than the managed site, with 295.5 and 230.3 g m-2, respectively. Whilst deadwood and leaf litter released the greatest amount of DOC per unit mass, when volume of the material was considered, leaf litter contributed most to DOC flux, with deadwood contributing least. Likewise, there were significant differences in the carbon stocks held by different forest materials that were dependent on site. Vegetation and the fermentation layer held more carbon in the managed site than unmanaged, whilst the opposite occurred in deadwood and the Ah horizon. These findings indicate that management affects the allocation of carbon stored and DOC released between different forest materials.
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Affiliation(s)
- C Hollands
- Soil Research Centre, Department of Geography and Environmental Science, University of Reading, Whiteknights, PO Box 227, Reading RG6 6AB, UK
| | - V L Shannon
- Soil Research Centre, Department of Geography and Environmental Science, University of Reading, Whiteknights, PO Box 227, Reading RG6 6AB, UK.
| | - K Sawicka
- Soil Research Centre, Department of Geography and Environmental Science, University of Reading, Whiteknights, PO Box 227, Reading RG6 6AB, UK; UK Centre for Ecology & Hydrology, Environment Centre Wales, Deiniol Road, Bangor LL57 2UW, UK
| | - E I Vanguelova
- Centre for Forestry and Climate Change, Forest Research, Alice Holt Lodge, Farnham, Surrey, GU10 4LH, UK
| | - S E Benham
- Centre for Forestry and Climate Change, Forest Research, Alice Holt Lodge, Farnham, Surrey, GU10 4LH, UK
| | - L J Shaw
- Soil Research Centre, Department of Geography and Environmental Science, University of Reading, Whiteknights, PO Box 227, Reading RG6 6AB, UK
| | - J M Clark
- Soil Research Centre, Department of Geography and Environmental Science, University of Reading, Whiteknights, PO Box 227, Reading RG6 6AB, UK
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4
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Funnell T, O’Flanagan CH, Williams MJ, McPherson A, McKinney S, Kabeer F, Lee H, Salehi S, Vázquez-García I, Shi H, Leventhal E, Masud T, Eirew P, Yap D, Zhang AW, Lim JLP, Wang B, Brimhall J, Biele J, Ting J, Au V, Van Vliet M, Liu YF, Beatty S, Lai D, Pham J, Grewal D, Abrams D, Havasov E, Leung S, Bojilova V, Moore RA, Rusk N, Uhlitz F, Ceglia N, Weiner AC, Zaikova E, Douglas JM, Zamarin D, Weigelt B, Kim SH, Da Cruz Paula A, Reis-Filho JS, Martin SD, Li Y, Xu H, de Algara TR, Lee SR, Llanos VC, Huntsman DG, McAlpine JN, Shah SP, Aparicio S, Cannell IG, Casbolt H, Jauset C, Kovačević T, Mulvey CM, Nugent F, Ribes MP, Pearson I, Qosaj F, Sawicka K, Wild SA, Williams E, Laks E, Smith A, Lai D, Roth A, Balasubramanian S, Lee M, Bodenmiller B, Burger M, Kuett L, Tietscher S, Windhager J, Boyden ES, Alon S, Cui Y, Emenari A, Goodwin DR, Karagiannis ED, Sinha A, Wassie AT, Caldas C, Bruna A, Callari M, Greenwood W, Lerda G, Eyal-Lubling Y, Rueda OM, Shea A, Harris O, Becker R, Grimaldo F, Harris S, Vogl SL, Joyce JA, Watson SS, Tavare S, Dinh KN, Fisher E, Kunes R, Walton NA, Al Sa’d M, Chornay N, Dariush A, González-Solares EA, González-Fernández C, Yoldaş AK, Miller N, Zhuang X, Fan J, Lee H, Sepúlveda LA, Xia C, Zheng P, Shah SP, Aparicio S. Single-cell genomic variation induced by mutational processes in cancer. Nature 2022; 612:106-115. [PMID: 36289342 PMCID: PMC9712114 DOI: 10.1038/s41586-022-05249-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/17/2022] [Indexed: 12/15/2022]
Abstract
How cell-to-cell copy number alterations that underpin genomic instability1 in human cancers drive genomic and phenotypic variation, and consequently the evolution of cancer2, remains understudied. Here, by applying scaled single-cell whole-genome sequencing3 to wild-type, TP53-deficient and TP53-deficient;BRCA1-deficient or TP53-deficient;BRCA2-deficient mammary epithelial cells (13,818 genomes), and to primary triple-negative breast cancer (TNBC) and high-grade serous ovarian cancer (HGSC) cells (22,057 genomes), we identify three distinct 'foreground' mutational patterns that are defined by cell-to-cell structural variation. Cell- and clone-specific high-level amplifications, parallel haplotype-specific copy number alterations and copy number segment length variation (serrate structural variations) had measurable phenotypic and evolutionary consequences. In TNBC and HGSC, clone-specific high-level amplifications in known oncogenes were highly prevalent in tumours bearing fold-back inversions, relative to tumours with homologous recombination deficiency, and were associated with increased clone-to-clone phenotypic variation. Parallel haplotype-specific alterations were also commonly observed, leading to phylogenetic evolutionary diversity and clone-specific mono-allelic expression. Serrate variants were increased in tumours with fold-back inversions and were highly correlated with increased genomic diversity of cellular populations. Together, our findings show that cell-to-cell structural variation contributes to the origins of phenotypic and evolutionary diversity in TNBC and HGSC, and provide insight into the genomic and mutational states of individual cancer cells.
