Transcriptional Silencing of G-Globin by BCL11A Involves Long-Range Interactions and Cooperation with SOX6
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Transcriptome Dynamics and Potential Roles of Sox6 in the Postnatal Heart
RESEARCH ARTICLE Transcriptome Dynamics and Potential Roles of Sox6 in the Postnatal Heart Chung-Il An1☯*, Yasunori Ichihashi2☯¤a¤b*, Jie Peng3, Neelima R. Sinha2, Nobuko Hagiwara1* 1 Division of Cardiovascular Medicine, Department of Internal Medicine, University of California Davis, Davis, California, United States of America, 2 Department of Plant Biology, University of California Davis, Davis, California, United States of America, 3 Department of Statistics, University of California Davis, Davis, California, United States of America ☯ These authors contributed equally to this work. a11111 ¤a Current address: RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa, Japan ¤b Current address: JST, PRESTO, Kawaguchi, Saitama, Japan * [email protected] (CA); [email protected] (YI); [email protected] (NH) Abstract OPEN ACCESS The postnatal heart undergoes highly coordinated developmental processes culminating in Citation: An C-I, Ichihashi Y, Peng J, Sinha NR, the complex physiologic properties of the adult heart. The molecular mechanisms of postna- Hagiwara N (2016) Transcriptome Dynamics and tal heart development remain largely unexplored despite their important clinical implications. Potential Roles of Sox6 in the Postnatal Heart. To gain an integrated view of the dynamic changes in gene expression during postnatal PLoS ONE 11(11): e0166574. doi:10.1371/journal. heart development at the organ level, time-series transcriptome analyses of the postnatal pone.0166574 hearts of neonatal through adult mice (P1, P7, P14, P30, and P60) were performed using a Editor: Katherine Yutzey, Cincinnati Children's newly developed bioinformatics pipeline. We identified functional gene clusters by principal Hospital Medical Center, UNITED STATES component analysis with self-organizing map clustering which revealed organized, discrete Received: July 16, 2016 gene expression patterns corresponding to biological functions associated with the neona- Accepted: October 31, 2016 tal, juvenile and adult stages of postnatal heart development. -
Prox1regulates the Subtype-Specific Development of Caudal Ganglionic
The Journal of Neuroscience, September 16, 2015 • 35(37):12869–12889 • 12869 Development/Plasticity/Repair Prox1 Regulates the Subtype-Specific Development of Caudal Ganglionic Eminence-Derived GABAergic Cortical Interneurons X Goichi Miyoshi,1 Allison Young,1 Timothy Petros,1 Theofanis Karayannis,1 Melissa McKenzie Chang,1 Alfonso Lavado,2 Tomohiko Iwano,3 Miho Nakajima,4 Hiroki Taniguchi,5 Z. Josh Huang,5 XNathaniel Heintz,4 Guillermo Oliver,2 Fumio Matsuzaki,3 Robert P. Machold,1 and Gord Fishell1 1Department of Neuroscience and Physiology, NYU Neuroscience Institute, Smilow Research Center, New York University School of Medicine, New York, New York 10016, 2Department of Genetics & Tumor Cell Biology, St. Jude Children’s Research Hospital, Memphis, Tennessee 38105, 3Laboratory for Cell Asymmetry, RIKEN Center for Developmental Biology, Kobe 650-0047, Japan, 4Laboratory of Molecular Biology, Howard Hughes Medical Institute, GENSAT Project, The Rockefeller University, New York, New York 10065, and 5Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 Neurogliaform (RELNϩ) and bipolar (VIPϩ) GABAergic interneurons of the mammalian cerebral cortex provide critical inhibition locally within the superficial layers. While these subtypes are known to originate from the embryonic caudal ganglionic eminence (CGE), the specific genetic programs that direct their positioning, maturation, and integration into the cortical network have not been eluci- dated. Here, we report that in mice expression of the transcription factor Prox1 is selectively maintained in postmitotic CGE-derived cortical interneuron precursors and that loss of Prox1 impairs the integration of these cells into superficial layers. Moreover, Prox1 differentially regulates the postnatal maturation of each specific subtype originating from the CGE (RELN, Calb2/VIP, and VIP). -
