The Challenge of Using CB-HSCs As Source for Gene Therapy: Lentiviral Vector Transduction, Phenotypic Characterization and Global Gene Expression Profile of Ex-Vivo Expanded CB CD34+ Cells

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5548-5548
Author(s):  
Rosalia Di Stefano ◽  
Elena Baiamonte ◽  
Melania Lo Iacono ◽  
Barbara Spina ◽  
Flavia Contino ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Therapy ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Cultured Cells ◽  
Ex Vivo ◽  
Expression Profiles ◽  
Culture Conditions ◽  
Differentially Expressed ◽  
Cd34 Cells

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.

scholarly journals Gene Expression Profiles of Papillary Thyroid Microcarcinoma

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 ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profile ◽  
Differentially Expressed Genes ◽  
Expression Profile ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Papillary Thyroid Microcarcinoma ◽  
Papillary Thyroid ◽  
Normal Thyroid ◽  
Thyroid Microcarcinoma

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).

scholarly journals Gene Expression Profile of Megakaryocytes from Human Cord Blood CD34+Cells Ex Vivo Expanded by Thrombopoietin

Stem Cells ◽  
2002 ◽  
Vol 20 (5) ◽  
pp. 402-416 ◽  
Author(s):  
Jeong-Ah Kim ◽  
Yu-Jin Jung ◽  
Ju-Young Seoh ◽  
So-Youn Woo ◽  
Jeong-Sun Seo ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cord Blood ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Ex Vivo ◽  
Human Cord Blood ◽  
Cd34 Cells ◽  
Cord Blood Cd34

Regional variations in ABC transporter expression along the mouse intestinal tract

2004 ◽  
Vol 17 (1) ◽  
pp. 11-20 ◽  
Author(s):  
David M. Mutch ◽  
Pascale Anderle ◽  
Muriel Fiaux ◽  
Robert Mansourian ◽  
Karine Vidal ◽  
...  
Keyword(s):  
Gene Expression ◽  
Abc Transporter ◽  
Expression Profile ◽  
Abc Transporters ◽  
Intestinal Tract ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Assessment Model ◽  
Differentially Expressed ◽  
Distal Intestine

The ATP-binding cassette (ABC) family of proteins comprise a group of membrane transporters involved in the transport of a wide variety of compounds, such as xenobiotics, vitamins, lipids, amino acids, and carbohydrates. Determining their regional expression patterns along the intestinal tract will further characterize their transport functions in the gut. The mRNA expression levels of murine ABC transporters in the duodenum, jejunum, ileum, and colon were examined using the Affymetrix MuU74v2 GeneChip set. Eight ABC transporters (Abcb2, Abcb3, Abcb9, Abcc3, Abcc6, Abcd1, Abcg5, and Abcg8) displayed significant differential gene expression along the intestinal tract, as determined by two statistical models (a global error assessment model and a classic ANOVA, both with a P < 0.01). Concordance with semiquantitative real-time PCR was high. Analyzing the promoters of the differentially expressed ABC transporters did not identify common transcriptional motifs between family members or with other genes; however, the expression profile for Abcb9 was highly correlated with fibulin-1, and both genes share a common complex promoter model involving the NFκB, zinc binding protein factor (ZBPF), GC-box factors SP1/GC (SP1F), and early growth response factor (EGRF) transcription binding motifs. The cellular location of another of the differentially expressed ABC transporters, Abcc3, was examined by immunohistochemistry. Staining revealed that the protein is consistently expressed in the basolateral compartment of enterocytes along the anterior-posterior axis of the intestine. Furthermore, the intensity of the staining pattern is concordant with the expression profile. This agrees with previous findings in which the mRNA, protein, and transport function of Abcc3 were increased in the rat distal intestine. These data reveal regional differences in gene expression profiles along the intestinal tract and demonstrate that a complete understanding of intestinal ABC transporter function can only be achieved by examining the physiologically distinct regions of the gut.

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).

scholarly journals What Changed on the Folliculogenesis in the Process of Mouse Ovarian Aging?

