Forkhead Box Family Transcription Factors As Versatile Regulators for Cellular Reprogramming to Pluripotency
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Reproductionreview
REPRODUCTIONREVIEW Forkhead transcription factors in ovarian function Nina Henriette Uhlenhaut and Mathias Treier Max Delbru¨ck Center for Molecular Medicine, Robert Ro¨ssle Straße 10, 13125 Berlin-Buch, Germany Correspondence should be addressed to N H Uhlenhaut; Email: [email protected] Abstract Since the discovery of the conserved forkhead (Fkh) DNA binding domain more than 20 years ago, members of the Fkh or forkhead box (FOX) family of transcription factors have been shown to act as important regulators of numerous developmental and homeostatic processes. The human genome contains 44 Fkh genes, several of which have recently been reported to be essential for female fertility. In this review, we highlight the roles of specific FOX proteins in ovarian folliculogenesis and present our current understanding of their molecular function. In particular, we describe what we have learned from loss-of-function studies using mouse models as well as human genetics and illustrate how different stages of folliculogenesis, both in oocytes and in somatic granulosa and theca cells, are regulated by FOXC1, FOXL2, and FOXO subfamily members. Reproduction (2011) 142 489–495 Introduction stages of folliculogenesis. This transition is marked by oocyte growth and proliferation of the adjacent granu- Female fertility depends on a delicate balance of losa cells that become cuboidal. Antral follicles are hormonal stimuli and cellular interactions, which formed when fluid-filled spaces develop between the ultimately enable conception and a successful preg- multi-layered granulosa cells. During preantral to antral nancy. Current estimates state that 10–15% of couples transition, the oocyte resumes meiosis, and after worldwide remain childless due to infertility, with stimulation by pituitary gonadotropins, FSH, and LH, genetic etiology making up a significant proportion the mature oocyte is expelled from the follicle and moves (Matzuk & Lamb 2002). -
Further Delineation of Chromosomal Consensus Regions in Primary
Leukemia (2007) 21, 2463–2469 & 2007 Nature Publishing Group All rights reserved 0887-6924/07 $30.00 www.nature.com/leu ORIGINAL ARTICLE Further delineation of chromosomal consensus regions in primary mediastinal B-cell lymphomas: an analysis of 37 tumor samples using high-resolution genomic profiling (array-CGH) S Wessendorf1,6, TFE Barth2,6, A Viardot1, A Mueller3, HA Kestler3, H Kohlhammer1, P Lichter4, M Bentz5,HDo¨hner1,PMo¨ller2 and C Schwaenen1 1Klinik fu¨r Innere Medizin III, Zentrum fu¨r Innere Medizin der Universita¨t Ulm, Ulm, Germany; 2Institut fu¨r Pathologie, Universita¨t Ulm, Ulm, Germany; 3Forschungsdozentur Bioinformatik, Universita¨t Ulm, Ulm, Germany; 4Abt. Molekulare Genetik, Deutsches Krebsforschungszentrum, Heidelberg, Germany and 5Sta¨dtisches Klinikum Karlsruhe, Karlsruhe, Germany Primary mediastinal B-cell lymphoma (PMBL) is an aggressive the expression of BSAP, BOB1, OCT2, PAX5 and PU1 was extranodal B-cell non-Hodgkin’s lymphoma with specific clin- added to the spectrum typical of PMBL features.9 ical, histopathological and genomic features. To characterize Genetically, a pattern of highly recurrent karyotype alterations further the genotype of PMBL, we analyzed 37 tumor samples and PMBL cell lines Med-B1 and Karpas1106P using array- with the hallmark of chromosomal gains of the subtelomeric based comparative genomic hybridization (matrix- or array- region of chromosome 9 supported the concept of a unique CGH) to a 2.8k genomic microarray. Due to a higher genomic disease entity that distinguishes PMBL from other B-cell non- resolution, we identified altered chromosomal regions in much Hodgkin’s lymphomas.10,11 Together with less specific gains on higher frequencies compared with standard CGH: for example, 2p15 and frequent mutations of the SOCS1 gene, a notable þ 9p24 (68%), þ 2p15 (51%), þ 7q22 (32%), þ 9q34 (32%), genomic similarity to classical Hodgkin’s lymphoma was þ 11q23 (18%), þ 12q (30%) and þ 18q21 (24%). -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