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Affiliation(s)
- Tyler Funnell
- grid.5386.8000000041936877XTri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY USA ,grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Ciara H. O’Flanagan
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Marc J. Williams
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Andrew McPherson
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Steven McKinney
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Farhia Kabeer
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada ,grid.17091.3e0000 0001 2288 9830Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia Canada
| | - Hakwoo Lee
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada ,grid.17091.3e0000 0001 2288 9830Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia Canada
| | - Sohrab Salehi
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Ignacio Vázquez-García
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Hongyu Shi
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Emily Leventhal
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Tehmina Masud
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Peter Eirew
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Damian Yap
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Allen W. Zhang
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Jamie L. P. Lim
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Beixi Wang
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Jazmine Brimhall
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Justina Biele
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Jerome Ting
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Vinci Au
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Michael Van Vliet
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Yi Fei Liu
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Sean Beatty
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Daniel Lai
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada ,grid.17091.3e0000 0001 2288 9830Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia Canada
| | - Jenifer Pham
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Diljot Grewal
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Douglas Abrams
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Eliyahu Havasov
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Samantha Leung
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Viktoria Bojilova
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Richard A. Moore
- grid.434706.20000 0004 0410 5424Michael Smith Genome Sciences Centre, Vancouver, British Columbia Canada
| | - Nicole Rusk
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Florian Uhlitz
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Nicholas Ceglia
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Adam C. Weiner
- grid.5386.8000000041936877XTri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY USA ,grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Elena Zaikova
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - J. Maxwell Douglas
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Dmitriy Zamarin
- grid.51462.340000 0001 2171 9952GYN Medical Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Britta Weigelt
- grid.51462.340000 0001 2171 9952Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Sarah H. Kim
- grid.51462.340000 0001 2171 9952Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Arnaud Da Cruz Paula
- grid.51462.340000 0001 2171 9952Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Jorge S. Reis-Filho
- grid.51462.340000 0001 2171 9952Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Spencer D. Martin
- grid.17091.3e0000 0001 2288 9830Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia Canada
| | - Yangguang Li
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Hong Xu
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Teresa Ruiz de Algara
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - So Ra Lee
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - Viviana Cerda Llanos
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada
| | - David G. Huntsman
- grid.248762.d0000 0001 0702 3000Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia Canada ,grid.17091.3e0000 0001 2288 9830Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia Canada
| | - Jessica N. McAlpine
- grid.17091.3e0000 0001 2288 9830Department of Gynecology and Obstetrics, University of British Columbia, Vancouver, British Columbia Canada
| | | | - Sohrab P. Shah
- grid.51462.340000 0001 2171 9952Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Samuel Aparicio
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada. .,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
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Hale CR, Sawicka K, Mora K, Fak JJ, Kang JJ, Cutrim P, Cialowicz K, Carroll TS, Darnell RB. FMRP regulates mRNAs encoding distinct functions in the cell body and dendrites of CA1 pyramidal neurons. eLife 2021; 10:71892. [PMID: 34939924 PMCID: PMC8820740 DOI: 10.7554/elife.71892] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 12/13/2021] [Indexed: 12/02/2022] Open
Abstract
Neurons rely on translation of synaptic mRNAs in order to generate activity-dependent changes in plasticity. Here, we develop a strategy combining compartment-specific crosslinking immunoprecipitation (CLIP) and translating ribosome affinity purification (TRAP) in conditionally tagged mice to precisely define the ribosome-bound dendritic transcriptome of CA1 pyramidal neurons. We identify CA1 dendritic transcripts with differentially localized mRNA isoforms generated by alternative polyadenylation and alternative splicing, including many that have altered protein-coding capacity. Among dendritic mRNAs, FMRP targets were found to be overrepresented. Cell-type-specific FMRP-CLIP and TRAP in microdissected CA1 neuropil revealed 383 dendritic FMRP targets and suggests that FMRP differentially regulates functionally distinct modules in CA1 dendrites and cell bodies. FMRP regulates ~15–20% of mRNAs encoding synaptic functions and 10% of chromatin modulators, in the dendrite and cell body, respectively. In the absence of FMRP, dendritic FMRP targets had increased ribosome association, consistent with a function for FMRP in synaptic translational repression. Conversely, downregulation of FMRP targets involved in chromatin regulation in cell bodies suggests a role for FMRP in stabilizing mRNAs containing stalled ribosomes in this compartment. Together, the data support a model in which FMRP regulates the translation and expression of synaptic and nuclear proteins within different compartments of a single neuronal cell type. The brain has over 100 billion neurons that together form vast networks to relay electrical signals. A neuron receives electrical signals from other neurons via branch-like structures known as dendrites. The signals then travel into the cell body of the neuron. If their sum reaches a threshold, they fire a new signal through a single outgoing projection known as the axon, which is connected to the dendrites of other neurons. A single neuron has thousands of dendrites that each receive inputs from different axons, and it is thought that the strengthening and weakening of these dendritic connections enables us to learn and store memories. Dendrites are filled with molecules known as messenger ribonucleic acids (mRNAs) that act as templates to make proteins. Axonal signals reaching the dendrites can trigger these mRNAs to make new proteins that strengthen or weaken the connections between the two neurons, which is believed to be necessary for generating long-term memories. A protein called FMRP is found in both the cell body and dendrites and is able to bind to and regulate the ability of mRNAs to make proteins. A loss of the gene encoding FMRP is the most common cause of inherited intellectual disability and autism in humans, but it remains unclear precisely what role this protein plays in learning and memory. Hale et al. used genetic and bioinformatics approaches to specifically study mRNAs in the dendrites and the cell body of a specific type of neuron involved in memory in mice. The experiments revealed that FMRP played different roles in the dendrites and cell body. In the dendrites, FMRP interacted with mRNAs encoding proteins that can change how the neuron responds to a signal from a neighboring neuron and may alter how strong the connections between the neurons are. On the other hand, FMRP in the cell body modulated the activities of mRNAs encoding proteins that in turn regulate the activities of genes. These findings change the way we think about how memory may work by suggesting that groups of mRNAs encoding proteins with certain activities are found in distinct parts of a single neuron. These observations offer new ways to approach intellectual disabilities and autism spectrum disorder.
