8 research outputs found
Identification of Cuproptosis-Associated Prognostic Gene Expression Signatures from 20 Tumor Types
No full textWe investigated the mRNA expression of 124 cuproptosis-associated genes in 7489 biopsies from 20 different tumor types of The Cancer Genome Atlas (TCGA). The KM plotter algorithm has been used to calculate Kaplan–Meier statistics and false discovery rate (FDR) corrections. Interaction networks have been generated using Ingenuity Pathway Analysis (IPA). High mRNA expression of 63 out of 124 genes significantly correlated with shorter survival times of cancer patients across all 20 tumor types. IPA analyses revealed that their gene products were interconnected in canonical pathways (e.g., cancer, cell death, cell cycle, cell signaling). Four tumor entities showed a higher accumulation of genes than the other cancer types, i.e., renal clear cell carcinoma (n = 21), renal papillary carcinoma (n = 13), kidney hepatocellular carcinoma (n = 13), and lung adenocarcinoma (n = 9). These gene clusters may serve as prognostic signatures for patient survival. These signatures were also of prognostic value for tumors with high mutational rates and neoantigen loads. Cuproptosis is of prognostic significance for the survival of cancer patients. The identification of specific gene signatures deserves further exploration for their clinical utility in routine diagnostics
Effect of Financing Determinants on Capital Structure for Manufacturing and Value-Added Firms in Nairobi City County
No full textAbstract: The general objective of this study was to establish the effect of financing determinants on capital structure for manufacturing and value-added firms in Nairobi City County. The specific objectives were; to analyze the effect of profitability on capital structure for manufacturing and value-added firms, to identify how levels of liquidity of a firm determines capital structure, to investigate how corporate taxes contribute to capital structure for manufacturing and value-added firms and to establish how competitive parity among manufacturing and value-added companies influence capital structure. The study reviewed theories that are relevant to the study. These theories included Capital irrelevancy theory, pecking order theory, Modigliani and Miller (1958) without Corporate Taxes, Modigliani and Miller with Corporate Taxes (1963) and competitive advantage theory. The research design, the research population, sample and sampling, data collection methods, and the data presentation and analysis will be elaborated in this study. The study used descriptive research design and inferential research design. The study’s target population was 256 manufacturing and value-addition firms in Nairobi from which a sample of 112 was used. Primary data used which was collected through self-administered questionnaires. Data analysis was done through Statistical Package for Social Science (SPSS) Version 25. Descriptive statistics included bar graphs, pie charts, means, standard deviations and percentages. Inferential statistics included Pearson Correlation and regression analysis. The study revealed that profitability had a positive significant effect on capital structure of manufacturing and value-addition firms in Nairobi County (β=0.462, p=0.000). Liquidity had a positive significant effect on capital structure of manufacturing and value-addition firms in Nairobi County (β=0.317, p=0.000). Competitive parity had a zero insignificant effect on capital structure of manufacturing and value-addition firms in Nairobi County (β=0.050, p=0.401). Corporate taxes registered a positive significant relationship with capital structure of manufacturing and value-addition firms in Nairobi County (β=0.513. p=0.000). The overall regression analysis revealed that financing determinants have a statistically significant effect on capital structure of manufacturing and value-addition firms in Nairobi County (R-square= 0.644, p=0.000). The study recommends for an increase in the scope for future studies to cover the Kenyan manufacturing and value-addition sector as a whole.
Keywords: Profitability, Liquidity, Valued-Added, Corporate Taxes, Capital Structure.
