Multicilin Drives Centriole Biogenesis Via E2f Proteins
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The TP53 Apoptotic Network Is a Primary Mediator of Resistance to BCL2 Inhibition in AML Cells
Published OnlineFirst May 2, 2019; DOI: 10.1158/2159-8290.CD-19-0125 RESEARCH ARTICLE The TP53 Apoptotic Network Is a Primary Mediator of Resistance to BCL2 Inhibition in AML Cells Tamilla Nechiporuk1,2, Stephen E. Kurtz1,2, Olga Nikolova2,3, Tingting Liu1,2, Courtney L. Jones4, Angelo D’Alessandro5, Rachel Culp-Hill5, Amanda d’Almeida1,2, Sunil K. Joshi1,2, Mara Rosenberg1,2, Cristina E. Tognon1,2,6, Alexey V. Danilov1,2, Brian J. Druker1,2,6, Bill H. Chang2,7, Shannon K. McWeeney2,8, and Jeffrey W. Tyner1,2,9 ABSTRACT To study mechanisms underlying resistance to the BCL2 inhibitor venetoclax in acute myeloid leukemia (AML), we used a genome-wide CRISPR/Cas9 screen to identify gene knockouts resulting in drug resistance. We validated TP53, BAX, and PMAIP1 as genes whose inactivation results in venetoclax resistance in AML cell lines. Resistance to venetoclax resulted from an inability to execute apoptosis driven by BAX loss, decreased expression of BCL2, and/or reliance on alternative BCL2 family members such as BCL2L1. The resistance was accompanied by changes in mitochondrial homeostasis and cellular metabolism. Evaluation of TP53 knockout cells for sensitivities to a panel of small-molecule inhibitors revealed a gain of sensitivity to TRK inhibitors. We relate these observations to patient drug responses and gene expression in the Beat AML dataset. Our results implicate TP53, the apoptotic network, and mitochondrial functionality as drivers of venetoclax response in AML and suggest strategies to overcome resistance. SIGNIFICANCE: AML is challenging to treat due to its heterogeneity, and single-agent therapies have universally failed, prompting a need for innovative drug combinations. -
Synergistic Genetic Interactions Between Pkhd1 and Pkd1 Result in an ARPKD-Like Phenotype in Murine Models
BASIC RESEARCH www.jasn.org Synergistic Genetic Interactions between Pkhd1 and Pkd1 Result in an ARPKD-Like Phenotype in Murine Models Rory J. Olson,1 Katharina Hopp ,2 Harrison Wells,3 Jessica M. Smith,3 Jessica Furtado,1,4 Megan M. Constans,3 Diana L. Escobar,3 Aron M. Geurts,5 Vicente E. Torres,3 and Peter C. Harris 1,3 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background Autosomal recessive polycystic kidney disease (ARPKD) and autosomal dominant polycystic kidney disease (ADPKD) are genetically distinct, with ADPKD usually caused by the genes PKD1 or PKD2 (encoding polycystin-1 and polycystin-2, respectively) and ARPKD caused by PKHD1 (encoding fibrocys- tin/polyductin [FPC]). Primary cilia have been considered central to PKD pathogenesis due to protein localization and common cystic phenotypes in syndromic ciliopathies, but their relevance is questioned in the simple PKDs. ARPKD’s mild phenotype in murine models versus in humans has hampered investi- gating its pathogenesis. Methods To study the interaction between Pkhd1 and Pkd1, including dosage effects on the phenotype, we generated digenic mouse and rat models and characterized and compared digenic, monogenic, and wild-type phenotypes. Results The genetic interaction was synergistic in both species, with digenic animals exhibiting pheno- types of rapidly progressive PKD and early lethality resembling classic ARPKD. Genetic interaction be- tween Pkhd1 and Pkd1 depended on dosage in the digenic murine models, with no significant enhancement of the monogenic phenotype until a threshold of reduced expression at the second locus was breached. -
Transcriptome Analyses of Rhesus Monkey Pre-Implantation Embryos Reveal A
Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Transcriptome analyses of rhesus monkey pre-implantation embryos reveal a reduced capacity for DNA double strand break (DSB) repair in primate oocytes and early embryos Xinyi Wang 1,3,4,5*, Denghui Liu 2,4*, Dajian He 1,3,4,5, Shengbao Suo 2,4, Xian Xia 2,4, Xiechao He1,3,6, Jing-Dong J. Han2#, Ping Zheng1,3,6# Running title: reduced DNA DSB repair in monkey early embryos Affiliations: 1 State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 2 Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China 3 Yunnan Key Laboratory of Animal Reproduction, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 4 University of Chinese Academy of Sciences, Beijing, China 5 Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China 6 Primate Research Center, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China * Xinyi Wang and Denghui Liu contributed equally to this work 1 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press # Correspondence: Jing-Dong J. Han, Email: [email protected]; Ping Zheng, Email: [email protected] Key words: rhesus monkey, pre-implantation embryo, DNA damage 2 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Pre-implantation embryogenesis encompasses several critical events including genome reprogramming, zygotic genome activation (ZGA) and cell fate commitment. -
Dissertation
Dissertation submitted to the Combined Faculty of Natural Sciences and Mathematics of the Ruperto Carola University Heidelberg, Germany for the degree of Doctor of Natural Sciences Presented by Elisabeth Drucker, M.Sc. born in: Vienna, Austria Oral examination: 05/15/2019 FUNCTIONAL AND MECHANISTIC CHARACTERIZATION OF THE NUCLEAR IMPORT RECEPTOR KARYOPHERIN-α2 IN LIVER CANCER Referees: Prof. Dr. Ursula Klingmüller Prof. Dr. Kai Breuhahn For my mom, a woman who cherished the merit of wisdom. ABBREVIATIONS ABBREVIATIONS AASLD American Association for the Study of Liver Diseases AFLD Alcoholic fatty liver disease ASH Alcoholic steatohepatitis ATF-2 Activating transcription factor 2 BCLC Barcelona Clinic Liver Cancer BSA Bovine serum albumin CAS Cellular apoptosis susceptibility (also XPO2) CDC2 Cell division cycle protein 2 homolog (gene, also CDK1 (protein)) ChIP Chromatin immunoprecipitation ChIP-Seq ChIP (DNA) sequencing CoIP Co-immunoprecipitation CTNNB1 β-catenin COX2 Cyclooxygenase 2 CRM1 Chromosomal maintenance 1 (also XPO1) ctrl Control DMEM Dulbecco’s Modified Eagle Medium DMSO Dimethyl sulfoxide EASL European Association for the Study of the Liver EDTA Ethylenediaminetetraacetic acid FBP-1/2 Fuse binding protein 1/2 FCS Fetal calf serum FFPE Formalin-fixed paraffin-embedded FIR FBP-interacting repressor GMPS Guanosine monophosphate synthetase GTSF1 Gametocyte-specific factor 1 i ABBREVIATIONS HBV Hepatitis B virus HCV Hepatitis C virus HCC Hepatocellular carcinoma HGF Hepatocyte growth factor HMOX1 Heme oxygenase 1 H&E Hematoxylin -
DP1 (TFDP1) (NM 007111) Human Untagged Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for SC127935 DP1 (TFDP1) (NM_007111) Human Untagged Clone Product data: Product Type: Expression Plasmids Product Name: DP1 (TFDP1) (NM_007111) Human Untagged Clone Tag: Tag Free Symbol: TFDP1 Synonyms: DILC; Dp-1; DP1; DRTF1 Vector: pCMV6-XL4 E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: None Fully Sequenced ORF: >OriGene ORF within SC127935 sequence for NM_007111 edited (data generated by NextGen Sequencing) ATGGCAAAAGATGCCGGTCTAATTGAAGCCAACGGAGAACTCAAGGTCTTCATAGACCAG AACCTTAGTCCCGGGAAAGGCGTGGTGTCCCTCGTGGCCGTTCACCCCTCCACCGTCAAC CCGCTCGGGAAGCAGCTCTTGCCAAAAACCTTTGGACAGTCCAATGTCAACATTGCCCAG CAAGTGGTAATTGGTACGCCTCAGAGACCGGCAGCGTCAAACACCCTGGTGGTAGGAAGC