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Jasani B, Schildhaus HU, Dodson A, Parry S, Clare-Antony S, Atkey N, Taniere P. 7P Global ring study determining reproducibility & comparability of CLDN18 testing assays in gastric cancer. ESMO Open 2023. [DOI: 10.1016/j.esmoop.2023.100973] [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] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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2
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Wong S, Hon S, Parry S, De Miguel Garcia C. Image analysis comparison of nerve staining by use of methylene blue, tissue marker, or food dye. Vet Anaesth Analg 2023. [DOI: 10.1016/j.vaa.2022.09.033] [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] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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3
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Cavanagh C, Parry S, Fraser C, Dominiak BC. An acute case of Pimelea elongata toxicity in cattle in western New South Wales. Aust Vet J 2023; 101:35-40. [PMID: 36345985 DOI: 10.1111/avj.13216] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 10/19/2022] [Accepted: 10/24/2022] [Indexed: 11/10/2022]
Abstract
In May 2019, 96 cattle died from Pimelea toxicity in a period of 19 days after potential exposure, with the first deaths occurring within 5 days. After examining the circumstances, we suspect that several factors contributed to the deaths. These included that recently purchased stock and transported had access to flooded land containing Pimelea elongata. This weed species contains simplexin and 18 other compounds. Roots, flowers and seeds are significantly more toxic than the stem, branches and leaves. We suspect that thirsty and hungry stock consumed seed and roots from flooded pastures and consumed lethal doses of simplexin. Blood tests were not good indicators of the conditions. Management strategies are suggested.
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Affiliation(s)
- C Cavanagh
- Western Local Land Services, now Kidman Way Veterinary Surgery, Bourke, New South Wales, 2840, Australia
| | - S Parry
- NorthWest Vets, Coonamble, New South Wales, 2829, Australia
| | - C Fraser
- NSW Department of Primary Industries, The Ian Armstrong Building, Orange, New South Wales, 2800, Australia
| | - B C Dominiak
- NSW Department of Primary Industries, The Ian Armstrong Building, Orange, New South Wales, 2800, Australia
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Jarosinski S, Simon B, Baetge C, Parry S, Araos J. The effects of prophylactic dexmedetomidine administration on general anesthesia recovery quality in healthy dogs. Vet Anaesth Analg 2021. [DOI: 10.1016/j.vaa.2021.08.024] [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] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Bakken TE, van Velthoven CTJ, Menon V, Hodge RD, Yao Z, Nguyen TN, Graybuck LT, Horwitz GD, Bertagnolli D, Goldy J, Yanny AM, Garren E, Parry S, Casper T, Shehata SI, Barkan ER, Szafer A, Levi BP, Dee N, Smith KA, Sunkin SM, Bernard A, Phillips J, Hawrylycz MJ, Koch C, Murphy GJ, Lein E, Zeng H, Tasic B. Single-cell and single-nucleus RNA-seq uncovers shared and distinct axes of variation in dorsal LGN neurons in mice, non-human primates, and humans. eLife 2021; 10:e64875. [PMID: 34473054 PMCID: PMC8412930 DOI: 10.7554/elife.64875] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [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: 11/13/2020] [Accepted: 07/18/2021] [Indexed: 12/11/2022] Open
Abstract
Abundant evidence supports the presence of at least three distinct types of thalamocortical (TC) neurons in the primate dorsal lateral geniculate nucleus (dLGN) of the thalamus, the brain region that conveys visual information from the retina to the primary visual cortex (V1). Different types of TC neurons in mice, humans, and macaques have distinct morphologies, distinct connectivity patterns, and convey different aspects of visual information to the cortex. To investigate the molecular underpinnings of these cell types, and how these relate to differences in dLGN between human, macaque, and mice, we profiled gene expression in single nuclei and cells using RNA-sequencing. These efforts identified four distinct types of TC neurons in the primate dLGN: magnocellular (M) neurons, parvocellular (P) neurons, and two types of koniocellular (K) neurons. Despite extensively documented morphological and physiological differences between M and P neurons, we identified few genes with significant differential expression between transcriptomic cell types corresponding to these two neuronal populations. Likewise, the dominant feature of TC neurons of the adult mouse dLGN is high transcriptomic similarity, with an axis of heterogeneity that aligns with core vs. shell portions of mouse dLGN. Together, these data show that transcriptomic differences between principal cell types in the mature mammalian dLGN are subtle relative to the observed differences in morphology and cortical projection targets. Finally, alignment of transcriptome profiles across species highlights expanded diversity of GABAergic neurons in primate versus mouse dLGN and homologous types of TC neurons in primates that are distinct from TC neurons in mouse.
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Affiliation(s)
| | | | - Vilas Menon
- Allen Institute for Brain ScienceSeattleUnited States
- Department of Neurology, Columbia University Medical CenterNew YorkUnited States
| | | | - Zizhen Yao
- Allen Institute for Brain ScienceSeattleUnited States
| | | | | | - Gregory D Horwitz
- Washington National Primate Research Center and Department of Physiology and Biophysics, University of WashingtonSeattleUnited States
| | | | - Jeff Goldy
- Allen Institute for Brain ScienceSeattleUnited States
| | | | - Emma Garren
- Allen Institute for Brain ScienceSeattleUnited States
| | - Sheana Parry
- Allen Institute for Brain ScienceSeattleUnited States
| | - Tamara Casper
- Allen Institute for Brain ScienceSeattleUnited States
| | | | | | - Aaron Szafer
- Allen Institute for Brain ScienceSeattleUnited States
| | - Boaz P Levi
- Allen Institute for Brain ScienceSeattleUnited States
| | - Nick Dee
- Allen Institute for Brain ScienceSeattleUnited States
| | | | | | - Amy Bernard
- Allen Institute for Brain ScienceSeattleUnited States
| | - John Phillips
- Allen Institute for Brain ScienceSeattleUnited States
| | | | - Christof Koch
- Allen Institute for Brain ScienceSeattleUnited States
| | - Gabe J Murphy
- Allen Institute for Brain ScienceSeattleUnited States
| | - Ed Lein
- Allen Institute for Brain ScienceSeattleUnited States
| | - Hongkui Zeng
- Allen Institute for Brain ScienceSeattleUnited States
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6
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Dufraing K, Fenizia F, Torlakovic E, Wolstenholme N, Deans ZC, Rouleau E, Vyberg M, Parry S, Schuuring E, Dequeker EMC. Biomarker testing in oncology - Requirements for organizing external quality assessment programs to improve the performance of laboratory testing: revision of an expert opinion paper on behalf of IQNPath ABSL. Virchows Arch 2020; 478:553-565. [PMID: 33047156 PMCID: PMC7550230 DOI: 10.1007/s00428-020-02928-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 07/16/2020] [Accepted: 09/04/2020] [Indexed: 12/15/2022]
Abstract
In personalized medicine, predictive biomarker testing is the basis for an appropriate choice of therapy for patients with cancer. An important tool for laboratories to ensure accurate results is participation in external quality assurance (EQA) programs. Several providers offer predictive EQA programs for different cancer types, test methods, and sample types. In 2013, a guideline was published on the requirements for organizing high-quality EQA programs in molecular pathology. Now, after six years, steps were taken to further harmonize these EQA programs as an initiative by IQNPath ABSL, an umbrella organization founded by various EQA providers. This revision is based on current knowledge, adds recommendations for programs developed for predictive biomarkers by in situ methodologies (immunohistochemistry and in situ hybridization), and emphasized transparency and an evidence-based approach. In addition, this updated version also has the aim to give an overview of current practices from various EQA providers.
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Affiliation(s)
- K Dufraing
- Biomedical Quality Assurance Research Unit, Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35 blok d, 3000, Leuven, Belgium
| | - F Fenizia
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy
| | - E Torlakovic
- Department of Pathology and Laboratory Medicine, Royal University Hospital, College of Medicine, University of Saskatchewan and Saskatchewan Health Authority, Saskatoon, Saskatchewan, Canada
| | - N Wolstenholme
- European Molecular Quality Network (EMQN), Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester, M13 9WL, UK
| | - Z C Deans
- UK NEQAS for Molecular Genetics, Department of Laboratory Medicine, Royal Infirmary of Edinburgh, Little France Crescent, Edinburgh, EH16 4SA, UK
| | - E Rouleau
- Department of Medical Biology and Pathology, Gustave Roussy, Cancer Genetics Laboratory, Gustave Roussy, Villejuif, France
| | - M Vyberg
- NordiQC, Institute of Pathology, Aalborg University Hospital, Aalborg, Denmark
| | - S Parry
- UK NEQAS ICC & ISH, University College London Cancer Institute, London, UK
| | - E Schuuring
- Department of Pathology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30001, 9700, RB, Groningen, The Netherlands
| | - Elisabeth M C Dequeker
- Biomedical Quality Assurance Research Unit, Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35 blok d, 3000, Leuven, Belgium.
