Cai et al., 2016 - Google Patents
Loss of chromosome 8p governs tumor progression and drug response by altering lipid metabolismCai et al., 2016
View HTML- Document ID
- 540307058601426070
- Author
- Cai Y
- Crowther J
- Pastor T
- Asbagh L
- Baietti M
- De Troyer M
- Vazquez I
- Talebi A
- Renzi F
- Dehairs J
- Swinnen J
- Sablina A
- Publication year
- Publication venue
- Cancer cell
External Links
Snippet
Large-scale heterozygous deletions are a hallmark of cancer genomes. The concomitant loss of multiple genes creates vulnerabilities that are impossible to reveal through the study of individual genes. To delineate the functional outcome of chromosome 8p loss of …
- 210000000349 Chromosomes 0 title abstract description 29
Classifications
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Hybridisation probes
- C12Q1/6883—Hybridisation probes for diseases caused by alterations of genetic material
- C12Q1/6886—Hybridisation probes for diseases caused by alterations of genetic material for cancer
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/02—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving viable micro-organisms
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12N—MICRO-ORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING OR MAINTAINING MICRO-ORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
- C12N15/00—Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor
- C12N15/09—Recombinant DNA-technology
- C12N15/10—Processes for the isolation, preparation or purification of DNA or RNA
- C12N15/1034—Isolating an individual clone by screening libraries
- C12N15/1079—Screening libraries by altering the phenotype or phenotypic trait of the host
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/106—Pharmacogenomics, i.e. genetic variability in individual responses to drugs and drug metabolism
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Cai et al. | Loss of chromosome 8p governs tumor progression and drug response by altering lipid metabolism | |
| Nyquist et al. | Combined TP53 and RB1 loss promotes prostate cancer resistance to a spectrum of therapeutics and confers vulnerability to replication stress | |
| Chan-Seng-Yue et al. | Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution | |
| Gopal et al. | Widespread chromosomal losses and mitochondrial DNA alterations as genetic drivers in Hürthle cell carcinoma | |
| Ganly et al. | Integrated genomic analysis of Hürthle cell cancer reveals oncogenic drivers, recurrent mitochondrial mutations, and unique chromosomal landscapes | |
| Yachida et al. | Genomic sequencing identifies ELF3 as a driver of ampullary carcinoma | |
| van Jaarsveld et al. | Difference makers: chromosomal instability versus aneuploidy in cancer | |
| Walz et al. | Recurrent DGCR8, DROSHA, and SIX homeodomain mutations in favorable histology Wilms tumors | |
| Lohr et al. | Widespread genetic heterogeneity in multiple myeloma: implications for targeted therapy | |
| Pillaire et al. | A ‘DNA replication’signature of progression and negative outcome in colorectal cancer | |
| Boonen et al. | CHEK2 variants: linking functional impact to cancer risk | |
| Aytes et al. | Cross-species regulatory network analysis identifies a synergistic interaction between FOXM1 and CENPF that drives prostate cancer malignancy | |
| Gordan et al. | HIF-α effects on c-Myc distinguish two subtypes of sporadic VHL-deficient clear cell renal carcinoma | |
| Carvalho et al. | Lack of microRNA‐101 causes E‐cadherin functional deregulation through EZH2 up‐regulation in intestinal gastric cancer | |
| Steidl et al. | Genome-wide copy number analysis of Hodgkin Reed-Sternberg cells identifies recurrent imbalances with correlations to treatment outcome | |
| Li et al. | Foxa1 and Foxa2 are essential for sexual dimorphism in liver cancer | |
| O'Hagan et al. | Telomere dysfunction provokes regional amplification and deletion in cancer genomes | |
| Xu et al. | Single-cell exome sequencing reveals single-nucleotide mutation characteristics of a kidney tumor | |
| Meijers-Heijboer et al. | The CHEK2 1100delC mutation identifies families with a hereditary breast and colorectal cancer phenotype | |
| Shen et al. | Comprehensive genomic profiling of glioblastoma tumors, BTICs, and xenografts reveals stability and adaptation to growth environments | |
| Xu-Monette et al. | Clinical and biologic significance of MYC genetic mutations in de novo diffuse large B-cell lymphoma | |
| Takahashi et al. | Replication stress defines distinct molecular subtypes across cancers | |
| Capasso et al. | The functional variant rs34330 of CDKN1B is associated with risk of neuroblastoma | |
| Xu et al. | Cohesin Rad21 mediates loss of heterozygosity and is upregulated via Wnt promoting transcriptional dysregulation in gastrointestinal tumors | |
| Lin et al. | Using next‐generation sequencing to redefine BRCAness in triple‐negative breast cancer |