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SRP130950
Danio rerio
20 Downloadable Samples
IlluminaHiSeq2000
Description
Subclassification of lymphoid neoplasms is often based on the presumed cell of origin based on T and B progenitor gene expression and the effect of cell lineage on influencing functional characteristics such as aggression and self-renewal capacity is largely unknown, accounted for in part, by lack of experimental models to address these questions. Here, we have used transgenic zebrafish to create the first models of Myc-induced B-ALL and mixed phenotypic B/T-ALL, opening new avenues for studying the these leukemias in the zebrafish. Our work has utilized syngeneic strain zebrafish, limiting dilution cell transplantation, and the widely reported rag2-Myc transgenic model to provide new understanding of how strain differences can underlie leukemia onset in the zebrafish model. Even more importantly, our work now for the first time, has allowed assessment of cell lineage on dictating aggression and leukemia stem cell frequency independent of the underlying oncogenic driver. In total, our work uncoveres that T-ALLs are more aggressive and have higher numbers of leukemia stem cells when compared with B-ALL and mixed phenotypic ALL. Furthermore, analysis of our biphenotypic B/T-ALL suggests that B cell pathways lock cells in less aggressive and lower stem cell fates and are dominant in regulating these processes when T cell pathways are co-regulated within ALL cells. Overall design: The goal of our study is to determine the transcriptional profiles of high and low self-renewing capacity tumors. 20 samples total: 11 unique samples (9 samples with biological replicates), 6 high self-renewing tumors (>1% cells could initiate leukemia) and 5 low self-renewing tumors (<1% of cells could initiate leukemia).
Publication Title
Cell of origin dictates aggression and stem cell number in acute lymphoblastic leukemia.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 9 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We used an inducible ShRNA system and microarrays to detail the global programme of gene expression underlying neuroblastoma differentiation upon CHAF1A silencing .
Publication Title
Histone chaperone CHAF1A inhibits differentiation and promotes aggressive neuroblastoma.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Comparison of normal neuroblasts with malignant neuroblastomas (low- and high-stage)
Publication Title
Human fetal neuroblast and neuroblastoma transcriptome analysis confirms neuroblast origin and highlights neuroblastoma candidate genes.
Sample Metadata Fields
Sex, Specimen part, Disease, Disease stage, Subject
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
JoMa1 cells are pluripotent precursor cells, derived from the neural crest of mice transgenic for tamoxifen-inducible c-Myc. Following transfection with a cDNA encoding for MYCN, cells become immortlized even in the absence of tamoxifen.
Publication Title
MYCN and ALKF1174L are sufficient to drive neuroblastoma development from neural crest progenitor cells.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 402 Downloadable Samples
- IlluminaGenomeAnalyzer
Description
Purpose: The purpose of this study is to identify functionally inter-connected group of miRNAs whose reduced expression promotes leukemia development in vivo. We searched for relevant target genes of these miRNAs that are upregulated in T-ALL relative to controls. Methods: In order to examine the global gene expression, we generated 9 T-ALL patients and 4 normal controls by deep sequencing using Illumina Hi-Seq sequencer. The sequence reads that passed quality filters were analyzed using Spliced Transcripts Alignment to a Reference aligner (STAR) followed by differential gene expression analysis using DESeq. Results: Using an optimized data analysis workflow, we mapped reads per sample to the human genome (build hg19) and identified transcripts in both patient and controls with STAR workflow. We applied a machine learning approach to eliminate targets with redundant miRNA-mediated control. This strategy finds a convergence on the Myb oncogene and less prominent effects on the Hpb1 transcription factor. The abundance of both genes is increased in T-ALL and each can promote T-ALL in vivo. Conclusion: Our study reveals a Myc regulated network of tumor suppressor miRNAs in T-ALL. We identified a small number of functionally validated tumor suppressor miRNAs. These miRNAs are repressed upon Myc activation and this links their expression directly to Myb a key oncogenic driver in T-ALL. Overall design: Examination of global gene expression in 9 T-ALL patients and 4 normal controls using total RNA sequencing. BaseMeanA in DESeq_results.xlsx is the control.
Publication Title
Characterization of a set of tumor suppressor microRNAs in T cell acute lymphoblastic leukemia.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 31 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Neuroblastoma is an embryonal neoplasm that remains of dramatic prognosis in its aggressive forms. Activating mutations of the ALK tyrosine kinase receptor have been identified in sporadic and familial cases of this cancer. We generated knock-in mice carrying the two most frequent Alk mutations observed in neuroblastoma patients. We used microarrays to detail the global programme of gene expression underlying the impact of ALK mutations on neuroblastoma formation in a MYCN amplified background.