Foxi3 Transcription Factors and Notch Signaling Control the Formation Of
Developmental Biology 307 (2007) 258–271 www.elsevier.com/locate/ydbio Foxi3 transcription factors and Notch signaling control the formation of skin ionocytes from epidermal precursors of the zebrafish embryo ⁎ Martina Jänicke a, Thomas J. Carney a, Matthias Hammerschmidt a,b, a Max-Planck-Institute of Immunobiology, Stuebeweg 51, D-79108 Freiburg, Germany b Institute for Developmental Biology, University of Cologne, Gyrhofstrasse 17, D-50923 Cologne, Germany Received for publication 3 January 2007; revised 30 March 2007; accepted 27 April 2007 Available online 3 May 2007 Abstract Ionocytes are specialized epithelial cell types involved in the maintenance of osmotic homeostasis. In amniotes, they are present in the renal system, while in water-living embryos of lower vertebrates additional ionocytes are found in the skin. Thus far, relatively little has been known about the mechanisms of ionocyte development. Here we demonstrate that skin ionocytes of zebrafish embryos derive from the same precursor cells as keratinocytes. Carrying out various combinations of gain- and loss-of-function studies, we show that the segregation of ionocytes from the epidermal epithelium is governed by an interplay between Notch signaling and two Forkhead-box transcription factors, Foxi3a and Foxi3b. The two foxi3 genes are expressed in ionocyte precursors and are required both for ionocyte-specific expression of the Notch ligand Jagged2a, and for ionocyte differentiation, characterized by the production of particular ATPases. Ionocytic Notch ligands, in turn, signal to neighboring cells, where activated Notch1 leads to a repression of foxi3 expression, allowing those cells to become keratinocytes. A model for ionocyte versus keratinocyte development will be presented, postulating additional thus far unidentified pro-ionocyte factors. -
Original Article Diagnostic and Prognostic Values of Forkhead Box D4 Gene in Colonic Adenocarcinoma
Int J Clin Exp Pathol 2020;13(10):2615-2627 www.ijcep.com /ISSN:1936-2625/IJCEP0117403 Original Article Diagnostic and prognostic values of forkhead box D4 gene in colonic adenocarcinoma Qiu-Xia Li1, Ning-Qin Li2, Jin-Yuan Liao2 1Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, People’s Republic of China; 2Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, People’s Republic of China Received July 2, 2020; Accepted August 31, 2020; Epub October 1, 2020; Published October 15, 2020 Abstract: Previous studies found that Forkhead box D4 (FOXD4) overexpressed in human colorectal cancer had the worst prognosis. However, the diagnostic value and further mechanism have not been fully researched. Statistical examinations for FOXD4 expression colon adenocarcinoma (COAD) patients were obtained from The Cancer Genome Atlas (TCGA). Survival analysis was used to assess its prognostic value. Nomogram model was used for visual pre- diction of patient survival rate. The online functional enrichment analysis tool was used to evaluate the biological functions and pathways of FOXD4 and its co-expressed genes. Receiver operating characteristic curve analysis suggested that FOXD4 might be a diagnostic biomarker for COAD (P<0.001, area under the curve [AUC]=0.728, 95% confidence interval [CI]=0.669-0.787). Low expression ofFOXD4 was associated with a good clinical outcome (P=0.001, HR=0.517, 95% CI=0.341-0.782). A total of 797 genes were correlated with FOXD4 and associated with cell proliferation, cell differentiation, nuclear matrix, Rap1 signaling pathway, RNA transport, and VEGF signaling pathway. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Genetic Characterization of Congenital Defects in Dogs: Caudal Dysplasia, Ectodermal Dysplasia and Mucopolysaccharidosis Vii
