Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Alexandra Bignell is active.

Publication


Featured researches published by Alexandra Bignell.


Genome Research | 2012

GENCODE: The reference human genome annotation for The ENCODE Project

Jennifer Harrow; Adam Frankish; José Manuel Rodríguez González; Electra Tapanari; Mark Diekhans; Felix Kokocinski; Bronwen Aken; Daniel Barrell; Amonida Zadissa; Stephen M. J. Searle; I. Barnes; Alexandra Bignell; Veronika Boychenko; Toby Hunt; Mike Kay; Gaurab Mukherjee; Jeena Rajan; Gloria Despacio-Reyes; Gary Saunders; Charles A. Steward; Rachel A. Harte; Mike Lin; Cédric Howald; Andrea Tanzer; Thomas Derrien; Jacqueline Chrast; Nathalie Walters; Suganthi Balasubramanian; Baikang Pei; Michael L. Tress

The GENCODE Consortium aims to identify all gene features in the human genome using a combination of computational analysis, manual annotation, and experimental validation. Since the first public release of this annotation data set, few new protein-coding loci have been added, yet the number of alternative splicing transcripts annotated has steadily increased. The GENCODE 7 release contains 20,687 protein-coding and 9640 long noncoding RNA loci and has 33,977 coding transcripts not represented in UCSC genes and RefSeq. It also has the most comprehensive annotation of long noncoding RNA (lncRNA) loci publicly available with the predominant transcript form consisting of two exons. We have examined the completeness of the transcript annotation and found that 35% of transcriptional start sites are supported by CAGE clusters and 62% of protein-coding genes have annotated polyA sites. Over one-third of GENCODE protein-coding genes are supported by peptide hits derived from mass spectrometry spectra submitted to Peptide Atlas. New models derived from the Illumina Body Map 2.0 RNA-seq data identify 3689 new loci not currently in GENCODE, of which 3127 consist of two exon models indicating that they are possibly unannotated long noncoding loci. GENCODE 7 is publicly available from gencodegenes.org and via the Ensembl and UCSC Genome Browsers.


Science | 2012

A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

Daniel G. MacArthur; Suganthi Balasubramanian; Adam Frankish; Ni Huang; James A. Morris; Klaudia Walter; Luke Jostins; Lukas Habegger; Joseph K. Pickrell; Stephen B. Montgomery; Cornelis A. Albers; Zhengdong D. Zhang; Donald F. Conrad; Gerton Lunter; Hancheng Zheng; Qasim Ayub; Mark A. DePristo; Eric Banks; Min Hu; Robert E. Handsaker; Jeffrey A. Rosenfeld; Menachem Fromer; Mike Jin; Xinmeng Jasmine Mu; Ekta Khurana; Kai Ye; Mike Kay; Gary Saunders; Marie-Marthe Suner; Toby Hunt

Defective Gene Detective Identifying genes that give rise to diseases is one of the major goals of sequencing human genomes. However, putative loss-of-function genes, which are often some of the first identified targets of genome and exome sequencing, have often turned out to be sequencing errors rather than true genetic variants. In order to identify the true scope of loss-of-function genes within the human genome, MacArthur et al. (p. 823; see the Perspective by Quintana-Murci) extensively validated the genomes from the 1000 Genomes Project, as well as an additional European individual, and found that the average person has about 100 true loss-of-function alleles of which approximately 20 have two copies within an individual. Because many known disease-causing genes were identified in “normal” individuals, the process of clinical sequencing needs to reassess how to identify likely causative alleles. Validation of predicted nonfunctional alleles in the human genome affects the medical interpretation of genomic analyses. Genome-sequencing studies indicate that all humans carry many genetic variants predicted to cause loss of function (LoF) of protein-coding genes, suggesting unexpected redundancy in the human genome. Here we apply stringent filters to 2951 putative LoF variants obtained from 185 human genomes to determine their true prevalence and properties. We estimate that human genomes typically contain ~100 genuine LoF variants with ~20 genes completely inactivated. We identify rare and likely deleterious LoF alleles, including 26 known and 21 predicted severe disease–causing variants, as well as common LoF variants in nonessential genes. We describe functional and evolutionary differences between LoF-tolerant and recessive disease genes and a method for using these differences to prioritize candidate genes found in clinical sequencing studies.


