Disruption of MAPK1 Expression in the ERK Signalling
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Functions of the Mineralocorticoid Receptor in the Hippocampus By
Functions of the Mineralocorticoid Receptor in the Hippocampus by Aaron M. Rozeboom A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Cellular and Molecular Biology) in The University of Michigan 2008 Doctoral Committee: Professor Audrey F. Seasholtz, Chair Professor Elizabeth A. Young Professor Ronald Jay Koenig Associate Professor Gary D. Hammer Assistant Professor Jorge A. Iniguez-Lluhi Acknowledgements There are more people than I can possibly name here that I need to thank who have helped me throughout the process of writing this thesis. The first and foremost person on this list is my mentor, Audrey Seasholtz. Between working in her laboratory as a research assistant and continuing my training as a graduate student, I spent 9 years in Audrey’s laboratory and it would be no exaggeration to say that almost everything I have learned regarding scientific research has come from her. Audrey’s boundless enthusiasm, great patience, and eager desire to teach students has made my time in her laboratory a richly rewarding experience. I cannot speak of Audrey’s laboratory without also including all the past and present members, many of whom were/are not just lab-mates but also good friends. I also need to thank all the members of my committee, an amazing group of people whose scientific prowess combined with their open-mindedness allowed me to explore a wide variety of interests while maintaining intense scientific rigor. Outside of Audrey’s laboratory, there have been many people in Ann Arbor without whom I would most assuredly have gone crazy. -
Variations in Microrna-25 Expression Influence the Severity of Diabetic
BASIC RESEARCH www.jasn.org Variations in MicroRNA-25 Expression Influence the Severity of Diabetic Kidney Disease † † † Yunshuang Liu,* Hongzhi Li,* Jieting Liu,* Pengfei Han, Xuefeng Li, He Bai,* Chunlei Zhang,* Xuelian Sun,* Yanjie Teng,* Yufei Zhang,* Xiaohuan Yuan,* Yanhui Chu,* and Binghai Zhao* *Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Medical Research Center, Heilongjiang, People’s Republic of China; and †Clinical Laboratory of Hong Qi Hospital, Mudanjiang Medical University, Heilongjiang, People’s Republic of China ABSTRACT Diabetic nephropathy is characterized by persistent albuminuria, progressive decline in GFR, and second- ary hypertension. MicroRNAs are dysregulated in diabetic nephropathy, but identification of the specific microRNAs involved remains incomplete. Here, we show that the peripheral blood from patients with diabetes and the kidneys of animals with type 1 or 2 diabetes have low levels of microRNA-25 (miR-25) compared with those of their nondiabetic counterparts. Furthermore, treatment with high glucose decreased the expression of miR-25 in cultured kidney cells. In db/db mice, systemic administration of an miR-25 agomir repressed glomerular fibrosis and reduced high BP. Notably, knockdown of miR-25 in normal mice by systemic administration of an miR-25 antagomir resulted in increased proteinuria, extracellular matrix accumulation, podocyte foot process effacement, and hypertension with renin-angiotensin system activation. However, excessive miR-25 did not cause kidney dysfunction in wild-type mice. RNA sequencing showed the alteration of miR-25 target genes in antagomir-treated mice, including the Ras-related gene CDC42. In vitro,cotrans- fection with the miR-25 antagomir repressed luciferase activity from a reporter construct containing the CDC42 39 untranslated region. -
And EZH2-Regulated Gene, Has Differential Roles in AR-Dependent and -Independent Prostate Cancer
