Gene Duplication and Alternative Splicing Play a Role in Modulating the Functions of the Znf286a Transcription Factor
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Precision Medicine for Human Cancers with Notch Signaling Dysregulation (Review)
INTERNATIONAL JOURNAL OF MOleCular meDICine 45: 279-297, 2020 Precision medicine for human cancers with Notch signaling dysregulation (Review) MASUKO KATOH1 and MASARU KATOH2 1M & M PrecMed, Tokyo 113-0033; 2Department of Omics Network, National Cancer Center, Tokyo 104-0045, Japan Received September 16, 2019; Accepted November 20, 2019 DOI: 10.3892/ijmm.2019.4418 Abstract. NOTCH1, NOTCH2, NOTCH3 and NOTCH4 are conjugate (ADC) Rova-T, and DLL3-targeting chimeric antigen transmembrane receptors that transduce juxtacrine signals of receptor‑modified T cells (CAR‑Ts), AMG 119, are promising the delta-like canonical Notch ligand (DLL)1, DLL3, DLL4, anti-cancer therapeutics, as are other ADCs or CAR-Ts targeting jagged canonical Notch ligand (JAG)1 and JAG2. Canonical tumor necrosis factor receptor superfamily member 17, Notch signaling activates the transcription of BMI1 proto-onco- CD19, CD22, CD30, CD79B, CD205, Claudin 18.2, fibro- gene polycomb ring finger, cyclin D1, CD44, cyclin dependent blast growth factor receptor (FGFR)2, FGFR3, receptor-type kinase inhibitor 1A, hes family bHLH transcription factor 1, tyrosine-protein kinase FLT3, HER2, hepatocyte growth factor hes related family bHLH transcription factor with YRPW receptor, NECTIN4, inactive tyrosine-protein kinase 7, inac- motif 1, MYC, NOTCH3, RE1 silencing transcription factor and tive tyrosine-protein kinase transmembrane receptor ROR1 transcription factor 7 in a cellular context-dependent manner, and tumor-associated calcium signal transducer 2. ADCs and while non-canonical Notch signaling activates NF-κB and Rac CAR-Ts could alter the therapeutic framework for refractory family small GTPase 1. Notch signaling is aberrantly activated cancers, especially diffuse-type gastric cancer, ovarian cancer in breast cancer, non-small-cell lung cancer and hematological and pancreatic cancer with peritoneal dissemination. -
Multifactorial Erβ and NOTCH1 Control of Squamous Differentiation and Cancer
Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks, … , Karine Lefort, G. Paolo Dotto J Clin Invest. 2014;124(5):2260-2276. https://doi.org/10.1172/JCI72718. Research Article Oncology Downmodulation or loss-of-function mutations of the gene encoding NOTCH1 are associated with dysfunctional squamous cell differentiation and development of squamous cell carcinoma (SCC) in skin and internal organs. While NOTCH1 receptor activation has been well characterized, little is known about how NOTCH1 gene transcription is regulated. Using bioinformatics and functional screening approaches, we identified several regulators of the NOTCH1 gene in keratinocytes, with the transcription factors DLX5 and EGR3 and estrogen receptor β (ERβ) directly controlling its expression in differentiation. DLX5 and ERG3 are required for RNA polymerase II (PolII) recruitment to the NOTCH1 locus, while ERβ controls NOTCH1 transcription through RNA PolII pause release. Expression of several identified NOTCH1 regulators, including ERβ, is frequently compromised in skin, head and neck, and lung SCCs and SCC-derived cell lines. Furthermore, a keratinocyte ERβ–dependent program of gene expression is subverted in SCCs from various body sites, and there are consistent differences in mutation and gene-expression signatures of head and neck and lung SCCs in female versus male patients. Experimentally increased ERβ expression or treatment with ERβ agonists inhibited proliferation of SCC cells and promoted NOTCH1 expression and squamous differentiation both in vitro and in mouse xenotransplants. Our data identify a link between transcriptional control of NOTCH1 expression and the estrogen response in keratinocytes, with implications for differentiation therapy of squamous cancer. Find the latest version: https://jci.me/72718/pdf Research article Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks,1,2 Paola Ostano,3 Seung-Hee Jo,1,2 Jun Dai,1,2 Spiro Getsios,4 Piotr Dziunycz,5 Günther F.L. -
Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes with Chromatin
cells Review Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes with Chromatin Agnieszka Bochy ´nska,Juliane Lüscher-Firzlaff and Bernhard Lüscher * ID Institute of Biochemistry and Molecular Biology, Medical School, RWTH Aachen University, Pauwelsstrasse 30, 52057 Aachen, Germany; [email protected] (A.B.); jluescher-fi[email protected] (J.L.-F.) * Correspondence: [email protected]; Tel.: +49-241-8088850; Fax: +49-241-8082427 Received: 18 January 2018; Accepted: 27 February 2018; Published: 2 March 2018 Abstract: Regulation of gene expression is achieved by sequence-specific transcriptional regulators, which convey the information that is contained in the sequence of DNA into RNA polymerase activity. This is achieved by the recruitment of transcriptional co-factors. One of the consequences of co-factor recruitment is the control of specific properties of nucleosomes, the basic units of chromatin, and their protein components, the core histones. The main principles are to regulate the position and the characteristics of nucleosomes. The latter includes modulating the composition of core histones and their variants that are integrated into nucleosomes, and the post-translational modification of these histones referred to as histone marks. One of these marks is the methylation of lysine 4 of the core histone H3 (H3K4). While mono-methylation of H3K4 (H3K4me1) is located preferentially at active enhancers, tri-methylation (H3K4me3) is a mark found at open and potentially active promoters. Thus, H3K4 methylation is typically associated with gene transcription. The class 2 lysine methyltransferases (KMTs) are the main enzymes that methylate H3K4. KMT2 enzymes function in complexes that contain a necessary core complex composed of WDR5, RBBP5, ASH2L, and DPY30, the so-called WRAD complex. -
PGC-1A Protects from Notch-Induced Kidney Fibrosis Development
BASIC RESEARCH www.jasn.org PGC-1a Protects from Notch-Induced Kidney Fibrosis Development † ‡ ‡ Seung Hyeok Han,* Mei-yan Wu, § Bo Young Nam, Jung Tak Park,* Tae-Hyun Yoo,* ‡ † † † † Shin-Wook Kang,* Jihwan Park, Frank Chinga, Szu-Yuan Li, and Katalin Susztak *Department of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea; †Renal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; ‡Severance Biomedical Science Institute, Brain Korea 21 PLUS, Yonsei University College of Medicine, Seoul, Korea; and §Department of Nephrology, The First Hospital of Jilin University, Changchun, China ABSTRACT Kidney fibrosis is the histologic manifestation of CKD. Sustained activation of developmental pathways, such as Notch, in tubule epithelial cells has been shown to have a key role in fibrosis development. The molecular mechanism of Notch-induced fibrosis, however, remains poorly understood. Here, we show that, that expression of peroxisomal proliferation g-coactivator (PGC-1a) and fatty acid oxidation-related genes are lower in mice expressing active Notch1 in tubular epithelial cells (Pax8-rtTA/ICN1) compared to littermate controls. Chromatin immunoprecipitation assays revealed that the Notch target gene Hes1 directly binds to the regulatory region of PGC-1a. Compared with Pax8-rtTA/ICN1 transgenic animals, Pax8-rtTA/ICN1/Ppargc1a transgenic mice showed improvement of renal structural alterations (on his- tology) and molecular defect (expression of profibrotic genes). Overexpression of PGC-1a restored mi- tochondrial content and reversed the fatty acid oxidation defect induced by Notch overexpression in vitro in tubule cells. Furthermore, compared with Pax8-rtTA/ICN1 mice, Pax8-rtTA/ICN1/Ppargc1a mice exhibited improvement in renal fatty acid oxidation gene expression and apoptosis. -