Department of Veterinary Biosciences Biochemistry and Developmental Biology, Institute of Biomedicine Research Programs Unit, Molecular Neurology University of Helsinki and Department of Molecular Genetics The Folkhälsan Institute of Genetics GENETIC CHARACTERIZATION OF CONGENITAL DEFECTS IN DOGS: CAUDAL DYSPLASIA, ECTODERMAL DYSPLASIA AND MUCOPOLYSACCHARIDOSIS VII Marjo Hytönen ACADEMIC DISSERTATION To be presented, with the permission of the Faculty of Veterinary Medicine of the University of Helsinki, for public examination in Auditorium XIV, University Main Building, on 6th September 2013, at 12 noon. Helsinki 2013 Supervisors: Professor Hannes Lohi University of Helsinki, Finland Docent Kirsi Sainio University of Helsinki, Finland Reviewers: Professor Seppo Vainio University of Oulu, Finland Docent Janna Waltimo-Sirén University of Helsinki, Finland Opponent: Professor Frode Lingaas Norwegian School of Veterinary Science, Norway ISBN 978-952-10-9170-4 (pbk.) ISBN 978-952-10-9171-1 (PDF) Unigrafia Oy Helsinki 2013 Abstract Since the sequencing of the Canis lupus familiaris genome the dog has become a powerful tool for scientists. Selective breeding has created more than 400 different breeds each representing genetic isolates with breed-specific morphological and behavioral characteristics. Unique population history, available genealogical records, veterinary diagnostics and novel genomic tools greatly facilitate gene mapping studies in dogs. Given that over 600 genetic disorders have been described in dogs and that most of them are -
Mammalian Atypical E2fs Link Endocycle Control to Cancer
Mammalian Atypical E2Fs Link Endocycle Control to Cancer DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Hui-Zi Chen Graduate Program in Integrated Biomedical Science Program The Ohio State University 2011 Dissertation Committee: Gustavo Leone, PhD, Advisor Michael Ostrowski, PhD Clay Marsh, MD Tsonwin Hai, PhD Kathryn Wikenheiser-Brokamp, MD PhD Copyright by Hui-Zi Chen 2011 Abstract The endocycle is a developmentally programmed variant cell cycle consisting of successive S (DNA synthesis) and G (Gap) phases without an intervening M phase or cytokinesis. As a consequence of the regulated “decoupling” of DNA replication and mitosis, which are two central processes of the traditional cell division program, endocycling cells acquire highly polyploid genomes after having undergone multiple rounds of whole genome reduplication. Although essential for metazoan development, relatively little is known about the regulation of endocycle or its physiologic role in higher vertebrates such as the mammal. A substantial body of work in the model organism Drosophila melanogaster has demonstrated an important function for dE2Fs in the control of endocycle. Genetic studies showed that both endocycle initiation and progression is severely disrupted by altering the expression of the fly E2F activator (dE2F1) or repressor (dE2F2). In mammals, the E2F family is comprised of nine structurally related proteins, encoded by eight distinct genes, that can be classified into transcriptional activators (E2f1, E2f2, E2f3a and E2f3b) or repressors (E2f4, E2f5, E2f6, E2f7 and E2f8). The repressor subclass may then be further divided into canonical (E2f4, E2f5 and E2f6) or atypical E2fs (E2f7 and E2f8). -
The Role of the Forkhead Transcription Factor Foxo3a in Erythropoiesis
Chapter1.qxd 29-Nov-04 10:40 Page 1 The Role of the Forkhead Transcription Factor Foxo3a in Erythropoiesis Walbert Jacob Bakker Chapter1.qxd 29-Nov-04 10:40 Page 3 The Role of the Forkhead Transcription Factor Foxo3a in Erythropoiesis De Rol van de Forkhead Transcriptie Factor Foxo3a in Erythropoïese Proefschrift ter verkrijging van de graad van doctor aan de Erasmus Universiteit Rotterdam op gezag van de Rector Magnificus Prof.dr. S.W.J. Lamberts en volgens het besluit van het College voor Promoties. De openbare verdediging zal plaatsvinden op woensdag 19 januari 2005 om 11:45 uur door Walbert Jacob Bakker geboren te Delft. Chapter1.qxd 29-Nov-04 10:40 Page 4 Promotiecommissie Promotor Prof.dr. B. Löwenberg Overige leden Prof.dr. I. Touw Dr. J.N.J. Philipsen Prof.dr. P.J. Coffer Copromotor Dr. M. von Lindern The work described in this thesis was performed at the Institute of Hematology, Erasmus Medical Centre Rotterdam, The Netherlands. This work was supported by the Dutch Cancer Society (Koningin Wilhelmina Fonds). Printing of this thesis was financially supported by the Dutch Cancer Society. Cover by Johan Akkerman Printed by [Optima] Grafische Communicatie, Rotterdam Chapter1.qxd 29-Nov-04 10:40 Page 5 voor Frederike aan mijn ouders Chapter1.qxd 30-Nov-04 18:00 Page 6 Contents Chapter 1 Introduction 9 1. Hematopoiesis 11 1.1. Regulation of Hematopoiesis by hematopoietic growth factors 13 1.2. Regulation of Hematopoiesis by transcription factors 13 1.3. Signaling regulated gene expression 14 2. Erythropoiesis 14 2.1. Erythroid development 14 3. -
