Variant acute promyelocytic leukemia (APL) bone marrow aCGH
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Eul-Ju Seo
PROVIDER: E-GEOD-42984 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:CGH microarray in a patient with variant APL
2012-12-19 | GSE42984 | GEO
Project description:Acute Promyelocytic Leukemia (APL) is characterized by the t(15;17)(q22;q11.2) translocation, which creates a PML-RARA fusion gene that can initiate APL in mice. To discover cooperating mutations in this model, we sequenced a mouse APL genome to 15.6x haploid coverage, and discovered three somatic, non-synonymous mutations, of which one (Jak1 V657F) was recurrent. This mutation is identical to the JAK1 V658F mutation previously found in human APL and ALL samples. JAK1 V658F cooperates in vivo with PML-RARA, causing a rapidly fatal leukemia. We also discovered a somatic 150kb deletion involving the Kdm6a/Utx gene in the mouse APL genome; 3/14 additional mouse APL samples had similar deletions involving Kdm6a/Utx. Kdm6A/Utx, a histone H3K27 demethylase, was also deleted in 1/150 human AML samples tested. Whole genome sequencing of mouse cancer genomes provides an unbiased approach for discovering functionally relevant mutations that are also present in human leukemias. DNA from 15 mouse APL tumors on the Bl/6 Taconic background (F10), DNA from one WT 129/SvJ mouse spleen, and pooled DNA derived from the spleens of 6-week-old, wild type, Bl/6 Taconic (parental strain) mice were analyzed using the Nimblegen Mouse CGH 3x720K WGT platform.
2010-12-30 | E-GEOD-26130 | biostudies-arrayexpress
Project description:Acute Promyelocytic Leukemia (APL) is characterized by the t(15;17)(q22;q11.2) translocation, which creates a PML-RARA fusion gene that can initiate APL in mice. To discover cooperating mutations in this model, we sequenced a mouse APL genome to 15.6x haploid coverage, and discovered three somatic, non-synonymous mutations, of which one (Jak1 V657F) was recurrent. This mutation is identical to the JAK1 V658F mutation previously found in human APL and ALL samples. JAK1 V658F cooperates in vivo with PML-RARA, causing a rapidly fatal leukemia. We also discovered a somatic 150kb deletion involving the Kdm6a/Utx gene in the mouse APL genome; 3/14 additional mouse APL samples had similar deletions involving Kdm6a/Utx. Kdm6A/Utx, a histone H3K27 demethylase, was also deleted in 1/150 human AML samples tested. Whole genome sequencing of mouse cancer genomes provides an unbiased approach for discovering functionally relevant mutations that are also present in human leukemias.
2010-12-30 | GSE26130 | GEO
Project description:Kabuki syndrome (KS) is a rare multiple congenital anomalies/mental retardation (MCA/MR) syndrome described in 19811,2. In 2010, exome sequencing identified MLL2 mutations in patients with KS3. Since then, 5 studies identified a mutation in MLL2 in 56-75,6% of KS patients3-7. Here, we describe 2 KS and 1 KS-like patient with a de novo partial or complete deletion of UTX, a histone demethylase interacting with MLL2 in gene regulation. UTX locates on the X chromosome and we showed that the X chromosome with the deleted copy of UTX is preferentially inactivated despite the fact that UTX escapes X-inactivation. This study unveiled deletion of UTX as a second cause of KS and highlights the growing role of histone methylase/demethylase in MCA/MR syndrome. Two patients were analysed by Agilent array CGH 244K (AMADID: 014693) Three patients DNA were analyzed by CGH on custom targeted array 44K (AMADID: 032482). Two of them were initially analyzed using 244K Whole genome Arrays (AMADID: 014693). One third patient was selected given suspicion of deletion in one of the targeted gene (KDM6A) as amplification of some exons performed in our lab to sequence this gene failed.
2012-01-01 | E-GEOD-32567 | biostudies-arrayexpress
Project description:The aim of this study was to establish a single-cell array comparative genomic hybridization (SCaCGH) method providing in-depth genomic analysis of circulating tumor cells (CTCs) and disseminated tumor cells (DTCs). The robustness and resolution limits of the method were estimated with different cell amounts of the breast cancer cell line SKBR3 using 44k and 244k arrays. Subsequent adjustments of the method were conducted analyzing the copy number profiles of 28 CTCs in combination with four hematopoietic cell (HC) controls from eight metastatic patients and of 24 DTCs, three probable HCs, and five HC controls from seven breast cancer patients and one healthy donor. The frequency of the major genomic gains and losses of the analyzed DTC revealed similarities to primary breast tumor samples with some evident differences. Three of the patients had available profiles for DTC and the corresponding primary tumor. In 2/3 of the examined DTCs, equivalent genomic changes and common aberration breakpoints were disclosed, both to each other and to the corresponding primary tumors. Interestingly, similar copy number changes were found in DTCs taken at time of diagnosis or in DTCs collected at 3-years relapse-free follow up. Residual immunomorphological characterized tumor cells showed balanced profiles with only minor aberrations. Three cells with unclear morphological identification showed either balanced profiles (n=2) or aberrations comparable to the primary tumor and DTC (n=1). SCaCGH may be a powerful tool for molecular characterisation of immunostained and morphological identified CTCs and DTCs to explore the malignant potential, therapeutic targets and tumor heterogeneity of single tumor cells. 24 DTCs, 3 probable HCs, and 5 HCs from 7 early-stage breast cancer patients, 28 CTCs and 4 HCs from 8 metastatic breast cancer patients, and 1 healthy donor were analysed. Comparison with the primary tumor was done in 3 patients. The reference for the patients was DNA from multiple anonymous female donors. This submission does not include the SKBR3 data obtained from the 44k array.