The NOTCH4-HEY1 Pathway Induces Epithelial Mesenchymal Transition in Head and Neck Squamous Cell Carcinoma
Author Manuscript Published OnlineFirst on November 16, 2017; DOI: 10.1158/1078-0432.CCR-17-1366 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. The NOTCH4-HEY1 pathway induces epithelial mesenchymal transition in head and neck squamous cell carcinoma Authors: Takahito Fukusumi1, Theresa W Guo2, Akihiro Sakai1, Mizuo Ando1, Shuling Ren1, Sunny Haft1, Chao Liu1, Panomwat Amornphimoltham1, J. Silvio Gutkind1, Joseph A Califano1 1 Moores Cancer Center, University of California San Diego, 3855 Health Science Drive, MC 0803 La Jolla, California 92093, U.S.A. 2 Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins Medical Institutions, 1550 Orleans Street, Baltimore, Maryland 21231, U.S.A. Running Title: NOTCH4-HEY1 induces EMT in HNSCC Key Words: Head and neck squamous cell carcinoma, TCGA, NOTCH4, HEY1, EMT Financial Support This study was supported by National Institute of Dental and Craniofacial Research (NIDCR, number: R01DE023347). J.A.Califano received this grant. Correspondence: Joseph A. Califano, MD, Department of Otolaryngology - Head and Neck Surgery, University of California San Diego, 3855 Health Science Drive, MC 0803 La Jolla, California 92093, U.S.A. Phone: 619-543-7895; E-mail; [email protected] Disclosure of Potential Conflict of Interest The authors declare no potential conflicts of interest. 1 Downloaded from clincancerres.aacrjournals.org on October 1, 2021. © 2017 American Association for Cancer Research. Author Manuscript Published OnlineFirst on November 16, 2017; DOI: 10.1158/1078-0432.CCR-17-1366 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. ABSTRACT Background: Recently, several comprehensive genomic analyses demonstrated NOTCH1 and NOTCH3 mutations in head and neck squamous cell carcinoma (HNSCC) in approximately 20% of cases. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
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 -
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Supplementary Figure S1. Results of flow cytometry analysis, performed to estimate CD34 positivity, after immunomagnetic separation in two different experiments. As monoclonal antibody for labeling the sample, the fluorescein isothiocyanate (FITC)- conjugated mouse anti-human CD34 MoAb (Mylteni) was used. Briefly, cell samples were incubated in the presence of the indicated MoAbs, at the proper dilution, in PBS containing 5% FCS and 1% Fc receptor (FcR) blocking reagent (Miltenyi) for 30 min at 4 C. Cells were then washed twice, resuspended with PBS and analyzed by a Coulter Epics XL (Coulter Electronics Inc., Hialeah, FL, USA) flow cytometer. only use Non-commercial 1 Supplementary Table S1. Complete list of the datasets used in this study and their sources. GEO Total samples Geo selected GEO accession of used Platform Reference series in series samples samples GSM142565 GSM142566 GSM142567 GSM142568 GSE6146 HG-U133A 14 8 - GSM142569 GSM142571 GSM142572 GSM142574 GSM51391 GSM51392 GSE2666 HG-U133A 36 4 1 GSM51393 GSM51394 only GSM321583 GSE12803 HG-U133A 20 3 GSM321584 2 GSM321585 use Promyelocytes_1 Promyelocytes_2 Promyelocytes_3 Promyelocytes_4 HG-U133A 8 8 3 GSE64282 Promyelocytes_5 Promyelocytes_6 Promyelocytes_7 Promyelocytes_8 Non-commercial 2 Supplementary Table S2. Chromosomal regions up-regulated in CD34+ samples as identified by the LAP procedure with the two-class statistics coded in the PREDA R package and an FDR threshold of 0.5. Functional enrichment analysis has been performed using DAVID (http://david.abcc.ncifcrf.gov/) -
Loss of Tgfb Receptor Type 2 Expression Impairs Estrogen Response and Confers Tamoxifen Resistance Susann Busch1, Andrew H
