A KMT2A-AFF1 gene regulatory network highlights the role of core transcription factors and reveals the regulatory logic of key downstream target genes [CRISPR sgRNA screen]
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ABSTRACT:
PROVIDER: PRJNA635663 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11868363_1.fastq.gz | Fastqsanger.gz | |||
| SRR11868363_2.fastq.gz | Fastqsanger.gz | |||
| SRR11868364_1.fastq.gz | Fastqsanger.gz | |||
| SRR11868364_2.fastq.gz | Fastqsanger.gz | |||
| SRR11868365_1.fastq.gz | Fastqsanger.gz |
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Project description:Regulatory interactions mediated by transcription factors (TFs) make up complex networks that control cellular behavior. Fully understanding these gene regulatory networks (GRNs) offers greater insight into the consequences of disease-causing perturbations than can be achieved by studying single TF binding events in isolation. Chromosomal translocations of the lysine methyltransferase 2A (KMT2A) produce KMT2A fusion proteins such as KMT2A-AFF1 (also known as MLL-AF4), causing poor prognosis acute lymphoblastic leukemias (ALLs) that sometimes relapse as acute myeloid leukemias (AMLs). KMT2A-AFF1 is thought to drive leukemogenesis through direct binding and inducing aberrant overexpression of key gene targets, such as the anti-apoptotic factor BCL2 and the proto-oncogene MYC. However, studying direct binding alone doesn’t allow for network generated regulatory outputs, including the indirect induction of gene repression. To better understand the KMT2A-AFF1 driven regulatory landscape, we integrated ChIP-seq, patient RNA-seq and CRISPR essentiality screens to generate a model GRN. This GRN identified several key transcription factors, including RUNX1, that regulate target genes downstream of KMT2A-AFF1 using feed-forward loop (FFL) and cascade motifs. A core set of nodes are present in both ALL and AML, and CRISPR screening revealed several factors that help mediate response to the drug venetoclax. Using our GRN, we then identified an KMT2A-AFF1:RUNX1 cascade that represses CASP9, as well as KMT2A-AFF1 driven FFLs that regulate BCL2 and MYC through combinatorial TF activity. This illustrates how our GRN can be used to better connect KMT2A-AFF1 behavior to downstream pathways that contribute to leukemogenesis, and potentially predict shifts in gene expression that mediate drug response.
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Project description:Regulatory interactions mediated by transcription factors (TFs) make up complex networks that control cellular behavior. Fully understanding these gene regulatory networks (GRNs) offers greater insight into the consequences of disease-causing perturbations than can be achieved by studying single TF binding events in isolation. Chromosomal translocations of the lysine methyltransferase 2A (KMT2A) produce KMT2A fusion proteins such as KMT2A-AFF1 (also known as MLL-AF4), causing poor prognosis acute lymphoblastic leukemias (ALLs) that sometimes relapse as acute myeloid leukemias (AMLs). KMT2A-AFF1 is thought to drive leukemogenesis through direct binding and inducing aberrant overexpression of key gene targets, such as the anti-apoptotic factor BCL2 and the proto-oncogene MYC. However, studying direct binding alone doesn’t allow for network generated regulatory outputs, including the indirect induction of gene repression. To better understand the KMT2A-AFF1 driven regulatory landscape, we integrated ChIP-seq, patient RNA-seq and CRISPR essentiality screens to generate a model GRN. This GRN identified several key transcription factors, including RUNX1, that regulate target genes downstream of KMT2A-AFF1 using feed-forward loop (FFL) and cascade motifs. A core set of nodes are present in both ALL and AML, and CRISPR screening revealed several factors that help mediate response to the drug venetoclax. Using our GRN, we then identified an KMT2A-AFF1:RUNX1 cascade that represses CASP9, as well as KMT2A-AFF1 driven FFLs that regulate BCL2 and MYC through combinatorial TF activity. This illustrates how our GRN can be used to better connect KMT2A-AFF1 behavior to downstream pathways that contribute to leukemogenesis, and potentially predict shifts in gene expression that mediate drug response.