CCACACACCCCCAGCACTCACTTTGCCTCTCAGAACCAGCCTTCCGACTCCTCACCTTGG TCTGCCGGGAAGCGCAACAGGAAAGGAGAGAAGAATGGCAAGGGCCTACGGCATTTCTCC ATGAAGGTCTGCGAGAAGGTGCAGAGGAAAGGGACCACTTCCTACAACGAAGTGGCAGAC GAGCTGGTTGCGGAGTTCAGTGCTGCCGACAACCACATCTTACCAAACGAGTCAGCTTAT GACCAGAAAAACATAAGACGGCGCGTCTACGATGCCTTAAACGTGCTAATGGCCATGAAC ATCATCTCCAAGGAGAAGAAGGAGATCAAGTGGATTGGTCTGCCCACCAACTCGGCTCAG GAATGTCAGAACTTAGAGGTGGAAAGACAGAGGAGACTTGAAAGAATAAAACAGAAACAG TCTCAACTTCAAGAACTTATTCTACAGCAAATTGCCTTCAAGAACCTGGTGCAGAGAAAC CGGCATGCGGAGCAGCAGGCCAGCCGGCCACCGCCACCCAACTCAGTCATCCACCTGCCC TTCATCATCGTCAACACCAGCAAGAAGACGGTCATCGACTGCAGCATCTCCAATGACAAA TTTGAGTATCTGTTTAATTTTGACAACACATTTGAAATCCACGATGACATAGAAGTGCTG AAGCGGATGGGCATGGCTTGCGGGCTGGAGTCGGGGAGCTGCTCTGCCGAAGACCTTAAA -
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. -
Supplementary Table S1. Prioritization of Candidate FPC Susceptibility Genes by Private Heterozygous Ptvs
Supplementary Table S1. Prioritization of candidate FPC susceptibility genes by private heterozygous PTVs Number of private Number of private Number FPC patient heterozygous PTVs in heterozygous PTVs in tumors with somatic FPC susceptibility Hereditary cancer Hereditary Gene FPC kindred BCCS samples mutation DNA repair gene Cancer driver gene gene gene pancreatitis gene ATM 19 1 - Yes Yes Yes Yes - SSPO 12 8 1 - - - - - DNAH14 10 3 - - - - - - CD36 9 3 - - - - - - TET2 9 1 - - Yes - - - MUC16 8 14 - - - - - - DNHD1 7 4 1 - - - - - DNMT3A 7 1 - - Yes - - - PKHD1L1 7 9 - - - - - - DNAH3 6 5 - - - - - - MYH7B 6 1 - - - - - - PKD1L2 6 6 - - - - - - POLN 6 2 - Yes - - - - POLQ 6 7 - Yes - - - - RP1L1 6 6 - - - - - - TTN 6 5 4 - - - - - WDR87 6 7 - - - - - - ABCA13 5 3 1 - - - - - ASXL1 5 1 - - Yes - - - BBS10 5 0 - - - - - - BRCA2 5 6 1 Yes Yes Yes Yes - CENPJ 5 1 - - - - - - CEP290 5 5 - - - - - - CYP3A5 5 2 - - - - - - DNAH12 5 6 - - - - - - DNAH6 5 1 1 - - - - - EPPK1 5 4 - - - - - - ESYT3 5 1 - - - - - - FRAS1 5 4 - - - - - - HGC6.3 5 0 - - - - - - IGFN1 5 5 - - - - - - KCP 5 4 - - - - - - LRRC43 5 0 - - - - - - MCTP2 5 1 - - - - - - MPO 5 1 - - - - - - MUC4 5 5 - - - - - - OBSCN 5 8 2 - - - - - PALB2 5 0 - Yes - Yes Yes - SLCO1B3 5 2 - - - - - - SYT15 5 3 - - - - - - XIRP2 5 3 1 - - - - - ZNF266 5 2 - - - - - - ZNF530 5 1 - - - - - - ACACB 4 1 1 - - - - - ALS2CL 4 2 - - - - - - AMER3 4 0 2 - - - - - ANKRD35 4 4 - - - - - - ATP10B 4 1 - - - - - - ATP8B3 4 6 - - - - - - C10orf95 4 0 - - - - - - C2orf88 4 0 - - - - - - C5orf42 4 2 - - - - -
Centrosome Impairment Causes DNA Replication Stress Through MLK3
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.09.898684; this version posted January 10, 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 4.0 International license. Centrosome impairment causes DNA replication stress through MLK3/MK2 signaling and R-loop formation Zainab Tayeh 1, Kim Stegmann 1, Antonia Kleeberg 1, Mascha Friedrich 1, Josephine Ann Mun Yee Choo 1, Bernd Wollnik 2, and Matthias Dobbelstein 1* 1) Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, Göttingen, Germany 2) Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany *Lead Contact. Correspondence and requests for materials should be addressed to M. D. (e-mail: [email protected]; ORCID 0000-0001-5052-3967) Running title: Centrosome integrity supports DNA replication Key words: Centrosome, CEP152, CCP110, SASS6, CEP152, Polo-like kinase 4 (PLK4), DNA replication, DNA fiber assays, R-loops, MLK3, MK2 alias MAPKAPK2, Seckel syndrome, microcephaly. Highlights: • Centrosome defects cause replication stress independent of mitosis. • MLK3, p38 and MK2 (alias MAPKAPK2) are signalling between centrosome defects and DNA replication stress through R-loop formation. • Patient-derived cells with defective centrosomes display replication stress, whereas inhibition of MK2 restores their DNA replication fork progression and proliferation. 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.01.09.898684; this version posted January 10, 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. -
