The Expression and Role of LRRC31 in the Esophageal Epithelium
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A Missense Polymorphism in the Putative Pheromone Receptor Gene VN1R1 Is Associated with Sociosexual Behavior
OPEN Citation: Transl Psychiatry (2017) 7, e1102; doi:10.1038/tp.2017.70 www.nature.com/tp ORIGINAL ARTICLE A missense polymorphism in the putative pheromone receptor gene VN1R1 is associated with sociosexual behavior S Henningsson1, D Hovey1, K Vass1, H Walum2,3,4,5, K Sandnabba6, P Santtila6, P Jern6 and L Westberg1 Pheromones regulate social and reproductive behavior in most mammalian species. These effects are mediated by the vomeronasal and main olfactory systems. Effects of putative pheromones on human neuroendocrine activity, brain activity and attractiveness ratings suggest that humans may communicate via similar chemosignaling. Here we studied two samples of younger and older individuals, respectively, with respect to one nonsynonymous polymorphism in the gene encoding the human vomeronasal type-1 receptor 1, VN1R1, and one nonsynonymous polymorphism in the gene encoding the olfactory receptor OR7D4. Participants in both samples had self-reported their sociosexual behavior using the sociosexual orientation inventory, including questions regarding lifetime number of one-night stands, number of partners last year and expected number of partners the coming 5 years. In women, there was a significant association between the VN1R1 polymorphism and sociosexual behavior in both samples, driven specifically by the question regarding one-night stands. Our results support the hypothesis that human social interaction is modulated by communication via chemosignaling. Translational Psychiatry (2017) 7, e1102; doi:10.1038/tp.2017.70; published -
Supplementary Information Changes in the Plasma Proteome At
Supplementary Information Changes in the plasma proteome at asymptomatic and symptomatic stages of autosomal dominant Alzheimer’s disease Julia Muenchhoff1, Anne Poljak1,2,3, Anbupalam Thalamuthu1, Veer B. Gupta4,5, Pratishtha Chatterjee4,5,6, Mark Raftery2, Colin L. Masters7, John C. Morris8,9,10, Randall J. Bateman8,9, Anne M. Fagan8,9, Ralph N. Martins4,5,6, Perminder S. Sachdev1,11,* Supplementary Figure S1. Ratios of proteins differentially abundant in asymptomatic carriers of PSEN1 and APP Dutch mutations. Mean ratios and standard deviations of plasma proteins from asymptomatic PSEN1 mutation carriers (PSEN1) and APP Dutch mutation carriers (APP) relative to reference masterpool as quantified by iTRAQ. Ratios that significantly differed are marked with asterisks (* p < 0.05; ** p < 0.01). C4A, complement C4-A; AZGP1, zinc-α-2-glycoprotein; HPX, hemopexin; PGLYPR2, N-acetylmuramoyl-L-alanine amidase isoform 2; α2AP, α-2-antiplasmin; APOL1, apolipoprotein L1; C1 inhibitor, plasma protease C1 inhibitor; ITIH2, inter-α-trypsin inhibitor heavy chain H2. 2 A) ADAD)CSF) ADAD)plasma) B) ADAD)CSF) ADAD)plasma) (Ringman)et)al)2015)) (current)study)) (Ringman)et)al)2015)) (current)study)) ATRN↓,%%AHSG↑% 32028% 49% %%%%%%%%HC2↑,%%ApoM↓% 24367% 31% 10083%% %%%%TBG↑,%%LUM↑% 24256% ApoC1↓↑% 16565% %%AMBP↑% 11738%%% SERPINA3↓↑% 24373% C6↓↑% ITIH2% 10574%% %%%%%%%CPN2↓%% ↓↑% %%%%%TTR↑% 11977% 10970% %SERPINF2↓↑% CFH↓% C5↑% CP↓↑% 16566% 11412%% 10127%% %%ITIH4↓↑% SerpinG1↓% 11967% %%ORM1↓↑% SerpinC1↓% 10612% %%%A1BG↑%%% %%%%FN1↓% 11461% %%%%ITIH1↑% C3↓↑% 11027% 19325% 10395%% %%%%%%HPR↓↑% HRG↓% %%% 13814%% 10338%% %%% %ApoA1 % %%%%%%%%%GSN↑% ↓↑ %%%%%%%%%%%%ApoD↓% 11385% C4BPA↓↑% 18976%% %%%%%%%%%%%%%%%%%ApoJ↓↑% 23266%%%% %%%%%%%%%%%%%%%%%%%%%%ApoA2↓↑% %%%%%%%%%%%%%%%%%%%%%%%%%%%%A2M↓↑% IGHM↑,%%GC↓↑,%%ApoB↓↑% 13769% % FGA↓↑,%%FGB↓↑,%%FGG↓↑% AFM↓↑,%%CFB↓↑,%% 19143%% ApoH↓↑,%%C4BPA↓↑% ApoA4↓↑%%% LOAD/MCI)plasma) LOAD/MCI)plasma) LOAD/MCI)plasma) LOAD/MCI)plasma) (Song)et)al)2014)) (Muenchhoff)et)al)2015)) (Song)et)al)2014)) (Muenchhoff)et)al)2015)) Supplementary Figure S2. -
Mouse Fscn3 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Fscn3 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Fscn3 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Fscn3 gene (NCBI Reference Sequence: NM_019569 ; Ensembl: ENSMUSG00000029707 ) is located on Mouse chromosome 6. 7 exons are identified, with the ATG start codon in exon 1 and the TAG stop codon in exon 6 (Transcript: ENSMUST00000031719). Exon 2 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Fscn3 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP24-176I9 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 2 starts from about 9.71% of the coding region. The knockout of Exon 2 will result in frameshift of the gene. The size of intron 1 for 5'-loxP site insertion: 1817 bp, and the size of intron 2 for 3'-loxP site insertion: 839 bp. The size of effective cKO region: ~1197 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 3 7 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Homology arm Exon of mouse Fscn3 cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Ovarian Gene Expression in the Absence of FIGLA, an Oocyte
