Differential myocardial gene expression in the development and rescue of murine heart failure

2003 ◽  
Vol 15 (2) ◽  
pp. 105-114 ◽  
Author(s):  
Burns C. Blaxall ◽  
Rainer Spang ◽  
Howard A. Rockman ◽  
Walter J. Koch

Numerous murine models of heart failure (HF) have been described, many of which develop progressive deterioration of cardiac function. We have recently demonstrated that several of these can be “rescued” or prevented by transgenic cardiac expression of a peptide inhibitor of the β-adrenergic receptor kinase (βARKct). To uncover genomic changes associated with cardiomyopathy and/or its phenotypic rescue by the βARKct, oligonucleotide microarray analysis of left ventricular (LV) gene expression was performed in a total of 53 samples, including 12 each of Normal, HF, and Rescue. Multiple statistical analyses demonstrated significant differences between all groups and further demonstrated that βARKct Rescue returned gene expression toward that of Normal. In our statistical analyses, we found that the HF phenotype is blindly predictable based solely on gene expression profile. To investigate the progression of HF, LV gene expression was determined in young mice with mildly diminished cardiac function and in older mice with severely impaired cardiac function. Interestingly, mild and advanced HF mice shared similar gene expression profiles, and importantly, the mild HF mice were predicted as having a HF phenotype when blindly subjected to our predictive model described above. These data not only validate our predictive model but further demonstrate that, in these mice, the HF gene expression profile appears to already be set in the early stages of HF progression. Thus we have identified methodologies that have the potential to be used for predictive genomic profiling of cardiac phenotype, including cardiovascular disease.

2003 ◽  
Vol 12 (2) ◽  
pp. 97-112 ◽  
Author(s):  
M. Steenman ◽  
Y.-W. Chen ◽  
M. Le Cunff ◽  
G. Lamirault ◽  
A. Varró ◽  
...  

Heart failure is a multifactorial disease that may result from different initiating events. To contribute to an improved comprehension of normal cardiac function and the molecular events leading to heart failure, we performed large-scale gene expression analysis of failing and nonfailing human ventricle. Our aim was to define and compare expression profiles of 4 specific pathophysiological cardiac situations: 1) left ventricle (LV) from nonfailing heart; 2) LV from failing hearts affected by dilated cardiomyopathy (DCM); 3) LV from failing hearts affected by ischemic CM (ICM); 4) right ventricle (RV) from failing hearts affected by DCM or ICM. We used oligonucleotide arrays representing ∼12,000 human genes. After stringent numerical analyses using several statistical tests, we identified 1,306 genes with a similar expression profile in all 4 cardiac situations, therefore representative of part of the human cardiac expression profile. A total of 95 genes displayed differential expression between failing and nonfailing heart samples, reflecting a reversal to developmental gene expression, dedifferentiation of failing cardiomyocytes, and involvement of apoptosis. Twenty genes were differentially expressed between failing LV and failing RV, identifying possible candidates for different functioning of both ventricles. Finally, no genes were found to be significantly differentially expressed between failing DCM and failing ICM LV, emphasizing that transcriptomal analysis of explanted hearts results mainly in identification of expression profiles of end-stage heart failure and less in determination of expression profiles of the underlying etiology. Taken together, our data resulted in identification of putative transcriptomal landmarks for normal and disturbed cardiac function.


2013 ◽  
Vol 115 (10) ◽  
pp. 1572-1580 ◽  
Author(s):  
Vigdis Hillestad ◽  
Frank Kramer ◽  
Stefan Golz ◽  
Andreas Knorr ◽  
Kristin B. Andersson ◽  
...  

