Expression Profile of PIP Kinases During In Vitro Human Erythropoiesis

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2079-2079
Author(s):  
Tânia Regina Zaccariotto ◽  
Carolina Lanaro ◽  
Dulcinéia Martins Albuquerque ◽  
Magnun N N Santos ◽  
Marcos André Cavalcanti Bezerra ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Culture ◽  
Expression Profile ◽  
Expression Profiles ◽  
Globin Gene ◽  
Gene Expression Profiles ◽  
Erythroid Differentiation ◽  
Globin Genes ◽  
Hb H Disease

Abstract Abstract 2079 Phosphatidylinositol phosphate kinases (PIPKs) are a family of lipid kinase enzymes that produce the second messenger PI4,5P2 (phosphatidylinositol 4,5-biphosphate), which plays an important role in the regulation of a variety of cellular activities, including gene expression. PIPKs are classified into 3 subfamilies — PIPK I (a, b, g), PIPK II (a, b, g) and PIPK III — which are functionally distinct and are located in different subcellular compartments. In a recent study in our laboratory, the PIPKIIa gene was differentially expressed in reticulocytes from 2 siblings with hemoglobin (Hb) H disease who had the same genotype (-a3.7/–SEA). Expression of both the PIPKIIa and b-globin genes were higher in the patient with the higher Hb H level, suggesting a possible relationship between PIPKIIa and the production of globins, particularly b-globin. In light of these findings, the aim of this study was to determine the gene expression profiles of PIPKs (I and II - with their isoforms a, b and g - and III) during erythropoiesis in peripheral blood hematopoietic CD34+ cell culture from 11 healthy volunteers and 6 patients with hemoglobinopathies [2 with a-thalassemia (Hb H disease), 2 with b-thalassemia (homozygous for the IVS-I-6-T-C mutation) and 2 with sickle cell anemia] using quantitative real time PCR (qRT-PCR) and to compare these profiles with the gene expression profiles of a-, b- and g-globins on the 7th, 10th and 13th days of the erythroid culture. In the cell culture from the normal group, expression of the PIPKIIa and other PIPK genes increased during erythroid differentiation, coinciding with the expression profiles of globin genes and showing in particular that a-globin has a significant effect on PIPKIIa (p<0.0001), as the PIPKIIa on a-globin gene (p=0.0002). In the patients, the expression profile of the PIPKIIa gene also increased during differentiation, whereas the results for the other PIPK genes varied. However, mRNA levels differed between patients, indicating greater complexity in individuals with hemoglobinopathies. PIPKIIa expression level was elevated in the culture from one of the a-thalassemia patients (approximately 12 times higher than in the corresponding control) but was lower than the control in one of the b-thalassemia patients. Expression levels of this gene also varied among sickle cell patients. This is the first study of the gene expression profiles of these kinases during in vitro human erythropoiesis. We identified a standard pattern of gene expression for PIPKs, and PIPKIIa in particular, a gradual increase in expression during erythroid differentiation, similar to the pattern for globin genes. This suggests that PI4,5P2, as an important secondary messenger involved in the regulation of gene expression, may play an important role in the regulation of globin gene expression and the normal process of Hb synthesis in red blood cells. Although our results varied between patients, highlighting the complexity of the regulatory systems involved in Hb production, they reinforce the hypothesis of a relationship between PIPKIIa and globin expression. This work was supported by FAPESP, CNPq and CAPES. Disclosures: No relevant conflicts of interest to declare.

Global Gene Expression Revealed a Set of Genes Involved in the Modification of Cells during Erythropoiesis.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 4074-4074
Author(s):  
Anderson F. Cunha ◽  
Ana F. Brugnerotto ◽  
Adriana S.S. Duarte ◽  
Gustavo G.L. Costa ◽  
Sara T.O. Saad ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Differentiation ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Erythroid Differentiation ◽  
Global Gene Expression ◽  
Differentially Expressed ◽  
Globin Genes