Genome Research | 2008

Newly introduced genomic prophage islands are critical determinants of in vivo competitiveness in the Liverpool Epidemic Strain of Pseudomonas aeruginosa

Craig Winstanley; Morgan G. I. Langille; Joanne L. Fothergill; Irena Kukavica-Ibrulj; Catherine Paradis-Bleau; François Sanschagrin; Nicholas R. Thomson; Geoff Winsor; Michael A. Quail; Nicola Lennard; Alexandra Bignell; Louise Clarke; Kathy Seeger; David L. Saunders; David J. Harris; Julian Parkhill; Robert E. W. Hancock; Fiona S. L. Brinkman; Roger C. Levesque

Pseudomonas aeruginosa isolates have a highly conserved core genome representing up to 90% of the total genomic sequence with additional variable accessory genes, many of which are found in genomic islands or islets. The identification of the Liverpool Epidemic Strain (LES) in a childrens cystic fibrosis (CF) unit in 1996 and its subsequent observation in several centers in the United Kingdom challenged the previous widespread assumption that CF patients acquire only unique strains of P. aeruginosa from the environment. To learn about the forces that shaped the development of this important epidemic strain, the genome of the earliest archived LES isolate, LESB58, was sequenced. The sequence revealed the presence of many large genomic islands, including five prophage clusters, one defective (pyocin) prophage cluster, and five non-phage islands. To determine the role of these clusters, an unbiased signature tagged mutagenesis study was performed, followed by selection in the chronic rat lung infection model. Forty-seven mutants were identified by sequencing, including mutants in several genes known to be involved in Pseudomonas infection. Furthermore, genes from four prophage clusters and one genomic island were identified and in direct competition studies with the parent isolate; four were demonstrated to strongly impact on competitiveness in the chronic rat lung infection model. This strongly indicates that enhanced in vivo competitiveness is a major driver for maintenance and diversifying selection of these genomic prophage genes.


BMC Genomics | 2009

Comparative genomics of the emerging human pathogen Photorhabdus asymbiotica with the insect pathogen Photorhabdus luminescens.

Paul Wilkinson; Nicholas R. Waterfield; Lisa Crossman; Craig Corton; Maria Sanchez-Contreras; Isabella Vlisidou; Andrew Barron; Alexandra Bignell; Louise Clark; Douglas Ormond; Matthew Mayho; Nathalie Bason; Frances Smith; Mark Simmonds; Carol Churcher; David Harris; Nicholas R Thompson; Michael A. Quail; Julian Parkhill; Richard H. ffrench-Constant

BackgroundThe Gram-negative bacterium Photorhabdus asymbiotica (Pa) has been recovered from human infections in both North America and Australia. Recently, Pa has been shown to have a nematode vector that can also infect insects, like its sister species the insect pathogen P. luminescens (Pl). To understand the relationship between pathogenicity to insects and humans in Photorhabdus we have sequenced the complete genome of Pa strain ATCC43949 from North America. This strain (formerly referred to as Xenorhabdus luminescens strain 2) was isolated in 1977 from the blood of an 80 year old female patient with endocarditis, in Maryland, USA. Here we compare the complete genome of Pa ATCC43949 with that of the previously sequenced insect pathogen P. luminescens strain TT01 which was isolated from its entomopathogenic nematode vector collected from soil in Trinidad and Tobago.ResultsWe found that the human pathogen Pa had a smaller genome (5,064,808 bp) than that of the insect pathogen Pl (5,688,987 bp) but that each pathogen carries approximately one megabase of DNA that is unique to each strain. The reduced size of the Pa genome is associated with a smaller diversity in insecticidal genes such as those encoding the Toxin complexes (Tcs), Makes caterpillars floppy (Mcf) toxins and the Photorhabdus Virulence Cassettes (PVCs). The Pa genome, however, also shows the addition of a plasmid related to pMT1 from Yersinia pestis and several novel pathogenicity islands including a novel Type Three Secretion System (TTSS) encoding island. Together these data suggest that Pa may show virulence against man via the acquisition of the pMT1-like plasmid and specific effectors, such as SopB, that promote its persistence inside human macrophages. Interestingly the loss of insecticidal genes in Pa is not reflected by a loss of pathogenicity towards insects.ConclusionOur results suggest that North American isolates of Pa have acquired virulence against man via the acquisition of a plasmid and specific virulence factors with similarity to those shown to play roles in pathogenicity against humans in other bacteria.