In human heart failure (HF), reduced cardiac function has, at least partly, been ascribed to altered calcium homeostasis in cardiomyocytes. The effects of the calcium sensitizer levosimendan on diastolic dysfunction caused by reduced removal of calcium from cytosol in early diastole are not well known. In this study, we investigated the effect of long-term levosimendan treatment in a murine model of HF where the sarco(endo)plasmatic reticulum ATPase ( Serca) gene is specifically disrupted in the cardiomyocytes, leading to reduced removal of cytosolic calcium. After induction of Serca2 gene disruption, these mice develop marked diastolic dysfunction as well as impaired contractility. SERCA2 knockout (SERCA2KO) mice were treated with levosimendan or vehicle from the time of KO induction. At the 7-wk end point, cardiac function was assessed by echocardiography and pressure measurements. Vehicle-treated SERCA2KO mice showed significantly diminished left-ventricular (LV) contractility, as shown by decreased ejection fraction, stroke volume, and cardiac output. LV pressure measurements revealed a marked increase in the time constant (τ) of isovolumetric pressure decay, showing impaired relaxation. Levosimendan treatment significantly improved all three systolic parameters. Moreover, a significant reduction in τ toward normalization indicated improved relaxation. Gene-expression analysis, however, revealed an increase in genes related to production of the ECM in animals treated with levosimendan. In conclusion, long-term levosimendan treatment improves both contractility and relaxation in a heart-failure model with marked diastolic dysfunction due to reduced calcium transients. However, altered gene expression related to fibrosis was observed.


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 ◽  
...  

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).


2017 ◽  
Vol 102 (1-2) ◽  
pp. 39-46 ◽  
Author(s):  
Woo Young Kim ◽  
Jae Bok Lee ◽  
Seung Pil Jung ◽  
Hoon Yub Kim ◽  
Sang Uk Woo ◽  
...  

The objective was to identify gene expression profile of papillary thyroid microcarcinoma. To help improve diagnosis of papillary thyroid microcarcinoma, we performed gene expression profiling and compared it to pair normal thyroid tissues. We performed microarray analysis with 6 papillary thyroid microcarcinoma and 6 pair normal thyroid tissues. Differentially expressed genes were selected using paired t test, linear models for microarray data, and significance analysis of microarrays. Real-time quantitative reverse transcription–polymerase chain reaction was used to validate the representative 10 genes (MET, TIMP1, QPCT, PROS1, LRP4, SDC4, CITED1, DPP4, LRRK2, RUNX2). We identified 91 differentially expressed genes (84 upregulated and 7 downregulated) in the gene expression profile and validated 10 genes of the profile. We identified a significant genetic difference between papillary thyroid microcarcinoma and normal tissue by 10 upregulated genes greater than 2-fold (P < 0.05).


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 911-911 ◽  
Author(s):  
Martin Neumann ◽  
Sandra Heesch ◽  
Stefan Schwartz ◽  
Nicola Gökbuget ◽  
Dieter Hoelzer ◽  
...  