Abstract Erythroid differentiation is a dynamic and complex process in which a pluripotent stem cell undergoes a series of developmental changes that commit it to a specific lineage. These alterations involve changes in gene expression profiles. Extensive studies have led to a considerable understanding of the cellular and molecular control of hemoglobin production during red blood cell differentiation, however, a complete understanding of human erythropoiesis will require a robust description of the entire transcriptome of these cells during differentiation. From a global point of view of cell metabolic regulation, where genomic information could be complemented with gene expression, the use of methods that enable quantification of the entire transcriptome of the red blood cell during differentiation is of great importance. In this study, the gene expression profiles during differentiation of Human erythroid cells of a normal blood donor in a two-phase liquid culture (Fibach & Rachmilewitz, 1993) were evaluated using Serial analysis of gene expression (SAGE). Global gene expression was evaluated in cells collected immediately before the addition of erythropoeitin (0 hour) and 192 and 336 hours after the addition of this hormone. We generated a total of 30512 tags at 0h, 30117 tags at 192h and 30189 tags at 336h, representing 12026, 11709 and 11337 unique tags, respectively. In the 0h library, a high expression of ferritin genes and CD74 antigen gene was observed. As expected, the expression of globin genes started during intermediate stages of differentiation (predominantly basophilic erythroblasts) and were the most expressed genes at the end of the culture (predominantly orthocromatic erythroblasts). Ribosomal genes were the most expressed genes at 192 hours, indicating an increase in protein synthesis. To identify the genes that were differentially expressed between the libraries, a P value < 0.01 and fold ≥ 5 were considered as statistically significant. In the comparison of the 0h and 192h libraries, 179 differentially expressed transcripts were identified. From these genes, in addition to the globin genes, we found an up-regulation of several genes related to protein binding (LXN, GSTM3, and TRIP6), transcription factor (GATA-1), hydrolase activity (TPSAB1), ion transport (SLC12A9) and regulation of apoptosis (PRDX2). Comparing the 192h and 336h libraries, 103 differentially expressed transcripts were identified. The up-regulated genes were generally related to hemoglobin synthesis, such as ALAS2, involved in the biosynthesis of the heme group or related to intracellular transport such as MSCP and NUDT4 and cell differentiation such as GDF15. The transcription of some of these genes, such as SLC12A9, TRB3, EYA3 and TWIST2 are described for the first time during erythroid differentiation. The results indicated that the global aspects of the transcriptome were similar during differentiation for the majority of the genes and that probably a relative small set of genes is involved in the modification of erythroid cells during differentiation. The results of this study amplify the previous published data (Komor et al, 2005) and may contribute to the comprehension of erythroid differentiation and identification of new target genes involved in some erythroid diseases.

scholarly journals Transcriptome analysis of gravitational effects on mouse skeletal muscles under microgravity and artificial 1 g onboard environment

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Risa Okada ◽  
Shin-ichiro Fujita ◽  
Riku Suzuki ◽  
Takuto Hayashi ◽  
Hirona Tsubouchi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Muscle Mass ◽  
Muscle Atrophy ◽  
Transcriptome Analysis ◽  
Fiber Type ◽  
Expression Profiles ◽  
Space Station ◽  
Gene Expression Profiles

AbstractSpaceflight causes a decrease in skeletal muscle mass and strength. We set two murine experimental groups in orbit for 35 days aboard the International Space Station, under artificial earth-gravity (artificial 1 g; AG) and microgravity (μg; MG), to investigate whether artificial 1 g exposure prevents muscle atrophy at the molecular level. Our main findings indicated that AG onboard environment prevented changes under microgravity in soleus muscle not only in muscle mass and fiber type composition but also in the alteration of gene expression profiles. In particular, transcriptome analysis suggested that AG condition could prevent the alterations of some atrophy-related genes. We further screened novel candidate genes to reveal the muscle atrophy mechanism from these gene expression profiles. We suggest the potential role of Cacng1 in the atrophy of myotubes using in vitro and in vivo gene transductions. This critical project may accelerate the elucidation of muscle atrophy mechanisms.

