Behçet's Disease: Do Natural Killer Cells Play a Significant Role?
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
HLA Mismatching Favoring Host-Versus-Graft NK Cell Activity Via KIR3DL1 Is Associated With
HLA mismatching favoring host-versus-graft NK cell activity via KIR3DL1 is associated with improved outcomes following lung transplantation John R. Greenland1,2,6, Haibo Sun3, Daniel Calabrese2, Tiffany Chong2, Jonathan P. Singer2, Jasleen Kukreja4, Steven R. Hays2, Jeffrey A. Golden2,4, George H. Caughey1,2,5, Jeffrey M. Venstrom2, Raja Rajalinginam3 1 Medical Service, Veterans Affairs Medical Center, San Francisco CA, 94121 2 Department of Medicine, University of California, San Francisco CA, 94143 3 Immunogenetics and Transplantation Laboratory, Department of Surgery, University of California, San Francisco CA, 94143 4 Department of Surgery, University of California, San Francisco CA, 94143 5 Cardiovascular Research Institute, University of California, San Francisco CA, 94143 6 Corresponding author: [email protected] Running Title: HVG NK cell activity in lung transplantation Abbreviations: antigen presenting cell (APC), bronchiolitis obliterans syndrome (BOS), bronchoalveolar lavage (BAL), chronic lung allograft dysfunction (CLAD), confidence interval (CI), forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), hazard ratio (HR), host-versus-graft (HVG), Killer cell immunoglobulin-like receptor (KIR), Major Histocompatibility Complex (MHC), Natural Killer (NK), restrictive allograft syndrome (RAS), United Network for Organ Sharing (UNOS), University of California, San Francisco (UCSF) Abstract Chronic lung allograft dysfunction (CLAD) is linked to rejection and limits survival following lung transplantation. HLA-Bw4 recipients of HLA-Bw6 grafts have enhanced host-versus-graft (HVG) NK cell activity mediated by KIR3DL1 ligand. Because natural killer (NK) cells may promote tolerance by depleting antigen-presenting cells, we hypothesized improved outcomes for HLA-Bw4 recipients of HLA- Bw6 grafts. We evaluated differences in acute cellular rejection (ACR) and CLAD-free survival across 252 KIR3DL1+ recipients from UCSF. -
Downloaded the Normalized Gene Expression Profile from the GEO (Package Geoquery (5))
1 SUPPLEMENTARY MATERIALS 2 Supplementary Methods 3 Study design 4 The workflow to identify and validate the TME risk score and TME subtypes in gastric cancer is 5 depicted in Fig. S1. We first estimated the absolute abundance levels of the major stromal and 6 immune cell types in the TME using bulk gene expression data, and assessed the prognostic 7 effect of these cells in a discovery cohort. Next, we constructed a TME risk score and validated it 8 in two independent gene expression validation cohorts and three immunohistochemistry 9 validation cohorts. Finally, we stratified patients into four TME subtypes and examined their 10 genomic and molecular features and relation to established molecular subtypes. 11 Gene expression data 12 To explore the prognostic landscape of the TME, we used four gene expression profile (GEP) 13 datasets of resected gastric cancer patients with publicly available clinical information, namely, 14 ACRG (GSE62254) (1), GSE15459 (2), GSE84437 (3), and TCGA stomach adenocarcinoma 15 (STAD). Specifically, the raw microarray data in the ACRG cohort and GSE15459 were retrieved 16 from the Gene Expression Omnibus (GEO), and normalized by the RMA algorithm (package affy) 17 using custom chip definition files (Brainarray version 23 (4)) that convert Affymetrix probesets to 18 Entrez gene IDs. For GSE84437 dataset, which was measured by the Illumina platform, we 19 downloaded the normalized gene expression profile from the GEO (package GEOquery (5)). The 20 Illumina probes were also mapped to Entrez genes. For multiple probes mapping to the same 21 Entrez gene, we selected the one with the maximum mean expression level as the surrogate for 22 the Entrez gene using the function of collapseRows (6) (package WGCNA). -