Supplemental Tables4.Pdf
Yano_Supplemental_Table_S4 Gene ontology – Biological process 1 of 9 Fold List Pop Pop GO Term Count % PValue Bonferroni Benjamini FDR Genes Total Hits Total Enrichment DLC1, CADM1, NELL2, CLSTN1, PCDHGA8, CTNNB1, NRCAM, APP, CNTNAP2, FERT2, RAPGEF1, PTPRM, MPDZ, SDK1, PCDH9, PTPRS, VEZT, NRXN1, MYH9, GO:0007155~cell CTNNA2, NCAM1, NCAM2, DDR1, LSAMP, CNTN1, 50 5.61 2.14E-08 510 311 7436 2.34 4.50E-05 4.50E-05 3.70E-05 adhesion ROR2, VCAN, DST, LIMS1, TNC, ASTN1, CTNND2, CTNND1, CDH2, NEO1, CDH4, CD24A, FAT3, PVRL3, TRO, TTYH1, MLLT4, LPP, NLGN1, PCDH19, LAMA1, ITGA9, CDH13, CDON, PSPC1 DLC1, CADM1, NELL2, CLSTN1, PCDHGA8, CTNNB1, NRCAM, APP, CNTNAP2, FERT2, RAPGEF1, PTPRM, MPDZ, SDK1, PCDH9, PTPRS, VEZT, NRXN1, MYH9, GO:0022610~biological CTNNA2, NCAM1, NCAM2, DDR1, LSAMP, CNTN1, 50 5.61 2.14E-08 510 311 7436 2.34 4.50E-05 4.50E-05 3.70E-05 adhesion ROR2, VCAN, DST, LIMS1, TNC, ASTN1, CTNND2, CTNND1, CDH2, NEO1, CDH4, CD24A, FAT3, PVRL3, TRO, TTYH1, MLLT4, LPP, NLGN1, PCDH19, LAMA1, ITGA9, CDH13, CDON, PSPC1 DCC, ENAH, PLXNA2, CAPZA2, ATP5B, ASTN1, PAX6, ZEB2, CDH2, CDH4, GLI3, CD24A, EPHB1, NRCAM, GO:0006928~cell CTTNBP2, EDNRB, APP, PTK2, ETV1, CLASP2, STRBP, 36 4.04 3.46E-07 510 205 7436 2.56 7.28E-04 3.64E-04 5.98E-04 motion NRG1, DCLK1, PLAT, SGPL1, TGFBR1, EVL, MYH9, YWHAE, NCKAP1, CTNNA2, SEMA6A, EPHA4, NDEL1, FYN, LRP6 PLXNA2, ADCY5, PAX6, GLI3, CTNNB1, LPHN2, EDNRB, LPHN3, APP, CSNK2A1, GPR45, NRG1, RAPGEF1, WWOX, SGPL1, TLE4, SPEN, NCAM1, DDR1, GRB10, GRM3, GNAQ, HIPK1, GNB1, HIPK2, PYGO1, GO:0007166~cell RNF138, ROR2, CNTN1, -
Discovery of Progenitor Cell Signatures by Time-Series Synexpression Analysis During Drosophila Embryonic Cell Immortalization
Correction DEVELOPMENTAL BIOLOGY Correction for “Discovery of progenitor cell signatures by time- series synexpression analysis during Drosophila embryonic cell immortalization,” by Mary-Lee Dequéant, Delphine Fagegaltier, Yanhui Hu, Kerstin Spirohn, Amanda Simcox, Gregory J. Hannon, and Norbert Perrimon, which appeared in issue 42, October 20, 2015, of Proc Natl Acad Sci USA (112:12974–12979; first published October 5, 2015; 10.1073/pnas.1517729112). The authors note that Delphine Fagegaltier should be credited for designing research and performing research. The authors also note that Delphine Fagegaltier, Amanda Simcox, and Gregory J. Hannon should be credited for contributing to the writing of the paper. The corrected author contributions footnote appears below. Author contributions: M.-L.D., D.F., A.S., G.J.H., and N.P. designed research; M.-L.D., D.F., K.S., and A.S. performed research; M.-L.D., D.F., and Y.H. analyzed data; and M.-L.D. and N.P. wrote the paper with contributions from D.F., A.S., and G.J.H. www.pnas.org/cgi/doi/10.1073/pnas.1520482112 E6408 | PNAS | November 17, 2015 | vol. 112 | no. 46 www.pnas.org Downloaded by guest on September 25, 2021 Discovery of progenitor cell signatures by time-series synexpression analysis during Drosophila embryonic cell immortalization Mary-Lee Dequéanta,1, Delphine Fagegaltierb, Yanhui Hua, Kerstin Spirohna, Amanda Simcoxc, Gregory J. Hannond, and Norbert Perrimona,e,1 aDepartment of Genetics, Harvard Medical School, Boston, MA 02115, bCold Spring Harbor Laboratories, Cold Spring Harbor, NY 11724; cDepartment of Molecular Genetics, The Ohio State University, Columbus, OH 43210; dHoward Hughes Medical Institute, Cold Spring Harbor Laboratories, Cold Spring Harbor, NY 11724; and eHoward Hughes Medical Institute, Harvard Medical School, Boston, MA 02115 Contributed by Norbert Perrimon, September 10, 2015 (sent for review May 18, 2015; reviewed by Peter Cherbas, Gary Karpen, and Renato Paro) The use of time series profiling to identify groups of functionally population contributing to adult muscles (4–7). -