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 6, No.4 RUNX1, an androgen- and EZH2-regulated gene, has differential roles in AR-dependent and -independent prostate cancer Ken-ichi Takayama1,2, Takashi Suzuki3, Shuichi Tsutsumi4, Tetsuya Fujimura5, Tomohiko Urano1,2, Satoru Takahashi6, Yukio Homma5, Hiroyuki Aburatani4 and Satoshi Inoue1,2,7 1 Department of Anti-Aging Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan 2 Department of Geriatric Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan 3 Department of Pathology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan 4 Genome Science Division, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Meguro-ku, Tokyo, Japan 5 Department of Urology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan 6 Department of Urology, Nihon University School of Medicine, Itabashi-ku, Tokyo, Japan 7 Division of Gene Regulation and Signal Transduction, Research Center for Genomic Medicine, Saitama Medical University, Hidaka, Saitama, Japan Correspondence to: Satoshi Inoue, email: [email protected] Keywords: RUNX1, androgen receptor, EZH2, prostate cancer Received: October 02, 2014 Accepted: December 09, 2014 Published: December 10, 2014 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Androgen receptor (AR) signaling is essential for the development of prostate cancer. Here, we report that runt-related transcription factor (RUNX1) could be a key molecule for the androgen-dependence of prostate cancer. We found RUNX1 is a target of AR and regulated positively by androgen. -
(P -Value<0.05, Fold Change≥1.4), 4 Vs. 0 Gy Irradiation
Table S1: Significant differentially expressed genes (P -Value<0.05, Fold Change≥1.4), 4 vs. 0 Gy irradiation Genbank Fold Change P -Value Gene Symbol Description Accession Q9F8M7_CARHY (Q9F8M7) DTDP-glucose 4,6-dehydratase (Fragment), partial (9%) 6.70 0.017399678 THC2699065 [THC2719287] 5.53 0.003379195 BC013657 BC013657 Homo sapiens cDNA clone IMAGE:4152983, partial cds. [BC013657] 5.10 0.024641735 THC2750781 Ciliary dynein heavy chain 5 (Axonemal beta dynein heavy chain 5) (HL1). 4.07 0.04353262 DNAH5 [Source:Uniprot/SWISSPROT;Acc:Q8TE73] [ENST00000382416] 3.81 0.002855909 NM_145263 SPATA18 Homo sapiens spermatogenesis associated 18 homolog (rat) (SPATA18), mRNA [NM_145263] AA418814 zw01a02.s1 Soares_NhHMPu_S1 Homo sapiens cDNA clone IMAGE:767978 3', 3.69 0.03203913 AA418814 AA418814 mRNA sequence [AA418814] AL356953 leucine-rich repeat-containing G protein-coupled receptor 6 {Homo sapiens} (exp=0; 3.63 0.0277936 THC2705989 wgp=1; cg=0), partial (4%) [THC2752981] AA484677 ne64a07.s1 NCI_CGAP_Alv1 Homo sapiens cDNA clone IMAGE:909012, mRNA 3.63 0.027098073 AA484677 AA484677 sequence [AA484677] oe06h09.s1 NCI_CGAP_Ov2 Homo sapiens cDNA clone IMAGE:1385153, mRNA sequence 3.48 0.04468495 AA837799 AA837799 [AA837799] Homo sapiens hypothetical protein LOC340109, mRNA (cDNA clone IMAGE:5578073), partial 3.27 0.031178378 BC039509 LOC643401 cds. [BC039509] Homo sapiens Fas (TNF receptor superfamily, member 6) (FAS), transcript variant 1, mRNA 3.24 0.022156298 NM_000043 FAS [NM_000043] 3.20 0.021043295 A_32_P125056 BF803942 CM2-CI0135-021100-477-g08 CI0135 Homo sapiens cDNA, mRNA sequence 3.04 0.043389246 BF803942 BF803942 [BF803942] 3.03 0.002430239 NM_015920 RPS27L Homo sapiens ribosomal protein S27-like (RPS27L), mRNA [NM_015920] Homo sapiens tumor necrosis factor receptor superfamily, member 10c, decoy without an 2.98 0.021202829 NM_003841 TNFRSF10C intracellular domain (TNFRSF10C), mRNA [NM_003841] 2.97 0.03243901 AB002384 C6orf32 Homo sapiens mRNA for KIAA0386 gene, partial cds. -
Mutational Landscape and Clinical Outcome of Patients with De Novo Acute Myeloid Leukemia and Rearrangements Involving 11Q23/KMT2A
Mutational landscape and clinical outcome of patients with de novo acute myeloid leukemia and rearrangements involving 11q23/KMT2A Marius Billa,1,2, Krzysztof Mrózeka,1,2, Jessica Kohlschmidta,b, Ann-Kathrin Eisfelda,c, Christopher J. Walkera, Deedra Nicoleta,b, Dimitrios Papaioannoua, James S. Blachlya,c, Shelley Orwicka,c, Andrew J. Carrolld, Jonathan E. Kolitze, Bayard L. Powellf, Richard M. Stoneg, Albert de la Chapelleh,i,2, John C. Byrda,c, and Clara D. Bloomfielda,c aThe Ohio State University Comprehensive Cancer Center, Columbus, OH 43210; bAlliance for Clinical Trials in Oncology Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210; cDivision of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210; dDepartment of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294; eNorthwell Health Cancer Institute, Zucker School of Medicine at Hofstra/Northwell, Lake Success, NY 11042; fDepartment of Internal Medicine, Section on Hematology & Oncology, Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157; gDepartment of Medical Oncology, Dana-Farber/Partners Cancer Care, Boston, MA 02215; hHuman Cancer Genetics Program, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210; and iDepartment of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210 Contributed by Albert de la Chapelle, August 28, 2020 (sent for review July 17, 2020; reviewed by Anne Hagemeijer and Stefan Klaus Bohlander) Balanced rearrangements involving the KMT2A gene, located at patterns that include high expression of HOXA genes and thereby 11q23, are among the most frequent chromosome aberrations in contribute to leukemogenesis (14–16). -