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Affiliation(s)
- Caryn R Hale
- Laboratory of Molecular Neuro-Oncology, Rockefeller University, New York, United States
| | - Kirsty Sawicka
- Laboratory of Molecular Neuro-Oncology, Rockefeller University, New York, United States
| | - Kevin Mora
- Laboratory of Molecular Neuro-Oncology, Rockefeller University, New York, United States
| | - John J Fak
- Laboratory of Molecular Neuro-Oncology, Rockefeller University, New York, United States
| | - Jin Joo Kang
- Laboratory of Molecular Neuro-Oncology, Rockefeller University, New York, United States
| | - Paula Cutrim
- Laboratory of Molecular Neuro-Oncology, Rockefeller University, New York, United States
| | - Katarzyna Cialowicz
- Bio-Imaging Resource Center, Rockefeller University, New York, United States
| | - Thomas S Carroll
- Bioinformatics Resouce Center, Rockefeller University, New York, United States
| | - Robert B Darnell
- Howard Hughes Medical Institute, Rockefeller University, New York, United States
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Orange DE, Yao V, Sawicka K, Fak J, Frank MO, Parveen S, Blachere NE, Hale C, Zhang F, Raychaudhuri S, Troyanskaya OG, Darnell RB. RNA Identification of PRIME Cells Predicting Rheumatoid Arthritis Flares. N Engl J Med 2020; 383:218-228. [PMID: 32668112 PMCID: PMC7546156 DOI: 10.1056/nejmoa2004114] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Rheumatoid arthritis, like many inflammatory diseases, is characterized by episodes of quiescence and exacerbation (flares). The molecular events leading to flares are unknown. METHODS We established a clinical and technical protocol for repeated home collection of blood in patients with rheumatoid arthritis to allow for longitudinal RNA sequencing (RNA-seq). Specimens were obtained from 364 time points during eight flares over a period of 4 years in our index patient, as well as from 235 time points during flares in three additional patients. We identified transcripts that were differentially expressed before flares and compared these with data from synovial single-cell RNA-seq. Flow cytometry and sorted-blood-cell RNA-seq in additional patients were used to validate the findings. RESULTS Consistent changes were observed in blood transcriptional profiles 1 to 2 weeks before a rheumatoid arthritis flare. B-cell activation was followed by expansion of circulating CD45-CD31-PDPN+ preinflammatory mesenchymal, or PRIME, cells in the blood from patients with rheumatoid arthritis; these cells shared features of inflammatory synovial fibroblasts. Levels of circulating PRIME cells decreased during flares in all 4 patients, and flow cytometry and sorted-cell RNA-seq confirmed the presence of PRIME cells in 19 additional patients with rheumatoid arthritis. CONCLUSIONS Longitudinal genomic analysis of rheumatoid arthritis flares revealed PRIME cells in the blood during the period before a flare and suggested a model in which these cells become activated by B cells in the weeks before a flare and subsequently migrate out of the blood into the synovium. (Funded by the National Institutes of Health and others.).
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Affiliation(s)
- Dana E Orange
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - Vicky Yao
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - Kirsty Sawicka
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - John Fak
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - Mayu O Frank
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - Salina Parveen
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - Nathalie E Blachere
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - Caryn Hale
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - Fan Zhang
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - Soumya Raychaudhuri
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - Olga G Troyanskaya
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
| | - Robert B Darnell
- From the Laboratory of Molecular Neuro-oncology, Rockefeller University (D.E.O., K.S., J.F., M.O.F., S.P., N.E.B., C.H., R.B.D.), the Hospital for Special Surgery (D.E.O.), and the Simons Foundation (O.G.T.) - all in New York; Rice University, Houston (V.Y.); Princeton University, Princeton, NJ (V.Y., O.G.T.); Howard Hughes Medical Institute, Chevy Chase, MD (N.E.B., R.B.D.); and the Divisions of Rheumatology and Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, and the Broad Institute, Cambridge - both in Massachusetts (F.Z., S.R.)
