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Dive into the research topics where Adam Faulconbridge is active.

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Featured researches published by Adam Faulconbridge.


Nature | 2017

Common genetic variation drives molecular heterogeneity in human iPSCs

Helena Kilpinen; Angela Goncalves; Andreas Leha; Vackar Afzal; Kaur Alasoo; Sofie Ashford; Sendu Bala; Dalila Bensaddek; Francesco Paolo Casale; Oliver J. Culley; Petr Danecek; Adam Faulconbridge; Peter W. Harrison; Annie Kathuria; Davis J. McCarthy; Shane McCarthy; Ruta Meleckyte; Yasin Memari; Nathalie Moens; Filipa Soares; Alice L. Mann; Ian Streeter; Chukwuma A. Agu; Alex Alderton; Rachel Nelson; Sarah Harper; Minal Patel; Alistair White; Sharad R Patel; Laura Clarke

Technology utilizing human induced pluripotent stem cells (iPS cells) has enormous potential to provide improved cellular models of human disease. However, variable genetic and phenotypic characterization of many existing iPS cell lines limits their potential use for research and therapy. Here we describe the systematic generation, genotyping and phenotyping of 711 iPS cell lines derived from 301 healthy individuals by the Human Induced Pluripotent Stem Cells Initiative. Our study outlines the major sources of genetic and phenotypic variation in iPS cells and establishes their suitability as models of complex human traits and cancer. Through genome-wide profiling we find that 5–46% of the variation in different iPS cell phenotypes, including differentiation capacity and cellular morphology, arises from differences between individuals. Additionally, we assess the phenotypic consequences of genomic copy-number alterations that are repeatedly observed in iPS cells. In addition, we present a comprehensive map of common regulatory variants affecting the transcriptome of human pluripotent cells.


Nucleic Acids Research | 2012

The BioSample Database (BioSD) at the European Bioinformatics Institute

Mikhail Gostev; Adam Faulconbridge; Marco Brandizi; Julio Fernandez-Banet; Ugis Sarkans; Alvis Brazma; Helen Parkinson

The BioSample Database (http://www.ebi.ac.uk/biosamples) is a new database at EBI that stores information about biological samples used in molecular experiments, such as sequencing, gene expression or proteomics. The goals of the BioSample Database include: (i) recording and linking of sample information consistently within EBI databases such as ENA, ArrayExpress and PRIDE; (ii) minimizing data entry efforts for EBI database submitters by enabling submitting sample descriptions once and referencing them later in data submissions to assay databases and (iii) supporting cross database queries by sample characteristics. Each sample in the database is assigned an accession number. The database includes a growing set of reference samples, such as cell lines, which are repeatedly used in experiments and can be easily referenced from any database by their accession numbers. Accession numbers for the reference samples will be exchanged with a similar database at NCBI. The samples in the database can be queried by their attributes, such as sample types, disease names or sample providers. A simple tab-delimited format facilitates submissions of sample information to the database, initially via email to [email protected]


Nucleic Acids Research | 2014

Updates to BioSamples database at European Bioinformatics Institute

Adam Faulconbridge; Tony Burdett; Marco Brandizi; Mikhail Gostev; Rui Pedro Pereira; Drashtti Vasant; Ugis Sarkans; Alvis Brazma; Helen Parkinson

The BioSamples database at the EBI (http://www.ebi.ac.uk/biosamples) provides an integration point for BioSamples information between technology specific databases at the EBI, projects such as ENCODE and reference collections such as cell lines. The database delivers a unified query interface and API to query sample information across EBI’s databases and provides links back to assay databases. Sample groups are used to manage related samples, e.g. those from an experimental submission, or a single reference collection. Infrastructural improvements include a new user interface with ontological and key word queries, a new query API, a new data submission API, complete RDF data download and a supporting SPARQL endpoint, accessioning at the point of submission to the European Nucleotide Archive and European Genotype Phenotype Archives and improved query response times.


Nucleic Acids Research | 2017

The human-induced pluripotent stem cell initiative-data resources for cellular genetics.

Ian Streeter; Peter W. Harrison; Adam Faulconbridge; Paul Flicek; Helen Parkinson; Laura Clarke

The Human Induced Pluripotent Stem Cell Initiative (HipSci) isf establishing a large catalogue of human iPSC lines, arguably the most well characterized collection to date. The HipSci portal enables researchers to choose the right cell line for their experiment, and makes HipScis rich catalogue of assay data easy to discover and reuse. Each cell line has genomic, transcriptomic, proteomic and cellular phenotyping data. Data are deposited in the appropriate EMBL-EBI archives, including the European Nucleotide Archive (ENA), European Genome-phenome Archive (EGA), ArrayExpress and PRoteomics IDEntifications (PRIDE) databases. The project will make 500 cell lines from healthy individuals, and from 150 patients with rare genetic diseases; these will be available through the European Collection of Authenticated Cell Cultures (ECACC). As of August 2016, 238 cell lines are available for purchase. Project data is presented through the HipSci data portal (http://www.hipsci.org/lines) and is downloadable from the associated FTP site (ftp://ftp.hipsci.ebi.ac.uk/vol1/ftp). The data portal presents a summary matrix of the HipSci cell lines, showing available data types. Each line has its own page containing descriptive metadata, quality information, and links to archived assay data. Analysis results are also available in a Track Hub, allowing visualization in the context of public genomic annotations (http://www.hipsci.org/data/trackhubs).


