Claude Chelala
Queen Mary University of London
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Publication
Featured researches published by Claude Chelala.
Nature Genetics | 2006
Valérie Senée; Claude Chelala; Sabine Duchatelet; Daorong Feng; Hervé Blanc; Jack Cossec; Céline Charon; Marc Nicolino; Pascal Boileau; Douglas R. Cavener; Pierre Bougnères; Doris Taha; Cécile Julier
We recently described a new neonatal diabetes syndrome associated with congenital hypothyroidism, congenital glaucoma, hepatic fibrosis and polycystic kidneys. Here, we show that this syndrome results from mutations in GLIS3, encoding GLI similar 3, a recently identified transcription factor. In the original family, we identified a frameshift mutation predicted to result in a truncated protein. In two other families with an incomplete syndrome, we found that affected individuals harbor deletions affecting the 11 or 12 5′-most exons of the gene. The absence of a major transcript in the pancreas and thyroid (deletions from both families) and an eye-specific transcript (deletion from one family), together with residual expression of some GLIS3 transcripts, seems to explain the incomplete clinical manifestations in these individuals. GLIS3 is expressed in the pancreas from early developmental stages, with greater expression in β cells than in other pancreatic tissues. These results demonstrate a major role for GLIS3 in the development of pancreatic β cells and the thyroid, eye, liver and kidney.
Cell Death & Differentiation | 2008
Ming Yuan; V Tomlinson; Romain Lara; Deborah L Holliday; Claude Chelala; Tomohiko Harada; Rathi Gangeswaran; C Manson-Bishop; Paul J. Smith; S A Danovi; Olivier E. Pardo; Tim Crook; Charles A. Mein; Nicholas R. Lemoine; Louise Jones; S Basu
Yes-associated protein (YAP) has been shown to positively regulate p53 family members and to be negatively regulated by the AKT proto-oncogene product in promoting apoptosis. On the basis of this function and its location at 11q22.2, a site of frequent loss of heterozygosity (LOH) in breast cancer, we investigated whether YAP is a tumor suppressor in breast. Examination of tumors by immunohistochemistry demonstrated significant loss of YAP protein. LOH analysis revealed that protein loss correlates with specific deletion of the YAP gene locus. Functionally, short hairpin RNA knockdown of YAP in breast cell lines suppressed anoikis, increased migration and invasiveness, inhibited the response to taxol and enhanced tumor growth in nude mice. This is the first report indicating YAP as a tumor suppressor, revealing its decreased expression in breast cancer as well as demonstrating the functional implications of YAP loss in several aspects of cancer signaling.
Bioinformatics | 2009
Claude Chelala; Arshad Khan; Nicholas R. Lemoine
Motivation: Design a new computational tool allowing scientists to functionally annotate newly discovered and public domain single nucleotide polymorphisms in order to help in prioritizing targets in further disease studies and large-scale genotyping projects. Summary: SNPnexus database provides functional annotation for both novel and public SNPs. Possible effects on the transcriptome and proteome levels are characterized and reported from five major annotation systems providing the most extensive information on alternative splicing. Additional information on HapMap genotype and allele frequency, overlaps with potential regulatory elements or structural variations as well as related genetic diseases can be also retrieved. The SNPnexus database has a user-friendly web interface, providing single or batch query options using SNP identifiers from dbSNP as well as genomic location on clones, contigs or chromosomes. Therefore, SNPnexus is the only database currently providing a complete set of functional annotations of SNPs in public databases and newly detected from sequencing projects. Hence, we describe SNPnexus, provide details of the query options, the annotation categories as well as biological examples of use. Availability: The SNPnexus database is freely available at http://www.snp-nexus.org. Contact: [email protected]
Database | 2011
Jonathan M. Guberman; J. Ai; Olivier Arnaiz; Joachim Baran; Andrew Blake; Richard Baldock; Claude Chelala; David Croft; Anthony Cros; Rosalind J. Cutts; A. Di Génova; Simon A. Forbes; T. Fujisawa; Emanuela Gadaleta; David Goodstein; Gunes Gundem; Bernard Haggarty; Syed Haider; Matthew Hall; Todd W. Harris; Robin Haw; Songnian Hu; Simon J. Hubbard; Jack Hsu; Vivek Iyer; Philip Jones; Toshiaki Katayama; Rhoda Kinsella; Lei Kong; Daniel Lawson
BioMart Central Portal is a first of its kind, community-driven effort to provide unified access to dozens of biological databases spanning genomics, proteomics, model organisms, cancer data, ontology information and more. Anybody can contribute an independently maintained resource to the Central Portal, allowing it to be exposed to and shared with the research community, and linking it with the other resources in the portal. Users can take advantage of the common interface to quickly utilize different sources without learning a new system for each. The system also simplifies cross-database searches that might otherwise require several complicated steps. Several integrated tools streamline common tasks, such as converting between ID formats and retrieving sequences. The combination of a wide variety of databases, an easy-to-use interface, robust programmatic access and the array of tools make Central Portal a one-stop shop for biological data querying. Here, we describe the structure of Central Portal and show example queries to demonstrate its capabilities. Database URL: http://central.biomart.org.