Abstract Abstract 911 Introduction: Recently, a small subgroup of pediatric acute T-lymphoblastic leukemia (T-ALL) was described, which is closely associated with the gene expression profile of early T-cell precursors (ETPs). This subtype, termed ETP-ALL, showed a highly unfavorable outcome compared to non-ETP(='typical')-ALL. Based on the results of Coustan-Smith et al. (Lancet Oncology, 2009), the Italian national study Associazione Italiana Ematologia Oncologia Pediatrica (AIEOP) and St-Jude Children's hospital modified their treatment in children with ETP-ALL to a more intensive regime including stem cell transplantation. ETP-ALL is characterized by a specific immunophenotype (CD1a-, CD8-, CD5weak with expression of stem cell or myeloid markers). Here we explored the existence of ETP-ALL in adults and further studied the molecular characteristics of this specific T-ALL subtype. Patients and methods: We examined the gene expression profiles of 86 adult T-ALL patients obtained from the Microarray Innovations in LEukemia (MILE) multicenter study (HG-U133 Plus 2.0, Affymetrix, Haferlach et al., JCO in press). In addition, bone marrow of 296 patients from the German Acute Lymphoblastic Leukemia Multicenter Study Group (GMALL) were analyzed by flow cytometry and expression levels of BAALC, IGFBP7, MN1, and WT1 were determined by real-time-PCR. Results: Using the published list of differentially expressed genes in ETPs (Coustan-Smith et al. 2009) we performed unsupervised clustering analyses of the 86 T-ALL samples. A cluster of 17 samples (19.8%) displayed an ETP-associated gene expression profile and were defined as ETP-ALL. Comparing the gene expression profiles of ETP-ALL and typical T-ALL, 2065 probe sets were differentially expressed in ETP-ALL (FDR 0.05). In addition to genes used for classification, we also identified genes known to be involved in the pathogenesis of T-ALL (e.g. PROM1, BCL2, LMO2, LYL1). In particular, stem cell associated genes such as, BAALC (2.52-fold, p=0.003), IGFBP7 (2.76-fold, p=0.002) or MN1 (3.41-fold, p<0.001) were upregulated in ETP-ALL, whereas HOX11 (45-fold, p=0.004), a marker for thymic T-ALL, was downregulated. An independent cohort of 297 patient samples from the GMALL study group was examined by flow cytometry and real-time PCR. 19 (6.4%) samples revealed the ETP-ALL immunophenotype. As expected, all patient samples were found in the group of early T-ALL, representing 23.5% of all early T-ALLs. There was a significant correlation between a lower leukocyte count at first diagnosis and the classification of ETP-ALL (p=0.001). Gene expression measured by real-time-PCR was performed for genes associated with poor outcome in T-ALL: BAALC (2.11-fold, p<0.001) and IGFBP7 (3.59-fold, p=0.003) were significantly upregulated in the group of ETP-ALL. Similarly, the genes MN1 (4.52-fold, p<0.001) and WT1 (2.76-fold, p=0.036), described as poor prognostic markers in cytogenetically normal AML, were also upregulated in ETP-ALL. Conclusion: In adult T-ALL, a subset of patients shares the gene expression profil and immunophenotype of ETP-ALL, which is in line with recent findings in pediatric patients. The gene expression profile of this subset is significantly correlated to stem cell associated markers predictive for inferior outcome in T-ALL. Interestingly, adverse factors in CN-AML are also aberrantly expressed in ETP-ALL suggesting a myeloid origin of ETPs and indicating a closer relationship between ETP-ALL and AML. The prognostic impact and the determination of the most appropiate set of markers needs to be further investigated. These results support the GMALL strategy to regard early T-ALL patients as high risk with assignment to stem cell transplantation. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Equity Ownership.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5548-5548
Author(s):  
Rosalia Di Stefano ◽  
Elena Baiamonte ◽  
Melania Lo Iacono ◽  
Barbara Spina ◽  
Flavia Contino ◽  
...  