Figure S17 Figure S16
immune responseregulatingcellsurfacereceptorsignalingpathway ventricular cardiacmuscletissuedevelopment t cellactivationinvolvedinimmuneresponse intrinsic apoptoticsignalingpathway single organismalcelladhesion cholesterol biosyntheticprocess myeloid leukocytedifferentiation determination ofadultlifespan response tointerferongamma muscle organmorphogenesis endothelial celldifferentiation brown fatcelldifferentiation mitochondrion organization myoblast differentiation response toprotozoan amino acidtransport leukocyte migration cytokine production t celldifferentiation protein secretion response tovirus angiogenesis Scrt1 Tcf25 Dpf1 Sap30 Ing2 Zfp654 Sp9 Zfp263 Mxi1 Hes6 Zfp395 Rlf Ppp1r13l Snapc1 C030039L03Rik Hif1a Arrb1 Glis3 Rcor2 Hif3a Fbxo21 Dnajc21 Rest Sirt6 Foxj1 Kdm5b Ankzf1 Sos2 Plscr1 Jdp2 Rbbp8 Etv4 Msh5 Mafg Tsc22d3 Nupr1 Ddit3 Cebpg Zfp790 Atf5 Cebpb Atf3 Trim21 Irf9 Irf2 Tbx21 Stat2 Stat1 Zbp1 Irf1 aGOslimPos Ikzf3 Oasl1 Irf7 Trim30a Dhx58 Txk Rorc Rora Nr1d2 Setdb2 Vdr Vax2 Nr1d1 Foxs1 Eno1 Thap3 Nfkbil1 Edf1 Srebf1 Lbr Tead1 Zfp608 Pcx Ift57 Ssbp4 Stat3 Mxd1 Pml Ssh2 Chd7 Maf Cic Bcl3 Prkdc Mbd5 Ppfibp2 Foxp2 Tal2 Mlf1 Bcl6b Zfp827 Ikzf2 Phtf2 Bmyc Plagl2 Nfkb2 Nfkb1 Tox Nrip1 Utf1 Klf3 Plagl1 Nfkbib Spib Nfkbie Akna Rbpj Ncoa3 Id1 Tnp2 Gata3 Gata1 Pparg Id2 Epas1 Zfp280b Commons Pathway Erg GO MSigDB KEGG Hhex WikiPathways SetGene Databases Batf Aff3 Zfp266 gene modules other (hypergeometric TF, from Figure Trim24 Zbtb5 Foxo3 Aebp2 XPodNet -protein-proteininteractionsinthepodocyteexpandedbySTRING Ppp1r10 Dffb Trp53 Enrichment -
Genetic Testing for Acute Myeloid Leukemia AHS-M2062
Corporate Medical Policy Genetic Testing for Acute Myeloid Leukemia AHS-M2062 File Name: genetic_testing_for_acute_myeloid_leukemia Origination: 1/1/2019 Last CAP Review: 8/2021 Next CAP Review: 8/2022 Last Review: 8/2021 Description of Procedure or Service Acute myeloid leukemia (AML) is characterized by large numbers of abnormal, immature myeloid cells in the bone marrow and peripheral blood resulting from genetic changes in hematopoietic precursor cells which disrupt normal hematopoietic growth and differentiation (Stock, 2020). Related Policies: Genetic Cancer Susceptibility Using Next Generation Sequencing AHS-M2066 Molecular Panel Testing of Cancers to Identify Targeted Therapy AHS-M2109 Serum Tumor Markers for Malignancies AHS-G2124 Minimal Residual Disease (MRD) AHS- M2175 ***Note: This Medical Policy is complex and technical. For questions concerning the technical language and/or specific clinical indications for its use, please consult your physician. Policy BCBSNC will provide coverage for genetic testing for acute myeloid leukemia when it is determined to be medically necessary because the medical criteria and guidelines shown below are met. Benefits Application This medical policy relates only to the services or supplies described herein. Please refer to the Member's Benefit Booklet for availability of benefits. Member's benefits may vary according to benefit design; therefore member benefit language should be reviewed before applying the terms of this medical policy. When Genetic Testing for Acute Myeloid Leukemia is covered The use of genetic testing for acute myeloid leukemia is considered medically necessary for the following: A. Genetic testing for FLT3 internal tandem duplication and tyrosine kinase domain mutations (ITD and TKD), IDH1, IDH2, TET2, WT1, DNMT3A, ASXL1 and/or TP53 in adult and pediatric patients with suspected or confirmed AML of any type for prognostic and/or therapeutic purposes. -
Inhibition of HIF1` Signaling: a Grand Slam for MDS Therapy?