Phyre 2 Results for A1YIY0
Email [email protected] Description A1YIY0 Tue Jul 30 13:19:15 BST Date 2013 Unique Job 1035bc4b501530df ID Detailed template information # Template Alignment Coverage 3D Model Confidence % i.d. Template Information PDB header:cell adhesion Chain: A: PDB Molecule:down syndrome cell adhesion molecule 1 c3dmkA_ Alignment 100.0 14 (dscam) isoform PDBTitle: crystal structure of down syndrome cell adhesion molecule (dscam)2 isoform 1.30.30, n-terminal eight ig domains PDB header:cell adhesion 2 c2om5A_ Alignment 100.0 20 Chain: A: PDB Molecule:contactin 2; PDBTitle: n-terminal fragment of human tax1 PDB header:cell adhesion 3 c3jxaA_ Alignment 100.0 21 Chain: A: PDB Molecule:contactin 4; PDBTitle: immunoglobulin domains 1-4 of mouse cntn4 PDB header:signaling protein/transferase Chain: A: PDB Molecule:tek tyrosine kinase variant; 4 c4k0vA_ 100.0 12 Alignment PDBTitle: structural basis for angiopoietin-1 mediated signaling initiation PDB header:immune system Chain: A: PDB Molecule:natural cytotoxicity triggering receptor 1; 5 c1p6fA_ 100.0 9 Alignment PDBTitle: structure of the human natural cytotoxicity receptor nkp46 PDB header:immune system/receptor 6 c1ollA_ Alignment 99.9 9 Chain: A: PDB Molecule:nk receptor; PDBTitle: extracellular region of the human receptor nkp46 PDB header:viral protein Chain: A: PDB Molecule:hoc head outer capsid protein; 7 c3shsA_ 99.9 18 Alignment PDBTitle: three n-terminal domains of the bacteriophage rb49 highly immunogenic2 outer capsid protein (hoc) PDB header:immune system Chain: E: PDB Molecule:natural -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Snipa Snpcard
SNiPAcard Block annotations Block info genomic range chr19:55,117,749-55,168,602 block size 50,854 bp variant count 74 variants Basic features Conservation/deleteriousness Linked genes μ = -0.557 [-4.065 – AC009892.10 , AC009892.5 , AC009892.9 , AC245036.1 , AC245036.2 , phyloP 2.368] gene(s) hit or close-by AC245036.3 , AC245036.4 , AC245036.5 , AC245036.6 , LILRA1 , LILRB1 , LILRB4 , MIR8061 , VN1R105P phastCons μ = 0.059 [0 – 0.633] eQTL gene(s) CTB-83J4.2 , LILRA1 , LILRA2 , LILRB2 , LILRB5 , LILRP1 μ = -0.651 [-4.69 – 2.07] AC008984.5 , AC008984.5 , AC008984.6 , AC008984.6 , AC008984.7 , AC008984.7 , AC009892.10 , AC009892.10 , AC009892.2 , AC009892.2 , AC009892.5 , AC010518.3 , AC010518.3 , AC011515.2 , AC011515.2 , AC012314.19 , AC012314.19 , FCAR , FCAR , FCAR , FCAR , FCAR , FCAR , FCAR , FCAR , FCAR , FCAR , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL1 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL3 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , KIR2DL4 , -
Human Lectins, Their Carbohydrate Affinities and Where to Find Them
