Fluorescent Light Incites a Conserved Immune and Inflammatory
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
Pentraxin-2 Suppresses C-Jun/AP-1 Signaling to Inhibit Progressive Fibrotic Disease
Pentraxin-2 suppresses c-Jun/AP-1 signaling to inhibit progressive fibrotic disease Naoki Nakagawa, … , Sina A. Gharib, Jeremy S. Duffield JCI Insight. 2016;1(20):e87446. https://doi.org/10.1172/jci.insight.87446. Research Article Immunology Inflammation Pentraxin-2 (PTX-2), also known as serum amyloid P component (SAP/APCS), is a constitutive, antiinflammatory, innate immune plasma protein whose circulating level is decreased in chronic human fibrotic diseases. Here we show that recombinant human PTX-2 (rhPTX-2) retards progression of chronic kidney disease in Col4a3 mutant mice with Alport syndrome, reducing blood markers of kidney failure, enhancing lifespan by 20%, and improving histological signs of disease. Exogenously delivered rhPTX-2 was detected in macrophages but also in tubular epithelial cells, where it counteracted macrophage activation and was cytoprotective for the epithelium. Computational analysis of genes regulated by rhPTX-2 identified the transcriptional regulator c-Jun along with its activator protein–1 (AP-1) binding partners as a central target for the function of rhPTX-2. Accordingly, PTX-2 attenuates c-Jun and AP-1 activity, and reduces expression of AP-1–dependent inflammatory genes in both monocytes and epithelium. Our studies therefore identify rhPTX-2 as a potential therapy for chronic fibrotic disease of the kidney and an important inhibitor of pathological c-Jun signaling in this setting. Find the latest version: https://jci.me/87446/pdf RESEARCH ARTICLE Pentraxin-2 suppresses c-Jun/AP-1 signaling to inhibit progressive fibrotic disease Naoki Nakagawa,1,2,3 Luke Barron,4 Ivan G. Gomez,1,2,4 Bryce G. -
Expression Gene Network Analyses Reveal Molecular Mechanisms And
www.nature.com/scientificreports OPEN Diferential expression and co- expression gene network analyses reveal molecular mechanisms and candidate biomarkers involved in breast muscle myopathies in chicken Eva Pampouille1,2, Christelle Hennequet-Antier1, Christophe Praud1, Amélie Juanchich1, Aurélien Brionne1, Estelle Godet1, Thierry Bordeau1, Fréderic Fagnoul2, Elisabeth Le Bihan-Duval1 & Cécile Berri1* The broiler industry is facing an increasing prevalence of breast myopathies, such as white striping (WS) and wooden breast (WB), and the precise aetiology of these occurrences remains poorly understood. To progress our understanding of the structural changes and molecular pathways involved in these myopathies, a transcriptomic analysis was performed using an 8 × 60 K Agilent chicken microarray and histological study. The study used pectoralis major muscles from three groups: slow-growing animals (n = 8), fast-growing animals visually free from defects (n = 8), or severely afected by both WS and WB (n = 8). In addition, a weighted correlation network analysis was performed to investigate the relationship between modules of co-expressed genes and histological traits. Functional analysis suggested that selection for fast growing and breast meat yield has progressively led to conditions favouring metabolic shifts towards alternative catabolic pathways to produce energy, leading to an adaptive response to oxidative stress and the frst signs of infammatory, regeneration and fbrosis processes. All these processes are intensifed in muscles afected by severe myopathies, in which new mechanisms related to cellular defences and remodelling seem also activated. Furthermore, our study opens new perspectives for myopathy diagnosis by highlighting fne histological phenotypes and genes whose expression was strongly correlated with defects. Te poultry industry relies on the production of fast-growing chickens, which are slaughtered at high weights and intended for cutting and processing. -
