Single-Cell Transcriptomic Profiling of Progenitors of the Oligodendrocyte Lineage Reveals Transcriptional Convergence During Development
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Implications of Zonal Architecture on Differential Gene Expression
www.nature.com/scientificreports OPEN Implications of zonal architecture on diferential gene expression profling and altered pathway expressions in mandibular condylar cartilage Aisha M. Basudan1*, Mohammad Azhar Aziz2 & Yanqi Yang3 Mandibular condylar cartilage (MCC) is a multi-zonal heterogeneous fbrocartilage containing diferent types of cells, but the factors/mechanisms governing the phenotypic transition across the zones have not been fully understood. The reliability of molecular studies heavily rely on the procurement of pure cell populations from the heterogeneous tissue. We used a combined laser-capture microdissection and microarray analysis approach which allowed identifcation of diferential zone-specifc gene expression profling and altered pathways in the MCC of 5-week-old rats. The bioinformatics analysis demonstrated that the MCC cells clearly exhibited distinguishable phenotypes from the articular chondrocytes. Additionally, a set of genes has been determined as potential markers to identify each MCC zone individually; Crab1 gene showed the highest enrichment while Clec3a was the most downregulated gene at the superfcial layer, which consists of fbrous (FZ) and proliferative zones (PZ). Ingenuity Pathway Analysis revealed numerous altered signaling pathways; Leukocyte extravasation signaling pathway was predicted to be activated at all MCC zones, in particular mature and hypertrophic chondrocytes zones (MZ&HZ), when compared with femoral condylar cartilage (FCC). Whereas Superpathway of Cholesterol Biosynthesis showed predicted activation in both FZ and PZ as compared with deep MCC zones and FCC. Determining novel zone-specifc diferences of large group of potential genes, upstream regulators and pathways in healthy MCC would improve our understanding of molecular mechanisms on regional (zonal) basis, and provide new insights for future therapeutic strategies. -
Anti-GRIK1 / Glur5 Antibody (ARG59676)
Product datasheet [email protected] ARG59676 Package: 50 μg anti-GRIK1 / GluR5 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes GRIK1 / GluR5 Tested Reactivity Hu, Ms, Rat Tested Application IHC-P, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name GRIK1 / GluR5 Species Human Immunogen Recombinant protein corresponding to R271-I450 of Human GRIK1. Conjugation Un-conjugated Alternate Names GluR5; GluK1; GLUR5; EEA3; GluR-5; Excitatory amino acid receptor 3; Glutamate receptor ionotropic, kainate 1; EAA3; Glutamate receptor 5; GLR5 Application Instructions Application table Application Dilution IHC-P 1:200 - 1:1000 WB 0.1 - 0.5 µg/ml Application Note IHC-P: Antigen Retrieval: Heat mediation was performed in Citrate buffer (pH 6.0) for 20 min. * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Properties Form Liquid Purification Affinity purification with immunogen. Buffer 0.9% NaCl, 0.2% Na2HPO4, 0.05% Sodium azide and 5% BSA. Preservative 0.05% Sodium azide Stabilizer 5% BSA Concentration 0.5 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. www.arigobio.com 1/4 Bioinformation Gene Symbol GRIK1 Gene Full Name glutamate receptor, ionotropic, kainate 1 Background Glutamate receptors are the predominant excitatory neurotransmitter receptors in the mammalian brain and are activated in a variety of normal neurophysiologic processes. -
Chr21 Protein-Protein Interactions: Enrichment in Products Involved in Intellectual Disabilities, Autism and Late Onset Alzheimer Disease
