Table SI. Characteristics of 9 Patients Chosen from 60 Patients with Hepatocellular Carcinoma
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The TNF and TNF Receptor Review Superfamilies: Integrating Mammalian Biology
Cell, Vol. 104, 487±501, February 23, 2001, Copyright 2001 by Cell Press The TNF and TNF Receptor Review Superfamilies: Integrating Mammalian Biology Richard M. Locksley,*²³k Nigel Killeen,²k The receptors and ligands in this superfamily have and Michael J. Lenardo§k unique structural attributes that couple them directly to *Department of Medicine signaling pathways for cell proliferation, survival, and ² Department of Microbiology and Immunology differentiation. Thus, they have assumed prominent ³ Howard Hughes Medical Institute roles in the generation of tissues and transient microen- University of California, San Francisco vironments. Most TNF/TNFR SFPs are expressed in the San Francisco, California 94143 immune system, where their rapid and potent signaling § Laboratory of Immunology capabilities are crucial in coordinating the proliferation National Institute of Allergy and Infectious Diseases and protective functions of pathogen-reactive cells. National Institutes of Health Here, we review the organization of the TNF/TNFR SF Bethesda, Maryland 20892 and how these proteins have been adapted for pro- cesses as seemingly disparate as host defense and or- ganogenesis. In interpreting this large and highly active Introduction area of research, we have focused on common themes that unite the actions of these genes in different tissues. Three decades ago, lymphotoxin (LT) and tumor necro- We also discuss the evolutionary success of this super- sis factor (TNF) were identified as products of lympho- familyÐsuccess that we infer from its expansion across cytes and macrophages that caused the lysis of certain the mammalian genome and from its many indispens- types of cells, especially tumor cells (Granger et al., able roles in mammalian biology. -
Supplemental Figure 1. Vimentin
Double mutant specific genes Transcript gene_assignment Gene Symbol RefSeq FDR Fold- FDR Fold- FDR Fold- ID (single vs. Change (double Change (double Change wt) (single vs. wt) (double vs. single) (double vs. wt) vs. wt) vs. single) 10485013 BC085239 // 1110051M20Rik // RIKEN cDNA 1110051M20 gene // 2 E1 // 228356 /// NM 1110051M20Ri BC085239 0.164013 -1.38517 0.0345128 -2.24228 0.154535 -1.61877 k 10358717 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 /// BC 1700025G04Rik NM_197990 0.142593 -1.37878 0.0212926 -3.13385 0.093068 -2.27291 10358713 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 1700025G04Rik NM_197990 0.0655213 -1.71563 0.0222468 -2.32498 0.166843 -1.35517 10481312 NM_027283 // 1700026L06Rik // RIKEN cDNA 1700026L06 gene // 2 A3 // 69987 /// EN 1700026L06Rik NM_027283 0.0503754 -1.46385 0.0140999 -2.19537 0.0825609 -1.49972 10351465 BC150846 // 1700084C01Rik // RIKEN cDNA 1700084C01 gene // 1 H3 // 78465 /// NM_ 1700084C01Rik BC150846 0.107391 -1.5916 0.0385418 -2.05801 0.295457 -1.29305 10569654 AK007416 // 1810010D01Rik // RIKEN cDNA 1810010D01 gene // 7 F5 // 381935 /// XR 1810010D01Rik AK007416 0.145576 1.69432 0.0476957 2.51662 0.288571 1.48533 10508883 NM_001083916 // 1810019J16Rik // RIKEN cDNA 1810019J16 gene // 4 D2.3 // 69073 / 1810019J16Rik NM_001083916 0.0533206 1.57139 0.0145433 2.56417 0.0836674 1.63179 10585282 ENSMUST00000050829 // 2010007H06Rik // RIKEN cDNA 2010007H06 gene // --- // 6984 2010007H06Rik ENSMUST00000050829 0.129914 -1.71998 0.0434862 -2.51672 -
Tools for Cell Therapy and Immunoregulation
RnDSy-lu-2945 Tools for Cell Therapy and Immunoregulation Target Cell TIM-4 SLAM/CD150 BTNL8 PD-L2/B7-DC B7-H1/PD-L1 (Human) Unknown PD-1 B7-1/CD80 TIM-1 SLAM/CD150 Receptor TIM Family SLAM Family Butyrophilins B7/CD28 Families T Cell Multiple Co-Signaling Molecules Co-stimulatory Co-inhibitory Ig Superfamily Regulate T Cell Activation Target Cell T Cell Target Cell T Cell B7-1/CD80 B7-H1/PD-L1 T cell activation requires two signals: 1) recognition of the antigenic peptide/ B7-1/CD80 B7-2/CD86 CTLA-4 major histocompatibility complex (MHC) by the T cell receptor (TCR) and 2) CD28 antigen-independent co-stimulation induced by interactions between B7-2/CD86 B7-H1/PD-L1 B7-1/CD80 co-signaling molecules expressed on target cells, such as antigen-presenting PD-L2/B7-DC PD-1 ICOS cells (APCs), and their T cell-expressed receptors. Engagement of the TCR in B7-H2/ICOS L 2Ig B7-H3 (Mouse) the absence of this second co-stimulatory signal typically results in T cell B7-H1/PD-L1 B7/CD28 Families 4Ig B7-H3 (Human) anergy or apoptosis. In addition, T cell activation can be negatively regulated Unknown Receptors by co-inhibitory molecules present on APCs. Therefore, integration of the 2Ig B7-H3 Unknown B7-H4 (Mouse) Receptors signals transduced by co-stimulatory and co-inhibitory molecules following TCR B7-H5 4Ig B7-H3 engagement directs the outcome and magnitude of a T cell response Unknown Ligand (Human) B7-H5 including the enhancement or suppression of T cell proliferation, B7-H7 Unknown Receptor differentiation, and/or cytokine secretion. -
IL17RB Antibody Cat
IL17RB Antibody Cat. No.: 62-448 IL17RB Antibody Formalin-fixed and paraffin-embedded human colon Flow cytometric analysis of HepG2 cells using IL17RB carcinoma reacted with IL17RB Antibody , which was Antibody (bottom histogram) compared to a negative peroxidase-conjugated to the secondary antibody, control cell (top histogram). FITC-conjugated goat-anti- followed by DAB staining. rabbit secondary antibodies were used for the analysis. Specifications HOST SPECIES: Rabbit SPECIES REACTIVITY: Human This IL17_ antibody is generated from rabbits immunized with a KLH conjugated synthetic IMMUNOGEN: peptide between 207-234 amino acids from the Central region of human IL17_. TESTED APPLICATIONS: Flow, IHC-P, WB For WB starting dilution is: 1:1000 APPLICATIONS: For IHC-P starting dilution is: 1:10~50 For FACS starting dilution is: 1:10~50 September 25, 2021 1 https://www.prosci-inc.com/il17rb-antibody-62-448.html PREDICTED MOLECULAR 56 kDa WEIGHT: Properties This antibody is prepared by Saturated