The t(14;18) defines a unique subset of diffuse large B-cell lymphoma with a germinal center B-cell gene expression profile

Blood ◽  
2002 ◽  
Vol 99 (7) ◽  
pp. 2285-2290 ◽  
Author(s):  
James Z. Huang ◽  
Warren G. Sanger ◽  
Timothy C. Greiner ◽  
Louis M. Staudt ◽  
Dennis D. Weisenburger ◽  
...  
Keyword(s):  
Gene Expression ◽  
B Cell ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Germinal Center ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Germinal Center B Cell ◽  
Cell Gene Expression ◽  
Cell Gene

Recently we have identified subgroups of de novo primary diffuse large B-cell lymphoma (DLBCL) based on complementary DNA microarray-generated gene expression profiles. To correlate the gene expression profiles with cytogenetic abnormalities in these DLBCLs, we examined the occurrence of the t(14;18)(q32;q21) in the 2 distinctive subgroups of DLBCL: one with the germinal center B-cell gene expression signature and the other with the activated B cell–like gene expression signature. The t(14;18) was detected in 7 of 35 cases (20%). All 7 t(14;18)-positive cases had a germinal center B-cell gene expression profile, representing 35% of the cases in this subgroup, and 6 of these 7 cases had very similar gene expression profiles. The expression of bcl-2 and bcl-6 proteins was not significantly different between the t(14;18)-positive and -negative cases, whereas CD10 was detected only in the group with the germinal center B-cell expression profile, and CD10 was most frequently expressed in the t(14;18)-positive cases. This study supports the validity of subdividing DLBCL into 2 major subgroups by gene expression profiling, with the t(14;18) being an important event in the pathogenesis of a subset of DLBCL arising from germinal center B cells. CD10 protein expression is useful in identifying cases of DLBCL with a germinal center B-cell gene expression profile and is often expressed in cases with the t(14;18).

Simulated microgravity using the Random Positioning Machine inhibits differentiation and alters gene expression profiles of 2T3 preosteoblasts

2005 ◽  
Vol 288 (6) ◽  
pp. C1211-C1221 ◽  
Author(s):  
Steven J. Pardo ◽  
Mamta J. Patel ◽  
Michelle C. Sykes ◽  
Manu O. Platt ◽  
Nolan L. Boyd ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alkaline Phosphatase ◽  
Bone Loss ◽  
Simulated Microgravity ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Underlying Mechanism ◽  
Bone Biology ◽  
Random Positioning Machine

Exposure to microgravity causes bone loss in humans, and the underlying mechanism is thought to be at least partially due to a decrease in bone formation by osteoblasts. In the present study, we examined the hypothesis that microgravity changes osteoblast gene expression profiles, resulting in bone loss. For this study, we developed an in vitro system that simulates microgravity using the Random Positioning Machine (RPM) to study the effects of microgravity on 2T3 preosteoblast cells grown in gas-permeable culture disks. Exposure of 2T3 cells to simulated microgravity using the RPM for up to 9 days significantly inhibited alkaline phosphatase activity, recapitulating a bone loss response that occurs in real microgravity conditions without altering cell proliferation and shape. Next, we performed DNA microarray analysis to determine the gene expression profile of 2T3 cells exposed to 3 days of simulated microgravity. Among 10,000 genes examined using the microarray, 88 were downregulated and 52 were upregulated significantly more than twofold using simulated microgravity compared with the static 1-g condition. We then verified the microarray data for some of the genes relevant in bone biology using real-time PCR assays and immunoblotting. We confirmed that microgravity downregulated levels of alkaline phosphatase, runt-related transcription factor 2, osteomodulin, and parathyroid hormone receptor 1 mRNA; upregulated cathepsin K mRNA; and did not significantly affect bone morphogenic protein 4 and cystatin C protein levels. The identification of gravisensitive genes provides useful insight that may lead to further hypotheses regarding their roles in not only microgravity-induced bone loss but also the general patient population with similar pathological conditions, such as osteoporosis.

scholarly journals The effects of a globin blocker on the resolution of 3’mRNA sequencing data in porcine blood

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Kyu-Sang Lim ◽  
Qian Dong ◽  
Pamela Moll ◽  
Jana Vitkovska ◽  
Gregor Wiktorin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Data Sets ◽  
Globin Genes ◽  
Sequencing Data ◽  
Globin Mrna ◽  
Data Set ◽  
Mrna Sequencing ◽  
Porcine Blood