Blood | 2013
Csaba Bödör; Vera Grossmann; Nikolay Popov; Jessica Okosun; Ciaran O'Riain; King Tan; Jacek Marzec; Shamzah Araf; Jun Wang; Abigail Lee; Andrew Clear; Silvia Montoto; Janet Matthews; Sameena Iqbal; Hajnalka Rajnai; Andreas Rosenwald; German Ott; Elias Campo; Lisa M. Rimsza; Erlend B. Smeland; Wing C. Chan; Rita M. Braziel; Louis M. Staudt; George E. Wright; T. Andrew Lister; Olivier Elemento; Robert Kerrin Hills; John G. Gribben; Claude Chelala; András Matolcsy
Gain of function mutations in the H3K27 methyltransferase EZH2 represent a promising therapeutic target in germinal center lymphomas. In this study, we assessed the frequency and distribution of EZH2 mutations in a large cohort of patients with follicular lymphoma (FL) (n = 366) and performed a longitudinal analysis of mutation during the disease progression from FL to transformed FL (tFL) (n = 33). Mutations were detected at 3 recurrent mutation hot spots (Y646, A682, and A692) in 27% of FL cases with variant allele frequencies (VAF) ranging from 2% to 61%. By comparing VAF of EZH2 with other mutation targets (CREBBP, MLL2, TNFRSF14, and MEF2B), we were able to distinguish patients harboring clonal EZH2 mutation from rarer cases with subclonal mutations. Overall, the high incidence of EZH2 mutations in FL and their stability during disease progression makes FL an appropriate disease to evaluate EZH2 targeted therapy.
Oncogene | 2008
Tomohiko Harada; Claude Chelala; Vipul Bhakta; Tracy Chaplin; K Caulee; Patrick Baril; Bryan D. Young; Nicholas R. Lemoine
To identify genomic abnormalities characteristic of pancreatic ductal adenocarcinoma (PDAC) in vivo, a panel of 27 microdissected PDAC specimens were analysed using high-density microarrays representing ∼116 000 single nucleotide polymorphism (SNP) loci. We detected frequent gains of 1q, 2, 3, 5, 7p, 8q, 11, 14q and 17q (⩾78% of cases), and losses of 1p, 3p, 6, 9p, 13q, 14q, 17p and 18q (⩾44%). Although the results were comparable with those from array CGH, regions of those genetic changes were defined more accurately by SNP arrays. Integrating the Ensembl public data, we have generated ‘gene’ copy number indices that facilitate the search for novel candidates involved in pancreatic carcinogenesis. Copy numbers in a subset of the genes were validated using quantitative real-time PCR. The SKAP2/SCAP2 gene (7p15.2), which belongs to the src family kinases, was most frequently (63%) amplified in our sample set and its recurrent overexpression (67%) was confirmed by reverse transcription–PCR. Furthermore, fluorescence in situ hybridization and in situ RNA hybridization analyses for this gene have demonstrated a significant correlation between DNA copy number and mRNA expression level in an independent sample set (P<0.001). These findings indicate that the dysregulation of SKAP2/SCAP2, which is mostly caused by its increased gene copy number, is likely to be associated with the development of PDAC.
Blood | 2008
Manoj Raghavan; Lan-Lan Smith; Debra M. Lillington; Tracy Chaplin; Ioannis Kakkas; Gael Molloy; Claude Chelala; Jean-Baptiste Cazier; Jamie Cavenagh; Jude Fitzgibbon; T. A. Lister; Bryan D. Young
Despite advances in the curative treatment of acute myeloid leukemia (AML), recurrence will occur in the majority of cases. At diagnosis, acquisition of segmental uniparental disomy (UPD) by mitotic recombination has been reported in 15% to 20% of AML cases, associated with homozygous mutations in the region of loss of heterozygosity. This study aimed to discover if clonal evolution from heterozygous to homozygous mutations by mitotic recombination provides a mechanism for relapse. DNA from 27 paired diagnostic and relapsed AML samples were analyzed using genotyping arrays. Newly acquired segmental UPDs were observed at relapse in 11 AML samples (40%). Six were segmental UPDs of chromosome 13q, which were shown to lead to a change from heterozygosity to homozygosity for internal tandem duplication mutation of FLT3 (FLT3 ITD). Three further AML samples had evidence of acquired segmental UPD of 13q in a subclone of the relapsed leukemia. One patient acquired segmental UPD of 19q that led to homozygosity for a CEBPA mutation 207C>T. Finally, a single patient with AML acquired segmental UPD of chromosome 4q, for which the candidate gene is unknown. We conclude that acquisition of segmental UPD and the resulting homozygous mutation is a common event associated with relapse of AML.
