119 Works

Improving assessments of data-limited populations using life-history theory

Cat Horswill, Andrea Manica, Francis Daunt, Mark Newell, Sarah Wanless, Matthew Wood & Jason Matthiopoulos
1. Predicting how populations may respond to climate change and anthropogenic pressures requires detailed knowledge of demographic traits, such as survival and reproduction. However, the availability of these data varies greatly across space and taxa. Therefore, it is common practice to conduct population assessments by filling in missing values from surrogate species or other populations of the same species. Using these independent surrogate values concurrently with observed data neglects the life‐history trade‐offs that connect the...

Long non-coding RNA PCAT1 drives clear cell renal cell carcinoma by upregulating YAP via sponging miR-656 and miR-539

Rui Wang, Bin Zheng, Hongyan Liu & Xiuxian Wan
Clear cell renal cell carcinoma (ccRCC) is the most common RCC subtype with high metastasis, poor prognosis and conventional chemotherapy resistance. Prostate cancer associated transcript 1 (PCAT1) is an important lncRNA that was reported to be involved in cell proliferation, migration and invasion of several types of cancer cells. However, its role in ccRCC is still undetermined. This study found that PCAT1 levels were elevated in ccRCC tumors as well as several ccRCC cells, and...

Emergence of ST11-K47 and ST11-K64 hypervirulent carbapenem-resistant Klebsiella pneumoniae in bacterial liver abscesses from China: a molecular, biological, and epidemiological study

Qiwen Yang, Xinmiao Jia, Menglan Zhou, Hui Zhang, Wenhang Yang, Timothy Kudinha & Yingchun Xu
Background: Multidrug-resistant bacteria, especially those with high virulence, are an emerging problem in clinical settings. Methods: We conducted a multicentre epidemiological and comparative genomic analysis on the evolution, virulence and antimicrobial resistance of carbapenem-resistant Enterobacteriaceae in patients with bacterial liver abscesses from 2012 to 2016. Results: A total of 477 bacterial isolates were collected. Enterobacteriaceae were the main pathogen (89.3%) with K. pneumoniae (52.4%) predominating followed by Escherichia coli (26.8%). All CRKps (3.2%) were of...

A qualitative study of sedentary behaviours in stroke survivors: non-participant observations and interviews with stroke service staff in stroke units and community services

Sarah Morton, Jennifer Hall, Claire Fitzsimons, Jessica Hall, Coralie English, Anne Forster, Rebecca Lawton, Anita Patel, Gillian Mead & David J. Clarke
Sedentary behaviour (SB) is associated with negative health outcomes and is prevalent post-stroke. This study explored SB after stroke from the perspective of stroke service staff. Qualitative mixed-methods study. Non-participant observations in two stroke services (England/Scotland) and semi-structured interviews with staff underpinned by the COM-B model of behaviour change. Observations were analysed thematically; interviews were analysed using the Framework approach. One hundred and thirty-two observation hours (October - December 2017), and 31 staff interviewed (January...

A genome-wide association study of total child psychiatric problems scores: summary statistics

Alexander Neumann, Ilja M. Nolte, Irene Pappa, Tarunveer S. Ahluwalia, Erik Pettersson, Alina Rodriguez, Andrew J.O. Whitehouse, Catharina van Beijsterveldt, Beben Benyamin, Anke Hammerschlag, Quinta Helmer, Ville Karhunen, Eva Krapohl, Yi Lu, Peter van der Most, Teemu Palviainen, Beate St. Pourcain, Ilkka Seppälä, Anna Suarez, Natalia Vilor-Tejedor, Carla M. T. Tiesler, Carol Wang, Amanda Wills, Ang Zhou, Silvia Alemany … & Henning Tiemeier
Summary statistics for EAGLE GWAS on total child psychiatric problems scores.
Data is provided in R binary format and can be loaded within R with load("total_child_psychiatric_GWAS.Rdata").
snp: SNP RS ID effect_allele: Effect allele other_allele: Other allele beta: Change in total psychiatric problem score in SD per number of effect allele se: Standard Error p: p-value n: Sample Size
For more information, see PLOS ONE publication:
Neumann A, Nolte IM, [...], Hartman...

How to render species comparable taxonomic units through deep time: A case study on intraspecific osteological variability in extant and extinct Lacertid lizards

Emanuel Tschopp, James Napoli, Lukardis Wencker, Massimo Delfino & Paul Upchurch
Generally, the species is considered to be the only naturally occurring taxon. However, species recognised and defined using different species delimitation criteria cannot readily be compared, impacting studies of biodiversity through Deep Time. This comparability issue is particularly marked when comparing extant with extinct species, because the only available data for species delimitation in fossils is derived from their preserved morphology, which is generally restricted to osteology in vertebrates. Here, we quantify intraspecific, intrageneric, and...