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7
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Sawicka K, Hale CR, Park CY, Fak JJ, Gresack JE, Van Driesche SJ, Kang JJ, Darnell JC, Darnell RB. FMRP has a cell-type-specific role in CA1 pyramidal neurons to regulate autism-related transcripts and circadian memory. eLife 2019; 8:e46919. [PMID: 31860442 PMCID: PMC6924960 DOI: 10.7554/elife.46919] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 12/02/2019] [Indexed: 12/14/2022] Open
Abstract
Loss of the RNA binding protein FMRP causes Fragile X Syndrome (FXS), the most common cause of inherited intellectual disability, yet it is unknown how FMRP function varies across brain regions and cell types and how this contributes to disease pathophysiology. Here we use conditional tagging of FMRP and CLIP (FMRP cTag CLIP) to examine FMRP mRNA targets in hippocampal CA1 pyramidal neurons, a critical cell type for learning and memory relevant to FXS phenotypes. Integrating these data with analysis of ribosome-bound transcripts in these neurons revealed CA1-enriched binding of autism-relevant mRNAs, and CA1-specific regulation of transcripts encoding circadian proteins. This contrasted with different targets in cerebellar granule neurons, and was consistent with circadian defects in hippocampus-dependent memory in Fmr1 knockout mice. These findings demonstrate differential FMRP-dependent regulation of mRNAs across neuronal cell types that may contribute to phenotypes such as memory defects and sleep disturbance associated with FXS.
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Affiliation(s)
- Kirsty Sawicka
- Laboratory of Molecular Neuro-OncologyThe Rockefeller UniversityNew YorkUnited States
| | - Caryn R Hale
- Laboratory of Molecular Neuro-OncologyThe Rockefeller UniversityNew YorkUnited States
| | - Christopher Y Park
- Laboratory of Molecular Neuro-OncologyThe Rockefeller UniversityNew YorkUnited States
| | - John J Fak
- Laboratory of Molecular Neuro-OncologyThe Rockefeller UniversityNew YorkUnited States
| | - Jodi E Gresack
- Laboratory of Molecular and Cellular NeuroscienceThe Rockefeller UniversityNew YorkUnited States
| | - Sarah J Van Driesche
- Laboratory of Molecular Neuro-OncologyThe Rockefeller UniversityNew YorkUnited States
| | - Jin Joo Kang
- Laboratory of Molecular Neuro-OncologyThe Rockefeller UniversityNew YorkUnited States
| | - Jennifer C Darnell
- Laboratory of Molecular Neuro-OncologyThe Rockefeller UniversityNew YorkUnited States
| | - Robert B Darnell
- Laboratory of Molecular Neuro-OncologyThe Rockefeller UniversityNew YorkUnited States
- Howard Hughes Medical InstituteChevy ChaseUnited States
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8
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Moore MJ, Blachere NE, Fak JJ, Park CY, Sawicka K, Parveen S, Zucker-Scharff I, Moltedo B, Rudensky AY, Darnell RB. ZFP36 RNA-binding proteins restrain T cell activation and anti-viral immunity. eLife 2018; 7:33057. [PMID: 29848443 PMCID: PMC6033538 DOI: 10.7554/elife.33057] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 05/26/2018] [Indexed: 01/07/2023] Open
Abstract
Dynamic post-transcriptional control of RNA expression by RNA-binding proteins (RBPs) is critical during immune response. ZFP36 RBPs are prominent inflammatory regulators linked to autoimmunity and cancer, but functions in adaptive immunity are less clear. We used HITS-CLIP to define ZFP36 targets in mouse T cells, revealing unanticipated actions in regulating T-cell activation, proliferation, and effector functions. Transcriptome and ribosome profiling showed that ZFP36 represses mRNA target abundance and translation, notably through novel AU-rich sites in coding sequence. Functional studies revealed that ZFP36 regulates early T-cell activation kinetics cell autonomously, by attenuating activation marker expression, limiting T cell expansion, and promoting apoptosis. Strikingly, loss of ZFP36 in vivo accelerated T cell responses to acute viral infection and enhanced anti-viral immunity. These findings uncover a critical role for ZFP36 RBPs in restraining T cell expansion and effector functions, and suggest ZFP36 inhibition as a strategy to enhance immune-based therapies. The immune system must quickly respond to anything that may cause disease – from cancerous cells to viruses. For instance, a type of white blood cell called a T cell patrols the body, looking for potential threats. If a T cell identifies such a threat, it “activates” and undergoes various changes so that it can help to eliminate the problem. One way that T cells change is by switching on different genes to make specific proteins. The information in the genes is first used as a template to produce a molecule called a messenger RNA (mRNA), which is then translated to build proteins. So-called RNA-binding proteins help control events before, during and after the translation stage in the process. Previous studies have shown that one particular RNA-binding protein, called ZFP36, controls the translation of proteins that are important for how the immune system recognizes the body’s own tissue and deals with cancer cells. However, it was less clear if it also helped T cells to activate and defeat viruses. Now, using cutting-edge technology, Moore et al. have identified thousands of new mRNAs controlled by ZFP36 in mice, many of which did indeed make proteins that help T cells activate and spread throughout the body. Further experiments showed that mice that lack ZFP36 in the T cells were much quicker at responding to viruses than other mice. This suggests that ZFP36 actually restrains T cells and slows down the body’s immune system. Knowing more about how T cells work could lead to new treatments for diseases; it may, for example, allow scientists to engineer T cells to better attack cancer cells, However, other studies have shown that mice without ZFP36 often go on to develop autoimmune diseases, which result from the immune system attacking healthy cells by mistake. As such, it seems that there is a fine line between improving the body’s immune system and increasing the risk of autoimmune diseases, and that RNA-binding proteins play an important role in managing this delicate balance.