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.11.872606; this version posted December 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Chr21 protein-protein interactions: enrichment in products involved in intellectual disabilities, autism and Late Onset Alzheimer Disease Julia Viard1,2*, Yann Loe-Mie1*, Rachel Daudin1, Malik Khelfaoui1, Christine Plancon2, Anne Boland2, Francisco Tejedor3, Richard L. Huganir4, Eunjoon Kim5, Makoto Kinoshita6, Guofa Liu7, Volker Haucke8, Thomas Moncion9, Eugene Yu10, Valérie Hindie9, Henri Bléhaut11, Clotilde Mircher12, Yann Herault13,14,15,16,17, Jean-François Deleuze2, Jean- Christophe Rain9, Michel Simonneau1, 18, 19, 20** and Aude-Marie Lepagnol- Bestel1** 1 Centre Psychiatrie & Neurosciences, INSERM U894, 75014 Paris, France 2 Laboratoire de génomique fonctionnelle, CNG, CEA, Evry 3 Instituto de Neurociencias CSIC-UMH, Universidad Miguel Hernandez-Campus de San Juan 03550 San Juan (Alicante), Spain 4 Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA 5 Center for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon 34141, Republic of Korea 6 Department of Molecular Biology, Division of Biological Science, Nagoya University Graduate School of Science, Furo, Chikusa, Nagoya, Japan 7 Department of Biological Sciences, University of Toledo, Toledo, OH, 43606, USA 8 Leibniz Forschungsinstitut für Molekulare Pharmakologie -
Case-Control Study of GRIA1 and GRIA3 Gene Variants in Migraine Jie Fang1, Xingkai An1, Shuai Chen2, Zhenzhen Yu1, Qilin Ma1,2* and Hongli Qu1*
Fang et al. The Journal of Headache and Pain (2016) 17:2 DOI 10.1186/s10194-016-0592-2 RESEARCH ARTICLE Open Access Case-control study of GRIA1 and GRIA3 gene variants in migraine Jie Fang1, Xingkai An1, Shuai Chen2, Zhenzhen Yu1, Qilin Ma1,2* and Hongli Qu1* Abstract Background: As the most abundant excitatory neurotransmitter in the central nervous system, glutamate has been accepted to play a major role in the pathophysiology of migraine. The previous studies have reported the glutamate receptor ionotropic GRIA1 and GRIA3 genes variants associated with migraine. The project aims to investigate the polymorphisms in both genes for their association with migraine in the Chinese Han population. Methods: A Han-Chinese case-control population, including 331 unrelated female migraine patients and 330 matched controls, was studied. Variants in genes (GRIA1 and GRIA3) were genotyped by Multiplex SNaPshot assay. Results: In the group of patients, the frequency of allele C was 84.1 % (557 C alleles) and allele T was 15.9 % (105 T alleles) for the GRIA1 (rs2195450) in migraineurs, this was significantly as compared with the controls (P = .001, OR = 1.786, 95 % CI: 1.28–2.49). And an association was also seen in the migraine with aura (MA) subtype (P = .012, OR = 2.092, 95 % CI: 1.17–3.76) and migraine without aura (MO) subtype (P =.002,OR=1.737, 95 % CI: 1.23–2.45). However, no evidence was found that GRIA1 (rs548294) or GRIA3 (rs3761555) is associated with migraine. Conclusion: Our data of this study confirmed the association of GRIA1 (rs2195450) to female migraine (MA, MO) susceptibility in the Chinese Han population. -
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 -
Coupling of Autism Genes to Tissue-Wide Expression and Dysfunction of Synapse, Calcium Signalling and Transcriptional Regulation
PLOS ONE RESEARCH ARTICLE Coupling of autism genes to tissue-wide expression and dysfunction of synapse, calcium signalling and transcriptional regulation 1 2,3 4 1,5 Jamie ReillyID *, Louise Gallagher , Geraldine Leader , Sanbing Shen * 1 Regenerative Medicine Institute, School of Medicine, Biomedical Science Building, National University of a1111111111 Ireland (NUI) Galway, Galway, Ireland, 2 Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland, 3 Trinity Translational Medicine Institute, Trinity Centre for Health SciencesÐTrinity College a1111111111 Dublin, St. James's Hospital, Dublin, Ireland, 4 Irish Centre for Autism and Neurodevelopmental Research a1111111111 (ICAN), Department of Psychology, National University of Ireland (NUI) Galway, Galway, Ireland, a1111111111 5 FutureNeuro Research Centre, Royal College of Surgeons in Ireland (RCSI), Dublin, Ireland a1111111111 * [email protected] (JR); [email protected] (SS) Abstract