Data from: The impact of long-term azithromycin on antibiotic resistance in HIV-associated chronic lung disease

Regina Esinam Abotsi, Mark P. Nicol, Grace McHugh, Victoria Simms, Andrea M. Rehman, Charmaine Barthus, Lucky G. Ngwira, Brenda Kwambana-Adams, Robert S Heyderman, Jon Ø Odland, Rashida A Ferrand & Felix S. Dube
Background: Selection for resistance to azithromycin (AZM) and other antibiotics such as tetracyclines and lincosamides remains a concern with long-term AZM use for treatment of chronic lung diseases (CLD). We investigated the impact of 48 weeks of AZM on the carriage and antibiotic resistance of common respiratory bacteria among children with HIV-associated CLD. Methods: Nasopharyngeal (NP) swabs and sputa were collected at baseline, 48 and 72 weeks from participants with HIV-associated CLD randomised to receive...

Development of a swallowing risk screening tool and best practice recommendations for the management of oropharyngeal dysphagia following acute cervical spinal cord injury: an international multi-professional Delphi consensus

Jackie McRae, Christina Smith, Suzanne Beeke & Anton Emmanuel
International multi-professional expert consensus was sought to develop best practice recommendations for clinical management of patients following cervical spinal cord injury with oropharyngeal dysphagia and associated complications. Additionally, risk factors for dysphagia were identified to support the development of a screening tool. A two-round Delphi study was undertaken with a 27-member panel of expert professionals in cervical spinal cord injury and complex dysphagia. They rated 85 statements across seven topic areas in round one, using...

Paeoniflorin reduce luxS/AI-2 system-controlled biofilm formation and virulence in Streptococcus suis

Jinpeng Li, Qingying Fan, Manyu Jin, Chenlong Mao, Hui Zhang, Xiaoling Zhang, Liyun Sun, Daniel Grenier, Li Yi, Xiaogai Hou & Yang Wang
Streptococcus suis (S. suis), more specifically serotype 2, is a bacterial pathogen that threatens the lives of pigs and humans. Like many other pathogens, S. suis exhibits quorum sensing (QS) system-controlled virulence factors, such as biofilm formation that complicates treatment. Therefore, impairing the QS involving LuxS/AI-2 cycle in S. suis, may be a promising alternative strategy for overcoming S. suis infections. In this study, we investigated paeoniflorin (PF), a monoterpenoid glycoside compound extracted from peony,...

An approach to assessing the contribution of the high LET effect in strategies for Auger endoradiotherapy

Pavel Lobachevsky, Colin Skene, Laura Munforte, Andrea Smith, Jonathan White & Roger F. Martin
Purpose: The interest in exploiting Auger emitters in cancer therapy stems from their high linear energy transfer (LET)-type radiation damage to DNA. However, the design of Auger-emitter labeled vehicles that target the Auger cascade specifically to the DNA of tumour cells is challenging. Here we suggest a possible approach to evaluate tumour-targeting Auger-labeled conjugates by assessing the impact of a radioprotector known to be effective in protecting from low LET radiation, but not high LET...

AI3SD Video: Skills4Scientists - Poster & Careers Symposium - Poster Compilation

András Vekassy, Aspen Fenzl, Erhan Gulsen, Hewan Zewdu, Jamie Longio, Maximilian Hoffman, Rhyan Barrett, Rubaiyat Khondaker, Anna Catton, Hongyang Dong, Kevin Calvache, Kaylee Patel, King Wong, Louis Greenhalgh, Rebecca Jane Clements, Thomas Allam, Sarah Scripps, Gavin Man, Samuel Munday, Michael Blakey, Graeme M. Day, Chris-Kriton Skylaris, Simon J. Coles, Stephen Gow & William Brocklesby
This video forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD...

Evidence for ecological processes driving speciation among endemic lizards of Madagascar

Laura A. Nunes, Christopher J. Raxworthy & Richard G. Pearson
Although genetic patterns produced by population isolation during speciation are well documented, the biogeographic and ecological processes that trigger speciation remain poorly understood. Alternative hypotheses for the biogeography and ecology of speciation include geographic isolation combined with niche conservation (soft allopatry), or parapatric distribution on an environmental gradient with niche divergence (ecological speciation). Here we utilize species’ distributions, environmental data and two null models (Random Translation and Rotation, RTR, and the Background Similarity Test, BST)...