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7
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Inchauspé H, Olatunde T, Apple S, Parry S, Letson B, Turetta N, Mueller G, Wass P, Conklin J. Numerical modeling and experimental demonstration of pulsed charge control for the space inertial sensor used in LISA. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.102.042002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Grobman WA, Sandoval G, Reddy UM, Tita AT, Silver RM, Mallett G, Hill K, Rice MM, El-Sayed YY, Wapner RJ, Rouse DJ, Saade GR, Thorp JM, Chauhan SP, Iams JD, Chien EK, Casey BM, Gibbs RS, Srinivas SK, Swamy GK, Simhan HN, Macones GA, Peaceman A, Plunkett B, Paycheck K, Dinsmoor M, Harris S, Sheppard J, Biggio J, Harper L, Longo S, Servay C, Varner M, Sowles A, Coleman K, Atkinson D, Stratford J, Dellermann S, Meadows C, Esplin S, Martin C, Peterson K, Stradling S, Willson C, Lyell D, Girsen A, Knapp R, Gyamfi C, Bousleiman S, Perez-Delboy A, Talucci M, Carmona V, Plante L, Tocci C, Leopanto B, Hoffman M, Dill-Grant L, Palomares K, Otarola S, Skupski D, Chan R, Allard D, Gelsomino T, Rousseau J, Beati L, Milano J, Werner E, Salazar A, Costantine M, Chiossi G, Pacheco L, Saad A, Munn M, Jain S, Clark S, Clark K, Boggess K, Timlin S, Eichelberger K, Moore A, Beamon C, Byers H, Ortiz F, Garcia L, Sibai B, Bartholomew A, Buhimschi C, Landon M, Johnson F, Webb L, McKenna D, Fennig K, Snow K, Habli M, McClellan M, Lindeman C, Dalton W, Hackney D, Cozart H, Mayle A, Mercer B, Moseley L, Gerald J, Fay-Randall L, Garcia M, Sias A, Price J, Hale K, Phipers J, Heyborne K, Craig J, Parry S, Sehdev H, Bishop T, Ferrara J, Bickus M, Caritis S, Thom E, Doherty L, de Voest J. Health resource utilization of labor induction versus expectant management. Am J Obstet Gynecol 2020; 222:369.e1-369.e11. [PMID: 31930993 DOI: 10.1016/j.ajog.2020.01.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 11/26/2019] [Accepted: 01/06/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND Although induction of labor of low-risk nulliparous women at 39 weeks reduces the risk of cesarean delivery compared with expectant management, concern regarding more frequent use of labor induction remains, given that this intervention historically has been thought to incur greater resource utilization. OBJECTIVE The objective of the study was to determine whether planned elective labor induction at 39 weeks among low-risk nulliparous women, compared with expectant management, was associated with differences in health care resource utilization from the time of randomization through 8 weeks postpartum. STUDY DESIGN This is a planned secondary analysis of a multicenter randomized trial in which low-risk nulliparous women were assigned to induction of labor at 39 weeks or expectant management. We assessed resource utilization after randomization in 3 time periods: antepartum, delivery admission, and discharge through 8 weeks postpartum. RESULTS Of 6096 women with data available, those in the induction of labor group (n = 3059) were significantly less likely in the antepartum period after randomization to have at least 1 ambulatory visit for routine prenatal care (32.4% vs 68.4%), unanticipated care (0.5% vs 2.6%), or urgent care (16.2% vs 44.3%), or at least 1 antepartum hospitalization (0.8% vs 2.2%, P < .001 for all). They also had fewer tests (eg, sonograms, blood tests) and treatments (eg, antibiotics, intravenous hydration) prior to delivery. During the delivery admission, women in the induction of labor group spent a longer time in labor and delivery (median, 0.83 vs 0.57 days), but both women (P = .002) and their neonates (P < .001) had shorter postpartum stays. Women and neonates in both groups had similar frequencies of postpartum urgent care and hospital readmissions (P > .05 for all). CONCLUSION Women randomized to induction of labor had longer durations in labor and delivery but significantly fewer antepartum visits, tests, and treatments and shorter maternal and neonatal hospital durations after delivery. These results demonstrate that the health outcome advantages associated with induction of labor are gained without incurring uniformly greater health care resource use.
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Hodge RD, Bakken TE, Miller JA, Smith KA, Barkan ER, Graybuck LT, Close JL, Long B, Johansen N, Penn O, Yao Z, Eggermont J, Höllt T, Levi BP, Shehata SI, Aevermann B, Beller A, Bertagnolli D, Brouner K, Casper T, Cobbs C, Dalley R, Dee N, Ding SL, Ellenbogen RG, Fong O, Garren E, Goldy J, Gwinn RP, Hirschstein D, Keene CD, Keshk M, Ko AL, Lathia K, Mahfouz A, Maltzer Z, McGraw M, Nguyen TN, Nyhus J, Ojemann JG, Oldre A, Parry S, Reynolds S, Rimorin C, Shapovalova NV, Somasundaram S, Szafer A, Thomsen ER, Tieu M, Quon G, Scheuermann RH, Yuste R, Sunkin SM, Lelieveldt B, Feng D, Ng L, Bernard A, Hawrylycz M, Phillips JW, Tasic B, Zeng H, Jones AR, Koch C, Lein ES. Conserved cell types with divergent features in human versus mouse cortex. Nature 2019; 573:61-68. [PMID: 31435019 PMCID: PMC6919571 DOI: 10.1038/s41586-019-1506-7] [Citation(s) in RCA: 854] [Impact Index Per Article: 170.8] [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: 08/04/2018] [Accepted: 07/17/2019] [Indexed: 12/11/2022]
Abstract
Elucidating the cellular architecture of the human cerebral cortex is central to understanding our cognitive abilities and susceptibility to disease. Here we used single-nucleus RNA-sequencing analysis to perform a comprehensive study of cell types in the middle temporal gyrus of human cortex. We identified a highly diverse set of excitatory and inhibitory neuron types that are mostly sparse, with excitatory types being less layer-restricted than expected. Comparison to similar mouse cortex single-cell RNA-sequencing datasets revealed a surprisingly well-conserved cellular architecture that enables matching of homologous types and predictions of properties of human cell types. Despite this general conservation, we also found extensive differences between homologous human and mouse cell types, including marked alterations in proportions, laminar distributions, gene expression and morphology. These species-specific features emphasize the importance of directly studying human brain.
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Affiliation(s)
| | | | | | | | | | | | | | - Brian Long
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Nelson Johansen
- Department of Molecular and Cellular Biology, University of California, Davis, Davis, CA, USA
| | - Osnat Penn
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Jeroen Eggermont
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Thomas Höllt
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Intelligent Systems, Delft University of Technology, Delft, The Netherlands
| | - Boaz P Levi
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Allison Beller
- Department of Pathology, University of Washington, Seattle, WA, USA
| | | | | | | | - Charles Cobbs
- The Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Swedish Neuroscience Institute, Seattle, WA, USA
| | | | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Richard G Ellenbogen
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA, USA
| | - Olivia Fong
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Emma Garren
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Ryder P Gwinn
- Epilepsy Surgery and Functional Neurosurgery, Swedish Neuroscience Institute, Seattle, WA, USA
| | | | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | | | - Andrew L Ko
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA, USA
- Regional Epilepsy Center at Harborview Medical Center, Seattle, WA, USA
| | - Kanan Lathia
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Ahmed Mahfouz
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Intelligent Systems, Delft University of Technology, Delft, The Netherlands
| | - Zoe Maltzer
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Medea McGraw
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Julie Nyhus
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Jeffrey G Ojemann
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA, USA
- Regional Epilepsy Center at Harborview Medical Center, Seattle, WA, USA
| | - Aaron Oldre
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Sheana Parry
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | - Aaron Szafer
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Gerald Quon
- Department of Molecular and Cellular Biology, University of California, Davis, Davis, CA, USA
| | - Richard H Scheuermann
- J. Craig Venter Institute, La Jolla, CA, USA
- Department of Pathology, University of California, San Diego, San Diego, CA, USA
| | - Rafael Yuste
- Neurotechnology Center, Department of Biological Sciences, Columbia University, New York, NY, USA
| | | | - Boudewijn Lelieveldt
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Intelligent Systems, Delft University of Technology, Delft, The Netherlands
| | - David Feng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA.