OPEN ACCESS Citation: Reilly J, Gallagher L, Leader G, Shen S Autism Spectrum Disorder (ASD) is a heterogeneous disorder that is often accompanied (2020) Coupling of autism genes to tissue-wide with many co-morbidities. Recent genetic studies have identified various pathways from expression and dysfunction of synapse, calcium hundreds of candidate risk genes with varying levels of association to ASD. However, it is signalling and transcriptional regulation. PLoS ONE unknown which pathways are specific to the core symptoms or which are shared by the co- 15(12): e0242773. https://doi.org/10.1371/journal. pone.0242773 morbidities. We hypothesised that critical ASD candidates should appear widely across dif- ferent scoring systems, and that comorbidity pathways should be constituted by genes Editor: Nirakar Sahoo, The University of Texas Rio Grande Valley, UNITED STATES expressed in the relevant tissues. -
Mechanisms Underlying the EEG Biomarker in Dup15q Syndrome Joel Frohlich1,2,3* , Lawrence T
Frohlich et al. Molecular Autism (2019) 10:29 https://doi.org/10.1186/s13229-019-0280-6 RESEARCH Open Access Mechanisms underlying the EEG biomarker in Dup15q syndrome Joel Frohlich1,2,3* , Lawrence T. Reiter4, Vidya Saravanapandian2, Charlotte DiStefano2, Scott Huberty2,5, Carly Hyde2, Stormy Chamberlain6, Carrie E. Bearden7, Peyman Golshani8, Andrei Irimia9, Richard W. Olsen10, Joerg F. Hipp1† and Shafali S. Jeste2† Abstract Background: Duplications of 15q11.2-q13.1 (Dup15q syndrome), including the paternally imprinted gene UBE3A and three nonimprinted gamma-aminobutyric acid type-A (GABAA) receptor genes, are highly penetrant for neurodevelopmental disorders such as autism spectrum disorder (ASD). To guide targeted treatments of Dup15q syndrome and other forms of ASD, biomarkers are needed that reflect molecular mechanisms of pathology. We recently described a beta EEG phenotype of Dup15q syndrome, but it remains unknown which specific genes drive this phenotype. Methods: To test the hypothesis that UBE3A overexpression is not necessary for the beta EEG phenotype, we compared EEG from a reference cohort of children with Dup15q syndrome (n = 27) to (1) the pharmacological effects of the GABAA modulator midazolam (n = 12) on EEG from healthy adults, (2) EEG from typically developing (TD) children (n = 14), and (3) EEG from two children with duplications of paternal 15q (i.e., the UBE3A-silenced allele). Results: Peak beta power was significantly increased in the reference cohort relative to TD controls. Midazolam administration recapitulated the beta EEG phenotype in healthy adults with a similar peak frequency in central channels (f = 23.0 Hz) as Dup15q syndrome (f = 23.1 Hz). -
Predicting FOXM1-Mediated Gene Regulation Through the Analysis of Genome-Wide FOXM1 Binding Sites in MCF-7, K562, SK-N-SH, GM12878 and ECC-1 Cell Lines
International Journal of Molecular Sciences Article Predicting FOXM1-Mediated Gene Regulation through the Analysis of Genome-Wide FOXM1 Binding Sites in MCF-7, K562, SK-N-SH, GM12878 and ECC-1 Cell Lines 1, , 2, 1 3,4 Keunsoo Kang * y, Yoonjung Choi y, Hoo Hyun Kim , Kyung Hyun Yoo and Sungryul Yu 5,* 1 Department of Microbiology, College of Science & Technology, Dankook University, Cheonan 31116, Korea; [email protected] 2 Deargen Inc., Daejeon 34051, Korea; [email protected] 3 Laboratory of Biomedical Genomics, Department of Biological Sciences, Sookmyung Women’s University, Seoul 04310, Korea; [email protected] 4 Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Korea 5 Department of Clinical Laboratory Science, Semyung University, Jecheon 27136, Korea * Correspondence: [email protected] (K.K.); [email protected] (S.Y.); Tel.: +82-41-550-3456 (K.K.); +82-43-649-1418 (S.Y.) These authors contributed equally to the work. y Received: 22 June 2020; Accepted: 24 August 2020; Published: 26 August 2020 Abstract: Forkhead box protein M1 (FOXM1) is a key transcription factor (TF) that regulates a common set of genes related to the cell cycle in various cell types. However, the mechanism by which FOXM1 controls the common gene set in different cellular contexts is unclear. In this study, a comprehensive meta-analysis of genome-wide FOXM1 binding sites in ECC-1, GM12878, K562, MCF-7, and SK-N-SH cell lines was conducted to predict FOXM1-driven gene regulation. Consistent with previous studies, different TF binding motifs were identified at FOXM1 binding sites, while the NFY binding motif was found at 81% of common FOXM1 binding sites in promoters of cell cycle-related genes. -
