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1.
Nat Commun ; 8(1): 218, 2017 08 09.
Article in English | MEDLINE | ID: mdl-28794406

ABSTRACT

Non-coding RNAs have emerged as crucial regulators of gene expression and cell fate decisions. However, their expression patterns and regulatory functions during normal and malignant human hematopoiesis are incompletely understood. Here we present a comprehensive resource defining the non-coding RNA landscape of the human hematopoietic system. Based on highly specific non-coding RNA expression portraits per blood cell population, we identify unique fingerprint non-coding RNAs-such as LINC00173 in granulocytes-and assign these to critical regulatory circuits involved in blood homeostasis. Following the incorporation of acute myeloid leukemia samples into the landscape, we further uncover prognostically relevant non-coding RNA stem cell signatures shared between acute myeloid leukemia blasts and healthy hematopoietic stem cells. Our findings highlight the importance of the non-coding transcriptome in the formation and maintenance of the human blood hierarchy.While micro-RNAs are known regulators of haematopoiesis and leukemogenesis, the role of long non-coding RNAs is less clear. Here the authors provide a non-coding RNA expression landscape of the human hematopoietic system, highlighting their role in the formation and maintenance of the human blood hierarchy.


Subject(s)
Hematopoiesis , Leukemia/metabolism , RNA, Untranslated/metabolism , Cell Lineage , Gene Expression Profiling , HEK293 Cells , Humans , RNA, Long Noncoding/physiology
2.
Clin Chem Lab Med ; 54(9): 1503-10, 2016 Sep 01.
Article in English | MEDLINE | ID: mdl-26910746

ABSTRACT

BACKGROUND: The distinction between reactive and neoplastic leukocytes, especially atypical lymphocytes suspected to be reactive or neoplastic, is a particular challenge in automated hematological cell differentiation. The aim of the study was to evaluate the performance of the XN analyzer supplemented with the WPC channel for differentiating between reactive and neoplastic leukocytosis. METHODS: Blood samples of 253 patients with viral infections, lymphoma or leukemia were analyzed by the Sysmex XN-2000 analyzer equipped with the WPC channel. The results were compared to routine leukocyte differentiation using the routine Sysmex XE-2100 analyzer and automated digital microscopy (DM96). The combined information from standard morphology, immune phenotyping and clinical diagnosis served as a reference. RESULTS: The XN WPC channel demonstrated an excellent performance for differentiating neoplastic (AUC=0.933) and reactive leukocytosis (AUC=0.900) as compared to morphological smear examination (AUC=0.949 and AUC=0.968, respectively) or to the differentiation results of our routine hematology analyzer (AUC=0.630 and AUC=0.635, respectively). CONCLUSIONS: Our data show that the combined WDF/WPC of the Sysmex XN-Series analyzer is advantageous in the automated differentiation of neoplastic and reactive leukocytosis, thus supporting the correct diagnostic decision in the daily laboratory routine.


Subject(s)
Cell Count/instrumentation , Leukemia/diagnosis , Leukocytes/pathology , Leukocytosis/diagnosis , Leukocytosis/pathology , Lymphoma/diagnosis , Automation , Cell Differentiation , Humans , Leukemia/blood , Leukemia/pathology , Leukocytosis/blood , Leukocytosis/virology , Lymphoma/blood , Lymphoma/pathology , Virus Diseases/blood , Virus Diseases/diagnosis , Virus Diseases/pathology
3.
Genes Dev ; 28(8): 858-74, 2014 Apr 15.
Article in English | MEDLINE | ID: mdl-24736844

ABSTRACT

Although regulation of stem cell homeostasis by microRNAs (miRNAs) is well studied, it is unclear how individual miRNAs genomically encoded within an organized polycistron can interact to induce an integrated phenotype. miR-99a/100, let-7, and miR-125b paralogs are encoded in two tricistrons on human chromosomes 11 and 21. They are highly expressed in hematopoietic stem cells (HSCs) and acute megakaryoblastic leukemia (AMKL), an aggressive form of leukemia with poor prognosis. Here, we show that miR-99a/100∼125b tricistrons are transcribed as a polycistronic message transactivated by the homeobox transcription factor HOXA10. Integrative analysis of global gene expression profiling, miRNA target prediction, and pathway architecture revealed that miR-99a/100, let-7, and miR-125b functionally converge at the combinatorial block of the transforming growth factor ß (TGFß) pathway by targeting four receptor subunits and two SMAD signaling transducers. In addition, down-regulation of tumor suppressor genes adenomatous polyposis coli (APC)/APC2 stabilizes active ß-catenin and enhances Wnt signaling. By switching the balance between Wnt and TGFß signaling, the concerted action of these tricistronic miRNAs promoted sustained expansion of murine and human HSCs in vitro or in vivo while favoring megakaryocytic differentiation. Hence, our study explains the high phylogenetic conservation of the miR-99a/100∼125b tricistrons controlling stem cell homeostasis, the deregulation of which contributes to the development of AMKL.