Publication Title
Activated Alk triggers prolonged neurogenesis and Ret upregulation providing a therapeutic target in ALK-mutated neuroblastoma.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 16 Downloadable Samples
- NextSeq 500
Description
Long intergenic non-coding RNAs (lincRNAs) are emerging as integral components of signaling pathways in various cancer types. In neuroblastoma, only a handful of lincRNAs are known as upstream regulators or downstream effectors of oncogenes. Here, we exploit RNA sequencing data of primary neuroblastoma tumors, neuroblast precursor cells, neuroblastoma cell lines and various cellular perturbation model systems to define the neuroblastoma lincRNome and map lincRNAs up- and downstream of neuroblastoma driver genes MYCN, ALK and PHOX2B. Each of these driver genes controls the expression of a particular subset of lincRNAs, several of which are associated with poor survival and are differentially expressed in neuroblastoma tumors compared to neuroblasts. By integrating RNA sequencing data from both primary tumor tissue and cancer cell lines, we demonstrate that several of these lincRNAs are expressed in stromal cells. Deconvolution of primary tumor gene expression data revealed a strong association between stromal cell composition and driver gene status, resulting in differential expression of these lincRNAs. We also explored lincRNAs that putatively act upstream of neuroblastoma driver genes, either as presumed modulators of driver gene activity, or as modulators of effectors regulating driver gene expression. This analysis revealed strong associations between the neuroblastoma lincRNAs MIAT and MEG3 and MYCN and PHOX2B activity or expression. Together, our results provide a comprehensive catalogue of the neuroblastoma lincRNome, highlighting lincRNAs up- and downstream of key neuroblastoma driver genes. This catalogue forms a solid basis for further functional validation of candidate neuroblastoma lincRNAs. Overall design: CLB-GA was transduced with control or inducible shPHOX2B. The cells were treated with doxycycline for 5 days.
Publication Title
Integrative analysis identifies lincRNAs up- and downstream of neuroblastoma driver genes.
Sample Metadata Fields
Cell line, Treatment, Subject
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Amplification of MYCN is the most prominent genetic marker of high-stage neuroblastoma, a childhood tumor originating from the neural crest. We generated a cell line (mNB-A1) from tumors developed in transgenic mouse and treated these cells with DMSO (n=6), the BRD4-inhibitor JQ1 (n=3) or the AURKA-inhibitor MLN8237 (n=3) for 24 h.
Publication Title
A Cre-conditional MYCN-driven neuroblastoma mouse model as an improved tool for preclinical studies.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Amplification of MYCN is the most prominent genetic marker of high-stage neuroblastoma, a childhood tumor originating from the neural crest.
Publication Title
A Cre-conditional MYCN-driven neuroblastoma mouse model as an improved tool for preclinical studies.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 57 Downloadable Samples
- NextSeq 500
Description
T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive type of blood cancer resulting from malignant transformation of T-cell precursors. Several oncogenes, including the 'T-cell leukemia homeobox 1' TLX1 (HOX11) transcription factor, have been identified as early driver events that cooperate with other genetic aberrations in leukemic transformation of progenitor T-cells. The TLX1 controlled transcriptome in T-ALL has been investigated extensively in the past in terms of protein-coding genes, but remains unexplored thus far at the level of long non-coding RNAs (lncRNAs), the latter renown as well-established versatile and key players implicated in various cancer hallmarks. In this study, we present the first extensive analysis of the TLX1 regulated transcriptome focusing on lncRNA expression patterns. We present an integrative analysis of polyA and total RNA sequencing of ALL-SIL lymphoblasts with perturbed TLX1 expression and a primary T-ALL patient cohort (including 5 TLX1+ and 12 TLX3+ cases). We expanded our initially presented dataset of TLX1 and H3K27ac ChIP data in ALL-SIL cells (Durinck et al., Leukemia, 2015) with H3K4me1, H3K4me3, and ATAC-seq data to accurately define (super-) enhancer marked lncRNAs and assigned potential functional annotations to candidate TLX1-controlled lncRNAs through an in silico guilt-by-association approach. Our study paves the way for further functional analysis of selected lncRNAs as potential novel therapeutic targets for a precision medicine approach in the context of T-ALL. Overall design: polyA+ RNA-seq data was generated for a primary T-ALL patient cohort
Publication Title
A comprehensive inventory of TLX1 controlled long non-coding RNAs in T-cell acute lymphoblastic leukemia through polyA+ and total RNA sequencing.
Sample Metadata Fields
Subject
View Samples