Identification of Spatially Associated Subpopulations by Combining
Supplementary Tables Supplementary Table 1: List of genes that are profiled by the seqFISH experiment. 4931431F19Rik Ctla4 Hnf1a Obsl1 Cpne5 4932429P05Rik Cyp2c70 Hoxb3 Olr1 Nes Abca15 Cyp2j5 Hoxb8 Osr2 Acta2 Abca9 Dbx1 Hyal5 Pld1 Gja1 Adcy4 Dcstamp Kif16b Pld5 Omg Aldh3b2 Ddb2 Laptm5 Poln Nov Ankle1 Egln3 Lefty2 Ppp1r3b Col5a1 Ano7 Fam69c Lhx3 Psmd5 Dcx Anxa9 Fbll1 Lhx4 Rbm31y Itpr2 Arhgef26 Foxa1 Lmod1 Rrm2 Rhob B3gat2 Foxa2 Mertk Scml2 Sox2 Barhl1 Foxd1 Mgam Senp1 Cldn5 Bcl2l14 Foxd4 Mmgt1 Serpinb11 Mrc1 Blzf1 Galnt3 Mmp8 Sis Tbr1 Bmpr1b Gata6 Mrgprb1 Slc4a8 Pax6 Capn13 Gdf2 Murc Slc6a16 Calb1 Cdc5l Gdf5 Nell1 Spag6 Gda Cdc6 Gm15688 Neurod4 Sumf2 Slc5a7 Cdh1 Gm6377 Neurog1 Tnfrsf1b Sema3e Cecr2 Gm805 Nfkb2 Vmn1r65 Mfge8 Cilp Gpc4 Nfkbiz Vps13c Lyve1 Clec5a Gpr114 Nhlh1 Wrn Loxl1 Creb1 Gykl1 Nkd2 Zfp182 Slco1c1 Creb3l1 Hdx Nlrp12 Zfp715 Amigo2 Nature Biotechnology: doi:10.1038/nbt.4260 Csf2rb2 Hn1l Npy2r Zfp90 Kcnip2 Supplementary Table 2: List of 43 genes used for cell type mapping. Fbll1 Itpr2 Vps13c Tnfrsf1b Sox2 Hdx Wrn Sumf2 Vmn1r65 Rhob Mrgprb1 Calb1 Pld1 Laptm5 Tbr1 Slc5a7 Abca9 Ankle1 Olr1 Cecr2 Cpne5 Blzf1 Mertk Nell1 Npy2r Cdc5l Slco1c1 Pax6 Cldn5 Cyp2j5 Mfge8 Col5a1 Bmpr1b Rrm2 Gja1 Dcx Spag6 Csf2rb2 Gda Arhgef26 Slc4a8 Gm805 Omg Supplementary Table 3: Astrocyte prediction accuracy, evaluated using fluorescent staining images. We examined and contrasted DAPI, Nissl staining on astrocyte cells. Percentage of cells with no Nissl, and with DAPI staining are recorded (these are accurate instances) % predicted % predicted Total predicted astrocytes with weak astrocytes with astrocytes or no Nissl stain present Nissl stain Cortex Column 1 100% 0% 11 Cortex Column 2 88% 12% 25 Cortex Column 3 87% 13% 24 Cortex Column 4 87% 13% 24 Supplementary Table 4: List of 69 genes used for HMRF. -
Engineered Type 1 Regulatory T Cells Designed for Clinical Use Kill Primary
ARTICLE Acute Myeloid Leukemia Engineered type 1 regulatory T cells designed Ferrata Storti Foundation for clinical use kill primary pediatric acute myeloid leukemia cells Brandon Cieniewicz,1* Molly Javier Uyeda,1,2* Ping (Pauline) Chen,1 Ece Canan Sayitoglu,1 Jeffrey Mao-Hwa Liu,1 Grazia Andolfi,3 Katharine Greenthal,1 Alice Bertaina,1,4 Silvia Gregori,3 Rosa Bacchetta,1,4 Norman James Lacayo,1 Alma-Martina Cepika1,4# and Maria Grazia Roncarolo1,2,4# Haematologica 2021 Volume 106(10):2588-2597 1Department of Pediatrics, Division of Stem Cell Transplantation and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, USA; 2Stanford Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, USA; 3San Raffaele Telethon Institute for Gene Therapy, Milan, Italy and 4Center for Definitive and Curative Medicine, Stanford School of Medicine, Stanford, CA, USA *BC and MJU contributed equally as co-first authors #AMC and MGR contributed equally as co-senior authors ABSTRACT ype 1 regulatory (Tr1) T cells induced by enforced expression of interleukin-10 (LV-10) are being developed as a novel treatment for Tchemotherapy-resistant myeloid leukemias. In vivo, LV-10 cells do not cause graft-versus-host disease while mediating graft-versus-leukemia effect against adult acute myeloid leukemia (AML). Since pediatric AML (pAML) and adult AML are different on a genetic and epigenetic level, we investigate herein whether LV-10 cells also efficiently kill pAML cells. We show that the majority of primary pAML are killed by LV-10 cells, with different levels of sensitivity to killing. Transcriptionally, pAML sensitive to LV-10 killing expressed a myeloid maturation signature.