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10
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Gouwens NW, Sorensen SA, Berg J, Lee C, Jarsky T, Ting J, Sunkin SM, Feng D, Anastassiou CA, Barkan E, Bickley K, Blesie N, Braun T, Brouner K, Budzillo A, Caldejon S, Casper T, Castelli D, Chong P, Crichton K, Cuhaciyan C, Daigle TL, Dalley R, Dee N, Desta T, Ding SL, Dingman S, Doperalski A, Dotson N, Egdorf T, Fisher M, de Frates RA, Garren E, Garwood M, Gary A, Gaudreault N, Godfrey K, Gorham M, Gu H, Habel C, Hadley K, Harrington J, Harris JA, Henry A, Hill D, Josephsen S, Kebede S, Kim L, Kroll M, Lee B, Lemon T, Link KE, Liu X, Long B, Mann R, McGraw M, Mihalas S, Mukora A, Murphy GJ, Ng L, Ngo K, Nguyen TN, Nicovich PR, Oldre A, Park D, Parry S, Perkins J, Potekhina L, Reid D, Robertson M, Sandman D, Schroedter M, Slaughterbeck C, Soler-Llavina G, Sulc J, Szafer A, Tasic B, Taskin N, Teeter C, Thatra N, Tung H, Wakeman W, Williams G, Young R, Zhou Z, Farrell C, Peng H, Hawrylycz MJ, Lein E, Ng L, Arkhipov A, Bernard A, Phillips JW, Zeng H, Koch C. Classification of electrophysiological and morphological neuron types in the mouse visual cortex. Nat Neurosci 2019; 22:1182-1195. [PMID: 31209381 PMCID: PMC8078853 DOI: 10.1038/s41593-019-0417-0] [Citation(s) in RCA: 219] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 04/25/2019] [Indexed: 12/21/2022]
Abstract
Understanding the diversity of cell types in the brain has been an enduring challenge and requires detailed characterization of individual neurons in multiple dimensions. To systematically profile morpho-electric properties of mammalian neurons, we established a single-cell characterization pipeline using standardized patch-clamp recordings in brain slices and biocytin-based neuronal reconstructions. We built a publicly accessible online database, the Allen Cell Types Database, to display these datasets. Intrinsic physiological properties were measured from 1,938 neurons from the adult laboratory mouse visual cortex, morphological properties were measured from 461 reconstructed neurons, and 452 neurons had both measurements available. Quantitative features were used to classify neurons into distinct types using unsupervised methods. We established a taxonomy of morphologically and electrophysiologically defined cell types for this region of the cortex, with 17 electrophysiological types, 38 morphological types and 46 morpho-electric types. There was good correspondence with previously defined transcriptomic cell types and subclasses using the same transgenic mouse lines.
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Affiliation(s)
| | | | - Jim Berg
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Changkyu Lee
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Tim Jarsky
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Jonathan Ting
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Susan M Sunkin
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - David Feng
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Eliza Barkan
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Kris Bickley
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Nicole Blesie
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Thomas Braun
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Krissy Brouner
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Agata Budzillo
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Tamara Casper
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Dan Castelli
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Peter Chong
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | | | - Tanya L Daigle
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Rachel Dalley
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Tsega Desta
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Song-Lin Ding
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Samuel Dingman
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | | | - Tom Egdorf
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Michael Fisher
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Emma Garren
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Amanda Gary
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Keith Godfrey
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Melissa Gorham
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Hong Gu
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Caroline Habel
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Kristen Hadley
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Julie A Harris
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Alex Henry
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - DiJon Hill
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Sam Josephsen
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Sara Kebede
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Lisa Kim
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Matthew Kroll
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Brian Lee
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Tracy Lemon
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Xiaoxiao Liu
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Brian Long
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Rusty Mann
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Medea McGraw
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Stefan Mihalas
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Alice Mukora
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Gabe J Murphy
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Lindsay Ng
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Kiet Ngo
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | | | - Aaron Oldre
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Daniel Park
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Sheana Parry
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Jed Perkins
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - David Reid
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - David Sandman
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | | | | | - Josef Sulc
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Aaron Szafer
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Bosiljka Tasic
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Naz Taskin
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Corinne Teeter
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Herman Tung
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Wayne Wakeman
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Grace Williams
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Rob Young
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Zhi Zhou
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Colin Farrell
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Hanchuan Peng
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Ed Lein
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Anton Arkhipov
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, Washington, USA.
| | - Christof Koch
- Allen Institute for Brain Science, Seattle, Washington, USA
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11
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Parry S, Curtis H, Chadwick D. Psychological wellbeing and use of alcohol and recreational drugs: results of the British HIV Association (BHIVA) national audit 2017. HIV Med 2019; 20:424-427. [PMID: 31006960 DOI: 10.1111/hiv.12744] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/01/2019] [Indexed: 11/29/2022]
Abstract
OBJECTIVES The aim of this national audit was to assess adherence of services providing HIV care in the UK to national standards and guidelines regarding psychological support and the assessment of alcohol and recreational drug use (including chemsex drugs) in people living with HIV (PLWH). METHODS Participating sites completed a survey of their services' care pathways relating to psychological support and substance use. They performed a case-note review of up to 40 adult PLWH per service, reviewing sociodemographic and clinical information and assessment of psychological wellbeing, drug use and alcohol use. The surveys and case notes were assessed against relevant British HIV Association (BHIVA) guidelines and standards. RESULTS The survey was completed by 112 services. Of these, 73%, 82% and 73% had formal annual processes for assessing the psychological wellbeing, alcohol use and drug use, respectively, of PLWH. Case-note data were provided for 4486 PLWH from 119 sites. Audited rates of assessment of PLWH were 66.0% for psychological wellbeing, 68.0% for alcohol use, 58.4% for recreational drug use and 16.8% for chemsex drug use. Variation between clinical services was wide, with ranges from < 10% to 100% routinely assessing PLWH for each of these domains. Services using assessment tools performed better. CONCLUSIONS Assessment of PLWH for psychological wellbeing and alcohol and recreational drug use is variable in UK clinics, with a significant minority of services not documenting that they assessed these factors routinely. Wider adoption of assessment tools or proformas to assess PLWH in these areas is likely to improve surveillance for psychological morbidity and problematic alcohol or drug use.
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Affiliation(s)
- S Parry
- Barts Health NHS Trust, Royal London Hospital, London, UK
| | - H Curtis
- British HIV Association, London, UK
| | - D Chadwick
- The James Cook University Hospital, Middlesbrough, UK
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12
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Pagliuso J, Parry S, Haffajee Z, Miller K. 44. The challenges of implementing a PD-L1 proficiency testing program. Pathology 2019. [DOI: 10.1016/j.pathol.2018.09.043] [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] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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13
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Bakken TE, Hodge RD, Miller JA, Yao Z, Nguyen TN, Aevermann B, Barkan E, Bertagnolli D, Casper T, Dee N, Garren E, Goldy J, Graybuck LT, Kroll M, Lasken RS, Lathia K, Parry S, Rimorin C, Scheuermann RH, Schork NJ, Shehata SI, Tieu M, Phillips JW, Bernard A, Smith KA, Zeng H, Lein ES, Tasic B. Single-nucleus and single-cell transcriptomes compared in matched cortical cell types. PLoS One 2018; 13:e0209648. [PMID: 30586455 PMCID: PMC6306246 DOI: 10.1371/journal.pone.0209648] [Citation(s) in RCA: 291] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 12/10/2018] [Indexed: 12/21/2022] Open
Abstract
Transcriptomic profiling of complex tissues by single-nucleus RNA-sequencing (snRNA-seq) affords some advantages over single-cell RNA-sequencing (scRNA-seq). snRNA-seq provides less biased cellular coverage, does not appear to suffer cell isolation-based transcriptional artifacts, and can be applied to archived frozen specimens. We used well-matched snRNA-seq and scRNA-seq datasets from mouse visual cortex to compare cell type detection. Although more transcripts are detected in individual whole cells (~11,000 genes) than nuclei (~7,000 genes), we demonstrate that closely related neuronal cell types can be similarly discriminated with both methods if intronic sequences are included in snRNA-seq analysis. We estimate that the nuclear proportion of total cellular mRNA varies from 20% to over 50% for large and small pyramidal neurons, respectively. Together, these results illustrate the high information content of nuclear RNA for characterization of cellular diversity in brain tissues.