Imaging mass cytometry data: Diffuse large B-cell lymphoma lymph node section

Jessica Timms, James Opzoomer, Kevin Blighe, Thanos Mourikis, Nicolas Chapuis, Richard Bekoe, Sedigeh Kareemaghay, Paola Nocerino, Benedetta Apollonio, Alan Ramsay, Mahvash Tavassoli, Claire Harrison, Francesca Ciccarelli, Peter Parker, Michaela Fontenay, Paul Barber, James Arnold & Shahram Kordasti
High dimensional cytometry is an innovative tool for immune monitoring in health and disease, it has provided novel insight into the underlying biology as well as biomarkers for a variety of diseases. However, the analysis of large multiparametric datasets usually requires specialist computational knowledge. Here we describe ImmunoCluster (https://github.com/kordastilab/ImmunoCluster) an R package for immune profiling cellular heterogeneity in high dimensional liquid and imaging mass cytometry, and flow cytometry data, designed to facilitate computational analysis by...

Flow cytometry data: healthy donor bone marrow taken during hip surgery

Jessica Timms, James Opzoomer, Kevin Blighe, Thanos Mourikis, Nicolas Chapuis, Richard Bekoe, Sedigeh Kareemaghay, Paola Nocerino, Benedetta Apollonio, Alan Ramsay, Mahvash Tavassoli, Claire Harrison, Francesca Ciccarelli, Peter Parker, Michaela Fontenay, Paul Barber, James Arnold & Shahram Kordasti
High dimensional cytometry is an innovative tool for immune monitoring in health and disease, it has provided novel insight into the underlying biology as well as biomarkers for a variety of diseases. However, the analysis of large multiparametric datasets usually requires specialist computational knowledge. Here we describe ImmunoCluster (https://github.com/kordastilab/ImmunoCluster) an R package for immune profiling cellular heterogeneity in high dimensional liquid and imaging mass cytometry, and flow cytometry data, designed to facilitate computational analysis by...

Forecasts, neural networks, and results from the paper: 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'

Tom R. Andersson & J. Scott Hosking
This dataset encompasses data produced in the study 'Seasonal Arctic sea ice forecasting with probabilistic deep learning', published in Nature Communications. The study introduces a new Arctic sea ice forecasting AI system, IceNet, which predicts monthly-averaged sea ice probability (SIP; probability of sea ice concentration > 15%) up to 6 months ahead at 25 km resolution. The study demonstrated IceNet's superior seasonal forecasting skill over a state-of-the-art physics-based sea ice forecasting system, ECMWF SEAS5, and...

Biodiversity-productivity relationships are key to nature-based climate solutions

Akira Mori, Laura Dee, Andrew Gonzalez, Haruka Ohashi, Jane Cowles, Alexandra Wright, Michel Loreau, Yann Hautier, Tim Newbold, Peter Reich, Tetsuya Matsui, Wataru Takeuchi, Kei-Ichi Okada, Rupert Seidl & Forest Isbell
The global impacts of biodiversity loss and climate change are interlinked but the feedbacks between them are rarely assessed. Areas with greater tree diversity tend to be more productive, providing a greater carbon sink, and biodiversity loss could reduce these natural C sinks. Here, we quantify how tree and shrub species richness could affect biomass production at biome, national and regional scales. We find that greenhouse gas mitigation could help maintain tree diversity and thereby...

Supplemental Materials for the paper \"Oxygen surface exchange properties and electrochemical activity of lanthanum nickelates\"

Artur Majewski, Anna Khodimchuk, Dmitriy Zakkarov, Natalia Porotnikova, Maxim Ananyev, Ian D. Johnson, Janwwad A. Darr, Peter R. Slater & Robert Steinberger-Wilckens

Sleep behaviour in children with language disorder

Victoria Knowland, Mohreet Rauni, M. Gareth Gaskell, Sarah Walker, Elaine van Rijn, Lisa-Marie Henderson & Courtenay Norbury
Sleep and language are intimately linked over childhood, yet objective measurements of sleep behaviour have never been compared between children with developmental disorders of language and their language-typical peers. The aim of this two-study series was to assess an emergent hypothesis that children with poor structural language development may also exhibit poor sleep. In Study 1, 196 parents of 4-10 year-old children completed the Children’s Sleep Habits Questionnaire and the Children’s Communication Checklist-2, including the...