Title: Effect of Financing Determinants on Capital Structure for Manufacturing and Value-Added Firms in Nairobi City County
Author: Duke Ooko Mose, Dr. Jane Queen Omwenga, Dr. Charles Weda
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
Vol. 10, Issue 4, October 2022 - December 2022
Page No: 211-236
Research Publish Journals
Website: www.researchpublish.com
Published Date: 15-October-2022
DOI: https://doi.org/10.5281/zenodo.7211828
Paper Download Link (Source)
https://www.researchpublish.com/papers/effect-of-financing-determinants-on-capital-structure-for-manufacturing-and-value-added-firms-in-nairobi-city-countyInternational Journal of Social Science and Humanities Research, ISSN 2348-3156 (Print), ISSN 2348-3164 (online), Research Publish Journals, Website: www.researchpublish.co
Predictive and Prognostic Relevance of ABC Transporters for Resistance to Anthracycline Derivatives
No full textAnthracyclines have been clinically well established in cancer chemotherapy for decades. The main limitations of this drug class are the development of resistance and severe side effects. In the present investigation, we analyzed 30 anthracyclines in a panel of 59 cell lines of the National Cancer Institute, USA. The log10IC50 values varied from −10.49 M (3′-deamino-3′-(4″-(3″-cyano)morpholinyl)-doxorubicin, 1) to −4.93 M (N,N-dibenzyldaunorubicin hydrochloride, 30). Multidrug-resistant NCI-ADR-Res ovarian cancer cells revealed a high degree of resistance to established anthracyclines (between 18-fold to idarubicin (4) and 166-fold to doxorubicin (13) compared to parental, drug-sensitive OVCAR8 cells). The resistant cells displayed only low degrees of resistance (1- to 5-fold) to four other anthracyclines (7, 18, 28, 30) and were even hypersensitive (collaterally sensitive) to two compounds (1, 26). Live cell time-lapse microscopy proved the cross-resistance of the three chosen anthracyclines (4, 7, 9) on sensitive CCRF/CEM and multidrug-resistant CEM/ADR5000 cells. Structure–activity relationships showed that the presence of tertiary amino functions is helpful in avoiding resistance, while primary amines rather increased resistance development. An α-aminonitrile function as in compound 1 was favorable. Investigating the mRNA expression of 49 ATP-binding cassette (ABC) transporter genes showed that ABCB1/MDR1 encoding P-glycoprotein was the most important one for acquired and inherent resistance to anthracyclines. Molecular docking demonstrated that all anthracyclines bound to the same binding domain at the inner efflux channel side of P-glycoprotein with high binding affinities. Kaplan–Meier statistics of RNA sequencing data of more than 8000 tumor biopsies of TCGA database revealed that out of 23 tumor entities high ABCB1 expression was significantly correlated with worse survival times for acute myeloid leukemia, multiple myeloma, and hepatocellular carcinoma patients. This indicates that ABCB1 may serve as a prognostic marker in anthracycline-based chemotherapy regimens in these tumor types and a target for the development of novel anthracycline derivatives
Early loss to follow-up of recently diagnosed HIV-infected adults from routine pre-ART care in a rural district hospital in Kenya: a cohort study.
No full textOBJECTIVE: To determine the rate and predictors of early loss to follow-up (LTFU) for recently diagnosed HIV-infected, antiretroviral therapy (ART)-ineligible adults in rural Kenya. METHODS: Prospective cohort study. Clients registering for HIV care between July 2008 and August 2009 were followed up for 6 months. Baseline data were used to assess predictors of pre-ART LTFU (not returning for care within 2 months of a scheduled appointment), LTFU before the second visit and LTFU after the second visit. Logistic regression was used to determine factors associated with LTFU before the second visit, while Cox regression was used to assess predictors of time to LTFU and LTFU after the second visit. RESULTS: Of 530 eligible clients, 178 (33.6%) were LTFU from pre-ART care (11.1/100 person-months). Of these, 96 (53.9%) were LTFU before the second visit. Distance (>5 km vs. <1 km: adjusted hazard ratio 2.6 [1.9-3.7], P < 0.01) and marital status (married vs. single: 0.5 [0.3-0.6], P < 0.01) independently predicted pre-ART LTFU. Distance and marital status were independently associated with LTFU before the second visit, while distance, education status and seasonality showed weak evidence of predicting LTFU after the second visit. HIV disease severity did not predict pre-ART LTFU. CONCLUSIONS: A third of recently diagnosed HIV-infected, ART-ineligible clients were LTFU within 6 months of registration. Predictors of LTFU among ART-ineligible clients are different from those among clients on ART. These findings warrant consideration of an enhanced pre-ART care package aimed at improving retention and timely ART initiation
Innovative Open Education: Fostering Resilient Societies for Sustainable Economic Development. Conference Proceedings – PCF11 Selected Papers
No full textThis book of proceedings presents selected papers from the Eleventh Pan-Commonwealth Forum (PCF11), co-hosted by the Commonwealth of Learning (COL) and the Government of Botswana in Gaborone from 10–12 September 2025. The purpose of this publication is to curate and disseminate high-quality, peer-reviewed contributions that reflect both scholarly insight and practical innovation. It serves as a resource for advancing policy, practice and research in open and distance learning (ODL) in support of Sustainable Development Goal 4 on inclusive, equitable quality education and lifelong learning.