VIEWS IN THE SPOTLIGHT Inhibition of HIF1` Signaling: A Grand Slam for MDS Therapy? Jiahao Chen and Ulrich Steidl Summary: The recent focus on genomics in myelodysplastic syndromes (MDS) has led to important insights and revealed a daunting genetic heterogeneity, which is presenting great challenges for clinical treatment and preci- sion oncology approaches in MDS. Hayashi and colleagues show that multiple mutations frequently found in MDS activate HIF1α signaling, which they also found to be suffi cient to induce overt MDS in mice. Furthermore, both genetic and pharmacologic inhibition of HIF1α suppressed MDS development with only mild effects on normal hematopoiesis, implicating HIF1α signaling as a promising therapeutic target to tackle the heterogeneity of MDS. Cancer Discov; 8(11); 1355–7. ©2018 AACR . See related article by Hayashi et al., p. 1438 (5). Myelodysplastic syndromes (MDS) are a heterogeneous In this issue, Hayashi and colleagues found that target group of hematologic disorders characterized by ineffi cient genes activated by HIF1α signaling were highly expressed in hematopoiesis that manifests as bone marrow (BM) dysplasia a published cohort of 183 patients with MDS compared with and peripheral blood cytopenias, and increased risk of leuke- healthy controls ( 5 ). IHC confi rmed an increased frequency mic transformation ( 1 ). The median survival of patients with of HIF1α-expressing cells in MDS samples at different stages MDS is 4.5 years, with a signifi cantly worse survival of< 1 year (low-, intermediate-, and high-risk) -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
Application of Microrna Database Mining in Biomarker Discovery and Identification of Therapeutic Targets for Complex Disease
Article Application of microRNA Database Mining in Biomarker Discovery and Identification of Therapeutic Targets for Complex Disease Jennifer L. Major, Rushita A. Bagchi * and Julie Pires da Silva * Department of Medicine, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; [email protected] * Correspondence: [email protected] (R.A.B.); [email protected] (J.P.d.S.) Supplementary Tables Methods Protoc. 2021, 4, 5. https://doi.org/10.3390/mps4010005 www.mdpi.com/journal/mps Methods Protoc. 2021, 4, 5. https://doi.org/10.3390/mps4010005 2 of 25 Table 1. List of all hsa-miRs identified by Human microRNA Disease Database (HMDD; v3.2) analysis. hsa-miRs were identified using the term “genetics” and “circulating” as input in HMDD. Targets CAD hsa-miR-1 Targets IR injury hsa-miR-423 Targets Obesity hsa-miR-499 hsa-miR-146a Circulating Obesity Genetics CAD hsa-miR-423 hsa-miR-146a Circulating CAD hsa-miR-149 hsa-miR-499 Circulating IR Injury hsa-miR-146a Circulating Obesity hsa-miR-122 Genetics Stroke Circulating CAD hsa-miR-122 Circulating Stroke hsa-miR-122 Genetics Obesity Circulating Stroke hsa-miR-26b hsa-miR-17 hsa-miR-223 Targets CAD hsa-miR-340 hsa-miR-34a hsa-miR-92a hsa-miR-126 Circulating Obesity Targets IR injury hsa-miR-21 hsa-miR-423 hsa-miR-126 hsa-miR-143 Targets Obesity hsa-miR-21 hsa-miR-223 hsa-miR-34a hsa-miR-17 Targets CAD hsa-miR-223 hsa-miR-92a hsa-miR-126 Targets IR injury hsa-miR-155 hsa-miR-21 Circulating CAD hsa-miR-126 hsa-miR-145 hsa-miR-21 Targets Obesity hsa-mir-223 hsa-mir-499 hsa-mir-574 Targets IR injury hsa-mir-21 Circulating IR injury Targets Obesity hsa-mir-21 Targets CAD hsa-mir-22 hsa-mir-133a Targets IR injury hsa-mir-155 hsa-mir-21 Circulating Stroke hsa-mir-145 hsa-mir-146b Targets Obesity hsa-mir-21 hsa-mir-29b Methods Protoc. -
Supplementary Table 2