Stem cell reports | 2018

A Standard Nomenclature for Referencing and Authentication of Pluripotent Stem Cells

Andreas Kurtz; Stefanie Seltmann; Amos Marc Bairoch; Marie-Sophie Bittner; Kevin Bruce; Amanda Capes-Davis; Laura Clarke; Jeremy Micah Crook; Laurence Daheron; Johannes Dewender; Adam Faulconbridge; Wataru Fujibuchi; Alexander Gutteridge; Derek J. Hei; Yong-Ou Kim; Jung-Hyun Kim; Anja Kolb Kokocinski; Fritz Lekschas; Geoffrey Lomax; Jeanne F. Loring; Tenneille E. Ludwig; Nancy Mah; Tohru Matsui; Robert Müller; Helen Parkinson; Michael Sheldon; Kelly P. Smith; Harald Stachelscheid; Glyn Stacey; Ian Streeter

Unambiguous cell line authentication is essential to avoid loss of association between data and cells. The risk for loss of references increases with the rapidity that new human pluripotent stem cell (hPSC) lines are generated, exchanged, and implemented. Ideally, a single name should be used as a generally applied reference for each cell line to access and unify cell-related information across publications, cell banks, cell registries, and databases and to ensure scientific reproducibility. We discuss the needs and requirements for such a unique identifier and implement a standard nomenclature for hPSCs, which can be automatically generated and registered by the human pluripotent stem cell registry (hPSCreg). To avoid ambiguities in PSC-line referencing, we strongly urge publishers to demand registration and use of the standard name when publishing research based on hPSC lines.


Nature | 2017

Corrigendum: Common genetic variation drives molecular heterogeneity in human iPSCs

Helena Kilpinen; Angela Goncalves; Andreas Leha; Vackar Afzal; Kaur Alasoo; Sofie Ashford; Sendu Bala; Dalila Bensaddek; Francesco Paolo Casale; Oliver J. Culley; Petr Danecek; Adam Faulconbridge; Peter W. Harrison; Annie Kathuria; Davis J. McCarthy; Shane McCarthy; Ruta Meleckyte; Yasin Memari; Nathalie Moens; Filipa Soares; Alice L. Mann; Ian Streeter; Chukwuma A. Agu; Alex Alderton; Rachel Nelson; Sarah Harper; Minal Patel; Alistair White; Sharad R Patel; Laura Clarke

This corrects the article DOI: 10.1038/nature22403.


Stem Cell Research | 2017

Rapid establishment of the European Bank for induced Pluripotent Stem Cells (EBiSC) - the Hot Start experience

Paul A. De Sousa; Rachel Steeg; Elisabeth Wachter; Kevin Bruce; Jason King; Marieke A. Hoeve; Shalinee Khadun; George McConnachie; Julie Holder; Andreas Kurtz; Stefanie Seltmann; Johannes Dewender; Sascha Reimann; Glyn Stacey; Orla O'Shea; Charlotte Chapman; Lyn Healy; Heiko Zimmermann; Bryan Bolton; Trisha Rawat; Isobel Atkin; Anna Veiga; Bernd Kuebler; Blanca Miranda Serano; Tomo Saric; Jürgen Hescheler; Oliver Brüstle; Michael Peitz; Cornelia Thiele; Niels Geijsen


Nature | 2017

Common genetic variation drives molecular heterogeneity in human iPSCs (vol 546, pg 370, 2017)

Helena Kilpinen; Angela Goncalves; Andreas Leha; Afzal; Kaur Alasoo; Sofie Ashford; Sendu Bala; Dalila Bensaddek; Francesco Paolo Casale; Oliver J. Culley; Petr Danecek; Adam Faulconbridge; Peter W. Harrison; Annie Kathuria; Davis J. McCarthy; Shane McCarthy; Ruta Meleckyte; Yasin Memari; Nathalie Moens; Filipa Soares; Alice L. Mann; Ian Streeter; Chukwuma A. Agu; Alex Alderton; Rachel Nelson; Sarah Harper; Minal Patel; Alistair White; Patel; Laura Clarke


Archive | 2015

Definition of personalised data types within BioMedBridges

Imre Västrik; Bart Charbon; Helen Parkinson; Nathalie Conte; Morris A. Swertz; Julie McMurry; Roxana Merino Martinez; Adam Faulconbridge


Archive | 2015

Mapping between biobank data elements

Ugis Sarkans; Helen Parkinson; Roxana Merino Martinez; Adam Faulconbridge

Collaboration


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Helen Parkinson

European Bioinformatics Institute

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Ian Streeter

European Bioinformatics Institute

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Laura Clarke

European Bioinformatics Institute

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Peter W. Harrison

European Bioinformatics Institute

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Helena Kilpinen

Swiss Institute of Bioinformatics

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Alex Alderton

Wellcome Trust Sanger Institute

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Alice L. Mann

Wellcome Trust Sanger Institute

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Alistair White

Wellcome Trust Sanger Institute

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Angela Goncalves

European Bioinformatics Institute

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