The central theme of PCF11, also reflected in the title of this book—Innovative Open Education: Fostering Resilient Societies for Sustainable Economic Development—highlights the role of openness in building social resilience, widening access, reducing inequities and supporting sustainable economic growth. The book is organised around four interrelated sub-themes that structure the proceedings and frame contemporary debates in the field: (1) changing mindsets for inclusive open education; (2) gender, technology and innovation in open education; (3) skills development through lifelong open education; and (4) sustaining communities of learning and practice in innovative open education.
The volume includes a carefully selected set of papers identified through a rigorous two-phase blind peer review process, with sub-theme leaders nominating the highest-ranked contributions for publication. Together, these papers illustrate diverse experiences, evidence-based practices and policy-relevant insights from across the Commonwealth.
The primary target audience for this book comprises policymakers, development practitioners, academics, researchers, technology innovators, COL stakeholders and partner institutions engaged in open, online and flexible learning. As such, the proceedings aim to inform decision-making, inspire innovation and strengthen collaboration in pursuit of resilient, inclusive and sustainable education systems.
Title: Recognition of Prior Learning and Micro-credentials for Enhancing Inclusion, Access and Success in the UCT Postgraduate Diploma in Blended and Online Learning Design: A Social Justice Lens
Author(s): Tabisa Mayisela; Shanali Govender; Daniela Gachago Pages: 11–22
DOI: https://doi.org/10.56059/11599/6064.001
Title: Changing Mindset for Open and Distance Learning System: University of The Gambia Experience
Author(s): Kayode S. Adekeye; Ousainou Sarr; Raphael K. Ayeni; Mbemba Hydara; Jane-Frances Agbu; Francisca U. Ezike
Pages: 23–42
DOI: https://doi.org/10.56059/11599/6064.002
Title: Unlocking the Potential of Open Educational Practices in Bangladesh — Why Mindset Shift Matters
Author(s): Mostafa Azad Kamal; Jane-Frances Agbu; Md. Mahfuzur Rahman
Pages: 43–54
DOI: https://doi.org/10.56059/11599/6064.003
Title: Pedagogy of Care in a Blended Teaching and Learning Distance Teacher Education Programme
Author(s): F. R. Aluko; M. A. Ooko
Pages: 55–64
DOI: https://doi.org/10.56059/11599/6064.004
Title: Enhancing Teacher–Student Interaction through Open Education in Hybrid Learning in Cameroonian Universities
Author(s): Shaibou Abdoulai Haji; Jane-Frances Agbu
Pages: 65–77
DOI: https://doi.org/10.56059/11599/6064.005
Title: Leveraging Technology-Enabled Learning and Open Educational Resources for Educational Equity: A Case Study in a Small Island State
Author(s): Romeela Mohee; Anjusha Durbarry
Pages: 79–88
DOI: https://doi.org/10.56059/11599/6064.006
Title: Empowering Future Teachers: Skills Development and Training Needs for AI Integration in ODL Teacher Education
Author(s): Geesje van den Berg
Pages: 89–99
DOI: https://doi.org/10.56059/11599/6064.007
Title: Leveraging AI-Driven Chatbots to Enhance First-Year Student Support: The USP SEM ZERO-GPT Initiative
Author(s): Raveena Goundar; Rajni Chand; Mohammed Hussein Pages: 100–110
DOI: https://doi.org/10.56059/11599/6064.008
Title: The Use of Artificial Intelligence in Teacher Education Students’ Assessment Practices in Open Distance E-learning
Author(s): Patience Kelebogile Mudau
Pages: 111–124
DOI: https://doi.org/10.56059/11599/6064.009
Title: Gender and Disability-related Influences on Teachers’ Access to Technology-Mediated Professional Learning in Tanzania
Author(s): Sara Hennessy; Kristeen Chachage; Saalim Koomar; Calvin Swai; Taskeen Adam; Fika Mwakabungu; Winston Massam; Jonathan H. Paskali; Nidhi Singal
Pages: 125–139
DOI: https://doi.org/10.56059/11599/6064.010
Title: The Vocational Training Development Institute: An Investigation into the Utilisation of Digital Learning Strategies in TVET to Facilitate Accessibility, Flexibility, Engagement and Skills Development
Author(s): Jacqueline Solomon-Wallder; Mark McKnight; Roxanne Hinds
Pages: 141–164
DOI: https://doi.org/10.56059/11599/6064.011
Title: Implementing Blended Delivery in TEVET: Insights from a Preparatory (PBDT) Course in Zambia
Author(s): Twaambo Chiinza; Alice P. Shemi
Pages: 165–178
DOI: https://doi.org/10.56059/11599/6064.012
Title: Engaging NEET Youths through Vocational Education: A Case of the Open School of Bangladesh Open University