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Project description:A KMT2A-AFF1 gene regulatory network highlights the role of core transcription factors and reveals the regulatory logic of key downstream target genes.
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Project description:A KMT2A-AFF1 gene regulatory network highlights the role of core transcription factors and reveals the regulatory logic of key downstream target genes [RNA-seq]
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Project description:KMT2A-rearranged acute lymphoblastic leukemia (ALL) is an aggressive type of leukemia which represents the most common form diagnosed in infancy. Oncogenic KMT2A-fusion proteins recruit histone methyltransferase DOT1L which leads to misplaced H3K79 methylation inducing an abnormal transcriptomic landscape that favors leukemia development. Hence, inhibition of DOT1L represents an attractive therapeutic strategy. Unfortunately, the first-in-class DOT1L inhibitor pinometostat resulted in the development of resistance. To understand this resistance we established acquired resistance to DOT1L inhibition in a pediatric KMT2A::AFF1+ B-ALL cell line model that stably became ~35-fold more resistant to pinometostat. Interestingly, while becoming almost completely independent of DOT1L-mediated H3K79 methylation, these cells remained fully dependent on the physical presence of DOT1L, HOXA9, as well as the KMT2A::AFF1 fusion protein. Further characterization of these cells using RNA-, ChIP-, and ATAC-sequencing analyses revealed that acquired resistance to DOT1L inhibition leads to a selective loss of KMT2A-fusion driven epigenetic regulation and expression of genes such as PROM1 (encoding the hematopoietic/leukemia stem cell marker CD133) and its enhancer TAPT1, as well as other putative KMT2A::AFF1 target genes such as RUNX2, PRSS12, ZC3H12, and GNAQ. In contrast, the levels of H3K79me2 and expression of other KMT2A::AFF1 target genes, including HOXA9, MEIS1, and CDK6 remained unaffected. Concomitantly, pinometostat-resistant KMT2A::AFF1+ B-ALL cells showed upregulation of genes associated with a myeloid immunophenotype, including CD33, LILRB4/CD85k, MPEG1, CCL5, and LIMK1. Taken together, we here present a valuable model to study the adaptive potential of KMT2A-rearranged ALL upon losing dependency on one of its main oncogenic properties.
2023-09-27 | GSE230806 | GEO
Project description:KMT2A-rearranged acute lymphoblastic leukemia (ALL) is an aggressive type of leukemia which represents the most common form diagnosed in infancy. Oncogenic KMT2A-fusion proteins recruit histone methyltransferase DOT1L which leads to misplaced H3K79 methylation inducing an abnormal transcriptomic landscape that favors leukemia development. Hence, inhibition of DOT1L represents an attractive therapeutic strategy. Unfortunately, the first-in-class DOT1L inhibitor pinometostat resulted in the development of resistance. To understand this resistance we established acquired resistance to DOT1L inhibition in a pediatric KMT2A::AFF1+ B-ALL cell line model that stably became ~35-fold more resistant to pinometostat. Interestingly, while becoming almost completely independent of DOT1L-mediated H3K79 methylation, these cells remained fully dependent on the physical presence of DOT1L, HOXA9, as well as the KMT2A::AFF1 fusion protein. Further characterization of these cells using RNA-, ChIP-, and ATAC-sequencing analyses revealed that acquired resistance to DOT1L inhibition leads to a selective loss of KMT2A-fusion driven epigenetic regulation and expression of genes such as PROM1 (encoding the hematopoietic/leukemia stem cell marker CD133) and its enhancer TAPT1, as well as other putative KMT2A::AFF1 target genes such as RUNX2, PRSS12, ZC3H12, and GNAQ. In contrast, the levels of H3K79me2 and expression of other KMT2A::AFF1 target genes, including HOXA9, MEIS1, and CDK6 remained unaffected. Concomitantly, pinometostat-resistant KMT2A::AFF1+ B-ALL cells showed upregulation of genes associated with a myeloid immunophenotype, including CD33, LILRB4/CD85k, MPEG1, CCL5, and LIMK1. Taken together, we here present a valuable model to study the adaptive potential of KMT2A-rearranged ALL upon losing dependency on one of its main oncogenic properties.