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Affiliation(s)
- Michael J Moore
- Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, New York, United States
| | - Nathalie E Blachere
- Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, New York, United States
| | - John J Fak
- Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, New York, United States
| | - Christopher Y Park
- Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, New York, United States.,New York Genome Center, New York, United States
| | - Kirsty Sawicka
- Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, New York, United States
| | - Salina Parveen
- Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, New York, United States
| | - Ilana Zucker-Scharff
- Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, New York, United States
| | - Bruno Moltedo
- Howard Hughes Medical Institute, Ludwig Center at Memorial Sloan Kettering Cancer Center, New York, United States
| | - Alexander Y Rudensky
- Howard Hughes Medical Institute, Ludwig Center at Memorial Sloan Kettering Cancer Center, New York, United States
| | - Robert B Darnell
- Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, New York, United States.,New York Genome Center, New York, United States
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9
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Nectow AR, Moya MV, Ekstrand MI, Mousa A, McGuire KL, Sferrazza CE, Field BC, Rabinowitz GS, Sawicka K, Liang Y, Friedman JM, Heintz N, Schmidt EF. Rapid Molecular Profiling of Defined Cell Types Using Viral TRAP. Cell Rep 2017; 19:655-667. [PMID: 28423326 DOI: 10.1016/j.celrep.2017.03.048] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 02/11/2017] [Accepted: 03/14/2017] [Indexed: 12/13/2022] Open
Abstract
Translational profiling methodologies enable the systematic characterization of cell types in complex tissues, such as the mammalian brain, where neuronal isolation is exceptionally difficult. Here, we report a versatile strategy for profiling CNS cell types in a spatiotemporally restricted fashion by engineering a Cre-dependent adeno-associated virus expressing an EGFP-tagged ribosomal protein (AAV-FLEX-EGFPL10a) to access translating mRNAs by translating ribosome affinity purification (TRAP). We demonstrate the utility of this AAV to target a variety of genetically and anatomically defined neural populations expressing Cre recombinase and illustrate the ability of this viral TRAP (vTRAP) approach to recapitulate the molecular profiles obtained by bacTRAP in corticothalamic neurons across multiple serotypes. Furthermore, spatially restricting adeno-associated virus (AAV) injections enabled the elucidation of regional differences in gene expression within this cell type. Altogether, these results establish the broad applicability of the vTRAP strategy for the molecular dissection of any CNS or peripheral cell type that can be engineered to express Cre.
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Affiliation(s)
- Alexander R Nectow
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA; Princeton Neuroscience Institute, Princeton University, Lot 20 Washington Road, Princeton, NJ 08544, USA.
| | - Maria V Moya
- Laboratory of Molecular Biology, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Mats I Ekstrand
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Awni Mousa
- Laboratory of Molecular Biology, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Kelly L McGuire
- Laboratory of Molecular Biology, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Caroline E Sferrazza
- Laboratory of Molecular Biology, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Bianca C Field
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Gabrielle S Rabinowitz
- Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA
| | - Kirsty Sawicka
- Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA
| | - Yupu Liang
- Hospital Informatics, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA
| | - Jeffrey M Friedman
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Nathaniel Heintz
- Laboratory of Molecular Biology, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA.
| | - Eric F Schmidt
- Laboratory of Molecular Biology, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA.
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Sawicka K, Rowe EC, Evans CD, Monteith DT, Wade AJ. Modelling impacts of atmospheric deposition and temperature on long-term DOC trends. Sci Total Environ 2017; 578:323-336. [PMID: 27838058 DOI: 10.1016/j.scitotenv.2016.10.164] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Revised: 10/20/2016] [Accepted: 10/20/2016] [Indexed: 06/06/2023]
Abstract
It is increasingly recognised that widespread and substantial increases in Dissolved organic carbon (DOC) concentrations in remote surface, and soil, waters in recent decades are linked to declining acid deposition. Effects of rising pH and declining ionic strength on DOC solubility have been proposed as potential dominant mechanisms. However, since DOC in these systems is derived mainly from recently-fixed carbon, and since organic matter decomposition rates are considered sensitive to temperature, uncertainty persists over the extent to which other drivers that could influence DOC production. Such potential drivers include fertilisation by nitrogen (N) and global warming. We therefore ran the dynamic soil chemistry model MADOC for a range of UK soils, for which time series data are available, to consider the likely relative importance of decreased deposition of sulphate and chloride, accumulation of reactive N, and higher temperatures, on soil DOC production in different soils. Modelled patterns of DOC change generally agreed favourably with measurements collated over 10-20years, but differed markedly between sites. While the acidifying effect of sulphur deposition appeared to be the predominant control on the observed soil water DOC trends in all the soils considered other than a blanket peat, the model suggested that over the long term, the effects of nitrogen deposition on N-limited soils may have been sufficient to raise the "acid recovery DOC baseline" significantly. In contrast, reductions in non-marine chloride deposition and effects of long term warming appeared to have been relatively unimportant. The suggestion that future DOC concentrations might exceed preindustrial levels as a consequence of nitrogen pollution has important implications for drinking water catchment management and the setting and pursuit of appropriate restoration targets, but findings still require validation from reliable centennial-scale proxy records, such as those being developed using palaeolimnological techniques.