Integrative Prediction of Gene Expression with Chromatin Accessibility and Conformation Data
bioRxiv preprint doi: https://doi.org/10.1101/704478; this version posted July 16, 2019. 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. Integrative prediction of gene expression with chromatin accessibility and conformation data Florian Schmidt1;2;3;y, Fabian Kern1;3;4;y, and Marcel H. Schulz1;2;3;5;6;∗ 1High-throughput Genomics & Systems Biology, Cluster of Excellence on Multimodal Computing and Interaction, Saarland Informatics Campus, 66123 Saarbr¨ucken Germany 2Computational Biology & Applied Algorithmics, Max-Planck Institute for Informatics, Saarland Informatics Campus, 66123 Saarbr¨ucken Germany 3Center for Bioinformatics, Saarland Informatics Campus, 66123 Saarbr¨ucken Germany 4Chair for Clinical Bioinformatics, Saarland Informatics Campus, 66123 Saarbr¨ucken Germany 5Institute of Cardiovascular Regeneration, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main Germany 6German Center for Cardiovascular Research, Partner site Rhein-Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main Germany y These authors contributed equally ∗ Correspondence: [email protected] Abstract Background: Enhancers play a fundamental role in orchestrating cell state and development. Al- though several methods have been developed to identify enhancers, linking them to their target genes is still an open problem. Several theories have been proposed on the functional mechanisms of en- hancers, which triggered the development of various methods to infer promoter enhancer interactions (PEIs). The advancement of high-throughput techniques describing the three-dimensional organisa- tion of the chromatin, paved the way to pinpoint long-range PEIs. -
Investigation of Differentially Expressed Genes in Nasopharyngeal Carcinoma by Integrated Bioinformatics Analysis
916 ONCOLOGY LETTERS 18: 916-926, 2019 Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis ZhENNING ZOU1*, SIYUAN GAN1*, ShUGUANG LIU2, RUjIA LI1 and jIAN hUANG1 1Department of Pathology, Guangdong Medical University, Zhanjiang, Guangdong 524023; 2Department of Pathology, The Eighth Affiliated hospital of Sun Yat‑sen University, Shenzhen, Guangdong 518033, P.R. China Received October 9, 2018; Accepted April 10, 2019 DOI: 10.3892/ol.2019.10382 Abstract. Nasopharyngeal carcinoma (NPC) is a common topoisomerase 2α and TPX2 microtubule nucleation factor), malignancy of the head and neck. The aim of the present study 8 modules, and 14 TFs were identified. Modules analysis was to conduct an integrated bioinformatics analysis of differ- revealed that cyclin-dependent kinase 1 and exportin 1 were entially expressed genes (DEGs) and to explore the molecular involved in the pathway of Epstein‑Barr virus infection. In mechanisms of NPC. Two profiling datasets, GSE12452 and summary, the hub genes, key modules and TFs identified in GSE34573, were downloaded from the Gene Expression this study may promote our understanding of the pathogenesis Omnibus database and included 44 NPC specimens and of NPC and require further in-depth investigation. 13 normal nasopharyngeal tissues. R software was used to identify the DEGs between NPC and normal nasopharyngeal Introduction tissues. Distributions of DEGs in chromosomes were explored based on the annotation file and the CYTOBAND database Nasopharyngeal carcinoma (NPC) is a common malignancy of DAVID. Gene ontology (GO) and Kyoto Encyclopedia of occurring in the head and neck. It is prevalent in the eastern Genes and Genomes (KEGG) pathway enrichment analysis and southeastern parts of Asia, especially in southern China, were applied. -
