Transcriptome profiling of Bmi1 silenced-K562 CML cell line
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Kevin Lebrigand
PROVIDER: E-GEOD-54262 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:The Bmi1 Polycomb protein is involved in the epigenetic repressive control of self renewal and survival of cancer initiating cells. In Chronic Myeloid Leukemia (CML), bmi1 expression increases gradually as the disease progresses from a chronic latent phase to a deadly blast crisis. We developped an inducible shRNA system to silence Bmi1 in the human K562 chronic myeloid leukemia (CML) cell line in order to identify new Bmi1-target genes.
2015-05-12 | GSE54262 | GEO
Project description:To identify the mechanisms controlling chronic myeloid leukemia (CML) and acute myeloid leukemia (AML) in humans, we analyzed genome-wide transcription dynamics in three myeloid leukemia cell lines (K562, HL-60, and THP1) using high-throughput sequencing technology. Using KEGG analysis, we found that the ERK/MAPK, JAK-STAT and ErbB pathways promoted proliferation and metabolism in CML. However, in AML, differentiation and apoptosis blocking resulted in the accumulation of blast cells in marrow. In addition, each cell type had unique characteristics. K562 cells are an ideal model for studying erythroid differentiation and globin gene expression. The chemokine signaling pathway and Fc gamma R-mediated phagocytosis were markedly upregulated in HL-60 cells. In THP1 cells, highly expressed genes ensured strong phagocytosis by monocytes. Further, we provide a new insight into myeloid development. The abundant data sets and well-defined analysis methods will provide a resource and strategy for further investigation of myeloid leukemia. Compare mRNA transcriptomes of three different cell lines
2013-10-09 | E-GEOD-46164 | biostudies-arrayexpress
Project description:Generating hematopoietic stem cells from pluripotent stem cells (PSC) has been a long lasting quest in the field of hematology. Previous studies suggested that the enforced expression of BCR-ABL, the oncogenic driver of chronic myeloid leukemia (CML), in hematopoietic cells derived from mouse embryonic stem cells (ESCs) is sufficient to confer on them in vivo long-term repopulating potential. To uncover more precisely the events regulated by BCR-ABL expression during the course of ESC differentiation, we engineered a doxycycline inducible system to modulate BCR-ABL expression.
2023-03-07 | GSE198018 | GEO
Project description:Chronic myeloid leukemia (CML) epitomizes successful targeted therapy, with 86% of patients in the chronic phase treated with tyrosine kinase inhibitors (TKIs) attaining remission. However, resistance to TKIs occurs during treatment, and patients with resistance to TKIs progress to the acute phase called Blast Crisis (BC), wherein the survival is restricted to 7-11 months. About 80 % of patients in BC are unresponsive to TKIs. This issue can be addressed by identifying a molecular signature which can predict resistance in CML-CP prior to treatment as well as by delineating the molecular mechanism underlying resistance. Herein, we report genomic analysis of CML patients and imatinib-resistant K562 cell line to achieve the same. WGS was performed on imatinib-sensitive and -resistant K562 cells. Library preparation was done by 30x WGS KAPA PCR-Free v2.1 kit, and Illumina HiSeq X sequencer was used for 2 x 150 bp paired-end sequencing. Our study identified accumulation of aberrations on chromosomes 1, 3, 7, 16 and 22 as predictive of occurrence of resistance. Further, recurrent amplification in chromosomal region 8q11.2-12.1 was detected in highly resistant K562 cells as well as CML patients. The genes present in this region were analyzed to understand molecular mechanism of imatinib resistance.
2024-01-01 | E-MTAB-11896 | biostudies-arrayexpress
Project description:Moore2004 - Chronic Myeloid Leukemic cells
and T-lymphocytes interaction
A mathematical model for the
interaction of between cancer cells and immune system, involving
CML cancer cells, naive and effector T-lymphocytes.
This model is described in the article:
A mathematical model for
chronic myelogenous leukemia (CML) and T cell interaction.
Moore H, Li NK.
J. Theor. Biol. 2004 Apr; 227(4):
513-523
Abstract:
In this paper, we propose and analyse a mathematical model
for chronic myelogenous leukemia (CML), a cancer of the blood.
