Neospora caninum: Comparative gene expression profiling of Neospora caninum wild type and a temperature sensitive clone

2011 ◽  
Vol 129 (4) ◽  
pp. 346-354 ◽  
Author(s):  
Robert W. Li ◽  
Wenbin Tuo
2006 ◽  
Vol 39 (1) ◽  
Author(s):  
ÁNGELA D ARMENDÁRIZ ◽  
FELIPE OLIVARES ◽  
RODRIGO PULGAR ◽  
ALEX LOGUINOV ◽  
VERÓNICA CAMBIAZO ◽  
...  

2006 ◽  
Vol 340 (1) ◽  
pp. 105-110 ◽  
Author(s):  
Tohru Fujiwara ◽  
Hideo Harigae ◽  
Shinichiro Takahashi ◽  
Kazumichi Furuyama ◽  
Osamu Nakajima ◽  
...  

2011 ◽  
Vol 52 (10) ◽  
pp. 7529 ◽  
Author(s):  
Gabriel Willmann ◽  
Karin Schäferhoff ◽  
Manuel D. Fischer ◽  
Blanca Arango-Gonzalez ◽  
Sylvia Bolz ◽  
...  

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 119-119
Author(s):  
Benjamin L. Ebert ◽  
Ross L. Levine ◽  
Martha Wadleigh ◽  
Jean-Philippe Brunet ◽  
Jennifer L. Pretz ◽  
...  

Abstract The recently discovered JAK2V617F mutation provides a critical insight into the molecular pathogenesis of polycythemia vera and other myeloproliferative diseases (MPD). However, the mutations present in patients with wild type JAK2 have not been discovered, and the precise molecular consequences of JAK2 mutation have not been elucidated. We employed gene expression profiling to characterize the molecular phenotype of cells with the JAK2V617F mutation, to identify a distinct signature in cells without JAK2 mutations, and to refine a molecular taxonomy of MPDs. Using purified neutrophils from 70 patients with myeloproliferative diseases and 11 unaffected individuals, we performed gene expression profiling using oligonucleotide microarrays, sequencing of the JAK2 gene, quantitative genotyping by mass spectrometry and allele-specific quantitative PCR, and X-inactivation clonality assays. To reduce the confounding influence of normal neutrophils that are admixed with cells bearing disease-causing mutations, we examined the gene expression profiles of samples in which greater than 80% of JAK2 alleles bear the V617F mutation. PRV1, a previously identified marker of polycythemia vera, was powerfully overexpressed in neutrophils with a homozygous JAK2 mutation. In addition, cells with the JAK2 mutation had increased expression of a set of kinases, including JAK2, and decreased expression of a set of phosphatases. Cells that rely on JAK2 activation for clonal dominance may therefore derive a selective advantage from increased expression of the JAK2 gene. We next examined samples that have high clonality, and therefore relatively few normal neutrophils, but do not have a mutation in the JAK2 gene. These samples have a markedly different gene expression profile and overexpress a distinct set of kinases. The kinases overexpressed in cells with wild type JAK2 are candidates for further mutational analysis and are potential therapeutic targets. Utilizing these signatures and unsupervised analytical algorithms, the samples cluster according to their mutational status and the percentage of normal neutrophils in the sample. Our data demonstrate that the gene expression profiles of MPD samples are not uniform regardless of JAK2 genotype, implying that samples with and without JAK2 mutations have not activated the same pathway via alternative mechanisms. Moreover, we have identified a common signature in samples without JAK2 mutations that meets significance, indicating that one or a small number of mutations may play a critical role in these cells. Genotype and gene expression analyses are defining a molecular classification of myeloproliferative diseases with subtypes that have distinct therapeutic targets.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 2372-2372
Author(s):  
Norman Lacayo ◽  
Soheil Meshinchi ◽  
Susana Raimondi ◽  
Chitra Saraiya ◽  
Maureen O’Brien ◽  
...  

Abstract The event-free survival (EFS) estimate for patients with normal karyotype (NK) on COG study POG #9421 (n=144) was 36%. We previously reported a subgroup of patients (n=68) with AML and NK that could be divided into 2 groups whose clinical outcomes correlated with abnormalities of FLT3 [internal tandem duplications (ITD) or activating loop mutations]. EFS estimates were 13% for patients with mutant FLT3 and 61% for children with wild-type FLT3 (P=0.01). We hypothesized that gene expression profiling would identify signatures that are linked to clinical outcome and can be used for risk determination. Cytogenetic testing was carried out in clinical laboratories at the institutions in which AML was diagnosed and then centrally reviewed. We analyzed bone marrow from 45 patients with NK on 43,760-element spotted arrays containing 41,751 unique genes and expressed sequence tags; arrays were obtained from the Stanford University Microarray Core Facility. FLT3 status (mutant or wild type) was determined by RT-PCR analysis of RNA from these 45 samples (exon 11 for ITDs, exon 17 for point mutations): 18 expressed mutant FLT3, 27 expressed wild-type FLT3. Using prediction analysis for microarrays (PAM) to find the minimum number of genes that identified samples associated with and unassociated with events (relapse or death), we identified a 128 gene cluster that differentiated patients with NK on the basis of clinical outcome (classification error rates were 15% for samples associated with events and 12.5% for event-unassociated samples). Significance analysis of microarrays (SAM) identified, with a false-discovery rate of 1.25%, 82 genes in the cluster whose expression differed significantly between the event-associated samples and the event-unassociated samples. Hierarchical clustering based on these 82 genes yielded 2 signatures: one event-associated and one event-unassociated. FLT3 Status Event-Associated Signature Event-Unassociated Signature Wild-type EFS=44% (n=15) EFS=90% (n=12) Mutant EFS=7% (n=13) EFS=60% (n=5) The median WBC counts at the time of diagnosis were 68 x 109/L in the event-associated group and 61 x 109/L in the event-unassociated group (P=0.27). The gene list and d-scores from SAM analysis were analyzed using Ingenuity Pathway Analysis software (Ingenuity™ Systems, Mountain View, CA). Canonical pathways associated with poor outcome included apoptosis signaling (↑BCL2A1, ↓BAK1), ERK/MAP signaling (↑RAC2), cell cycle (↓ABL1), SAPK/JNK signaling (↑RAC2, ↓CDC42), integrin signaling (↑RAC2, ↓BCAR3, ↓ABL1, ↓CDC42), and IL6 signaling (↑IL6R). We conclude that risk assignment for patients with NK can be more precisely determined by combining FLT3 analysis and gene expression profiling. Such an approach identified 4 distinct groups with different outcomes. We will validate these findings by analyzing additional diagnostic samples with normal karyotype. Prospective validation of this strategy in clinical trials may be warranted.


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