Cyclin-Dependent Kinase Control of Motile Ciliogenesis
RESEARCH ARTICLE Cyclin-dependent kinase control of motile ciliogenesis Eszter K Vladar1,2,3*, Miranda B Stratton4, Maxwell L Saal2,3, Glicella Salazar-De Simone5, Xiangyuan Wang6, Debra Wolgemuth6, Tim Stearns4,7, Jeffrey D Axelrod1 1Department of Pathology, Stanford University School of Medicine, Stanford, United States; 2Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, United States; 3Department of Cell and Developmental Biology, University of Colorado School of Medicine, Aurora, United States; 4Department of Biology, Stanford University, Stanford, United States; 5Center for Radiological Research, Columbia University Medical Center, New York, United States; 6Department of Genetics & Development, Columbia University Medical Center, New York, United States; 7Department of Genetics, Stanford University School of Medicine, Stanford, United States Abstract Cycling cells maintain centriole number at precisely two per cell in part by limiting their duplication to S phase under the control of the cell cycle machinery. In contrast, postmitotic multiciliated cells (MCCs) uncouple centriole assembly from cell cycle progression and produce hundreds of centrioles in the absence of DNA replication to serve as basal bodies for motile cilia. Although some cell cycle regulators have previously been implicated in motile ciliogenesis, how the cell cycle machinery is employed to amplify centrioles is unclear. We use transgenic mice and primary airway epithelial cell culture to show that Cdk2, the kinase responsible for the G1 to S phase transition, is also required in MCCs to initiate motile ciliogenesis. While Cdk2 is coupled with cyclins E and A2 during cell division, cyclin A1 is required during ciliogenesis, contributing to an *For correspondence: alternative regulatory landscape that facilitates centriole amplification without DNA replication. -
Cenpj Regulates Cilia Disassembly and Neurogenesis in the Developing Mouse Cortex
This Accepted Manuscript has not been copyedited and formatted. The final version may differ from this version. A link to any extended data will be provided when the final version is posted online. Research Articles: Development/Plasticity/Repair Cenpj regulates cilia disassembly and neurogenesis in the developing mouse cortex Wenyu Ding1,2, Qian Wu1,2, Le Sun1,2, Na Clara Pan1,2 and Xiaoqun Wang1,2,2 1State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China 2University of Chinese Academy of Sciences, Beijing 100049, China 3Beijing Institute for Brain Disorders, Beijing 100069, China https://doi.org/10.1523/JNEUROSCI.1849-18.2018 Received: 20 July 2018 Revised: 19 December 2018 Accepted: 24 December 2018 Published: 9 January 2019 Author contributions: W.D., Q.W., and X.W. designed research; W.D., Q.W., L.S., N.C.P., and X.W. performed research; W.D., Q.W., L.S., N.C.P., and X.W. analyzed data; W.D., Q.W., L.S., N.C.P., and X.W. edited the paper; W.D., Q.W., and X.W. wrote the paper; Q.W. and X.W. wrote the first draft of the paper; X.W. contributed unpublished reagents/analytic tools. Conflict of Interest: The authors declare no competing financial interests. We gratefully acknowledge Dr. Bradley Yoder (University of Alabama at Birmingham) kindly shared and transferred the mouse strain to us. We thank Dr. Tian Xue (University of Science and Technology of China) for sharing ARPE19 cell line with us.