ABSTRACT: DNA extracted from frozen tissue of 47 peripheral T-cell lymphomasânot otherwise specified [PTCL-NOS] was hybridized to 250k StyI SNP arrays 47 PTCL NOS compared to healthy reference DNA. DNA of PTCL NOS was extracted from frozen tissue blocks, DNA of healthy individual was extracted from peripheral blood mononuclear cells. Array hybridization was performed according to manufacturer´s protocol.
Project description:In the majority of colorectal cancers (CRC) under clinical suspicion for a hereditary cause, the disease-causing genetic factors are still to be discovered. In order to identify such genetic factors we stringently selected a discovery cohort of 41 CRC index patients with microsatellite-stable tumors. All patients were below 40 years of age at diagnosis and/or exhibited an overt family history. We employed genome-wide copy number profiling using high-resolution SNP-based array CGH on germline DNA, which resulted in the identification of novel copy number variants (CNVs) in 6 patients (15%) encompassing, among others, the cadherin gene CDH18, the bone morphogenetic protein antagonist family gene GREM1, and the breakpoint cluster region gene BCR. In addition, two genomic deletions were encountered encompassing two microRNA genes, hsa-mir-491/KIAA1797 and hsa-mir-646/AK309218. None of these CNVs has previously been reported in relation to CRC predisposition in humans, nor were they encountered in large control cohorts (>1,600 unaffected individuals). Since several of these newly identified candidate genes may be functionally linked to CRC development, our results illustrate the potential of this approach for the identification of novel candidate genes involved in CRC predisposition. Copy number detection was performed using CNAG2.0 software for 250k SNP arrays and using the Affymetrix Genotyping Console v2.1 software for SNP 6.0 arrays, Reference genomes are included in this data set. Germline genomic DNA from 41 patients with early-onset microsatellite stable colorectal cancer was hybridized on Affymetrix Nsp/6.0 SNP-based arrays according to manufacturer's procedures.
Project description:sPNETs are highly malignant embryonal brain tumours of poor prognosis. The underlying biology is poorly understood. To address this we therefore performed high resolution genetic analysis. 36 CNS PNETs and 8 PBs were analysed using the Affymetrix 100K and 500K Mapping Set to identify copy number imbalance at both the chromosome and gene level. Keywords: Affymetrix 100K SNP array, Affymetrix 500K SNP arrays 36 CNS PNETs and 8 PBs with constitutional controls
Project description:Cancer development is associated with multiple genetic alterations and genomic instability either at the chromosomal or base pair level is generally thought to underlie these changes. However, it is still unknown whether genetic instability is absolutely required for tumorigenesis. Here we investigated the genomic instability status of four cytogenetically stable diploid cell lines CAL51, SK-UT-1B, A204 and CH1. We applied high resolution 500K single nucleotide polymorphism (SNP) array analysis and found that all the four cell lines have some sub-microscopic genomic copy number changes. Interestingly, there were many more sub-microscopic chromosome alterations in A204 and CH1 than in CAL51 and SK-UT-1B. Twenty-four-color fluorescence in situ hybridization (FISH) was used to analyse a large number of metaphases from CAL51, SK-UT-1B and CH1 cells. The rate of de novo chromosome rearrangements was significantly higher in CH1 than CAL51 and SK-UT-1B. Although this increased rate did not lead to many clonal cytogenetically apparent chromosome alterations in CH1 cells, it is consistent with a first step towards chromosomal instability. It is more striking that both cell lines CAL51 and SK-UT-1B which have a similar de novo chromosomal change rate to that of normal lymphocytes were microsatellite instability positive by BAT-26 microsatellite analysis. This study further strengths the current concept that genomic instability is associated with tumor development. Keywords: DNA copy number changes DNA from A204, CH1, CAL51 and SK-UT-1B were analyzed by Affymetrix Genechip Mapping 500K Set array. Data were compared with normal samples from HAPMAP database.