Nucleic Acids Research | 2012
Abu Z. Dayem Ullah; Nicholas R. Lemoine; Claude Chelala
Broader functional annotation of single nucleotide variations is a valuable mean for prioritizing targets in further disease studies and large-scale genotyping projects. We originally developed SNPnexus to assess the potential significance of known and novel SNPs on the major transcriptome, proteome, regulatory and structural variation models in order to identify the phenotypically important variants. Being committed to providing continuous support to the scientific community, we have substantially improved SNPnexus over time by incorporating a broader range of variations such as insertions/deletions, block substitutions, IUPAC codes submission and region-based analysis, expanding the query size limit, and most importantly including additional categories for the assessment of functional impact. SNPnexus provides a comprehensive set of annotations for genomic variation data by characterizing related functional consequences at the transcriptome/proteome levels of seven major annotation systems with in-depth analysis of potential deleterious effects, inferring physical and cytogenetic mapping, reporting information on HapMap genotype/allele data, finding overlaps with potential regulatory elements, structural variations and conserved elements, and retrieving links with previously reported genetic disease studies. SNPnexus has a user-friendly web interface with an improved query structure, enhanced functional annotation categories and flexible output presentation making it practically useful for biologists. SNPnexus is freely available at http://www.snp-nexus.org.
Cancer Research | 2007
Patrick Mahon; Patrick Baril; Vipul Bhakta; Claude Chelala; Krishna Caulee; Tomohiko Harada; Nicholas R. Lemoine
Pancreatic ductal adenocarcinoma (PDAC) is a devastating disease that is characterized by a particularly marked resistance to chemotherapy. We previously showed an association between decreased expression of BNIP3 and chemoresistance in PDAC cell lines. To further explore the molecular basis of chemoresistance in PDAC, we analyzed microarray data obtained from normal pancreas and PDAC tumor samples to identify genes exhibiting a negative correlation with the expression profile of BNIP3. This analysis identified several S100 family proteins, of which two, S100A2 and S100A4, showed in vitro the ability to repress exogenous BNIP3 promoter activity. We subsequently showed that RNA interference-mediated S100A4 knockdown resulted in an elevated expression of BNIP3 in PDAC cell lines that possess an unmethylated BNIP3 promoter, suggesting that, in addition to hypermethylation, S100A4 overexpression may represent an alternative mechanism for inhibiting BNIP3 function in PDAC. S100A4 knockdown also resulted in an increased sensitivity of PDAC cell lines to gemcitabine treatment, which was coupled with an increase in apoptosis and cell cycle arrest. To investigate the underlying mechanisms mediating these effects, we studied the effect of silencing the expression of S100A4 on the induction of apoptosis, cell cycle arrest, and the activation of apoptotic mediators. Knockdown of S100A4 clearly induced apoptosis with increased fragmentation of DNA and phosphatidyl serine externalization; activation of caspase-3, caspase-9, and poly(ADP-ribose) polymerase; and release of cytochrome c into the cytosol. These findings provide evidence that supports a novel role for S100A4 as a prosurvival factor in pancreatic cancer.
Genes, Chromosomes and Cancer | 2008
Manu Gupta; Manoj Raghavan; Rosemary E. Gale; Claude Chelala; Christopher Allen; Gael Molloy; Tracy Chaplin; David C. Linch; Jean-Baptiste Cazier; Bryan D. Young
The acquisition of uniparental disomy (aUPD) in acute myeloid leukemia (AML) results in homozygosity for known gene mutations. Uncovering novel regions of aUPD has the potential to identify previously unknown mutational targets. We therefore aimed to develop a map of the regions of aUPD in AML. Here, we have analyzed a large set of diagnostic AML samples (n = 454) from young adults (age: 15–55 years) using genotype arrays. Acquired UPD was found in 17% of the samples with a nonrandom distribution particularly affecting chromosome arms 13q, 11p, and 11q. Novel recurrent regions of aUPD were uncovered at 2p, 17p, 2q, 17q, 1p, and Xq. Overall, aUPDs were observed across all cytogenetic risk groups, although samples with aUPD13q (5.4% of samples) belonged exclusively to the intermediate‐risk group as defined by cytogenetics. All cases with a high FLT3‐ITD level, measured previously, had aUPD13q covering the FLT3 gene. Significantly, none of the samples with FLT3‐ITD‐/FLT3‐TKD+ mutation exhibited aUPD13q. Of the 119 aUPDs observed, the majority (87%) were due to mitotic recombination while only 13% were due to nondisjunction. This study demonstrates aUPD is a frequent and significant finding in AML and pinpoints regions that may contain novel mutational targets.