A5031857573- Cancer Genomics and Diagnostics
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Cancer Research and Treatments
- Machine Learning in Bioinformatics
- Lung Cancer Treatments and Mutations
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- Gene expression and cancer classification
- Cancer-related gene regulation
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Genetic factors in colorectal cancer
- Ubiquitin and proteasome pathways
- Acute Myeloid Leukemia Research
- interferon and immune responses
- Neural dynamics and brain function
- Genetics, Bioinformatics, and Biomedical Research
- Chronic Myeloid Leukemia Treatments
- Hippo pathway signaling and YAP/TAZ
- RNA Research and Splicing
- Chromatin Remodeling and Cancer
- Cytokine Signaling Pathways and Interactions
- Neural Networks and Applications
European Bioinformatics Institute
2002-2025
Institute of Cancer Research
2015-2024
Genomics (United Kingdom)
2024
Wellcome Sanger Institute
2009-2022
GlaxoSmithKline (United Kingdom)
2021-2022
Breast Cancer Now
2018
Newcastle University
2016
Cancer Genetics (United States)
2015
Houston Methodist
2014
The University of Tokyo
2014
The Ensembl (http://www.ensembl.org/) database project provides a bioinformatics framework to organise biology around the sequences of large genomes. It is comprehensive source stable automatic annotation human genome sequence, with confirmed gene predictions that have been integrated external data sources, and available as either an interactive web site or flat files. also open software engineering develop portable system able handle very genomes associated requirements from sequence...
Different experimental technologies measure different aspects of a system and to differing depth breadth. High-throughput assays have inherently high false-positive false-negative rates. Moreover, each technology includes systematic biases nature. These differences make network reconstruction from multiple data sets difficult error-prone. Additionally, because the rapid rate progress in biotechnology, there is usually no curated exemplar set which one might estimate integration parameters....
Pancreatic cancer is one of the most deadly cancers affecting Western world. Because disease highly metastatic and difficult to diagnosis until late stages, 5-y survival rate around 5%. The identification molecular drivers critical for furthering our understanding development improved diagnostic tools therapeutics. We have conducted a mutagenic screen using Sleeping Beauty ( SB ) in mice identify new candidate genes pancreatic cancer. By combining with an oncogenic Kras allele, we observed...
Macrophages are versatile immune cells that can detect a variety of pathogen-associated molecular patterns through their Toll-like receptors (TLRs). In response to microbial challenge, the TLR-stimulated macrophage undergoes an activation program controlled by dynamically inducible transcriptional regulatory network. Mapping complex mammalian network poses significant challenges and requires integration multiple experimental data types. this work, we inferred underlying murine activation....
Significance Using Sleeping Beauty transposon mutagenesis in a melanoma model driven by oncogenic BRAF (B-Raf proto-oncogene, serine/threonine kinase), we identified both known and novel candidate genes that mediate resistance to the inhibitor PLX4720. We validate ES-cell expressed Ras as promoter of propose AKT (v-akt murine thymoma viral oncogene homolog 1)-mediated inactivation BAD (BCL2-associated agonist cell death) constitutes pathway may contribute hepatocyte growth factor-mediated...
Significance Using an unbiased forward mutagenesis screen, we were able to successfully identify candidate genes that drive advanced and metastatic prostate cancer (CaP). Alterations of peroxisome proliferator-activated receptor gamma ( PPARG ), encoding a regulator crucial lipid metabolism, appear play role in the development CaP both humans mice.
Genome-wide association studies (GWAS) have identified approximately 100 breast cancer risk loci. Translating these findings into a greater understanding of the mechanisms that influence disease requires identification genes or non-coding RNAs mediate associations. Here, we use Capture Hi-C (CHi-C) to annotate 63 loci; identify 110 putative target at 33 To assess support for in other data sources test associations between levels expression and SNP genotype (eQTLs), disease-specific survival...
Osteosarcoma is the most common primary cancer of bone, with a peak incidence in children and young adults. Using multi-region whole-genome sequencing, we find that chromothripsis an ongoing mutational process, occurring subclonally 74% osteosarcomas. Chromothripsis generates highly unstable derivative chromosomes, evolution which drives acquisition oncogenic mutations, clonal diversification, intra-tumor heterogeneity across diverse sarcomas carcinomas. In addition, characterize new...
The integration of data from multiple global assays is essential to understanding dynamic spatiotemporal interactions within cells. In a companion paper, we reported methodology, designated Pointillist, that can handle types technologies with different noise characteristics. Here demonstrate its application the 18 sets relating galactose utilization in yeast. These include changes mRNA and protein abundance, genome-wide protein–DNA interaction data, database information, computational...
The ability of retroviruses and transposons to insert their genetic material into host DNA makes them widely used tools in molecular biology, cancer research gene therapy. However, these systems have biases that may strongly affect outcomes. To address this issue, we generated very large datasets consisting unselected integrations the mouse genome for Sleeping Beauty (SB) piggyBac (PB) transposons, Mouse Mammary Tumor Virus (MMTV). We analyzed (epi)genomic features generate bias maps at both...