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Affiliation(s)
- K Sawicka
- Soil Research Centre, Department of Geography and Environmental Science, University of Reading, Reading RG6 6DW, UK; Centre for Ecology and Hydrology, Environment Centre Wales, Deiniol Road, Bangor LL57 2UW, UK.
| | - E C Rowe
- Centre for Ecology and Hydrology, Environment Centre Wales, Deiniol Road, Bangor LL57 2UW, UK
| | - C D Evans
- Centre for Ecology and Hydrology, Environment Centre Wales, Deiniol Road, Bangor LL57 2UW, UK
| | - D T Monteith
- Environmental Change Network, Centre for Ecology and Hydrology, Lancaster Environment Centre, Bailrigg, Lancaster LA1 4AP, UK
| | - A J Wade
- Soil Research Centre, Department of Geography and Environmental Science, University of Reading, Reading RG6 6DW, UK
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Cambronero Cortinas E, Marini C, Sorrentino R, Hassan Y, Badea RG, Heseltine TD, Laymouna R, Santoro C, Sawicka K, Gonzalez Garcia AE, Bret Zurita M, Garcia Hamilton D, Corbi Pascual MJ, Ruiz Cantador J, Oliver Ruiz JM, Ancona F, Stella S, Rosa I, Spartera M, Melisurgo G, Pappalardo F, Margonato A, Agricola E, Lo Iudice F, Niglio T, Stabile E, Galderisi M, Trimarco B, Elsharkawy E, Laymouna R, Elgowelly M, Almaghraby A, Enache R, Serban M, Gherasim D, Platon P, Ginghina C, Lima E, Cino-Polla JM, Elsharkawy E, Hassan Y, Elgowelly M, Almaghraby A, Ilardi F, Lembo M, Lo Iudice F, Cirillo P, Esposito G, Trimarco B, Galderisi M, Prasal M, Tomaszewski M, Wojtkowska A, Tomaszewski A. Clinical Cases: Ischaemic heart disease899Asymptomatic very late presentation of ALCAPA900Usefulness of 3-dimensional contrast echocardiography in the diagnosis of a left ventricular pseudoaneurysm after acute myocardial infarction901Peri-procedural jailing of septal perforator branch retrospectively identified using speckle tracking echocardiography902Anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA)903Coronary artery compression by aneurysmal pulmonary artery904A rare complication of myocardial infarction: pseudoaneurysm leading to ischaemic VSD905Single coronary ostium from the right aortic sinus of valsalva906Incremental value of regional longitudinal strain upon visual assessment for detection of ischemia during dobutamine stress echocardiography907One serious complication after myocardial infarction, isn't that enough? Eur Heart J Cardiovasc Imaging 2016. [DOI: 10.1093/ehjci/jew257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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12
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Sahota T, Sawicka K, Taylor J, Tanna S. Effect of varying molecular weight of dextran on acrylic-derivatized dextran and concanavalin A glucose-responsive materials for closed-loop insulin delivery. Drug Dev Ind Pharm 2011; 37:351-8. [PMID: 21244237 DOI: 10.3109/03639045.2010.513983] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
AIM Dextran methacrylate (dex-MA) and concanavalin A (con A)-methacrylamide were photopolymerized to produce covalently cross-linked glucose-sensitive gels for the basis of an implantable closed-loop insulin delivery device. METHODS The viscoelastic properties of these polymerized gels were tested rheologically in the non-destructive oscillatory mode within the linear viscoelastic range at glucose concentrations between 0 and 5% (w/w). RESULTS For each cross-linked gel, as the glucose concentration was raised, a decrease in storage modulus, loss modulus and complex viscosity (compared at 1 Hz) was observed, indicating that these materials were glucose responsive. The higher molecular weight acrylic-derivatized dextrans [degree of substitution (DS) 3 and 8%] produced higher complex viscosities across the glucose concentration range. CONCLUSIONS These studies coupled with in vitro diffusion experiments show that dex-MA of 70 kDa and DS (3%) was the optimum mass average molar mass to produce gels that show reduced component leach, glucose responsiveness, and insulin transport useful as part of a self-regulating insulin delivery device.
