RNA-seq of NOMO-1 cell line
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Illumina HiSeq 2500
ORGANISM(S): Homo sapiens
SUBMITTER: Claudia Pommerenke
PROVIDER: E-MTAB-8010 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:For many years, immortalized cell lines have been used as model systems for cancer research. Cell line panels were established for basic research and drug development, but did not cover the full spectrum of leukemia and lymphoma. Therefore, we now developed a novel panel (LL-100), 100 cell lines covering 22 entities of human leukemia and lymphoma including T-cell, B-cell and myeloid malignancies. Importantly, all cell lines are unequivocally authenticated and assigned to the correct tissue. Cell line samples were proven to be free of mycoplasma and virus contamination. Whole exome sequencing (WES) and RNA sequencing (RNA-seq) of the hundred authenticated leukemia-lymphoma cell lines were conducted with a uniform methodology to complement existing data on these publicly available cell lines. This part captures RNA-Seq. This data set will be useful for understanding the function of oncogenes and tumor suppressor genes and to develop targeted therapies.
2019-05-28 | E-MTAB-7721 | biostudies-arrayexpress
Project description:Small molecule inhibitors of the bromodomain and extraterminal (BET) family of proteins are in clinical trials for a variety of cancers, but patient selection strategies are limited. This is due in part to the heterogeneity of response following BET inhibition (BETi), which includes differentiation, senescence, and cell death in subsets of cancer cell lines. To elucidate the dominant features defining response to BETi, we carried out phenotypic and gene expression analysis of both treatment naïve cell lines and engineered tolerant lines. We found that both de novo and acquired tolerance to BET inhibition are driven by the robustness of the apoptotic response and that genetic or pharmacological manipulation of the apoptotic signaling network can modify the phenotypic response to BETi. We further identify that ordered expression of the apoptotic genes BCL2, BCL2L1, and BAD significantly predicts response to BETi. Our findings highlight the role of the apoptotic network in response to BETi, providing a molecular basis for patient stratification and combination therapies. Gene expression profiling of A375 melanoma cells or NOMO-1 AML cells treated with DMSO or the BET inhibitor, CPI203. Also, gene expression profiling of the respective derived BETi-tolerant cells treated with DMSO or CPI203.
2016-01-07 | E-GEOD-69383 | biostudies-arrayexpress
Project description:Retaining the mutational pattern of tumors, immortalized cell lines represent excellent tools for the molecular study of genetic aberrations. Tumors can consist of subclones which develop under selective forces driven by mutational alterations. This explains why after therapy, relapsed clones can be genetically distinct from clones at diagnosis. We analyzed the mutational patterns of pairs of cell lines raised at early and late phases of development from patients with a hematopoietic tumor named pre-B acute lymphoblastic leukemia (ALL). All cell lines tested showed mutations that typically occur in this tumor. We also observed clonal differences in sister cell lines, genetic aberrations developing during disease progression. Especially noteworthy was the presence of two mutations which are hitherto undescribed in cell lines.
2021-12-02 | E-MTAB-11039 | biostudies-arrayexpress
Project description:For many years, immortalized cell lines have been used as model systems for cancer research. Cell line panels were established for basic research and drug development, but did not cover the full spectrum of leukemia and lymphoma. Therefore, we now developed a novel panel (LL-100), 100 cell lines covering 22 entities of human leukemia and lymphoma including T-cell, B-cell and myeloid malignancies. Importantly, all cell lines are unequivocally authenticated and assigned to the correct tissue. Cell line samples were proven to be free of mycoplasma and virus contamination. Whole exome sequencing (WES) and RNA sequencing (RNA-seq) of the hundred authenticated leukemia-lymphoma cell lines were conducted with a uniform methodology to complement existing data on these publicly available cell lines. This part captures WES. This data set will be useful for understanding the function of oncogenes and tumor suppressor genes and to develop targeted therapies.
2019-05-28 | E-MTAB-7722 | biostudies-arrayexpress
Project description:Acute myeloid leukemia (AML) and acute T-lymphoblastic leukemia (T-ALL) maintain the undifferentiated phenotype and proliferative capacity of their respective cells of origin, hematopoietic stem/progenitor cells and immature thymocytes. The mechanisms that maintain these progenitor-like characteristics are poorly understood. We report that the transcription factor Zfx is required for the development and propagation of experimental AML caused by MLL-AF9 fusion, and of T-ALL caused by Notch1 activation. In both leukemia types, Zfx activated progenitor-associated gene expression programs and prevented differentiation. Key Zfx target genes included mitochondrial enzymes Ptpmt1 and Idh2, whose overexpression partially rescued the propagation of Zfx-deficient AML. These studies identify a common mechanism that controls the cell-of-origin characteristics of acute leukemias derived from disparate lineages and transformation mechanisms. NOMO-1 cells were infected with control and ZFX shRNA lentiviruses at an MOI of 1. RNA was collected for microarrays 48 hours after selection.