Cancer Tumor and Stem Cell Biology Research Loss of TGFb Receptor Type 2 Expression Impairs Estrogen Response and Confers Tamoxifen Resistance Susann Busch1, Andrew H. Sims2, Olle Sta l3,Ma rten Ferno€4, and Goran€ Landberg1,5 Abstract One third of the patients with estrogen receptor a (ERa)- tamoxifen resistance. Functional investigations confirmed that positive breast cancer who are treated with the antiestrogen cell cycle or apoptosis responses to estrogen or tamoxifen in tamoxifen will either not respond to initial therapy or will ERa-positive breast cancer cells were impaired by TGFBR2 develop drug resistance. Endocrine response involves crosstalk silencing, as was ERa phosphorylation, tamoxifen-induced between ERa and TGFb signaling, such that tamoxifen non- transcriptional activation of TGFb, and upregulation of the responsiveness or resistance in breast cancer might involve multidrug resistance protein ABCG2. Acquisition of low aberrant TGFb signaling. In this study, we analyzed TGFb TGFBR2 expression as a contributing factor to endocrine resis- receptor type 2 (TGFBR2) expression and correlated it with tance was validated prospectively in a tamoxifen-resistant cell ERa status and phosphorylation in a cohort of 564 patients line generated by long-term drug treatment. Collectively, our who had been randomized to tamoxifen or no-adjuvant treat- results established a central contribution of TGFb signaling in ment for invasive breast carcinoma. We also evaluated an endocrineresistanceinbreastcancerandofferedevidencethat additional four independent genetic datasets in invasive breast TGFBR2 can serve as an independent biomarker to predict cancer. In all the cohorts we analyzed, we documented an treatment outcomes in ERa-positive forms of this disease. association of low TGFBR2 protein and mRNA expression with Cancer Res; 75(7); 1457–69. -
I IDENTIFYING GENETIC MECHANISMS of CARDIOMETABOLIC
IDENTIFYING GENETIC MECHANISMS OF CARDIOMETABOLIC TRAITS AND DISEASES USING QUANTITATIVE SEQUENCE DATA Martin L. Buchkovich A dissertation submitted to the faculty at the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Curriculum in Bioinformatics and Computational Biology. Chapel Hill 2015 Approved by: Praveen Sethupathy Yun Li Gregory E. Crawford Terrence S. Furey Karen L. Mohlke i ©2015 Martin L. Buchkovich ALL RIGHTS RESERVED ii ABSTRACT Martin L. Buchkovich: Identifying genetic mechanisms of cardiometabolic traits and diseases using quantitative sequence data (Under the direction of Karen L. Mohlke and Terrence S. Furey) Cardiometabolic diseases are a worldwide health concern. Genetics studies have identified hundreds of genetic loci associated with these diseases and other cardiometabolic risk factors, but gaps remain in the understanding of the biological mechanisms responsible for these associations. Sequence data from quantitative experiments, such as DNase-seq and ChIP-seq, that identify genomic regions regulating gene transcription are helping to fill these gaps. Allelic imbalance at heterozygous sites, or enrichment of one allele, in this data can indicate allelic differences in transcriptional regulation, but reference mapping biases present in sequence alignments prevent accurate allelic imbalance detection. We describe a pipeline, AA-ALIGNER, that removes mapping biases at heterozygous sites and increases allelic imbalance detection accuracy in samples with any amount of genotype data available. When complete genotype information is not available, AA-ALIGNER more accurately detects allelic imbalance at imputed heterozygous sites than heterozygous sites predicted using the sequence data. At predicted heterozygous sites, imbalance detection is more accurate at common variants than other variants. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
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