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Project description:KMT2A-rearranged acute lymphoblastic leukemia (ALL) is an aggressive type of leukemia which represents the most common form diagnosed in infancy. Oncogenic KMT2A-fusion proteins recruit histone methyltransferase DOT1L which leads to misplaced H3K79 methylation inducing an abnormal transcriptomic landscape that favors leukemia development. Hence, inhibition of DOT1L represents an attractive therapeutic strategy. Unfortunately, the first-in-class DOT1L inhibitor pinometostat resulted in the development of resistance. To understand this resistance we established acquired resistance to DOT1L inhibition in a pediatric KMT2A::AFF1+ B-ALL cell line model that stably became ~35-fold more resistant to pinometostat. Interestingly, while becoming almost completely independent of DOT1L-mediated H3K79 methylation, these cells remained fully dependent on the physical presence of DOT1L, HOXA9, as well as the KMT2A::AFF1 fusion protein. Further characterization of these cells using RNA-, ChIP-, and ATAC-sequencing analyses revealed that acquired resistance to DOT1L inhibition leads to a selective loss of KMT2A-fusion driven epigenetic regulation and expression of genes such as PROM1 (encoding the hematopoietic/leukemia stem cell marker CD133) and its enhancer TAPT1, as well as other putative KMT2A::AFF1 target genes such as RUNX2, PRSS12, ZC3H12, and GNAQ. In contrast, the levels of H3K79me2 and expression of other KMT2A::AFF1 target genes, including HOXA9, MEIS1, and CDK6 remained unaffected. Concomitantly, pinometostat-resistant KMT2A::AFF1+ B-ALL cells showed upregulation of genes associated with a myeloid immunophenotype, including CD33, LILRB4/CD85k, MPEG1, CCL5, and LIMK1. Taken together, we here present a valuable model to study the adaptive potential of KMT2A-rearranged ALL upon losing dependency on one of its main oncogenic properties.
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Project description:Regulatory interactions mediated by transcription factors (TFs) make up complex networks that control cellular behavior. Fully understanding these gene regulatory networks (GRNs) offers greater insight into the consequences of disease-causing perturbations than can be achieved by studying single TF binding events in isolation. Chromosomal translocations of the lysine methyltransferase 2A (KMT2A) gene produce KMT2A fusion proteins such as KMT2A-AFF1 (previously MLL-AF4), causing poor prognosis acute lymphoblastic leukemias (ALLs) that sometimes relapse as acute myeloid leukemias (AMLs). KMT2A-AFF1 drives leukemogenesis through direct binding and inducing the aberrant overexpression of key genes, such as the anti-apoptotic factor BCL2 and the proto-oncogene MYC However, studying direct binding alone does not incorporate possible network-generated regulatory outputs, including the indirect induction of gene repression. To better understand the KMT2A-AFF1-driven regulatory landscape, we integrated ChIP-seq, patient RNA-seq, and CRISPR essentiality screens to generate a model GRN. This GRN identified several key transcription factors such as RUNX1 that regulate target genes downstream of KMT2A-AFF1 using feed-forward loop (FFL) and cascade motifs. A core set of nodes are present in both ALL and AML, and CRISPR screening revealed several factors that help mediate response to the drug venetoclax. Using our GRN, we then identified a KMT2A-AFF1:RUNX1 cascade that represses CASP9, as well as KMT2A-AFF1-driven FFLs that regulate BCL2 and MYC through combinatorial TF activity. This illustrates how our GRN can be used to better connect KMT2A-AFF1 behavior to downstream pathways that contribute to leukemogenesis, and potentially predict shifts in gene expression that mediate drug response.
| S-EPMC8256865 | biostudies-literature