Aquaporin Channels in the Heart—Physiology and Pathophysiology
International Journal of Molecular Sciences Review Aquaporin Channels in the Heart—Physiology and Pathophysiology Arie O. Verkerk 1,2,* , Elisabeth M. Lodder 2 and Ronald Wilders 1 1 Department of Medical Biology, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; [email protected] 2 Department of Experimental Cardiology, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; [email protected] * Correspondence: [email protected]; Tel.: +31-20-5664670 Received: 29 March 2019; Accepted: 23 April 2019; Published: 25 April 2019 Abstract: Mammalian aquaporins (AQPs) are transmembrane channels expressed in a large variety of cells and tissues throughout the body. They are known as water channels, but they also facilitate the transport of small solutes, gasses, and monovalent cations. To date, 13 different AQPs, encoded by the genes AQP0–AQP12, have been identified in mammals, which regulate various important biological functions in kidney, brain, lung, digestive system, eye, and skin. Consequently, dysfunction of AQPs is involved in a wide variety of disorders. AQPs are also present in the heart, even with a specific distribution pattern in cardiomyocytes, but whether their presence is essential for proper (electro)physiological cardiac function has not intensively been studied. This review summarizes recent findings and highlights the involvement of AQPs in normal and pathological cardiac function. We conclude that AQPs are at least implicated in proper cardiac water homeostasis and energy balance as well as heart failure and arsenic cardiotoxicity. However, this review also demonstrates that many effects of cardiac AQPs, especially on excitation-contraction coupling processes, are virtually unexplored. -
Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
Product Data Sheet
Product Data Sheet ExProfileTM Human AMPK Signaling Related Gene qPCR Array For focused group profiling of human AMPK signaling genes expression Cat. No. QG004-A (4 x 96-well plate, Format A) Cat. No. QG004-B (4 x 96-well plate, Format B) Cat. No. QG004-C (4 x 96-well plate, Format C) Cat. No. QG004-D (4 x 96-well plate, Format D) Cat. No. QG004-E (4 x 96-well plate, Format E) Plates available individually or as a set of 6. Each set contains 336 unique gene primer pairs deposited in one 96-well plate. Introduction The ExProfile human AMPK signaling related gene qPCR array profiles the expression of 336 human genes related to AMPK-mediated signal transduction. These genes are carefully chosen for their close pathway correlation based on a thorough literature search of peer-reviewed publications, mainly including genes that encode AMP-activated protein kinase complex,its regulators and targets involved in many important biological processes, such as glucose uptake, β-oxidation of fatty acids and modulation of insulin secretion. This array allows researchers to study the pathway-related genes to gain understanding of their roles in the different biological processes. QG004 plate 01: 84 unique gene PCR primer pairs QG004 plate 02: 84 unique gene PCR primer pairs QG004 plate 03: 84 unique gene PCR primer pairs QG004 plate 04: 84 unique gene PCR primer pairs Shipping and storage condition Shipped at room temperate Stable for at least 6 months when stored at -20°C Array format GeneCopoeia provides five qPCR array formats (A, B, C, D, and E) suitable for use with the following real- time cyclers. -