Project description:Embryo DNA fingerprinting represents an important tool for tracking embryo-specific outcomes after multiple embryo transfer during IVF. The situation in which 2 embryos are transferred and only one implants represents a unique opportunity for the most well-controlled comparison of competent and incompetent embryos. Specifically, this design eliminates all patient-related variables from the comparison of embryos with or without reproductive potential. However, in order to determine which embryo implanted, the investigator must wait until newborn DNA is available upon delivery. This study validates a non-invasive fetal DNA fingerprinting method that reduces the time to identify which embryo implanted by approximately 31 weeks. Thirty-four patients were studied to determine if fingerprinting of fetal DNA extracted from maternal plasma at 9 gestational weeks concurred with the buccal DNA results obtained from the newborn after delivery. This validation required single nucleotide polymorphism (SNP) profiles on each couples’ preimplantation embryos, enriched fetal DNA from maternal plasma at 9 weeks gestation, and newborn DNA obtained from buccal swabs after delivery. The predictions from fetal DNA-based embryo tracking and gender assignments made at 9 weeks gestation were 100% consistent with standardized methods of assessment performed after term delivery. This study demonstrates the first validated fetal DNA fingerprinting method which predicts both gender and which embryo implanted at 9 weeks gestation following multiple embryo transfer. Affymetrix SNP arrays were processed and successfully completed according to the manufacturer's directions on DNA extracted from 136 embryos, 33 parental blood samples, 17 enriched fetal DNA samples and 21 buccal DNA samples.
Project description:Sacrocolpopexy has been dubbed the âgold standardâ repair for apical pelvic organ prolapse (POP). This study sought to determine a genetic cause for sacrocolpopexy failure by comparing genotypes from 10 women who suffered from early POP reoccurance after sacrocolpopexy surgery, versus 40 randomly selected women with long term success after the same procedure. We objectively defined early overt failure after robotic-assisted laparoscopic sacrocolpopexy as having a pelvic organ prolapse quantification system examination (POP-Q) of stage III or IV occurring in more than one compartment within six months after surgery. All medical records identified during this process were then reviewed by a panel of urogynecology attendings and fellows to select patients who were truly clinical outliers. By this method we identified 10 patients (cases) who experienced early overt surgical failure. We also randomly selected 40 controls from our research database which includes greater than 500 patients who underwent robotic-assisted laparoscopic sacrocolpopexy during the same time period and had been objectively and subjectively assessed for ⥠12 months with surgical success at ⥠12 months that did not undergo prolapse re-operation or re-treatment. Demographics and peri-operative details were compared between cases and controls. Exclusion criteria for controls included use of other graft material besides polypropylene mesh, prior surgery for prolapse involving graft material, and conversion to laparotomy. DNA from the 10 cases and 40 controls was isolated from buccal swabs and genotyped on a single nucleotide polymorphism (SNP) array that contains 250,000 markers (NspI 250K SNP array, Affymetrix, Santa Clara, CA). All women in this study identified as Caucasian. All subjects provided written informed consent to study participation and data release. This was a case-control study approved by the Institutional Review Board at the Atlantic Health System in Morristown New Jersey (R11-10-004). This case-control study compared single genotypes of 10 cases to 40 controls. All subjects were identified as Caucasian. Cases were women who experienced early overt POP recurrence after robotic sacrocolpopexy, and controls were randomly selected women with long term success after the same procedure.