Sex Differences in Glutamate Receptor Gene Expression in Major Depression and Suicide
Molecular Psychiatry (2015) 20, 1057–1068 © 2015 Macmillan Publishers Limited All rights reserved 1359-4184/15 www.nature.com/mp IMMEDIATE COMMUNICATION Sex differences in glutamate receptor gene expression in major depression and suicide AL Gray1, TM Hyde2,3, A Deep-Soboslay2, JE Kleinman2 and MS Sodhi1,4 Accumulating data indicate that the glutamate system is disrupted in major depressive disorder (MDD), and recent clinical research suggests that ketamine, an antagonist of the N-methyl-D-aspartate (NMDA) glutamate receptor (GluR), has rapid antidepressant efficacy. Here we report findings from gene expression studies of a large cohort of postmortem subjects, including subjects with MDD and controls. Our data reveal higher expression levels of the majority of glutamatergic genes tested in the dorsolateral prefrontal cortex (DLPFC) in MDD (F21,59 = 2.32, P = 0.006). Posthoc data indicate that these gene expression differences occurred mostly in the female subjects. Higher expression levels of GRIN1, GRIN2A-D, GRIA2-4, GRIK1-2, GRM1, GRM4, GRM5 and GRM7 were detected in the female patients with MDD. In contrast, GRM5 expression was lower in male MDD patients relative to male controls. When MDD suicides were compared with MDD non-suicides, GRIN2B, GRIK3 and GRM2 were expressed at higher levels in the suicides. Higher expression levels were detected for several additional genes, but these were not statistically significant after correction for multiple comparisons. In summary, our analyses indicate a generalized disruption of the regulation of the GluRs in the DLPFC of females with MDD, with more specific GluR alterations in the suicides and in the male groups. -
Genome-Wide DNA Methylation Analysis of KRAS Mutant Cell Lines Ben Yi Tew1,5, Joel K
www.nature.com/scientificreports OPEN Genome-wide DNA methylation analysis of KRAS mutant cell lines Ben Yi Tew1,5, Joel K. Durand2,5, Kirsten L. Bryant2, Tikvah K. Hayes2, Sen Peng3, Nhan L. Tran4, Gerald C. Gooden1, David N. Buckley1, Channing J. Der2, Albert S. Baldwin2 ✉ & Bodour Salhia1 ✉ Oncogenic RAS mutations are associated with DNA methylation changes that alter gene expression to drive cancer. Recent studies suggest that DNA methylation changes may be stochastic in nature, while other groups propose distinct signaling pathways responsible for aberrant methylation. Better understanding of DNA methylation events associated with oncogenic KRAS expression could enhance therapeutic approaches. Here we analyzed the basal CpG methylation of 11 KRAS-mutant and dependent pancreatic cancer cell lines and observed strikingly similar methylation patterns. KRAS knockdown resulted in unique methylation changes with limited overlap between each cell line. In KRAS-mutant Pa16C pancreatic cancer cells, while KRAS knockdown resulted in over 8,000 diferentially methylated (DM) CpGs, treatment with the ERK1/2-selective inhibitor SCH772984 showed less than 40 DM CpGs, suggesting that ERK is not a broadly active driver of KRAS-associated DNA methylation. KRAS G12V overexpression in an isogenic lung model reveals >50,600 DM CpGs compared to non-transformed controls. In lung and pancreatic cells, gene ontology analyses of DM promoters show an enrichment for genes involved in diferentiation and development. Taken all together, KRAS-mediated DNA methylation are stochastic and independent of canonical downstream efector signaling. These epigenetically altered genes associated with KRAS expression could represent potential therapeutic targets in KRAS-driven cancer. Activating KRAS mutations can be found in nearly 25 percent of all cancers1. -