biomolecules Review Human Lectins, Their Carbohydrate Affinities and Where to Review HumanFind Them Lectins, Their Carbohydrate Affinities and Where to FindCláudia ThemD. Raposo 1,*, André B. Canelas 2 and M. Teresa Barros 1 1, 2 1 Cláudia D. Raposo * , Andr1 é LAQVB. Canelas‐Requimte,and Department M. Teresa of Chemistry, Barros NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829‐516 Caparica, Portugal; [email protected] 12 GlanbiaLAQV-Requimte,‐AgriChemWhey, Department Lisheen of Chemistry, Mine, Killoran, NOVA Moyne, School E41 of ScienceR622 Co. and Tipperary, Technology, Ireland; canelas‐ [email protected] NOVA de Lisboa, 2829-516 Caparica, Portugal; [email protected] 2* Correspondence:Glanbia-AgriChemWhey, [email protected]; Lisheen Mine, Tel.: Killoran, +351‐212948550 Moyne, E41 R622 Tipperary, Ireland; [email protected] * Correspondence: [email protected]; Tel.: +351-212948550 Abstract: Lectins are a class of proteins responsible for several biological roles such as cell‐cell in‐ Abstract:teractions,Lectins signaling are pathways, a class of and proteins several responsible innate immune for several responses biological against roles pathogens. such as Since cell-cell lec‐ interactions,tins are able signalingto bind to pathways, carbohydrates, and several they can innate be a immuneviable target responses for targeted against drug pathogens. delivery Since sys‐ lectinstems. In are fact, able several to bind lectins to carbohydrates, were approved they by canFood be and a viable Drug targetAdministration for targeted for drugthat purpose. delivery systems.Information In fact, about several specific lectins carbohydrate were approved recognition by Food by andlectin Drug receptors Administration was gathered for that herein, purpose. plus Informationthe specific organs about specific where those carbohydrate lectins can recognition be found by within lectin the receptors human was body. -
Type of the Paper (Article
Supplementary figures and tables E g r 1 F g f2 F g f7 1 0 * 5 1 0 * * e e e * g g g * n n n * a a a 8 4 * 8 h h h * c c c d d d * l l l o o o * f f f * n n n o o o 6 3 6 i i i s s s s s s e e e r r r p p p x x x e e e 4 2 4 e e e n n n e e e g g g e e e v v v i i i t t t 2 1 2 a a a l l l e e e R R R 0 0 0 c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d J a k 2 N o tc h 2 H if1 * 3 4 6 * * * e e e g g g n n n a a * * a * h h * h c c c 3 * d d * d l l l * o o o f f 2 f 4 n n n o o o i i i s s s s s s e e e r r 2 r p p p x x x e e e e e e n n n e e 1 e 2 g g g e e 1 e v v v i i i t t t a a a l l l e e e R R R 0 0 0 c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d Z e b 2 C d h 1 S n a i1 * * 7 1 .5 4 * * e e e g g g 6 n n n * a a a * h h h c c c 3 * d d d l l l 5 o o o f f f 1 .0 * n n n * o o o i i i 4 * s s s s s s e e e r r r 2 p p p x x x 3 e e e e e e n n n e e e 0 .5 g g g 2 e e e 1 v v v i i i t t t a a a * l l l e e e 1 * R R R 0 0 .0 0 c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d M m p 9 L o x V im 2 0 0 2 0 8 * * * e e e * g g g 1 5 0 * n n n * a a a * h h h * c c c 1 5 * 6 d d d l l l 1 0 0 o o o f f f n n n o o o i i i 5 0 s s s s s s * e e e r r r 1 0 4 3 0 p p p * x x x e e e * e e e n n n e e e 2 0 g g g e e e 5 2 v v v i i i t t t a a a l l l 1 0 e e e R R R 0 0 0 c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d Supplementary Figure 1. -
By Macaque NK Cells Killer Cell Ig-Like Receptor 3DL Expressed