Supplementary Table 2. Differentially Expressed Genes following Sham treatment relative to Untreated Controls Fold Change Accession Name Symbol 3 h 12 h NM_013121 CD28 antigen Cd28 12.82 BG665360 FMS-like tyrosine kinase 1 Flt1 9.63 NM_012701 Adrenergic receptor, beta 1 Adrb1 8.24 0.46 U20796 Nuclear receptor subfamily 1, group D, member 2 Nr1d2 7.22 NM_017116 Calpain 2 Capn2 6.41 BE097282 Guanine nucleotide binding protein, alpha 12 Gna12 6.21 NM_053328 Basic helix-loop-helix domain containing, class B2 Bhlhb2 5.79 NM_053831 Guanylate cyclase 2f Gucy2f 5.71 AW251703 Tumor necrosis factor receptor superfamily, member 12a Tnfrsf12a 5.57 NM_021691 Twist homolog 2 (Drosophila) Twist2 5.42 NM_133550 Fc receptor, IgE, low affinity II, alpha polypeptide Fcer2a 4.93 NM_031120 Signal sequence receptor, gamma Ssr3 4.84 NM_053544 Secreted frizzled-related protein 4 Sfrp4 4.73 NM_053910 Pleckstrin homology, Sec7 and coiled/coil domains 1 Pscd1 4.69 BE113233 Suppressor of cytokine signaling 2 Socs2 4.68 NM_053949 Potassium voltage-gated channel, subfamily H (eag- Kcnh2 4.60 related), member 2 NM_017305 Glutamate cysteine ligase, modifier subunit Gclm 4.59 NM_017309 Protein phospatase 3, regulatory subunit B, alpha Ppp3r1 4.54 isoform,type 1 NM_012765 5-hydroxytryptamine (serotonin) receptor 2C Htr2c 4.46 NM_017218 V-erb-b2 erythroblastic leukemia viral oncogene homolog Erbb3 4.42 3 (avian) AW918369 Zinc finger protein 191 Zfp191 4.38 NM_031034 Guanine nucleotide binding protein, alpha 12 Gna12 4.38 NM_017020 Interleukin 6 receptor Il6r 4.37 AJ002942 -
RUNX1 Together with a Compendium of Hematopoietic Regulators, Chromatin Modifiers and Basal Transcr
Leukemia (2014) 28, 770–778 OPEN & 2014 Macmillan Publishers Limited All rights reserved 0887-6924/14 www.nature.com/leu ORIGINAL ARTICLE CBFB–MYH11/RUNX1 together with a compendium of hematopoietic regulators, chromatin modifiers and basal transcription factors occupies self-renewal genes in inv(16) acute myeloid leukemia A Mandoli1, AA Singh1, PWTC Jansen2, ATJ Wierenga3,4, H Riahi1, G Franci5, K Prange1, S Saeed1, E Vellenga3, M Vermeulen2, HG Stunnenberg1 and JHA Martens1 Different mechanisms for CBFb–MYH11 function in acute myeloid leukemia with inv(16) have been proposed such as tethering of RUNX1 outside the nucleus, interference with transcription factor complex assembly and recruitment of histone deacetylases, all resulting in transcriptional repression of RUNX1 target genes. Here, through genome-wide CBFb–MYH11-binding site analysis and quantitative interaction proteomics, we found that CBFb–MYH11 localizes to RUNX1 occupied promoters, where it interacts with TAL1, FLI1 and TBP-associated factors (TAFs) in the context of the hematopoietic transcription factors ERG, GATA2 and PU.1/SPI1 and the coregulators EP300 and HDAC1. Transcriptional analysis revealed that upon fusion protein knockdown, a small subset of the CBFb–MYH11 target genes show increased expression, confirming a role in transcriptional repression. However, the majority of CBFb–MYH11 target genes, including genes implicated in hematopoietic stem cell self-renewal such as ID1, LMO1 and JAG1, are actively transcribed and repressed upon fusion protein knockdown. Together these results suggest an essential role for CBFb–MYH11 in regulating the expression of genes involved in maintaining a stem cell phenotype. Leukemia (2014) 28, 770–778; doi:10.1038/leu.2013.257 Keywords: CBFb–MYH11; RUNX1; histone acetylation; acute myeloid leukemia; inv(16) INTRODUCTION Heterozygous Cbfb-Myh11 knock-in mice are embryonic lethal, Core-binding transcription factors (CBFs) have roles in stem cell with definitive hematopoiesis blocked at the stem-cell level.