Accompanies CD8 T Cell Effector Function Global DNA Methylation
Global DNA Methylation Remodeling Accompanies CD8 T Cell Effector Function Christopher D. Scharer, Benjamin G. Barwick, Benjamin A. Youngblood, Rafi Ahmed and Jeremy M. Boss This information is current as of October 1, 2021. J Immunol 2013; 191:3419-3429; Prepublished online 16 August 2013; doi: 10.4049/jimmunol.1301395 http://www.jimmunol.org/content/191/6/3419 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2013/08/20/jimmunol.130139 Material 5.DC1 References This article cites 81 articles, 25 of which you can access for free at: http://www.jimmunol.org/content/191/6/3419.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on October 1, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2013 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Global DNA Methylation Remodeling Accompanies CD8 T Cell Effector Function Christopher D. Scharer,* Benjamin G. Barwick,* Benjamin A. Youngblood,*,† Rafi Ahmed,*,† and Jeremy M. -
Supplemental Materials and Methods
Supplemental Material for: Transcriptional silencing of γ-globin by BCL11A involves long-range interactions and cooperation with SOX6 Jian Xu, Vijay G. Sankaran, Min Ni, Tobias F. Menne, Rishi V. Puram, Woojin Kim, Stuart H. Orkin* *To whom correspondence should be addressed. E-mail: [email protected] Supplemental Materials and Methods Flow cytometry Cells at various stages of differentiation were analyzed by flow cytometry using FACSCalibur (BD Biosciences, San Jose, CA). Live cells were identified and gated by exclusion of 7-amino-actinomycin D (7-AAD; BD Pharmingen). The cells were analyzed for expression of cell surface receptors with antibodies specific for CD34, CD45, CD71, CD235, and CD36 conjugated to phycoerythrin (PE), fluorescein isothiocyanate (FITC), or allophycocyanin (APC; BD Pharmingen). Data were analyzed using FlowJo software (Ashland, OR). Cytology Cytocentrifuge preparations were stained with May-Grunwald-Giemsa as previously described (Sankaran et al. 2008). Real-time RT-PCR Real-time quantitative RT-PCR was performed using the iQ SYBR Green Supermix (Bio- Rad). The following primers were used for real-time RT-PCR: human and mouse BCL11A-XL (forward, 5’-ATGCGAGCTGTGCAACTATG-3’; reverse, 5’- GTAAACGTCCTTCCCCACCT-3’), human and mouse BCL11A-L (forward, 5’- CAGCTCAAAAGAGGGCAGAC-3’; reverse, 5’-GAGCTTCCATCCGAAAACTG-3’), and human BCL11A exon 1 and 2 (common between all known isoforms; forward, 5’- AACCCCAGCACTTAAGCAAA-3’; reverse, 5’-GGAGGTCATGATCCCCTTCT-3’). Supplemental Figure Legends Supplemental Figure 1. Expression of BCL11A isoforms in human and mouse erythroid cells. (A) Schematic diagram of human BCL11A isoforms (Liu et al. 2006). The antibodies used for ChIP experiments and their corresponding epitopes are indicated. Locations of primers used for RT-PCR analysis of all BCL11A isoforms (forward and reverse primers indicated by arrowheads), XL and L isoforms are indicated. -
Inhibition of Mitochondrial Complex II in Neuronal Cells Triggers Unique
www.nature.com/scientificreports OPEN Inhibition of mitochondrial complex II in neuronal cells triggers unique pathways culminating in autophagy with implications for neurodegeneration Sathyanarayanan Ranganayaki1, Neema Jamshidi2, Mohamad Aiyaz3, Santhosh‑Kumar Rashmi4, Narayanappa Gayathri4, Pulleri Kandi Harsha5, Balasundaram Padmanabhan6 & Muchukunte Mukunda Srinivas Bharath7* Mitochondrial dysfunction and neurodegeneration underlie movement disorders such as Parkinson’s disease, Huntington’s disease and Manganism among others. As a corollary, inhibition of mitochondrial complex I (CI) and complex II (CII) by toxins 1‑methyl‑4‑phenylpyridinium (MPP+) and 3‑nitropropionic acid (3‑NPA) respectively, induced degenerative changes noted in such neurodegenerative diseases. We aimed to unravel the down‑stream pathways associated with CII inhibition and compared with CI inhibition and the Manganese (Mn) neurotoxicity. Genome‑wide transcriptomics of N27 neuronal cells exposed to 3‑NPA, compared with MPP+ and Mn revealed varied transcriptomic profle. Along with mitochondrial and synaptic pathways, Autophagy was the predominant pathway diferentially regulated in the 3‑NPA model with implications for neuronal survival. This pathway was unique to 3‑NPA, as substantiated by in silico modelling of the three toxins. Morphological and biochemical validation of autophagy markers in the cell model of 3‑NPA revealed incomplete autophagy mediated by mechanistic Target of Rapamycin Complex 2 (mTORC2) pathway. Interestingly, Brain Derived Neurotrophic Factor -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
Functional Characterization of TBR1 Variants in Neurodevelopmental Disorder Received: 14 May 2018 Joery Den Hoed1, Elliot Sollis1, Hanka Venselaar2, Sara B
www.nature.com/scientificreports OPEN Functional characterization of TBR1 variants in neurodevelopmental disorder Received: 14 May 2018 Joery den Hoed1, Elliot Sollis1, Hanka Venselaar2, Sara B. Estruch1, Pelagia Deriziotis1 & Accepted: 31 August 2018 Simon E. Fisher 1,3 Published: xx xx xxxx Recurrent de novo variants in the TBR1 transcription factor are implicated in the etiology of sporadic autism spectrum disorders (ASD). Disruptions include missense variants located in the T-box DNA- binding domain and previous work has demonstrated that they disrupt TBR1 protein function. Recent screens of thousands of simplex families with sporadic ASD cases uncovered additional T-box variants in TBR1 but their etiological relevance is unclear. We performed detailed functional analyses of de novo missense TBR1 variants found in the T-box of ASD cases, assessing many aspects of protein function, including subcellular localization, transcriptional activity and protein-interactions. Only two of the three tested variants severely disrupted TBR1 protein function, despite in silico predictions that all would be deleterious. Furthermore, we characterized a putative interaction with BCL11A, a transcription factor that was recently implicated in a neurodevelopmental syndrome involving developmental delay and language defcits. Our fndings enhance understanding of molecular functions of TBR1, as well as highlighting the importance of functional testing of variants that emerge from next-generation sequencing, to decipher their contributions to neurodevelopmental disorders like ASD. TBR1 (T-box brain, 1; OMIM *604616) encodes a neuron-specifc transcription factor of the T-box family1. Te TBR1 protein is highly expressed in the deep layers of the cortex, where it is involved in diferentiation of subsets of projection neurons2–4. -
Reduction of BCL11A in Hematopoietic Stem Cells Through
Science Bulletin 64 (2019) 1562–1564 Contents lists available at ScienceDirect Science Bulletin journal homepage: www.elsevier.com/locate/scib Research Highlight Reduction of BCL11A in hematopoietic stem cells through gene editing: new strategy to ameliorate the severe b-globin disorders sickle cell disease ⇑ Weiqi Hong, Mengyuan Huang, Yuquan Wei, Xiawei Wei Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China Site-specific gene editing is of great importance in precise Sickle-cell anemia is a prototypical monogenic disorder caused medicine. Two conventional genome editing methods, Zine finger by mutation of b-globin subunit. It is a promising therapy strategy nucleases (ZFNs) and transcription activator-like effector nucleases to induct fetal hemoglobin (HbF, a2c2) by re-expressing the paral- (TALENs), are based on protein-DNA recognition, with tedious ogous c-globin genes (HBG1/2) for severe b-globin disorders sickle work in constructing target protein [1,2]. Developed from immune cell disease (SCD) and b-thalassemia [9]. Researches in the past response of bacteria, CRISPR/Cas9 has been widely investigated as have shown that the core of the +58 erythroid enhancer of BCL11A a promising tool for therapeutic genome editing in clinical settings was crucial for repression of HBF in adult stage erythroid. Wu et al nowadays [3,4]. This system succeeds in gene deletion, insertion found that chemically modified synthetic sgRNAs (MS-sgRNAs) and frameshift mutations with higher efficiency, less cost, was more efficient than in vitro transcribed sgRNAs. Targeting improved flexibility and simplified designing process [5]. -