Abstract Introduction: Genetic modification of autologous hematopoietic stem and progenitor cells (HSPC) is a promising clinical intervention to cure inherited monogenic diseases. Successful gene therapy trials have already been conducted using CD34+ cells from bone marrow and from mobilized peripheral blood. In this regard, cord blood (CB) represents an attractive source of HSCs due to its high concentration of high proliferative HSPC and increased susceptibility to be transduced by lentiviral vectors. Unfortunately, the major disadvantage is the limited number of HSC in the CB collection. Consequently, ex-vivo expansion of CB-HSC is desirable to extend clinical applications. Purposes: To investigate the ability of UCB-cd34+ cells to be expanded in serum-free media supplemented with the early acting hematopoietic cytokines SCF,TPO and Flt-3 ligant (STF) and to characterize CD34+ cells subtypes, clonogenic capacity and gene expression profile during expansion. We also wanted to investigate the susceptibility of the expanded cd34+ cells to be transduced by a GFP-lentiviral vector (LV-GFP) Material and Methods: CD34+ immunoselected cells from 10 UCB were grown for 8 days in customized serum-free medium formulated for HSC expansion, supplemented with STF cytokines. Numbers end frequency of CD34+cells and co-expression of the primitive surface antigens (CD38, CD133, CD90) was evaluated during expansion. Colonies developed in methylcellulose were scored for enumeration ad typing. LV-GFP transduction efficiency was evaluated in CD34+ cells cultured for 4 days in expansion medium plus STF and for 24 hrs in X-vivo10 medium with STF±IL-3 cytokines; the last condition slightly expands CD34+ cells (1.3 fold) and are currently used for HSPC-lentivector transduction in gene therapy clinical trials. The transduction efficiency was evaluated by measuring the percentage of GFP+ cells in the bulk and in colonies developed in methylcellulose and the VCN/cell by Q-PCR. Gene expression profiles were analyzed by human whole genome Agilent microarray Technology to detect differentially expressed genes between expanded, ex-vivo medium cultured and un-cultured cells. Results: We found an average of 8 fold-increase CD34+cells at day 4 and of 22 fold- increase at day 8 of culture. The frequency of CD34+ was maintained at day 4 and declined of about 50% at day 8. CD34+/CD38- early progenitors doublet as early as day 4, differences in CD34+/CD133+ and CD34+/CD90+cells were not significant. The number of CFU slightly increased during expansion while the relative frequency of colonies type did not significantly changed. Four days expanded CD34+ cells were transduced more efficiently than those grown in ex-vivo medium even in presence of IL-3 added to the STF cytokine cocktail. Comprehensive gene expression profile analysis highlighted about 4000 genes differentially expressed in CD34+ cells expanded for 4 and for 8 days compared to that of the un-cultured cells. Conversely, the expression profiles analysis did not show any clear separation between different cell culture methods (expansion vs ex-vivo medium). Specifically, the number of differentially expressed genes in common between the different culture conditions compared with the un-cultured cells was statistically significant. Unsurprisingly, the common up-regulated genes were related to the cell cycle. The likeness between the gene expression profiles of the different culture conditions was also validated by the identification of a significantly small number of differentially expressed genes between them. Conclusions: UCB-CD34+ cells can be efficiently expanded and transduced in serum free conditions. The expanded cells exhibited phenotypic marchers typical of early progenitors and developed colonies in number and in type similar to the unmanipulated cells and exhibited whole gene expression profile that is consisted with that of CD34+ cells exposed for the short term culture conditions currently used in gene therapy trial mediated by lentiviral vectors. Results from this study open a window on the future possibility of using homologous UCB-HSC as target for gene correction in patients diagnosed for a genetic disorder in prenatal time. The genetically modified cells would be stored and used for gene therapy in the same individual in pediatric age. This work was funded by the F and P Cutino Foundation - Project RiMedRi CUP G73F12000150004 Disclosures No relevant conflicts of interest to declare.


2004 ◽  
Vol 22 (6) ◽  
pp. 994-998 ◽  
Author(s):  
Ana Fernandez-Teijeiro ◽  
Rebecca A. Betensky ◽  
Lisa M. Sturla ◽  
John Y.H. Kim ◽  
Pablo Tamayo ◽  
...  

Purpose Stratification of risk in patients with medulloblastoma remains a challenge. As clinical parameters have been proven insufficient for accurately defining disease risk, molecular markers have become the focus of interest. Outcome predictions on the basis of microarray gene expression profiles have been the most accurate to date. We ask in a multivariate model whether clinical parameters enhance survival predictions of gene expression profiles. Patients and Methods In a cohort of 55 young patients (whose medulloblastoma samples have been analyzed previously for gene expression profile), associations between clinical and gene expression variables and survival were assessed using Cox proportional hazards models. Available clinical variables included age, stage (ie, the presence of disseminated disease at diagnosis), sex, histologic subtype, treatment, and status. Results Univariate analysis demonstrated expression profiles to be the only significant clinical prognostic factor (P = .03). In multivariate analysis, gene expression profiles predicted outcome independent of other criteria. Clinical criteria did not significantly contribute additional information for outcome predictions, although an exploratory analysis noted a trend for decreased survival of patients with metastases at diagnosis but favorable gene expression profile. Conclusion Gene expression profiling predicts medulloblastoma outcome independent of clinical variables. These results need to be validated in a larger prospective study.


2021 ◽  
Vol 11 ◽  
Author(s):  
Chun Yang ◽  
Si-Jia Chen ◽  
Bo-Wen Chen ◽  
Kai-Wen Zhang ◽  
Jing-Jie Zhang ◽  
...  