2015-01-01 | E-GEOD-43021 | biostudies-arrayexpress
Project description:Homeobox genes encode transcription factors regulating basic processes in cell differentiation during embryogenesis and in the adult. Recently, we have reported the NKL-code which describes physiological expression patterns of nine NKL homeobox genes in early hematopoiesis and in lymphopoiesis including main stages of T-, B- and NK-cell development. Aberrant activity of NKL homeobox genes is involved in the generation of hematological malignancies including T-cell leukemia. Here, we searched for deregulated NKL homeobox genes in main entities of T-cell lymphomas comprising peripheral T-cell lymphoma (PTCL), angioimmunoblastic T-cell lymphoma (AITL), anaplastic large cell lymphoma (ALCL), adult T-cell leukemia/lymphoma (ATLL), hepatospleenic T-cell lymphoma (HSTL), and NK/T-cell lymphoma (NKTL). Our data revealed in all types altogether 19 aberrantly overexpressed genes, demonstrating that deregulated NKL homeobox genes play a significant role in T-cell lymphomas as well. For detailed analyses we focused on NKL homeobox gene MSX1 which is normally expressed in NK-cells and aberrantly activated in T-cell leukemia. This gene was overexpressed in subsets of HSTL patients and HSTL-derived sister cell lines DERL-2 and DERL-7 which served as models to identify mechanisms of deregulation. We performed genomic and expression profiling and whole genome sequencing and revealed mutated and deregulated gene candidates including the fusion gene CD53-PDGFRB exclusively expressed in DERL-2. Subsequent knockdown experiments allowed the construction of an aberrant network involved in MSX1 deregulation containing chromatin factors AUTS2 and H3B/H3.1, PDGF- and BMP-signalling pathways, and homeobox genes NKX2-2 and PITX1. The gene encoding AUTS2 is located at 7q11 and may represent a basic target of the HSTL hallmark aberration i(7q). Our data indicate both oncogenic and tumor suppressor functions of MSX1 in HSTL, reflecting its activity in early lineage differentiation of T- and NK-cells and the presence of NK-cell like characteristics in malignant HSTL cells. In this context, NKL homeobox gene MSX1 may represent a selective target in HSTL tumor evolution. Together, the data highlight an oncogenic role of deregulated NKL homeobox genes in T-cell lymphoma and identified MSX1 as a novel player in HSTL, involved in aberrant NK- and T-cell differentiation.
2019-11-01 | E-MTAB-7734 | biostudies-arrayexpress
Project description:Single-shot proteome analysis of 4 AML cell lines; 2 selinexor sensitive cell lines (GDM-1, MV4-11) and 2 resistant cell lines (NOMO-1 and PL-21) and ex vivo AML cells from 30 patients treated with DMSO (B; before treatment) or 1 uM selinexor (A; after treatment) for 6 hours.
2022-08-07 | PXD033515 | Pride
Project description:Retaining the mutational pattern of tumors, immortalized cell lines represent excellent tools for the molecular study of genetic aberrations. Tumors can consist of subclones which develop under selective forces driven by mutational alterations. This explains why after therapy, relapsed clones can be genetically distinct from clones at diagnosis. We analyzed the mutational patterns of pairs of cell lines raised at early and late phases of development from patients with a hematopoietic tumor named pre-B acute lymphoblastic leukemia (ALL). All cell lines tested showed mutations that typically occur in this tumor. We also observed clonal differences in sister cell lines, genetic aberrations developing during disease progression. Especially noteworthy was the presence of two mutations which are hitherto undescribed in cell lines.