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Affiliation(s)
- Trygve E. Bakken
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Rebecca D. Hodge
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Jeremy A. Miller
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Thuc Nghi Nguyen
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Brian Aevermann
- J. Craig Venter Institute, La Jolla, CA, United States of America
| | - Eliza Barkan
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Darren Bertagnolli
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Tamara Casper
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Emma Garren
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Lucas T. Graybuck
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Matthew Kroll
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Roger S. Lasken
- J. Craig Venter Institute, La Jolla, CA, United States of America
| | - Kanan Lathia
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Sheana Parry
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Christine Rimorin
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | | | | | - Soraya I. Shehata
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - John W. Phillips
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Kimberly A. Smith
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Ed S. Lein
- Allen Institute for Brain Science, Seattle, WA, United States of America
| | - Bosiljka Tasic
- Allen Institute for Brain Science, Seattle, WA, United States of America
- * E-mail:
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14
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Tasic B, Yao Z, Graybuck LT, Smith KA, Nguyen TN, Bertagnolli D, Goldy J, Garren E, Economo MN, Viswanathan S, Penn O, Bakken T, Menon V, Miller J, Fong O, Hirokawa KE, Lathia K, Rimorin C, Tieu M, Larsen R, Casper T, Barkan E, Kroll M, Parry S, Shapovalova NV, Hirschstein D, Pendergraft J, Sullivan HA, Kim TK, Szafer A, Dee N, Groblewski P, Wickersham I, Cetin A, Harris JA, Levi BP, Sunkin SM, Madisen L, Daigle TL, Looger L, Bernard A, Phillips J, Lein E, Hawrylycz M, Svoboda K, Jones AR, Koch C, Zeng H. Shared and distinct transcriptomic cell types across neocortical areas. Nature 2018; 563:72-78. [PMID: 30382198 DOI: 10.1038/s41586-018-0654-5] [Citation(s) in RCA: 917] [Impact Index Per Article: 152.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 09/24/2018] [Indexed: 12/11/2022]
Abstract
The neocortex contains a multitude of cell types that are segregated into layers and functionally distinct areas. To investigate the diversity of cell types across the mouse neocortex, here we analysed 23,822 cells from two areas at distant poles of the mouse neocortex: the primary visual cortex and the anterior lateral motor cortex. We define 133 transcriptomic cell types by deep, single-cell RNA sequencing. Nearly all types of GABA (γ-aminobutyric acid)-containing neurons are shared across both areas, whereas most types of glutamatergic neurons were found in one of the two areas. By combining single-cell RNA sequencing and retrograde labelling, we match transcriptomic types of glutamatergic neurons to their long-range projection specificity. Our study establishes a combined transcriptomic and projectional taxonomy of cortical cell types from functionally distinct areas of the adult mouse cortex.
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Affiliation(s)
| | - Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Emma Garren
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Michael N Economo
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Sarada Viswanathan
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Osnat Penn
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Vilas Menon
- Allen Institute for Brain Science, Seattle, WA, USA.,Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | | | - Olivia Fong
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Kanan Lathia
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Eliza Barkan
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Sheana Parry
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | | | - Aaron Szafer
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Ian Wickersham
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ali Cetin
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Boaz P Levi
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Loren Looger
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Ed Lein
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Karel Svoboda
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | | | | | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
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15
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Dodson A, Parry S, Ibrahim M, Bartlett J, Dowsett M, Miller K. Abstract P3-08-16: ER, PR and HER2 biomarkers in UK and Irish clinical breast cancer testing: analysis of results from >168,000 patients. Cancer Res 2018. [DOI: 10.1158/1538-7445.sabcs17-p3-08-16] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
AIMS
To describe and analyse >168,000 sets of results from clinical breast biomarker testing carried-out between 2009 and 2016 in the UK and Republic of Ireland, focussing on biological relationships. To present robust confirmatory evidence on known associations and provide new data on previously undescribed or unconfirmed ones.
BACKGROUND
Between Jan-2009 and Jan-2016 the UK National External Quality Assessment Scheme for Immunocytochemistry and In-situ Hybridisation (UK NEQAS ICC&ISH) collected results on clinical breast cancer testing, comprehensively for human epidermal growth factor receptor-2 (HER2) and optionally for estrogen receptor (ER) and progesterone receptor (PR), from most UK and Irish testing centres. Primary objectives were to assess and, where indicated achieve improvements in testing quality. The size and scope of the data-set is unparalleled in the literature and represent a significant reference resource for the breast cancer community.
METHODS
UK NEQAS ICC&ISH created and curated an on-line data-entry system allowing centres to systematically collect their own HER2, ER and PR results from clinical testing; for HER2, immunohistochemical (IHC) and in-situ hybridisation (ISH) data were collected; for ER and PR, IHC results could be entered according to local practise format. Tools and guidance were provided enabling centres to analyse their data for local audit and quality assurance. Clinicopathologic data was also collected, including: patient age at diagnosis, histological tumor type, tumor grade, site/stage (primary, recurrence, metastasis) and sample type (core, excision).
RESULTS
Data are present on 168,793 patients. 173 centres contributed ≥100 entries (96% of total). Median age was 62 years (IQR: 51-72). Tumor type was stated in 42%: 76% were invasive ductal, and 13% invasive lobular carcinoma. Grade was stated in 56%: 15% were Grade 1, 55% Grade 2 and 30% Grade 3. Site/stage was stated in 56%: 92% were primary, 2% recurrent and 6% metastatic. Sample type was stated in 70%: 75% were cores and 25%, excision.
Receptor statuses were available as follows; HER2 (100%): 87% negative, 13% positive; ER (45%): 15% negative, 85% positive; PR (31%): 29% negative, 71% positive.
HER2 data were available as follows; category by IHC: 91%; amplification status by ISH: 15%; HER2 gene/chromosome 17 (CEP17) ratio: 15% (86% of which were IHC 2+); HER2 gene copy number: 7%; CEP17 copy number: 7%.
HER2-positive rate was 24% in ER-negative and 11% in ER-positive cases. HER2-positive status was negatively associated with increasing ER positivity (rho -0.22, P<0.001). 71% of HER2-positive cases were ER-positive and 29% were ER-negative. The HER2 2+ rate was 14% in ER-negative and 21% in ER-positive cases. Considering only IHC 2+ cases, median HER2 copy number was 5.4 in ER-negative and 4.4 in ER-positive disease.
Comprehensive description of significant associations for all parameters will be presented.
CONCLUSION
The unique size and scope of this data-set has allowed confirmation of known associations for HER2, ER and PR with clinicopathologic and biological characteristics in breast cancer to very high confidence levels, and has uncovered previously undescribed relationships in both ER-positive and ER-negative disease.
Citation Format: Dodson A, Parry S, Ibrahim M, Bartlett J, Dowsett M, Miller K. ER, PR and HER2 biomarkers in UK and Irish clinical breast cancer testing: analysis of results from >168,000 patients [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P3-08-16.
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Affiliation(s)
- A Dodson
- Institute for Cancer Research, London, United Kingdom; UK NEQAS ICC & ISH, London, United Kingdom; ntario Centre for Cancer Research, Toronto, ON, Canada
| | - S Parry
- Institute for Cancer Research, London, United Kingdom; UK NEQAS ICC & ISH, London, United Kingdom; ntario Centre for Cancer Research, Toronto, ON, Canada
| | - M Ibrahim
- Institute for Cancer Research, London, United Kingdom; UK NEQAS ICC & ISH, London, United Kingdom; ntario Centre for Cancer Research, Toronto, ON, Canada
| | - J Bartlett
- Institute for Cancer Research, London, United Kingdom; UK NEQAS ICC & ISH, London, United Kingdom; ntario Centre for Cancer Research, Toronto, ON, Canada
| | - M Dowsett
- Institute for Cancer Research, London, United Kingdom; UK NEQAS ICC & ISH, London, United Kingdom; ntario Centre for Cancer Research, Toronto, ON, Canada
| | - K Miller
- Institute for Cancer Research, London, United Kingdom; UK NEQAS ICC & ISH, London, United Kingdom; ntario Centre for Cancer Research, Toronto, ON, Canada
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16
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Bourne NK, Garcea SC, Eastwood DS, Parry S, Rau C, Withers PJ, McDonald SA, Brown EN. On compression and damage evolution in two thermoplastics. Proc Math Phys Eng Sci 2017; 473:20160495. [PMID: 28265185 PMCID: PMC5312121 DOI: 10.1098/rspa.2016.0495] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [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] [Indexed: 11/23/2022] Open
Abstract
The well-known Taylor cylinder impact test, which follows the impact of a flat-ended cylindrical rod onto a rigid stationary anvil, is conducted over a range of impact speeds for two polymers, polytetrafluoroethylene (PTFE) and polyetheretherketone (PEEK). In previous work, experiments and a model were developed to capture the deformation behaviour of the cylinder after impact. These works showed a region in which spatial and temporal variation of both longitudinal and radial deformation provided evidence of changes in phase within the material. In this further series of experiments, this region is imaged in a range of impacted targets at the Diamond synchrotron. Further techniques were fielded to resolve compressed regions within the recovered polymer cylinders that showed a fracture zone in the impact region. The combination of macroscopic high-speed photography and three-dimensional X-ray imaging has identified the development of failure with these polymers and shown that there is no abrupt transition in behaviours but rather a continuous range of responses to competing operating mechanisms. The behaviours noted in PEEK in these polymers show critical gaps in understanding of polymer high strain-rate response.