Author(s): Md. Mizanoor Rahman; Santosh Panda
Pages: 179–187
DOI: https://doi.org/10.56059/11599/6064.013
Title: Open Schooling in Southern Africa: Progress, Challenges and Opportunities
Author(s): Ephraim Mhlanga
Pages: 188–197
DOI: https://doi.org/10.56059/11599/6064.014
Title: Building Resilient Graduates: Moi University’s Model for Enhancing Employability and Lifelong Learning in a Dynamic Labour Market
Author(s): Lumala Masibo; Jako Olivier
Pages: 198–208
DOI: https://doi.org/10.56059/11599/6064.015
Title: Stakeholders’ Perceptions of the Adoption of E-apprenticeship Programmes in Technical and Vocational Education and Training in Nigeria
Author(s): Michael Shittu; Robert Okinda; Anthony C. Achuenu; Alabi M. Olowo
Pages: 209–223
DOI: https://doi.org/10.56059/11599/6064.016
Title: Towards a Commonwealth Credit Transfer Framework for Micro-Credentials: Advancing Education for a More Resilient Workforce Author(s): Jako Olivier; Jane-Frances Agbu; Schontal Moore; Sanjaya Mishra; Betty Ogange; Evode Mukama; Robert Okinda Pages: 225–236
DOI: https://doi.org/10.56059/11599/6064.017
Title: Collaborative Approaches in Open Education: Leveraging OER Creation, Adaptation and use for Sustainable Development Author(s): Shepherd Mlambo; Nokulunga Sithabile Ndlovu; Thabo Gina
Pages: 237–248
DOI: https://doi.org/10.56059/11599/6064.018
Title: Empowering Voices in Open Education: Reflections and Future Directions from the Global OER Graduate Network’s 10th Anniversary Author(s): Robert Farrow; Carina Bossu; Beck Pitt
Pages: 249–257
DOI: https://doi.org/10.56059/11599/6064.019
Title: Collaborative Peer Learning for International Course Development in the Empowering Women and Girls (EWG) Project: Challenges and Lessons Learned Through this Case Study
Author(s): Philip Uys
Pages: 258–268
DOI: https://doi.org/10.56059/11599/6064.020
Title: Building Sustainable Communities of Practice Through Mentor-Supported OER Development: An Iterative Approach in Pacific STEM Education
Author(s): Amanda Grey; Betty Ogange; Rajni Chand; Ashish Agrawal
Pages: 269–282
DOI: https://doi.org/10.56059/11599/6064.02
The CINAMR (Clinical Information Network-Antimicrobial Resistance) Project: A pilot microbial surveillance using hospitals linked to regional laboratories in Kenya: Study Protocol [version 1; peer review: 2 approved]
No full textBackground: Antimicrobial resistance (AMR) is a global threat and is thought to be acute in low-and middle-income country (LMIC) settings, including in Kenya, but there is limited unbiased surveillance that can provide reliable estimates of its burden. Current efforts to build capacity for microbiology testing in Kenya are unlikely to result in systematic routine microbiological testing in the near term. Therefore, there is little prospect for microbiological support to inform clinical diagnoses nor for indicating the burden of AMR and for guiding empirical choice of antibiotics. Objective: We aim to build on an existing collaboration, the Clinical Information Network (CIN), to pilot microbiological surveillance using a ‘hub-and-spoke’ model where selected hospitals are linked to high quality microbiology research laboratories. Methods: Children admitted to paediatric wards of 12 participating hospitals will have a sample taken for blood culture at admission before antibiotics are started. Indication for blood culture will be a clinician’s prescription of antibiotics. Samples will then be transported daily to the research laboratories for culture and antibiotic susceptibility testing and results relayed back to clinicians for patient management. The surveillance will take place for 6 months in each hospital. Separately, we shall conduct semi-structured interviews with frontline health workers to explore the feasibility and utility of this approach. We will also seek to understand how the availability of microbiology results might inform antibiotic stewardship, and as an interim step to the development of better national or regional laboratories linked to routine surveillance. Conclusions: If feasible, this approach is less costly and periodic ‘hub-and-spoke’ surveillance can be used to track AMR trends and to broadly guide empirical antibiotic guidance meaning it is likely to be more sustainable than establishing functional microbiological facilities in each hospital in a LMIC setting
Global burden of bacterial antimicrobial resistance in 2019 : a systematic analysis