Video demonstrating trabecular segmentation of a mouse epiphysis

Eva C. Herbst, Alessandro Felder, Lucinda Evans, Sara Ajami, Behzad Javaheri & Andrew Pitsillides
This video demonstrates our automatic trabecular segmentation method on the tibial epiphysis of a 20 week old CBA mouse. Details of this method can be found on our github repository: https://github.com/evaherbst/Trabecular_Segmentation_Avizo

STR/Ort mouse epiphysis (male, 51wk, #123.124) CT stack

Eva C. Herbst, Alessandro Felder, Lucinda Evans, Sara Ajami, Behzad Javaheri & Andrew Pitsillides
CT stack of a male, 51-week-old STR/Ort mouse epiphysis .
Voxel size = 0.005 mm
Ethical approval for the animal procedures was carried out in accordance with the Animals (Scientific Procedures) Act 1986, an Act of Parliament of the United Kingdom, approved by the Royal Veterinary College Ethical Review Committee and the United Kingdom Government Home Office.

CBA mouse epiphysis (male, 20wk, #4) CT stack

Eva C. Herbst, Alessandro Felder, Lucinda Evans, Sara Ajami, Behzad Javaheri & Andrew Pitsillides
CT stack of a male, 20-week-old CBA mouse epiphysis .
Voxel size = 0.005 mm
Ethical approval for the animal procedures was carried out in accordance with the Animals (Scientific Procedures) Act 1986, an Act of Parliament of the United Kingdom, approved by the Royal Veterinary College Ethical Review Committee and the United Kingdom Government Home Office.

Risky decision and happiness task: The Great Brain Experiment smartphone app

Robb B. Rutledge
This resource consists of data from a risky decision and happiness task that was part of The Great Brain Experiment (GBE) smartphone app. Data were collected from 47,067 participants aged 18+ between March 8, 2013 and October 5, 2015. These anonymous unpaid participants completed the task a total of 91,058 times making approximately 2.7 million choices and 1.1 million happiness ratings in total. This resource represents at least 6,000 hours of task data. A subset...

Structural brain network abnormalities and the probability of seizure recurrence after epilepsy surgery: supplementary material

Nishant Sinha, Yujiang Wang, Nádia Moreira Da Silva, Anna Miserocchi, Andrew McEvoy, Jane De Tisi, Sjoerd Vos, Gavin Winston, John Duncan & Peter Taylor
Objective: We assessed pre-operative structural brain networks and clinical characteristics of patients with drug resistant temporal lobe epilepsy (TLE) to identify correlates of post-surgical seizure recurrences. Methods: We examined data from 51 TLE patients who underwent anterior temporal lobe resection (ATLR) and 29 healthy controls. For each patient, using the preoperative structural, diffusion, and post-operative structural MRI, we generated two networks: ‘pre-surgery’ network and ‘surgically-spared’ network. Standardising these networks with respect to controls, we determined...

Iron-Nickel-Sulfide Characterisation and Catalytic Testing Data

Claire Mitchell, David Santos-Carballal, Andrew M Beale, Wilm Jones, Sankar Meenakshisundaram & Nora H De Leeuw
Catalytic data describing the production of formate from the hydrogenation of CO2 using iron-sulfide, iron-nickel-sulphide and nickel-sulfide catalysts prepared with different heat treatments under a range of reaction conditions. Catalyst characterisation of these materials include XRD analysis, giving an understanding of the violarite phase and crystallinity. XPS analysis gains understanding of the iron, nickel and sulphur species, and how sulphide and oxide species change under thermal oxidation. XAS analysis employed is vital to gain more...

Imaging mass cytometry data: Head and neck squamous cell carcinoma tissue section

Jessica Timms, James Opzoomer, Kevin Blighe, Thanos Mourikis, Nicolas Chapuis, Richard Bekoe, Sedigeh Kareemaghay, Paola Nocerino, Mahvash Tavassoli, Claire Harrison, Francesca Ciccarelli, Peter Parker, James Arnold, Benedetta Apollonio, Alan Ramsay, Michaela Fontenay, Paul Barber, James Arnold & Shahram Kordasti
High dimensional cytometry is an innovative tool for immune monitoring in health and disease, it has provided novel insight into the underlying biology as well as biomarkers for a variety of diseases. However, the analysis of multiparametric “big data” usually requires specialist computational knowledge. Here we describe ImmunoCluster (https://github.com/kordastilab/ImmunoCluster) an R package for immune profiling cellular heterogeneity in high dimensional liquid and imaging mass cytometry, and flow cytometry data, designed to facilitate computational analysis by...

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  • University College London
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