BMC Developmental Biology BioMed Central Research article Open Access Ovarian gene expression in the absence of FIGLA, an oocyte-specific transcription factor Saurabh Joshi*1, Holly Davies1, Lauren Porter Sims2, Shawn E Levy2 and Jurrien Dean1 Address: 1Laboratory of Cellular and Developmental Biology, NIDDK, National Institutes of Health, Bethesda, MD 20892, USA and 2Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA Email: Saurabh Joshi* - [email protected]; Holly Davies - [email protected]; Lauren Porter Sims - [email protected]; Shawn E Levy - [email protected]; Jurrien Dean - [email protected] * Corresponding author Published: 13 June 2007 Received: 11 December 2006 Accepted: 13 June 2007 BMC Developmental Biology 2007, 7:67 doi:10.1186/1471-213X-7-67 This article is available from: http://www.biomedcentral.com/1471-213X/7/67 © 2007 Joshi et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Ovarian folliculogenesis in mammals is a complex process involving interactions between germ and somatic cells. Carefully orchestrated expression of transcription factors, cell adhesion molecules and growth factors are required for success. We have identified a germ-cell specific, basic helix-loop-helix transcription factor, FIGLA (Factor In the GermLine, Alpha) and demonstrated its involvement in two independent developmental processes: formation of the primordial follicle and coordinate expression of zona pellucida genes. Results: Taking advantage of Figla null mouse lines, we have used a combined approach of microarray and Serial Analysis of Gene Expression (SAGE) to identify potential downstream target genes. -
Mammalian Male Germ Cells Are Fertile Ground for Expression Profiling Of
REPRODUCTIONREVIEW Mammalian male germ cells are fertile ground for expression profiling of sexual reproduction Gunnar Wrobel and Michael Primig Biozentrum and Swiss Institute of Bioinformatics, Klingelbergstrasse 50-70, 4056 Basel, Switzerland Correspondence should be addressed to Michael Primig; Email: [email protected] Abstract Recent large-scale transcriptional profiling experiments of mammalian spermatogenesis using rodent model systems and different types of microarrays have yielded insight into the expression program of male germ cells. These studies revealed that an astonishingly large number of loci are differentially expressed during spermatogenesis. Among them are several hundred transcripts that appear to be specific for meiotic and post-meiotic germ cells. This group includes many genes that were pre- viously implicated in spermatogenesis and/or fertility and others that are as yet poorly characterized. Profiling experiments thus reveal candidates for regulation of spermatogenesis and fertility as well as targets for innovative contraceptives that act on gene products absent in somatic tissues. In this review, consolidated high density oligonucleotide microarray data from rodent total testis and purified germ cell samples are analyzed and their impact on our understanding of the transcriptional program governing male germ cell differentiation is discussed. Reproduction (2005) 129 1–7 Introduction 2002, Sadate-Ngatchou et al. 2003) and the absence of cAMP responsive-element modulator (Crem) and deleted During mammalian male -
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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/) -
Mechanism of Interleukin-1- and Tumor Necrosis Factor Α-Dependent Regulation of the Α1-Antichymotrypsin Gene in Human Astrocyt
The Journal of Neuroscience, October 15, 2000, 20(20):7510–7516 Mechanism of Interleukin-1- and Tumor Necrosis Factor ␣- ␣ Dependent Regulation of the 1-Antichymotrypsin Gene in Human Astrocytes Tomasz Kordula,1 Marcin Bugno,1 Russell E. Rydel,2 and James Travis3 1Institute of Molecular Biology, Jagiellonian University, 31-120 Krako´ w, Poland, 2Elan Pharmaceuticals, South San Francisco, California 94080, and 3Department of Biochemistry and Molecular Biology, The University of Georgia, Athens, Georgia 30602 ␣ The expression of 1-antichymotrypsin (ACT) is significantly en- which bind nuclear factor kB (NF-kB) and one that binds activat- hanced in affected brain regions in Alzheimer’s disease. This ing protein 1 (AP-1). All of these elements contribute to the full serine proteinase inhibitor specifically colocalizes with filamen- responsiveness of the ACT gene to both cytokines, as deter- tous -amyloid deposits and recently has been shown to influ- mined by deletion and mutational analysis. The 5Ј NF-kB high- ence both formation and destabilization of -amyloid fibrils. In affinity binding site and AP-1 element contribute most to the the brain, ACT is expressed in astrocytes, and interleukin-1 (IL-1), enhancement of gene transcription in response to TNF and IL-1. tumor necrosis factor ␣ (TNF), oncostatin M (OSM), and IL-6/ In addition, we demonstrate that the 5Ј untranslated region of the soluble IL-6 receptor complexes control synthesis of this inhibi- ACT mRNA does not contribute to cytokine-mediated activation. tor. Here, we characterize a molecular mechanism responsible Finally, we find that overexpression of the NF-kB inhibitor (IkB) for both IL-1 and TNF-induced expression of ACT gene in astro- totally inhibits any activation mediated by the newly identified cytes. -