Ovarian Gene Expression in the Absence of FIGLA, an Oocyte
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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. -
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 -
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 -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Goat Anti-Actin-Like 7B Antibody Peptide-Affinity Purified Goat Antibody Catalog # Af1021b
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 Goat Anti-Actin-like 7B Antibody Peptide-affinity purified goat antibody Catalog # AF1021b Specification Goat Anti-Actin-like 7B Antibody - Product Information Application WB Primary Accession Q9Y614 Other Accession NP_006677, 10880 Reactivity Human Host Goat Clonality Polyclonal Concentration 100ug/200ul Isotype IgG Calculated MW 45234 Goat Anti-Actin-like 7B Antibody - Additional AF1021b (0.03 µg/ml) staining of human Information testis lysate (35 µg protein in RIPA buffer). Primary incubation was 1 hour. Detected by Gene ID 10880 chemiluminescence. Other Names Actin-like protein 7B, Actin-like-7-beta, Goat Anti-Actin-like 7B Antibody - ACTL7B Background Format The protein encoded by this gene is a member 0.5 mg IgG/ml in Tris saline (20mM Tris of a family of actin-related proteins (ARPs) pH7.3, 150mM NaCl), 0.02% sodium azide, which share significant amino acid sequence with 0.5% bovine serum albumin identity to conventional actins. Both actins and ARPs have an actin fold, which is an Storage ATP-binding cleft, as a common feature. The Maintain refrigerated at 2-8°C for up to 6 ARPs are involved in diverse cellular processes, months. For long term storage store at including vesicular transport, spindle -20°C in small aliquots to prevent orientation, nuclear migration and chromatin freeze-thaw cycles. remodeling. This gene (ACTL7B), and related gene, ACTL7A, are intronless, and are located Precautions Goat Anti-Actin-like 7B Antibody is for approximately 4 kb apart in a head-to-head research use only and not for use in orientation within the familial dysautonomia diagnostic or therapeutic procedures. -
TCF3 Antibody Product Type: Primary Antibodies Description: Rabbit Polyclonal to TCF3 Immunogen:3 Synthetic Peptides (Human) Conjugated to KLH
PRODUCT INFORMATION Product name: TCF3 antibody Product type: Primary antibodies Description: Rabbit polyclonal to TCF3 Immunogen:3 synthetic peptides (human) conjugated to KLH. Reacts with: Hu, Ms Tested applications: ELISA and WB. GENE INFORMATION Gene Symbol: TCF3 Gene Name: transcription factor 3 (E2A immunoglobulin enhancer binding factors E12/E47) Ensembl ID: ENSG00000071564 Entrez GeneID:6929 GenBank Accession number: M65214.1 Omim ID:147141 SwissProt:P15923 Molecular weight of TCF3: 67.6kDa (Isoform E12) and 67.265kDa (Isoform E47) Function: Heterodimers between TCF3 and tissuespecific basic helixloophelix (bHLH) proteins play major roles in determining tissuespecific cell fate during embryogenesis, like muscle or early Bcell differentiation. Dimers bind DNA on Ebox motifs: 5'CANNTG3'. Binds to the kappaE2 site in the kappa immunoglobulin gene enhancer. Subunit structure: Efficient DNA binding requires dimerization with another bHLH protein. Forms a heterodimer with ASH1 and TWIST2. Isoform E12 interacts with GRIPE and FIGLA By similarity. Interacts with PTF1A and TGFB1I1. Component of a nuclear TAL1 complex composed at least of CBFA2T3, LDB1, TAL1 and TCF3 By similarity. Interacts with UBE2I. Subcellular localization: Nucleus Involvement in disease:Chromosomal aberrations involving TCF3 are cause of forms of preBcell acute lymphoblastic leukemia (BALL). Translocation t(1;19)(q23;p13.3) with PBX1; Translocation t(17;19)(q22;p13.3) with HLF. Inversion inv(19)(p13;q13) with TFPT. APPLICATION NOTE Recommended dilution: • ELISA: Antibody specificity was verified by direct ELISA against the 3 immunogen peptides. A titer of 1/15000 has been determined. Appropriate specificity controls were run. -
Genome-Wide Association Studies of Smooth Pursuit and Antisaccade Eye Movements in Psychotic Disorders: findings from the B-SNIP Study
OPEN Citation: Transl Psychiatry (2017) 7, e1249; doi:10.1038/tp.2017.210 www.nature.com/tp ORIGINAL ARTICLE Genome-wide association studies of smooth pursuit and antisaccade eye movements in psychotic disorders: findings from the B-SNIP study R Lencer1, LJ Mills2, N Alliey-Rodriguez3, R Shafee4,5,AMLee6, JL Reilly7, A Sprenger8, JE McDowell9, SA McCarroll4, MS Keshavan10, GD Pearlson11,12, CA Tamminga13, BA Clementz9, ES Gershon3, JA Sweeney13,14 and JR Bishop6,15 Eye movement deviations, particularly deficits of initial sensorimotor processing and sustained pursuit maintenance, and antisaccade inhibition errors, are established intermediate phenotypes for psychotic disorders. We here studied eye movement measures of 849 participants from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study (schizophrenia N = 230, schizoaffective disorder N = 155, psychotic bipolar disorder N = 206 and healthy controls N = 258) as quantitative phenotypes in relation to genetic data, while controlling for genetically derived ancestry measures, age and sex. A mixed-modeling genome-wide association studies approach was used including ~ 4.4 million genotypes (PsychChip and 1000 Genomes imputation). Across participants, sensorimotor processing at pursuit initiation was significantly associated with a single nucleotide polymorphism in IPO8 (12p11.21, P =8×10− 11), whereas suggestive associations with sustained pursuit maintenance were identified with SNPs in SH3GL2 (9p22.2, P =3×10− 8). In participants of predominantly African ancestry, sensorimotor processing was also significantly associated with SNPs in PCDH12 (5q31.3, P = 1.6 × 10 − 10), and suggestive associations were observed with NRSN1 (6p22.3, P = 5.4 × 10 −8) and LMO7 (13q22.2, P = 7.3x10−8), whereas antisaccade error rate was significantly associated with a non-coding region at chromosome 7 (P = 6.5 × 10− 9). -