BMC Genomics | 2009

Evidence for niche adaptation in the genome of the bovine pathogen Streptococcus uberis

Philip N. Ward; Matthew T. G. Holden; James A. Leigh; Nicola Lennard; Alexandra Bignell; Andy Barron; Louise Clark; Michael A. Quail; John Woodward; Bart Barrell; Sharon A. Egan; Terence R. Field; Duncan J. Maskell; Michael A. Kehoe; Christopher G. Dowson; N. Chanter; Adrian M. Whatmore; Stephen D. Bentley; Julian Parkhill

BackgroundStreptococcus uberis, a Gram positive bacterial pathogen responsible for a significant proportion of bovine mastitis in commercial dairy herds, colonises multiple body sites of the cow including the gut, genital tract and mammary gland. Comparative analysis of the complete genome sequence of S. uberis strain 0140J was undertaken to help elucidate the biology of this effective bovine pathogen.ResultsThe genome revealed 1,825 predicted coding sequences (CDSs) of which 62 were identified as pseudogenes or gene fragments. Comparisons with related pyogenic streptococci identified a conserved core (40%) of orthologous CDSs. Intriguingly, S. uberis 0140J displayed a lower number of mobile genetic elements when compared with other pyogenic streptococci, however bacteriophage-derived islands and a putative genomic island were identified. Comparative genomics analysis revealed most similarity to the genomes of Streptococcus agalactiae and Streptococcus equi subsp. zooepidemicus. In contrast, streptococcal orthologs were not identified for 11% of the CDSs, indicating either unique retention of ancestral sequence, or acquisition of sequence from alternative sources. Functions including transport, catabolism, regulation and CDSs encoding cell envelope proteins were over-represented in this unique gene set; a limited array of putative virulence CDSs were identified.ConclusionS. uberis utilises nutritional flexibility derived from a diversity of metabolic options to successfully occupy a discrete ecological niche. The features observed in S. uberis are strongly suggestive of an opportunistic pathogen adapted to challenging and changing environmental parameters.


Microbiology | 2010

Twenty-eight divergent polysaccharide loci specifying within- and amongst-strain capsule diversity in three strains of Bacteroides fragilis

Sheila Patrick; Garry W. Blakely; Simon Houston; Jane Moore; Valerie R. Abratt; Marcelo Bertalan; Ana Cerdeño-Tárraga; Michael A. Quail; Nicola Corton; Craig Corton; Alexandra Bignell; Andrew Barron; Louise Clark; Stephen D. Bentley; Julian Parkhill

Comparison of the complete genome sequence of Bacteroides fragilis 638R, originally isolated in the USA, was made with two previously sequenced strains isolated in the UK (NCTC 9343) and Japan (YCH46). The presence of 10 loci containing genes associated with polysaccharide (PS) biosynthesis, each including a putative Wzx flippase and Wzy polymerase, was confirmed in all three strains, despite a lack of cross-reactivity between NCTC 9343 and 638R surface PS-specific antibodies by immunolabelling and microscopy. Genomic comparisons revealed an exceptional level of PS biosynthesis locus diversity. Of the 10 divergent PS-associated loci apparent in each strain, none is similar between NCTC 9343 and 638R. YCH46 shares one locus with NCTC 9343, confirmed by mAb labelling, and a second different locus with 638R, making a total of 28 divergent PS biosynthesis loci amongst the three strains. The lack of expression of the phase-variable large capsule (LC) in strain 638R, observed in NCTC 9343, is likely to be due to a point mutation that generates a stop codon within a putative initiating glycosyltransferase, necessary for the expression of the LC in NCTC 9343. Other major sequence differences were observed to arise from different numbers and variety of inserted extra-chromosomal elements, in particular prophages. Extensive horizontal gene transfer has occurred within these strains, despite the presence of a significant number of divergent DNA restriction and modification systems that act to prevent acquisition of foreign DNA. The level of amongst-strain diversity in PS biosynthesis loci is unprecedented.


