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1.
Cell Rep ; 39(4): 110752, 2022 04 26.
Article in English | MEDLINE | ID: mdl-35476984

ABSTRACT

High-risk forms of B-acute lymphoblastic leukemia (B-ALL) remain a therapeutic challenge. Leukemia-initiating cells (LICs) self-renew and spark relapse and therefore have been the subject of intensive investigation; however, the properties of LICs in high-risk B-ALL are not well understood. Here, we use single-cell transcriptomics and quantitative xenotransplantation to understand LICs in MLL-rearranged (MLL-r) B-ALL. Compared with reported LIC frequencies in acute myeloid leukemia (AML), engraftable LICs in MLL-r B-ALL are abundant. Although we find that multipotent, self-renewing LICs are enriched among phenotypically undifferentiated B-ALL cells, LICs with the capacity to replenish the leukemic cellular diversity can emerge from more mature fractions. While inhibiting oxidative phosphorylation blunts blast proliferation, this intervention promotes LIC emergence. Conversely, inhibiting hypoxia and glycolysis impairs MLL-r B-ALL LICs, providing a therapeutic benefit in xenotransplantation systems. These findings provide insight into the aggressive nature of MLL-r B-ALL and provide a rationale for therapeutic targeting of hypoxia and glycolysis.


Subject(s)
Leukemia, Myeloid, Acute , Precursor Cell Lymphoblastic Leukemia-Lymphoma , Glycolysis , Humans , Hypoxia , Leukemia, Myeloid, Acute/metabolism , Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics
2.
Leukemia ; 36(1): 58-67, 2022 01.
Article in English | MEDLINE | ID: mdl-34304246

ABSTRACT

Infants with MLL-rearranged infant acute lymphoblastic leukemia (MLL-r iALL) undergo intense therapy to counter a highly aggressive malignancy with survival rates of only 30-40%. The majority of patients initially show therapy response, but in two-thirds of cases the leukemia returns, typically during treatment. The glucocorticoid drug prednisone is established as a major player in the treatment of leukemia and the in vivo response to prednisone monotreatment is currently the best indicator of risk for MLL-r iALL. We used two different single-cell RNA sequencing technologies to analyze the expression of a prednisone-dependent signature, derived from an independent study, in diagnostic bone marrow and peripheral blood biopsies. This allowed us to classify individual leukemic cells as either resistant or sensitive to treatment and show that quantification of these two groups can be used to better predict the occurrence of future relapse in individual patients. This work also sheds light on the nature of the therapy-resistant subpopulation of relapse-initiating cells. Leukemic cells associated with high relapse risk are characterized by basal activation of glucocorticoid response, smaller size, and a quiescent gene expression program with cell stemness properties. These results improve current risk stratification and elucidate leukemic therapy-resistant subpopulations at diagnosis.


Subject(s)
Biomarkers, Tumor/genetics , Gene Rearrangement , Histone-Lysine N-Methyltransferase/genetics , Myeloid-Lymphoid Leukemia Protein/genetics , Neoplasm Recurrence, Local/pathology , Precursor Cell Lymphoblastic Leukemia-Lymphoma/pathology , Single-Cell Analysis/methods , Transcriptome , Adult , Child , Child, Preschool , Female , Follow-Up Studies , Gene Expression Regulation, Leukemic , Humans , Infant , Infant, Newborn , Male , Neoplasm Recurrence, Local/genetics , Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics , Prognosis , Survival Rate , Tumor Cells, Cultured
3.
Proc Natl Acad Sci U S A ; 118(5)2021 02 02.
Article in English | MEDLINE | ID: mdl-33500353