Transcriptome Alterations of Vascular Smooth Muscle Cells in Aortic Wall of Myocardial Infarction Patients
This document is downloaded from DR‑NTU (https://dr.ntu.edu.sg) Nanyang Technological University, Singapore. Transcriptome alterations of vascular smooth muscle cells in aortic wall of myocardial infarction patients Wongsurawat, Thidathip; Woo, Chin Cheng; Giannakakis, Antonis; Lin, Xiao Yun; Cheow, Esther Sok Hwee; Lee, Chuen Neng; Richards, Mark; Sze, Siu Kwan; Nookaew, Intawat; Sorokin, Vitaly; Kuznetsov, Vladimir Andreevich 2018 Wongsurawat, T., Woo, C. C., Giannakakis, A., Lin, X. Y., Cheow, E. S. H., Lee, C. N., et al. (2018). Transcriptome alterations of vascular smooth muscle cells in aortic wall of myocardial infarction patients. Data in Brief, 17, 1112‑1135. https://hdl.handle.net/10356/85590 https://doi.org/10.1016/j.dib.2018.01.108 © 2018 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Downloaded on 09 Oct 2021 06:21:01 SGT Data in Brief 17 (2018) 1112–1135 Contents lists available at ScienceDirect Data in Brief journal homepage: www.elsevier.com/locate/dib Data Article Transcriptome alterations of vascular smooth muscle cells in aortic wall of myocardial infarction patients Thidathip Wongsurawat a,b, Chin Cheng Woo c, Antonis Giannakakis a, Xiao Yun Lin d, Esther Sok Hwee Cheow e, Chuen Neng Lee c,d, Mark Richards f,g, Siu Kwan Sze e, Intawat Nookaew b, Vladimir A. Kuznetsov a,h, Vitaly Sorokin c,d,⁎ a Department of Genome and Gene Expression Data Analysis, Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), -
Characterization of Transcription Factor Networks Involved in Umbilical Cord Blood CD34+ Stem Cells-Derived Erythropoiesis
Characterization of Transcription Factor Networks Involved in Umbilical Cord Blood CD34+ Stem Cells-Derived Erythropoiesis Biaoru Li1, Lianghao Ding2, Chinrang Yang2, Baolin Kang1, Li Liu3, Michael D. Story2, Betty S. Pace1* 1 Department of Pediatrics, Hematology/Oncology Division, Georgia Regents University, Augusta, Georgia, United States of America, 2 Department of Radiation Oncology and Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America, 3 Department of Molecular and Cell Biology, University of Texas at Dallas, Richardson, Texas, United States of America Abstract Fetal stem cells isolated from umbilical cord blood (UCB) possess a great capacity for proliferation and differentiation and serve as a valuable model system to study gene regulation. Expanded knowledge of the molecular control of hemoglobin synthesis will provide a basis for rational design of therapies for b-hemoglobinopathies. Transcriptome data are available for erythroid progenitors derived from adult stem cells, however studies to define molecular mechanisms controlling globin gene regulation during fetal erythropoiesis are limited. Here, we utilize UCB-CD34+ stem cells induced to undergo erythroid differentiation to characterize the transcriptome and transcription factor networks (TFNs) associated with the c/b-globin switch during fetal erythropoiesis. UCB-CD34+ stem cells grown in the one-phase liquid culture system displayed a higher proliferative capacity than adult CD34+ stem cells. The c/b-globin switch was observed after day 42 during fetal erythropoiesis in contrast to adult progenitors where the switch occurred around day 21. To gain insights into transcription factors involved in globin gene regulation, microarray analysis was performed on RNA isolated from UCB-CD34+ cell-derived erythroid progenitors harvested on day 21, 42, 49 and 56 using the HumanHT-12 Expression BeadChip.