Subject(s)
Hematopoietic Stem Cells/metabolism , Homeostasis/genetics , MicroRNAs , Signal Transduction , Stem Cells/metabolism , Transforming Growth Factor beta/metabolism , Wnt Proteins/metabolism , Animals , Apoptosis/genetics , Down-Regulation , Erythropoiesis/genetics , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Genes, APC/physiology , Humans , Mice , Mice, Inbred C57BL , MicroRNAs/genetics , MicroRNAs/metabolism , Protein Binding , Thrombopoiesis/genetics , Wnt Proteins/genetics
4.
Genes Dev ; 24(15): 1659-72, 2010 Aug 01.
Article in English | MEDLINE | ID: mdl-20679399

ABSTRACT

Oncogene-mediated transformation of hematopoietic cells has been studied extensively, but little is known about the molecular basis for restriction of oncogenes to certain target cells and differential cellular context-specific requirements for oncogenic transformation between infant and adult leukemias. Understanding cell type-specific interplay of signaling pathways and oncogenes is essential for developing targeted cancer therapies. Here, we address the vexing issue of how developmental restriction is achieved in Down syndrome acute megakaryoblastic leukemia (DS-AMKL), characterized by the triad of fetal origin, mutated GATA1 (GATA1s), and trisomy 21. We demonstrate overactivity of insulin-like growth factor (IGF) signaling in authentic human DS-AMKL and in a DS-AMKL mouse model generated through retroviral insertional mutagenesis. Fetal but not adult megakaryocytic progenitors are dependent on this pathway. GATA1 restricts IGF-mediated activation of the E2F transcription network to coordinate proliferation and differentiation. Failure of a direct GATA1-E2F interaction in mutated GATA1s converges with overactive IGF signaling to promote cellular transformation of DS fetal progenitors, revealing a complex, fetal stage-specific regulatory network. Our study underscores context-dependent requirements during oncogenesis, and explains resistance to transformation of ostensibly similar adult progenitors.


Subject(s)
GATA1 Transcription Factor/metabolism , Leukemia, Megakaryoblastic, Acute/physiopathology , Megakaryocyte Progenitor Cells , Signal Transduction , Somatomedins/metabolism , Thrombopoiesis/physiology , Animals , Cell Differentiation , Cell Line, Tumor , Cell Proliferation , Cell Survival , Disease Models, Animal , Down Syndrome/physiopathology , E2F Transcription Factors/metabolism , Fetus , Gene Expression Regulation, Leukemic , Gene Knockdown Techniques , Genes, myc/genetics , Humans , Intracellular Signaling Peptides and Proteins/metabolism , K562 Cells , Leukemia, Megakaryoblastic, Acute/pathology , Megakaryocyte Progenitor Cells/cytology , Megakaryocyte Progenitor Cells/metabolism , Mice , Mutation , Protein Binding , Protein Serine-Threonine Kinases/metabolism , TOR Serine-Threonine Kinases , Transcription Factor DP1/genetics
5.
Genes Dev ; 24(5): 478-90, 2010 Mar 01.
Article in English | MEDLINE | ID: mdl-20194440

ABSTRACT

Children with trisomy 21/Down syndrome (DS) are at high risk to develop acute megakaryoblastic leukemia (DS-AMKL) and the related transient leukemia (DS-TL). The factors on human chromosome 21 (Hsa21) that confer this predisposing effect, especially in synergy with consistently mutated transcription factor GATA1 (GATA1s), remain poorly understood. Here, we investigated the role of Hsa21-encoded miR-125b-2, a microRNA (miRNA) overexpressed in DS-AMKL/TL, in hematopoiesis and leukemogenesis. We identified a function of miR-125b-2 in increasing proliferation and self-renewal of human and mouse megakaryocytic progenitors (MPs) and megakaryocytic/erythroid progenitors (MEPs). miR-125b-2 overexpression did not affect megakaryocytic and erythroid differentiation, but severely perturbed myeloid differentiation. The proproliferative effect of miR-125b-2 on MEPs accentuated the Gata1s mutation, whereas growth of DS-AMKL/TL cells was impaired upon miR-125b repression, suggesting synergism during leukemic transformation in GATA1s-mutated DS-AMKL/TL. Integrative transcriptome analysis of hematopoietic cells upon modulation of miR-125b expression levels uncovered a set of miR-125b target genes, including DICER1 and ST18 as direct targets. Gene Set Enrichment Analysis revealed that this target gene set is down-regulated in DS-AMKL patients highly expressing miR-125b. Thus, we propose miR-125b-2 as a positive regulator of megakaryopoiesis and an oncomiR involved in the pathogenesis of trisomy 21-associated megakaryoblastic leukemia.


Subject(s)
Chromosomes, Human, Pair 21/genetics , Gene Expression Regulation, Leukemic , Leukemia, Megakaryoblastic, Acute/metabolism , MicroRNAs/metabolism , Animals , Cell Differentiation/genetics , Cell Line , Cell Line, Tumor , Cell Proliferation , Computational Biology , DEAD-box RNA Helicases/genetics , Down Syndrome/complications , GATA1 Transcription Factor/genetics , Gene Expression/genetics , Gene Knockdown Techniques , Humans , K562 Cells , Leukemia, Megakaryoblastic, Acute/complications , Leukemia, Megakaryoblastic, Acute/genetics , Megakaryocyte Progenitor Cells/cytology , Megakaryocyte Progenitor Cells/metabolism , Mice , Mutation/genetics , RNA Interference , Repressor Proteins/genetics , Ribonuclease III/genetics
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