ABSTRACT

Neuroblastoma is the most common extracranial solid tumor and accounts for ∼10% of pediatric cancer-related deaths. The exact cell of origin has yet to be elucidated, but it is generally accepted that neuroblastoma derives from the neural crest and should thus be considered an embryonal malignancy. About 50% of primary neuroblastoma tumors arise in the adrenal gland. Here, we present an atlas of the developing mouse adrenal gland at a single-cell level. Five main cell cluster groups (medulla, cortex, endothelial, stroma, and immune) make up the mouse adrenal gland during fetal development. The medulla group, which is of neural crest origin, is further divided into seven clusters. Of interest is the Schwann cell precursor ("SCP") and the "neuroblast" cluster, a highly cycling cluster that shares markers with sympathoblasts. The signature of the medullary SCP cluster differentiates neuroblastoma patients based on disease phenotype: The SCP signature score anticorrelates with ALK and MYCN expression, two indicators of poor prognosis. Furthermore, a high SCP signature score is associated with better overall survival rates. This study provides an insight into the developing adrenal gland and introduces the SCP gene signature as being of interest for further research in understanding neuroblastoma phenotype.


Subject(s)
Adrenal Glands/pathology , Neuroblastoma/pathology , Schwann Cells/pathology , Single-Cell Analysis , Adrenal Medulla/pathology , Animals , Cell Aggregation , Gene Expression Regulation, Neoplastic , Humans , Mice, Inbred C57BL , Neoplasm Staging , Neural Stem Cells , Neuroblastoma/genetics , Phenotype
4.
Nat Commun ; 11(1): 1310, 2020 03 11.
Article in English | MEDLINE | ID: mdl-32161258

ABSTRACT

Kidney tumours are among the most common solid tumours in children, comprising distinct subtypes differing in many aspects, including cell-of-origin, genetics, and pathology. Pre-clinical cell models capturing the disease heterogeneity are currently lacking. Here, we describe the first paediatric cancer organoid biobank. It contains tumour and matching normal kidney organoids from over 50 children with different subtypes of kidney cancer, including Wilms tumours, malignant rhabdoid tumours, renal cell carcinomas, and congenital mesoblastic nephromas. Paediatric kidney tumour organoids retain key properties of native tumours, useful for revealing patient-specific drug sensitivities. Using single cell RNA-sequencing and high resolution 3D imaging, we further demonstrate that organoid cultures derived from Wilms tumours consist of multiple different cell types, including epithelial, stromal and blastemal-like cells. Our organoid biobank captures the heterogeneity of paediatric kidney tumours, providing a representative collection of well-characterised models for basic cancer research, drug-screening and personalised medicine.


Subject(s)
Biological Specimen Banks , Kidney Neoplasms/genetics , Kidney/pathology , Organoids/pathology , Adolescent , Carcinoma, Renal Cell/drug therapy , Carcinoma, Renal Cell/genetics , Carcinoma, Renal Cell/pathology , Cell Culture Techniques/methods , Child , Child, Preschool , DNA Methylation , Drug Screening Assays, Antitumor/methods , Female , Gene Expression Regulation, Neoplastic , Genetic Heterogeneity , Genotyping Techniques , Humans , Infant , Kidney Neoplasms/drug therapy , Kidney Neoplasms/pathology , Male , Nephroma, Mesoblastic/drug therapy , Nephroma, Mesoblastic/genetics , Nephroma, Mesoblastic/pathology , Netherlands , Precision Medicine/methods , RNA-Seq , Rhabdoid Tumor/drug therapy , Rhabdoid Tumor/genetics , Rhabdoid Tumor/pathology , Single-Cell Analysis , Transfection , Tumor Cells, Cultured , Whole Genome Sequencing , Wilms Tumor/drug therapy , Wilms Tumor/genetics , Wilms Tumor/pathology , Young Adult
5.
Nucleic Acids Res ; 47(16): e95, 2019 09 19.
Article in English | MEDLINE | ID: mdl-31226206