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. -
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). -
Profiling Data
Compound Name DiscoveRx Gene Symbol Entrez Gene Percent Compound Symbol Control Concentration (nM) JNK-IN-8 AAK1 AAK1 69 1000 JNK-IN-8 ABL1(E255K)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317I)-nonphosphorylated ABL1 87 1000 JNK-IN-8 ABL1(F317I)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317L)-nonphosphorylated ABL1 65 1000 JNK-IN-8 ABL1(F317L)-phosphorylated ABL1 61 1000 JNK-IN-8 ABL1(H396P)-nonphosphorylated ABL1 42 1000 JNK-IN-8 ABL1(H396P)-phosphorylated ABL1 60 1000 JNK-IN-8 ABL1(M351T)-phosphorylated ABL1 81 1000 JNK-IN-8 ABL1(Q252H)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(Q252H)-phosphorylated ABL1 56 1000 JNK-IN-8 ABL1(T315I)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(T315I)-phosphorylated ABL1 92 1000 JNK-IN-8 ABL1(Y253F)-phosphorylated ABL1 71 1000 JNK-IN-8 ABL1-nonphosphorylated ABL1 97 1000 JNK-IN-8 ABL1-phosphorylated ABL1 100 1000 JNK-IN-8 ABL2 ABL2 97 1000 JNK-IN-8 ACVR1 ACVR1 100 1000 JNK-IN-8 ACVR1B ACVR1B 88 1000 JNK-IN-8 ACVR2A ACVR2A 100 1000 JNK-IN-8 ACVR2B ACVR2B 100 1000 JNK-IN-8 ACVRL1 ACVRL1 96 1000 JNK-IN-8 ADCK3 CABC1 100 1000 JNK-IN-8 ADCK4 ADCK4 93 1000 JNK-IN-8 AKT1 AKT1 100 1000 JNK-IN-8 AKT2 AKT2 100 1000 JNK-IN-8 AKT3 AKT3 100 1000 JNK-IN-8 ALK ALK 85 1000 JNK-IN-8 AMPK-alpha1 PRKAA1 100 1000 JNK-IN-8 AMPK-alpha2 PRKAA2 84 1000 JNK-IN-8 ANKK1 ANKK1 75 1000 JNK-IN-8 ARK5 NUAK1 100 1000 JNK-IN-8 ASK1 MAP3K5 100 1000 JNK-IN-8 ASK2 MAP3K6 93 1000 JNK-IN-8 AURKA AURKA 100 1000 JNK-IN-8 AURKA AURKA 84 1000 JNK-IN-8 AURKB AURKB 83 1000 JNK-IN-8 AURKB AURKB 96 1000 JNK-IN-8 AURKC AURKC 95 1000 JNK-IN-8 -
CREB3L2-Pparg Fusion Mutation Identifies a Thyroid Signaling Pathway Regulated by Intramembrane Proteolysis
Research Article CREB3L2-PPARg Fusion Mutation Identifies a Thyroid Signaling Pathway Regulated by Intramembrane Proteolysis Weng-Onn Lui,3 Lingchun Zeng,1 Victoria Rehrmann,1 Seema Deshpande,5 Maria Tretiakova,1 Edwin L. Kaplan,2 Ingo Leibiger,3 Barbara Leibiger,3 Ulla Enberg,3 Anders Ho¨o¨g,4 Catharina Larsson,3 and Todd G. Kroll1 Departments of 1Pathology and 2Surgery, University of Chicago Medical Center, Chicago, Illinois; Departments of 3Molecular Medicine and Surgery and 4Oncology-Pathology, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden; and 5Department of Pathology, Emory University School of Medicine, Atlanta, Georgia Abstract cancer in patients; and (c) the implementation of effective molecular-targeted chemotherapies that have relatively few side The discovery of gene fusion mutations, particularly in effects. The discovery of fusion mutations is therefore important, leukemia, has consistently identified new cancer pathways particularly in carcinoma, the most common cancer group in and led to molecular diagnostic assays and molecular-targeted which few gene fusions have been identified (1). The recent chemotherapies for cancer patients. Here, we report our discoveries of ERG (2) and ALK (3) gene fusions in prostate and discovery of a novel CREB3L2-PPARg fusion mutation in lung carcinoma, respectively, increase the prospect that new thyroid carcinoma with t(3;7)(p25;q34), showing that a family diagnostic and therapeutic strategies based on gene fusions will of somatic PPARg fusion mutations exist in thyroid cancer. The be applicable to common epithelial cancers. CREB3L2-PPARg fusion encodes a CREB3L2-PPAR; fusion Families of gene fusions tend to characterize specific cancer protein that is composed of the transactivation domain of types. -
Self-Organized Amniogenesis by Human Pluripotent Stem Cells in a Biomimetic Implantation-Like Niche