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13
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Burrows C, Abd Latip N, Lam SJ, Carpenter L, Sawicka K, Tzolovsky G, Gabra H, Bushell M, Glover DM, Willis AE, Blagden SP. The RNA binding protein Larp1 regulates cell division, apoptosis and cell migration. Nucleic Acids Res 2010; 38:5542-53. [PMID: 20430826 PMCID: PMC2938220 DOI: 10.1093/nar/gkq294] [Citation(s) in RCA: 82] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2010] [Revised: 04/01/2010] [Accepted: 04/07/2010] [Indexed: 01/11/2023] Open
Abstract
The RNA binding protein Larp1 was originally shown to be involved in spermatogenesis, embryogenesis and cell-cycle progression in Drosophila. Our data show that mammalian Larp1 is found in a complex with poly A binding protein and eukaryote initiation factor 4E and is associated with 60S and 80S ribosomal subunits. A reduction in Larp1 expression by siRNA inhibits global protein synthesis rates and results in mitotic arrest and delayed cell migration. Consistent with these data we show that Larp1 protein is present at the leading edge of migrating cells and interacts directly with cytoskeletal components. Taken together, these data suggest a role for Larp1 in facilitating the synthesis of proteins required for cellular remodelling and migration.
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Affiliation(s)
- Carla Burrows
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
| | - Normala Abd Latip
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
| | - Sarah-Jane Lam
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
| | - Lee Carpenter
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
| | - Kirsty Sawicka
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
| | - George Tzolovsky
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
| | - Hani Gabra
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
| | - Martin Bushell
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
| | - David M. Glover
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
| | - Anne E. Willis
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
| | - Sarah P. Blagden
- Department of Molecular Oncology, Imperial College, Hammersmith Campus, Du Cane Road, London W12 0HS, NHS Blood and Transplant, John Radcliffe Hospital, Oxford, OX3 9BQ, School of Pharmacy, Nottingham University, Nottingham UK NG7 2RD and Department of Genetics, Downing Site, Cambridge CB2 3EH, UK
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14
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Cobbold LC, Wilson LA, Sawicka K, King HA, Kondrashov AV, Spriggs KA, Bushell M, Willis AE. Upregulated c-myc expression in multiple myeloma by internal ribosome entry results from increased interactions with and expression of PTB-1 and YB-1. Oncogene 2010; 29:2884-91. [PMID: 20190818 DOI: 10.1038/onc.2010.31] [Citation(s) in RCA: 81] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The 5' untranslated region of the proto-oncogene c-myc contains an internal ribosome entry segment (IRES) and c-myc translation can therefore be initiated by internal ribosome entry as well as by cap-dependent mechanisms. It has been shown previously that in patients with multiple myeloma (MM) and in MM-derived cell lines there is a C to T mutation in the c-myc IRES that increases IRES activity and the corresponding synthesis of c-myc protein although it is not fully understood how this occurs. Our data show that two recently identified c-myc IRES trans-acting factors, Y-box binding protein 1 (YB-1) and polypyrimidine tract-binding protein 1 (PTB-1), bind more strongly (approximately 3.5- and 2-fold respectively) to the mutated version of the c-myc IRES and in vitro these proteins exert their effect synergistically to stimulate IRES activity of the mutant IRES 4.5-fold more than the wild-type version. Importantly, we show that there is a strong correlation between the expression of PTB-1, YB-1 and c-myc in MM-derived cell lines, suggesting that by reducing either PTB-1 or YB-1 protein levels it is possible to decrease c-myc expression and inhibit cell proliferation of MM-derived cell lines.
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Affiliation(s)
- L C Cobbold
- Centre for Biomolecular Sciences, School of Pharmacy, University of Nottingham, Nottingham, UK
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15
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Sawicka K, Sahota T, Taylor MJ, Tanna S. Development of a reversed-phase high-performance liquid chromatography method for the analysis of components from a closed-loop insulin delivery system. J Chromatogr A 2006; 1132:117-23. [PMID: 16901496 DOI: 10.1016/j.chroma.2006.07.053] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2006] [Revised: 07/11/2006] [Accepted: 07/25/2006] [Indexed: 11/30/2022]
Abstract
A reversed-phase HPLC method has been developed which enables separation of the three components of a closed-loop insulin delivery system, namely concanavalin A methacrylamide (Con A-MA), dextran methacrylate (Dex-MA) and bovine insulin. The analysis of Con A-MA represents a significant challenge due to the formation of multiple conformations on contact with the chromatographic surface and the mobile phase. The extent of conformational change is shown to be dependent on a number of parameters: column temperature, mobile phase pH, contact time with the chromatographic surface, salt type and concentration and the organic modifier. By manipulation of these variables, protein denaturation can be minimised and recovery improved.