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Affiliation(s)
- N K Bourne
- School of Materials , University of Manchester , Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11 0FA , UK
| | - S C Garcea
- School of Materials , University of Manchester , Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11 0FA , UK
| | - D S Eastwood
- School of Materials , University of Manchester , Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11 0FA , UK
| | - S Parry
- School of Materials, University of Manchester, Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11 0FA, UK; Defence Science and Technology Organisation, Adelaide, Australia
| | - C Rau
- Diamond Light Source Ltd , Harwell Science and Innovation Campus , Didcot, Oxfordshire OX11 0DE , UK
| | - P J Withers
- School of Materials , University of Manchester , Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11 0FA , UK
| | - S A McDonald
- School of Materials , University of Manchester , Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11 0FA , UK
| | - E N Brown
- Explosive Science and Shock Physics Division , Los Alamos National Laboratory , Los Alamos, NM , USA
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17
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Manuck TA, Watkins WS, Esplin MS, Biggio J, Bukowski R, Parry S, Zhan H, Huang H, Andrews W, Saade G, Sadovsky Y, Reddy UM, Ilekis J, Yandell M, Varner MW, Jorde LB. Pharmacogenomics of 17-alpha hydroxyprogesterone caproate for recurrent preterm birth: a case-control study. BJOG 2017; 125:343-350. [DOI: 10.1111/1471-0528.14485] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2016] [Indexed: 11/26/2022]
Affiliation(s)
- TA Manuck
- Department of Obstetrics and Gynecology; Division of Maternal Fetal Medicine; University of Utah School of Medicine; Salt Lake City UT USA
- Intermountain Healthcare Department of Maternal Fetal Medicine; Salt Lake City UT USA
- Department of Obstetrics and Gynecology; Division of Maternal Fetal Medicine; University of North Carolina-Chapel Hill; Chapel Hill NC USA
| | - WS Watkins
- Department of Human Genetics; University of Utah; Salt Lake City UT USA
| | - MS Esplin
- Department of Obstetrics and Gynecology; Division of Maternal Fetal Medicine; University of Utah School of Medicine; Salt Lake City UT USA
- Intermountain Healthcare Department of Maternal Fetal Medicine; Salt Lake City UT USA
| | - J Biggio
- Department of Obstetrics and Gynecology; Division of Maternal Fetal Medicine and Center for Women's Reproductive Health; University of Alabama at Birmingham; Birmingham AL USA
| | - R Bukowski
- Department of Obstetrics and Gynecology; Division of Maternal-Fetal Medicine; University of Texas Medical Branch; Galveston TX USA
| | - S Parry
- Department of Obstetrics and Gynecology; University of Pennsylvania School of Medicine; Philadelphia PA USA
| | - H Zhan
- Collaborative Center for Statistics in Science; Yale University School of Public Health; New Haven CT USA
| | - H Huang
- Collaborative Center for Statistics in Science; Yale University School of Public Health; New Haven CT USA
| | - W Andrews
- Department of Obstetrics and Gynecology; Division of Maternal Fetal Medicine and Center for Women's Reproductive Health; University of Alabama at Birmingham; Birmingham AL USA
| | - G Saade
- Department of Obstetrics and Gynecology; Division of Maternal-Fetal Medicine; University of Texas Medical Branch; Galveston TX USA
| | - Y Sadovsky
- Magee-Womens Research Institute; University of Pittsburgh School of Medicine; Pittsburgh PA USA
| | - UM Reddy
- Pregnancy and Perinatology Branch; Center for Developmental Biology and Perinatal Medicine; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Bethesda MD USA
| | - J Ilekis
- Pregnancy and Perinatology Branch; Center for Developmental Biology and Perinatal Medicine; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Bethesda MD USA
| | - M Yandell
- Department of Human Genetics; University of Utah; Salt Lake City UT USA
| | - MW Varner
- Department of Obstetrics and Gynecology; Division of Maternal Fetal Medicine; University of Utah School of Medicine; Salt Lake City UT USA
- Intermountain Healthcare Department of Maternal Fetal Medicine; Salt Lake City UT USA
| | - LB Jorde
- Department of Human Genetics; University of Utah; Salt Lake City UT USA
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18
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Morris C, Parry S, Holmes P, Gupta V. P61 Community oxygen prescriptions and DNACPR discussions in stockport; an opportunity to improve end of life care planning? Thorax 2016. [DOI: 10.1136/thoraxjnl-2016-209333.204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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19
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Bourne NK, Parry S, Townsend D, Withers PJ, Soutis C, Frias C. Dynamic damage in carbon-fibre composites. Philos Trans A Math Phys Eng Sci 2016; 374:20160018. [PMID: 27242311 DOI: 10.1098/rsta.2016.0018] [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] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/22/2016] [Indexed: 06/05/2023]
Abstract
The Taylor test is used to determine damage evolution in carbon-fibre composites across a range of strain rates. The hierarchy of damage across the scales is key in determining the suite of operating mechanisms and high-speed diagnostics are used to determine states during dynamic loading. Experiments record the test response as a function of the orientation of the cylinder cut from the engineered multi-ply composite with high-speed photography and post-mortem target examination. The ensuing damage occurs during the shock compression phase but three other tensile loading modes operate during the test and these are explored. Experiment has shown that ply orientations respond to two components of release; longitudinal and radial as well as the hoop stresses generated in inelastic flow at the impact surface. The test is a discriminant not only of damage thresholds but of local failure modes and their kinetics. This article is part of the themed issue 'Multiscale modelling of the structural integrity of composite materials'.
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Affiliation(s)
- N K Bourne
- School of Materials, University of Manchester, Manchester M13 9PL, UK Centre for Matter under Extreme Conditions, School of Materials, Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11 0FA, UK
| | - S Parry
- Centre for Matter under Extreme Conditions, School of Materials, Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11 0FA, UK Defence Science and Technology Organisation, PO Box 1500, Edinburgh, South Australia 5111, Australia
| | - D Townsend
- Centre for Matter under Extreme Conditions, School of Materials, Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11 0FA, UK
| | - P J Withers
- School of Materials, University of Manchester, Manchester M13 9PL, UK
| | - C Soutis
- School of Materials, University of Manchester, Manchester M13 9PL, UK
| | - C Frias
- School of Materials, University of Manchester, Manchester M13 9PL, UK
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20
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Bakken TE, Miller JA, Ding SL, Sunkin SM, Smith KA, Ng L, Szafer A, Dalley RA, Royall JJ, Lemon T, Shapouri S, Aiona K, Arnold J, Bennett JL, Bertagnolli D, Bickley K, Boe A, Brouner K, Butler S, Byrnes E, Caldejon S, Carey A, Cate S, Chapin M, Chen J, Dee N, Desta T, Dolbeare TA, Dotson N, Ebbert A, Fulfs E, Gee G, Gilbert TL, Goldy J, Gourley L, Gregor B, Gu G, Hall J, Haradon Z, Haynor DR, Hejazinia N, Hoerder-Suabedissen A, Howard R, Jochim J, Kinnunen M, Kriedberg A, Kuan CL, Lau C, Lee CK, Lee F, Luong L, Mastan N, May R, Melchor J, Mosqueda N, Mott E, Ngo K, Nyhus J, Oldre A, Olson E, Parente J, Parker PD, Parry S, Pendergraft J, Potekhina L, Reding M, Riley ZL, Roberts T, Rogers B, Roll K, Rosen D, Sandman D, Sarreal M, Shapovalova N, Shi S, Sjoquist N, Sodt AJ, Townsend R, Velasquez L, Wagley U, Wakeman WB, White C, Bennett C, Wu J, Young R, Youngstrom BL, Wohnoutka P, Gibbs RA, Rogers J, Hohmann JG, Hawrylycz MJ, Hevner RF, Molnár Z, Phillips JW, Dang C, Jones AR, Amaral DG, Bernard A, Lein ES. A comprehensive transcriptional map of primate brain development. Nature 2016; 535:367-75. [PMID: 27409810 PMCID: PMC5325728 DOI: 10.1038/nature18637] [Citation(s) in RCA: 239] [Impact Index Per Article: 29.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Accepted: 06/10/2016] [Indexed: 12/20/2022]
Abstract
The transcriptional underpinnings of brain development remain poorly understood, particularly in humans and closely related non-human primates. We describe a high-resolution transcriptional atlas of rhesus monkey (Macaca mulatta) brain development that combines dense temporal sampling of prenatal and postnatal periods with fine anatomical division of cortical and subcortical regions associated with human neuropsychiatric disease. Gene expression changes more rapidly before birth, both in progenitor cells and maturing neurons. Cortical layers and areas acquire adult-like molecular profiles surprisingly late in postnatal development. Disparate cell populations exhibit distinct developmental timing of gene expression, but also unexpected synchrony of processes underlying neural circuit construction including cell projection and adhesion. Candidate risk genes for neurodevelopmental disorders including primary microcephaly, autism spectrum disorder, intellectual disability, and schizophrenia show disease-specific spatiotemporal enrichment within developing neocortex. Human developmental expression trajectories are more similar to monkey than rodent, although approximately 9% of genes show human-specific regulation with evidence for prolonged maturation or neoteny compared to monkey.