LETTERS PUBLISHED ONLINE: 12 DECEMBER 2016 | DOI: 10.1038/NMAT4829 Self-organized amniogenesis by human pluripotent stem cells in a biomimetic implantation-like niche Yue Shao1†, Kenichiro Taniguchi2†, Katherine Gurdziel3, Ryan F. Townshend2, Xufeng Xue1, Koh Meng Aw Yong1, Jianming Sang1, Jason R. Spence2, Deborah L. Gumucio2* and Jianping Fu1,2,4* Amniogenesis—the development of amnion—is a critical factors seen in the in vivo amniogenic niche: a three-dimensional developmental milestone for early human embryogenesis (3D) extracellular matrix (ECM) that is provided by the basement and successful pregnancy1,2. However, human amniogenesis membrane surrounding the epiblast during implantation11; and a is poorly understood due to limited accessibility to peri- soft tissue bed provided by the uterine wall and trophoblast to implantation embryos and a lack of in vitro models. Here support the developing amnion (Fig. 1a,b). Since amniogenesis ini- we report an ecient biomaterial system to generate human tiates from the expanding pluripotent epiblast, we utilized mTeSR1 amnion-like tissue in vitro through self-organized development medium and basement membrane matrix (Geltrex) to render the of human pluripotent stem cells (hPSCs) in a bioengineered culture permissive for pluripotency maintenance. niche mimicking the in vivo implantation environment. We In this culture system, H9 human embryonic stem cells (hESCs) show that biophysical niche factors act as a switch to toggle were plated as single cells at 30,000 cells cm−2 onto a thick, hPSC self-renewal versus amniogenesis under self-renewal- soft gel bed of Geltrex (with thickness ≥100 µm, bulk Young's permissive biochemical conditions. We identify a unique modulus ∼900 Pa, coated on a glass coverslip), in mTeSR1 medium molecular signature of hPSC-derived amnion-like cells and supplemented with the ROCK inhibitor Y27632 (Fig. -
Expanding the Phenotypic Spectrum of PAX6 Mutations: from Congenital Cataracts to Nystagmus
G C A T T A C G G C A T genes Article Expanding the Phenotypic Spectrum of PAX6 Mutations: From Congenital Cataracts to Nystagmus Maria Nieves-Moreno 1,* , Susana Noval 1 , Jesus Peralta 1, María Palomares-Bralo 2 , Angela del Pozo 3 , Sixto Garcia-Miñaur 4, Fernando Santos-Simarro 4 and Elena Vallespin 5 1 Department of Ophthalmology, Hospital Universitario La Paz, 28046 Madrid, Spain; [email protected] (S.N.); [email protected] (J.P.) 2 Department of Molecular Developmental Disorders, Medical and Molecular Genetics Institue (INGEMM) IdiPaz, CIBERER, Hospital Universitario La Paz, 28046 Madrid, Spain; [email protected] 3 Department of Bioinformatics, Medical and Molecular Genetics Institue (INGEMM) IdiPaz, CIBERER, Hospital Universitario La Paz, 28046 Madrid, Spain; [email protected] 4 Department of Clinical Genetics, Medical and Molecular Genetics Institue (INGEMM) IdiPaz, CIBERER, Hospital Universitario La Paz, 28046 Madrid, Spain; [email protected] (S.G.-M.); [email protected] (F.S.-S.) 5 Department of Molecular Ophthalmology, Medical and Molecular Genetics Institue (INGEMM) IdiPaz, CIBERER, Hospital Universitario La Paz, 28046 Madrid, Spain; [email protected] * Correspondence: [email protected] Abstract: Background: Congenital aniridia is a complex ocular disorder, usually associated with severe visual impairment, generally caused by mutations on the PAX6 gene. The clinical phenotype of PAX6 mutations is highly variable, making the genotype–phenotype correlations difficult to establish. Methods: we describe the phenotype of eight patients from seven unrelated families Citation: Nieves-Moreno, M.; Noval, with confirmed mutations in PAX6, and very different clinical manifestations.