Abstract Background Gene expression profiling in blood is a potential source of biomarkers to evaluate or predict phenotypic differences between pigs but is expensive and inefficient because of the high abundance of globin mRNA in porcine blood. These limitations can be overcome by the use of QuantSeq 3’mRNA sequencing (QuantSeq) combined with a method to deplete or block the processing of globin mRNA prior to or during library construction. Here, we validated the effectiveness of QuantSeq using a novel specific globin blocker (GB) that is included in the library preparation step of QuantSeq. Results In data set 1, four concentrations of the GB were applied to RNA samples from two pigs. The GB significantly reduced the proportion of globin reads compared to non-GB (NGB) samples (P = 0.005) and increased the number of detectable non-globin genes. The highest evaluated concentration (C1) of the GB resulted in the largest reduction of globin reads compared to the NGB (from 56.4 to 10.1%). The second highest concentration C2, which showed very similar globin depletion rates (12%) as C1 but a better correlation of the expression of non-globin genes between NGB and GB (r = 0.98), allowed the expression of an additional 1295 non-globin genes to be detected, although 40 genes that were detected in the NGB sample (at a low level) were not present in the GB library. Concentration C2 was applied in the rest of the study. In data set 2, the distribution of the percentage of globin reads for NGB (n = 184) and GB (n = 189) samples clearly showed the effects of the GB on reducing globin reads, in particular for HBB, similar to results from data set 1. Data set 3 (n = 84) revealed that the proportion of globin reads that remained in GB samples was significantly and positively correlated with the reticulocyte count in the original blood sample (P < 0.001). Conclusions The effect of the GB on reducing the proportion of globin reads in porcine blood QuantSeq was demonstrated in three data sets. In addition to increasing the efficiency of sequencing non-globin mRNA, the GB for QuantSeq has an advantage that it does not require an additional step prior to or during library creation. Therefore, the GB is a useful tool in the quantification of whole gene expression profiles in porcine blood.

171 THE EFFECT OF TRICHOSTATIN A ON THE DEVELOPMENT AND THE GLOBAL GENE EXPRESSION PATTERNS IN MOUSE EMBRYOS DEVELOPING IN VITRO

2008 ◽  
Vol 20 (1) ◽  
pp. 165
Author(s):  
X. S. Cui ◽  
X. Y. Li ◽  
T. Kim ◽  
N.-H. Kim
Keyword(s):  
Gene Expression ◽  
Trichostatin A ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Mouse Embryos ◽  
Differentially Expressed ◽  
Gene Expression Patterns ◽  
Cell Stage

Trichostatin A (TSA) is an inhibitor of histone deacetylase and is able to alter gene expression patterns by interfering with the removal of acetyl groups from histones. The aim of this study was to determine the effect of TSA treatment on the development and gene expression patterns of mouse zygotes developing in vitro. The addition of 100 nm TSA to the culture medium did not affect the cleavage of mouse embryos (TSA treatment, 148/150 (99%) v. control, 107/107 (100%)); however, embryos that were treated with TSA arrested at the 2-cell stage (145/148, 98%). We estimated the number of nuclei in control and TSA-treated embryos by propidium iodide staining, taking into account the presence of any cells with two or more nuclei. At 62–63 h post-hCG stimulation, control zygotes had developed to the 4-cell stage and exhibited one nucleus in each blastomere, indicative of normal development. In contrast, we observed tetraploid nuclei in at least one blastomere in 20.8% (11/53) of the embryos that had been treated with TSA. At 28–29 h post-hCG stimulation (metaphase of the 1-cell stage), there was no difference in the mitotic index (as determined by analyzing the microtubule configuration) in the TSA group compared to the control group. At the 2-cell stage, however, we did not observe mitotic spindles and metaphase chromatin in embryos in the TSA treatment group compared to the controls. Interestingly, when embryos were cultured in TSA-free medium from 35 h post-hCG stimulation (S- or early G2-phase of the 2-cell stage) onward, almost all of them (47/50) developed to the blastocyst stage. In contrast, when embryos were cultured in TSA-free medium from 42 h post-hCG stimulation (middle G2-phase of the 2-cell stage) onward, they did not develop to the 4-cell stage. We used Illumina microarray technology to analyze the gene expression profiles in control and TSA-treated late 2-cell-stage embryos. Applied Biosystems Expression System software was used to extract assay signals and assay signal-to-noise ratio values from the microarray images. Our data showed that 897 genes were significantly (P < 0.05; 2-sample t-test) up- or down-regulated by TSA treatment compared to controls. Analysis using the PANTHER classification system (https://panther.appliedbiosystems.com) revealed that the 575 genes that were differentially expressed in the TSA group compared to the control were classified as being associated with putative biological processes or molecular function. Overall, in terms of putative biological processes, more nucleoside, nucleotide, and nucleic acid metabolism, protein metabolism and modification, signal transduction, developmental process, and cell cycle genes were differentially expressed between the TSA and control groups. In terms of putative molecular function, more nucleic acid-binding transcription factor and transferase genes were differentially expressed between the groups. The results collectively suggest that inhibition of histone acetylation in mouse embryos affects gene expression profiles at the time of zygotic genome activation, and this subsequently affects further development.