ABSTRACT

Cell type identification is essential for single-cell RNA sequencing (scRNA-seq) studies, currently transforming the life sciences. CHETAH (CHaracterization of cEll Types Aided by Hierarchical classification) is an accurate cell type identification algorithm that is rapid and selective, including the possibility of intermediate or unassigned categories. Evidence for assignment is based on a classification tree of previously available scRNA-seq reference data and includes a confidence score based on the variance in gene expression per cell type. For cell types represented in the reference data, CHETAH's accuracy is as good as existing methods. Its specificity is superior when cells of an unknown type are encountered, such as malignant cells in tumor samples which it pinpoints as intermediate or unassigned. Although designed for tumor samples in particular, the use of unassigned and intermediate types is also valuable in other exploratory studies. This is exemplified in pancreas datasets where CHETAH highlights cell populations not well represented in the reference dataset, including cells with profiles that lie on a continuum between that of acinar and ductal cell types. Having the possibility of unassigned and intermediate cell types is pivotal for preventing misclassification and can yield important biological information for previously unexplored tissues.


Subject(s)
Algorithms , Cell Lineage/genetics , High-Throughput Nucleotide Sequencing/methods , Neoplasms/genetics , RNA, Messenger/analysis , Sequence Analysis, RNA/statistics & numerical data , Single-Cell Analysis/methods , Acinar Cells/immunology , Acinar Cells/pathology , Base Sequence , Cell Lineage/immunology , Cluster Analysis , Datasets as Topic , Dendritic Cells/immunology , Dendritic Cells/pathology , Gene Expression Profiling , Humans , Neoplasms/immunology , Neoplasms/pathology , Organ Specificity , Pancreas/immunology , Pancreas/pathology , RNA, Messenger/genetics , Software , T-Lymphocytes/immunology , T-Lymphocytes/pathology , Tumor Cells, Cultured
6.
Mol Cell ; 72(6): 955-969.e7, 2018 12 20.
Article in English | MEDLINE | ID: mdl-30576657

ABSTRACT

The fidelity of transcription initiation is essential for accurate gene expression, but the determinants of start site selection are not fully understood. Rap1 and other general regulatory factors (GRFs) control the expression of many genes in yeast. We show that depletion of these factors induces widespread ectopic transcription initiation within promoters. This generates many novel non-coding RNAs and transcript isoforms with diverse stability, drastically altering the coding potential of the transcriptome. Ectopic transcription initiation strongly correlates with altered nucleosome positioning. We provide evidence that Rap1 can suppress ectopic initiation by a "place-holder" mechanism whereby it physically occludes inappropriate sites for pre-initiation complex formation. These results reveal an essential role for GRFs in the fidelity of transcription initiation and in the suppression of pervasive transcription, profoundly redefining current models for their function. They have important implications for the mechanism of transcription initiation and the control of gene expression.


Subject(s)
Gene Expression Regulation, Fungal , RNA, Fungal/biosynthesis , RNA, Messenger/biosynthesis , RNA, Untranslated/metabolism , Saccharomyces cerevisiae Proteins/metabolism , Saccharomyces cerevisiae/metabolism , Telomere-Binding Proteins/metabolism , Transcription Factors/metabolism , Transcription, Genetic , Binding Sites , Chromatin Assembly and Disassembly , Nucleosomes/genetics , Nucleosomes/metabolism , Promoter Regions, Genetic , Protein Binding , RNA, Fungal/genetics , RNA, Messenger/genetics , RNA, Untranslated/genetics , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae Proteins/genetics , Shelterin Complex , Telomere-Binding Proteins/genetics , Transcription Factors/genetics , Transcription Initiation Site , Transcription Initiation, Genetic
7.
Elife ; 72018 12 17.
Article in English | MEDLINE | ID: mdl-30556807

ABSTRACT

RNA polymerase (RNAPII) transcription occurs pervasively, raising the important question of its functional impact on other DNA-associated processes, including replication. In budding yeast, replication originates from Autonomously Replicating Sequences (ARSs), generally located in intergenic regions. The influence of transcription on ARSs function has been studied for decades, but these earlier studies have neglected the role of non-annotated transcription. We studied the relationships between pervasive transcription and replication origin activity using high-resolution transcription maps. We show that ARSs alter the pervasive transcription landscape by pausing and terminating neighboring RNAPII transcription, thus limiting the occurrence of pervasive transcription within origins. We propose that quasi-symmetrical binding of the ORC complex to ARS borders and/or pre-RC formation are responsible for pausing and termination. We show that low, physiological levels of pervasive transcription impact the function of replication origins. Overall, our results have important implications for understanding the impact of genomic location on origin function.