Genome Biology | 2010

The GENCODE human gene set

Steve Searle; Adam Frankish; Alexandra Bignell; Bronwen Aken; Thomas Derrien; Mark Diekhans; Rachel A. Harte; C. Howald; Felix Kokocinski; Michael F. Lin; Michael L. Tress; M. Van Baren; I. Barnes; Toby Hunt; D. Carvalho-Silva; C. Davidson; Sarah Donaldson; James Gilbert; Mike Kay; David Lloyd; Jane Loveland; Jonathan M. Mudge; Catherine Snow; J. Vamathevan; Laurens Wilming; Michael R. Brent; Mark Gerstein; Roderic Guigó; Manolis Kellis; Alexandre Reymond

This article is part of the supplement: Beyond the Genome: The true gene count, human evolution and disease genomics, Boston, MA, USA. 11-13 October 2010.


BMC Genomics | 2009

Co-evolution of genomes and plasmids within Chlamydia trachomatis and the emergence in Sweden of a new variant strain

Helena M. B. Seth-Smith; Simon R. Harris; Kenneth Persson; Pete Marsh; Andrew R. Barron; Alexandra Bignell; Carina Bjartling; Louise Clark; Lesley T. Cutcliffe; Paul R. Lambden; Nicola Lennard; Sarah J. Lockey; Michael A. Quail; Omar Salim; Rachel J. Skilton; Yibing Wang; Martin Holland; Julian Parkhill; Nicholas R. Thomson; Ian N. Clarke


Nature Precedings | 2009

GENCODE: Creating a Validated Manually Annotated Geneset for the Whole Human Genome

Alexandra Bignell; Adam Frankish; Bronwen Aken; Mark Diekhans; Felix Kokocinski; Mike Lin; Michael L. Tress; J. Van Baren; I. Barnes; Toby Hunt; D. Carvalho-Silva; C. Davidson; S. Donaldson; J. Gilbert; E. Hart; Mike Kay; R. Kinsella; D. Lloyd; J. Loveland; J. E. Mudge; C. Snow; J. Vamathevan; L. Wilming; Michael R. Brent; Mark Gerstein; Roderic Guigó; Rachel A. Harte; Manolis Kellis; Stephen M. J. Searle; Jennifer Harrow


Archive | 2008

Comparative genome analysis of Salmonella Enteritidis PT4 and Salmonella Gallinarum 287/91 provides

Nicole Renick Thomson; Daniel J. Clayton; D. Windhorst; Georgios S. Vernikos; Susan Davidson; Carol Churcher; Michael A. Quail; Mark P. Stevens; Michael Jones; Michael Watson; Andrew Barron; Abigail N. Layton; Derek Pickard; Robert A. Kingsley; Alexandra Bignell; Luke Clark; Barbara Harris; Douglas Ormond; Zahra Abdellah; Karen Brooks; Inna Cherevach; Tracey Chillingworth; John Woodward; Halina Norberczak; Angela Lord; Claire Arrowsmith; Kay Jagels; Sharon Moule; Karen Mungall; Mandy Sanders

Collaboration


Dive into the Alexandra Bignell's collaboration.

Top Co-Authors

Avatar

Michael A. Quail

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Julian Parkhill

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Adam Frankish

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Louise Clark

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Mike Kay

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Toby Hunt

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Andrew Barron

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Bronwen Aken

European Bioinformatics Institute

View shared research outputs
Top Co-Authors

Avatar

Felix Kokocinski

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

I. Barnes

Wellcome Trust Sanger Institute

View shared research outputs
Researchain Logo
Decentralizing Knowledge