Research Article Microarray-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed Hipscs To
Hindawi Publishing Corporation Stem Cells International Volume 2013, Article ID 784629, 25 pages http://dx.doi.org/10.1155/2013/784629 Research Article Microarray-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed hiPSCs to Differentiated Neuronal and Cardiac Progeny Leonhard Linta,1 Marianne Stockmann,1 Qiong Lin,2 André Lechel,3 Christian Proepper,1 Tobias M. Boeckers,1 Alexander Kleger,3 and Stefan Liebau1 1 InstituteforAnatomyCellBiology,UlmUniversity,Albert-EinsteinAllee11,89081Ulm,Germany 2 Institute for Biomedical Engineering, Department of Cell Biology, RWTH Aachen, Pauwelstrasse 30, 52074 Aachen, Germany 3 Department of Internal Medicine I, Ulm University, Albert-Einstein Allee 11, 89081 Ulm, Germany Correspondence should be addressed to Alexander Kleger; [email protected] and Stefan Liebau; [email protected] Received 31 January 2013; Accepted 6 March 2013 Academic Editor: Michael Levin Copyright © 2013 Leonhard Linta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Ion channels are involved in a large variety of cellular processes including stem cell differentiation. Numerous families of ion channels are present in the organism which can be distinguished by means of, for example, ion selectivity, gating mechanism, composition, or cell biological function. To characterize the distinct expression of this group of ion channels we have compared the mRNA expression levels of ion channel genes between human keratinocyte-derived induced pluripotent stem cells (hiPSCs) and their somatic cell source, keratinocytes from plucked human hair. This comparison revealed that 26% of the analyzed probes showed an upregulation of ion channels in hiPSCs while just 6% were downregulated. -
A Simple Differentiation Protocol for Generation of Induced
1 Article, Special Issue "Induced Pluripotent Stem Cells in Neurodegenerative Diseases: Application for Therapy and 2 Disease Modeling" 3 A simple differentiation protocol for generation of 4 induced pluripotent stem cell-derived basal forebrain 5 cholinergic neurons for Alzheimer’s disease and 6 frontotemporal dementia disease modeling 7 Supplemental information 8 Method 1. Reprogramming and characterisation of MBE2960 healthy control iPSC line 9 The iPSCs were generated using skin fibroblasts obtained from subjects over the age of 18 years 10 by episomal method as described [40]. Briefly, reprogramming was performed on passage 8-10 11 fibroblasts by nucleofection (Lonza Amaxa Nucleofector) with episomal vectors expressing 12 OCT4, SOX2, KLF4, L-MYC, LIN28 and shRNA against p53 [41] in feeder- and serum- free 13 conditions using TeSR-E7 medium (Stemcell Technologies). Subsequently, reprogrammed 14 colonies were manually dissected to establish clonal cell lines [42]. Three clones were assessed 15 for pluripotency markers via immunocytochemistry (Figure S1A). The iPSC line was expanded 16 and characterised. Embryoid bodies were obtained as described [43] and using tri-lineage 17 differentiation kit (Stemcell Technologies). Germ layer differentiation was assessed by 18 immunochemistry (Figure S1B). Copy number variation (CNV) analysis of original fibroblasts 19 and iPSCs from MBE2960 (Figure S1C) was performed using Illumina HumanCore Beadchip 20 arrays as we described [40]. CNV analyses were performed using PennCNV and QuantiSNP with 21 default parameter settings [44,45]. Chromosomal aberrations were deemed to involve at least 10 22 contiguous single nucleotide polymorphisms (SNPs) or a genomic region spanning at least 1MB 23 [44,45]. The B allele frequency (BAF) and the log R ratio (LRR) were extracted from 24 GenomeStudio (Illumina) for representation (Figure S1D).