Ammonium Sulfate (SAS) precipitation followed by PURIFICATION: dialysis CLONALITY: Polyclonal ISOTYPE: Rabbit Ig CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: Supplied in PBS with 0.09% (W/V) sodium azide. CONCENTRATION: batch dependent Store at 4˚C for three months and -20˚C, stable for up to one year. As with all antibodies STORAGE CONDITIONS: care should be taken to avoid repeated freeze thaw cycles. Antibodies should not be exposed to prolonged high temperatures. Additional Info OFFICIAL SYMBOL: IL17RB Interleukin-17 receptor B, IL-17 receptor B, IL-17RB, Cytokine receptor-like 4, IL-17 ALTERNATE NAMES: receptor homolog 1, IL-17Rh1, IL17Rh1, Interleukin-17B receptor, IL-17B receptor, IL17RB, CRL4, EVI27, IL17BR ACCESSION NO.: Q9NRM6 PROTEIN GI NO.: 21263748 GENE ID: 55540 USER NOTE: Optimal dilutions for each application to be determined by the researcher. -
An Autocrine Activinb Mechanism Drives TGF /Activin Signaling In
An autocrine ActivinB mechanism drives TGF β/Activin signaling in Group 3 medulloblastoma Morgane Morabito, Magalie Larcher, Florence M G Cavalli, Chloé Foray, Antoine Forget, Liliana Mirabal-ortega, Mamy Andrianteranagna, Sabine Druillennec, Alexandra Garancher, Julien Masliah-planchon, et al. To cite this version: Morgane Morabito, Magalie Larcher, Florence M G Cavalli, Chloé Foray, Antoine Forget, et al.. An autocrine ActivinB mechanism drives TGF β/Activin signaling in Group 3 medulloblastoma. EMBO Molecular Medicine, Wiley Open Access, 2019, 6, pp.e9830. 10.15252/emmm.201809830. hal-02347105 HAL Id: hal-02347105 https://hal.archives-ouvertes.fr/hal-02347105 Submitted on 5 Nov 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Article An autocrine ActivinB mechanism drives TGFb/ Activin signaling in Group 3 medulloblastoma Morgane Morabito1,2,3,4,5, Magalie Larcher1,2,3,4,5, Florence MG Cavalli6,7, Chloé Foray1,2,3,4,5, Antoine Forget1,2,3,4,5, Liliana Mirabal-Ortega1,2,3,4,5, Mamy Andrianteranagna5,8,9,10,11,12,13, Sabine Druillennec1,2,3,4,5, -
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 -
Role of the Wnt/ B-Catenin Pathway in Liver Development and Zonation
University of Bath PHD Role of the Wnt/ -catenin Pathway in Liver Development and Zonation Shen Wen, Yeh Award date: 2012 Awarding institution: University of Bath Link to publication Alternative formats If you require this document in an alternative format, please contact: [email protected] General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 10. Oct. 2021 Role of the Wnt/ -catenin Pathway in Liver Development and Zonation YEH, SHENG-WEN A thesis submitted for the degree of Doctor of Philosophy University of Bath Department of Biology and Biochemistry September, 2012 COPYRIGHT Attention is drawn to the fact that copyright of this thesis rests with the author. A copy of this thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with the author and that they must not copy it or use material from it except as permitted by law or with the consent of the author. -
A Meta-Analysis of the Inhibin Network Reveals Prognostic Value in Multiple Solid Tumors