Degenerate Recognition of MHC Class I Molecules with Bw4 and Bw6 Motifs by a Killer Cell Ig-like Receptor 3DL Expressed by Macaque NK Cells This information is current as of September 29, 2021. Sebastien M. Maloveste, Dan Chen, Emma Gostick, Julian P. Vivian, Ronald J. Plishka, Ranjini Iyengar, Robin L. Kruthers, Alicia Buckler-White, Andrew G. Brooks, Jamie Rossjohn, David A. Price and Bernard A. P. Lafont J Immunol 2012; 189:4338-4348; Prepublished online 5 Downloaded from October 2012; doi: 10.4049/jimmunol.1201360 http://www.jimmunol.org/content/189/9/4338 http://www.jimmunol.org/ Supplementary http://www.jimmunol.org/content/suppl/2012/10/05/jimmunol.120136 Material 0.DC1 References This article cites 55 articles, 29 of which you can access for free at: http://www.jimmunol.org/content/189/9/4338.full#ref-list-1 by guest on September 29, 2021 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • 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 All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. -
KIR3DL1 and HLA-A and HLA-B Peptide-Dependent Interactions Between Cutting Edge: Allele-Specific
Cutting Edge: Allele-Specific and Peptide-Dependent Interactions between KIR3DL1 and HLA-A and HLA-B This information is current as Hathairat Thananchai, Geraldine Gillespie, Maureen P. of September 29, 2021. Martin, Arman Bashirova, Nobuyo Yawata, Makoto Yawata, Philippa Easterbrook, Daniel W. McVicar, Katsumi Maenaka, Peter Parham, Mary Carrington, Tao Dong and Sarah Rowland-Jones J Immunol 2007; 178:33-37; ; Downloaded from doi: 10.4049/jimmunol.178.1.33 http://www.jimmunol.org/content/178/1/33 References This article cites 28 articles, 12 of which you can access for free at: http://www.jimmunol.org/ http://www.jimmunol.org/content/178/1/33.full#ref-list-1 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 September 29, 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 © 2007 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. THE JOURNAL OF IMMUNOLOGY CUTTING EDGE Cutting Edge: Allele-Specific and Peptide-Dependent Interactions between KIR3DL1 and HLA-A and HLA-B1,2 † ‡ Hathairat Thananchai,* Geraldine Gillespie,* Maureen P. -
KRAS Mutations Are Negatively Correlated with Immunity in Colon Cancer
www.aging-us.com AGING 2021, Vol. 13, No. 1 Research Paper KRAS mutations are negatively correlated with immunity in colon cancer Xiaorui Fu1,2,*, Xinyi Wang1,2,*, Jinzhong Duanmu1, Taiyuan Li1, Qunguang Jiang1 1Department of Gastrointestinal Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China 2Queen Mary College, Medical Department, Nanchang University, Nanchang, Jiangxi, People's Republic of China *Equal contribution Correspondence to: Qunguang Jiang; email: [email protected] Keywords: KRAS mutations, immunity, colon cancer, tumor-infiltrating immune cells, inflammation Received: March 27, 2020 Accepted: October 8, 2020 Published: November 26, 2020 Copyright: © 2020 Fu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT The heterogeneity of colon cancer tumors suggests that therapeutics targeting specific molecules may be effective in only a few patients. It is therefore necessary to explore gene mutations in colon cancer. In this study, we obtained colon cancer samples from The Cancer Genome Atlas, and the International Cancer Genome Consortium. We evaluated the landscape of somatic mutations in colon cancer and found that KRAS mutations, particularly rs121913529, were frequent and had prognostic value. Using ESTIMATE analysis, we observed that the KRAS-mutated group had higher tumor purity, lower immune score, and lower stromal score than the wild- type group. Through single-sample Gene Set Enrichment Analysis and Gene Set Enrichment Analysis, we found that KRAS mutations negatively correlated with enrichment levels of tumor infiltrating lymphocytes, inflammation, and cytolytic activities. -