Project description:Many studies estimate that chromosomal mosaicism within the cleavage stage human embryo is high. However, comparison of two unique methods of aneuploidy screening of blastomeres within the same embryo has not been conducted and may indicate whether mosaicism is overestimated due to technical inconsistency rather than biological phenomena. The present study investigates the prevalence of chromosomal abnormality and mosaicism found with two different single cell aneuploidy screening techniques.Thirteen arrested cleavage stage embryos were studied. Each was biopsied into individual cells (n=160). The cells from each embryo were randomized into two groups. Those destined for FISH based aneuploidy screening (n=75) were fixed, 1 cell per slide. Cells for SNP microarray based aneuploidy screening (n=85) were put into individual tubes. Microarray was significantly more reliable (96%) than FISH (83%) for providing an interpretable result (P=0.004). Markedly different results were obtained when comparing microarray and FISH results from individual embryos. Mosaicism was significantly less commonly observed by microarray (4 of 13 embryos; 31%) than by FISH (13 of 13 embryos; 100%)(P=0.0005). Although FISH evaluated fewer chromosomes per cell and fewer cells per embryo, FISH still displayed significantly more unique genetic diagnoses per embryo (3.2+0.2) than microarray (1.3+0.2)(P<0.0001). This is the first prospective, randomized, blinded, and paired comparison between microarray and FISH based aneuploidy screening. Aneuploidy and mosaicism were less common with microarray. While evaluating a smaller number of chromosomes with a proportionally smaller opportunity for finding mosaicism, FISH still had a dramatically higher level of inter-cell variation in diagnosis. SNP microarray based 24 chromosome aneuploidy screening provides more complete and consistent results than FISH. Affymetrix SNP arrays were processed according to the manufacturer's directions on DNA extracted from 13 arrested cleavage stage embryos and biopsied into individual blastomere cells. Individual blastomeres were randomized and blinded for SNP microarray analysis (n = 85). Afflymetrix SNP array analysis was successfully completed on 82 blastomeres.
Project description:Whole genome gene expression and single nucleotide polymorphism microarrays were used to characterise a novel immunodeficiency disorder, Herbert's Syndrome. Affymetrix 250K Sty arrays run through genomic DNA from peripheral blood of case and control subjects, used for DNA copy number analysis. Affymetrix HU133 Plus 2.0 microarrays run through total-RNA from peripheral blood of case and control subjects, used for differential gene expression analysis.
Project description:To obtain a comprehensive genomic profile of presenting multiple myeloma cases we performed high resolution single nucleotide polymorphism (SNP) mapping array analysis in 114 samples alongside 258 samples analysed by U133 Plus 2.0 expression array (Affymetrix). We examined DNA copy number alterations and loss of heterozygosity (LOH) in order to define the spectrum of minimally deleted regions in which relevant genes of interest can be found. The most frequent deletions are located at 1p (30%), 6q (33%), 8q (25%), 12 (22%), 13q (59%), 14q (39%), 16q (35%), 17p (7%), 20 (12%) and 22 (18%). In addition, copy number-neutral LOH, or uniparental disomy, was also prevalent on 1q (8%), 16q (9%), and X (20%), and was associated with regions of gain and loss. Based on fluorescent in situ hybridisation (FISH) and expression quartile analysis, genes of prognostic importance were found to be located at 1p (FAF1, CDKN2C), 1q (ANP32E), and 17p (TP53). In addition, we identified common homozygously deleted genes which have functions relevant to myeloma biology. Taken together, the dysregulated genes from the myeloma genome indicate that the crucial pathways in myeloma pathogenesis include the NF-?B pathway, apoptosis, cell-cycle regulation and Wnt signalling. SNP data: 114 tumour samples (MM) analyzed by Affymetrix 500K array set (Nsp+Sty), of which 80 samples have matched peripheral blood (PB) (non-tumour) DNA performed on the same array types. Matched tumour and non-tumour samples have the same ID number, e.g. MM400 and PB400 Expression data: 258 expression samples from CD138+ cell selection
Project description:Nuclear abnormalities are commonly found in human IVF embryos and are associated with DNA damage, aneuploidy, and decreased developmental potential. Immunohistochemical, microscopic, and cytogenetic analysis of human IVF embryos at different developmental stages and morphologic grades.
Project description:Human clear cell renal cell carcinoma (ccRCC) is a common cancer of the kidney. We applied an integrated approach to identify important factors that influence carcinogenesis in ccRCC. 33 frozen ccRCC samples were subject to copy number analysis. The data was analyzed to identify factors affecting tumorigenesis. The samples were also stained for HIF-1alpha and HIF-2alpha expression. The tumors were subtyped based on HIF expression and investigated for differences in genetic aberrations.