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.25.171942; this version posted June 27, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 A meta-analysis of the inhibin network reveals prognostic value in multiple solid tumors Eduardo Listik1†, Ben Horst1,2†, Alex Seok Choi1, Nam. Y. Lee3, Balázs Győrffy4 and Karthikeyan Mythreye1 Affiliations: 1Department of Pathology, University of Alabama at Birmingham, Birmingham AL, USA, 35294. 2Department of Chemistry and Biochemistry, University of South Carolina, Columbia SC, USA, 29208. 3 Division of Pharmacology, Chemistry and Biochemistry, College of Medicine, University of Arizona, Tucson, AZ, 85721, USA. 4 TTK Cancer Biomarker Research Group, Institute of Enzymology, and Semmelweis University Department of Bioinformatics and 2nd Department of Pediatrics, Budapest, Hungary. Corresponding author: Karthikeyan Mythreye, Ph.D. Division of Molecular and Cellular Pathology, Department of Pathology, The University of Alabama at Birmingham. WTI 320B, 1824 Sixth Avenue South, Birmingham, AL, USA, 35294. Phone : +1 205.934.2746 E-mail : [email protected] †The authors contributed equally to this work. bioRxiv preprint doi: https://doi.org/10.1101/2020.06.25.171942; this version posted June 27, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. -
Supplementary Material
Supplementary Material Table S1: Significant downregulated KEGGs pathways identified by DAVID following exposure to five cinnamon- based phenylpropanoids (p < 0.05). p-value Term: Genes (Benjamini) Cytokine-cytokine receptor interaction: FASLG, TNFSF14, CXCL11, IL11, FLT3LG, CCL3L1, CCL3L3, CXCR6, XCR1, 2.43 × 105 RTEL1, CSF2RA, TNFRSF17, TNFRSF14, CCNL2, VEGFB, AMH, TNFRSF10B, INHBE, IFNB1, CCR3, VEGFA, CCR2, IL12A, CCL1, CCL3, CXCL5, TNFRSF25, CCR1, CSF1, CX3CL1, CCL7, CCL24, TNFRSF1B, IL12RB1, CCL21, FIGF, EPO, IL4, IL18R1, FLT1, TGFBR1, EDA2R, HGF, TNFSF8, KDR, LEP, GH2, CCL13, EPOR, XCL1, IFNA16, XCL2 Neuroactive ligand-receptor interaction: OPRM1, THRA, GRIK1, DRD2, GRIK2, TACR2, TACR1, GABRB1, LPAR4, 9.68 × 105 GRIK5, FPR1, PRSS1, GNRHR, FPR2, EDNRA, AGTR2, LTB4R, PRSS2, CNR1, S1PR4, CALCRL, TAAR5, GABRE, PTGER1, GABRG3, C5AR1, PTGER3, PTGER4, GABRA6, GABRA5, GRM1, PLG, LEP, CRHR1, GH2, GRM3, SSTR2, Chlorogenic acid Chlorogenic CHRM3, GRIA1, MC2R, P2RX2, TBXA2R, GHSR, HTR2C, TSHR, LHB, GLP1R, OPRD1 Hematopoietic cell lineage: IL4, CR1, CD8B, CSF1, FCER2, GYPA, ITGA2, IL11, GP9, FLT3LG, CD38, CD19, DNTT, 9.29 × 104 GP1BB, CD22, EPOR, CSF2RA, CD14, THPO, EPO, HLA-DRA, ITGA2B Cytokine-cytokine receptor interaction: IL6ST, IL21R, IL19, TNFSF15, CXCR3, IL15, CXCL11, TGFB1, IL11, FLT3LG, CXCL10, CCR10, XCR1, RTEL1, CSF2RA, IL21, CCNL2, VEGFB, CCR8, AMH, TNFRSF10C, IFNB1, PDGFRA, EDA, CXCL5, TNFRSF25, CSF1, IFNW1, CNTFR, CX3CL1, CCL5, TNFRSF4, CCL4, CCL27, CCL24, CCL25, CCL23, IFNA6, IFNA5, FIGF, EPO, AMHR2, IL2RA, FLT4, TGFBR2, EDA2R, -
Supplementary Table 1. Pain and PTSS Associated Genes (N = 604