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Affiliation(s)
- Trygve E Bakken
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jeremy A Miller
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Song-Lin Ding
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Susan M Sunkin
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Kimberly A Smith
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Aaron Szafer
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Rachel A Dalley
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Joshua J Royall
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Tracy Lemon
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Sheila Shapouri
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Kaylynn Aiona
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - James Arnold
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jeffrey L Bennett
- Department of Psychiatry and Behavioral Science, California National Primate Research Center, The M.I.N.D. Institute, University of California, Davis, Sacramento, California 95817, USA
| | | | | | - Andrew Boe
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Krissy Brouner
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Stephanie Butler
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Emi Byrnes
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Shiella Caldejon
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Anita Carey
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Shelby Cate
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Mike Chapin
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jefferey Chen
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Tsega Desta
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Tim A Dolbeare
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Nadia Dotson
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Amanda Ebbert
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Erich Fulfs
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Garrett Gee
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Terri L Gilbert
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Lindsey Gourley
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Ben Gregor
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Guangyu Gu
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jon Hall
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Zeb Haradon
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - David R Haynor
- Department of Radiology, University of Washington, Seattle, Washington 98195, USA
| | - Nika Hejazinia
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Anna Hoerder-Suabedissen
- Department of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road, Oxford OX1 3QX, UK
| | - Robert Howard
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jay Jochim
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Marty Kinnunen
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Ali Kriedberg
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Chihchau L Kuan
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Christopher Lau
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Chang-Kyu Lee
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Felix Lee
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Lon Luong
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Naveed Mastan
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Ryan May
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jose Melchor
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Nerick Mosqueda
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Erika Mott
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Kiet Ngo
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Julie Nyhus
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Aaron Oldre
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Eric Olson
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jody Parente
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Patrick D Parker
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Sheana Parry
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Lydia Potekhina
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Melissa Reding
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Zackery L Riley
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Tyson Roberts
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Brandon Rogers
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Kate Roll
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - David Rosen
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - David Sandman
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Melaine Sarreal
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Shu Shi
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Nathan Sjoquist
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Andy J Sodt
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Robbie Townsend
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Udi Wagley
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Wayne B Wakeman
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Cassandra White
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Crissa Bennett
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Jennifer Wu
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Rob Young
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Paul Wohnoutka
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - John G Hohmann
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | | | - Robert F Hevner
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington 98101, USA
| | - Zoltán Molnár
- Department of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road, Oxford OX1 3QX, UK
| | - John W Phillips
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Chinh Dang
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Allan R Jones
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - David G Amaral
- Department of Psychiatry and Behavioral Science, California National Primate Research Center, The M.I.N.D. Institute, University of California, Davis, Sacramento, California 95817, USA
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, Washington 98109, USA
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Tasic B, Menon V, Nguyen TN, Kim TK, Jarsky T, Yao Z, Levi B, Gray LT, Sorensen SA, Dolbeare T, Bertagnolli D, Goldy J, Shapovalova N, Parry S, Lee C, Smith K, Bernard A, Madisen L, Sunkin SM, Hawrylycz M, Koch C, Zeng H. Adult mouse cortical cell taxonomy revealed by single cell transcriptomics. Nat Neurosci 2016; 19:335-46. [PMID: 26727548 PMCID: PMC4985242 DOI: 10.1038/nn.4216] [Citation(s) in RCA: 1052] [Impact Index Per Article: 131.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Accepted: 12/03/2015] [Indexed: 12/13/2022]
Abstract
Nervous systems are composed of various cell types, but the extent of cell type diversity is poorly understood. Here, we construct a cellular taxonomy of one cortical region, primary visual cortex, in adult mice based on single cell RNA-sequencing. We identify 49 transcriptomic cell types including 23 GABAergic, 19 glutamatergic and seven non-neuronal types. We also analyze cell-type specific mRNA processing and characterize genetic access to these transcriptomic types by many transgenic Cre lines. Finally, we show that some of our transcriptomic cell types display specific and differential electrophysiological and axon projection properties, thereby confirming that the single cell transcriptomic signatures can be associated with specific cellular properties.
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Affiliation(s)
- Bosiljka Tasic
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Vilas Menon
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Tae Kyung Kim
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Tim Jarsky
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Zizhen Yao
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Boaz Levi
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Lucas T Gray
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Tim Dolbeare
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Sheana Parry
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Changkyu Lee
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Kimberly Smith
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Linda Madisen
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Susan M Sunkin
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Christof Koch
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, Washington, USA
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Dunkel C, Green D, Strassheim V, Whitney S, Parry S. 65COGNITIVE BEHAVIORAL THERAPY AND FEAR OF FALLING. Age Ageing 2015. [DOI: 10.1093/ageing/afv113.06] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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23
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Jayasekara H, Reece J, Dashti S, Buchanan D, Rosty C, Macrae F, Boussioutas A, Giles G, Ahnen D, Lowery J, Casey G, Haile R, Gallinger S, Marchand LL, Newcomb P, Lindor N, Hopper J, Parry S, Jenkins M, Win A. 2079 Risk factors for metachronous colorectal cancer following a primary colorectal cancer: A prospective cohort study. Eur J Cancer 2015. [DOI: 10.1016/s0959-8049(16)31002-4] [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] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Bazan C, Parry S, Riesle H. GESTATIONAL TROPHOBLASTIC DISEASE: INCREASE OF INCIDENCE IN CARLOS VAN BUREN HOSPITAL, VALPARAISO - CHILE: IGCS-0074 Gestational Trophoblastic Neoplasia. Int J Gynecol Cancer 2015. [DOI: 10.1136/00009577-201505001-00032] [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] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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25
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Riesle H, Parry S, Bazan C. CERVICAL CANCER AND PREGNANCY: THREE CASES DURING 2014 IN CARLOS VAN BUREN HOSPITAL, VALPARAISO-CHILE: IGCS-0072 Cervical Cancer. Int J Gynecol Cancer 2015. [DOI: 10.1136/00009577-201505001-00020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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26
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Parry S, Straker L, Gilson N, Smith A. Can participatory workplace interventions that aim to reduce sedentary time modify musculoskeletal symptoms of office workers? Physiotherapy 2015. [DOI: 10.1016/j.physio.2015.03.2100] [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] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Parry S, Riesle H, Bazan C. CLINICAL ADVANTAGES OF NERVE-SPARING RADICAL HYSTERECTOMY OF CERVICAL CANCER: IGCS-0096 Cervical Cancer. Int J Gynecol Cancer 2015. [DOI: 10.1136/00009577-201505001-00029] [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] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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29
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Beach L, Fetterplace K, Edbrooke L, Parry S, Curtis R, Rechnitzer T, Berney S, Denehy L. Low physical activity levels and poorer muscle strength are associated with reduced physical function at intensive care unit discharge: An observational study. Aust Crit Care 2015. [DOI: 10.1016/j.aucc.2014.10.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Wang Q, Henry AM, Harris JA, Oh SW, Joines KM, Nyhus J, Hirokawa KE, Dee N, Mortrud M, Parry S, Ouellette B, Caldejon S, Bernard A, Jones AR, Zeng H, Hohmann JG. Systematic comparison of adeno-associated virus and biotinylated dextran amine reveals equivalent sensitivity between tracers and novel projection targets in the mouse brain. J Comp Neurol 2015; 522:1989-2012. [PMID: 24639291 DOI: 10.1002/cne.23567] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [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: 12/20/2013] [Revised: 02/11/2014] [Accepted: 02/11/2014] [Indexed: 01/19/2023]
Abstract
As an anterograde neuronal tracer, recombinant adeno-associated virus (AAV) has distinct advantages over the widely used biotinylated dextran amine (BDA). However, the sensitivity and selectivity of AAV remain uncharacterized for many brain regions and species. To validate this tracing method further, AAV (serotype 1) was systematically compared with BDA as an anterograde tracer by injecting both tracers into three cortical and 15 subcortical regions in C57BL/6J mice. Identical parameters were used for our sequential iontophoretic injections, producing injections of AAV that were more robust in size and in density of neurons infected compared with those of BDA. However, these differences did not preclude further comparison between the tracers, because the pairs of injections were suitably colocalized and contained some percentage of double-labeled neurons. A qualitative analysis of projection patterns showed that the two tracers behave very similarly when injection sites are well matched. Additionally, a quantitative analysis of relative projection intensity for cases targeting primary motor cortex (MOp), primary somatosensory cortex (SSp), and caudoputamen (CP) showed strong agreement in the ranked order of projection intensities between the two tracers. A detailed analysis of the projections of two brain regions (SSp and MOp) revealed many targets that have not previously been described in the mouse or rat. Minor retrograde labeling of neurons was observed in all cases examined, for both AAV and BDA. Our results show that AAV has actions equivalent to those of BDA as an anterograde tracer and is suitable for analysis of neural circuitry throughout the mouse brain.