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Wenlei Ye ◽  
Wei Shen ◽  
Wei Yan ◽  
Su Zhou ◽  
Jing Cheng ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Ovarian Function ◽  
Profile Analysis ◽  
Protein Stabilization ◽  
Differentially Expressed ◽  
Microarray Gene Expression ◽  
Primordial Follicles ◽  
Age Related

There are about 1-2 million follicles presented in the ovary at birth, while only around 1000 primordial follicles are left at menopause. The ovarian function also decreases in parallel with aging. Folliculogenesis is vital for ovarian function, no matter the synthesis of female hormones or ovulation, yet the mechanisms for its changing with increasing age are not fully understood. Early follicle growth up to the large preantral stage is independent of gonadotropins in rodents and relies on intraovarian factors. To further understand the age-related molecular changes in the process of folliculogenesis, we performed microarray gene expression profile analysis using total RNA extracted from young (9 weeks old) and old (32 weeks old) mouse ovarian secondary follicles. The results of our current microarray study revealed that there were 371 (≥2-fold, q-value ≤0.05) genes differentially expressed in which 174 genes were upregulated and 197 genes were downregulated in old mouse ovarian secondary follicles compared to young mouse ovarian secondary follicles. The gene ontology and KEGG pathway analysis of differentially expressed genes uncovered critical biological functions such as immune system process, aging, transcription, DNA replication, DNA repair, protein stabilization, and apoptotic process were affected in the process of aging. The considerable changes in gene expression profile may have an adverse influence on follicle quality and folliculogenesis. Our study provided information on the processes that may contribute to age-related decline in ovarian function.

Early T-Cell Precursor-ALL in Adult T-ALL.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 911-911 ◽  
Author(s):  
Martin Neumann ◽  
Sandra Heesch ◽  
Stefan Schwartz ◽  
Nicola Gökbuget ◽  
Dieter Hoelzer ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cell ◽  
Real Time ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Real Time Pcr ◽  
Expression Profiles ◽  
Lymphoblastic Leukemia ◽  
Gene Expression Profiles ◽  
Study Group

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.

Mirnas and Gene Expression Profiles in CD34+ Cells Are Dependent On the Source of Progenitor Cells Employed in Transplantation.

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3020-3020
Author(s):  
Alicia Báez ◽  
Beatriz Martin-Antonio ◽  
Concepción Prats-Martín ◽  
Isabel Álvarez-Laderas ◽  
María Victoria Barbado ◽  
...  
Keyword(s):  
Gene Expression ◽  
Conflicts Of Interest ◽  
Reference Group ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Embryonic Stem ◽  
Differentially Expressed ◽  
Expression Levels ◽  
Cd34 Cells ◽  
Different Sources

Abstract Abstract 3020 Introduction: Hematopoietic progenitors cells (HPCs) used in allogenic transplantation (allo-HSCT) may have different biological properties depending on their source of origin: mobilized peripheral blood (PB), bone marrow (BM) or umbilical cord (UC), which may be reflected in miRNAs or gene expression. The identification of different patterns of expression could have clinical implications. The aim of this study was to determine differences in miRNAs and gene expression patterns in the different sources of HPCs used in allo-HSCT. Materials and Method: CD34 + cells were isolated by immunomagnetic separation and sorting from 5 healthy donors per type of source: UC, BM and PB mobilized with G-CSF. A pool of samples from PB not mobilized was used as reference group. We analyzed the expression of 375 miRNAs using TaqMan MicroRNA Arrays Human v2.0 (Applied Biosystems), and gene expression using Whole Human Genome Oligo microarray kit 4×44K (Agilent). The expression levels of genes and miRNAs were obtained by the 2-ΔΔCTmethod. From expression data hierarchical clustering was performed using the Euclidean distance. To identify genes and miRNAs differentially expressed between the different sources of HPCs statistical Kruskal Wallis test was applied. All analysis were performed using the Multiexperiment Viewer 4.7.1. The function of the miRNAs and genes of interest was determined from the various databases available online (TAM database, Gene Ontology and TargetScan Human). Results: Forty-two miRNAs differentially expressed between the different sources were identified. As compared to BM or UC, in mobilized PB most miRNAs were overexpressed, including the miRNA family of miR515, which is characteristic of embryonic stem cells. On the other hand, 47 genes differentially expressed between the different sources were identified. Interestingly, a similar pattern of expression was observed between movilized PB and UC as compared to BM. Interestingly, 13 of these genes are targets of the miRNAs also identified in this study, which suggests that their expression might be regulated by these miRNAs. Conclusion: There are significant differences in miRNAs and gene expression levels between the different sources of HPCs Disclosures: No relevant conflicts of interest to declare.

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