Identification of Candidate Genes in Regulation of Spermatogenesis In
Animal Reproduction Science 205 (2019) 52–61 Contents lists available at ScienceDirect Animal Reproduction Science journal homepage: www.elsevier.com/locate/anireprosci Identification of candidate genes in regulation of spermatogenesis in sheep testis following dietary vitamin E supplementation T Yang-Hua Qua,1, Lu-Yang Jiana,1, Ce Liua, Yong Maa, Chen-Chen Xua, Yue-Feng Gaoa, ⁎ Zoltan Machatyb, Hai-Ling Luoa, a State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China b Purdue University, Department of Animal Sciences, West Lafayette, IN, 47907, USA ARTICLE INFO ABSTRACT Keywords: Dietary vitamin E supplementation is beneficial to semen quality in different sheep and goat Vitamin E breeds. The aim of this research was to further investigate the effect of vitamin E in sheep on Spermatogenesis spermatogenesis and its regulatory mechanisms using RNA-seq. Thirty male Hu lambs were Male Hu lamb randomly divided into three groups. The animals received 0, 200 or 2000 IU/day vitamin E RNA-seq dietary supplementation for 105 days, and its effects were subsequently evaluated. The results indicate vitamin E supplementation increased the number of germ cells in the testes and epidi- dymides. The positive effects were reduced, however, in animals that received 2000 IU/d vitamin E. Using the RNA-seq procedure, there was detection of a number of differentially expressed genes such as NDRG1, FSCN3 and CYP26B1 with these genes being mainly related to the reg- ulation of spermatogenesis. Supplementation with 2000 IU/d vitamin E supplementation resulted in a lesser abundance of skeleton-related transcripts such as TUBB, VIM and different subtypes of collagen, and there was also an effect on the ECM-receptor interaction pathway. -
Methylation of Leukocyte DNA and Ovarian Cancer
Fridley et al. BMC Medical Genomics 2014, 7:21 http://www.biomedcentral.com/1755-8794/7/21 RESEARCH ARTICLE Open Access Methylation of leukocyte DNA and ovarian cancer: relationships with disease status and outcome Brooke L Fridley1*, Sebastian M Armasu2, Mine S Cicek2, Melissa C Larson2, Chen Wang2, Stacey J Winham2, Kimberly R Kalli3, Devin C Koestler1,4, David N Rider2, Viji Shridhar5, Janet E Olson2, Julie M Cunningham5 and Ellen L Goode2 Abstract Background: Genome-wide interrogation of DNA methylation (DNAm) in blood-derived leukocytes has become feasible with the advent of CpG genotyping arrays. In epithelial ovarian cancer (EOC), one report found substantial DNAm differences between cases and controls; however, many of these disease-associated CpGs were attributed to differences in white blood cell type distributions. Methods: We examined blood-based DNAm in 336 EOC cases and 398 controls; we included only high-quality CpG loci that did not show evidence of association with white blood cell type distributions to evaluate association with case status and overall survival. Results: Of 13,816 CpGs, no significant associations were observed with survival, although eight CpGs associated with survival at p < 10−3, including methylation within a CpG island located in the promoter region of GABRE (p = 5.38 x 10−5, HR = 0.95). In contrast, 53 CpG methylation sites were significantly associated with EOC risk (p <5 x10−6). The top association was observed for the methylation probe cg04834572 located approximately 315 kb upstream of DUSP13 (p = 1.6 x10−14). Other disease-associated CpGs included those near or within HHIP (cg14580567; p =5.6x10−11), HDAC3 (cg10414058; p = 6.3x10−12), and SCR (cg05498681; p = 4.8x10−7). -
Dynamic Transcriptional and Chromatin Accessibility Landscape of Medaka Embryogenesis
Downloaded from genome.cshlp.org on October 8, 2021 - Published by Cold Spring Harbor Laboratory Press Dynamic Transcriptional and Chromatin Accessibility Landscape of Medaka Embryogenesis Yingshu Li1,2,3,+, Yongjie Liu1,2,3,+, Hang Yang1,2,3, Ting Zhang1,2, Kiyoshi Naruse4,*, Qiang Tu1,2,3,* 1 State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100101, China 2 Key Laboratory of Genetic Network Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China 3 University of Chinese Academy of Sciences, Beijing 100049, China 4 Laboratory of Bioresources, National Institute for Basic Biology, Okazaki 444-8585, Aichi, Japan + These authors are joint first authors and contributed equally to this work. * Corresponding authors: [email protected], [email protected] Abstract Medaka (Oryzias latipes) has become an important vertebrate model widely used in genetics, developmental biology, environmental sciences, and many other fields. A high-quality genome sequence and a variety of genetic tools are available for this model organism. However, existing genome annotation is still rudimentary, as it was mainly based on computational prediction and short-read RNA-seq data. Here we report a dynamic transcriptome landscape of medaka embryogenesis profiled by long-read RNA-seq, short-read RNA-seq, and ATAC-seq. Integrating these datasets, we constructed a much-improved gene model set including about 17,000 novel isoforms, identified 1600 transcription factors, 1100 long non-coding RNAs, and 150,000 potential cis-regulatory elements as well. Time-series datasets provided another dimension of information. -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7