No full textAbstract: Background Antimicrobial resistance (AMR) poses a major threat to human health around the world. Previous publications have estimated the effect of AMR on incidence, deaths, hospital length of stay, and health-care costs for specific pathogen-drug combinations in select locations. To our knowledge, this study presents the most comprehensive estimates of AMR burden to date. Methods We estimated deaths and disability-adjusted life-years (DALYs) attributable to and associated with bacterial AMR for 23 pathogens and 88 pathogen-drug combinations in 204 countries and territories in 2019. We obtained data from systematic literature reviews, hospital systems, surveillance systems, and other sources, covering 471 million individual records or isolates and 7585 study-location-years. We used predictive statistical modelling to produce estimates of AMR burden for all locations, including for locations with no data. Our approach can be divided into five broad components: number of deaths where infection played a role, proportion of infectious deaths attributable to a given infectious syndrome, proportion of infectious syndrome deaths attributable to a given pathogen, the percentage of a given pathogen resistant to an antibiotic of interest, and the excess risk of death or duration of an infection associated with this resistance. Using these components, we estimated disease burden based on two counterfactuals: deaths attributable to AMR (based on an alternative scenario in which all drug-resistant infections were replaced by drug-susceptible infections), and deaths associated with AMR (based on an alternative scenario in which all drug-resistant infections were replaced by no infection). We generated 95% uncertainty intervals (UIs) for final estimates as the 25th and 975th ordered values across 1000 posterior draws, and models were cross-validated for out-of-sample predictive validity. We present final estimates aggregated to the global and regional level. Findings On the basis of our predictive statistical models, there were an estimated 4.95 million (3.62-6.57) deaths associated with bacterial AMR in 2019, including 1.27 million (95% UI 0.911-1.71) deaths attributable to bacterial AMR. At the regional level, we estimated the all-age death rate attributable to resistance to be highest in western subSaharan Africa, at 27.3 deaths per 100 000 (20.9-35.3), and lowest in Australasia, at 6.5 deaths (4.3-9.4) per 100 000. Lower respiratory infections accounted for more than 1.5 million deaths associated with resistance in 2019, making it the most burdensome infectious syndrome. The six leading pathogens for deaths associated with resistance (Escherichia coli, followed by Staphylococcus aureus, Klebsiella pneumoniae, Streptococcus pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa) were responsible for 929 000 (660 000-1 270 000) deaths attributable to AMR and 3.57 million (2.62-4.78) deaths associated with AMR in 2019. One pathogen-drug combination, meticillin-resistant S aureus, caused more than 100 000 deaths attributable to AMR in 2019, while six more each caused 50 000-100 000 deaths: multidrug-resistant excluding extensively drug-resistant tuberculosis, third-generation cephalosporin-resistant E coli, carbapenem-resistant A baumannii, fluoroquinolone-resistant E coli, carbapenem-resistant K pneumoniae, and third-generation cephalosporin-resistant K pneumoniae. Interpretation To our knowledge, this study provides the first comprehensive assessment of the global burden of AMR, as well as an evaluation of the availability of data. AMR is a leading cause of death around the world, with the highest burdens in low-resource settings. Understanding the burden of AMR and the leading pathogen-drug combinations contributing to it is crucial to making informed and location-specific policy decisions, particularly about infection prevention and control programmes, access to essential antibiotics, and research and development of new vaccines and antibiotics. There are serious data gaps in many low-income settings, emphasising the need to expand microbiology laboratory capacity and data collection systems to improve our understanding of this important human health threat. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd
Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis
No full textBACKGROUND: Antimicrobial resistance (AMR) poses a major threat to human health around the world. Previous publications have estimated the effect of AMR on incidence, deaths, hospital length of stay, and health-care costs for specific pathogen-drug combinations in select locations. To our knowledge, this study presents the most comprehensive estimates of AMR burden to date. METHODS: We estimated deaths and disability-adjusted life-years (DALYs) attributable to and associated with bacterial AMR for 23 pathogens and 88 pathogen-drug combinations in 204 countries and territories in 2019. We obtained data from systematic literature reviews, hospital systems, surveillance systems, and other sources, covering 471 million individual records or isolates and 7585 study-location-years. We used predictive statistical modelling to produce estimates of AMR burden for all locations, including for locations with no data. Our approach can be divided into five broad components: number of deaths where infection played a role, proportion of infectious deaths attributable to a given infectious syndrome, proportion of infectious syndrome deaths attributable to a given pathogen, the percentage of a given pathogen resistant to an antibiotic of interest, and the excess risk of death or duration of an infection associated with this resistance. Using these components, we estimated disease burden based on two counterfactuals: deaths attributable to AMR (based on an alternative scenario in which all drug-resistant infections were replaced by drug-susceptible infections), and deaths associated with AMR (based on an alternative scenario in which all drug-resistant infections were replaced by no infection). We generated 95% uncertainty intervals (UIs) for final estimates as the 25th and 975th ordered values across 1000 posterior draws, and models were cross-validated for out-of-sample predictive validity. We present final estimates aggregated to the global and regional level. FINDINGS: On the basis of our predictive statistical models, there were an estimated 4·95 million (3·62-6·57) deaths associated with bacterial AMR in 2019, including 1·27 million (95% UI 0·911-1·71) deaths attributable to bacterial AMR. At the regional level, we estimated the all-age death rate attributable to resistance to be highest in western sub-Saharan Africa, at 27·3 deaths per 100 000 (20·9-35·3), and lowest in Australasia, at 6·5 deaths (4·3-9·4) per 100 000. Lower respiratory infections accounted for more than 1·5 million deaths associated with resistance in 2019, making it the most burdensome infectious syndrome. The six leading pathogens for deaths associated with resistance (Escherichia coli, followed by Staphylococcus aureus, Klebsiella pneumoniae, Streptococcus pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa) were responsible for 929 000 (660 000-1 270 000) deaths attributable to AMR and 3·57 million (2·62-4·78) deaths associated with AMR in 2019. One pathogen-drug combination, meticillin-resistant S aureus, caused more than 100 000 deaths attributable to AMR in 2019, while six more each caused 50 000-100 000 deaths: multidrug-resistant excluding extensively drug-resistant tuberculosis, third-generation cephalosporin-resistant E coli, carbapenem-resistant A baumannii, fluoroquinolone-resistant E coli, carbapenem-resistant K pneumoniae, and third-generation cephalosporin-resistant K pneumoniae. INTERPRETATION: To our knowledge, this study provides the first comprehensive assessment of the global burden of AMR, as well as an evaluation of the availability of data. AMR is a leading cause of death around the world, with the highest burdens in low-resource settings. Understanding the burden of AMR and the leading pathogen-drug combinations contributing to it is crucial to making informed and location-specific policy decisions, particularly about infection prevention and control programmes, access to essential antibiotics, and research and development of new vaccines and antibiotics. There are serious data gaps in many low-income settings, emphasising the need to expand microbiology laboratory capacity and data collection systems to improve our understanding of this important human health threat. FUNDING: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund.sponsorship: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund. (Bill & Melinda Gates Foundation, Wellcome Trust, Department of Health and Social Care, BBSRC|BB/R012776/1, MRC|MR/S013768/2, MRC|MC_UU_00031/7, MRC|MR/S013768/1, MRC|MR/P007295/1, MRC|MR/N028317/1, Biotechnology and Biological Sciences Research Council|BB/R012776/1, Medical Research Council|MR/P007295/1, Medical Research Council|MR/N028317/1, National Institute of General Medical Sciences|K23GM141463)status: Publishe