We model the interaction between naive T cells, effector T
cells, and CML cancer cells in the body, using a system of
ordinary differential equations which gives rates of change of
the three cell populations. One of the difficulties in modeling
CML is the scarcity of experimental data which can be used to
estimate parameters values. To compensate for the resulting
uncertainties, we use Latin hypercube sampling (LHS) on large
ranges of possible parameter values in our analysis. A major
goal of this work is the determination of parameters which play
a critical role in remission or clearance of the cancer in the
model. Our analysis examines 12 parameters, and identifies two
of these, the growth and death rates of CML, as critical to the
outcome of the system. Our results indicate that the most
promising research avenues for treatments of CML should be
those that affect these two significant parameters (CML growth
and death rates), while altering the other parameters should
have little effect on the outcome.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000662.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2019-07-12 | BIOMD0000000662 | BioModels
Project description:To identify the mechanisms controlling chronic myeloid leukemia (CML) and acute myeloid leukemia (AML) in humans, we analyzed genome-wide transcription dynamics in three myeloid leukemia cell lines (K562, HL-60, and THP1) using high-throughput sequencing technology. Using KEGG analysis, we found that the ERK/MAPK, JAK-STAT and ErbB pathways promoted proliferation and metabolism in CML. However, in AML, differentiation and apoptosis blocking resulted in the accumulation of blast cells in marrow. In addition, each cell type had unique characteristics. K562 cells are an ideal model for studying erythroid differentiation and globin gene expression. The chemokine signaling pathway and Fc gamma R-mediated phagocytosis were markedly upregulated in HL-60 cells. In THP1 cells, highly expressed genes ensured strong phagocytosis by monocytes. Further, we provide a new insight into myeloid development. The abundant data sets and well-defined analysis methods will provide a resource and strategy for further investigation of myeloid leukemia.
2013-10-09 | GSE46164 | GEO
Project description:Aberrantly expressed long noncoding RNAs (lncRNAs) have been described in diverse human diseases and cancer development. Chronic myeloid leukemia (CML) is a hematological malignancy induced by Bcr-Abl hybrid gene. Owing to the development of tyrosine kinase inhibitors (TKIs), especially the first-generation Imatinib, over 90% of CML patients can be cured in recent years. Here we attempt to identify Imatinib-inducible lncRNAs associated with CML by analyzing lncRNA expression profiles in K562 cells after Imatinib or control treatment. LncRNA microarray analysis revealed that numerous lncRNAs were differentially expressed in K562 cells after Imatinib treatment. In this study, we focus on a conserved, Imatinib-inducible lncRNA (IIR) family, named lncRNA-IIRX. Upregulation of lncRNA-IIRX has been detected in both human and mouse Abl-transformed cell lines after Imatinib treatment. Interestingly, lncRNA-IIRX levels were significantly lower in leukemic cells derived from Bcr-Abl-positive ALL patients than those in normal control group. Furthermore, altering lncRNA-IIRX expression remarkably affected survival of Abl-transformed leukemic cells, and tumorigensis induced by these leukemic cells in xenograft mouse model. Knockdown of lncRNA-IIRX in transgenic mice significantly promoted Bcr-Abl-mediated primary bone marrow transformation, and leukemia development in leukemia mouse model. These results indicate that lncRNA-IIRX functions as a suppressor gene in Bcr-Abl-induced tumorigenesis, and may provide novel insights into complicated mechanisms underlying cellular transformation by Bcr-Abl oncogene. This microarray was performed to identify Imatinib-inducible lncRNAs associated with CML.
2019-04-17 | GSE119770 | GEO
Project description:Identification of differentially expressed genes in the blood of chronic phase patients with chronic myeloid leukemia (CML) harboring different bcr-abl transcript variants. All leukemic samples were collected prior to therapy at the time point of the initial diagnosis of CML.