Sporamin, a proteinase inhibitor isolated from the sweet potato (Ipomoea batatas), has shown promising anticancer effect against colorectal cancer (CRC) in vitro and in vivo but its mechanisms of action are poorly understood. In the present study, high throughput RNA sequencing (RNA-seq) technology was applied to explore the transcriptomic changes induced by sporamin in the presence of thapsigargin (TG), a non-12-O-tetradecanolphorbol-13-acetate type cancer promoter, in the LoVo human CRC cells. Cellular total RNA was extracted from the cells after they were treated with vehicle (CTL), 1 μM of thapsigargin (TG), or 1 μM of TG plus 30 μM of sporamin (TGSP) for 24 h. The migratory capacity of the cells was determined by wound healing assay. The gene expression profiles of the cells were determined by RNA-seq on an Illumina platform. GO enrichment analysis, KEGG pathway analysis, protein-protein interaction (PPI) network construction, and transcription factors (TF) prediction were all performed based on the differentially expressed genes (DEGs) across groups with a series of bioinformatics tools. Finally, the effect and potential molecular targets of the sporamin at the transcriptome level were evaluated. Sporamin significantly inhibited the migration of cells induced by TG. Among the 17915 genes detected in RNA-seq, 46 DEGs were attributable to the effect of sporamin. RT-PCR experiment validated that the expression of RGPD2, SULT1A3, and BIVM-ERCC5 were up-regulated while NYP4R, FOXN1, PAK6, and CEACAM20 were down-regulated. Sporamin enhanced the mineral absorption pathway, worm longevity regulating pathway, and pyrimidine metabolism pathway. Two TFs (SMIM11A and ATOH8) were down-regulated by sporamin. HMOX1 (up-regulated) and NME1-NME2 (down-regulated) were the main nodes in a PPI network consisting of 16 DEGs that were modulated by sporamin in the presence of TG. Sporamin could favorably alter the gene expression profile of CRC cells, up-regulating the genes that contribute to the homeostasis of intracellular metal ions and the activities of essential enzymes and DNA damage repairment. More studies are warranted to verify its effect on specific genes and delineate the mechanism of action implicated in the process.


2021 ◽  
pp. 002203452110497
Author(s):  
Y. Chiba ◽  
K. Yoshizaki ◽  
T. Tian ◽  
K. Miyazaki ◽  
D. Martin ◽  
...  

Organ development is dictated by the regulation of genes preferentially expressed in tissues or cell types. Gene expression profiling and identification of specific genes in organs can provide insights into organogenesis. Therefore, genome-wide analysis is a powerful tool for clarifying the mechanisms of development during organogenesis as well as tooth development. Single-cell RNA sequencing (scRNA-seq) is a suitable tool for unraveling the gene expression profile of dental cells. Using scRNA-seq, we can obtain a large pool of information on gene expression; however, identification of functional genes, which are key molecules for tooth development, via this approach remains challenging. In the present study, we performed cap analysis of gene expression sequence (CAGE-seq) using mouse tooth germ to identify the genes preferentially expressed in teeth. The CAGE-seq counts short reads at the 5′-end of transcripts; therefore, this method can quantify the amount of transcripts without bias related to the transcript length. We hypothesized that this CAGE data set would be of great help for further understanding a gene expression profile through scRNA-seq. We aimed to identify the important genes involved in tooth development via bioinformatics analyses, using a combination of scRNA-seq and CAGE-seq. We obtained the scRNA-seq data set of 12,212 cells from postnatal day 1 mouse molars and the CAGE-seq data set from postnatal day 1 molars. scRNA-seq analysis revealed the spatiotemporal expression of cell type–specific genes, and CAGE-seq helped determine whether these genes are preferentially expressed in tooth or ubiquitously. Furthermore, we identified candidate genes as novel tooth-enriched and dental cell type–specific markers. Our results show that the integration of scRNA-seq and CAGE-seq highlights the genes important for tooth development among numerous gene expression profiles. These findings should contribute to resolving the mechanism of tooth development and establishing the basis for tooth regeneration in the future.


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