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Affiliation(s)
- Quanxin Wang
- Allen Institute for Brain Science, Seattle, Washington, 98103
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Fetterplace K, Beach L, Edbrooke L, Parry S, Curtis R, Rechnitzer T, Berney S, Denehy L. PP028-SUN: Associations between Cumulative Calorie Debt (CCD) in Intensive Care (ICU), The Diagnosis of Intensive Care Unit Acquired Weakness (ICUAW) and Length of Stay (LOS). Clin Nutr 2014. [DOI: 10.1016/s0261-5614(14)50070-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Fetterplace K, Beach L, Edbrooke L, Parry S, Curtis R, Rechnitzer T, Berney S, Denehy L. PP038-SUN: Measured Energy Expenditure Compared with Estimated Energy Requirments and Accelerometry in Intensive Care. Clin Nutr 2014. [DOI: 10.1016/s0261-5614(14)50080-5] [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] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Abstract
INTRODUCTION We sought to determine if early placental size, as measured by 3-dimensional ultrasonography, is associated with an increased risk of delivering a macrosomic or large-for-gestational age (LGA) infant. METHODS We prospectively collected 3-dimensional ultrasound volume sets of singleton pregnancies at 11-14 weeks and 18-24 weeks. Birth weights were collected from the medical records. After delivery, the ultrasound volume set were used to measure the placental volume (PV) and placental quotient (PQ = PV/gestational age), as well as the mean placental and chorionic diameters (MPD and MCD, respectively). Placental measures were analyzed as predictors of macrosomia (birth weight ≥4000 g) and LGA (birth weight ≥90th percentile). RESULTS The 578 pregnancies with first trimester volumes included 44 (7.6%) macrosomic and 43 (7.4%) LGA infants. 373 subjects also had second trimester volumes available. A higher PV and PQ were both significantly associated with macrosomia and LGA in both the first and second trimesters. Second trimester MPD was significantly associated with both outcomes as well, while second trimester MCD was only associated with LGA. The above associations remained significant after adjusting for maternal demographic variables such as race, ethnicity, age and diabetes. Adjusted models yielded moderate prediction of macrosomia and LGA (AUC: 0.71-0.77). CONCLUSIONS Sonographic measurement of the early placenta can identify pregnancies at greater risk of macrosomia and LGA. Macrosomia and LGA are already determined in part by early placental growth and development.
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Affiliation(s)
- N Schwartz
- Maternal and Child Health Research Program, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
| | - H S Quant
- Maternal and Child Health Research Program, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - M D Sammel
- Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - S Parry
- Maternal and Child Health Research Program, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
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Wang Q, Henry AM, Harris JA, Oh SW, Joines KM, Nyhus J, Hirokawa KE, Dee N, Mortrud M, Parry S, Ouellette B, Caldejon S, Bernard A, Jones AR, Zeng H, Hohmann JG. Systematic comparison of adeno-associated virus and biotinylated dextran amine reveals equivalent sensitivity between tracers and novel projection targets in the mouse brain. J Comp Neurol 2014. [DOI: 10.1002/cne.23587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Quanxin Wang
- Allen Institute for Brain Science; Seattle Washington 98103
| | - Alex M. Henry
- Allen Institute for Brain Science; Seattle Washington 98103
| | | | - Seung Wook Oh
- Allen Institute for Brain Science; Seattle Washington 98103
| | | | - Julie Nyhus
- Allen Institute for Brain Science; Seattle Washington 98103
| | | | - Nick Dee
- Allen Institute for Brain Science; Seattle Washington 98103
| | - Marty Mortrud
- Allen Institute for Brain Science; Seattle Washington 98103
| | - Sheana Parry
- Allen Institute for Brain Science; Seattle Washington 98103
| | | | | | - Amy Bernard
- Allen Institute for Brain Science; Seattle Washington 98103
| | - Allan R. Jones
- Allen Institute for Brain Science; Seattle Washington 98103
| | - Hongkui Zeng
- Allen Institute for Brain Science; Seattle Washington 98103
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Parry S, Denehy L, Berney S, Browning L. Clinical application of the Melbourne risk prediction tool in a high-risk upper abdominal surgical population: an observational cohort study. Physiotherapy 2014; 100:47-53. [DOI: 10.1016/j.physio.2013.05.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2013] [Accepted: 05/19/2013] [Indexed: 11/30/2022]
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36
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Vass CD, Sahota O, Drummond A, Kendrick D, Grainge M, Gladman J, Sach T, Avis M, O'Halloran AM, King-Kallimanis B, Kenny RA, Kumar A, Carpenter H, Morris R, Iliffe S, Kendrick D, Bamford C, Parry S, Deary V, Finch T, Cronin H, Savva G, O'Regan C, Donoghue OA, Kearney P, Kenny RA, Sutton GM, Hussain R, Bhangu J, King-Kallimanis B, Cunningham C, Kenny RA, Duggan E, Finucane C, Cronin H, O'Regan C, Savva G, Loughman J, Kenny RA, Donoghue OA, Horgan F, Savva G, Cronin H, O'Regan C, Kenny RA, Shipway DJH, Shipway MDH, Shah M, Jenkin RP, Wang Q, Chua EC. Falls, fractures and trauma. Age Ageing 2013. [DOI: 10.1093/ageing/aft019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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37
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Parry S, Straker L. Does work contribute to the sedentary risk of office workers? J Sci Med Sport 2012. [DOI: 10.1016/j.jsams.2012.11.481] [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] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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38
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Straker L, Campbell A, Mathiassen S, Abbott R, Parry S, Davey P. Capturing the pattern of activity: Exposure variation analysis of accelerometer data. J Sci Med Sport 2012. [DOI: 10.1016/j.jsams.2012.11.227] [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] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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39
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Schwartz N, Wang E, Parry S. Two-dimensional sonographic placental measurements in the prediction of small-for-gestational-age infants. Ultrasound Obstet Gynecol 2012; 40:674-679. [PMID: 22331557 DOI: 10.1002/uog.11136] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/30/2012] [Indexed: 05/31/2023]
Abstract
OBJECTIVES To determine the utility of two-dimensional (2D) sonographic placental measurements in the prediction of small-for-gestational-age (SGA) infants. METHODS The maximal diameter along the fetal surface of the placenta and the maximal placental thickness were measured at 18-24 weeks' gestation, and the measurements repeated in the orthogonal plane. 'Biometric lags' were calculated as the difference between sonographic gestational age, estimated using each of a number of fetal biometric measurements, and actual gestational age. These variables were analyzed individually and in combination as predictors of birth weight<10(th) percentile (SGA<10) and <5(th) percentile (SGA<5). RESULTS 1909 singleton pregnancies were included. Mean placental diameter (SGA<10, P<0.001; SGA<5, P=0.002) and thickness (SGA<10, P<0.006; SGA<5, P=0.065) were significantly smaller in SGA pregnancies. The biometric lags were greater in SGA pregnancies, the lag in abdominal circumference (AC) being the most predictive of SGA (P<0.0001). Multivariable models were significantly predictive of both SGA<10(th) percentile (area under the receiver-operating characteristics curve (AUC) =0.7404) and <5(th) percentile (AUC=0.7204), the best fitting models including AC lag and mean placental diameter and thickness. CONCLUSIONS 2D placental measurements taken in mid-gestation are significantly associated with the incidence of SGA. Biometric lags can improve the predictive ability further. These easily obtained variables should be considered in future efforts to develop a clinically useful predictive model for adverse outcome of pregnancy.