Supplementary Table 1. Pain and PTSS associated genes (n = 604) compiled from three established pain gene databases (PainNetworks,[61] Algynomics,[52] and PainGenes[42]) and one PTSS gene database (PTSDgene[88]). These genes were used in in silico analyses aimed at identifying miRNA that are predicted to preferentially target this list genes vs. a random set of genes (of the same length). ABCC4 ACE2 ACHE ACPP ACSL1 ADAM11 ADAMTS5 ADCY5 ADCYAP1 ADCYAP1R1 ADM ADORA2A ADORA2B ADRA1A ADRA1B ADRA1D ADRA2A ADRA2C ADRB1 ADRB2 ADRB3 ADRBK1 ADRBK2 AGTR2 ALOX12 ANO1 ANO3 APOE APP AQP1 AQP4 ARL5B ARRB1 ARRB2 ASIC1 ASIC2 ATF1 ATF3 ATF6B ATP1A1 ATP1B3 ATP2B1 ATP6V1A ATP6V1B2 ATP6V1G2 AVPR1A AVPR2 BACE1 BAMBI BDKRB2 BDNF BHLHE22 BTG2 CA8 CACNA1A CACNA1B CACNA1C CACNA1E CACNA1G CACNA1H CACNA2D1 CACNA2D2 CACNA2D3 CACNB3 CACNG2 CALB1 CALCRL CALM2 CAMK2A CAMK2B CAMK4 CAT CCK CCKAR CCKBR CCL2 CCL3 CCL4 CCR1 CCR7 CD274 CD38 CD4 CD40 CDH11 CDK5 CDK5R1 CDKN1A CHRM1 CHRM2 CHRM3 CHRM5 CHRNA5 CHRNA7 CHRNB2 CHRNB4 CHUK CLCN6 CLOCK CNGA3 CNR1 COL11A2 COL9A1 COMT COQ10A CPN1 CPS1 CREB1 CRH CRHBP CRHR1 CRHR2 CRIP2 CRYAA CSF2 CSF2RB CSK CSMD1 CSNK1A1 CSNK1E CTSB CTSS CX3CL1 CXCL5 CXCR3 CXCR4 CYBB CYP19A1 CYP2D6 CYP3A4 DAB1 DAO DBH DBI DICER1 DISC1 DLG2 DLG4 DPCR1 DPP4 DRD1 DRD2 DRD3 DRD4 DRGX DTNBP1 DUSP6 ECE2 EDN1 EDNRA EDNRB EFNB1 EFNB2 EGF EGFR EGR1 EGR3 ENPP2 EPB41L2 EPHB1 EPHB2 EPHB3 EPHB4 EPHB6 EPHX2 ERBB2 ERBB4 EREG ESR1 ESR2 ETV1 EZR F2R F2RL1 F2RL2 FAAH FAM19A4 FGF2 FKBP5 FLOT1 FMR1 FOS FOSB FOSL2 FOXN1 FRMPD4 FSTL1 FYN GABARAPL1 GABBR1 GABBR2 GABRA2 GABRA4 -
Table S1| Differential Expression Analysis of the Atopy Transcriptome
Table S1| Differential expression analysis of the atopy transcriptome in CD4+ T-cell responses to allergens in atopic and nonatopic subjects Probe ID S.test Gene Symbol Gene Description Chromosome Statistic Location 7994280 10.32 IL4R Interleukin 4 receptor 16p11.2-12.1 8143383 8.95 --- --- --- 7974689 8.50 DACT1 Dapper, antagonist of beta-catenin, homolog 1 14q23.1 8102415 7.59 CAMK2D Calcium/calmodulin-dependent protein kinase II delta 4q26 7950743 7.58 RAB30 RAB30, member RAS oncogene family 11q12-q14 8136580 7.54 RAB19B GTP-binding protein RAB19B 7q34 8043504 7.45 MAL Mal, T-cell differentiation protein 2cen-q13 8087739 7.27 CISH Cytokine inducible SH2-containing protein 3p21.3 8000413 7.17 NSMCE1 Non-SMC element 1 homolog (S. cerevisiae) 16p12.1 8021301 7.15 RAB27B RAB27B, member RAS oncogene family 18q21.2 8143367 6.83 SLC37A3 Solute carrier family 37 member 3 7q34 8152976 6.65 TMEM71 Transmembrane protein 71 8q24.22 7931914 6.56 IL2R Interleukin 2 receptor, alpha 10p15-p14 8014768 6.43 PLXDC1 Plexin domain containing 1 17q21.1 8056222 6.43 DPP4 Dipeptidyl-peptidase 4 (CD26) 2q24.3 7917697 6.40 GFI1 Growth factor independent 1 1p22 7903507 6.39 FAM102B Family with sequence similarity 102, member B 1p13.3 7968236 5.96 RASL11A RAS-like, family 11, member A --- 7912537 5.95 DHRS3 Dehydrogenase/reductase (SDR family) member 3 1p36.1 7963491 5.83 KRT1 Keratin 1 (epidermolytic hyperkeratosis) 12q12-q13 7903786 5.72 CSF1 Colony stimulating factor 1 (macrophage) 1p21-p13 8019061 5.67 SGSH N-sulfoglucosamine sulfohydrolase (sulfamidase) 17q25.3