Subject(s)
DNA Replication/genetics , Origin Recognition Complex/genetics , Replication Origin/genetics , Saccharomyces cerevisiae/genetics , Transcription, Genetic , Binding Sites , Chromosome Mapping , Chromosomes, Fungal/genetics , DNA, Fungal/genetics , DNA, Fungal/metabolism , Models, Genetic , Origin Recognition Complex/metabolism , RNA Polymerase II/metabolism , Saccharomyces cerevisiae/metabolism , Saccharomyces cerevisiae Proteins/metabolism
8.
EMBO J ; 37(4)2018 02 15.
Article in English | MEDLINE | ID: mdl-29351914

ABSTRACT

Transcription termination delimits transcription units but also plays important roles in limiting pervasive transcription. We have previously shown that transcription termination occurs when elongating RNA polymerase II (RNAPII) collides with the DNA-bound general transcription factor Reb1. We demonstrate here that many different DNA-binding proteins can induce termination by a similar roadblock (RB) mechanism. We generated high-resolution transcription maps by the direct detection of RNAPII upon nuclear depletion of two essential RB factors or when the canonical termination pathways for coding and non-coding RNAs are defective. We show that RB termination occurs genomewide and functions independently of (and redundantly with) the main transcription termination pathways. We provide evidence that transcriptional readthrough at canonical terminators is a significant source of pervasive transcription, which is controlled to a large extent by RB termination. Finally, we demonstrate the occurrence of RB termination around centromeres and tRNA genes, which we suggest shields these regions from RNAPII to preserve their functional integrity.


Subject(s)
DNA-Binding Proteins/metabolism , RNA Polymerase II/metabolism , Saccharomyces cerevisiae Proteins/metabolism , Saccharomyces cerevisiae/genetics , Transcription Termination, Genetic , Transcription, Genetic , DNA-Binding Proteins/genetics , Genome, Fungal , RNA Polymerase II/genetics , RNA, Fungal , Saccharomyces cerevisiae Proteins/genetics
9.
Cell Discov ; 3: 17040, 2017.
Article in English | MEDLINE | ID: mdl-29071121

ABSTRACT

The Set1 family of histone H3 lysine 4 (H3K4) methyltransferases is highly conserved from yeast to human. Here we show that the Set1 complex (Set1C) directly binds RNA in vitro through the regions that comprise the double RNA recognition motifs (dRRM) and N-SET domain within Set1 and its subunit Spp1. To investigate the functional relevance of RNA binding, we performed UV RNA crosslinking (CRAC) for Set1 and RNA polymerase II in parallel with ChIP-seq experiments. Set1 binds nascent transcripts through its dRRM. RNA binding is important to define the appropriate topology of Set1C distribution along transcription units and correlates with the efficient deposition of the H3K4me3 mark. In addition, we uncovered that Set1 binds to different classes of RNAs to levels that largely exceed the levels of binding to the general population of transcripts, suggesting the Set1 persists on these RNAs after transcription. This class includes RNAs derived from SET1, Ty1 retrotransposons, specific transcription factors genes and snRNAs (small nuclear RNAs). We propose that Set1 modulates adaptive responses, as exemplified by the post-transcriptional inhibition of Ty1 retrotransposition.