Gene Expression Profiles in Rat Liver Slices Exposed to Hepatocarcinogenic Enzyme Inducers, Peroxisome Proliferators, and 17α-Ethinylestradiol

2006 ◽  
Vol 25 (5) ◽  
pp. 379-395 ◽  
Author(s):  
Gisela Werle-Schneider ◽  
Andreas Wölfelschneider ◽  
Marie Charlotte von Brevern ◽  
Julia Scheel ◽  
Thorsten Storck ◽  
...  
Keyword(s):  
Gene Expression ◽  
Rat Liver ◽  
Mode Of Action ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Peroxisome Proliferators ◽  
Liver Slices ◽  
Enzyme Inducers

Transcription profiling is used as an in vivo method for predicting the mode-of-action class of nongenotoxic carcinogens. To set up a reliable in vitro short-term test system DNA microarray technology was combined with rat liver slices. Seven compounds known to act as tumor promoters were selected, which included the enzyme inducers phenobarbital, α-hexachlorocyclohexane, and cyproterone acetate; the peroxisome proliferators WY-14,643, dehydroepiandrosterone, and ciprofibrate; and the hormone 17 α-ethinylestradiol. Rat liver slices were exposed to various concentrations of the compounds for 24 h. Toxicology-focused TOXaminer™ DNA microarrays containing approximately 1500 genes were used for generating gene expression profiles for each of the test compound. Hierarchical cluster analysis revealed that (i) gene expression profiles generated in rat liver slices in vitro were specific allowing classification of compounds with similar mode of action and (ii) expression profiles of rat liver slices exposed in vitro correlate with those induced after in vivo treatment (reported previously). Enzyme inducers and peroxisome proliferators formed two separate clusters, confirming that they act through different mechanisms. Expression profiles of the hormone 17 α-ethinylestradiol were not similar to any of the other compounds. In conclusion, gene expression profiles induced by compounds that act via similar mechanisms showed common effects on transcription upon treatment in vivo and in rat liver slices in vitro.

Different gene expression profiles in metastasizing midgut carcinoid tumors

2011 ◽  
Vol 18 (4) ◽  
pp. 479-489 ◽  
Author(s):  
Katarina Edfeldt ◽  
Peyman Björklund ◽  
Göran Åkerström ◽  
Gunnar Westin ◽  
Per Hellman ◽  
...  
Keyword(s):  
Gene Expression ◽  
Liver Metastases ◽  
Tumor Progression ◽  
Expression Profile ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Carcinoid Tumors ◽  
Disease Course ◽  
Primary Tumors ◽  
Midgut Carcinoid