2008-12-31 | E-MEXP-862 | biostudies-arrayexpress
Project description:Our objective is to decipher a miRNA expression signature associated with Chronic myeloid leukemia (CML), with or without Imatinib or Dasatinib and compared to normal blood leukocytes, and to determine potential target genes and signaling pathways affected by these signature miRNAs. Background/Aims: MicroRNAs (miRNAs) are short non-coding regulatory RNAs that control gene expression and play an important role in cancer development and progression. However, little is known about the role of miRNAs in chronic myeloid leukemia (CML). Our objective is to decipher a miRNA expression signature associated with CML and to determine potential target genes and signaling pathways affected by these signature miRNAs. Results: Using miRNA microarrays we characterized the miRNAs expression profile of K562 cells in reference to healthy blood. We also looked into the expression profile of K562 cells treated with imatinib or dasatinib. We identified a miRNA signature that distinguishes K562 cells from healthy blood that included downregulation of miRNAs such as miR-31, miR-34a, miR-143, miR-145, miR-155, miR-196b and miR-564 and upregulation of miR-128. We also identified a miRNA signature that distinguishes untreated K562 cells from the treated ones that included downregulation of miRNAs such as miR-128 and upregulation of miR-564. Results: Using miRNA microarrays we characterized the miRNAs expression profile of K562 cells in reference to healthy blood. We also looked into the expression profile of K562 cells treated with imatinib or dasatinib. We identified a miRNA signature that distinguishes K562 cells from healthy blood that included downregulation of miRNAs such as miR-31, miR-34a, miR-143, miR-145, miR-155, miR-196b and miR-564 and upregulation of miR-128. We also identified a miRNA signature that distinguishes untreated K562 cells from the treated ones that included downregulation of miRNAs such as miR-128 and upregulation of miR-564. We next analyzed predicted targets and affected pathways of the deregulated miRNAs. Reassuringly, the analysis identified CML as the main disease associated with these miRNAs. MAPK, TGF-beta and Wnt were the main molecular pathways related with these expression patterns. Utilizing Venn diagrams we found appreciable overlap between the CML-related miRNAs and the MAPK and TGF-beta signaling pathways and focal adhesion-related miRNAs. Conclusions: The miRNAs identified in this study might offer a pivotal role in CML. Nevertheless, while these data point to a central disease, the precise molecular pathway/s targeted by these miRNAs is variable implying a high level of complexity of miRNA target selection and regulation. These deregulated miRNAs highlight new candidate gene targets allowing for a better understanding of the molecular mechanism underlying the development of CML, and propose possible new avenues for therapeutic treatment. MiRNA profiling of CML: With the objective of deciphering a potential miRNA expression signature associated with CML, we analyzed the miRNAs expression profile of K562 in reference to a pool of 3 healthy blood samples using an miRNA-based microarray chip assay. In addition, to search for Bcr-Abl-dependent or Src-dependant miRNA expression patterns, K562 cells were treated or not with imatinib or with dasatinib to inhibit Bcr-Abl tyrosine kinase activity or Bcr-Abl and Src tyrosine kinase activity, respectively. In order to validate the microarray data and to ensure that the variability observed among samples was not technical, we carried out Taqman miRNA quantitative real-time PCR analysis (Applied Biosystems, USA) on miRNAs that we find to be most relevant, according to bioinformatics analysis (see below) and published data.
2011-10-20 | E-GEOD-28825 | biostudies-arrayexpress
Project description:Chronic myeloid leukemia (CML) epitomizes successful targeted therapy, with 86% of patients in the chronic phase treated with tyrosine kinase inhibitors (TKIs) attaining remission. However, resistance to TKIs occurs during treatment, and patients with resistance to TKIs progress to the acute phase called Blast Crisis (BC), wherein the survival is restricted to 7-11 months. About 80 % of patients in BC are unresponsive to TKIs. This issue can be addressed by identifying a molecular signature which can predict resistance in CML-CP prior to treatment as well as by delineating the molecular mechanism underlying resistance. Herein, we report genomic analysis of CML patients and imatinib-resistant K562 cell line to achieve the same. Thirteen CML patients (sensitive and resistant to TKIs) and 2 BMT donors (as control) were recruited for the study. DNA was isolated from an enriched CD34+ fraction for each sample as well as from K562 cells made resistant to imatinib which provided a model system for further molecular investigations. DNA was subjected to Cytoscan HD array (Affymatrix) analysis from patient samples and cell lines. Affymetrix CytoScan™ HD array (Applied Biosystems™, Cat# 901835) chip consists of 2.6 M oligonucleotide probes across the genome, including 1953K unique non-polymorphic probes and 750K bi-allelic SNP (single nucleotide polymorphism) probes. Our study identified accumulation of aberrations on chromosomes 1, 3, 7, 16 and 22 as predictive of occurrence of resistance. Further, recurrent amplification in chromosomal region 8q11.2-12.1 was detected in highly resistant K562 cells as well as CML patients. The genes present in this region were analyzed to understand molecular mechanism of imatinib resistance.
2024-01-01 | E-MTAB-11899 | biostudies-arrayexpress