10.
Elife ; 62017 08 25.
Article in English | MEDLINE | ID: mdl-28841135

ABSTRACT

In fission yeast, meiosis-specific transcripts are selectively eliminated during vegetative growth by the combined action of the YTH-family RNA-binding protein Mmi1 and the nuclear exosome. Upon nutritional starvation, the master regulator of meiosis Mei2 inactivates Mmi1, thereby allowing expression of the meiotic program. Here, we show that the E3 ubiquitin ligase subunit Not4/Mot2 of the evolutionarily conserved Ccr4-Not complex, which associates with Mmi1, promotes suppression of meiotic transcripts expression in mitotic cells. Our analyses suggest that Mot2 directs ubiquitination of Mei2 to preserve the activity of Mmi1 during vegetative growth. Importantly, Mot2 is not involved in the constitutive pathway of Mei2 turnover, but rather plays a regulatory role to limit its accumulation or inhibit its function. We propose that Mmi1 recruits the Ccr4-Not complex to counteract its own inhibitor Mei2, thereby locking the system in a stable state that ensures the repression of the meiotic program by Mmi1.


Subject(s)
Gene Expression Regulation, Fungal , Meiosis , Protein Processing, Post-Translational , Schizosaccharomyces pombe Proteins/metabolism , Schizosaccharomyces/growth & development , Ubiquitination , Protein Interaction Maps
11.
Biochimie ; 117: 28-36, 2015 Oct.
Article in English | MEDLINE | ID: mdl-25956976

ABSTRACT

Recent developments of microarrays and deep sequencing techniques have unveiled an unexpected complexity of the eukaryotic transcriptome, demonstrating that virtualy the entire genome is transcribed by RNA polymerase II (RNAPII). Transcription occurring outside of annotated regions is generally referred to as pervasive transcription and leads to the production of several classes of non-coding RNAs (ncRNAs). In this review we will discuss the metabolism and functional significance of these ncRNAs in the yeast Saccharomyces cerevisiae. We will discuss the mechanisms that the cell has adopted to prevent potentially disruptive interference between pervasive transcription and the expression of canonical genes. We will explore the possible reasons that justify the evolutionary conserved maintenance of extensive genomic transcription.


Subject(s)
RNA Polymerase II/metabolism , RNA, Untranslated/genetics , Saccharomyces cerevisiae Proteins/metabolism , Saccharomyces cerevisiae/genetics , Transcription, Genetic , Gene Expression Regulation, Fungal , Genome, Fungal/genetics , Models, Genetic , RNA, Fungal/genetics , RNA, Fungal/metabolism , RNA, Untranslated/metabolism , Saccharomyces cerevisiae/enzymology , Saccharomyces cerevisiae/metabolism
12.
Mol Cell ; 56(5): 667-80, 2014 Dec 04.
Article in English | MEDLINE | ID: mdl-25479637

ABSTRACT

Widely transcribed compact genomes must cope with the major challenge of frequent overlapping or concurrent transcription events. Efficient and timely transcription termination is crucial to control pervasive transcription and prevent transcriptional interference. In yeast, transcription termination of RNA polymerase II (RNAPII) occurs via two possible pathways that both require recognition of termination signals on nascent RNA by specific factors. We describe here an additional mechanism of transcription termination for RNAPII and demonstrate its biological significance. We show that the transcriptional activator Reb1p bound to DNA is a roadblock for RNAPII, which pauses and is ubiquitinated, thus triggering termination. Reb1p-dependent termination generates a class of cryptic transcripts that are degraded in the nucleus by the exosome. We also observed transcriptional interference between neighboring genes in the absence of Reb1p. This work demonstrates the importance of roadblock termination for controlling pervasive transcription and preventing transcription through gene regulatory regions.


Subject(s)
DNA-Binding Proteins/metabolism , RNA Polymerase II/metabolism , Saccharomyces cerevisiae Proteins/metabolism , Transcription Factors/metabolism , Transcription, Genetic , Binding Sites , Genome, Fungal , Models, Genetic , RNA Stability , RNA, Fungal/metabolism , RNA, Messenger/metabolism , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/metabolism , Ubiquitination
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