2021-12-02 | E-MTAB-11038 | biostudies-arrayexpress
Project description:We used mass spectrometry-based proteomics to perform a phosphoproteomics analysis of selinexor-treated ex vivo AML patient samples (n=20) and 4 AML cell lines (PL-21, NOMO-1, GDM-1 and MV4-11). For quantitative phosphoproteomics, we used a tandem mass tag (TMT)-based approach. Conditions for the TMT 11-plex (Ex vivo samples) and TMT 8-plex (AML cell lines) setups are specified below. Cells were treated with 1 M selinexor (also known as KPT-330) or 0.1% DMSO for 6 hours. The experimental treatment conditions and TMT11-plex (ex vivo samples) and TMT8-plex (cell lines) labeling schemes are specified below: TMT-11-plex TMT channel Patient no Treatment Set 1 126 Ex_24 DMSO Set 1 127N Ex_24 Selinexor Set 1 127C Ex_25 DMSO Set 1 128N Ex_25 Selinexor Set 1 128C Ex_34 DMSO Set 1 129N Ex_34 Selinexor Set 1 129C Ex_41 DMSO Set 1 130N Ex_41 Selinexor Set 1 130C Ex_44 DMSO Set 1 131N Ex_44 Selinexor Set 1 131C Mix pool Mix pool Set 2 126 Ex_9 DMSO Set 2 127N Ex_9 Selinexor Set 2 127C Ex_18 DMSO Set 2 128N Ex_18 Selinexor Set 2 128C Ex_27 DMSO Set 2 129N Ex_27 Selinexor Set 2 129C Ex_29 DMSO Set 2 130N Ex_29 Selinexor Set 2 130C Ex_36 DMSO Set 2 131N Ex_36 Selinexor Set 2 131C Mix pool Mix pool Set 3 126 Ex_8 DMSO Set 3 127N Ex_8 Selinexor Set 3 127C Ex_13 DMSO Set 3 128N Ex_13 Selinexor Set 3 128C Ex_14 DMSO Set 3 129N Ex_14 Selinexor Set 3 129C Ex_19 DMSO Set 3 130N Ex_19 Selinexor Set 3 130C Ex_40 DMSO Set 3 131N Ex_40 Selinexor Set 3 131C Mix pool Mix pool Set 4 126 Ex_6 DMSO Set 4 127N Ex_6 Selinexor Set 4 127C Ex_15 DMSO Set 4 128N Ex_15 Selinexor Set 4 128C Ex_28 DMSO Set 4 129N Ex_28 Selinexor Set 4 129C Ex_39 DMSO Set 4 130N Ex_39 Selinexor Set 4 130C Ex_42 DMSO Set 4 131N Ex_42 Selinexor Set 4 131C Mix pool Mix pool AML cell lines: TMT-8-plex TMT channel Treatment Replicate GDM-1 126 DMSO 1 GDM-1 127N DMSO 2 GDM-1 127C DMSO 3 GDM-1 128N DMSO 4 GDM-1 128C Selinexor 1 GDM-1 129N Selinexor 2 GDM-1 129C Selinexor 3 GDM-1 130N Selinexor 4 MV4-11 126 DMSO 1 MV4-11 127N DMSO 2 MV4-11 127C DMSO 3 MV4-11 128N DMSO 4 MV4-11 128C Selinexor 1 MV4-11 129N Selinexor 2 MV4-11 129C Selinexor 3 MV4-11 130N Selinexor 4 NOMO-1 126 DMSO 1 NOMO-1 127N DMSO 2 NOMO-1 127C DMSO 3 NOMO-1 128N DMSO 4 NOMO-1 128C Selinexor 1 NOMO-1 129N Selinexor 2 NOMO-1 129C Selinexor 3 NOMO-1 130N Selinexor 4 PL-21 126 DMSO 1 PL-21 127N DMSO 2 PL-21 127C DMSO 3 PL-21 128N DMSO 4 PL-21 128C Selinexor 1 PL-21 129N Selinexor 2 PL-21 129C Selinexor 3 PL-21 130N Selinexor 4
2022-08-07 | PXD017660 | Pride
Project description:Patients suffering from chronic lymphocytic leukemia (CLL) display highly diverse clinical courses ranging from indolent cases to aggressive disease with genetic and epigenetic features resembling this diversity. Here, we developed a comprehensive approach combining a variety of molecular and clinical data to identify translocation events disrupting long-range chromatin interactions and causing cancer-relevant transcriptional deregulation. Thereby, we identified a B cell specific cis-regulatory element restricting the expression of genes in the associated locus, including PRMT5 and DAD1, two factors with oncogenic potential. Examining the role of PRMT5 in CLL identified transcriptional programs associated with pathways of stress tolerance and growth support, maintaining MYC-driven gene expression in vivo and in vitro. Conversely, inhibition of PRMT5 impairs factors involved in DNA-repair and sensitizes cells for apoptosis. Finally, we show that artificial deletion of the regulatory element from its endogenous context resulted in upregulation of corresponding genes, including PRMT5. Furthermore, such disruption renders PRMT5 transcription vulnerable to additional stimuli and subsequently also alters the expression of downstream PRMT5 targets.
2020-08-19 | E-MTAB-8219 | biostudies-arrayexpress