The genetic events leading the progression of midgut carcinoid tumors are largely unknown. The disease course varies from patient to patient, and there is a lack of reliable prognostic markers. In order to identify genes involved in tumor progression, gene expression profiling was performed on tumor specimens. Samples comprised 18 primary tumors, 17 lymph node (LN) metastases, and seven liver metastases from a total of 19 patients. Patients were grouped according to clinical data and histopathology into indolent or progressive course. RNA was subjected to a spotted oligo microarray and B-statistics were performed. Differentially expressed genes were verified using quantitative real-time PCR. Self-organizing maps demonstrated three clusters: 11 primary tumors separated in one cluster, five LN metastases in another cluster, whereas all seven liver metastases, seven primary, and 12 LN metastases formed a third cluster. There was no correlation between indolent and progressive behavior. The primary tumors with Ki67 >5%, with low frequency of the carcinoid syndrome, and a tendency toward shorter survival grouped together. Primary tumors differed in expression profile from their associated LN metastases; thus, there is evidence for genetic changes from primary tumors to metastases.ACTG2, GREM2, REG3A, TUSC2, RUNX1, TPH1, TGFBR2, andCDH6were differentially expressed between clusters and subgroups of tumors. The expression profile that assembles tumors as being genetically similar on the RNA expression level may not be concordant with the clinical disease course. This study reveals differences in gene expression profiles and novel genes that may be of importance in midgut carcinoid tumor progression.

MLL-AF9 and MLL-ENL Induce Deregulation of Similar Downstream Candidate Genes: An Analysis across Experimental Protocols and Laboratories.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 3372-3372
Author(s):  
Ashish R. Kumar ◽  
Robert K. Slany ◽  
Jay L. Hess ◽  
John H. Kersey
Keyword(s):  
Gene Expression ◽  
Fusion Protein ◽  
Fusion Gene ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Expression Systems ◽  
Rt Pcr ◽  
Conditional Expression

Expression profiling has become an important tool for understanding gene deregulation in MLL-fusion leukemias. However, the results of gene profiling experiments are difficult to interpret when applied to leukemia cells because (i) leukemias arise in cells that differ greatly in their gene expression profiles, and (ii) leukemias most often require secondary genetic events in addition to the MLL fusion gene. Two principal model systems have been used to understand the direct effects of MLL-fusion genes. Knock-in models have the advantage of the fusion gene being under control of the physiologic promoter. On the other hand, conditional expression systems offer the ability to conduct short term experiments, permitting the analysis of direct effects on downstream genes. In the present combined-analysis, we used the Affymetrix U74Av2 oligonucleotide microarray to evaluate the effects of the MLL-fusion gene in vivo and in vitro respectively using two closely related MLL fusion genes - MLL-AF9 for knock-in and MLL-ENL for conditional expression. In the MLL-AF9 study, we compared gene expression profiles of bone marrow cells from MLL-AF9 knock-in mice (C57Bl/6, MLL-AF9+/−) to those of age-matched wild type mice (Kumar et. al. 2004, Blood). We used a t-test (p<0.05) to selected genes that showed significant changes in expression levels. In the MLL-ENL study, we transformed murine primary hematopoietic cells with a conditional MLL-ENL vector (MLL-ENL fused to the modified ligand-binding domain of the estrogen receptor) such that the fusion protein was active only in the presence of tamoxifen. We then studied the downstream effects of the fusion protein by comparing gene expression profiles of the cells in the presence and absence of tamoxifen. We used a pair-wise comparison analysis to select genes that showed a change in expression level of 1.5 fold or greater in at least two of three experiments (Zeisig et. al. 2004, Mol. Cell Biol.). Those genes that were up-regulated in both datasets were then compiled together. This list included Hoxa7, Hoxa9 and Meis1. The results for these 3 genes were confirmed by quantitative RT-PCR in both the MLL-AF9-knock-in and the MLL-ENL-conditional-expression systems. The remaining candidate genes in the common up-regulated gene set (not yet tested by quantitative RT-PCR) include protein kinases (Bmx, Mapk3, Prkcabp, Acvrl1, Cask), RAS-associated proteins (Rab7, Rab3b), signal transduction proteins (Notch1, Eat2, Shd, Fpr1), cell membrane proteins (Igsf4), chaperones (Hsp70.2), transcription factors (Isgf3g), proteins with unknown functions (Olfm1, Flot1), and hypothetical proteins. The results of the combined analysis demonstrate that these over-expressions are (i) a direct and sustained effect of the MLL-fusion protein, (ii) are independent of secondary events that might be involved in leukemogensis, and (iii) are independent of the two partner genes that participate in these fusions. The over-expression of a few genes in both the -in vitro and in vivo experimental systems makes these molecules very interesting for further studies, to understand the biology of MLL-fusion leukemias and for development of new therapeutic strategies.

Sign in / Sign up

Export Citation Format

Share Document