NK Cells: Receptors and Functions Eric Vivier and Sophie Ugolini
NK cells: receptors and functions Eric Vivier and Sophie Ugolini Natural killer (NK) cells were identified in 1975 as lymphocytes of the innate many processes that were originally restricted to adaptive immunity, such immune system that can kill tumour cells. Since then, NK cells have been as priming, education and memory, are now known to occur in NK cells. shown to kill an array of ‘stressed’ cells and secrete cytokines that Indeed, NK cells undergo sophisticated processes of adaptation that allow participate in shaping adaptive immune responses. A key feature of NK cells them to be tuned to their environment. There is also a growing interest in resides in their capacity to distinguish stressed cells (such as tumour cells, manipulating NK cells in innovative therapeutic settings. For example, the infected cells and damaged cells) from normal cells. Although NK cells are understanding of NK cell inhibition by MHC class I-specific receptors has generally considered to be components of early innate immune defence, prompted the design of innovative anticancer therapies. The NK cell detection system includes numerous receptors, Key receptors on human NK cells the engagement of which dictates the quality and intensity Inhibitory receptors Activating receptors, adhesion molecules or co-stimulatory molecules of the NK cell response. NK cells use inhibitory receptors to gauge the absence of constitutively expressed self molecules Target cell Nectin 2 SLAMF7 Sialic CLEC2D (CD112, PVRL2) NECL2 L-selectin NECL5 AICL NTB-A (CRACC, on susceptible target cells. As a consequence, NK cells can Receptors for MHC class I and class I-Iike molecules B7-H6 acid Cadherins (LLT1) CMV pp65 NECL5 (CADM1) (CD62L) (CD155, PVR) (CLEC2B) CEACAM1 (SLAMF6) CS1, CD319) recognize ‘missing self’ on haematopoietic cells. -
Supplementary Table S1. List of Differentially Expressed
Supplementary table S1. List of differentially expressed transcripts (FDR adjusted p‐value < 0.05 and −1.4 ≤ FC ≥1.4). 1 ID Symbol Entrez Gene Name Adj. p‐Value Log2 FC 214895_s_at ADAM10 ADAM metallopeptidase domain 10 3,11E‐05 −1,400 205997_at ADAM28 ADAM metallopeptidase domain 28 6,57E‐05 −1,400 220606_s_at ADPRM ADP‐ribose/CDP‐alcohol diphosphatase, manganese dependent 6,50E‐06 −1,430 217410_at AGRN agrin 2,34E‐10 1,420 212980_at AHSA2P activator of HSP90 ATPase homolog 2, pseudogene 6,44E‐06 −1,920 219672_at AHSP alpha hemoglobin stabilizing protein 7,27E‐05 2,330 aminoacyl tRNA synthetase complex interacting multifunctional 202541_at AIMP1 4,91E‐06 −1,830 protein 1 210269_s_at AKAP17A A‐kinase anchoring protein 17A 2,64E‐10 −1,560 211560_s_at ALAS2 5ʹ‐aminolevulinate synthase 2 4,28E‐06 3,560 212224_at ALDH1A1 aldehyde dehydrogenase 1 family member A1 8,93E‐04 −1,400 205583_s_at ALG13 ALG13 UDP‐N‐acetylglucosaminyltransferase subunit 9,50E‐07 −1,430 207206_s_at ALOX12 arachidonate 12‐lipoxygenase, 12S type 4,76E‐05 1,630 AMY1C (includes 208498_s_at amylase alpha 1C 3,83E‐05 −1,700 others) 201043_s_at ANP32A acidic nuclear phosphoprotein 32 family member A 5,61E‐09 −1,760 202888_s_at ANPEP alanyl aminopeptidase, membrane 7,40E‐04 −1,600 221013_s_at APOL2 apolipoprotein L2 6,57E‐11 1,600 219094_at ARMC8 armadillo repeat containing 8 3,47E‐08 −1,710 207798_s_at ATXN2L ataxin 2 like 2,16E‐07 −1,410 215990_s_at BCL6 BCL6 transcription repressor 1,74E‐07 −1,700 200776_s_at BZW1 basic leucine zipper and W2 domains 1 1,09E‐06 −1,570 222309_at