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Affiliation(s)
- N Schwartz
- Obstetrics and Gynecology; Maternal and Child Health Research Program, Hospital of the University of Pennsylvania, Philadelphia 19104, PA, USA. )
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40
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Dowty JG, Win AK, Buchanan D, Macinnis RJ, Lindor N, Thibodeau SN, Casey G, Gallinger S, LeMarchand L, Newcomb P, Haile R, Goldblatt J, Parry S, Macrae FA, Hopper JL, Jenkins MA. Substantial unexplained variation in cancer risks for MLH1 and MSH2 mutation carriers. Hered Cancer Clin Pract 2012. [PMCID: PMC3327266 DOI: 10.1186/1897-4287-10-s2-a33] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
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41
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Win AK, Walters RJ, Buchanan DD, Jenkins MA, Sweet K, McKeone DM, Walsh MD, Clendenning M, Pearson SA, Pavluk E, Nagler B, Hopper JL, Walker N, Rosty C, Parry S, Young JP. A study of cancer risks in relatives of patients with serrated polyposis. Hered Cancer Clin Pract 2012. [PMCID: PMC3326711 DOI: 10.1186/1897-4287-10-s2-a21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Parry S, Woodall S, Willdridge G, Walsh MD, Buchanan DD, Rosty C, Young JP. Serrated polyposis syndrome and colonoscopic surveillance: who is it safe to follow? Hered Cancer Clin Pract 2012. [PMCID: PMC3326694 DOI: 10.1186/1897-4287-10-s2-a20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Parry S, Win AK, Parry B, Kalady M, Macrae FA, Lindor NM, Haile RW, Newcomb PA, Le Marchand L, Gallinger S, Hopper JL, Jenkins MA. Metachronous colon cancer risk following surgery for first primary rectal cancer in Lynch syndrome. Hered Cancer Clin Pract 2012. [PMCID: PMC3327229 DOI: 10.1186/1897-4287-10-s2-a74] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Win AK, Dowty JG, English DR, Campbell PT, Young JP, Winship I, Macrae FA, Lipton L, Parry S, Young GP, Buchanan DD, Martínez ME, Jacobs ET, Ahnen DJ, Haile RW, Casey G, Baron JA, Lindor NM, Thibodeau SN, Newcomb PA, Potter JD, Le Marchand L, Gallinger S, Hopper JL, Jenkins MA. Body mass index in early adulthood and colorectal cancer risk for carriers and non-carriers of germline mutations in DNA mismatch repair genes. Br J Cancer 2011; 105:162-9. [PMID: 21559014 PMCID: PMC3137400 DOI: 10.1038/bjc.2011.172] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2011] [Revised: 04/15/2011] [Accepted: 04/20/2011] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Carriers of germline mutations in DNA mismatch repair (MMR) genes have a high risk of colorectal cancer (CRC), but the modifiers of this risk are not well established. We estimated an association between body mass index (BMI) in early adulthood and subsequent risk of CRC for carriers and, as a comparison, estimated the association for non-carriers. METHODS A weighted Cox regression was used to analyse height and weight at 20 years reported by 1324 carriers of MMR gene mutations (500 MLH1, 648 MSH2, 117 MSH6 and 59 PMS2) and 1219 non-carriers from the Colon Cancer Family Registry. RESULTS During 122,304 person-years of observation, we observed diagnoses of CRC for 659 carriers (50%) and 36 non-carriers (3%). For carriers, the risk of CRC increased by 30% for each 5 kg m(-2) increment in BMI in early adulthood (hazard ratio, HR: 1.30; 95% confidence interval, CI: 1.08-1.58; P=0.01), and increased by 64% for non-carriers (HR: 1.64; 95% CI: 1.02-2.64; P=0.04) after adjusting for sex, country, cigarette smoking and alcohol drinking (and the MMR gene that was mutated in carriers). The difference in HRs for carriers and non-carriers was not statistically significant (P=0.50). For MLH1 and PMS2 (MutLα heterodimer) mutation carriers combined, the corresponding increase was 36% (HR: 1.36; 95% CI: 1.05-1.76; P=0.02). For MSH2 and MSH6 (MutSα heterodimer) mutation carriers combined, the HR was 1.26 (95% CI: 0.96-1.65; P=0.09). There was no significant difference between the HRs for MutLα and MutSα heterodimer carriers (P=0.56). CONCLUSION Body mass index in early adulthood is positively associated with risk of CRC for MMR gene mutation carriers and non-carriers.
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Affiliation(s)
- A K Win
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Melbourne School of Population Health, Level 3, 207 Bouverie Street, Parkville, Victoria 3010, Australia
| | - J G Dowty
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Melbourne School of Population Health, Level 3, 207 Bouverie Street, Parkville, Victoria 3010, Australia
| | - D R English
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Melbourne School of Population Health, Level 3, 207 Bouverie Street, Parkville, Victoria 3010, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Carlton South, Victoria, Australia
| | - P T Campbell
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
- Cancer Prevention Program, Fred Hutchinson Cancer Research Centre, Seattle, WA, USA
| | - J P Young
- Familial Cancer Laboratory, Queensland Institute of Medical Research, Herston, Queensland, Australia
| | - I Winship
- Adult Clinical Genetics, The University of Melbourne, Parkville, Victoria, Australia
| | - F A Macrae
- Department of Colorectal Medicine and Genetics, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - L Lipton
- Ludwig Institute for Cancer Research, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - S Parry
- New Zealand Familial Gastrointestinal Cancer Registry, Auckland City Hospital, Auckland, New Zealand
- Department of Gastroenterology, Middlemore Hospital, Auckland, New Zealand
| | - G P Young
- Flinders Centre for Cancer Prevention and Control, Flinders University, Adelaide, South Australia, Australia
| | - D D Buchanan
- Familial Cancer Laboratory, Queensland Institute of Medical Research, Herston, Queensland, Australia
| | - M E Martínez
- Arizona Cancer Centre, University of Arizona, Tucson, AZ, USA
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - E T Jacobs
- Arizona Cancer Centre, University of Arizona, Tucson, AZ, USA
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - D J Ahnen
- Denver VA Medical Center and University of Colorado Denver School of Medicine, Denver, CO, USA
| | - R W Haile
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - G Casey
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - J A Baron
- Department of Medicine and Department of Community and Family Medicine, Dartmouth Medical School, Lebanon, NH, USA
| | - N M Lindor
- Department of Medical Genetics, Mayo Clinic, Rochester, MN, USA
| | - S N Thibodeau
- Department of Medical Genetics, Mayo Clinic, Rochester, MN, USA
| | - P A Newcomb
- Cancer Prevention Program, Fred Hutchinson Cancer Research Centre, Seattle, WA, USA
| | - J D Potter
- Cancer Prevention Program, Fred Hutchinson Cancer Research Centre, Seattle, WA, USA
| | - L Le Marchand
- Cancer Research Center of Hawaii, University of Hawaii, Honolulu, HI, USA
| | - S Gallinger
- Cancer Care Ontario, Toronto, Ontario, Canada
| | - J L Hopper
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Melbourne School of Population Health, Level 3, 207 Bouverie Street, Parkville, Victoria 3010, Australia
| | - M A Jenkins
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Melbourne School of Population Health, Level 3, 207 Bouverie Street, Parkville, Victoria 3010, Australia
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Jeffcoat M, Parry S, Sammel M, Clothier B, Catlin A, Macones G. Periodontal infection and preterm birth: successful periodontal therapy reduces the risk of preterm birth. BJOG 2011. [DOI: 10.1111/j.1471-0528.2011.02914.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Jeffcoat M, Parry S, Sammel M, Clothier B, Catlin A, Macones G. Periodontal infection and preterm birth: successful periodontal therapy reduces the risk of preterm birth. BJOG 2010; 118:250-6. [PMID: 20840689 DOI: 10.1111/j.1471-0528.2010.02713.x] [Citation(s) in RCA: 80] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE This study tested the hypothesis that successful periodontal treatment was associated with a reduction in the incidence of spontaneous preterm birth (PTB). DESIGN This was a randomised, controlled, blinded clinical trial. SETTING Hospital outpatient clinic. POPULATION Pregnant women of 6-20 weeks of gestation were eligible. METHODS Of 322 pregnant women with periodontal disease, 160 were randomly assigned to receive scaling and root planing (SRP, cleaning above and below the gum line), plus oral hygiene instruction, whereas the remaining 162 received only oral hygiene instruction and served as an untreated control group. Subjects received periodontal examinations before and 20 weeks after SRP, and were classified blindly according to the results of treatment into two groups: successful ('non-exposure') and unsuccessful ('exposure') treatment. Groups were compared using standard inferential statistics; dichotomous variables were compared using the chi-square test or logistic regression. Results are presented in terms of odds ratios. MAIN OUTCOME MEASURE The main outcome measure was spontaneous preterm birth before 35 weeks of gestation. RESULTS No significant difference was found between the incidence of PTB in the control group (52.4%; n = 162) and the periodontal treatment group (45.6%; n = 160) (P < 0.13, Fisher's exact test). The incidence of PTB was compared within the periodontal treatment group, considering the success of therapy. A logistic regression analysis showed a strong and significant relationship between successful periodontal treatment and full-term birth (adjusted odds ratio 6.02; 95% CI 2.57-14.03). Subjects refractory to periodontal treatment were significantly more likely to have PTB. CONCLUSIONS A beneficial effect on PTB may be dependent on the success of periodontal treatment.
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Affiliation(s)
- M Jeffcoat
- University of Pennsylvania, Philadelphia, 19104, USA.
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Travis K, Bartels M, Billington R, Davies W, Dent M, Hawksworth G, Parry S, Saghir S, Creton S. The double value of toxicokinetics: Improved chemical hazard and risk assessment plus reduction and refinement of animal use. Toxicol Lett 2010. [DOI: 10.1016/j.toxlet.2010.03.347] [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] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Parry S, Win A, Macrae F, Parry B, Lindor NM, Gallinger S, Hopper JL, Jenkins MA. Metachronous colorectal cancer in mismatch repair gene mutation carriers: The advantage of more extensive surgery. J Clin Oncol 2010. [DOI: 10.1200/jco.2010.28.15_suppl.3515] [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] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Wright DM, Parry S, Arnold J, Bissett I, Hulme-Moir M, Parry B. CR07�*IMMUNOHISTOCHEMISTRY FOR LOSS OF EXPRESSION OF MISMATCH REPAIR GENE PROTEINS IN YOUNG PATIENTS WITH COLORECTAL CANCER: THE AUCKLAND EXPERIENCE. ANZ J Surg 2009. [DOI: 10.1111/j.1445-2197.2009.04915_7.x] [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] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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