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Affiliation(s)
- Kirsty Sawicka
- Leicester School of Pharmacy, Faculty of Health and Life Sciences, De Montfort University, The Gateway, Leicester LE1 9BH, UK
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16
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Tanna S, Sahota TS, Sawicka K, Taylor MJ. The effect of degree of acrylic derivatisation on dextran and concanavalin A glucose-responsive materials for closed-loop insulin delivery. Biomaterials 2006; 27:4498-507. [PMID: 16678254 DOI: 10.1016/j.biomaterials.2006.04.007] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2005] [Accepted: 04/04/2006] [Indexed: 11/20/2022]
Abstract
Formulations of dextran methacrylate (dex-MA) and concanavalin A methacrylamide (con A-MA) were photo-polymerized to produce covalently cross-linked glucose-responsive materials for the basis of a closed-loop insulin delivery device. The viscoelastic properties of these polymerised materials were tested rheologically in the non-destructive oscillatory mode within the linear viscoelastic range at glucose concentrations between 0% and 5% w/w. The degree of acrylic substitution was varied for the dex-MA and con A-MA, and as the formulation glucose concentration was raised, a graded decrease in storage modulus, loss modulus and complex viscosity when compared at 1 Hz was observed for each cross-linked material. Increasing the degree of substitution (DS) of the derivatised dextran produced viscosity profiles at higher values throughout the glucose concentration range. A comparison with non-polymerised mixtures shows similar rheological properties but at much lower values across the chosen glucose concentration range. High-pressure liquid chromatography analyses and in vitro diffusion experiments showed that there were optimum degrees of derivatisation to minimise dex-MA and con A-MA component leach from the material. The in vitro diffusion experiments also showed that differential delivery of insulin in response to glucose was possible with candidate polymerised glucose-responsive formulations, thus highlighting the potential of such a novel glucose-sensitive material to be used as part of implantable closed-loop insulin delivery device.
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Affiliation(s)
- Sangeeta Tanna
- Leicester School of Pharmacy, Faculty of Health and Life Sciences, De Montfort University, The Gateway, Leicester LE1 9BH, UK.
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17
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Tanna S, Joan Taylor M, Sahota TS, Sawicka K. Glucose-responsive UV polymerised dextran–concanavalin A acrylic derivatised mixtures for closed-loop insulin delivery. Biomaterials 2006; 27:1586-97. [PMID: 16139881 DOI: 10.1016/j.biomaterials.2005.08.011] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2005] [Accepted: 08/11/2005] [Indexed: 10/25/2022]
Abstract
A novel UV polymerised glucose-responsive mixture containing concanavalin A (con A) and dextran was synthesised and characterised as a "smart" biomaterial to form the basis of a closed-loop delivery device. Dextran and con A precursors were modified with acrylic side groups and then UV polymerised to produce covalently bonded mixtures which were examined by FTIR. The viscoelastic properties of these polymerised mixtures containing glucose concentrations between 0% and 5% w/w were also examined using oscillatory rheometry within the linear viscoelastic range across a frequency range of 0.01-50 Hz. As the formulation glucose concentration was raised, a graded decrease in storage modulus, loss modulus and complex viscosity when compared at 1 Hz was observed. Increasing the mixture irradiation time produced viscosity profiles at higher values throughout the glucose concentration range. The subsequent testing of such formulations in in vitro diffusion experiments revealed that the leaching of the mixture components is formulation dependent and is restricted significantly in the covalently bonded mixtures. Insulin delivery in response to glucose in the physiologically relevant glucose concentration range was demonstrated using the novel polymerised mixture at 37 degrees C. The performance of this covalently cross-linked glucose-responsive biomaterial has been improved in terms of increased mixture stability with reduced component leaching. This could, therefore be used as the basis of the design of a closed-loop drug delivery device for therapeutic agents used for the management of diabetes mellitus.
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Affiliation(s)
- Sangeeta Tanna
- Leicester School of Pharmacy, Faculty of Health and Life Sciences, De Montfort University, The Gateway, Leicester LE1 9BH, UK.
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18
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Böhm M, Sawicka K, Siebrasse JP, Brehmer-Fastnacht A, Peters R, Klempnauer KH. The transformation suppressor protein Pdcd4 shuttles between nucleus and cytoplasm and binds RNA. Oncogene 2003; 22:4905-10. [PMID: 12894233 DOI: 10.1038/sj.onc.1206710] [Citation(s) in RCA: 83] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The Pdcd4 gene has originally been isolated in a search for genes that are activated in cells undergoing apoptosis. Independent of these studies, the Pdcd4 gene has been implicated in the suppression of tumor-promoter-mediated transformation of keratinocytes and as a downstream target of Myb in hematopoietic cells. The Pdcd4 protein has weak homology to the eucaryotic translation initiation factor eIF4G and has been shown to interact with certain translation initiation factors. To explore the molecular function of the Pdcd4 protein, we have studied its subcellular localization. We show that the Pdcd4 protein is a predominantly nuclear protein under normal growth conditions and that it is exported from the nucleus by a leptomycin B-sensitive mechanism upon serum withdrawal. The protein contains two nuclear export signals, one of which is very potent. In addition, we demonstrate that the Pdcd4 protein has RNA-binding activity and that the sequences involved in RNA-binding are located in the amino-terminal part of the protein. Taken together, our data raise the possibility that Pdcd4 is involved in some aspect of nuclear RNA metabolism in addition to its suspected role in protein translation.
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Affiliation(s)
- Maret Böhm
- Institut für Biochemie, Westfälische-Wilhelms-Universität Münster, Wilhelm-Klemm-Str. 2, D-48149 Münster1, Germany
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19
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Fitko R, Chamski J, Sawicka K. [Localization of pituitary gonadotropins in sheep ovaries]. Endokrynol Pol 1968; 19:657-69. [PMID: 4179443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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