2012-11-19 | E-GEOD-27574 | biostudies-arrayexpress
Project description:In this series we described the gene expression profiles of 18 APL patients using a high density DNA-oligonucleotide microarray (Agilent) representing about 20.000 genes demonstrating the presence of a very uniform expression pattern of APL cases among which two mainly types of gene profiles were recognized by unsupervised analysis. Relationship between these two subgroups and the different clinical, haematological and molecular APL features, comprising FLT3 status, were investigated. To identify biologically meaningful subsets of APL, fluorescently-labelled cRNA was generated by in vitro transcription using Low RNA Input Fluorescent Linear Amplification Kit (Agilent Technologies) according to the manufacturer?s instructions. Amplified cRNA of each patient was labelled with cyanine 5-CTP and Human Universal Reference (Stratagene) with 3-CTP in each experiment. Samples were hybridized on Agilent Human 1A Oligo Microarray (V2), ink-jet printed microarray, comprising 20,173 (60-mer) experimentally validated oligonucleotide probes (features). Fluorescence data were analysed with Feature Extraction Software v.7.5 (Agilent Technologies). Log10 ratio of the dye-normalized Cy3 and Cy5 channel signals were calculated. Raw signal intensities from each scan were imported into the gene expression analysis software Luminator (Rosetta Biosoftware). Two-dimensional clustering analysis was performed with Rosetta Luminator using an agglomerative algorithm with average link heuristics and correlation with mean subtraction. Supervised classification of APL samples into categories based on gene expression profiles was performed using Bayesian classifier implemented by Rosetta Biosoftware. Resultant gene expression profiles were first analyzed using an unsupervised, agglomerative hierarchical clustering. The matrix view clearly evidenced the high grade of uniformity in gene expression pattern among APL patients being the majority of genes expressed at high (red colour) or low (green colour) levels relative to reference in all APL cases analyzed. This appearance of unsupervised matrix reflects the homogeneous nature of acute promyelocytic leukemia whose gene expression pattern definitely distinguishes it from all other types of acute myeloid leukemia. Beside the homogeneous pattern, subtle differences in gene expression had the strength to distinguish three clusters of APL patients (designed I, II, III). Comparisons between cluster I and cluster II patients clearly revealed a preferential distribution of FLT3 gene mutated cases in cluster I. Again, cluster I was related to microgranular morphology (M3v) (p=0.035) and short-type PML-RAR isoform (bcr3) (p=0.044). Furthermore cluster I was significantly associated with higher presentation circulant blast cell percentage (p=0.030) as well as hyperleucocitosis (p=0.009). To identify those genes distinguishing the FLT3-ITD leukemic cells from FLT3-WT, we applied a Bayesian classifier. 147 genes, significantly different among classes based on t-tests, were selected and included into the classifier. Among them, 92 genes were up-regulated in FLT3-ITD class and 55 were down-regulated. FLT3 internal tandem duplication gene expression signature consisted of several high expressed genes, among them we found genes that are involved in cytoskeleton organization, cell adhesion and migration, in proliferation and coagulation/inflammation pathways as well as down-regulated genes of myeloid granules and differentiation suggesting a role of FLT3 mutations in the pathogenesis and clinical manifestation of an APL subtype. SUPPLEMENTARY DATA:1) Anova gene list ITD, 2)Anova gene list M3 morphology, 3)Anova gene list PML/RARalpha isoforms (bcr), 4)Intersection gene list ITD_M3, 5) Intersection gene list ITD_bcr, 6)Intersection gene list M3_bcr, 7)Bayesian classifier gene list for FLT3-ITD vs FLT3-wt, 8)Bayesian classifier gene list for bcr1 vs bcr3
2008-05-07 | E-GEOD-2550 | biostudies-arrayexpress
Project description:This experiment was an aCGH study on 86 prostate tumors samples. The samples were profiled on Agilent Human Genome 44karrays to identify recurrent regions of deletion and amplification, thus revealing potential new tumor suppressor genes and/or oncogenes involved in prostate cancer. The CGH profile on the 44k arrays revealed a deletion at 5q21 in 17% of samples. CGH analysis of 86 prostate tumor samples.
2011-12-19 | E-GEOD-29227 | biostudies-arrayexpress
Project description:We profiled transcripts from sorted phloem cells of wild-type and apl mutants to identify the genes regulated by APL in phloem. We profiled transcripts from sorted phloem cells of wild-type and apl mutants to identify the genes regulated by APL in phloem.
2014-08-25 | GSE55222 | GEO
Project description:We profiled transcripts from sorted phloem cells of wild-type and apl mutants to identify the genes regulated by APL in phloem. We profiled transcripts from sorted phloem cells of wild-type and apl mutants to identify the genes regulated by APL in phloem. Three biological replicates for control WT and apl mutants were used in thes study. Root tissue was protoplasted and sorted using fluorescence-activated cell sorting (FACS). Total RNA was extracted from GFP+ protoplasts.
2014-08-25 | E-GEOD-55222 | biostudies-arrayexpress
Project description:Array CGH analysis of paired blood and tumor DNA samples from 14 patients with sporadic Wilms tumor. Previously array CGH studies in WT have only been performed in tumor tissue samples. We herein describe a novel set of constitutional abnormalities and point to candidate genes that might be associated with WT development. 28 paired DNA samples of peripheral blood/fresh tumor tissue from 14 patients (10 males, 4 females) with histologically confirmed WT. All tumor samples were collected from primary tumors from patients treated with the same neoadjuvant chemotherapy following the International Society of Paediatric Oncology (SIOP) WT 2001 trial protocol.
2015-06-19 | E-GEOD-69971 | biostudies-arrayexpress